{"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/contrastive-learning/papers/36","list_of":"/method/contrastive-learning","method":"Contrastive Learning","archive":{"snapshot":"2025-07-28"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"date (newest first), then slug","page":36,"pages_in_order":51,"rows_per_page":100,"rows":[3501,3600],"of":5057,"counts":{"archive_papers_tagged":5057,"with_a_code_link":2344,"where_syntology_ran_a_sample":654,"not_listed_spam_title":0,"listed":5057,"listed_where_code_ran":654,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":568,"every_run_a_failure_of_syntologys_instrument":86,"listed_with_a_run_with_no_instrument_failure":568,"listed_every_run_a_failure_of_syntologys_instrument":86,"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/contrastive-learning","prev":"/method/contrastive-learning/papers/35","next":"/method/contrastive-learning/papers/37","papers":[{"paper":null,"slug":"unsupervised-domain-adaptation-for-covid-19","title":"Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup","date":"2022-10-06","arxiv_id":"2210.03250","n_code_links":0,"syntology":null},{"paper":null,"slug":"jitter-does-matter-adapting-gaze-estimation","title":"Jitter Does Matter: Adapting Gaze Estimation to New Domains","date":"2022-10-05","arxiv_id":"2210.02082","n_code_links":0,"syntology":null},{"paper":"/paper/revisiting-graph-contrastive-learning-from","slug":"revisiting-graph-contrastive-learning-from","title":"Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum","date":"2022-10-05","arxiv_id":"2210.02330","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, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["liun-online/spco"],"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":null,"slug":"a-study-on-the-efficiency-and-generalization","title":"A Study on the Efficiency and Generalization of Light Hybrid Retrievers","date":"2022-10-04","arxiv_id":"2210.01371","n_code_links":0,"syntology":null},{"paper":"/paper/coarse3d-class-prototypes-for-contrastive","slug":"coarse3d-class-prototypes-for-contrastive","title":"COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation","date":"2022-10-04","arxiv_id":"2210.01784","n_code_links":1,"syntology":{"ran":6,"of":8,"n_ran_checked":5,"n_instrument":1,"unverified":2,"pointer_only":2,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 2 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["cv-rits/coarse3d"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"contrastive-learning-can-find-an-optimal","title":"Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions","date":"2022-10-04","arxiv_id":"2210.01883","n_code_links":0,"syntology":null},{"paper":null,"slug":"self-supervised-pre-training-for-semantic","title":"Self-supervised Pre-training for Semantic Segmentation in an Indoor Scene","date":"2022-10-04","arxiv_id":"2210.01884","n_code_links":0,"syntology":null},{"paper":"/paper/when-and-why-vision-language-models-behave","slug":"when-and-why-vision-language-models-behave","title":"When and why vision-language models behave like bags-of-words, and what to do about it?","date":"2022-10-04","arxiv_id":"2210.01936","n_code_links":1,"syntology":{"ran":3,"of":8,"n_ran_checked":3,"n_instrument":0,"unverified":5,"pointer_only":7,"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) · 5 unverified","official":{"repos":["mertyg/vision-language-models-are-bows"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":"/paper/clip2point-transfer-clip-to-point-cloud","slug":"clip2point-transfer-clip-to-point-cloud","title":"CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training","date":"2022-10-03","arxiv_id":"2210.01055","n_code_links":1,"syntology":null},{"paper":"/paper/contragen-effective-contrastive-learning-for","slug":"contragen-effective-contrastive-learning-for","title":"ContraCLM: Contrastive Learning For Causal Language Model","date":"2022-10-03","arxiv_id":"2210.01185","n_code_links":1,"syntology":{"ran":9,"of":13,"n_ran_checked":9,"n_instrument":0,"unverified":4,"pointer_only":0,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","official":null}},{"paper":"/paper/contrastive-audio-visual-masked-autoencoder","slug":"contrastive-audio-visual-masked-autoencoder","title":"Contrastive Audio-Visual Masked Autoencoder","date":"2022-10-02","arxiv_id":"2210.07839","n_code_links":1,"syntology":{"ran":0,"of":1,"n_ran_checked":0,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"0 ran · 1 unverified","official":{"repos":["yuangongnd/cav-mae"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"paper":"/paper/fine-grained-contrastive-learning-for-1","slug":"fine-grained-contrastive-learning-for-1","title":"Fine-grained Contrastive Learning for Definition Generation","date":"2022-10-02","arxiv_id":"2210.00543","n_code_links":1,"syntology":null},{"paper":"/paper/spectral-augmentation-for-self-supervised","slug":"spectral-augmentation-for-self-supervised","title":"Spectral Augmentation for Self-Supervised Learning on Graphs","date":"2022-10-02","arxiv_id":"2210.00643","n_code_links":1,"syntology":null},{"paper":"/paper/detecting-irregular-network-activity-with","slug":"detecting-irregular-network-activity-with","title":"Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback","date":"2022-10-01","arxiv_id":"2210.02841","n_code_links":1,"syntology":null},{"paper":"/paper/heterogeneous-graph-contrastive-multi-view","slug":"heterogeneous-graph-contrastive-multi-view","title":"Heterogeneous Graph Contrastive Multi-view Learning","date":"2022-10-01","arxiv_id":"2210.00248","n_code_links":1,"syntology":null},{"paper":"/paper/contrastive-corpus-attribution-for-explaining","slug":"contrastive-corpus-attribution-for-explaining","title":"Contrastive Corpus Attribution for Explaining Representations","date":"2022-09-30","arxiv_id":"2210.00107","n_code_links":1,"syntology":{"ran":3,"of":4,"n_ran_checked":3,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"3 ran (of which 3 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; every one of the 3 samples that ran constructed an object rather than computing a result","official":{"repos":["suinleelab/cl-explainability"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":3,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"contrastive-graph-few-shot-learning","title":"Contrastive Graph Few-Shot Learning","date":"2022-09-30","arxiv_id":"2210.00084","n_code_links":0,"syntology":null},{"paper":"/paper/data-poisoning-attacks-against-multimodal","slug":"data-poisoning-attacks-against-multimodal","title":"Data Poisoning Attacks Against Multimodal Encoders","date":"2022-09-30","arxiv_id":"2209.15266","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":1,"n_instrument":2,"unverified":0,"pointer_only":3,"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) · 0 unverified","official":{"repos":["zqypku/mm_poison"],"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/ernie-vil-2-0-multi-view-contrastive-learning","slug":"ernie-vil-2-0-multi-view-contrastive-learning","title":"ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-training","date":"2022-09-30","arxiv_id":"2209.15270","n_code_links":1,"syntology":null},{"paper":"/paper/slimmable-networks-for-contrastive-self","slug":"slimmable-networks-for-contrastive-self","title":"Slimmable Networks for Contrastive Self-supervised Learning","date":"2022-09-30","arxiv_id":"2209.15525","n_code_links":1,"syntology":null},{"paper":"/paper/colo-a-contrastive-learning-based-re-ranking","slug":"colo-a-contrastive-learning-based-re-ranking","title":"COLO: A Contrastive Learning based Re-ranking Framework for One-Stage Summarization","date":"2022-09-29","arxiv_id":"2209.14569","n_code_links":1,"syntology":null},{"paper":null,"slug":"few-shot-text-classification-with-dual","title":"Few-shot Text Classification with Dual Contrastive Consistency","date":"2022-09-29","arxiv_id":"2209.15069","n_code_links":0,"syntology":null},{"paper":null,"slug":"prompt-guided-scene-generation-for-3d-zero","title":"Prompt-guided Scene Generation for 3D Zero-Shot Learning","date":"2022-09-29","arxiv_id":"2209.14690","n_code_links":0,"syntology":null},{"paper":null,"slug":"rest-retrieve-self-train-for-generative","title":"REST: REtrieve & Self-Train for generative action recognition","date":"2022-09-29","arxiv_id":"2209.15000","n_code_links":0,"syntology":null},{"paper":"/paper/audio-retrieval-with-wavtext5k-and-clap","slug":"audio-retrieval-with-wavtext5k-and-clap","title":"Audio Retrieval with WavText5K and CLAP Training","date":"2022-09-28","arxiv_id":"2209.14275","n_code_links":1,"syntology":null},{"paper":null,"slug":"graph-soft-contrastive-learning-via","title":"Graph Soft-Contrastive Learning via Neighborhood Ranking","date":"2022-09-28","arxiv_id":"2209.13964","n_code_links":0,"syntology":null},{"paper":null,"slug":"learning-deep-representations-via-contrastive","title":"Learning Deep Representations via Contrastive Learning for Instance Retrieval","date":"2022-09-28","arxiv_id":"2209.13832","n_code_links":0,"syntology":null},{"paper":null,"slug":"supervised-contrastive-learning-as-multi","title":"Supervised Contrastive Learning as Multi-Objective Optimization for Fine-Tuning Large Pre-trained Language Models","date":"2022-09-28","arxiv_id":"2209.14161","n_code_links":0,"syntology":null},{"paper":null,"slug":"unified-loss-of-pair-similarity-optimization","title":"Unified Loss of Pair Similarity Optimization for Vision-Language Retrieval","date":"2022-09-28","arxiv_id":"2209.13869","n_code_links":0,"syntology":null},{"paper":"/paper/weighted-contrastive-hashing","slug":"weighted-contrastive-hashing","title":"Weighted Contrastive Hashing","date":"2022-09-28","arxiv_id":"2209.14099","n_code_links":1,"syntology":null},{"paper":"/paper/mine-your-own-anatomy-revisiting-medical","slug":"mine-your-own-anatomy-revisiting-medical","title":"Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels","date":"2022-09-27","arxiv_id":"2209.13476","n_code_links":1,"syntology":{"ran":4,"of":4,"n_ran_checked":1,"n_instrument":3,"unverified":0,"pointer_only":2,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","official":{"repos":["charlesyou999648/MONA"],"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","unlocated"]}}},{"paper":null,"slug":"regularized-contrastive-learning-of-semantic","title":"Regularized Contrastive Learning of Semantic Search","date":"2022-09-27","arxiv_id":"2209.13241","n_code_links":0,"syntology":null},{"paper":"/paper/wikides-a-wikipedia-based-dataset-for","slug":"wikides-a-wikipedia-based-dataset-for","title":"WikiDes: A Wikipedia-Based Dataset for Generating Short Descriptions from Paragraphs","date":"2022-09-27","arxiv_id":"2209.13101","n_code_links":1,"syntology":null},{"paper":"/paper/generalized-parametric-contrastive-learning","slug":"generalized-parametric-contrastive-learning","title":"Generalized Parametric Contrastive Learning","date":"2022-09-26","arxiv_id":"2209.12400","n_code_links":4,"syntology":null},{"paper":null,"slug":"self-supervised-image-clustering-from","title":"Self-supervised Image Clustering from Multiple Incomplete Views via Constrastive Complementary Generation","date":"2022-09-24","arxiv_id":"2209.11927","n_code_links":0,"syntology":null},{"paper":"/paper/cuts-a-fully-unsupervised-framework-for","slug":"cuts-a-fully-unsupervised-framework-for","title":"CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation","date":"2022-09-23","arxiv_id":"2209.11359","n_code_links":3,"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: 2 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["krishnaswamylab/cuts","ChenLiu-1996/CUTS"],"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/spatio-temporal-contrastive-learning-enhanced","slug":"spatio-temporal-contrastive-learning-enhanced","title":"Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation","date":"2022-09-23","arxiv_id":"2209.11461","n_code_links":1,"syntology":null},{"paper":"/paper/whodunit-learning-to-contrast-for-authorship","slug":"whodunit-learning-to-contrast-for-authorship","title":"Whodunit? Learning to Contrast for Authorship Attribution","date":"2022-09-23","arxiv_id":"2209.11887","n_code_links":1,"syntology":null},{"paper":"/paper/an-information-minimization-based-contrastive","slug":"an-information-minimization-based-contrastive","title":"An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning","date":"2022-09-22","arxiv_id":"2209.10951","n_code_links":1,"syntology":null},{"paper":"/paper/cone-an-efficient-coarse-to-fine-alignment","slug":"cone-an-efficient-coarse-to-fine-alignment","title":"CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding","date":"2022-09-22","arxiv_id":"2209.10918","n_code_links":1,"syntology":null},{"paper":null,"slug":"sr-gcl-session-based-recommendation-with","title":"SR-GCL: Session-Based Recommendation with Global Context Enhanced Augmentation in Contrastive Learning","date":"2022-09-22","arxiv_id":"2209.10807","n_code_links":0,"syntology":null},{"paper":null,"slug":"boosting-star-gans-for-voice-conversion-with","title":"Boosting Star-GANs for Voice Conversion with Contrastive Discriminator","date":"2022-09-21","arxiv_id":"2209.10088","n_code_links":0,"syntology":null},{"paper":null,"slug":"contrastive-learning-for-time-series-on","title":"Contrastive Learning for Time Series on Dynamic Graphs","date":"2022-09-21","arxiv_id":"2209.10662","n_code_links":0,"syntology":null},{"paper":"/paper/federated-learning-from-pre-trained-models-a","slug":"federated-learning-from-pre-trained-models-a","title":"Federated Learning from Pre-Trained Models: A Contrastive Learning Approach","date":"2022-09-21","arxiv_id":"2209.10083","n_code_links":2,"syntology":{"ran":5,"of":6,"n_ran_checked":3,"n_instrument":2,"unverified":1,"pointer_only":0,"phrase":"5 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; 2 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":"/paper/self-adversarial-multi-scale-contrastive","slug":"self-adversarial-multi-scale-contrastive","title":"Self-adversarial Multi-scale Contrastive Learning for Semantic Segmentation of Thermal Facial Images","date":"2022-09-21","arxiv_id":"2209.10700","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":3,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 1 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["physiologicailab/sam-cl"],"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/an-information-theoretic-and-contrastive","slug":"an-information-theoretic-and-contrastive","title":"Statement-Level Vulnerability Detection: Learning Vulnerability Patterns Through Information Theory and Contrastive Learning","date":"2022-09-20","arxiv_id":"2209.10414","n_code_links":1,"syntology":null},{"paper":"/paper/sleepyco-automatic-sleep-scoring-with-feature","slug":"sleepyco-automatic-sleep-scoring-with-feature","title":"SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning","date":"2022-09-20","arxiv_id":"2209.09452","n_code_links":1,"syntology":null},{"paper":null,"slug":"learning-decoupled-retrieval-representation","title":"Learning Decoupled Retrieval Representation for Nearest Neighbour Neural Machine Translation","date":"2022-09-19","arxiv_id":"2209.08738","n_code_links":0,"syntology":null},{"paper":null,"slug":"s-3-r-self-supervised-spectral-regression-for","title":"S$^3$R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification","date":"2022-09-19","arxiv_id":"2209.08770","n_code_links":0,"syntology":null},{"paper":"/paper/dual-contrastive-network-for-sequential","slug":"dual-contrastive-network-for-sequential","title":"Mutual Harmony: Sequential Recommendation with Dual Contrastive Network","date":"2022-09-18","arxiv_id":"2209.08446","n_code_links":1,"syntology":null},{"paper":null,"slug":"few-shot-classification-with-contrastive","title":"Few-Shot Classification with Contrastive Learning","date":"2022-09-17","arxiv_id":"2209.08224","n_code_links":0,"syntology":null},{"paper":null,"slug":"adversarial-cross-view-disentangled-graph","title":"Graph Contrastive Learning with Cross-view Reconstruction","date":"2022-09-16","arxiv_id":"2209.07699","n_code_links":0,"syntology":null},{"paper":"/paper/metamask-revisiting-dimensional-confounder","slug":"metamask-revisiting-dimensional-confounder","title":"MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning","date":"2022-09-16","arxiv_id":"2209.07902","n_code_links":2,"syntology":null},{"paper":"/paper/spatial-then-temporal-self-supervised","slug":"spatial-then-temporal-self-supervised","title":"Spatial-then-Temporal Self-Supervised Learning for Video Correspondence","date":"2022-09-16","arxiv_id":"2209.07778","n_code_links":1,"syntology":{"ran":6,"of":7,"n_ran_checked":6,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["qianduoduolr/Spa-then-Temp"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/srfeat-learning-locally-accurate-and-globally","slug":"srfeat-learning-locally-accurate-and-globally","title":"SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence","date":"2022-09-16","arxiv_id":"2209.07806","n_code_links":1,"syntology":null},{"paper":null,"slug":"topological-structure-learning-for-weakly","title":"Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection","date":"2022-09-16","arxiv_id":"2209.07837","n_code_links":0,"syntology":null},{"paper":"/paper/beyond-learning-from-next-item-sequential","slug":"beyond-learning-from-next-item-sequential","title":"Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability","date":"2022-09-14","arxiv_id":"2209.06644","n_code_links":1,"syntology":null},{"paper":null,"slug":"graph-contrastive-learning-with-personalized","title":"Graph Contrastive Learning with Personalized Augmentation","date":"2022-09-14","arxiv_id":"2209.06560","n_code_links":0,"syntology":null},{"paper":null,"slug":"joint-debiased-representation-and-image","title":"Joint Debiased Representation and Image Clustering Learning with Self-Supervision","date":"2022-09-14","arxiv_id":"2209.06941","n_code_links":0,"syntology":null},{"paper":"/paper/jointly-contrastive-representation-learning","slug":"jointly-contrastive-representation-learning","title":"Jointly Contrastive Representation Learning on Road Network and Trajectory","date":"2022-09-14","arxiv_id":"2209.06389","n_code_links":1,"syntology":null},{"paper":"/paper/pointacl-adversarial-contrastive-learning-for","slug":"pointacl-adversarial-contrastive-learning-for","title":"PointACL:Adversarial Contrastive Learning for Robust Point Clouds Representation under Adversarial Attack","date":"2022-09-14","arxiv_id":"2209.06971","n_code_links":1,"syntology":null},{"paper":"/paper/space-2-tree-structured-semi-supervised","slug":"space-2-tree-structured-semi-supervised","title":"SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding","date":"2022-09-14","arxiv_id":"2209.06638","n_code_links":1,"syntology":null},{"paper":"/paper/space-3-unified-dialog-model-pre-training-for","slug":"space-3-unified-dialog-model-pre-training-for","title":"SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation","date":"2022-09-14","arxiv_id":"2209.06664","n_code_links":1,"syntology":null},{"paper":null,"slug":"active-perception-applied-to-unmanned-aerial","title":"Active Perception Applied To Unmanned Aerial Vehicles Through Deep Reinforcement Learning","date":"2022-09-13","arxiv_id":"2209.06336","n_code_links":0,"syntology":null},{"paper":"/paper/don-t-judge-a-language-model-by-its-last","slug":"don-t-judge-a-language-model-by-its-last","title":"Don't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling","date":"2022-09-13","arxiv_id":"2209.05972","n_code_links":1,"syntology":null},{"paper":"/paper/sancl-multimodal-review-helpfulness-1","slug":"sancl-multimodal-review-helpfulness-1","title":"SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning","date":"2022-09-12","arxiv_id":"2209.05040","n_code_links":1,"syntology":null},{"paper":"/paper/openmixup-open-mixup-toolbox-and-benchmark","slug":"openmixup-open-mixup-toolbox-and-benchmark","title":"OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning","date":"2022-09-11","arxiv_id":"2209.04851","n_code_links":1,"syntology":null},{"paper":"/paper/ranking-enhanced-unsupervised-sentence","slug":"ranking-enhanced-unsupervised-sentence","title":"Ranking-Enhanced Unsupervised Sentence Representation Learning","date":"2022-09-09","arxiv_id":"2209.04333","n_code_links":1,"syntology":null},{"paper":null,"slug":"information-maximization-for-extreme-pose","title":"Information Maximization for Extreme Pose Face Recognition","date":"2022-09-07","arxiv_id":"2209.03456","n_code_links":0,"syntology":null},{"paper":null,"slug":"mimco-masked-image-modeling-pre-training-with","title":"MimCo: Masked Image Modeling Pre-training with Contrastive Teacher","date":"2022-09-07","arxiv_id":"2209.03063","n_code_links":0,"syntology":null},{"paper":"/paper/semi-supervised-crowd-counting-via-density","slug":"semi-supervised-crowd-counting-via-density","title":"Semi-supervised Crowd Counting via Density Agency","date":"2022-09-07","arxiv_id":"2209.02955","n_code_links":1,"syntology":null},{"paper":"/paper/fun2vec-a-contrastive-learning-framework-of","slug":"fun2vec-a-contrastive-learning-framework-of","title":"SimCLF: A Simple Contrastive Learning Framework for Function-level Binary Embeddings","date":"2022-09-06","arxiv_id":"2209.02442","n_code_links":1,"syntology":null},{"paper":null,"slug":"identification-of-small-objects-in-satellite","title":"Progressive Domain Adaptation with Contrastive Learning for Object Detection in the Satellite Imagery","date":"2022-09-06","arxiv_id":"2209.02564","n_code_links":0,"syntology":null},{"paper":null,"slug":"language-aware-domain-generalization-network","title":"Language-aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification","date":"2022-09-06","arxiv_id":"2209.02700","n_code_links":0,"syntology":null},{"paper":null,"slug":"multimodal-contrastive-learning-for-remote","title":"Multimodal contrastive learning for remote sensing tasks","date":"2022-09-06","arxiv_id":"2209.02329","n_code_links":0,"syntology":null},{"paper":"/paper/xsimgcl-towards-extremely-simple-graph","slug":"xsimgcl-towards-extremely-simple-graph","title":"XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation","date":"2022-09-06","arxiv_id":"2209.02544","n_code_links":1,"syntology":null},{"paper":null,"slug":"disentangled-graph-contrastive-learning-for","title":"Disentangled Graph Contrastive Learning for Review-based Recommendation","date":"2022-09-04","arxiv_id":"2209.01524","n_code_links":0,"syntology":null},{"paper":"/paper/joint-prediction-of-meningioma-grade-and","slug":"joint-prediction-of-meningioma-grade-and","title":"Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning","date":"2022-09-04","arxiv_id":"2209.01517","n_code_links":1,"syntology":null},{"paper":null,"slug":"representative-image-feature-extraction-via","title":"Representative Image Feature Extraction via Contrastive Learning Pretraining for Chest X-ray Report Generation","date":"2022-09-04","arxiv_id":"2209.01604","n_code_links":0,"syntology":null},{"paper":null,"slug":"single-source-domain-expansion-network-for","title":"Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification","date":"2022-09-04","arxiv_id":"2209.01634","n_code_links":0,"syntology":null},{"paper":"/paper/explanation-guided-contrastive-learning-for","slug":"explanation-guided-contrastive-learning-for","title":"Explanation Guided Contrastive Learning for Sequential Recommendation","date":"2022-09-03","arxiv_id":"2209.01347","n_code_links":1,"syntology":null},{"paper":"/paper/semi-supervised-semantic-segmentation-with-8","slug":"semi-supervised-semantic-segmentation-with-8","title":"Semi-Supervised Semantic Segmentation with Cross Teacher Training","date":"2022-09-03","arxiv_id":"2209.01327","n_code_links":1,"syntology":null},{"paper":"/paper/a-novel-approach-for-pill-prescription","slug":"a-novel-approach-for-pill-prescription","title":"A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning","date":"2022-09-02","arxiv_id":"2209.01152","n_code_links":1,"syntology":null},{"paper":"/paper/artifact-tolerant-clustering-guided","slug":"artifact-tolerant-clustering-guided","title":"Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images","date":"2022-09-02","arxiv_id":"2209.00773","n_code_links":1,"syntology":null},{"paper":null,"slug":"eeg-based-emotion-recognition-via-efficient","title":"EEG-based Emotion Recognition via Efficient Convolutional Neural Network and Contrastive Learning","date":"2022-09-02","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"img2imu-applying-knowledge-from-large-scale","title":"IMG2IMU: Translating Knowledge from Large-Scale Images to IMU Sensing Applications","date":"2022-09-02","arxiv_id":"2209.00945","n_code_links":0,"syntology":null},{"paper":"/paper/multi-modal-contrastive-representation","slug":"multi-modal-contrastive-representation","title":"Multi-modal Contrastive Representation Learning for Entity Alignment","date":"2022-09-02","arxiv_id":"2209.00891","n_code_links":1,"syntology":{"ran":7,"of":10,"n_ran_checked":4,"n_instrument":3,"unverified":3,"pointer_only":3,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 3 where Syntology's instrument failed) · 3 unverified","official":{"repos":["lzxlin/mclea"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/focus-driven-contrastive-learniang-for","slug":"focus-driven-contrastive-learniang-for","title":"Focus-Driven Contrastive Learniang for Medical Question Summarization","date":"2022-09-01","arxiv_id":"2209.00484","n_code_links":1,"syntology":null},{"paper":null,"slug":"multi-scale-contrastive-co-training-for-event","title":"Distilling Multi-Scale Knowledge for Event Temporal Relation Extraction","date":"2022-09-01","arxiv_id":"2209.00568","n_code_links":0,"syntology":null},{"paper":"/paper/pointclm-a-contrastive-learning-based","slug":"pointclm-a-contrastive-learning-based","title":"PointCLM: A Contrastive Learning-based Framework for Multi-instance Point Cloud Registration","date":"2022-09-01","arxiv_id":"2209.00219","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":3,"n_instrument":0,"unverified":0,"pointer_only":3,"phrase":"3 ran (of which 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) · 0 unverified","official":{"repos":["phdymz/pointclm"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":2,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/proco-prototype-aware-contrastive-learning","slug":"proco-prototype-aware-contrastive-learning","title":"ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification","date":"2022-09-01","arxiv_id":"2209.00183","n_code_links":1,"syntology":{"ran":6,"of":8,"n_ran_checked":1,"n_instrument":5,"unverified":2,"pointer_only":8,"phrase":"6 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; 5 where Syntology's instrument failed) · 2 unverified","official":{"repos":["skyz215/proco"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["official","unlocated"]}}},{"paper":null,"slug":"self-supervised-representation-learning-on-3","title":"Self-supervised Representation Learning on Electronic Health Records with Graph Kernel Infomax","date":"2022-09-01","arxiv_id":"2209.00655","n_code_links":0,"syntology":null},{"paper":"/paper/tempclr-reconstructing-hands-via-time","slug":"tempclr-reconstructing-hands-via-time","title":"TempCLR: Reconstructing Hands via Time-Coherent Contrastive Learning","date":"2022-09-01","arxiv_id":"2209.00489","n_code_links":1,"syntology":null},{"paper":"/paper/evit-privacy-preserving-image-retrieval-via","slug":"evit-privacy-preserving-image-retrieval-via","title":"EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing","date":"2022-08-31","arxiv_id":"2208.14657","n_code_links":1,"syntology":null},{"paper":"/paper/incorporating-task-specific-concept-knowledge","slug":"incorporating-task-specific-concept-knowledge","title":"Incorporating Task-specific Concept Knowledge into Script Learning","date":"2022-08-31","arxiv_id":"2209.00068","n_code_links":1,"syntology":null},{"paper":null,"slug":"let-me-check-the-examples-enhancing","title":"Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation","date":"2022-08-31","arxiv_id":"2209.00455","n_code_links":0,"syntology":null},{"paper":"/paper/sim-trans-structure-information-modeling","slug":"sim-trans-structure-information-modeling","title":"SIM-Trans: Structure Information Modeling Transformer for Fine-grained Visual Categorization","date":"2022-08-31","arxiv_id":"2208.14607","n_code_links":1,"syntology":null},{"paper":"/paper/supervised-contrastive-learning-with-hard","slug":"supervised-contrastive-learning-with-hard","title":"Supervised Contrastive Learning with Hard Negative Samples","date":"2022-08-31","arxiv_id":"2209.00078","n_code_links":1,"syntology":{"ran":0,"of":1,"n_ran_checked":0,"n_instrument":0,"unverified":1,"pointer_only":1,"phrase":"0 ran · 1 unverified","official":{"repos":["rjiang03/h-scl"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"paper":null,"slug":"compound-figure-separation-of-biomedical-1","title":"Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning","date":"2022-08-30","arxiv_id":"2208.14357","n_code_links":0,"syntology":null},{"paper":"/paper/optimizing-bi-encoder-for-named-entity","slug":"optimizing-bi-encoder-for-named-entity","title":"Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning","date":"2022-08-30","arxiv_id":"2208.14565","n_code_links":1,"syntology":{"ran":4,"of":4,"n_ran_checked":1,"n_instrument":3,"unverified":0,"pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","official":{"repos":["microsoft/binder"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}}],"record_sha256":"11a49e84357f288f2348c50e8badd1d549b86ae8e3106bfb9c8606aff0a6b0af","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}