{"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/34","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":34,"pages_in_order":51,"rows_per_page":100,"rows":[3301,3400],"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/33","next":"/method/contrastive-learning/papers/35","papers":[{"paper":null,"slug":"relation-dependent-contrastive-learning-with","title":"Relation-dependent Contrastive Learning with Cluster Sampling for Inductive Relation Prediction","date":"2022-11-22","arxiv_id":"2211.12266","n_code_links":0,"syntology":null},{"paper":"/paper/supervised-contrastive-learning-on-blended","slug":"supervised-contrastive-learning-on-blended","title":"Supervised Contrastive Learning on Blended Images for Long-tailed Recognition","date":"2022-11-22","arxiv_id":"2211.11938","n_code_links":0,"syntology":null},{"paper":"/paper/transformer-based-multi-grained-features-for","slug":"transformer-based-multi-grained-features-for","title":"Transformer Based Multi-Grained Features for Unsupervised Person Re-Identification","date":"2022-11-22","arxiv_id":"2211.12280","n_code_links":1,"syntology":null},{"paper":null,"slug":"boosting-novel-category-discovery-over","title":"Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All-in-One Classifier","date":"2022-11-21","arxiv_id":"2211.11262","n_code_links":0,"syntology":null},{"paper":"/paper/clawsat-towards-both-robust-and-accurate-code","slug":"clawsat-towards-both-robust-and-accurate-code","title":"CLAWSAT: Towards Both Robust and Accurate Code Models","date":"2022-11-21","arxiv_id":"2211.11711","n_code_links":1,"syntology":null},{"paper":"/paper/cross-modal-contrastive-learning-for-robust","slug":"cross-modal-contrastive-learning-for-robust","title":"Cross-Modal Contrastive Learning for Robust Reasoning in VQA","date":"2022-11-21","arxiv_id":"2211.11190","n_code_links":1,"syntology":null},{"paper":"/paper/delving-stylegan-inversion-for-image-editing","slug":"delving-stylegan-inversion-for-image-editing","title":"Delving StyleGAN Inversion for Image Editing: A Foundation Latent Space Viewpoint","date":"2022-11-21","arxiv_id":"2211.11448","n_code_links":1,"syntology":null},{"paper":"/paper/expectation-maximization-contrastive-learning","slug":"expectation-maximization-contrastive-learning","title":"Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations","date":"2022-11-21","arxiv_id":"2211.11427","n_code_links":4,"syntology":{"ran":3,"of":4,"n_ran_checked":0,"n_instrument":3,"unverified":1,"pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified","official":{"repos":["jpthu17/emcl"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["listed","official"]}}},{"paper":null,"slug":"open-set-object-detection-using","title":"Open-Set Object Detection Using Classification-free Object Proposal and Instance-level Contrastive Learning","date":"2022-11-21","arxiv_id":"2211.11530","n_code_links":0,"syntology":null},{"paper":null,"slug":"tcbert-a-technical-report-for-chinese-topic","title":"TCBERT: A Technical Report for Chinese Topic Classification BERT","date":"2022-11-21","arxiv_id":"2211.11304","n_code_links":0,"syntology":null},{"paper":"/paper/unimse-towards-unified-multimodal-sentiment","slug":"unimse-towards-unified-multimodal-sentiment","title":"UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition","date":"2022-11-21","arxiv_id":"2211.11256","n_code_links":1,"syntology":null},{"paper":null,"slug":"auto-focus-contrastive-learning-for-image","title":"Auto-Focus Contrastive Learning for Image Manipulation Detection","date":"2022-11-20","arxiv_id":"2211.10922","n_code_links":0,"syntology":null},{"paper":"/paper/can-single-pass-contrastive-learning-work-for","slug":"can-single-pass-contrastive-learning-work-for","title":"Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph","date":"2022-11-20","arxiv_id":"2211.10890","n_code_links":1,"syntology":null},{"paper":"/paper/coconet-coupled-contrastive-learning-network","slug":"coconet-coupled-contrastive-learning-network","title":"CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image Fusion","date":"2022-11-20","arxiv_id":"2211.10960","n_code_links":1,"syntology":null},{"paper":"/paper/rhco-a-relation-aware-heterogeneous-graph","slug":"rhco-a-relation-aware-heterogeneous-graph","title":"RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs","date":"2022-11-20","arxiv_id":"2211.11752","n_code_links":1,"syntology":null},{"paper":null,"slug":"towards-generalizable-graph-contrastive","title":"Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective","date":"2022-11-20","arxiv_id":"2211.10929","n_code_links":0,"syntology":null},{"paper":null,"slug":"relational-symmetry-based-knowledge-graph","title":"Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure","date":"2022-11-19","arxiv_id":"2211.10738","n_code_links":0,"syntology":null},{"paper":"/paper/contrastive-knowledge-graph-error-detection","slug":"contrastive-knowledge-graph-error-detection","title":"Contrastive Knowledge Graph Error Detection","date":"2022-11-18","arxiv_id":"2211.10030","n_code_links":1,"syntology":null},{"paper":"/paper/contrastive-positive-sample-propagation-along","slug":"contrastive-positive-sample-propagation-along","title":"Contrastive Positive Sample Propagation along the Audio-Visual Event Line","date":"2022-11-18","arxiv_id":"2211.09980","n_code_links":1,"syntology":null},{"paper":null,"slug":"improving-pixel-level-contrastive-learning-by","title":"Improving Pixel-Level Contrastive Learning by Leveraging Exogenous Depth Information","date":"2022-11-18","arxiv_id":"2211.10177","n_code_links":0,"syntology":null},{"paper":null,"slug":"fedsiam-da-dual-aggregated-federated-learning","title":"FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under Non-IID Data","date":"2022-11-17","arxiv_id":"2211.09421","n_code_links":0,"syntology":null},{"paper":null,"slug":"self-supervised-visual-representation-3","title":"Self-Supervised Visual Representation Learning via Residual Momentum","date":"2022-11-17","arxiv_id":"2211.09861","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-efficient-coarse-to-fine-alignment","title":"An Efficient COarse-to-fiNE Alignment Framework @ Ego4D Natural Language Queries Challenge 2022","date":"2022-11-16","arxiv_id":"2211.08776","n_code_links":0,"syntology":null},{"paper":"/paper/fair-contrastive-pre-training-for-geographic","slug":"fair-contrastive-pre-training-for-geographic","title":"Mitigating Urban-Rural Disparities in Contrastive Representation Learning with Satellite Imagery","date":"2022-11-16","arxiv_id":"2211.08672","n_code_links":1,"syntology":null},{"paper":null,"slug":"keep-your-friends-close-enemies-farther","title":"Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images","date":"2022-11-16","arxiv_id":"2211.08643","n_code_links":0,"syntology":null},{"paper":null,"slug":"deeprgvp-a-novel-microstructure-informed","title":"DeepRGVP: A Novel Microstructure-Informed Supervised Contrastive Learning Framework for Automated Identification Of The Retinogeniculate Pathway Using dMRI Tractography","date":"2022-11-15","arxiv_id":"2211.08119","n_code_links":0,"syntology":null},{"paper":"/paper/exploiting-contrastive-learning-and-numerical","slug":"exploiting-contrastive-learning-and-numerical","title":"Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction","date":"2022-11-15","arxiv_id":"2211.08238","n_code_links":1,"syntology":null},{"paper":"/paper/false-false-negative-samples-aware","slug":"false-false-negative-samples-aware","title":"False: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing Image","date":"2022-11-15","arxiv_id":"2211.07928","n_code_links":2,"syntology":null},{"paper":null,"slug":"improved-disentangled-speech-representations","title":"Improved disentangled speech representations using contrastive learning in factorized hierarchical variational autoencoder","date":"2022-11-15","arxiv_id":"2211.08191","n_code_links":0,"syntology":null},{"paper":"/paper/region-embedding-with-intra-and-inter-view","slug":"region-embedding-with-intra-and-inter-view","title":"Region Embedding with Intra and Inter-View Contrastive Learning","date":"2022-11-15","arxiv_id":"2211.08975","n_code_links":1,"syntology":null},{"paper":null,"slug":"unsupervised-feature-clustering-improves","title":"Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation","date":"2022-11-15","arxiv_id":"2211.08557","n_code_links":0,"syntology":null},{"paper":"/paper/unveiling-interpretable-development-specific","slug":"unveiling-interpretable-development-specific","title":"Unveiling interpretable development-specific gene signatures in the developing human prefrontal cortex with ICGS","date":"2022-11-15","arxiv_id":"2211.08096","n_code_links":1,"syntology":null},{"paper":null,"slug":"contextclip-contextual-alignment-of-image","title":"ContextCLIP: Contextual Alignment of Image-Text pairs on CLIP visual representations","date":"2022-11-14","arxiv_id":"2211.07122","n_code_links":0,"syntology":null},{"paper":"/paper/contrastive-learning-for-regression-in-multi","slug":"contrastive-learning-for-regression-in-multi","title":"Contrastive learning for regression in multi-site brain age prediction","date":"2022-11-14","arxiv_id":"2211.08326","n_code_links":1,"syntology":{"ran":6,"of":6,"n_ran_checked":4,"n_instrument":2,"unverified":0,"pointer_only":2,"phrase":"6 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; 2 where Syntology's instrument failed) · 0 unverified","official":null}},{"paper":"/paper/generative-aspect-based-sentiment-analysis","slug":"generative-aspect-based-sentiment-analysis","title":"Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure","date":"2022-11-14","arxiv_id":"2211.07743","n_code_links":1,"syntology":null},{"paper":"/paper/imagination-is-all-you-need-curved","slug":"imagination-is-all-you-need-curved","title":"Imagination is All You Need! Curved Contrastive Learning for Abstract Sequence Modeling Utilized on Long Short-Term Dialogue Planning","date":"2022-11-14","arxiv_id":"2211.07591","n_code_links":1,"syntology":null},{"paper":null,"slug":"information-guided-pixel-augmentation-for","title":"Information-guided pixel augmentation for pixel-wise contrastive learning","date":"2022-11-14","arxiv_id":"2211.07118","n_code_links":0,"syntology":null},{"paper":"/paper/rankcse-unsupervised-representation-learning","slug":"rankcse-unsupervised-representation-learning","title":"RankCSE: Unsupervised Representation Learning via Learning to Rank","date":"2022-11-14","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"the-role-of-local-alignment-and-uniformity-in","title":"The Role of Local Alignment and Uniformity in Image-Text Contrastive Learning on Medical Images","date":"2022-11-14","arxiv_id":"2211.07254","n_code_links":0,"syntology":null},{"paper":null,"slug":"tridonet-a-triple-domain-model-driven-network","title":"TriDoNet: A Triple Domain Model-driven Network for CT Metal Artifact Reduction","date":"2022-11-14","arxiv_id":"2211.07190","n_code_links":0,"syntology":null},{"paper":null,"slug":"generalization-beyond-feature-alignment","title":"Generalization Beyond Feature Alignment: Concept Activation-Guided Contrastive Learning","date":"2022-11-13","arxiv_id":"2211.06843","n_code_links":0,"syntology":null},{"paper":null,"slug":"scotch-and-soda-a-transformer-video-shadow","title":"SCOTCH and SODA: A Transformer Video Shadow Detection Framework","date":"2022-11-13","arxiv_id":"2211.06885","n_code_links":0,"syntology":null},{"paper":null,"slug":"3d-aware-encoding-for-style-based-neural","title":"3D-Aware Encoding for Style-based Neural Radiance Fields","date":"2022-11-12","arxiv_id":"2211.06583","n_code_links":0,"syntology":null},{"paper":"/paper/divide-and-contrast-source-free-domain","slug":"divide-and-contrast-source-free-domain","title":"Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning","date":"2022-11-12","arxiv_id":"2211.06612","n_code_links":2,"syntology":{"ran":7,"of":18,"n_ran_checked":5,"n_instrument":2,"unverified":11,"pointer_only":15,"phrase":"7 ran (of which 3 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 2 where Syntology's instrument failed) · 11 unverified","official":{"repos":["zyezhang/dac"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":3,"n_ran_no_instrument_failure":5,"n_unverified":8,"ran_from_kinds":["official"]}}},{"paper":"/paper/self-supervised-graph-structure-refinement","slug":"self-supervised-graph-structure-refinement","title":"Self-Supervised Graph Structure Refinement for Graph Neural Networks","date":"2022-11-12","arxiv_id":"2211.06545","n_code_links":1,"syntology":null},{"paper":null,"slug":"cross-platform-and-cross-domain-abusive","title":"Cross-Platform and Cross-Domain Abusive Language Detection with Supervised Contrastive Learning","date":"2022-11-11","arxiv_id":"2211.06452","n_code_links":0,"syntology":null},{"paper":"/paper/english-contrastive-learning-can-learn","slug":"english-contrastive-learning-can-learn","title":"English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings","date":"2022-11-11","arxiv_id":"2211.06127","n_code_links":1,"syntology":{"ran":8,"of":10,"n_ran_checked":6,"n_instrument":2,"unverified":2,"pointer_only":5,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 1 violated, 5 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified","official":{"repos":["yaushian/msimcse"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"masked-contrastive-representation-learning-1","title":"Masked Contrastive Representation Learning","date":"2022-11-11","arxiv_id":"2211.06012","n_code_links":0,"syntology":null},{"paper":null,"slug":"more-generalized-and-personalized","title":"Federated Unsupervised Visual Representation Learning via Exploiting General Content and Personal Style","date":"2022-11-11","arxiv_id":"2211.06470","n_code_links":0,"syntology":null},{"paper":null,"slug":"contrastive-learning-for-climate-model-bias","title":"Contrastive Learning for Climate Model Bias Correction and Super-Resolution","date":"2022-11-10","arxiv_id":"2211.07555","n_code_links":0,"syntology":null},{"paper":"/paper/equivariant-contrastive-learning-for","slug":"equivariant-contrastive-learning-for","title":"Equivariant Contrastive Learning for Sequential Recommendation","date":"2022-11-10","arxiv_id":"2211.05290","n_code_links":1,"syntology":null},{"paper":null,"slug":"mitigating-forgetting-in-online-continual-3","title":"Mitigating Forgetting in Online Continual Learning via Contrasting Semantically Distinct Augmentations","date":"2022-11-10","arxiv_id":"2211.05347","n_code_links":0,"syntology":null},{"paper":"/paper/self-supervised-learning-of-audio-2","slug":"self-supervised-learning-of-audio-2","title":"Self-supervised learning of audio representations using angular contrastive loss","date":"2022-11-10","arxiv_id":"2211.05442","n_code_links":1,"syntology":null},{"paper":null,"slug":"clinical-contrastive-learning-for-biomarker","title":"Clinical Contrastive Learning for Biomarker Detection","date":"2022-11-09","arxiv_id":"2211.05092","n_code_links":0,"syntology":null},{"paper":null,"slug":"combining-contrastive-learning-and-knowledge","title":"Combining Contrastive Learning and Knowledge Graph Embeddings to develop medical word embeddings for the Italian language","date":"2022-11-09","arxiv_id":"2211.05035","n_code_links":0,"syntology":null},{"paper":"/paper/ernie-unix2-a-unified-cross-lingual-cross","slug":"ernie-unix2-a-unified-cross-lingual-cross","title":"ERNIE-UniX2: A Unified Cross-lingual Cross-modal Framework for Understanding and Generation","date":"2022-11-09","arxiv_id":"2211.04861","n_code_links":0,"syntology":null},{"paper":"/paper/micse-mutual-information-contrastive-learning","slug":"micse-mutual-information-contrastive-learning","title":"miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings","date":"2022-11-09","arxiv_id":"2211.04928","n_code_links":2,"syntology":null},{"paper":"/paper/alleviating-sparsity-of-open-knowledge-graphs","slug":"alleviating-sparsity-of-open-knowledge-graphs","title":"Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning","date":"2022-11-08","arxiv_id":"2211.03950","n_code_links":1,"syntology":null},{"paper":null,"slug":"cross-view-graph-contrastive-representation","title":"Cross-view Graph Contrastive Representation Learning on Partially Aligned Multi-view Data","date":"2022-11-08","arxiv_id":"2211.04906","n_code_links":0,"syntology":null},{"paper":null,"slug":"enhanced-low-resolution-lidar-camera","title":"Enhanced Low-resolution LiDAR-Camera Calibration Via Depth Interpolation and Supervised Contrastive Learning","date":"2022-11-08","arxiv_id":"2211.03932","n_code_links":0,"syntology":null},{"paper":"/paper/good-d-on-unsupervised-graph-out-of","slug":"good-d-on-unsupervised-graph-out-of","title":"GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection","date":"2022-11-08","arxiv_id":"2211.04208","n_code_links":1,"syntology":null},{"paper":null,"slug":"on-negative-sampling-for-contrastive-audio","title":"On Negative Sampling for Contrastive Audio-Text Retrieval","date":"2022-11-08","arxiv_id":"2211.04070","n_code_links":0,"syntology":null},{"paper":"/paper/adaptive-contrastive-learning-on-multimodal","slug":"adaptive-contrastive-learning-on-multimodal","title":"Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions","date":"2022-11-07","arxiv_id":"2211.03524","n_code_links":1,"syntology":null},{"paper":"/paper/black-box-attack-against-gan-generated-image","slug":"black-box-attack-against-gan-generated-image","title":"Black-Box Attack against GAN-Generated Image Detector with Contrastive Perturbation","date":"2022-11-07","arxiv_id":"2211.03509","n_code_links":1,"syntology":null},{"paper":null,"slug":"clop-video-and-language-pre-training-with","title":"CLOP: Video-and-Language Pre-Training with Knowledge Regularizations","date":"2022-11-07","arxiv_id":"2211.03314","n_code_links":0,"syntology":null},{"paper":null,"slug":"contrastive-classification-and-representation","title":"Contrastive Classification and Representation Learning with Probabilistic Interpretation","date":"2022-11-07","arxiv_id":"2211.03646","n_code_links":0,"syntology":null},{"paper":"/paper/contrastive-learning-enhanced-author-style","slug":"contrastive-learning-enhanced-author-style","title":"Contrastive Learning enhanced Author-Style Headline Generation","date":"2022-11-07","arxiv_id":"2211.03305","n_code_links":1,"syntology":null},{"paper":null,"slug":"contrastive-learning-with-prompt-derived","title":"Contrastive Learning with Prompt-derived Virtual Semantic Prototypes for Unsupervised Sentence Embedding","date":"2022-11-07","arxiv_id":"2211.03348","n_code_links":0,"syntology":null},{"paper":null,"slug":"cronos-colorization-and-contrastive-learning","title":"CRONOS: Colorization and Contrastive Learning for Device-Free NLoS Human Presence Detection using Wi-Fi CSI","date":"2022-11-07","arxiv_id":"2211.10354","n_code_links":0,"syntology":null},{"paper":"/paper/graph-contrastive-learning-with-implicit","slug":"graph-contrastive-learning-with-implicit","title":"Graph Contrastive Learning with Implicit Augmentations","date":"2022-11-07","arxiv_id":"2211.03710","n_code_links":1,"syntology":null},{"paper":"/paper/protox-explaining-a-reinforcement-learning","slug":"protox-explaining-a-reinforcement-learning","title":"ProtoX: Explaining a Reinforcement Learning Agent via Prototyping","date":"2022-11-06","arxiv_id":"2211.03162","n_code_links":2,"syntology":null},{"paper":null,"slug":"understanding-the-properties-and-limitations","title":"Understanding the properties and limitations of contrastive learning for Out-of-Distribution detection","date":"2022-11-06","arxiv_id":"2211.03183","n_code_links":0,"syntology":null},{"paper":null,"slug":"contrastive-learning-for-diverse-disentangled","title":"Contrastive Learning for Diverse Disentangled Foreground Generation","date":"2022-11-04","arxiv_id":"2211.02707","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-3d-shape-similarity-based-contrastive","title":"A 3D-Shape Similarity-based Contrastive Approach to Molecular Representation Learning","date":"2022-11-03","arxiv_id":"2211.02130","n_code_links":0,"syntology":null},{"paper":"/paper/embed-and-emulate-learning-to-estimate","slug":"embed-and-emulate-learning-to-estimate","title":"Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification","date":"2022-11-03","arxiv_id":"2211.01554","n_code_links":1,"syntology":{"ran":4,"of":6,"n_ran_checked":1,"n_instrument":3,"unverified":2,"pointer_only":6,"phrase":"4 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified","official":{"repos":["roxie62/embed-and-emulate"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"latent-prompt-tuning-for-text-summarization","title":"Latent Prompt Tuning for Text Summarization","date":"2022-11-03","arxiv_id":"2211.01837","n_code_links":0,"syntology":null},{"paper":null,"slug":"marginnce-robust-sound-localization-with-a","title":"MarginNCE: Robust Sound Localization with a Negative Margin","date":"2022-11-03","arxiv_id":"2211.01966","n_code_links":0,"syntology":null},{"paper":null,"slug":"scaling-multimodal-pre-training-via-cross","title":"Scaling Multimodal Pre-Training via Cross-Modality Gradient Harmonization","date":"2022-11-03","arxiv_id":"2211.02077","n_code_links":0,"syntology":null},{"paper":"/paper/chinese-clip-contrastive-vision-language","slug":"chinese-clip-contrastive-vision-language","title":"Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese","date":"2022-11-02","arxiv_id":"2211.01335","n_code_links":1,"syntology":{"ran":7,"of":7,"n_ran_checked":5,"n_instrument":2,"unverified":0,"pointer_only":3,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 2 honoured, 0 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["ofa-sys/chinese-clip"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"joint-data-and-feature-augmentation-for-self","title":"Joint Data and Feature Augmentation for Self-Supervised Representation Learning on Point Clouds","date":"2022-11-02","arxiv_id":"2211.01184","n_code_links":0,"syntology":null},{"paper":null,"slug":"on-the-informativeness-of-supervision-signals","title":"On the Informativeness of Supervision Signals","date":"2022-11-02","arxiv_id":"2211.01407","n_code_links":0,"syntology":null},{"paper":"/paper/slicer-learning-universal-audio","slug":"slicer-learning-universal-audio","title":"SLICER: Learning universal audio representations using low-resource self-supervised pre-training","date":"2022-11-02","arxiv_id":"2211.01519","n_code_links":1,"syntology":null},{"paper":null,"slug":"unsupervised-deraining-where-asymmetric","title":"Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-similarity","date":"2022-11-02","arxiv_id":"2211.00837","n_code_links":0,"syntology":null},{"paper":"/paper/invariant-and-consistent-unsupervised","slug":"invariant-and-consistent-unsupervised","title":"Invariant and consistent: Unsupervised representation learning for few-shot visual recognition","date":"2022-11-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/a-picture-of-the-space-of-typical-learnable","slug":"a-picture-of-the-space-of-typical-learnable","title":"A picture of the space of typical learnable tasks","date":"2022-10-31","arxiv_id":"2210.17011","n_code_links":2,"syntology":null},{"paper":null,"slug":"sdcl-self-distillation-contrastive-learning","title":"SDCL: Self-Distillation Contrastive Learning for Chinese Spell Checking","date":"2022-10-31","arxiv_id":"2210.17168","n_code_links":0,"syntology":null},{"paper":"/paper/a-simple-efficient-and-scalable-contrastive","slug":"a-simple-efficient-and-scalable-contrastive","title":"A simple, efficient and scalable contrastive masked autoencoder for learning visual representations","date":"2022-10-30","arxiv_id":"2210.16870","n_code_links":1,"syntology":{"ran":5,"of":7,"n_ran_checked":5,"n_instrument":0,"unverified":2,"pointer_only":2,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":null}},{"paper":null,"slug":"adaptive-speech-quality-aware-complex-neural","title":"Adaptive Speech Quality Aware Complex Neural Network for Acoustic Echo Cancellation with Supervised Contrastive Learning","date":"2022-10-30","arxiv_id":"2210.16791","n_code_links":0,"syntology":null},{"paper":null,"slug":"image-free-domain-generalization-via-clip-for","title":"Image-free Domain Generalization via CLIP for 3D Hand Pose Estimation","date":"2022-10-30","arxiv_id":"2210.16788","n_code_links":0,"syntology":null},{"paper":"/paper/differentiable-data-augmentation-for","slug":"differentiable-data-augmentation-for","title":"Differentiable Data Augmentation for Contrastive Sentence Representation Learning","date":"2022-10-29","arxiv_id":"2210.16536","n_code_links":1,"syntology":{"ran":2,"of":3,"n_ran_checked":0,"n_instrument":2,"unverified":1,"pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["tianduowang/diffaug"],"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"]}}},{"paper":null,"slug":"discriminative-speaker-representation-via","title":"Discriminative Speaker Representation via Contrastive Learning with Class-Aware Attention in Angular Space","date":"2022-10-29","arxiv_id":"2210.16622","n_code_links":0,"syntology":null},{"paper":"/paper/rare-wildlife-recognition-with-self","slug":"rare-wildlife-recognition-with-self","title":"Rare Wildlife Recognition with Self-Supervised Representation Learning","date":"2022-10-29","arxiv_id":"2211.05636","n_code_links":1,"syntology":null},{"paper":"/paper/speaker-representation-learning-via","slug":"speaker-representation-learning-via","title":"Speaker Representation Learning via Contrastive Loss with Maximal Speaker Separability","date":"2022-10-29","arxiv_id":"2210.16636","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["shanmon110/aamsupcon"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/credanno-annotation-exploitation-in-self","slug":"credanno-annotation-exploitation-in-self","title":"cRedAnno+: Annotation Exploitation in Self-Explanatory Lung Nodule Diagnosis","date":"2022-10-28","arxiv_id":"2210.16097","n_code_links":2,"syntology":null},{"paper":null,"slug":"improving-the-modality-representation-with","title":"Improving the Modality Representation with Multi-View Contrastive Learning for Multimodal Sentiment Analysis","date":"2022-10-28","arxiv_id":"2210.15824","n_code_links":0,"syntology":null},{"paper":"/paper/vlt-vision-language-transformer-and-query","slug":"vlt-vision-language-transformer-and-query","title":"VLT: Vision-Language Transformer and Query Generation for Referring Segmentation","date":"2022-10-28","arxiv_id":"2210.15871","n_code_links":1,"syntology":{"ran":3,"of":6,"n_ran_checked":3,"n_instrument":0,"unverified":3,"pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","official":{"repos":["henghuiding/Vision-Language-Transformer"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/dial2vec-self-guided-contrastive-learning-of","slug":"dial2vec-self-guided-contrastive-learning-of","title":"Dial2vec: Self-Guided Contrastive Learning of Unsupervised Dialogue Embeddings","date":"2022-10-27","arxiv_id":"2210.15332","n_code_links":1,"syntology":{"ran":7,"of":11,"n_ran_checked":7,"n_instrument":0,"unverified":4,"pointer_only":0,"phrase":"7 ran (of which 3 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","official":{"repos":["alibabaresearch/damo-convai"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":3,"n_ran_no_instrument_failure":7,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/dictionary-assisted-supervised-contrastive","slug":"dictionary-assisted-supervised-contrastive","title":"Dictionary-Assisted Supervised Contrastive Learning","date":"2022-10-27","arxiv_id":"2210.15172","n_code_links":1,"syntology":null},{"paper":null,"slug":"multi-view-contrastive-learning-with-additive","title":"Multi-view Contrastive Learning with Additive Margin for Adaptive Nasopharyngeal Carcinoma Radiotherapy Prediction","date":"2022-10-27","arxiv_id":"2210.15201","n_code_links":0,"syntology":null},{"paper":"/paper/robust-data2vec-noise-robust-speech","slug":"robust-data2vec-noise-robust-speech","title":"Robust Data2vec: Noise-robust Speech Representation Learning for ASR by Combining Regression and Improved Contrastive Learning","date":"2022-10-27","arxiv_id":"2210.15324","n_code_links":1,"syntology":null}],"record_sha256":"7404fcb8e8e2759f97ddc2043da2cde72cd259af4c8d0a351f049c31ce8f6e7e","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}