{"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/contrastive-learning/papers/62","list_of":"/task/contrastive-learning","task":"Contrastive Learning","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":62,"pages_in_order":67,"rows_per_page":100,"rows":[6101,6200],"of":6661,"counts":{"archive_papers_tagged":6661,"with_a_code_link":3104,"where_syntology_ran_a_sample":920,"not_listed_spam_title":0,"listed":6661,"listed_where_code_ran":920,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":795,"every_run_a_failure_of_syntologys_instrument":125,"listed_with_a_run_with_no_instrument_failure":795,"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/contrastive-learning","prev":"/task/contrastive-learning/papers/61","next":"/task/contrastive-learning/papers/63","papers":[{"url":null,"slug":"simclad-a-simple-framework-for-contrastive","title":"SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation","date":"2021-11-29","arxiv_id":"2111.14306","repositories_listed":0,"syntology":null},{"url":null,"slug":"uboco-unsupervised-boundary-contrastive","title":"UBoCo : Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection","date":"2021-11-29","arxiv_id":"2111.14799","repositories_listed":0,"syntology":null},{"url":null,"slug":"weakly-supervised-generative-adversarial","title":"Weakly-supervised Generative Adversarial Networks for medical image classification","date":"2021-11-29","arxiv_id":"2111.14605","repositories_listed":0,"syntology":null},{"url":null,"slug":"simple-contrastive-representation-adversarial","title":"Simple Contrastive Representation Adversarial Learning for NLP Tasks","date":"2021-11-26","arxiv_id":"2111.13301","repositories_listed":0,"syntology":null},{"url":null,"slug":"mio-mutual-information-optimization-using","title":"MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning","date":"2021-11-24","arxiv_id":"2111.12664","repositories_listed":0,"syntology":null},{"url":"/paper/codim-learning-with-noisy-labels-via","slug":"codim-learning-with-noisy-labels-via","title":"CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning","date":"2021-11-23","arxiv_id":"2111.11652","repositories_listed":0,"syntology":null},{"url":null,"slug":"s-simcse-sampled-sub-networks-for-contrastive","title":"S-SimCSE: Sampled Sub-networks for Contrastive Learning of Sentence Embedding","date":"2021-11-23","arxiv_id":"2111.11750","repositories_listed":0,"syntology":null},{"url":null,"slug":"approximate-bayesian-computation-via-2","title":"Approximate Bayesian Computation via Classification","date":"2021-11-22","arxiv_id":"2111.11507","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrast-reconstruction-representation","title":"Contrast-reconstruction Representation Learning for Self-supervised Skeleton-based Action Recognition","date":"2021-11-22","arxiv_id":"2111.11051","repositories_listed":0,"syntology":null},{"url":null,"slug":"distributed-unsupervised-visual","title":"Decentralized Unsupervised Learning of Visual Representations","date":"2021-11-21","arxiv_id":"2111.10763","repositories_listed":0,"syntology":null},{"url":null,"slug":"houghcl-finding-better-positive-pairs-in","title":"HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning","date":"2021-11-21","arxiv_id":"2111.10794","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-graph-self-supervised-learning-with","title":"Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming","date":"2021-11-20","arxiv_id":"2111.10698","repositories_listed":0,"syntology":null},{"url":"/paper/combined-scaling-for-zero-shot-transfer","slug":"combined-scaling-for-zero-shot-transfer","title":"Combined Scaling for Zero-shot Transfer Learning","date":"2021-11-19","arxiv_id":"2111.10050","repositories_listed":0,"syntology":null},{"url":null,"slug":"deepqr-neural-based-quality-ratings-for","title":"DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions","date":"2021-11-19","arxiv_id":"2111.10058","repositories_listed":0,"syntology":null},{"url":"/paper/small-changes-make-big-differences-improving","slug":"small-changes-make-big-differences-improving","title":"Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning","date":"2021-11-19","arxiv_id":"2111.10154","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrastive-multiview-coding-for-enzyme","title":"CSI: Contrastive Data Stratification for Interaction Prediction and its Application to Compound-Protein Interaction Prediction","date":"2021-11-18","arxiv_id":"2111.09467","repositories_listed":0,"syntology":null},{"url":"/paper/pedestrian-detection-by-exemplar-guided","slug":"pedestrian-detection-by-exemplar-guided","title":"Pedestrian Detection by Exemplar-Guided Contrastive Learning","date":"2021-11-17","arxiv_id":"2111.08974","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comparative-study-of-pre-trained-encoders","title":"A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-scalable-holistic-approach-for-age-and","title":"A Scalable Holistic approach for Age and Gender inference of Twitter Users","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-sentence-is-worth-128-pseudo-tokens-a","title":"A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-unified-and-efficient-contrastive-learning","title":"A Unified and Efficient Contrastive Learning Framework for Text Summarization","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"alleviating-the-sparsity-of-open-knowledge","title":"Alleviating the Sparsity of Open Knowledge Graphs with Pretrained Contrastive Learning","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"coderetriever-unimodal-and-bimodal","title":"CodeRetriever: Unimodal and Bimodal Contrastive Learning for Code Search","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"contfv-a-contrastive-learning-framework-for","title":"ConTFV: A Contrastive Learning Framework for Table-based Fact Verification","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"contrastive-conditional-masked-language-model","title":"Contrastive Conditional Masked Language Model for Non-autoregressive Neural Machine Translation","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"contrastive-learning-for-low-resource-machine","title":"Contrastive Learning for Low Resource Machine Translation","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"control-false-negative-instances-in","title":"Control False Negative Instances In Contrastive Learning To ImproveLong-tailed Item Categorization","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"debiased-contrastive-learning-of-unsupervised","title":"Debiased Contrastive Learning of Unsupervised Sentence Representations","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"detect-low-resource-rumors-in-microblog-posts","title":"Detect Low-Resource Rumors in Microblog Posts via Adversarial Contrastive Learning","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-the-nonlinear-mutual-dependencies","title":"Enhancing the Nonlinear Mutual Dependencies in Transformers with Mutual Information","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fine-grained-category-discovery-under-coarse","title":"Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"iclea-interactive-contrastive-learning-for","title":"ICLEA: Interactive Contrastive Learning for Self-supervised Entity Alignment","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-abstractive-dialogue-summarization-3","title":"Improving Abstractive Dialogue Summarization with Speaker-Aware Supervised Contrastive Learning","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-neural-topic-models-by-contrastive","title":"Improving Neural Topic Models by Contrastive Learning with BERT","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"knn-bert-fine-tuning-pre-trained-models-with-1","title":"KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-from-missing-relations-contrastive","title":"Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense Inference","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-universal-sentence-embeddings-with","title":"Learning Universal Sentence Embeddings with Large-scale Parallel Translation Datasets","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"logic-driven-context-extension-and-data-1","title":"Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mderank-a-masked-document-embedding-rank-1","title":"MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"more-than-just-attention-improving-cross","title":"More Than Just Attention: Improving Cross-Modal Attentions with Contrastive Constraints for Image-Text Matching","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-stage-distillation-framework-for-cross","title":"Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"neighborhood-contrastive-learning-for","title":"Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"neighbour-contrastive-learning-with","title":"Neighbour Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"pose-recognition-in-the-wild-animal-pose","title":"Pose Recognition in the Wild: Animal pose estimation using Agglomerative Clustering and Contrastive Learning","date":"2021-11-16","arxiv_id":"2111.08259","repositories_listed":0,"syntology":null},{"url":null,"slug":"prototypical-verbalizer-for-prompt-based-few","title":"Prototypical Verbalizer for Prompt-based Few-shot Tuning","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"reade-learning-relation-dependent-entity","title":"ReadE: Learning Relation-Dependent Entity Representation for Knowledge Graph Completion","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"repo4qa-answering-complex-coding-questions","title":"Repo4QA: Answering Complex Coding Questions via Dense Retrieval on GitHub Repositories","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sancl-multimodal-review-helpfulness","title":"SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-contrastive-learning-with-1","title":"Self-Supervised Contrastive Learning with Adversarial Perturbations for Robust Pretrained Language Models","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sentence-aware-contrastive-learning-for-open","title":"Sentence-aware Contrastive Learning for Open-Domain Passage Retrieval","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"textual-entailment-with-dynamic-contrastive","title":"Textual Entailment with Dynamic Contrastive Learning for Zero-shot NER","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"two-level-supervised-contrastive-learning-for","title":"Two-Level Supervised Contrastive Learning for Response Selection in Multi-Turn Dialogue","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"uctopic-unsupervised-contrastive-learning-for","title":"UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unicon-unsupervised-intent-discovery-via","title":"UNICON: Unsupervised Intent Discovery via Semantic-level Contrastive Learning","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-domain-adaptation-with-8","title":"Unsupervised Domain Adaptation with Contrastive Learning for Cross-domain Chinese NER","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"utterance-rewriting-with-contrastive-learning","title":"Utterance Rewriting with Contrastive Learning in Multi-turn Dialogue","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-representations-for-pixel-based-1","title":"Learning Representations for Pixel-based Control: What Matters and Why?","date":"2021-11-15","arxiv_id":"2111.07775","repositories_listed":0,"syntology":null},{"url":null,"slug":"metric-based-multimodal-meta-learning-for","title":"Metric-based multimodal meta-learning for human movement identification via footstep recognition","date":"2021-11-15","arxiv_id":"2111.07979","repositories_listed":0,"syntology":null},{"url":null,"slug":"scaling-law-for-recommendation-models-towards","title":"Scaling Law for Recommendation Models: Towards General-purpose User Representations","date":"2021-11-15","arxiv_id":"2111.11294","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-contrastive-learning-on-wearable","title":"Evaluating Contrastive Learning on Wearable Timeseries for Downstream Clinical Outcomes","date":"2021-11-13","arxiv_id":"2111.07089","repositories_listed":0,"syntology":null},{"url":null,"slug":"explainable-semantic-space-by-grounding","title":"Explainable Semantic Space by Grounding Language to Vision with Cross-Modal Contrastive Learning","date":"2021-11-13","arxiv_id":"2111.07180","repositories_listed":0,"syntology":null},{"url":null,"slug":"conditional-alignment-and-uniformity-for","title":"Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels","date":"2021-11-10","arxiv_id":"2111.05643","repositories_listed":0,"syntology":null},{"url":null,"slug":"swamp-swapped-assignment-of-multi-modal-pairs","title":"SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval","date":"2021-11-10","arxiv_id":"2111.05814","repositories_listed":0,"syntology":null},{"url":null,"slug":"dual-prototypical-contrastive-learning-for","title":"Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation","date":"2021-11-09","arxiv_id":"2111.04982","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-noise-robust-trigger-word-detection","title":"Towards noise robust trigger-word detection with contrastive learning pre-task for fast on-boarding of new trigger-words","date":"2021-11-06","arxiv_id":"2111.03971","repositories_listed":0,"syntology":null},{"url":null,"slug":"augmentations-in-graph-contrastive-learning","title":"Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices","date":"2021-11-05","arxiv_id":"2111.03220","repositories_listed":0,"syntology":null},{"url":null,"slug":"mixsiam-a-mixture-based-approach-to-self","title":"MixSiam: A Mixture-based Approach to Self-supervised Representation Learning","date":"2021-11-04","arxiv_id":"2111.02679","repositories_listed":0,"syntology":null},{"url":null,"slug":"video-salient-object-detection-via","title":"Video Salient Object Detection via Contrastive Features and Attention Modules","date":"2021-11-03","arxiv_id":"2111.02368","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrastive-learning-for-context-aware-neural-1","title":"Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"counter-contrastive-learning-for-language","title":"Counter-Contrastive Learning for Language GANs","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dialogue-response-generation-via-contrastive","title":"Dialogue Response Generation via Contrastive Latent Representation Learning","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"effective-fine-tuning-methods-for-cross","title":"Effective Fine-Tuning Methods for Cross-lingual Adaptation","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"give-the-truth-incorporate-semantic-slot-into","title":"Give the Truth: Incorporate Semantic Slot into Abstractive Dialogue Summarization","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"kfcnet-knowledge-filtering-and-contrastive-1","title":"KFCNet: Knowledge Filtering and Contrastive Learning for Generative Commonsense Reasoning","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"miss-wmt21-contrastive-learning-reinforced","title":"MiSS@WMT21: Contrastive Learning-reinforced Domain Adaptation in Neural Machine Translation","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"semi-supervised-intent-discovery-with","title":"Semi-supervised Intent Discovery with Contrastive Learning","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"transaug-translate-as-augmentation-for","title":"TransAug: Translate as Augmentation for Sentence Embeddings","date":"2021-10-30","arxiv_id":"2111.00157","repositories_listed":0,"syntology":null},{"url":"/paper/contrast-and-mix-temporal-contrastive-video","slug":"contrast-and-mix-temporal-contrastive-video","title":"Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing","date":"2021-10-28","arxiv_id":"2110.15128","repositories_listed":0,"syntology":null},{"url":null,"slug":"explicitly-modeling-the-discriminability-for","title":"Explicitly Modeling the Discriminability for Instance-Aware Visual Object Tracking","date":"2021-10-28","arxiv_id":"2110.15030","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-noise-robustness-of-contrastive","title":"Improving Noise Robustness of Contrastive Speech Representation Learning with Speech Reconstruction","date":"2021-10-28","arxiv_id":"2110.15430","repositories_listed":0,"syntology":null},{"url":null,"slug":"infogcl-information-aware-graph-contrastive","title":"InfoGCL: Information-Aware Graph Contrastive Learning","date":"2021-10-28","arxiv_id":"2110.15438","repositories_listed":0,"syntology":null},{"url":null,"slug":"radbert-cl-factually-aware-contrastive","title":"RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification","date":"2021-10-28","arxiv_id":"2110.15426","repositories_listed":0,"syntology":null},{"url":null,"slug":"nida-clifgan-natural-infrastructure-damage","title":"NIDA-CLIFGAN: Natural Infrastructure Damage Assessment through Efficient Classification Combining Contrastive Learning, Information Fusion and Generative Adversarial Networks","date":"2021-10-27","arxiv_id":"2110.14518","repositories_listed":0,"syntology":null},{"url":null,"slug":"scalp-supervised-contrastive-learning-for","title":"SCALP -- Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata","date":"2021-10-27","arxiv_id":"2110.14787","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-explicit-joint-and-supervised-contrastive","title":"An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling","date":"2021-10-26","arxiv_id":"2110.13691","repositories_listed":0,"syntology":null},{"url":"/paper/tackling-oversmoothing-of-gnns-with-1","slug":"tackling-oversmoothing-of-gnns-with-1","title":"Deeper-GXX: Deepening Arbitrary GNNs","date":"2021-10-26","arxiv_id":"2110.13798","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-more-generalizable-one-shot-visual","title":"Towards More Generalizable One-shot Visual Imitation Learning","date":"2021-10-26","arxiv_id":"2110.13423","repositories_listed":0,"syntology":null},{"url":null,"slug":"clld-contrastive-learning-with-label-distance","title":"CLLD: Contrastive Learning with Label Distance for Text Classification","date":"2021-10-25","arxiv_id":"2110.13656","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrastive-document-representation-learning","title":"Contrastive Document Representation Learning with Graph Attention Networks","date":"2021-10-20","arxiv_id":"2110.10778","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-universal-user-representations-via-1","title":"Empowering General-purpose User Representation with Full-life Cycle Behavior Modeling","date":"2021-10-20","arxiv_id":"2110.11337","repositories_listed":0,"syntology":null},{"url":null,"slug":"no-one-representation-to-rule-them-all-1","title":"No One Representation to Rule Them All: Overlapping Features of Training Methods","date":"2021-10-20","arxiv_id":"2110.12899","repositories_listed":0,"syntology":null},{"url":null,"slug":"vldeformer-learning-visual-semantic","title":"VLDeformer: Vision-Language Decomposed Transformer for Fast Cross-Modal Retrieval","date":"2021-10-20","arxiv_id":"2110.11338","repositories_listed":0,"syntology":null},{"url":"/paper/improving-tail-class-representation-with","slug":"improving-tail-class-representation-with","title":"Improving Tail-Class Representation with Centroid Contrastive Learning","date":"2021-10-19","arxiv_id":"2110.10048","repositories_listed":0,"syntology":null},{"url":null,"slug":"momentum-contrastive-autoencoder-using-1","title":"Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE","date":"2021-10-19","arxiv_id":"2110.10303","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrastive-learning-of-visual-semantic","title":"Contrastive Learning of Visual-Semantic Embeddings","date":"2021-10-17","arxiv_id":"2110.08872","repositories_listed":0,"syntology":null},{"url":null,"slug":"container-few-shot-named-entity-recognition-1","title":"CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning","date":"2021-10-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-the-impact-of-negative-samples-of","title":"Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding","date":"2021-10-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-eeg-signals-codification-using","title":"Towards EEG signals codification using contrastiveloss","date":"2021-10-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-contrastive-attributed-graph","title":"Self-supervised Contrastive Attributed Graph Clustering","date":"2021-10-15","arxiv_id":"2110.08264","repositories_listed":0,"syntology":null},{"url":null,"slug":"representation-decoupling-for-open-domain","title":"Sentence-aware Contrastive Learning for Open-Domain Passage Retrieval","date":"2021-10-14","arxiv_id":"2110.07524","repositories_listed":0,"syntology":null}],"record_sha256":"03215657fcb6df0c3edafac254d692fd8fe4d32c40f8b443dca52d56169e91d5","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}