{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/method/fail/papers/ran/1","list_of":"/method/fail","method":"fail","archive":{"snapshot":"2025-07-28"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"ran","order_definition":"only papers where Syntology ran at least one harvested sample; date (newest first), ties by arXiv id","caption":"We ran code from the paper's repository; we did not isolate this method inside it.","absence":"A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.","page":1,"pages_in_order":2,"rows_per_page":100,"rows":[1,100],"of":181,"counts":{"archive_papers_tagged":1436,"with_a_code_link":607,"where_syntology_ran_a_sample":181,"not_listed_spam_title":0,"listed":1436,"listed_where_code_ran":181,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":148,"every_run_a_failure_of_syntologys_instrument":33,"listed_with_a_run_with_no_instrument_failure":148,"listed_every_run_a_failure_of_syntologys_instrument":33,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/method/fail/papers/ran/1","prev":null,"next":"/method/fail/papers/ran/2","papers":[{"paper":"/paper/towards-real-world-test-time-adaptation-tri","slug":"towards-real-world-test-time-adaptation-tri","title":"Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization","date":"2023-09-26","arxiv_id":"2309.14949","n_code_links":1,"syntology":{"ran":10,"of":13,"n_ran_checked":7,"n_instrument":3,"unverified":3,"pointer_only":13,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 3 where Syntology's instrument failed) · 3 unverified","official":{"repos":["gorilla-lab-scut/tribe"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/video-adverse-weather-component-suppression","slug":"video-adverse-weather-component-suppression","title":"Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation","date":"2023-09-24","arxiv_id":"2309.13700","n_code_links":1,"syntology":{"ran":10,"of":14,"n_ran_checked":10,"n_instrument":0,"unverified":4,"pointer_only":14,"phrase":"10 ran (of which 10 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified; every one of the 10 samples that ran constructed an object rather than computing a result","official":{"repos":["scott-yjyang/ViWS-Net"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":10,"n_ran_no_instrument_failure":10,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/the-reversal-curse-llms-trained-on-a-is-b","slug":"the-reversal-curse-llms-trained-on-a-is-b","title":"The Reversal Curse: LLMs trained on \"A is B\" fail to learn \"B is A\"","date":"2023-09-21","arxiv_id":"2309.12288","n_code_links":2,"syntology":{"ran":9,"of":11,"n_ran_checked":9,"n_instrument":0,"unverified":2,"pointer_only":11,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["lukasberglund/reversal_curse"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/gptfuzzer-red-teaming-large-language-models","slug":"gptfuzzer-red-teaming-large-language-models","title":"GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts","date":"2023-09-19","arxiv_id":"2309.10253","n_code_links":3,"syntology":{"ran":2,"of":2,"n_ran_checked":2,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["sherdencooper/gptfuzz"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/catr-combinatorial-dependence-audio-queried","slug":"catr-combinatorial-dependence-audio-queried","title":"CATR: Combinatorial-Dependence Audio-Queried Transformer for Audio-Visual Video Segmentation","date":"2023-09-18","arxiv_id":"2309.09709","n_code_links":1,"syntology":{"ran":8,"of":10,"n_ran_checked":6,"n_instrument":2,"unverified":2,"pointer_only":10,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified","official":{"repos":["aspirinone/catr.github.io"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/anchor-points-benchmarking-models-with-much","slug":"anchor-points-benchmarking-models-with-much","title":"Anchor Points: Benchmarking Models with Much Fewer Examples","date":"2023-09-14","arxiv_id":"2309.08638","n_code_links":1,"syntology":{"ran":3,"of":4,"n_ran_checked":0,"n_instrument":3,"unverified":1,"pointer_only":4,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified","official":{"repos":["rvivek3/anchorpoints"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/conr-contrastive-regularizer-for-deep","slug":"conr-contrastive-regularizer-for-deep","title":"ConR: Contrastive Regularizer for Deep Imbalanced Regression","date":"2023-09-13","arxiv_id":"2309.06651","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["borealisai/conr"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/multi-modality-guidance-network-for-missing","slug":"multi-modality-guidance-network-for-missing","title":"Multimodal Guidance Network for Missing-Modality Inference in Content Moderation","date":"2023-09-07","arxiv_id":"2309.03452","n_code_links":1,"syntology":{"ran":4,"of":10,"n_ran_checked":4,"n_instrument":0,"unverified":6,"pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified","official":{"repos":["zhuokaizhao/multimodal-guidance-network"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":6,"ran_from_kinds":["official"]}}},{"paper":"/paper/hide-and-seek-has-a-lightweight-framework-for","slug":"hide-and-seek-has-a-lightweight-framework-for","title":"Hide and Seek (HaS): A Lightweight Framework for Prompt Privacy Protection","date":"2023-09-06","arxiv_id":"2309.03057","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":1,"n_instrument":2,"unverified":0,"pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["alohachen/hide-and-seek"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/multi-fidelity-reduced-order-surrogate","slug":"multi-fidelity-reduced-order-surrogate","title":"Multi-fidelity reduced-order surrogate modeling","date":"2023-09-01","arxiv_id":"2309.00325","n_code_links":1,"syntology":{"ran":2,"of":3,"n_ran_checked":2,"n_instrument":0,"unverified":1,"pointer_only":3,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["contipaolo/multifidelity_pod"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/yarn-efficient-context-window-extension-of","slug":"yarn-efficient-context-window-extension-of","title":"YaRN: Efficient Context Window Extension of Large Language Models","date":"2023-08-31","arxiv_id":"2309.00071","n_code_links":10,"syntology":{"ran":17,"of":20,"n_ran_checked":17,"n_instrument":0,"unverified":3,"pointer_only":4,"phrase":"17 ran (of which 0 constructed an object rather than computing a result; 17 with no instrument failure: 0 honoured, 1 violated, 16 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","official":{"repos":["jquesnelle/scaled-rope","jquesnelle/yarn"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"paper":"/paper/lm-infinite-simple-on-the-fly-length","slug":"lm-infinite-simple-on-the-fly-length","title":"LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models","date":"2023-08-30","arxiv_id":"2308.16137","n_code_links":1,"syntology":{"ran":7,"of":11,"n_ran_checked":5,"n_instrument":2,"unverified":4,"pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 2 where Syntology's instrument failed) · 4 unverified","official":{"repos":["Glaciohound/LM-Infinite"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/bayotide-bayesian-online-multivariate-time","slug":"bayotide-bayesian-online-multivariate-time","title":"BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition","date":"2023-08-28","arxiv_id":"2308.14906","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":5,"n_instrument":0,"unverified":1,"pointer_only":6,"phrase":"5 ran (of which 1 constructed an object rather than computing a result; 5 with no instrument failure: 4 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["xuangu-fang/bayotide"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":1,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/beyond-one-to-one-rethinking-the-referring","slug":"beyond-one-to-one-rethinking-the-referring","title":"Beyond One-to-One: Rethinking the Referring Image Segmentation","date":"2023-08-26","arxiv_id":"2308.13853","n_code_links":1,"syntology":{"ran":9,"of":13,"n_ran_checked":6,"n_instrument":3,"unverified":4,"pointer_only":13,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 1 honoured, 0 violated, 5 with no contract checked; 3 where Syntology's instrument failed) · 4 unverified","official":{"repos":["toggle1995/ris-dmmi"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/generalized-continual-category-discovery","slug":"generalized-continual-category-discovery","title":"Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery","date":"2023-08-23","arxiv_id":"2308.12112","n_code_links":1,"syntology":{"ran":3,"of":6,"n_ran_checked":1,"n_instrument":2,"unverified":3,"pointer_only":6,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","official":{"repos":["grypesc/camp"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/rella-retrieval-enhanced-large-language","slug":"rella-retrieval-enhanced-large-language","title":"ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","date":"2023-08-22","arxiv_id":"2308.11131","n_code_links":1,"syntology":{"ran":8,"of":9,"n_ran_checked":8,"n_instrument":0,"unverified":1,"pointer_only":9,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["lavieenrose365/rella"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/deciphering-raw-data-in-neuro-symbolic","slug":"deciphering-raw-data-in-neuro-symbolic","title":"Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees","date":"2023-08-21","arxiv_id":"2308.10487","n_code_links":1,"syntology":{"ran":5,"of":8,"n_ran_checked":5,"n_instrument":0,"unverified":3,"pointer_only":8,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","official":{"repos":["abductivelearning/abl-tl"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/metagcd-learning-to-continually-learn-in","slug":"metagcd-learning-to-continually-learn-in","title":"MetaGCD: Learning to Continually Learn in Generalized Category Discovery","date":"2023-08-21","arxiv_id":"2308.11063","n_code_links":1,"syntology":{"ran":8,"of":12,"n_ran_checked":6,"n_instrument":2,"unverified":4,"pointer_only":12,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 2 where Syntology's instrument failed) · 4 unverified","official":{"repos":["ynanwu/metagcd"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/audio-visual-class-incremental-learning","slug":"audio-visual-class-incremental-learning","title":"Audio-Visual Class-Incremental Learning","date":"2023-08-21","arxiv_id":"2308.11073","n_code_links":1,"syntology":{"ran":7,"of":10,"n_ran_checked":2,"n_instrument":5,"unverified":3,"pointer_only":10,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 5 where Syntology's instrument failed) · 3 unverified","official":{"repos":["weiguopian/av-cil_iccv2023"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/on-the-robustness-of-open-world-test-time","slug":"on-the-robustness-of-open-world-test-time","title":"On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion","date":"2023-08-19","arxiv_id":"2308.09942","n_code_links":1,"syntology":{"ran":9,"of":11,"n_ran_checked":9,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["yushu-li/owttt"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/open-vocabulary-video-question-answering-a","slug":"open-vocabulary-video-question-answering-a","title":"Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models","date":"2023-08-18","arxiv_id":"2308.09363","n_code_links":1,"syntology":{"ran":4,"of":8,"n_ran_checked":4,"n_instrument":0,"unverified":4,"pointer_only":8,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","official":{"repos":["mlvlab/ovqa"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/expressivity-of-graph-neural-networks-through","slug":"expressivity-of-graph-neural-networks-through","title":"Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness","date":"2023-08-16","arxiv_id":"2308.08173","n_code_links":1,"syntology":{"ran":7,"of":12,"n_ran_checked":5,"n_instrument":2,"unverified":5,"pointer_only":12,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 2 honoured, 0 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 5 unverified","official":{"repos":["francesco-campi/rob-subgraphs"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":"/paper/temporal-interest-network-for-click-through","slug":"temporal-interest-network-for-click-through","title":"Temporal Interest Network for User Response Prediction","date":"2023-08-15","arxiv_id":"2308.08487","n_code_links":2,"syntology":{"ran":4,"of":7,"n_ran_checked":4,"n_instrument":0,"unverified":3,"pointer_only":7,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","official":{"repos":["zhouxy1003/tin"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/towards-open-set-test-time-adaptation","slug":"towards-open-set-test-time-adaptation","title":"Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization","date":"2023-08-14","arxiv_id":"2308.06879","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":2,"n_instrument":1,"unverified":0,"pointer_only":0,"phrase":"3 ran (of which 1 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":null}},{"paper":"/paper/gsasrec-reducing-overconfidence-in-sequential","slug":"gsasrec-reducing-overconfidence-in-sequential","title":"gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling","date":"2023-08-14","arxiv_id":"2308.07192","n_code_links":2,"syntology":{"ran":7,"of":8,"n_ran_checked":5,"n_instrument":2,"unverified":1,"pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 1 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["asash/gsasrec"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["listed","official"]}}},{"paper":"/paper/compositional-feature-augmentation-for","slug":"compositional-feature-augmentation-for","title":"Compositional Feature Augmentation for Unbiased Scene Graph Generation","date":"2023-08-13","arxiv_id":"2308.06712","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":3,"n_instrument":0,"unverified":0,"pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["hkust-longgroup/cfa"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/trajpac-towards-robustness-verification-of","slug":"trajpac-towards-robustness-verification-of","title":"TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models","date":"2023-08-11","arxiv_id":"2308.05985","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["zl-helios/trajpac"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/u-red-unsupervised-3d-shape-retrieval-and","slug":"u-red-unsupervised-3d-shape-retrieval-and","title":"U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds","date":"2023-08-11","arxiv_id":"2308.06383","n_code_links":1,"syntology":{"ran":6,"of":14,"n_ran_checked":3,"n_instrument":3,"unverified":8,"pointer_only":14,"phrase":"6 ran (of which 3 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 3 where Syntology's instrument failed) · 8 unverified","official":{"repos":["zhangcyg/u-red"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":3,"n_ran_no_instrument_failure":3,"n_unverified":8,"ran_from_kinds":["official"]}}},{"paper":"/paper/plankassembly-robust-3d-reconstruction-from","slug":"plankassembly-robust-3d-reconstruction-from","title":"PlankAssembly: Robust 3D Reconstruction from Three Orthographic Views with Learnt Shape Programs","date":"2023-08-10","arxiv_id":"2308.05744","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; the one sample that ran constructed an object rather than computing a result","official":{"repos":["manycore-research/PlankAssembly"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/cumulative-reasoning-with-large-language","slug":"cumulative-reasoning-with-large-language","title":"Cumulative Reasoning with Large Language Models","date":"2023-08-08","arxiv_id":"2308.04371","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":3,"n_instrument":2,"unverified":1,"pointer_only":6,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["iiis-ai/cumulative-reasoning"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/v-detr-detr-with-vertex-relative-position","slug":"v-detr-detr-with-vertex-relative-position","title":"V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection","date":"2023-08-08","arxiv_id":"2308.04409","n_code_links":1,"syntology":{"ran":10,"of":12,"n_ran_checked":7,"n_instrument":3,"unverified":2,"pointer_only":2,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified","official":{"repos":["yichaoshen-ms/v-detr"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/knowledge-preserving-pruning-for-pre-trained","slug":"knowledge-preserving-pruning-for-pre-trained","title":"Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models","date":"2023-08-07","arxiv_id":"2308.03449","n_code_links":1,"syntology":{"ran":12,"of":16,"n_ran_checked":12,"n_instrument":0,"unverified":4,"pointer_only":16,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 0 honoured, 0 violated, 12 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","official":{"repos":["snudm-starlab/k-prune"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":12,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/dimensionality-reduction-for-improving-out-of","slug":"dimensionality-reduction-for-improving-out-of","title":"Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation","date":"2023-08-07","arxiv_id":"2308.03723","n_code_links":1,"syntology":{"ran":7,"of":9,"n_ran_checked":7,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["mckellwoodland/dimen_reduce_mahal"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/an-adaptive-model-ensemble-adversarial-attack","slug":"an-adaptive-model-ensemble-adversarial-attack","title":"An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability","date":"2023-08-05","arxiv_id":"2308.02897","n_code_links":1,"syntology":{"ran":1,"of":2,"n_ran_checked":1,"n_instrument":0,"unverified":1,"pointer_only":2,"phrase":"1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified; the one sample that ran constructed an object rather than computing a result","official":{"repos":["CHENBIN99/AdaEA"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/map-a-model-agnostic-pretraining-framework","slug":"map-a-model-agnostic-pretraining-framework","title":"MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction","date":"2023-08-03","arxiv_id":"2308.01737","n_code_links":1,"syntology":{"ran":4,"of":4,"n_ran_checked":4,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["chiangel/map-code"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/data-centric-diet-effective-multi-center","slug":"data-centric-diet-effective-multi-center","title":"Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation","date":"2023-08-02","arxiv_id":"2308.01189","n_code_links":0,"syntology":{"ran":3,"of":3,"n_ran_checked":3,"n_instrument":0,"unverified":0,"pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":null}},{"paper":"/paper/online-prototype-learning-for-online","slug":"online-prototype-learning-for-online","title":"Online Prototype Learning for Online Continual Learning","date":"2023-08-01","arxiv_id":"2308.00301","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["weilllllls/onpro"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/cmda-cross-modality-domain-adaptation-for","slug":"cmda-cross-modality-domain-adaptation-for","title":"CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation","date":"2023-07-29","arxiv_id":"2307.15942","n_code_links":1,"syntology":{"ran":7,"of":8,"n_ran_checked":4,"n_instrument":3,"unverified":1,"pointer_only":8,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified","official":{"repos":["xiarho/cmda"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/is-this-model-reliable-for-everyone-testing","slug":"is-this-model-reliable-for-everyone-testing","title":"Is this model reliable for everyone? Testing for strong calibration","date":"2023-07-28","arxiv_id":"2307.15247","n_code_links":1,"syntology":{"ran":1,"of":2,"n_ran_checked":0,"n_instrument":1,"unverified":1,"pointer_only":2,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["jjfeng/testing_strong_calibration"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/pg-rcnn-semantic-surface-point-generation-for","slug":"pg-rcnn-semantic-surface-point-generation-for","title":"PG-RCNN: Semantic Surface Point Generation for 3D Object Detection","date":"2023-07-24","arxiv_id":"2307.12637","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":2,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"2 ran (of which 1 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["quotation2520/pg-rcnn"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":1,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/evaluating-the-ripple-effects-of-knowledge","slug":"evaluating-the-ripple-effects-of-knowledge","title":"Evaluating the Ripple Effects of Knowledge Editing in Language Models","date":"2023-07-24","arxiv_id":"2307.12976","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["edenbiran/rippleedits"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/fractional-denoising-for-3d-molecular-pre","slug":"fractional-denoising-for-3d-molecular-pre","title":"Fractional Denoising for 3D Molecular Pre-training","date":"2023-07-20","arxiv_id":"2307.10683","n_code_links":1,"syntology":{"ran":1,"of":3,"n_ran_checked":1,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["fengshikun/frad"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/contextual-reliability-when-different","slug":"contextual-reliability-when-different","title":"Contextual Reliability: When Different Features Matter in Different Contexts","date":"2023-07-19","arxiv_id":"2307.10026","n_code_links":0,"syntology":{"ran":5,"of":11,"n_ran_checked":5,"n_instrument":0,"unverified":6,"pointer_only":11,"phrase":"5 ran (of which 1 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified","official":null}},{"paper":"/paper/cpcm-contextual-point-cloud-modeling-for","slug":"cpcm-contextual-point-cloud-modeling-for","title":"CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation","date":"2023-07-19","arxiv_id":"2307.10316","n_code_links":1,"syntology":{"ran":11,"of":11,"n_ran_checked":11,"n_instrument":0,"unverified":0,"pointer_only":2,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 0 violated, 11 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["lizhaoliu-Lec/CPCM"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/towards-authentic-face-restoration-with","slug":"towards-authentic-face-restoration-with","title":"Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond","date":"2023-07-18","arxiv_id":"2307.08996","n_code_links":0,"syntology":{"ran":4,"of":5,"n_ran_checked":4,"n_instrument":0,"unverified":1,"pointer_only":5,"phrase":"4 ran (of which 3 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":"/paper/domain-adaptation-for-enhanced-object","slug":"domain-adaptation-for-enhanced-object","title":"Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy Weather","date":"2023-07-18","arxiv_id":"2307.09676","n_code_links":1,"syntology":{"ran":13,"of":13,"n_ran_checked":12,"n_instrument":1,"unverified":0,"pointer_only":0,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 2 honoured, 1 violated, 9 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["jinlong17/da-detect"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":12,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/safe-dreamerv3-safe-reinforcement-learning","slug":"safe-dreamerv3-safe-reinforcement-learning","title":"SafeDreamer: Safe Reinforcement Learning with World Models","date":"2023-07-14","arxiv_id":"2307.07176","n_code_links":1,"syntology":{"ran":8,"of":12,"n_ran_checked":8,"n_instrument":0,"unverified":4,"pointer_only":4,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","official":{"repos":["pku-alignment/safedreamer"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/source-free-domain-adaptation-with-temporal","slug":"source-free-domain-adaptation-with-temporal","title":"Source-Free Domain Adaptation with Temporal Imputation for Time Series Data","date":"2023-07-14","arxiv_id":"2307.07542","n_code_links":1,"syntology":{"ran":9,"of":13,"n_ran_checked":9,"n_instrument":0,"unverified":4,"pointer_only":0,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","official":{"repos":["mohamedr002/mapu_sfda_ts"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/source-free-domain-adaptive-fundus-image-1","slug":"source-free-domain-adaptive-fundus-image-1","title":"Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher","date":"2023-07-14","arxiv_id":"2307.09973","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":0,"n_instrument":3,"unverified":0,"pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","official":{"repos":["lloongx/sfda-cbmt"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/sepvae-a-contrastive-vae-to-separate","slug":"sepvae-a-contrastive-vae-to-separate","title":"SepVAE: a contrastive VAE to separate pathological patterns from healthy ones","date":"2023-07-12","arxiv_id":"2307.06206","n_code_links":1,"syntology":{"ran":3,"of":4,"n_ran_checked":3,"n_instrument":0,"unverified":1,"pointer_only":4,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["neurospin-projects/2023_rlouiset_sepvae"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/end-to-end-supervised-multilabel-contrastive","slug":"end-to-end-supervised-multilabel-contrastive","title":"End-to-End Supervised Multilabel Contrastive Learning","date":"2023-07-08","arxiv_id":"2307.03967","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["mahdihosseini/kmcl"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/sphere2vec-a-general-purpose-location","slug":"sphere2vec-a-general-purpose-location","title":"Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions","date":"2023-06-30","arxiv_id":"2306.17624","n_code_links":1,"syntology":{"ran":3,"of":4,"n_ran_checked":0,"n_instrument":3,"unverified":1,"pointer_only":4,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":"/paper/still-no-lie-detector-for-language-models","slug":"still-no-lie-detector-for-language-models","title":"Still No Lie Detector for Language Models: Probing Empirical and Conceptual Roadblocks","date":"2023-06-30","arxiv_id":"2307.00175","n_code_links":1,"syntology":{"ran":8,"of":8,"n_ran_checked":1,"n_instrument":7,"unverified":0,"pointer_only":5,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 7 where Syntology's instrument failed) · 0 unverified","official":{"repos":["balevinstein/probes"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/individual-and-structural-graph-information","slug":"individual-and-structural-graph-information","title":"Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization","date":"2023-06-28","arxiv_id":"2306.15902","n_code_links":1,"syntology":{"ran":1,"of":3,"n_ran_checked":0,"n_instrument":1,"unverified":2,"pointer_only":3,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["yangling0818/graphood"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/maintaining-plasticity-in-deep-continual","slug":"maintaining-plasticity-in-deep-continual","title":"Maintaining Plasticity in Deep Continual Learning","date":"2023-06-23","arxiv_id":"2306.13812","n_code_links":1,"syntology":{"ran":2,"of":5,"n_ran_checked":2,"n_instrument":0,"unverified":3,"pointer_only":3,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","official":{"repos":["shibhansh/loss-of-plasticity"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/density-uncertainty-layers-for-reliable","slug":"density-uncertainty-layers-for-reliable","title":"Density Uncertainty Layers for Reliable Uncertainty Estimation","date":"2023-06-21","arxiv_id":"2306.12497","n_code_links":2,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["yookoon/density_uncertainty_layers"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/emergent-asymmetry-of-precision-and-recall","slug":"emergent-asymmetry-of-precision-and-recall","title":"Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions","date":"2023-06-16","arxiv_id":"2306.09618","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":3,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["mahyarkoy/emergent_asymmetry_pr"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/clip2protect-protecting-facial-privacy-using-1","slug":"clip2protect-protecting-facial-privacy-using-1","title":"CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via Adversarial Latent Search","date":"2023-06-16","arxiv_id":"2306.10008","n_code_links":1,"syntology":{"ran":3,"of":7,"n_ran_checked":2,"n_instrument":1,"unverified":4,"pointer_only":7,"phrase":"3 ran (of which 1 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 1 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified","official":{"repos":["fahadshamshad/clip2protect"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":4,"ran_from_kinds":["official","unlocated"]}}},{"paper":"/paper/kriging-convolutional-networks","slug":"kriging-convolutional-networks","title":"Kriging Convolutional Networks","date":"2023-06-15","arxiv_id":"2306.09463","n_code_links":1,"syntology":{"ran":1,"of":2,"n_ran_checked":1,"n_instrument":0,"unverified":1,"pointer_only":2,"phrase":"1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified; the one sample that ran constructed an object rather than computing a result","official":{"repos":["tufts-ml/kcn-torch"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/augment-then-smooth-reconciling-differential","slug":"augment-then-smooth-reconciling-differential","title":"Augment then Smooth: Reconciling Differential Privacy with Certified Robustness","date":"2023-06-14","arxiv_id":"2306.08656","n_code_links":1,"syntology":{"ran":2,"of":3,"n_ran_checked":0,"n_instrument":2,"unverified":1,"pointer_only":1,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["layer6ai-labs/dp-cert"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["official","unlocated"]}}},{"paper":"/paper/omega-optimistic-ema-gradients","slug":"omega-optimistic-ema-gradients","title":"Omega: Optimistic EMA Gradients","date":"2023-06-13","arxiv_id":"2306.07905","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; the one sample that ran constructed an object rather than computing a result","official":{"repos":["juan43ramirez/omega"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/generalizable-wireless-navigation-through","slug":"generalizable-wireless-navigation-through","title":"Digital Twin-Enhanced Wireless Indoor Navigation: Achieving Efficient Environment Sensing with Zero-Shot Reinforcement Learning","date":"2023-06-11","arxiv_id":"2306.06766","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":3,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["panshark/pirl-win"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/can-large-language-models-infer-causation","slug":"can-large-language-models-infer-causation","title":"Can Large Language Models Infer Causation from Correlation?","date":"2023-06-09","arxiv_id":"2306.05836","n_code_links":1,"syntology":{"ran":7,"of":9,"n_ran_checked":7,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["causalnlp/corr2cause"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/crysmmnet-multimodal-representation-for","slug":"crysmmnet-multimodal-representation-for","title":"CrysMMNet: Multimodal Representation for Crystal Property Prediction","date":"2023-06-09","arxiv_id":"2307.05390","n_code_links":1,"syntology":{"ran":5,"of":7,"n_ran_checked":5,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["kdmsit/crysmmnet"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/dos-diverse-outlier-sampling-for-out-of","slug":"dos-diverse-outlier-sampling-for-out-of","title":"DOS: Diverse Outlier Sampling for Out-of-Distribution Detection","date":"2023-06-03","arxiv_id":"2306.02031","n_code_links":2,"syntology":{"ran":20,"of":21,"n_ran_checked":11,"n_instrument":9,"unverified":1,"pointer_only":3,"phrase":"20 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 1 honoured, 1 violated, 9 with no contract checked; 9 where Syntology's instrument failed) · 1 unverified","official":{"repos":["lygjwy/dos"],"state":"official (archive's flag): 19 ran","n_ran":19,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":1,"ran_from_kinds":["listed","official"]}}},{"paper":"/paper/improving-adversarial-robustness-of-deqs-with","slug":"improving-adversarial-robustness-of-deqs-with","title":"Improving Adversarial Robustness of DEQs with Explicit Regulations Along the Neural Dynamics","date":"2023-06-02","arxiv_id":"2306.01435","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["minicheshire/deq-regulating-neural-dynamics"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/example-based-motion-synthesis-via-generative","slug":"example-based-motion-synthesis-via-generative","title":"Example-based Motion Synthesis via Generative Motion Matching","date":"2023-06-01","arxiv_id":"2306.00378","n_code_links":1,"syntology":{"ran":6,"of":7,"n_ran_checked":6,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["wyysf-98/GenMM"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/towards-accurate-data-free-quantization-for","slug":"towards-accurate-data-free-quantization-for","title":"Towards Accurate Post-training Quantization for Diffusion Models","date":"2023-05-30","arxiv_id":"2305.18723","n_code_links":1,"syntology":{"ran":5,"of":5,"n_ran_checked":1,"n_instrument":4,"unverified":0,"pointer_only":2,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 4 where Syntology's instrument failed) · 0 unverified","official":{"repos":["changyuanwang17/apq-dm"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official","unlocated"]}}},{"paper":"/paper/how-effective-are-neural-networks-for-fixing","slug":"how-effective-are-neural-networks-for-fixing","title":"How Effective Are Neural Networks for Fixing Security Vulnerabilities","date":"2023-05-29","arxiv_id":"2305.18607","n_code_links":1,"syntology":{"ran":4,"of":4,"n_ran_checked":0,"n_instrument":4,"unverified":0,"pointer_only":4,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 4 where Syntology's instrument failed) · 0 unverified","official":{"repos":["lin-tan/llm-vul"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/few-shot-rotation-invariant-aerial-image","slug":"few-shot-rotation-invariant-aerial-image","title":"Few-Shot Rotation-Invariant Aerial Image Semantic Segmentation","date":"2023-05-29","arxiv_id":"2306.11734","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":0,"n_instrument":2,"unverified":0,"pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["caoql98/frinet"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/dink-net-neural-clustering-on-large-graphs","slug":"dink-net-neural-clustering-on-large-graphs","title":"Dink-Net: Neural Clustering on Large Graphs","date":"2023-05-28","arxiv_id":"2305.18405","n_code_links":2,"syntology":{"ran":13,"of":17,"n_ran_checked":11,"n_instrument":2,"unverified":4,"pointer_only":2,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 0 violated, 11 with no contract checked; 2 where Syntology's instrument failed) · 4 unverified","official":{"repos":["yueliu1999/awesome-deep-graph-clustering","yueliu1999/dink-net"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/nero-neural-geometry-and-brdf-reconstruction","slug":"nero-neural-geometry-and-brdf-reconstruction","title":"NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images","date":"2023-05-27","arxiv_id":"2305.17398","n_code_links":1,"syntology":{"ran":11,"of":11,"n_ran_checked":9,"n_instrument":2,"unverified":0,"pointer_only":1,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 1 honoured, 0 violated, 8 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["liuyuan-pal/nero"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/a-slingshot-approach-to-learning-in-monotone","slug":"a-slingshot-approach-to-learning-in-monotone","title":"Adaptively Perturbed Mirror Descent for Learning in Games","date":"2023-05-26","arxiv_id":"2305.16610","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":2,"n_instrument":1,"unverified":0,"pointer_only":0,"phrase":"3 ran (of which 2 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["cyberagentailab/adaptively-perturbed-md"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":2,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/randomized-positional-encodings-boost-length","slug":"randomized-positional-encodings-boost-length","title":"Randomized Positional Encodings Boost Length Generalization of Transformers","date":"2023-05-26","arxiv_id":"2305.16843","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["deepmind/randomized_positional_encodings"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/nuscenes-qa-a-multi-modal-visual-question","slug":"nuscenes-qa-a-multi-modal-visual-question","title":"NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving Scenario","date":"2023-05-24","arxiv_id":"2305.14836","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":1,"n_instrument":1,"unverified":0,"pointer_only":1,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["qiantianwen/nuscenes-qa"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/scale-matters-attribution-meets-the-wavelet","slug":"scale-matters-attribution-meets-the-wavelet","title":"Assessment of the Reliablity of a Model's Decision by Generalizing Attribution to the Wavelet Domain","date":"2023-05-24","arxiv_id":"2305.14979","n_code_links":1,"syntology":{"ran":2,"of":7,"n_ran_checked":1,"n_instrument":1,"unverified":5,"pointer_only":7,"phrase":"2 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 5 unverified","official":{"repos":["gabrielkasmi/spectral-attribution"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":"/paper/property-guided-generative-modelling-for","slug":"property-guided-generative-modelling-for","title":"Robust Model-Based Optimization for Challenging Fitness Landscapes","date":"2023-05-23","arxiv_id":"2305.13650","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":0,"n_instrument":2,"unverified":0,"pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["sabagh1994/pgvae"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/can-large-language-models-infer-and-disagree","slug":"can-large-language-models-infer-and-disagree","title":"Can Large Language Models Capture Dissenting Human Voices?","date":"2023-05-23","arxiv_id":"2305.13788","n_code_links":1,"syntology":{"ran":24,"of":28,"n_ran_checked":24,"n_instrument":0,"unverified":4,"pointer_only":0,"phrase":"24 ran (of which 0 constructed an object rather than computing a result; 24 with no instrument failure: 0 honoured, 1 violated, 23 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","official":{"repos":["xfactlab/emnlp2023-llm-disagreement"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":14,"n_unverified":4,"ran_from_kinds":["found_in_text","official"]}}},{"paper":"/paper/compositional-text-to-image-synthesis-with","slug":"compositional-text-to-image-synthesis-with","title":"Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models","date":"2023-05-23","arxiv_id":"2305.13921","n_code_links":1,"syntology":{"ran":10,"of":14,"n_ran_checked":9,"n_instrument":1,"unverified":4,"pointer_only":1,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 1 violated, 8 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified","official":{"repos":["OPPO-Mente-Lab/attention-mask-control"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/text-video-retrieval-with-disentangled","slug":"text-video-retrieval-with-disentangled","title":"Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment","date":"2023-05-20","arxiv_id":"2305.12218","n_code_links":4,"syntology":{"ran":15,"of":23,"n_ran_checked":8,"n_instrument":7,"unverified":8,"pointer_only":7,"phrase":"15 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 2 honoured, 0 violated, 6 with no contract checked; 7 where Syntology's instrument failed) · 8 unverified","official":{"repos":["jpthu17/dicosa"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":5,"ran_from_kinds":["listed","official"]}}},{"paper":"/paper/evidence-networks-simple-losses-for-fast","slug":"evidence-networks-simple-losses-for-fast","title":"Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison","date":"2023-05-18","arxiv_id":"2305.11241","n_code_links":1,"syntology":{"ran":6,"of":6,"n_ran_checked":6,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["nialljeffrey/evidencenetworksdemo"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/transfer-causal-learning-causal-effect","slug":"transfer-causal-learning-causal-effect","title":"Transfer Learning for Causal Effect Estimation","date":"2023-05-16","arxiv_id":"2305.09126","n_code_links":0,"syntology":{"ran":2,"of":6,"n_ran_checked":2,"n_instrument":0,"unverified":4,"pointer_only":6,"phrase":"2 ran (of which 2 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified; every one of the 2 samples that ran constructed an object rather than computing a result","official":null}},{"paper":"/paper/denoising-diffusion-models-for-plug-and-play","slug":"denoising-diffusion-models-for-plug-and-play","title":"Denoising Diffusion Models for Plug-and-Play Image Restoration","date":"2023-05-15","arxiv_id":"2305.08995","n_code_links":3,"syntology":{"ran":15,"of":16,"n_ran_checked":11,"n_instrument":4,"unverified":1,"pointer_only":11,"phrase":"15 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 3 honoured, 0 violated, 8 with no contract checked; 4 where Syntology's instrument failed) · 1 unverified","official":{"repos":["yuanzhi-zhu/diffpir"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":1,"ran_from_kinds":["listed","official"]}}},{"paper":"/paper/say-what-you-mean-large-language-models-speak","slug":"say-what-you-mean-large-language-models-speak","title":"Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge","date":"2023-05-10","arxiv_id":"2305.05976","n_code_links":1,"syntology":{"ran":4,"of":4,"n_ran_checked":2,"n_instrument":2,"unverified":0,"pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 1 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["jiangjiechen/uncommongen"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/xtab-cross-table-pretraining-for-tabular","slug":"xtab-cross-table-pretraining-for-tabular","title":"XTab: Cross-table Pretraining for Tabular Transformers","date":"2023-05-10","arxiv_id":"2305.06090","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["bingzhaozhu/xtab"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/non-autoregressive-math-word-problem-solver","slug":"non-autoregressive-math-word-problem-solver","title":"Non-Autoregressive Math Word Problem Solver with Unified Tree Structure","date":"2023-05-08","arxiv_id":"2305.04556","n_code_links":1,"syntology":{"ran":2,"of":3,"n_ran_checked":2,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"2 ran (of which 2 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified; every one of the 2 samples that ran constructed an object rather than computing a result","official":{"repos":["mengqunhan/mwp-nas"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":2,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/structure-clip-enhance-multi-modal-language","slug":"structure-clip-enhance-multi-modal-language","title":"Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-modal Structured Representations","date":"2023-05-06","arxiv_id":"2305.06152","n_code_links":3,"syntology":{"ran":7,"of":9,"n_ran_checked":7,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["zjukg/structure-clip"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"paper":"/paper/semantic-aware-generation-of-multi-view","slug":"semantic-aware-generation-of-multi-view","title":"Semantic-aware Generation of Multi-view Portrait Drawings","date":"2023-05-04","arxiv_id":"2305.02618","n_code_links":1,"syntology":{"ran":11,"of":13,"n_ran_checked":10,"n_instrument":1,"unverified":2,"pointer_only":13,"phrase":"11 ran (of which 9 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["aiart-hdu/sage"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":9,"n_ran_no_instrument_failure":10,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/pgrad-learning-principal-gradients-for-domain","slug":"pgrad-learning-principal-gradients-for-domain","title":"PGrad: Learning Principal Gradients For Domain Generalization","date":"2023-05-02","arxiv_id":"2305.01134","n_code_links":1,"syntology":{"ran":9,"of":13,"n_ran_checked":7,"n_instrument":2,"unverified":4,"pointer_only":0,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 2 where Syntology's instrument failed) · 4 unverified","official":{"repos":["qdata/pgrad"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/discover-and-cure-concept-aware-mitigation-of","slug":"discover-and-cure-concept-aware-mitigation-of","title":"Discover and Cure: Concept-aware Mitigation of Spurious Correlation","date":"2023-05-01","arxiv_id":"2305.00650","n_code_links":1,"syntology":{"ran":6,"of":8,"n_ran_checked":6,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"6 ran (of which 1 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["wuyxin/disc"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":1,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/csp-self-supervised-contrastive-spatial-pre","slug":"csp-self-supervised-contrastive-spatial-pre","title":"CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations","date":"2023-05-01","arxiv_id":"2305.01118","n_code_links":2,"syntology":{"ran":4,"of":5,"n_ran_checked":2,"n_instrument":2,"unverified":1,"pointer_only":5,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":"/paper/data-driven-subgroup-identification-for","slug":"data-driven-subgroup-identification-for","title":"Data-Driven Subgroup Identification for Linear Regression","date":"2023-04-29","arxiv_id":"2305.00195","n_code_links":1,"syntology":{"ran":7,"of":10,"n_ran_checked":5,"n_instrument":2,"unverified":3,"pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","official":{"repos":["zleizzo/ddgroup"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/modality-invariant-visual-odometry-for","slug":"modality-invariant-visual-odometry-for","title":"Modality-invariant Visual Odometry for Embodied Vision","date":"2023-04-29","arxiv_id":"2305.00348","n_code_links":1,"syntology":{"ran":8,"of":11,"n_ran_checked":8,"n_instrument":0,"unverified":3,"pointer_only":3,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 1 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","official":{"repos":["memmelma/vo-transformer"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/density-insensitive-unsupervised-domain","slug":"density-insensitive-unsupervised-domain","title":"Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection","date":"2023-04-19","arxiv_id":"2304.09446","n_code_links":1,"syntology":{"ran":4,"of":7,"n_ran_checked":4,"n_instrument":0,"unverified":3,"pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","official":{"repos":["woodwindhu/dts"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/leveraging-the-two-timescale-regime-to","slug":"leveraging-the-two-timescale-regime-to","title":"Leveraging the two timescale regime to demonstrate convergence of neural networks","date":"2023-04-19","arxiv_id":"2304.09576","n_code_links":1,"syntology":{"ran":3,"of":4,"n_ran_checked":3,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["PierreMarion23/two-timescale-nn"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/codekgc-code-language-model-for-generative","slug":"codekgc-code-language-model-for-generative","title":"CodeKGC: Code Language Model for Generative Knowledge Graph Construction","date":"2023-04-18","arxiv_id":"2304.09048","n_code_links":2,"syntology":{"ran":14,"of":16,"n_ran_checked":13,"n_instrument":1,"unverified":2,"pointer_only":1,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 13 with no instrument failure: 0 honoured, 0 violated, 13 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["zjunlp/deepke"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":13,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/masactrl-tuning-free-mutual-self-attention","slug":"masactrl-tuning-free-mutual-self-attention","title":"MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing","date":"2023-04-17","arxiv_id":"2304.08465","n_code_links":4,"syntology":{"ran":4,"of":7,"n_ran_checked":4,"n_instrument":0,"unverified":3,"pointer_only":1,"phrase":"4 ran (of which 4 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified; every one of the 4 samples that ran constructed an object rather than computing a result","official":{"repos":["tencentarc/masactrl"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["listed","official"]}}},{"paper":"/paper/an-equivariant-generative-framework-for","slug":"an-equivariant-generative-framework-for","title":"An Equivariant Generative Framework for Molecular Graph-Structure Co-Design","date":"2023-04-12","arxiv_id":"2304.12436","n_code_links":1,"syntology":{"ran":4,"of":6,"n_ran_checked":2,"n_instrument":2,"unverified":2,"pointer_only":5,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 2 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified","official":{"repos":["zaixizhang/molcode"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/can-large-language-models-transform","slug":"can-large-language-models-transform","title":"Can Large Language Models Transform Computational Social Science?","date":"2023-04-12","arxiv_id":"2305.03514","n_code_links":1,"syntology":{"ran":4,"of":4,"n_ran_checked":1,"n_instrument":3,"unverified":0,"pointer_only":4,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","official":{"repos":["salt-nlp/llms_for_css"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/on-evaluation-of-bangla-word-analogies","slug":"on-evaluation-of-bangla-word-analogies","title":"On Evaluation of Bangla Word Analogies","date":"2023-04-10","arxiv_id":"2304.04613","n_code_links":0,"syntology":{"ran":7,"of":11,"n_ran_checked":6,"n_instrument":1,"unverified":4,"pointer_only":11,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified","official":null}}],"record_sha256":"910350992f9247567b643f1fc3194239bc521e90ee7e5129d865d1fa4e7386c6","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}