{"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":"/task/classification-1/papers/16","list_of":"/task/classification-1","task":"Classification","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":16,"pages_in_order":129,"rows_per_page":100,"rows":[1501,1600],"of":12815,"counts":{"archive_papers_tagged":12815,"with_a_code_link":3778,"where_syntology_ran_a_sample":582,"not_listed_spam_title":0,"listed":12815,"listed_where_code_ran":582,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":457,"every_run_a_failure_of_syntologys_instrument":125,"listed_with_a_run_with_no_instrument_failure":457,"listed_every_run_a_failure_of_syntologys_instrument":125,"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":"/task/classification-1","prev":"/task/classification-1/papers/15","next":"/task/classification-1/papers/17","papers":[{"url":"/paper/inspecting-class-hierarchies-in","slug":"inspecting-class-hierarchies-in","title":"Inspecting class hierarchies in classification-based metric learning models","date":"2023-01-26","arxiv_id":"2301.11065","repositories_listed":1,"syntology":null},{"url":"/paper/universal-domain-adaptation-for-remote","slug":"universal-domain-adaptation-for-remote","title":"Universal Domain Adaptation for Remote Sensing Image Scene Classification","date":"2023-01-26","arxiv_id":"2301.11387","repositories_listed":1,"syntology":null},{"url":"/paper/efficient-learning-of-large-sets-of-locally","slug":"efficient-learning-of-large-sets-of-locally","title":"Efficient learning of large sets of locally optimal classification rules","date":"2023-01-24","arxiv_id":"2301.09936","repositories_listed":1,"syntology":null},{"url":"/paper/local-window-attention-transformer-for","slug":"local-window-attention-transformer-for","title":"Local Window Attention Transformer for Polarimetric SAR Image Classification","date":"2023-01-23","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/improving-deep-regression-with-ordinal","slug":"improving-deep-regression-with-ordinal","title":"Improving Deep Regression with Ordinal Entropy","date":"2023-01-21","arxiv_id":"2301.08915","repositories_listed":1,"syntology":{"n":5,"n_ran":4,"n_constructed":0,"n_ran_checked":1,"n_instrument":3,"n_unverified":1,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":5,"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) · 1 unverified","sample_list":"/paper/improving-deep-regression-with-ordinal#ran","syntology_url":"https://syntology.ai/paper/2301.08915","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2301.08915"}},"official":{"repos":["needylove/ordinalentropy"],"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":["official","unlocated"]}}},{"url":"/paper/attention2minority-a-salient-instance","slug":"attention2minority-a-salient-instance","title":"Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images","date":"2023-01-18","arxiv_id":"2301.07700","repositories_listed":1,"syntology":null},{"url":"/paper/classbases-at-case-2022-multilingual-protest","slug":"classbases-at-case-2022-multilingual-protest","title":"ClassBases at CASE-2022 Multilingual Protest Event Detection Tasks: Multilingual Protest News Detection and Automatically Replicating Manually Created Event Datasets","date":"2023-01-16","arxiv_id":"2301.06617","repositories_listed":1,"syntology":null},{"url":"/paper/multimodal-side-tuning-for-document","slug":"multimodal-side-tuning-for-document","title":"Multimodal Side-Tuning for Document Classification","date":"2023-01-16","arxiv_id":"2301.07502","repositories_listed":1,"syntology":null},{"url":"/paper/online-class-incremental-learning-for-real","slug":"online-class-incremental-learning-for-real","title":"Online Class-Incremental Learning For Real-World Food Image Classification","date":"2023-01-12","arxiv_id":"2301.05246","repositories_listed":1,"syntology":null},{"url":"/paper/sharpening-ponzi-schemes-detection-on","slug":"sharpening-ponzi-schemes-detection-on","title":"Explainable Ponzi Schemes Detection on Ethereum","date":"2023-01-12","arxiv_id":"2301.04872","repositories_listed":1,"syntology":null},{"url":"/paper/rethinking-voxelization-and-classification","slug":"rethinking-voxelization-and-classification","title":"Rethinking Voxelization and Classification for 3D Object Detection","date":"2023-01-10","arxiv_id":"2301.04058","repositories_listed":1,"syntology":null},{"url":"/paper/nearest-neighbor-based-contrastive-learning","slug":"nearest-neighbor-based-contrastive-learning","title":"Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification","date":"2023-01-09","arxiv_id":"2301.03335","repositories_listed":1,"syntology":null},{"url":"/paper/few-shot-node-classification-with-extremely","slug":"few-shot-node-classification-with-extremely","title":"Few-shot Node Classification with Extremely Weak Supervision","date":"2023-01-06","arxiv_id":"2301.02708","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":2,"n_instrument":1,"n_unverified":0,"n_honours":1,"n_violates":1,"n_no_contract":0,"n_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","sample_list":"/paper/few-shot-node-classification-with-extremely#ran","syntology_url":"https://syntology.ai/paper/2301.02708","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2301.02708"}},"official":{"repos":["songw-sw/x-fnc"],"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","unlocated"]}}},{"url":"/paper/tackling-data-bias-in-painting-classification","slug":"tackling-data-bias-in-painting-classification","title":"Tackling Data Bias in Painting Classification with Style Transfer","date":"2023-01-06","arxiv_id":"2301.02524","repositories_listed":1,"syntology":null},{"url":"/paper/mobyv2al-self-supervised-active-learning-for","slug":"mobyv2al-self-supervised-active-learning-for","title":"MoBYv2AL: Self-supervised Active Learning for Image Classification","date":"2023-01-04","arxiv_id":"2301.01531","repositories_listed":1,"syntology":null},{"url":"/paper/recursive-classification-of-satellite-imaging","slug":"recursive-classification-of-satellite-imaging","title":"Recursive classification of satellite imaging time-series: An application to land cover mapping","date":"2023-01-04","arxiv_id":"2301.01796","repositories_listed":1,"syntology":null},{"url":"/paper/correlation-loss-enforcing-correlation","slug":"correlation-loss-enforcing-correlation","title":"Correlation Loss: Enforcing Correlation between Classification and Localization","date":"2023-01-03","arxiv_id":"2301.01019","repositories_listed":1,"syntology":null},{"url":"/paper/p3dc-shot-prior-driven-discrete-data","slug":"p3dc-shot-prior-driven-discrete-data","title":"P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification","date":"2023-01-02","arxiv_id":"2301.00740","repositories_listed":1,"syntology":null},{"url":"/paper/a-new-dataset-based-on-images-taken-by-blind","slug":"a-new-dataset-based-on-images-taken-by-blind","title":"A New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet Categories","date":"2023-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/backprop-induced-feature-weighting-for","slug":"backprop-induced-feature-weighting-for","title":"Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution Alignment","date":"2023-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/gram-based-attentive-neural-ordinary","slug":"gram-based-attentive-neural-ordinary","title":"Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification","date":"2023-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/holistic-label-correction-for-noisy-multi","slug":"holistic-label-correction-for-noisy-multi","title":"Holistic Label Correction for Noisy Multi-Label Classification","date":"2023-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/improved-training-for-3d-point-cloud","slug":"improved-training-for-3d-point-cloud","title":"Improved Training for 3D Point Cloud Classification","date":"2023-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/interactive-segmentation-as-gaussion-process","slug":"interactive-segmentation-as-gaussion-process","title":"Interactive Segmentation As Gaussion Process Classification","date":"2023-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/two-way-multi-label-loss","slug":"two-way-multi-label-loss","title":"Two-Way Multi-Label Loss","date":"2023-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/chest-x-ray-images-classification-with-cnn","slug":"chest-x-ray-images-classification-with-cnn","title":"Chest X-Ray Images Classification with CNN","date":"2022-12-31","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/shape-aware-fine-grained-classification-of","slug":"shape-aware-fine-grained-classification-of","title":"Shape-Aware Fine-Grained Classification of Erythroid Cells","date":"2022-12-28","arxiv_id":"2212.13695","repositories_listed":1,"syntology":null},{"url":"/paper/lmfloss-a-hybrid-loss-for-imbalanced-medical","slug":"lmfloss-a-hybrid-loss-for-imbalanced-medical","title":"LMFLOSS: A Hybrid Loss For Imbalanced Medical Image Classification","date":"2022-12-24","arxiv_id":"2212.12741","repositories_listed":1,"syntology":null},{"url":"/paper/image-classification-with-small-datasets-1","slug":"image-classification-with-small-datasets-1","title":"Image Classification with Small Datasets: Overview and Benchmark","date":"2022-12-23","arxiv_id":"2212.12478","repositories_listed":1,"syntology":null},{"url":"/paper/the-choice-of-scaling-technique-matters-for","slug":"the-choice-of-scaling-technique-matters-for","title":"The choice of scaling technique matters for classification performance","date":"2022-12-23","arxiv_id":"2212.12343","repositories_listed":1,"syntology":null},{"url":"/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","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_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","sample_list":"/paper/human-guided-fair-classification-for-natural#ran","syntology_url":"https://syntology.ai/paper/2212.10154","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2212.10154"}},"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"]}}},{"url":"/paper/masked-event-modeling-self-supervised","slug":"masked-event-modeling-self-supervised","title":"Masked Event Modeling: Self-Supervised Pretraining for Event Cameras","date":"2022-12-20","arxiv_id":"2212.10368","repositories_listed":1,"syntology":{"n":18,"n_ran":12,"n_constructed":0,"n_ran_checked":11,"n_instrument":1,"n_unverified":6,"n_honours":1,"n_violates":2,"n_no_contract":8,"n_pointer_only":10,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 1 honoured, 2 violated, 8 with no contract checked; 1 where Syntology's instrument failed) · 6 unverified","sample_list":"/paper/masked-event-modeling-self-supervised#ran","syntology_url":"https://syntology.ai/paper/2212.10368","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2212.10368"}},"official":{"repos":["tum-vision/mem"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":6,"ran_from_kinds":["official"]}}},{"url":"/paper/nonparametric-plug-in-classifier-for","slug":"nonparametric-plug-in-classifier-for","title":"Nonparametric plug-in classifier for multiclass classification of S.D.E. paths","date":"2022-12-20","arxiv_id":"2212.10259","repositories_listed":1,"syntology":null},{"url":"/paper/anticancer-peptides-classification-using","slug":"anticancer-peptides-classification-using","title":"Anticancer Peptides Classification using Kernel Sparse Representation Classifier","date":"2022-12-19","arxiv_id":"2212.10567","repositories_listed":1,"syntology":null},{"url":"/paper/deep-neural-networks-integrating-genomics-and","slug":"deep-neural-networks-integrating-genomics-and","title":"Deep Neural Networks integrating genomics and histopathological images for predicting stages and survival time-to-event in colon cancer","date":"2022-12-13","arxiv_id":"2212.06834","repositories_listed":1,"syntology":null},{"url":"/paper/classifying-the-ideological-orientation-of","slug":"classifying-the-ideological-orientation-of","title":"Classifying the Ideological Orientation of User-Submitted Texts in Social Media","date":"2022-12-12","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/fastclass-a-time-efficient-approach-to-weakly","slug":"fastclass-a-time-efficient-approach-to-weakly","title":"FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification","date":"2022-12-11","arxiv_id":"2212.05506","repositories_listed":1,"syntology":null},{"url":"/paper/transductive-linear-probing-a-novel-framework","slug":"transductive-linear-probing-a-novel-framework","title":"Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification","date":"2022-12-11","arxiv_id":"2212.05606","repositories_listed":1,"syntology":null},{"url":"/paper/ulip-learning-unified-representation-of","slug":"ulip-learning-unified-representation-of","title":"ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding","date":"2022-12-10","arxiv_id":"2212.05171","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_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","sample_list":"/paper/ulip-learning-unified-representation-of#ran","syntology_url":"https://syntology.ai/paper/2212.05171","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2212.05171"}},"official":{"repos":["salesforce/ulip"],"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"]}}},{"url":"/paper/augnet-dynamic-test-time-augmentation-via","slug":"augnet-dynamic-test-time-augmentation-via","title":"Dynamic Test-Time Augmentation via Differentiable Functions","date":"2022-12-09","arxiv_id":"2212.04681","repositories_listed":1,"syntology":null},{"url":"/paper/benchmarking-self-supervised-learning-on","slug":"benchmarking-self-supervised-learning-on","title":"Benchmarking Self-Supervised Learning on Diverse Pathology Datasets","date":"2022-12-09","arxiv_id":"2212.04690","repositories_listed":1,"syntology":null},{"url":"/paper/from-clozing-to-comprehending-retrofitting","slug":"from-clozing-to-comprehending-retrofitting","title":"From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Model to Pre-trained Machine Reader","date":"2022-12-09","arxiv_id":"2212.04755","repositories_listed":1,"syntology":{"n":4,"n_ran":3,"n_constructed":2,"n_ran_checked":3,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":4,"phrase":"3 ran (of which 2 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","sample_list":"/paper/from-clozing-to-comprehending-retrofitting#ran","syntology_url":"https://syntology.ai/paper/2212.04755","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2212.04755"}},"official":{"repos":["damo-nlp-sg/pmr"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":2,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/local-neighborhood-features-for-3d-1","slug":"local-neighborhood-features-for-3d-1","title":"Local Neighborhood Features for 3D Classification","date":"2022-12-09","arxiv_id":"2212.05140","repositories_listed":1,"syntology":null},{"url":"/paper/rlsep-learning-label-ranks-for-multi-label","slug":"rlsep-learning-label-ranks-for-multi-label","title":"RLSEP: Learning Label Ranks for Multi-label Classification","date":"2022-12-08","arxiv_id":"2212.04022","repositories_listed":1,"syntology":null},{"url":"/paper/leveraging-structure-for-improved","slug":"leveraging-structure-for-improved","title":"Leveraging Structure for Improved Classification of Grouped Biased Data","date":"2022-12-07","arxiv_id":"2212.03697","repositories_listed":1,"syntology":null},{"url":"/paper/query-your-model-with-definitions-in-framenet","slug":"query-your-model-with-definitions-in-framenet","title":"Query Your Model with Definitions in FrameNet: An Effective Method for Frame Semantic Role Labeling","date":"2022-12-05","arxiv_id":"2212.02036","repositories_listed":1,"syntology":null},{"url":"/paper/yolood-utilizing-object-detection-concepts","slug":"yolood-utilizing-object-detection-concepts","title":"YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection","date":"2022-12-05","arxiv_id":"2212.02081","repositories_listed":1,"syntology":null},{"url":"/paper/culturebert-fine-tuning-transformer-based","slug":"culturebert-fine-tuning-transformer-based","title":"CultureBERT: Measuring Corporate Culture With Transformer-Based Language Models","date":"2022-12-01","arxiv_id":"2212.00509","repositories_listed":1,"syntology":null},{"url":"/paper/aio-p-expanding-neural-performance-predictors","slug":"aio-p-expanding-neural-performance-predictors","title":"AIO-P: Expanding Neural Performance Predictors Beyond Image Classification","date":"2022-11-30","arxiv_id":"2211.17228","repositories_listed":1,"syntology":null},{"url":"/paper/raft-rationale-adaptor-for-few-shot-abusive","slug":"raft-rationale-adaptor-for-few-shot-abusive","title":"Rationale-Guided Few-Shot Classification to Detect Abusive Language","date":"2022-11-30","arxiv_id":"2211.17046","repositories_listed":1,"syntology":{"n":4,"n_ran":3,"n_constructed":0,"n_ran_checked":1,"n_instrument":2,"n_unverified":1,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"3 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; 2 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/raft-rationale-adaptor-for-few-shot-abusive#ran","syntology_url":"https://syntology.ai/paper/2211.17046","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2211.17046"}},"official":{"repos":["punyajoy/rgfs_ecai"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/transformers-are-short-text-classifiers-a","slug":"transformers-are-short-text-classifiers-a","title":"Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets","date":"2022-11-30","arxiv_id":"2211.16878","repositories_listed":1,"syntology":null},{"url":"/paper/multi-label-chest-x-ray-classification-via","slug":"multi-label-chest-x-ray-classification-via","title":"Multi-Label Chest X-Ray Classification via Deep Learning","date":"2022-11-27","arxiv_id":"2211.14929","repositories_listed":1,"syntology":null},{"url":"/paper/distribution-free-prediction-sets-for-node","slug":"distribution-free-prediction-sets-for-node","title":"Distribution Free Prediction Sets for Node Classification","date":"2022-11-26","arxiv_id":"2211.14555","repositories_listed":1,"syntology":null},{"url":"/paper/pixels-together-strong-segmenting-unknown","slug":"pixels-together-strong-segmenting-unknown","title":"RbA: Segmenting Unknown Regions Rejected by All","date":"2022-11-25","arxiv_id":"2211.14293","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_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","sample_list":"/paper/pixels-together-strong-segmenting-unknown#ran","syntology_url":"https://syntology.ai/paper/2211.14293","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2211.14293"}},"official":{"repos":["NazirNayal8/RbA"],"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"]}}},{"url":"/paper/xkd-cross-modal-knowledge-distillation-with","slug":"xkd-cross-modal-knowledge-distillation-with","title":"XKD: Cross-modal Knowledge Distillation with Domain Alignment for Video Representation Learning","date":"2022-11-25","arxiv_id":"2211.13929","repositories_listed":1,"syntology":null},{"url":"/paper/a-spatio-temporal-deep-learning-approach-for","slug":"a-spatio-temporal-deep-learning-approach-for","title":"A Spatio-temporal Deep Learning Approach for Underwater Acoustic Signals Classification","date":"2022-11-24","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/differentially-private-image-classification","slug":"differentially-private-image-classification","title":"Differentially Private Image Classification from Features","date":"2022-11-24","arxiv_id":"2211.13403","repositories_listed":1,"syntology":null},{"url":"/paper/a-dynamic-weighted-federated-learning-for","slug":"a-dynamic-weighted-federated-learning-for","title":"A Dynamic Weighted Federated Learning for Android Malware Classification","date":"2022-11-23","arxiv_id":"2211.12874","repositories_listed":1,"syntology":null},{"url":"/paper/a-masked-face-classification-benchmark","slug":"a-masked-face-classification-benchmark","title":"A Masked Face Classification Benchmark on Low-Resolution Surveillance Images","date":"2022-11-23","arxiv_id":"2211.13061","repositories_listed":1,"syntology":null},{"url":"/paper/privacy-enhancing-optical-embeddings-for","slug":"privacy-enhancing-optical-embeddings-for","title":"Privacy-Enhancing Optical Embeddings for Lensless Classification","date":"2022-11-23","arxiv_id":"2211.12864","repositories_listed":1,"syntology":null},{"url":"/paper/blind-knowledge-distillation-for-robust-image","slug":"blind-knowledge-distillation-for-robust-image","title":"Blind Knowledge Distillation for Robust Image Classification","date":"2022-11-21","arxiv_id":"2211.11355","repositories_listed":1,"syntology":null},{"url":"/paper/spatiotemporal-modeling-of-multivariate","slug":"spatiotemporal-modeling-of-multivariate","title":"Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models","date":"2022-11-21","arxiv_id":"2211.11176","repositories_listed":1,"syntology":{"n":12,"n_ran":11,"n_constructed":0,"n_ran_checked":8,"n_instrument":3,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":8,"n_pointer_only":0,"phrase":"11 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; 3 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/spatiotemporal-modeling-of-multivariate#ran","syntology_url":"https://syntology.ai/paper/2211.11176","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2211.11176"}},"official":{"repos":["tsy935/graphs4mer"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/mintime-multi-identity-size-invariant-video","slug":"mintime-multi-identity-size-invariant-video","title":"MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection","date":"2022-11-20","arxiv_id":"2211.10996","repositories_listed":1,"syntology":null},{"url":"/paper/efficient-feature-compression-for-edge-cloud","slug":"efficient-feature-compression-for-edge-cloud","title":"Efficient Feature Compression for Edge-Cloud Systems","date":"2022-11-17","arxiv_id":"2211.09897","repositories_listed":1,"syntology":null},{"url":"/paper/glami-1m-a-multilingual-image-text-fashion-1","slug":"glami-1m-a-multilingual-image-text-fashion-1","title":"GLAMI-1M: A Multilingual Image-Text Fashion Dataset","date":"2022-11-17","arxiv_id":"2211.14451","repositories_listed":1,"syntology":null},{"url":"/paper/sar-based-landslide-classification","slug":"sar-based-landslide-classification","title":"SAR-based landslide classification pretraining leads to better segmentation","date":"2022-11-17","arxiv_id":"2211.09927","repositories_listed":1,"syntology":null},{"url":"/paper/galactica-a-large-language-model-for-science-1","slug":"galactica-a-large-language-model-for-science-1","title":"Galactica: A Large Language Model for Science","date":"2022-11-16","arxiv_id":"2211.09085","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_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","sample_list":"/paper/galactica-a-large-language-model-for-science-1#ran","syntology_url":"https://syntology.ai/paper/2211.09085","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2211.09085"}},"official":{"repos":["paperswithcode/galai"],"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"]}}},{"url":"/paper/improving-the-computer-aided-estimation-of","slug":"improving-the-computer-aided-estimation-of","title":"Improving the Computer-Aided Estimation of Ulcerative Colitis Severity According to Mayo Endoscopic Score by Using Regression-Based Deep Learning","date":"2022-11-16","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/music-instrument-classification-reprogrammed","slug":"music-instrument-classification-reprogrammed","title":"Music Instrument Classification Reprogrammed","date":"2022-11-15","arxiv_id":"2211.08379","repositories_listed":1,"syntology":null},{"url":"/paper/probabilistic-deep-metric-learning-for","slug":"probabilistic-deep-metric-learning-for","title":"Probabilistic Deep Metric Learning for Hyperspectral Image Classification","date":"2022-11-15","arxiv_id":"2211.08349","repositories_listed":1,"syntology":null},{"url":"/paper/language-models-are-good-pathologists-using","slug":"language-models-are-good-pathologists-using","title":"Language models are good pathologists: using attention-based sequence reduction and text-pretrained transformers for efficient WSI classification","date":"2022-11-14","arxiv_id":"2211.07384","repositories_listed":1,"syntology":null},{"url":"/paper/stain-invariant-self-supervised-learning-for","slug":"stain-invariant-self-supervised-learning-for","title":"Stain-invariant self supervised learning for histopathology image analysis","date":"2022-11-14","arxiv_id":"2211.07590","repositories_listed":1,"syntology":null},{"url":"/paper/enhancing-few-shot-image-classification-with","slug":"enhancing-few-shot-image-classification-with","title":"Enhancing Few-shot Image Classification with Cosine Transformer","date":"2022-11-13","arxiv_id":"2211.06828","repositories_listed":1,"syntology":null},{"url":"/paper/a-multimodal-embedding-based-approach-to","slug":"a-multimodal-embedding-based-approach-to","title":"A Multimodal Embedding-Based Approach to Industry Classification in Financial Markets","date":"2022-11-11","arxiv_id":"2211.06378","repositories_listed":1,"syntology":null},{"url":"/paper/the-far-side-of-failure-investigating-the","slug":"the-far-side-of-failure-investigating-the","title":"The Far Side of Failure: Investigating the Impact of Speech Recognition Errors on Subsequent Dementia Classification","date":"2022-11-11","arxiv_id":"2211.07430","repositories_listed":1,"syntology":null},{"url":"/paper/vocal-breath-sound-based-gender","slug":"vocal-breath-sound-based-gender","title":"Vocal Breath Sound Based Gender Classification","date":"2022-11-11","arxiv_id":"2211.06371","repositories_listed":1,"syntology":null},{"url":"/paper/soft-augmentation-for-image-classification","slug":"soft-augmentation-for-image-classification","title":"Soft Augmentation for Image Classification","date":"2022-11-09","arxiv_id":"2211.04625","repositories_listed":1,"syntology":null},{"url":"/paper/learning-advisor-networks-for-noisy-image-1","slug":"learning-advisor-networks-for-noisy-image-1","title":"Learning advisor networks for noisy image classification","date":"2022-11-08","arxiv_id":"2211.04177","repositories_listed":1,"syntology":null},{"url":"/paper/zero-shot-classification-by-logical-reasoning","slug":"zero-shot-classification-by-logical-reasoning","title":"Zero-Shot Classification by Logical Reasoning on Natural Language Explanations","date":"2022-11-07","arxiv_id":"2211.03252","repositories_listed":1,"syntology":null},{"url":"/paper/effective-audio-classification-network-based","slug":"effective-audio-classification-network-based","title":"Effective Audio Classification Network Based on Paired Inverse Pyramid Structure and Dense MLP Block","date":"2022-11-05","arxiv_id":"2211.02940","repositories_listed":1,"syntology":null},{"url":"/paper/hierarchical-multi-label-classification-of-1","slug":"hierarchical-multi-label-classification-of-1","title":"Hierarchical Multi-Label Classification of Scientific Documents","date":"2022-11-05","arxiv_id":"2211.02810","repositories_listed":1,"syntology":{"n":1,"n_ran":0,"n_constructed":0,"n_ran_checked":0,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"0 ran · 1 unverified","sample_list":"/paper/hierarchical-multi-label-classification-of-1#ran","syntology_url":"https://syntology.ai/paper/2211.02810","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2211.02810"}},"official":{"repos":["msadat3/scihtc"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"url":"/paper/fair-and-optimal-classification-via","slug":"fair-and-optimal-classification-via","title":"Fair and Optimal Classification via Post-Processing","date":"2022-11-03","arxiv_id":"2211.01528","repositories_listed":1,"syntology":{"n":1,"n_ran":0,"n_constructed":0,"n_ran_checked":0,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"0 ran · 1 unverified","sample_list":"/paper/fair-and-optimal-classification-via#ran","syntology_url":"https://syntology.ai/paper/2211.01528","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2211.01528"}},"official":{"repos":["rxian/fair-classification"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"url":"/paper/low-resource-music-genre-classification-with","slug":"low-resource-music-genre-classification-with","title":"Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming","date":"2022-11-02","arxiv_id":"2211.01317","repositories_listed":1,"syntology":null},{"url":"/paper/galaxy-classification-a-deep-learning","slug":"galaxy-classification-a-deep-learning","title":"Galaxy classification: a deep learning approach for classifying Sloan Digital Sky Survey images","date":"2022-11-01","arxiv_id":"2211.00397","repositories_listed":1,"syntology":null},{"url":"/paper/improving-fairness-in-image-classification","slug":"improving-fairness-in-image-classification","title":"Improving Fairness in Image Classification via Sketching","date":"2022-10-31","arxiv_id":"2211.00168","repositories_listed":1,"syntology":null},{"url":"/paper/zero-shot-text-classification-with-self","slug":"zero-shot-text-classification-with-self","title":"Zero-Shot Text Classification with Self-Training","date":"2022-10-31","arxiv_id":"2210.17541","repositories_listed":1,"syntology":null},{"url":"/paper/parameter-efficient-tuning-makes-a-good","slug":"parameter-efficient-tuning-makes-a-good","title":"Parameter-Efficient Tuning Makes a Good Classification Head","date":"2022-10-30","arxiv_id":"2210.16771","repositories_listed":1,"syntology":null},{"url":"/paper/a-comparative-study-of-graph-neural-networks","slug":"a-comparative-study-of-graph-neural-networks","title":"A Comparative Study of Graph Neural Networks for Shape Classification in Neuroimaging","date":"2022-10-29","arxiv_id":"2210.16670","repositories_listed":1,"syntology":null},{"url":"/paper/distributed-black-box-attack-against-image","slug":"distributed-black-box-attack-against-image","title":"Distributed Black-box Attack: Do Not Overestimate Black-box Attacks","date":"2022-10-28","arxiv_id":"2210.16371","repositories_listed":1,"syntology":null},{"url":"/paper/fairness-certificates-for-differentially","slug":"fairness-certificates-for-differentially","title":"Differential Privacy has Bounded Impact on Fairness in Classification","date":"2022-10-28","arxiv_id":"2210.16242","repositories_listed":1,"syntology":{"n":6,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_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) · 2 unverified","sample_list":"/paper/fairness-certificates-for-differentially#ran","syntology_url":"https://syntology.ai/paper/2210.16242","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2210.16242"}},"official":{"repos":["pmangold/fairness-privacy"],"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"]}}},{"url":"/paper/automatic-severity-assessment-of-dysarthric","slug":"automatic-severity-assessment-of-dysarthric","title":"Automatic Severity Classification of Dysarthric speech by using Self-supervised Model with Multi-task Learning","date":"2022-10-27","arxiv_id":"2210.15387","repositories_listed":1,"syntology":null},{"url":"/paper/learning-one-class-hyperspectral-classifier","slug":"learning-one-class-hyperspectral-classifier","title":"One-Class Risk Estimation for One-Class Hyperspectral Image Classification","date":"2022-10-27","arxiv_id":"2210.15457","repositories_listed":1,"syntology":null},{"url":"/paper/point-voxel-adaptive-feature-abstraction-for","slug":"point-voxel-adaptive-feature-abstraction-for","title":"Point-Voxel Adaptive Feature Abstraction for Robust Point Cloud Classification","date":"2022-10-27","arxiv_id":"2210.15514","repositories_listed":1,"syntology":null},{"url":"/paper/supervised-contrastive-learning-for-3","slug":"supervised-contrastive-learning-for-3","title":"Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning","date":"2022-10-27","arxiv_id":"2210.16192","repositories_listed":1,"syntology":null},{"url":"/paper/working-alliance-transformer-for","slug":"working-alliance-transformer-for","title":"Working Alliance Transformer for Psychotherapy Dialogue Classification","date":"2022-10-27","arxiv_id":"2210.15603","repositories_listed":1,"syntology":null},{"url":"/paper/graph-neural-networks-on-spd-manifolds-for","slug":"graph-neural-networks-on-spd-manifolds-for","title":"Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency Analysis","date":"2022-10-25","arxiv_id":"2211.02641","repositories_listed":1,"syntology":null},{"url":"/paper/multilingual-relation-classification-via","slug":"multilingual-relation-classification-via","title":"Multilingual Relation Classification via Efficient and Effective Prompting","date":"2022-10-25","arxiv_id":"2210.13838","repositories_listed":1,"syntology":null},{"url":"/paper/principal-component-classification","slug":"principal-component-classification","title":"Principal Component Classification","date":"2022-10-23","arxiv_id":"2210.12746","repositories_listed":1,"syntology":null},{"url":"/paper/unsupervised-non-transferable-text","slug":"unsupervised-non-transferable-text","title":"Unsupervised Non-transferable Text Classification","date":"2022-10-23","arxiv_id":"2210.12651","repositories_listed":1,"syntology":{"n":8,"n_ran":4,"n_constructed":0,"n_ran_checked":3,"n_instrument":1,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"4 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; 1 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/unsupervised-non-transferable-text#ran","syntology_url":"https://syntology.ai/paper/2210.12651","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2210.12651"}},"official":{"repos":["chaoscodes/untl"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/generative-prompt-tuning-for-relation-1","slug":"generative-prompt-tuning-for-relation-1","title":"Generative Prompt Tuning for Relation Classification","date":"2022-10-22","arxiv_id":"2210.12435","repositories_listed":1,"syntology":null}],"record_sha256":"fabe0b1433c42dbf4c260e2d69881482eadf613dfe920e7fc508c1bf4641adb0","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}