{"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/infonce/papers/4","list_of":"/method/infonce","method":"InfoNCE","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":4,"pages_in_order":5,"rows_per_page":100,"rows":[301,400],"of":418,"counts":{"archive_papers_tagged":418,"with_a_code_link":217,"where_syntology_ran_a_sample":89,"not_listed_spam_title":0,"listed":418,"listed_where_code_ran":89,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":72,"every_run_a_failure_of_syntologys_instrument":17,"listed_with_a_run_with_no_instrument_failure":72,"listed_every_run_a_failure_of_syntologys_instrument":17,"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/infonce","prev":"/method/infonce/papers/3","next":"/method/infonce/papers/5","papers":[{"paper":null,"slug":"aligning-cross-lingual-sentence","title":"Aligning Cross-lingual Sentence Representations with Dual Momentum Contrast","date":"2021-09-01","arxiv_id":"2109.00253","n_code_links":0,"syntology":null},{"paper":"/paper/memory-augmented-multi-instance-contrastive","slug":"memory-augmented-multi-instance-contrastive","title":"Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation","date":"2021-09-01","arxiv_id":"2109.00368","n_code_links":2,"syntology":null},{"paper":"/paper/multisiam-self-supervised-multi-instance","slug":"multisiam-self-supervised-multi-instance","title":"MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving","date":"2021-08-27","arxiv_id":"2108.12178","n_code_links":1,"syntology":null},{"paper":null,"slug":"uncertainties-and-output-feedback-in-rollout","title":"Uncertainties and output feedback in rollout event-triggered control","date":"2021-08-20","arxiv_id":"2108.09125","n_code_links":0,"syntology":null},{"paper":null,"slug":"batch-curation-for-unsupervised-contrastive","title":"Batch Curation for Unsupervised Contrastive Representation Learning","date":"2021-08-19","arxiv_id":"2108.08643","n_code_links":0,"syntology":null},{"paper":null,"slug":"self-supervised-visual-representations","title":"Self-Supervised Visual Representations Learning by Contrastive Mask Prediction","date":"2021-08-18","arxiv_id":"2108.07954","n_code_links":0,"syntology":null},{"paper":"/paper/self-supervised-pretraining-and-controlled","slug":"self-supervised-pretraining-and-controlled","title":"Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images","date":"2021-08-17","arxiv_id":"2108.07582","n_code_links":1,"syntology":null},{"paper":"/paper/improving-contrastive-learning-by-visualizing","slug":"improving-contrastive-learning-by-visualizing","title":"Improving Contrastive Learning by Visualizing Feature Transformation","date":"2021-08-06","arxiv_id":"2108.02982","n_code_links":1,"syntology":{"ran":0,"of":2,"n_ran_checked":0,"n_instrument":0,"unverified":2,"pointer_only":2,"phrase":"0 ran · 2 unverified","official":{"repos":["DTennant/CL-Visualizing-Feature-Transformation"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":[]}}},{"paper":null,"slug":"rollout-event-triggered-control-reconciling","title":"Rollout event-triggered control: reconciling event- and time-triggered control","date":"2021-08-06","arxiv_id":"2108.02994","n_code_links":0,"syntology":null},{"paper":null,"slug":"xmoco-cross-momentum-contrastive-learning-for","title":"xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering","date":"2021-08-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"debiasing-samples-from-online-learning-using","title":"Debiasing Samples from Online Learning Using Bootstrap","date":"2021-07-31","arxiv_id":"2108.00236","n_code_links":0,"syntology":null},{"paper":"/paper/triplet-is-all-you-need-with-random-mappings","slug":"triplet-is-all-you-need-with-random-mappings","title":"Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings","date":"2021-07-22","arxiv_id":"2107.10419","n_code_links":1,"syntology":null},{"paper":null,"slug":"contrastive-predictive-coding-for-anomaly","title":"Contrastive Predictive Coding for Anomaly Detection","date":"2021-07-16","arxiv_id":"2107.07820","n_code_links":0,"syntology":null},{"paper":null,"slug":"model-selection-for-generic-contextual","title":"Model Selection for Generic Contextual Bandits","date":"2021-07-07","arxiv_id":"2107.03455","n_code_links":0,"syntology":null},{"paper":null,"slug":"infonce-is-a-variational-autoencoder","title":"InfoNCE is variational inference in a recognition parameterised model","date":"2021-07-06","arxiv_id":"2107.02495","n_code_links":0,"syntology":null},{"paper":"/paper/simpler-faster-stronger-breaking-the-log-k","slug":"simpler-faster-stronger-breaking-the-log-k","title":"Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE","date":"2021-07-02","arxiv_id":"2107.01152","n_code_links":1,"syntology":null},{"paper":"/paper/tight-mutual-information-estimation-with","slug":"tight-mutual-information-estimation-with","title":"Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization","date":"2021-07-02","arxiv_id":"2107.01131","n_code_links":1,"syntology":null},{"paper":null,"slug":"understanding-cognitive-fatigue-from-fmri","title":"Understanding Cognitive Fatigue from fMRI Scans with Self-supervised Learning","date":"2021-06-28","arxiv_id":"2106.15009","n_code_links":0,"syntology":null},{"paper":"/paper/contrastive-learning-with-continuous-proxy","slug":"contrastive-learning-with-continuous-proxy","title":"Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification","date":"2021-06-16","arxiv_id":"2106.08808","n_code_links":2,"syntology":null},{"paper":"/paper/contrastive-reinforcement-learning-of","slug":"contrastive-reinforcement-learning-of","title":"Contrastive Reinforcement Learning of Symbolic Reasoning Domains","date":"2021-06-16","arxiv_id":"2106.09146","n_code_links":2,"syntology":{"ran":4,"of":15,"n_ran_checked":3,"n_instrument":1,"unverified":11,"pointer_only":15,"phrase":"4 ran (of which 1 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 11 unverified","official":{"repos":["gpoesia/socratic-tutor"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":11,"ran_from_kinds":["listed","official"]}}},{"paper":"/paper/self-supervised-learning-with-kernel","slug":"self-supervised-learning-with-kernel","title":"Self-Supervised Learning with Kernel Dependence Maximization","date":"2021-06-15","arxiv_id":"2106.08320","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 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) · 1 unverified","official":{"repos":["deepmind/ssl_hsic"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/revisiting-contrastive-methods-for","slug":"revisiting-contrastive-methods-for","title":"Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations","date":"2021-06-10","arxiv_id":"2106.05967","n_code_links":2,"syntology":null},{"paper":null,"slug":"conditional-contrastive-learning-removing","title":"Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning","date":"2021-06-05","arxiv_id":"2106.02866","n_code_links":0,"syntology":null},{"paper":null,"slug":"integrating-auxiliary-information-in-self","title":"Integrating Auxiliary Information in Self-supervised Learning","date":"2021-06-05","arxiv_id":"2106.02869","n_code_links":0,"syntology":null},{"paper":null,"slug":"segmental-contrastive-predictive-coding-for","title":"Segmental Contrastive Predictive Coding for Unsupervised Word Segmentation","date":"2021-06-03","arxiv_id":"2106.02170","n_code_links":0,"syntology":null},{"paper":null,"slug":"rethinking-infonce-how-many-negative-samples","title":"Rethinking InfoNCE: How Many Negative Samples Do You Need?","date":"2021-05-27","arxiv_id":"2105.13003","n_code_links":0,"syntology":null},{"paper":"/paper/backdoor-attacks-on-self-supervised-learning","slug":"backdoor-attacks-on-self-supervised-learning","title":"Backdoor Attacks on Self-Supervised Learning","date":"2021-05-21","arxiv_id":"2105.10123","n_code_links":2,"syntology":{"ran":11,"of":13,"n_ran_checked":5,"n_instrument":6,"unverified":2,"pointer_only":8,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 0 violated, 4 with no contract checked; 6 where Syntology's instrument failed) · 2 unverified","official":{"repos":["UMBCvision/SSL-Backdoor"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":2,"ran_from_kinds":["listed","official"]}}},{"paper":"/paper/unsupervised-representation-learning-from","slug":"unsupervised-representation-learning-from","title":"Unsupervised Representation Learning from Pathology Images with Multi-directional Contrastive Predictive Coding","date":"2021-05-11","arxiv_id":"2105.05345","n_code_links":1,"syntology":null},{"paper":"/paper/self-supervised-learning-with-swin","slug":"self-supervised-learning-with-swin","title":"Self-Supervised Learning with Swin Transformers","date":"2021-05-10","arxiv_id":"2105.04553","n_code_links":6,"syntology":null},{"paper":null,"slug":"voice-conversion-based-speaker-normalization","title":"Voice Conversion Based Speaker Normalization for Acoustic Unit Discovery","date":"2021-05-04","arxiv_id":"2105.01786","n_code_links":0,"syntology":null},{"paper":"/paper/vqcpc-gan-variable-length-adversarial-audio","slug":"vqcpc-gan-variable-length-adversarial-audio","title":"VQCPC-GAN: Variable-Length Adversarial Audio Synthesis Using Vector-Quantized Contrastive Predictive Coding","date":"2021-05-04","arxiv_id":"2105.01531","n_code_links":1,"syntology":null},{"paper":null,"slug":"the-interspeech-zero-resource-speech","title":"The Zero Resource Speech Challenge 2021: Spoken language modelling","date":"2021-04-29","arxiv_id":"2104.14700","n_code_links":0,"syntology":null},{"paper":"/paper/mdetr-modulated-detection-for-end-to-end","slug":"mdetr-modulated-detection-for-end-to-end","title":"MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding","date":"2021-04-26","arxiv_id":"2104.12763","n_code_links":5,"syntology":{"ran":7,"of":11,"n_ran_checked":6,"n_instrument":1,"unverified":4,"pointer_only":0,"phrase":"7 ran (of which 4 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 1 violated, 5 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified","official":{"repos":["ashkamath/mdetr"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"paper":"/paper/aligned-contrastive-predictive-coding","slug":"aligned-contrastive-predictive-coding","title":"Aligned Contrastive Predictive Coding","date":"2021-04-24","arxiv_id":"2104.11946","n_code_links":1,"syntology":{"ran":1,"of":2,"n_ran_checked":1,"n_instrument":0,"unverified":1,"pointer_only":2,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["chorowski-lab/CPC_audio"],"state":"official: no sample here; runs from other or unrecorded repositories","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["unlocated"]}}},{"paper":null,"slug":"noisevc-towards-high-quality-zero-shot-voice","title":"NoiseVC: Towards High Quality Zero-Shot Voice Conversion","date":"2021-04-13","arxiv_id":"2104.06074","n_code_links":0,"syntology":null},{"paper":"/paper/an-empirical-study-of-training-self","slug":"an-empirical-study-of-training-self","title":"An Empirical Study of Training Self-Supervised Vision Transformers","date":"2021-04-05","arxiv_id":"2104.02057","n_code_links":9,"syntology":{"ran":2,"of":2,"n_ran_checked":0,"n_instrument":2,"unverified":0,"pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["facebookresearch/moco-v3"],"state":"official: no sample here; runs from other or unrecorded repositories","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed","unlocated"]}}},{"paper":"/paper/jigsaw-clustering-for-unsupervised-visual","slug":"jigsaw-clustering-for-unsupervised-visual","title":"Jigsaw Clustering for Unsupervised Visual Representation Learning","date":"2021-04-01","arxiv_id":"2104.00323","n_code_links":1,"syntology":null},{"paper":null,"slug":"classification-of-seeds-using-domain","title":"Classification of Seeds using Domain Randomization on Self-Supervised Learning Frameworks","date":"2021-03-29","arxiv_id":"2103.15578","n_code_links":0,"syntology":null},{"paper":null,"slug":"hit-hierarchical-transformer-with-momentum","title":"HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval","date":"2021-03-28","arxiv_id":"2103.15049","n_code_links":0,"syntology":null},{"paper":null,"slug":"abstracting-the-sampling-behaviour-of","title":"Abstracting the Sampling Behaviour of Stochastic Linear Periodic Event-Triggered Control Systems","date":"2021-03-25","arxiv_id":"2103.13839","n_code_links":0,"syntology":null},{"paper":"/paper/unimoco-unsupervised-semi-supervised-and-full","slug":"unimoco-unsupervised-semi-supervised-and-full","title":"UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning","date":"2021-03-19","arxiv_id":"2103.10773","n_code_links":1,"syntology":null},{"paper":"/paper/wenlan-bridging-vision-and-language-by-large","slug":"wenlan-bridging-vision-and-language-by-large","title":"WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training","date":"2021-03-11","arxiv_id":"2103.06561","n_code_links":2,"syntology":null},{"paper":"/paper/videomoco-contrastive-video-representation","slug":"videomoco-contrastive-video-representation","title":"VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples","date":"2021-03-10","arxiv_id":"2103.05905","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 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; the one sample that ran constructed an object rather than computing a result","official":{"repos":["tinapan-pt/VideoMoCo"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"unsupervised-pretraining-for-object-detection","title":"Deeply Unsupervised Patch Re-Identification for Pre-training Object Detectors","date":"2021-03-08","arxiv_id":"2103.04814","n_code_links":0,"syntology":null},{"paper":"/paper/self-supervised-pretraining-of-visual","slug":"self-supervised-pretraining-of-visual","title":"Self-supervised Pretraining of Visual Features in the Wild","date":"2021-03-02","arxiv_id":"2103.01988","n_code_links":1,"syntology":null},{"paper":"/paper/contrastive-learning-inverts-the-data","slug":"contrastive-learning-inverts-the-data","title":"Contrastive Learning Inverts the Data Generating Process","date":"2021-02-17","arxiv_id":"2102.08850","n_code_links":1,"syntology":{"ran":1,"of":2,"n_ran_checked":1,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["brendel-group/cl-ica"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/contrastive-unsupervised-learning-for-speech","slug":"contrastive-unsupervised-learning-for-speech","title":"Contrastive Unsupervised Learning for Speech Emotion Recognition","date":"2021-02-12","arxiv_id":"2102.06357","n_code_links":0,"syntology":null},{"paper":null,"slug":"revisiting-contrastive-learning-for-few-shot","title":"Supervised Momentum Contrastive Learning for Few-Shot Classification","date":"2021-01-26","arxiv_id":"2101.11058","n_code_links":0,"syntology":null},{"paper":null,"slug":"the-wireless-control-bus-enabling-efficient","title":"The Wireless Control Bus: Enabling Efficient Multi-hop Event-Triggered Control with Concurrent Transmissions","date":"2021-01-26","arxiv_id":"2101.10961","n_code_links":0,"syntology":null},{"paper":"/paper/seed-self-supervised-distillation-for-visual-1","slug":"seed-self-supervised-distillation-for-visual-1","title":"SEED: Self-supervised Distillation For Visual Representation","date":"2021-01-12","arxiv_id":"2101.04731","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 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; the one sample that ran constructed an object rather than computing a result","official":{"repos":["jacobswan1/SEED"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"consistent-instance-classification-for","title":"Consistent Instance Classification for Unsupervised Representation Learning","date":"2021-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"learning-visual-representation-from-human","title":"Learning Visual Representation from Human Interactions","date":"2021-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"moco-pretraining-improves-representations-and","title":"MoCo-Pretraining Improves Representations and Transferability of Chest X-ray Models","date":"2021-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"novelty-detection-with-rotated-contrastive","title":"Novelty Detection with Rotated Contrastive Predictive Coding","date":"2021-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/informer-transformer-likes-informed-attention","slug":"informer-transformer-likes-informed-attention","title":"RealFormer: Transformer Likes Residual Attention","date":"2020-12-21","arxiv_id":"2012.11747","n_code_links":5,"syntology":null},{"paper":"/paper/social-nce-contrastive-learning-of-socially","slug":"social-nce-contrastive-learning-of-socially","title":"Social NCE: Contrastive Learning of Socially-aware Motion Representations","date":"2020-12-21","arxiv_id":"2012.11717","n_code_links":4,"syntology":{"ran":3,"of":3,"n_ran_checked":0,"n_instrument":3,"unverified":0,"pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","official":{"repos":["vita-epfl/social-nce"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"paper":"/paper/isd-self-supervised-learning-by-iterative","slug":"isd-self-supervised-learning-by-iterative","title":"ISD: Self-Supervised Learning by Iterative Similarity Distillation","date":"2020-12-16","arxiv_id":"2012.09259","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-comparison-of-self-supervised-speech","title":"A comparison of self-supervised speech representations as input features for unsupervised acoustic word embeddings","date":"2020-12-14","arxiv_id":"2012.07387","n_code_links":0,"syntology":null},{"paper":"/paper/self-supervised-text-independent-speaker","slug":"self-supervised-text-independent-speaker","title":"Self-supervised Text-independent Speaker Verification using Prototypical Momentum Contrastive Learning","date":"2020-12-13","arxiv_id":"2012.07178","n_code_links":1,"syntology":null},{"paper":"/paper/the-lottery-tickets-hypothesis-for-supervised","slug":"the-lottery-tickets-hypothesis-for-supervised","title":"The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models","date":"2020-12-12","arxiv_id":"2012.06908","n_code_links":1,"syntology":null},{"paper":"/paper/cem500k-a-large-scale-heterogeneous-unlabeled","slug":"cem500k-a-large-scale-heterogeneous-unlabeled","title":"CEM500K – A large-scale heterogeneous unlabeled cellular electron microscopy image dataset for deep learning","date":"2020-12-11","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"contrastive-predictive-coding-for-human","title":"Contrastive Predictive Coding for Human Activity Recognition","date":"2020-12-09","arxiv_id":"2012.05333","n_code_links":0,"syntology":null},{"paper":null,"slug":"self-supervision-closes-the-gap-between-weak","title":"Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology","date":"2020-12-07","arxiv_id":"2012.03583","n_code_links":0,"syntology":null},{"paper":null,"slug":"hierarchical-semantic-aggregation-for","title":"Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning","date":"2020-12-04","arxiv_id":"2012.02733","n_code_links":0,"syntology":null},{"paper":null,"slug":"unsupervised-anomaly-detection-from-semantic","title":"Unsupervised Anomaly Detection From Semantic Similarity Scores","date":"2020-12-01","arxiv_id":"2012.00461","n_code_links":0,"syntology":null},{"paper":null,"slug":"beyond-single-instance-multi-view","title":"A Unified Mixture-View Framework for Unsupervised Representation Learning","date":"2020-11-26","arxiv_id":"2011.13356","n_code_links":0,"syntology":null},{"paper":"/paper/intriguing-properties-of-contrastive-losses","slug":"intriguing-properties-of-contrastive-losses","title":"Intriguing Properties of Contrastive Losses","date":"2020-11-05","arxiv_id":"2011.02803","n_code_links":3,"syntology":null},{"paper":"/paper/learning-visual-representations-for-transfer-1","slug":"learning-visual-representations-for-transfer-1","title":"Learning Visual Representations for Transfer Learning by Suppressing Texture","date":"2020-11-03","arxiv_id":"2011.01901","n_code_links":1,"syntology":null},{"paper":"/paper/joint-masked-cpc-and-ctc-training-for-asr","slug":"joint-masked-cpc-and-ctc-training-for-asr","title":"Joint Masked CPC and CTC Training for ASR","date":"2020-10-30","arxiv_id":"2011.00093","n_code_links":1,"syntology":null},{"paper":"/paper/improving-perceptual-quality-by-phone","slug":"improving-perceptual-quality-by-phone","title":"Improving Perceptual Quality by Phone-Fortified Perceptual Loss using Wasserstein Distance for Speech Enhancement","date":"2020-10-28","arxiv_id":"2010.15174","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["aleXiehta/PhoneFortifiedPerceptualLoss"],"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":"traffic-abstractions-of-nonlinear-event","title":"Abstracting the Traffic of Nonlinear Event-Triggered Control Systems","date":"2020-10-23","arxiv_id":"2010.12341","n_code_links":0,"syntology":null},{"paper":"/paper/self-supervised-co-training-for-video","slug":"self-supervised-co-training-for-video","title":"Self-supervised Co-training for Video Representation Learning","date":"2020-10-19","arxiv_id":"2010.09709","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["TengdaHan/CoCLR"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/for-self-supervised-learning-rationality-1","slug":"for-self-supervised-learning-rationality-1","title":"For self-supervised learning, Rationality implies generalization, provably","date":"2020-10-16","arxiv_id":"2010.08508","n_code_links":2,"syntology":null},{"paper":"/paper/what-can-you-learn-from-your-muscles-learning","slug":"what-can-you-learn-from-your-muscles-learning","title":"What Can You Learn from Your Muscles? Learning Visual Representation from Human Interactions","date":"2020-10-16","arxiv_id":"2010.08539","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 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; the one sample that ran constructed an object rather than computing a result","official":{"repos":["ehsanik/muscleTorch"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"are-all-negatives-created-equal-in-1","title":"Are all negatives created equal in contrastive instance discrimination?","date":"2020-10-13","arxiv_id":"2010.06682","n_code_links":0,"syntology":null},{"paper":"/paper/moco-pretraining-improves-representation-and","slug":"moco-pretraining-improves-representation-and","title":"MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models","date":"2020-10-11","arxiv_id":"2010.05352","n_code_links":2,"syntology":{"ran":2,"of":7,"n_ran_checked":2,"n_instrument":0,"unverified":5,"pointer_only":1,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified","official":{"repos":["stanfordmlgroup/MoCo-CXR"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["listed"]}}},{"paper":"/paper/eqco-equivalent-rules-for-self-supervised-1","slug":"eqco-equivalent-rules-for-self-supervised-1","title":"EqCo: Equivalent Rules for Self-supervised Contrastive Learning","date":"2020-10-05","arxiv_id":"2010.01929","n_code_links":1,"syntology":null},{"paper":"/paper/understanding-self-supervised-learning-with","slug":"understanding-self-supervised-learning-with","title":"Understanding Self-supervised Learning with Dual Deep Networks","date":"2020-10-01","arxiv_id":"2010.00578","n_code_links":2,"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":["facebookresearch/luckmatters"],"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":null,"slug":"machine-learning-in-event-triggered-control","title":"Machine Learning in Event-Triggered Control: Recent Advances and Open Issues","date":"2020-09-27","arxiv_id":"2009.12783","n_code_links":0,"syntology":null},{"paper":"/paper/removing-the-background-by-adding-the","slug":"removing-the-background-by-adding-the","title":"Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning","date":"2020-09-12","arxiv_id":"2009.05769","n_code_links":2,"syntology":{"ran":1,"of":2,"n_ran_checked":0,"n_instrument":1,"unverified":1,"pointer_only":2,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":"/paper/a-framework-for-contrastive-self-supervised","slug":"a-framework-for-contrastive-self-supervised","title":"A Framework For Contrastive Self-Supervised Learning And Designing A New Approach","date":"2020-08-31","arxiv_id":"2009.00104","n_code_links":2,"syntology":{"ran":1,"of":2,"n_ran_checked":1,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":"/paper/unsupervised-feature-learning-by-cross-level","slug":"unsupervised-feature-learning-by-cross-level","title":"Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination","date":"2020-08-09","arxiv_id":"2008.03813","n_code_links":2,"syntology":{"ran":6,"of":8,"n_ran_checked":4,"n_instrument":2,"unverified":2,"pointer_only":1,"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) · 2 unverified","official":{"repos":["frank-xwang/CLD-UnsupervisedLearning"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/uncovering-the-structure-of-clinical-eeg","slug":"uncovering-the-structure-of-clinical-eeg","title":"Uncovering the structure of clinical EEG signals with self-supervised learning","date":"2020-07-31","arxiv_id":"2007.16104","n_code_links":2,"syntology":{"ran":0,"of":3,"n_ran_checked":0,"n_instrument":0,"unverified":3,"pointer_only":0,"phrase":"0 ran · 3 unverified","official":null}},{"paper":null,"slug":"demystifying-contrastive-self-supervised","title":"Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases","date":"2020-07-28","arxiv_id":"2007.13916","n_code_links":0,"syntology":null},{"paper":null,"slug":"multi-label-contrastive-predictive-coding","title":"Multi-label Contrastive Predictive Coding","date":"2020-07-20","arxiv_id":"2007.09852","n_code_links":0,"syntology":null},{"paper":"/paper/infoxlm-an-information-theoretic-framework","slug":"infoxlm-an-information-theoretic-framework","title":"InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training","date":"2020-07-15","arxiv_id":"2007.07834","n_code_links":4,"syntology":null},{"paper":null,"slug":"analysis-of-predictive-coding-models-for","title":"Analysis of Predictive Coding Models for Phonemic Representation Learning in Small Datasets","date":"2020-07-08","arxiv_id":"2007.04205","n_code_links":0,"syntology":null},{"paper":"/paper/in-the-wild-from-ml-models-to-pragmatic-ml","slug":"in-the-wild-from-ml-models-to-pragmatic-ml","title":"FLUID: A Unified Evaluation Framework for Flexible Sequential Data","date":"2020-07-06","arxiv_id":"2007.02519","n_code_links":2,"syntology":null},{"paper":"/paper/parametric-instance-classification-for","slug":"parametric-instance-classification-for","title":"Parametric Instance Classification for Unsupervised Visual Feature Learning","date":"2020-06-25","arxiv_id":"2006.14618","n_code_links":1,"syntology":null},{"paper":"/paper/comir-contrastive-multimodal-image","slug":"comir-contrastive-multimodal-image","title":"CoMIR: Contrastive Multimodal Image Representation for Registration","date":"2020-06-11","arxiv_id":"2006.06325","n_code_links":1,"syntology":null},{"paper":null,"slug":"what-makes-instance-discrimination-good-for","title":"What makes instance discrimination good for transfer learning?","date":"2020-06-11","arxiv_id":"2006.06606","n_code_links":0,"syntology":null},{"paper":null,"slug":"embedding-task-knowledge-into-3d-neural","title":"Embedding Task Knowledge into 3D Neural Networks via Self-supervised Learning","date":"2020-06-10","arxiv_id":"2006.05798","n_code_links":0,"syntology":null},{"paper":"/paper/3d-self-supervised-methods-for-medical","slug":"3d-self-supervised-methods-for-medical","title":"3D Self-Supervised Methods for Medical Imaging","date":"2020-06-06","arxiv_id":"2006.03829","n_code_links":1,"syntology":{"ran":14,"of":16,"n_ran_checked":14,"n_instrument":0,"unverified":2,"pointer_only":16,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 14 with no instrument failure: 0 honoured, 0 violated, 14 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["HealthML/self-supervised-3d-tasks"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":14,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"on-mutual-information-in-contrastive-learning","title":"On Mutual Information in Contrastive Learning for Visual Representations","date":"2020-05-27","arxiv_id":"2005.13149","n_code_links":0,"syntology":null},{"paper":"/paper/learning-to-classify-images-without-labels","slug":"learning-to-classify-images-without-labels","title":"SCAN: Learning to Classify Images without Labels","date":"2020-05-25","arxiv_id":"2005.12320","n_code_links":2,"syntology":null},{"paper":"/paper/vector-quantized-neural-networks-for-acoustic","slug":"vector-quantized-neural-networks-for-acoustic","title":"Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challenge","date":"2020-05-19","arxiv_id":"2005.09409","n_code_links":2,"syntology":null},{"paper":"/paper/prototypical-contrastive-learning-of","slug":"prototypical-contrastive-learning-of","title":"Prototypical Contrastive Learning of Unsupervised Representations","date":"2020-05-11","arxiv_id":"2005.04966","n_code_links":2,"syntology":{"ran":2,"of":5,"n_ran_checked":1,"n_instrument":1,"unverified":3,"pointer_only":1,"phrase":"2 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; 1 where Syntology's instrument failed) · 3 unverified","official":{"repos":["salesforce/PCL"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/cobra-contrastive-bi-modal-representation","slug":"cobra-contrastive-bi-modal-representation","title":"COBRA: Contrastive Bi-Modal Representation Algorithm","date":"2020-05-07","arxiv_id":"2005.03687","n_code_links":1,"syntology":{"ran":2,"of":4,"n_ran_checked":2,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["ovshake/cobra"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"region-based-self-triggered-control-for","title":"Region-Based Self-Triggered Control for Perturbed and Uncertain Nonlinear Systems","date":"2020-05-01","arxiv_id":"2005.00473","n_code_links":0,"syntology":null},{"paper":"/paper/vector-quantized-contrastive-predictive","slug":"vector-quantized-contrastive-predictive","title":"Vector Quantized Contrastive Predictive Coding for Template-based Music Generation","date":"2020-04-21","arxiv_id":"2004.10120","n_code_links":1,"syntology":null}],"record_sha256":"4876aa59a2bbf89551d059d1a46bd85becc44563d09b6326676fa2d5cd110620","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}