{"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/2","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":2,"pages_in_order":2,"rows_per_page":100,"rows":[101,181],"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":"/method/fail/papers/ran/1","next":null,"papers":[{"paper":"/paper/a-cheaper-and-better-diffusion-language-model","slug":"a-cheaper-and-better-diffusion-language-model","title":"A Cheaper and Better Diffusion Language Model with Soft-Masked Noise","date":"2023-04-10","arxiv_id":"2304.04746","n_code_links":1,"syntology":{"ran":1,"of":2,"n_ran_checked":1,"n_instrument":0,"unverified":1,"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) · 1 unverified; the one sample that ran constructed an object rather than computing a result","official":{"repos":["amazon-science/masked-diffusion-lm"],"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/probing-conceptual-understanding-of-large","slug":"probing-conceptual-understanding-of-large","title":"Probing Conceptual Understanding of Large Visual-Language Models","date":"2023-04-07","arxiv_id":"2304.03659","n_code_links":1,"syntology":{"ran":2,"of":4,"n_ran_checked":0,"n_instrument":2,"unverified":2,"pointer_only":4,"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) · 2 unverified","official":{"repos":["Maddy12/UnderstandingVisualTextModels"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/biological-sequence-kernels-with-guaranteed","slug":"biological-sequence-kernels-with-guaranteed","title":"Biological Sequence Kernels with Guaranteed Flexibility","date":"2023-04-06","arxiv_id":"2304.03775","n_code_links":1,"syntology":{"ran":1,"of":2,"n_ran_checked":0,"n_instrument":1,"unverified":1,"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) · 1 unverified","official":{"repos":["alannawzadamin/kernels-with-guarantees"],"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/regionplc-regional-point-language-contrastive","slug":"regionplc-regional-point-language-contrastive","title":"RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding","date":"2023-04-03","arxiv_id":"2304.00962","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":3,"n_instrument":0,"unverified":0,"pointer_only":2,"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":["cvmi-lab/pla"],"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/lg-bpn-local-and-global-blind-patch-network","slug":"lg-bpn-local-and-global-blind-patch-network","title":"LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising","date":"2023-04-02","arxiv_id":"2304.00534","n_code_links":1,"syntology":{"ran":14,"of":20,"n_ran_checked":7,"n_instrument":7,"unverified":6,"pointer_only":20,"phrase":"14 ran (of which 6 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 7 where Syntology's instrument failed) · 6 unverified","official":{"repos":["wang-xiaodingdd/lgbpn"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":6,"n_ran_no_instrument_failure":7,"n_unverified":6,"ran_from_kinds":["official","unlocated"]}}},{"paper":"/paper/a-view-from-somewhere-human-centric-face","slug":"a-view-from-somewhere-human-centric-face","title":"A View From Somewhere: Human-Centric Face Representations","date":"2023-03-30","arxiv_id":"2303.17176","n_code_links":1,"syntology":{"ran":9,"of":13,"n_ran_checked":4,"n_instrument":5,"unverified":4,"pointer_only":3,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 1 violated, 3 with no contract checked; 5 where Syntology's instrument failed) · 4 unverified","official":{"repos":["sonyai/a_view_from_somewhere"],"state":"official: no sample here; runs from other or unrecorded repositories","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["found_in_text"]}}},{"paper":"/paper/when-to-pre-train-graph-neural-networks-an","slug":"when-to-pre-train-graph-neural-networks-an","title":"When to Pre-Train Graph Neural Networks? From Data Generation Perspective!","date":"2023-03-29","arxiv_id":"2303.16458","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":2,"n_instrument":1,"unverified":0,"pointer_only":3,"phrase":"3 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; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["caoyxuan/w2pgnn"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/viewrefer-grasp-the-multi-view-knowledge-for","slug":"viewrefer-grasp-the-multi-view-knowledge-for","title":"ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding with GPT and Prototype Guidance","date":"2023-03-29","arxiv_id":"2303.16894","n_code_links":7,"syntology":{"ran":8,"of":12,"n_ran_checked":6,"n_instrument":2,"unverified":4,"pointer_only":12,"phrase":"8 ran (of which 2 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 1 violated, 5 with no contract checked; 2 where Syntology's instrument failed) · 4 unverified","official":{"repos":["ivan-tang-3d/viewrefer3d","ziyuguo99/viewrefer3d"],"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/qeubo-a-decision-theoretic-acquisition","slug":"qeubo-a-decision-theoretic-acquisition","title":"qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization","date":"2023-03-28","arxiv_id":"2303.15746","n_code_links":1,"syntology":{"ran":4,"of":5,"n_ran_checked":4,"n_instrument":0,"unverified":1,"pointer_only":5,"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) · 1 unverified","official":{"repos":["facebookresearch/qeubo"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/nighttime-smartphone-reflective-flare-removal","slug":"nighttime-smartphone-reflective-flare-removal","title":"Nighttime Smartphone Reflective Flare Removal Using Optical Center Symmetry Prior","date":"2023-03-27","arxiv_id":"2303.15046","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 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) · 1 unverified","official":{"repos":["ykdai/BracketFlare"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/mdqe-mining-discriminative-query-embeddings","slug":"mdqe-mining-discriminative-query-embeddings","title":"MDQE: Mining Discriminative Query Embeddings to Segment Occluded Instances on Challenging Videos","date":"2023-03-25","arxiv_id":"2303.14395","n_code_links":1,"syntology":{"ran":3,"of":4,"n_ran_checked":2,"n_instrument":1,"unverified":1,"pointer_only":4,"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) · 1 unverified","official":{"repos":["minghanli/mdqe_cvpr2023"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":2,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/robust-test-time-adaptation-in-dynamic","slug":"robust-test-time-adaptation-in-dynamic","title":"Robust Test-Time Adaptation in Dynamic Scenarios","date":"2023-03-24","arxiv_id":"2303.13899","n_code_links":1,"syntology":{"ran":2,"of":5,"n_ran_checked":1,"n_instrument":1,"unverified":3,"pointer_only":0,"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) · 3 unverified","official":{"repos":["bit-da/rotta"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/tifa-accurate-and-interpretable-text-to-image","slug":"tifa-accurate-and-interpretable-text-to-image","title":"TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering","date":"2023-03-21","arxiv_id":"2303.11897","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":["Yushi-Hu/tifa"],"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/emotalk-speech-driven-emotional","slug":"emotalk-speech-driven-emotional","title":"EmoTalk: Speech-Driven Emotional Disentanglement for 3D Face Animation","date":"2023-03-20","arxiv_id":"2303.11089","n_code_links":2,"syntology":{"ran":5,"of":7,"n_ran_checked":4,"n_instrument":1,"unverified":2,"pointer_only":7,"phrase":"5 ran (of which 1 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 1 violated, 2 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["psyai-net/EmoTalk_release"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":1,"n_ran_no_instrument_failure":3,"n_unverified":2,"ran_from_kinds":["official","unlocated"]}}},{"paper":"/paper/attribute-preserving-face-dataset","slug":"attribute-preserving-face-dataset","title":"Attribute-preserving Face Dataset Anonymization via Latent Code Optimization","date":"2023-03-20","arxiv_id":"2303.11296","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":["chi0tzp/falco"],"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/effectively-modeling-time-series-with-simple","slug":"effectively-modeling-time-series-with-simple","title":"Effectively Modeling Time Series with Simple Discrete State Spaces","date":"2023-03-16","arxiv_id":"2303.09489","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":5,"n_instrument":0,"unverified":1,"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) · 1 unverified","official":{"repos":["hazyresearch/spacetime"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/spidermesh-spatial-aware-demand-guided","slug":"spidermesh-spatial-aware-demand-guided","title":"SpiderMesh: Spatial-aware Demand-guided Recursive Meshing for RGB-T Semantic Segmentation","date":"2023-03-15","arxiv_id":"2303.08692","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":["leofansq/spidermesh"],"state":"official: no sample here; runs from other or unrecorded repositories","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["unlocated"]}}},{"paper":"/paper/dinet-deformation-inpainting-network-for","slug":"dinet-deformation-inpainting-network-for","title":"DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video","date":"2023-03-07","arxiv_id":"2303.03988","n_code_links":1,"syntology":{"ran":2,"of":10,"n_ran_checked":1,"n_instrument":1,"unverified":8,"pointer_only":10,"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) · 8 unverified","official":{"repos":["MRzzm/DINet"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":8,"ran_from_kinds":["official"]}}},{"paper":"/paper/where-we-are-and-what-we-re-looking-at-query","slug":"where-we-are-and-what-we-re-looking-at-query","title":"Where We Are and What We're Looking At: Query Based Worldwide Image Geo-localization Using Hierarchies and Scenes","date":"2023-03-07","arxiv_id":"2303.04249","n_code_links":0,"syntology":{"ran":17,"of":23,"n_ran_checked":15,"n_instrument":2,"unverified":6,"pointer_only":23,"phrase":"17 ran (of which 11 constructed an object rather than computing a result; 15 with no instrument failure: 0 honoured, 0 violated, 15 with no contract checked; 2 where Syntology's instrument failed) · 6 unverified","official":null}},{"paper":"/paper/dynamic-prompting-a-unified-framework-for","slug":"dynamic-prompting-a-unified-framework-for","title":"Dynamic Prompting: A Unified Framework for Prompt Tuning","date":"2023-03-06","arxiv_id":"2303.02909","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":["xianjun-yang/dpt"],"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/neural-airport-ground-handling","slug":"neural-airport-ground-handling","title":"Neural Airport Ground Handling","date":"2023-03-04","arxiv_id":"2303.02442","n_code_links":1,"syntology":{"ran":2,"of":10,"n_ran_checked":2,"n_instrument":0,"unverified":8,"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) · 8 unverified","official":{"repos":["royalskye/agh"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":8,"ran_from_kinds":["official"]}}},{"paper":"/paper/diagnosing-model-performance-under","slug":"diagnosing-model-performance-under","title":"Diagnosing Model Performance Under Distribution Shift","date":"2023-03-03","arxiv_id":"2303.02011","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":["namkoong-lab/disde"],"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/preference-transformer-modeling-human","slug":"preference-transformer-modeling-human","title":"Preference Transformer: Modeling Human Preferences using Transformers for RL","date":"2023-03-02","arxiv_id":"2303.00957","n_code_links":1,"syntology":{"ran":7,"of":7,"n_ran_checked":7,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 1 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["csmile-1006/preferencetransformer"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/gnndelete-a-general-strategy-for-unlearning","slug":"gnndelete-a-general-strategy-for-unlearning","title":"GNNDelete: A General Strategy for Unlearning in Graph Neural Networks","date":"2023-02-26","arxiv_id":"2302.13406","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: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["mims-harvard/gnndelete"],"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/towards-stable-test-time-adaptation-in","slug":"towards-stable-test-time-adaptation-in","title":"Towards Stable Test-Time Adaptation in Dynamic Wild World","date":"2023-02-24","arxiv_id":"2302.12400","n_code_links":1,"syntology":{"ran":4,"of":5,"n_ran_checked":1,"n_instrument":3,"unverified":1,"pointer_only":0,"phrase":"4 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; 3 where Syntology's instrument failed) · 1 unverified","official":{"repos":["mr-eggplant/sar"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/hiding-data-helps-on-the-benefits-of-masking","slug":"hiding-data-helps-on-the-benefits-of-masking","title":"Hiding Data Helps: On the Benefits of Masking for Sparse Coding","date":"2023-02-24","arxiv_id":"2302.12715","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":0,"n_instrument":2,"unverified":0,"pointer_only":0,"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":["2014mchidamb/masked-sparse-coding-icml"],"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/ftm-a-frame-level-timeline-modeling-method","slug":"ftm-a-frame-level-timeline-modeling-method","title":"FTM: A Frame-level Timeline Modeling Method for Temporal Graph Representation Learning","date":"2023-02-23","arxiv_id":"2302.11814","n_code_links":1,"syntology":{"ran":4,"of":4,"n_ran_checked":4,"n_instrument":0,"unverified":0,"pointer_only":4,"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) · 0 unverified; every one of the 4 samples that ran constructed an object rather than computing a result","official":{"repos":["yeeeqichen/ftm"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":4,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/asset-robust-backdoor-data-detection-across-a","slug":"asset-robust-backdoor-data-detection-across-a","title":"ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms","date":"2023-02-22","arxiv_id":"2302.11408","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":1,"n_instrument":2,"unverified":0,"pointer_only":2,"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) · 0 unverified","official":{"repos":["ruoxi-jia-group/asset"],"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/reduce-reuse-recycle-compositional-generation","slug":"reduce-reuse-recycle-compositional-generation","title":"Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC","date":"2023-02-22","arxiv_id":"2302.11552","n_code_links":3,"syntology":{"ran":19,"of":24,"n_ran_checked":16,"n_instrument":3,"unverified":5,"pointer_only":0,"phrase":"19 ran (of which 1 constructed an object rather than computing a result; 16 with no instrument failure: 0 honoured, 0 violated, 16 with no contract checked; 3 where Syntology's instrument failed) · 5 unverified","official":{"repos":["yilundu/reduce_reuse_recycle"],"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":["listed","official"]}}},{"paper":"/paper/stochastic-generative-flow-networks","slug":"stochastic-generative-flow-networks","title":"Stochastic Generative Flow Networks","date":"2023-02-19","arxiv_id":"2302.09465","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":["ling-pan/stochastic-gfn"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["unlocated"]}}},{"paper":"/paper/federated-domain-adaptation-via-gradient","slug":"federated-domain-adaptation-via-gradient","title":"Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting","date":"2023-02-10","arxiv_id":"2302.05049","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":["jackyzyb/autofedgp"],"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/geometry-complete-diffusion-for-3d-molecule","slug":"geometry-complete-diffusion-for-3d-molecule","title":"Geometry-Complete Diffusion for 3D Molecule Generation and Optimization","date":"2023-02-08","arxiv_id":"2302.04313","n_code_links":3,"syntology":{"ran":7,"of":10,"n_ran_checked":7,"n_instrument":0,"unverified":3,"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) · 3 unverified","official":{"repos":["bioinfomachinelearning/bio-diffusion","bioinfomachinelearning/gcdm-sbdd"],"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/sampling-based-accuracy-testing-of-posterior","slug":"sampling-based-accuracy-testing-of-posterior","title":"Sampling-Based Accuracy Testing of Posterior Estimators for General Inference","date":"2023-02-06","arxiv_id":"2302.03026","n_code_links":2,"syntology":{"ran":4,"of":4,"n_ran_checked":0,"n_instrument":4,"unverified":0,"pointer_only":0,"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":["ciela-institute/tarp"],"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/real-time-evaluation-in-online-continual","slug":"real-time-evaluation-in-online-continual","title":"Real-Time Evaluation in Online Continual Learning: A New Hope","date":"2023-02-02","arxiv_id":"2302.01047","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":["yasir-ghunaim/realtimeocl"],"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/neuro-symbolic-continual-learning-knowledge","slug":"neuro-symbolic-continual-learning-knowledge","title":"Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal","date":"2023-02-02","arxiv_id":"2302.01242","n_code_links":1,"syntology":{"ran":3,"of":7,"n_ran_checked":2,"n_instrument":1,"unverified":4,"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) · 4 unverified","official":{"repos":["ema-marconato/nesy-cl"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":2,"n_ran_no_instrument_failure":2,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/attend-and-excite-attention-based-semantic","slug":"attend-and-excite-attention-based-semantic","title":"Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models","date":"2023-01-31","arxiv_id":"2301.13826","n_code_links":2,"syntology":{"ran":3,"of":7,"n_ran_checked":3,"n_instrument":0,"unverified":4,"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) · 4 unverified","official":{"repos":["AttendAndExcite/Attend-and-Excite"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/thoughtsource-a-central-hub-for-large","slug":"thoughtsource-a-central-hub-for-large","title":"ThoughtSource: A central hub for large language model reasoning data","date":"2023-01-27","arxiv_id":"2301.11596","n_code_links":1,"syntology":{"ran":2,"of":7,"n_ran_checked":2,"n_instrument":0,"unverified":5,"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) · 5 unverified","official":{"repos":["openbiolink/thoughtsource"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":"/paper/learning-the-effects-of-physical-actions-in-a","slug":"learning-the-effects-of-physical-actions-in-a","title":"Learning the Effects of Physical Actions in a Multi-modal Environment","date":"2023-01-27","arxiv_id":"2301.11845","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 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) · 2 unverified","official":{"repos":["gautierdag/piglet-vis"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/exploring-active-3d-object-detection-from-a","slug":"exploring-active-3d-object-detection-from-a","title":"Exploring Active 3D Object Detection from a Generalization Perspective","date":"2023-01-23","arxiv_id":"2301.09249","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":["luoyadan/crb-active-3ddet"],"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/heterogeneous-multi-robot-reinforcement","slug":"heterogeneous-multi-robot-reinforcement","title":"Heterogeneous Multi-Robot Reinforcement Learning","date":"2023-01-17","arxiv_id":"2301.07137","n_code_links":2,"syntology":{"ran":5,"of":5,"n_ran_checked":3,"n_instrument":2,"unverified":0,"pointer_only":5,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 3 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["proroklab/hetgppo","proroklab/vectorizedmultiagentsimulator"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/ncp-neural-correspondence-prior-for-effective","slug":"ncp-neural-correspondence-prior-for-effective","title":"NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching","date":"2023-01-14","arxiv_id":"2301.05839","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":2,"n_instrument":0,"unverified":0,"pointer_only":2,"phrase":"2 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; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["pvnieo/ncp"],"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/hyperreel-high-fidelity-6-dof-video-with-ray","slug":"hyperreel-high-fidelity-6-dof-video-with-ray","title":"HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling","date":"2023-01-05","arxiv_id":"2301.02238","n_code_links":1,"syntology":{"ran":7,"of":11,"n_ran_checked":2,"n_instrument":5,"unverified":4,"pointer_only":0,"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) · 4 unverified","official":{"repos":["facebookresearch/hyperreel"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/robust-dynamic-radiance-fields","slug":"robust-dynamic-radiance-fields","title":"Robust Dynamic Radiance Fields","date":"2023-01-05","arxiv_id":"2301.02239","n_code_links":1,"syntology":{"ran":5,"of":11,"n_ran_checked":4,"n_instrument":1,"unverified":6,"pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 6 unverified","official":{"repos":["facebookresearch/robust-dynrf"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":6,"ran_from_kinds":["official"]}}},{"paper":"/paper/unsupervised-representation-learning-from-pre","slug":"unsupervised-representation-learning-from-pre","title":"Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models","date":"2022-12-26","arxiv_id":"2212.12990","n_code_links":3,"syntology":{"ran":5,"of":14,"n_ran_checked":4,"n_instrument":1,"unverified":9,"pointer_only":14,"phrase":"5 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; 1 where Syntology's instrument failed) · 9 unverified","official":{"repos":["ckczzj/pdae"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":2,"n_ran_no_instrument_failure":3,"n_unverified":6,"ran_from_kinds":["listed","official"]}}},{"paper":"/paper/impossibility-theorems-for-feature","slug":"impossibility-theorems-for-feature","title":"Impossibility Theorems for Feature Attribution","date":"2022-12-22","arxiv_id":"2212.11870","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":["google-research/interpretability-theory"],"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/asynchronous-distributed-bilevel-optimization","slug":"asynchronous-distributed-bilevel-optimization","title":"Asynchronous Distributed Bilevel Optimization","date":"2022-12-20","arxiv_id":"2212.10048","n_code_links":1,"syntology":{"ran":1,"of":3,"n_ran_checked":0,"n_instrument":1,"unverified":2,"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) · 2 unverified","official":{"repos":["iclr23submission6251/adbo"],"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/human-guided-fair-classification-for-natural","slug":"human-guided-fair-classification-for-natural","title":"Human-Guided Fair Classification for Natural Language Processing","date":"2022-12-20","arxiv_id":"2212.10154","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 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":["eth-sri/fairness-feedback-nlp"],"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/mm-shap-a-performance-agnostic-metric-for","slug":"mm-shap-a-performance-agnostic-metric-for","title":"MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks","date":"2022-12-15","arxiv_id":"2212.08158","n_code_links":1,"syntology":{"ran":5,"of":10,"n_ran_checked":5,"n_instrument":0,"unverified":5,"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) · 5 unverified","official":{"repos":["heidelberg-nlp/mm-shap"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":"/paper/robust-policy-optimization-in-deep","slug":"robust-policy-optimization-in-deep","title":"Robust Policy Optimization in Deep Reinforcement Learning","date":"2022-12-14","arxiv_id":"2212.07536","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":["vwxyzjn/cleanrl"],"state":"official: no sample here; runs from other or unrecorded repositories","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["unlocated"]}}},{"paper":"/paper/promptcal-contrastive-affinity-learning-via","slug":"promptcal-contrastive-affinity-learning-via","title":"PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery","date":"2022-12-11","arxiv_id":"2212.05590","n_code_links":1,"syntology":{"ran":2,"of":7,"n_ran_checked":1,"n_instrument":1,"unverified":5,"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) · 5 unverified","official":{"repos":["sheng-eatamath/promptcal"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":"/paper/spurious-features-everywhere-large-scale","slug":"spurious-features-everywhere-large-scale","title":"Spurious Features Everywhere -- Large-Scale Detection of Harmful Spurious Features in ImageNet","date":"2022-12-09","arxiv_id":"2212.04871","n_code_links":1,"syntology":{"ran":8,"of":9,"n_ran_checked":8,"n_instrument":0,"unverified":1,"pointer_only":0,"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":["yanneu/spurious_imagenet"],"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/zegclip-towards-adapting-clip-for-zero-shot","slug":"zegclip-towards-adapting-clip-for-zero-shot","title":"ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation","date":"2022-12-07","arxiv_id":"2212.03588","n_code_links":1,"syntology":{"ran":9,"of":9,"n_ran_checked":6,"n_instrument":3,"unverified":0,"pointer_only":3,"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) · 0 unverified","official":{"repos":["ZiqinZhou66/ZegCLIP"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/expressive-architectures-enhance","slug":"expressive-architectures-enhance","title":"Expressive architectures enhance interpretability of dynamics-based neural population models","date":"2022-12-07","arxiv_id":"2212.03771","n_code_links":1,"syntology":{"ran":7,"of":8,"n_ran_checked":7,"n_instrument":0,"unverified":1,"pointer_only":2,"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) · 1 unverified","official":{"repos":["snel-repo/expressive-latent-dynamics-paper"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/adaptive-testing-of-computer-vision-models","slug":"adaptive-testing-of-computer-vision-models","title":"Adaptive Testing of Computer Vision Models","date":"2022-12-06","arxiv_id":"2212.02774","n_code_links":1,"syntology":{"ran":4,"of":6,"n_ran_checked":4,"n_instrument":0,"unverified":2,"pointer_only":6,"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) · 2 unverified","official":{"repos":["i-gao/adavision"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/graphgdp-generative-diffusion-processes-for","slug":"graphgdp-generative-diffusion-processes-for","title":"GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation","date":"2022-12-04","arxiv_id":"2212.01842","n_code_links":1,"syntology":{"ran":11,"of":14,"n_ran_checked":7,"n_instrument":4,"unverified":3,"pointer_only":3,"phrase":"11 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; 4 where Syntology's instrument failed) · 3 unverified","official":{"repos":["graph-0/graphgdp"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/bayesian-physics-informed-neural-networks-for-2","slug":"bayesian-physics-informed-neural-networks-for-2","title":"Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires","date":"2022-12-02","arxiv_id":"2212.00970","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 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":["jjdabr/BPINN-Wildfire"],"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/improved-representation-of-asymmetrical","slug":"improved-representation-of-asymmetrical","title":"Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings","date":"2022-11-28","arxiv_id":"2211.15120","n_code_links":1,"syntology":{"ran":1,"of":2,"n_ran_checked":0,"n_instrument":1,"unverified":1,"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) · 1 unverified","official":{"repos":["quasimetric-learning/torch-quasimetric"],"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/spatial-mixture-of-experts","slug":"spatial-mixture-of-experts","title":"Spatial Mixture-of-Experts","date":"2022-11-24","arxiv_id":"2211.13491","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":2,"n_instrument":3,"unverified":1,"pointer_only":0,"phrase":"5 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; 3 where Syntology's instrument failed) · 1 unverified","official":{"repos":["spcl/smoe"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":2,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/scirepeval-a-multi-format-benchmark-for","slug":"scirepeval-a-multi-format-benchmark-for","title":"SciRepEval: A Multi-Format Benchmark for Scientific Document Representations","date":"2022-11-23","arxiv_id":"2211.13308","n_code_links":2,"syntology":{"ran":3,"of":5,"n_ran_checked":3,"n_instrument":0,"unverified":2,"pointer_only":1,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 1 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["allenai/scirepeval","allenai/specter2"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/joint-embedding-predictive-architectures","slug":"joint-embedding-predictive-architectures","title":"Joint Embedding Predictive Architectures Focus on Slow Features","date":"2022-11-20","arxiv_id":"2211.10831","n_code_links":1,"syntology":{"ran":14,"of":16,"n_ran_checked":11,"n_instrument":3,"unverified":2,"pointer_only":1,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 1 violated, 10 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified","official":{"repos":["vladisai/jepa_ssl_neurips_2022"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/dynibar-neural-dynamic-image-based-rendering","slug":"dynibar-neural-dynamic-image-based-rendering","title":"DynIBaR: Neural Dynamic Image-Based Rendering","date":"2022-11-20","arxiv_id":"2211.11082","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":0,"n_instrument":2,"unverified":0,"pointer_only":0,"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":["google/dynibar"],"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/rl-boltzmann-generators-for-conformer","slug":"rl-boltzmann-generators-for-conformer","title":"RL Boltzmann Generators for Conformer Generation in Data-Sparse Environments","date":"2022-11-19","arxiv_id":"2211.10771","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 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) · 2 unverified; the one sample that ran constructed an object rather than computing a result","official":{"repos":["yashpatel5400/clean_idp_rl"],"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":["official"]}}},{"paper":"/paper/model-based-causal-bayesian-optimization","slug":"model-based-causal-bayesian-optimization","title":"Model-based Causal Bayesian Optimization","date":"2022-11-18","arxiv_id":"2211.10257","n_code_links":1,"syntology":{"ran":1,"of":2,"n_ran_checked":0,"n_instrument":1,"unverified":1,"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) · 1 unverified","official":{"repos":["ssethz/mcbo"],"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/capenrich-enriching-caption-semantics-for-web","slug":"capenrich-enriching-caption-semantics-for-web","title":"CapEnrich: Enriching Caption Semantics for Web Images via Cross-modal Pre-trained Knowledge","date":"2022-11-17","arxiv_id":"2211.09371","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":1,"n_instrument":1,"unverified":0,"pointer_only":2,"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":["yaolinli/capenrich"],"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","unlocated"]}}},{"paper":"/paper/robust-vocal-quality-feature-embeddings-for","slug":"robust-vocal-quality-feature-embeddings-for","title":"Robust Vocal Quality Feature Embeddings for Dysphonic Voice Detection","date":"2022-11-17","arxiv_id":"2211.09858","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":0,"n_instrument":3,"unverified":0,"pointer_only":0,"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":["vigor-jzhang/dysphonic-emb"],"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/mechanistic-mode-connectivity","slug":"mechanistic-mode-connectivity","title":"Mechanistic Mode Connectivity","date":"2022-11-15","arxiv_id":"2211.08422","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: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["ekdeepslubana/mmc"],"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/improving-factual-consistency-in","slug":"improving-factual-consistency-in","title":"Improving Factual Consistency in Summarization with Compression-Based Post-Editing","date":"2022-11-11","arxiv_id":"2211.06196","n_code_links":1,"syntology":{"ran":1,"of":2,"n_ran_checked":1,"n_instrument":0,"unverified":1,"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) · 1 unverified","official":{"repos":["salesforce/compedit"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/events-realm-event-reasoning-of-entity-states","slug":"events-realm-event-reasoning-of-entity-states","title":"EvEntS ReaLM: Event Reasoning of Entity States via Language Models","date":"2022-11-10","arxiv_id":"2211.05392","n_code_links":0,"syntology":{"ran":13,"of":16,"n_ran_checked":13,"n_instrument":0,"unverified":3,"pointer_only":9,"phrase":"13 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; 0 where Syntology's instrument failed) · 3 unverified","official":null}},{"paper":"/paper/unbiased-supervised-contrastive-learning","slug":"unbiased-supervised-contrastive-learning","title":"Unbiased Supervised Contrastive Learning","date":"2022-11-10","arxiv_id":"2211.05568","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":["eidoslab/unbiased-contrastive-learning"],"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/why-is-winoground-hard-investigating-failures","slug":"why-is-winoground-hard-investigating-failures","title":"Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality","date":"2022-11-01","arxiv_id":"2211.00768","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":["ajd12342/why-winoground-hard"],"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/a-close-look-into-the-calibration-of-pre","slug":"a-close-look-into-the-calibration-of-pre","title":"A Close Look into the Calibration of Pre-trained Language Models","date":"2022-10-31","arxiv_id":"2211.00151","n_code_links":2,"syntology":{"ran":3,"of":8,"n_ran_checked":1,"n_instrument":2,"unverified":5,"pointer_only":0,"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) · 5 unverified","official":{"repos":["lifan-yuan/plmcalibration"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["listed","official"]}}},{"paper":"/paper/agent-controller-representations-principled","slug":"agent-controller-representations-principled","title":"Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information","date":"2022-10-31","arxiv_id":"2211.00164","n_code_links":2,"syntology":{"ran":6,"of":7,"n_ran_checked":6,"n_instrument":0,"unverified":1,"pointer_only":7,"phrase":"6 ran (of which 6 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; every one of the 6 samples that ran constructed an object rather than computing a result","official":{"repos":["manantomar/agent-centric-representations"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":6,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/few-shot-image-generation-via-adaptation","slug":"few-shot-image-generation-via-adaptation","title":"Few-shot Image Generation via Adaptation-Aware Kernel Modulation","date":"2022-10-29","arxiv_id":"2210.16559","n_code_links":2,"syntology":{"ran":17,"of":23,"n_ran_checked":14,"n_instrument":3,"unverified":6,"pointer_only":4,"phrase":"17 ran (of which 0 constructed an object rather than computing a result; 14 with no instrument failure: 0 honoured, 1 violated, 13 with no contract checked; 3 where Syntology's instrument failed) · 6 unverified","official":{"repos":["yunqing-me/AdAM"],"state":"official (archive's flag): 17 ran","n_ran":17,"n_constructed":0,"n_ran_no_instrument_failure":14,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":"/paper/bayesian-model-selection-of-lithium-ion","slug":"bayesian-model-selection-of-lithium-ion","title":"Bayesian Model Selection of Lithium-Ion Battery Models via Bayesian Quadrature","date":"2022-10-28","arxiv_id":"2210.17299","n_code_links":1,"syntology":{"ran":5,"of":8,"n_ran_checked":5,"n_instrument":0,"unverified":3,"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) · 3 unverified","official":{"repos":["Battery-Intelligence-Lab/BayesianModelSelection"],"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/rethinking-the-reverse-engineering-of-trojan","slug":"rethinking-the-reverse-engineering-of-trojan","title":"Rethinking the Reverse-engineering of Trojan Triggers","date":"2022-10-27","arxiv_id":"2210.15127","n_code_links":1,"syntology":{"ran":3,"of":5,"n_ran_checked":2,"n_instrument":1,"unverified":2,"pointer_only":1,"phrase":"3 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; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["ru-system-software-and-security/featurere"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/benchmarking-language-models-for-code-syntax","slug":"benchmarking-language-models-for-code-syntax","title":"Benchmarking Language Models for Code Syntax Understanding","date":"2022-10-26","arxiv_id":"2210.14473","n_code_links":1,"syntology":{"ran":3,"of":6,"n_ran_checked":3,"n_instrument":0,"unverified":3,"pointer_only":1,"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) · 3 unverified","official":{"repos":["dashends/codesyntax"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/large-language-models-are-not-zero-shot","slug":"large-language-models-are-not-zero-shot","title":"The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs","date":"2022-10-26","arxiv_id":"2210.14986","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":["lauraruis/do-pigs-fly"],"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/supr-a-sparse-unified-part-based-human","slug":"supr-a-sparse-unified-part-based-human","title":"SUPR: A Sparse Unified Part-Based Human Representation","date":"2022-10-25","arxiv_id":"2210.13861","n_code_links":1,"syntology":{"ran":5,"of":8,"n_ran_checked":0,"n_instrument":5,"unverified":3,"pointer_only":8,"phrase":"5 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; 5 where Syntology's instrument failed) · 3 unverified","official":{"repos":["ahmedosman/SUPR"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/missing-counter-evidence-renders-nlp-fact","slug":"missing-counter-evidence-renders-nlp-fact","title":"Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation","date":"2022-10-25","arxiv_id":"2210.13865","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: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["ukplab/emnlp2022-missing-counter-evidence"],"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/towards-out-of-distribution-sequential-event","slug":"towards-out-of-distribution-sequential-event","title":"Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment","date":"2022-10-24","arxiv_id":"2210.13005","n_code_links":1,"syntology":{"ran":2,"of":4,"n_ran_checked":0,"n_instrument":2,"unverified":2,"pointer_only":4,"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) · 2 unverified","official":{"repos":["chr26195/caseq"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/r-2-f-a-general-retrieval-reading-and-fusion","slug":"r-2-f-a-general-retrieval-reading-and-fusion","title":"R$^2$F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference","date":"2022-10-22","arxiv_id":"2210.12328","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":["phoenixsecularbird/r2f"],"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"]}}}],"record_sha256":"c943630550fec592b9463bc986008c09d0cc7660b7cec335efa32f86da5f0c2c","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}