Name	Link
Towards Domain-Agnostic Contrastive Learning	https://arxiv.org/pdf/2011.04419.pdf
Contrastive Representation Learning: A Framework and Review	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9226466
Hard Negative Mixing for Contrastive Learning	https://arxiv.org/pdf/2010.01028.pdf
Contrastive Learning, multi-view redundancy and linear models	https://arxiv.org/pdf/2008.10150.pdf
Building Your Own Latent	https://arxiv.org/pdf/2006.07733v3.pdf
What Should Not Be Contrastive in COntrastive Learning	https://arxiv.org/pdf/2008.05659.pdf
Unsupervised Learning of Visual Features by COntrasting Cluster Assignments	https://arxiv.org/pdf/2006.09882.pdf
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images	https://arxiv.org/pdf/2006.13276.pdf
Adversarial Self-Supervised COntrastive Learning	https://arxiv.org/pdf/2006.07589.pdf
On Mutual Information in Contrastive Learning for Visual Representations	https://arxiv.org/pdf/2005.13149.pdf
On Mutual Information Maximization for Representation Learning	https://openreview.net/pdf?id=rkxoh24FPH
What makes for good views for Contrastive Learning	https://arxiv.org/pdf/2005.10243.pdf
On the importance of views in unsupervised representation learning	https://www.mikehwu.com/papers/representation_view.pdf
Learning representations by maximizing mutual information across views	https://papers.nips.cc/paper/2019/file/ddf354219aac374f1d40b7e760ee5bb7-Paper.pdf
Learning Deep Representations by Mutual Information Estimation and Maximization	https://arxiv.org/pdf/1808.06670.pdf
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere	https://arxiv.org/pdf/2005.10242.pdf
Momentum Contrast for Unsupervised Visual Representation Learning	https://openaccess.thecvf.com/content_CVPR_2020/papers/He_Momentum_Contrast_for_Unsupervised_Visual_Representation_Learning_CVPR_2020_paper.pdf
Improved Baselines with Momentum Contrastive Learning	https://arxiv.org/pdf/2003.04297.pdf
A Simple Framework for Contrastive Learning of Visual Representations	https://arxiv.org/pdf/2002.05709.pdf
Intriguing Properties of COntrastive Losses	https://arxiv.org/pdf/2011.02803.pdf
A Theoretical Analysis of Contrastive Unsupervised Representation LEarning	https://arxiv.org/pdf/1902.09229.pdf
Representation Learning with Contrastive Predictive Coding	https://arxiv.org/pdf/1807.03748.pdf
Data-efficient image recognition with contrastive predictive coding.	https://arxiv.org/pdf/1905.09272.pdf
Time-Contrastive Networks: Self-Supervised Learning from Video	https://arxiv.org/pdf/1704.06888.pdf
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA	https://arxiv.org/pdf/1605.06336.pdf
Improved Deep Metric Learning with Multi-class N-pair Loss Objective	https://proceedings.neurips.cc/paper/2016/file/6b180037abbebea991d8b1232f8a8ca9-Paper.pdf
Self-Supervised Representation Learning by Rotation Feature Decoupling	https://openaccess.thecvf.com/content_CVPR_2019/papers/Feng_Self-Supervised_Representation_Learning_by_Rotation_Feature_Decoupling_CVPR_2019_paper.pdf
Noise Contrastive Estimation : A new estimation principle for unnormalized statistical models	http://proceedings.mlr.press/v9/gutmann10a/gutmann10a.pdf
Self-Supervised Learning of Pretext Invariant Representations	https://openaccess.thecvf.com/content_CVPR_2020/papers/Misra_Self-Supervised_Learning_of_Pretext-Invariant_Representations_CVPR_2020_paper.pdf
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency	https://arxiv.org/pdf/1809.01812.pdf
Dimensionality Reduction by Learning an Invariant Mapping	http://yann.lecun.com/exdb/publis/pdf/hadsell-chopra-lecun-06.pdf
Unsupervised Feature Learning via Non-Parametric Instance Discrimination	https://arxiv.org/pdf/1805.01978.pdf
Learning Word Embeddings Efficiently with Noise Contrastive Learning	https://papers.nips.cc/paper/2013/file/db2b4182156b2f1f817860ac9f409ad7-Paper.pdf
ClusterFit: Improving Generalization of Visual Representations	https://openaccess.thecvf.com/content_CVPR_2020/papers/Yan_ClusterFit_Improving_Generalization_of_Visual_Representations_CVPR_2020_paper.pdf
Data-efficient image recognition with contrastive predictive coding	https://arxiv.org/pdf/1905.09272.pdf
Interpretable COntrastive Learning for Networks	https://arxiv.org/pdf/2005.12419.pdf
Local Contrast LEarning	https://arxiv.org/pdf/1802.03499.pdf
Adversarial Contrastive Estimation	https://arxiv.org/pdf/1805.03642.pdf
On Contrastive Learning for Likelihood-free Inference	https://arxiv.org/pdf/2002.03712.pdf
Contrastive Learning for Structured World Models	https://arxiv.org/pdf/1911.12247.pdf
Contrastive Learning for Video Captioning
Contrastive Learning for Image Captioning	https://arxiv.org/pdf/1710.02534.pdf
Contrastive Representation Distillation	https://arxiv.org/pdf/1910.10699.pdf
Contrastive Multiview COding	https://arxiv.org/pdf/1906.05849.pdf
Online Object Representations with Contrastive Learning	https://arxiv.org/pdf/1906.04312.pdf
Prototypical Contrastive Learning for Unsupervised Representations	https://arxiv.org/pdf/2005.04966.pdf
Supervised Contrastive Learning	https://arxiv.org/pdf/2004.11362.pdf
CURL: Contrastive Unsupervised Representations for Reinforcement LEarning	https://arxiv.org/pdf/2004.04136.pdf
Clustering based Contrastive Learning for Improving Face Representations	https://arxiv.org/pdf/2004.02195.pdf
Contrastive Learning for Image-to-Image Translation	https://arxiv.org/pdf/2007.15651.pdf
Hybrid Discriminative-Generative Training via Contrastive Learning	https://arxiv.org/pdf/2007.09070.pdf
CSI: Novelty Detection via COntrastive Learning on Distributionally Shifted Instances	https://arxiv.org/pdf/2007.08176.pdf
Approximate Nearest Neighbour Negative COntrastive Learning for Dense Text Retrieval	https://arxiv.org/pdf/2007.00808.pdf
Debiased COntrastive Learning	https://arxiv.org/pdf/2007.00224.pdf
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations	https://arxiv.org/pdf/2006.03659.pdf
Contrastive Variational Autoencoder Enhances Salient Features	https://arxiv.org/pdf/1902.04601.pdf
Contrastive LEarning with Adversarial Examples	https://arxiv.org/pdf/2010.12050.pdf
Graph Contrastive Learning with Augmentations	https://arxiv.org/pdf/2010.13902.pdf
Hard Negative Mixing for Contrastive Learning	https://arxiv.org/pdf/2010.01028.pdf
CONTRASTIVE LEARNING WITH HARD NEGATIVE SAMPLES	https://openreview.net/pdf?id=CR1XOQ0UTh-
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations	https://arxiv.org/pdf/2007.07423.pdf
A CRITICAL ANALYSIS OF SELF-SUPERVISION, OR WHAT WE CAN LEARN FROM A SINGLE IMAGE	https://arxiv.org/pdf/1904.13132.pdf
Affinity and Diversity: Quantifying Mechanisms of Data Augmentation	https://arxiv.org/pdf/2002.08973.pdf
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere	https://arxiv.org/pdf/2005.10242.pdf
Mining on Manifolds: Metric Learning without Labels	https://arxiv.org/pdf/1803.11095.pdf
Rethinking Image Mixture for Unsupervised Visual Representation Learning	https://arxiv.org/pdf/2003.05438.pdf
Manifold Mixup: Better Representations by Interpolating Hidden States	http://proceedings.mlr.press/v97/verma19a/verma19a.pdf
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning	https://arxiv.org/pdf/2003.02546.pdf
A Theoretical Analysis of Contrastive Unsupervised Representation Learning	http://proceedings.mlr.press/v97/saunshi19a/saunshi19a.pdf
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction	https://arxiv.org/pdf/2102.10106.pdf
Broaden Your Views for Self-Supervised Video Learning	https://arxiv.org/pdf/2103.16559.pdf
Contrasting Contrastive Self-Supervised Representation Learning Models	https://arxiv.org/pdf/2103.14005.pdf
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?	https://arxiv.org/pdf/2106.05961.pdf
Understand and Improve Contrastive Learning Methods for Visual Representation: A Review	https://arxiv.org/pdf/2106.03259.pdf
Integrating Auxiliary Information in Self-supervised Learning	https://arxiv.org/pdf/2106.02869.pdf
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations	https://arxiv.org/pdf/2106.05967.pdf
Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification	https://arxiv.org/pdf/2106.08808.pdf
Learning to See by Looking at Noise	https://arxiv.org/pdf/2106.05963.pdf
Automated Self-Supervised Learning for Graphs	https://arxiv.org/pdf/2106.05470.pdf
Evolving Losses for Unsupervised Video Representation Learning	https://arxiv.org/pdf/2002.12177.pdf
Big Self-Supervised Models are Strong Semi-Supervised Learners	https://arxiv.org/pdf/2006.10029.pdf
An Empirical Study of Training Self-Supervised Vision Transformers	https://arxiv.org/pdf/2104.02057.pdf
Emerging Properties in Self-Supervised Vision Transformers	https://arxiv.org/pdf/2104.14294.pdf
Residual Contrastive Learning for Joint Demosaicking and Denoising	https://arxiv.org/pdf/2106.10070.pdf
ASCNet: Self-supervised Video Representation Learning with Appearance-Speed Consistency	https://arxiv.org/pdf/2106.02342
You Never Cluster Alone	https://arxiv.org/pdf/2106.01908
Large-Scale Unsupervised Person Re-Identification with Contrastive Learning	https://arxiv.org/pdf/2105.07914
When Does Contrastive Visual Representation Learning Work?	https://arxiv.org/pdf/2105.05837
Self-Supervised Learning from Automatically Separated Sound Scene	https://arxiv.org/pdf/2105.02132
Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview Coding	https://arxiv.org/pdf/2104.07070
Towards Solving Inefficiency of Self-supervised Representation Learning	https://arxiv.org/pdf/2104.08760
CoCoNets: Continuous Contrastive 3D Scene Representations	https://arxiv.org/pdf/2104.03851
ICE: Inter-instance Contrastive Encoding for Unsupervised Person Re-identification	https://arxiv.org/pdf/2103.16364
Contrastive Domain Adaptation	https://arxiv.org/pdf/2103.15566
Unsupervised Document Embedding via Contrastive Augmentation	https://arxiv.org/pdf/2103.14542
Leveraging background augmentations to encourage semantic focus in self-supervised contrastive learning	https://arxiv.org/pdf/2103.12719
Unsupervised Feature Learning for Manipulation with Contrastive Domain Randomization	https://arxiv.org/pdf/2103.11144
Self-Supervised Classification Network	https://arxiv.org/pdf/2103.10994
Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation	https://arxiv.org/pdf/2103.08454
Extending Contrastive Learning to Unsupervised Coreset Selection	https://arxiv.org/pdf/2103.03574
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images	https://arxiv.org/pdf/2103.03423
Contrastive Separative Coding for Self-supervised Representation Learning	https://arxiv.org/pdf/2103.00816
Bootstrapped Representation Learning on Graphs	https://arxiv.org/pdf/2102.06514
Negative Data Augmentation	https://arxiv.org/pdf/2102.05113
DetCo: Unsupervised Contrastive Learning for Object Detection	https://arxiv.org/pdf/2102.04803
On self-supervised multi-modal representation learning: An application to Alzheimer's disease	https://arxiv.org/pdf/2012.13619
Information-Preserving Contrastive Learning for Self-Supervised Representations	https://arxiv.org/pdf/2012.09962
About contrastive unsupervised representation learning for classification and its convergence	https://arxiv.org/pdf/2012.01064
Self supervised contrastive learning for digital histopathology	https://arxiv.org/pdf/2011.13971
Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding	https://arxiv.org/pdf/2011.14097
Can Temporal Information Help with Contrastive Self-Supervised Learning?	https://arxiv.org/pdf/2011.13046
Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning	https://arxiv.org/pdf/2011.11261
Can Semantic Labels Assist Self-Supervised Visual Representation Learning?	https://arxiv.org/pdf/2011.08621
Unsupervised Contrastive Learning of Sound Event Representations	https://arxiv.org/pdf/2011.07616
Unsupervised Video Representation Learning by Bidirectional Feature Prediction	https://arxiv.org/pdf/2011.06037
Unsupervised Learning of Dense Visual Representations	https://arxiv.org/pdf/2011.05499
Graph Contrastive Learning with Augmentations	https://arxiv.org/pdf/2010.13902
G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling	https://arxiv.org/pdf/2009.12007
CAPT: Contrastive Pre-Training for Learning Denoised Sequence Representations	https://arxiv.org/pdf/2010.06351
Robust Pre-Training by Adversarial Contrastive Learning	https://arxiv.org/pdf/2010.13337
MS2L: Multi-Task Self-Supervised Learning for Skeleton Based Action Recognition	https://arxiv.org/pdf/2010.05599
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection	https://arxiv.org/pdf/2009.09107
Contrastive learning, multi-view redundancy, and linear models	https://arxiv.org/pdf/2008.10150
Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination	https://arxiv.org/pdf/2008.03813
Spatiotemporal Contrastive Video Representation Learning	https://arxiv.org/pdf/2008.03800
Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation	https://arxiv.org/pdf/2007.13465
GraphCL: Contrastive Self-Supervised Learning of Graph Representations	https://arxiv.org/pdf/2007.08025
Unsupervised Image Classification for Deep Representation Learning	https://arxiv.org/pdf/2006.11480
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction	https://arxiv.org/pdf/2006.08558
Self-supervised Learning from a Multi-view Perspective	https://arxiv.org/pdf/2006.05576
PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition	https://arxiv.org/pdf/1911.12409
Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping	https://arxiv.org/pdf/1906.03764
Simple Distillation Baselines for Improving Small Self-supervised Models	https://arxiv.org/pdf/2106.11304
VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning	https://arxiv.org/pdf/2106.11250
Can contrastive learning avoid shortcut solutions?	https://arxiv.org/pdf/2106.11230
Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations	https://arxiv.org/pdf/2106.11054
SELF-LABELLING VIA SIMULTANEOUS CLUSTERING AND REPRESENTATION LEARNING	https://arxiv.org/pdf/1911.05371.pdf
A CRITICAL ANALYSIS OF SELF-SUPERVISION, OR WHAT WE CAN LEARN FROM A SINGLE IMAGE	https://arxiv.org/pdf/1904.13132.pdf
Video Representation Learning by Recognizing Temporal Transformations	https://arxiv.org/abs/2007.10730
MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models	https://arxiv.org/pdf/2010.05352.pdf
Self-supervised Contrastive Video-Speech Representation Learning for Ultrasound	https://arxiv.org/pdf/2008.06607.pdf
MST: Masked Self-Supervised Transformer for Visual Representation	https://arxiv.org/pdf/2106.05656.pdf
Robust Identification of Topological Phase Transition by Self-Supervised Machine Learning Approach	https://arxiv.org/pdf/2106.12791
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks	https://arxiv.org/pdf/2106.12484
STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning	https://arxiv.org/pdf/2106.12407
Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19 Diagnosis	https://arxiv.org/pdf/2106.12313
Deformed2Self: Self-Supervised Denoising for Dynamic Medical Imaging	https://arxiv.org/pdf/2106.12175
Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences	https://arxiv.org/pdf/2106.12153
Unsupervised Object-Level Representation Learning from Scene Images	https://arxiv.org/pdf/2106.11952
Credal Self-Supervised Learning	https://arxiv.org/pdf/2106.11853
Improving Ultrasound Tongue Image Reconstruction from Lip Images Using Self-supervised Learning and Attention Mechanism	https://arxiv.org/pdf/2106.11769
Self-Supervised Iterative Contextual Smoothing for Efficient Adversarial Defense against Gray- and Black-Box Attack	https://arxiv.org/pdf/2106.11644
Multi-layered Semantic Representation Network for Multi-label Image Classification	https://arxiv.org/pdf/2106.11596
Winning the CVPR'2021 Kinetics-GEBD Challenge: Contrastive Learning Approach	https://arxiv.org/pdf/2106.11549
Simple Distillation Baselines for Improving Small Self-supervised Models	https://arxiv.org/pdf/2106.11304
TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?	https://arxiv.org/pdf/2106.11297.pdf
VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning	https://arxiv.org/pdf/2106.11250
Contrastive Multi-Modal Clustering	https://arxiv.org/pdf/2106.11193
GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction	https://arxiv.org/pdf/2106.11133
Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations	https://arxiv.org/pdf/2106.11054
Interventional Video Grounding with Dual Contrastive Learning	https://arxiv.org/pdf/2106.11013
Unsupervised Deep Learning by Injecting Low-Rank and Sparse Priors	https://arxiv.org/pdf/2106.10923
Crop-Transform-Paste: Self-Supervised Learning for Visual Tracking	https://arxiv.org/pdf/2106.10900
Neighborhood Contrastive Learning for Novel Class Discovery	https://arxiv.org/pdf/2106.10731
Underwater Image Restoration via Contrastive Learning and a Real-world Dataset	https://arxiv.org/pdf/2106.10718
Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting	https://arxiv.org/pdf/2106.10137
Investigating the Role of Negatives in Contrastive Representation Learning	https://arxiv.org/pdf/2106.09943
Novelty Detection via Contrastive Learning with Negative Data Augmentation	https://arxiv.org/pdf/2106.09958
Efficient Self-supervised Vision Transformers for Representation Learning	https://arxiv.org/pdf/2106.09785
MoDist: Motion Distillation for Self-supervised Video Representation Learning	https://arxiv.org/pdf/2106.09703
An Evaluation of Self-Supervised Pre-Training for Skin-Lesion Analysis	https://arxiv.org/pdf/2106.09229
Long-Short Temporal Contrastive Learning of Video Transformers	https://arxiv.org/pdf/2106.09212
Positional Contrastive Learning for Volumetric Medical Image Segmentation	https://arxiv.org/pdf/2106.09157
SPeCiaL: Self-Supervised Pretraining for Continual Learning	https://arxiv.org/pdf/2106.09065
Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification	https://arxiv.org/pdf/2106.08808
Self-supervised GANs with Label Augmentation	https://arxiv.org/pdf/2106.08601
Self-Supervised Learning with Kernel Dependence Maximization	https://arxiv.org/pdf/2106.08320
Interpretable Self-supervised Multi-task Learning for COVID-19 Information Retrieval and Extraction	https://arxiv.org/pdf/2106.08252
Evaluating Modules in Graph Contrastive Learning	https://arxiv.org/pdf/2106.08171
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization	https://arxiv.org/pdf/2106.07916
Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person Re-Identification	https://arxiv.org/pdf/2106.07846
Graph Contrastive Learning Automated	https://arxiv.org/pdf/2106.07594
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units	https://arxiv.org/pdf/2106.07447
Self-Supervised Metric Learning in Multi-View Data: A Downstream Task Perspective	https://arxiv.org/pdf/2106.07138
Latent Correlation-Based Multiview Learning and Self-Supervision: A Unifying Perspective	https://arxiv.org/pdf/2106.07115
Noise2Score: Tweedie's Approach to Self-Supervised Image Denoising without Clean Images	https://arxiv.org/pdf/2106.07009
Learning the Imaging Landmarks: Unsupervised Key point Detection in Lung Ultrasound Videos	https://arxiv.org/pdf/2106.06987
Contrastive Attention for Automatic Chest X-ray Report Generation	https://arxiv.org/pdf/2106.06965
InfoBehavior: Self-supervised Representation Learning for Ultra-long Behavior Sequence via Hierarchical Grouping	https://arxiv.org/pdf/2106.06905
Improving weakly supervised sound event detection with self-supervised auxiliary tasks	https://arxiv.org/pdf/2106.06858
Contrastive Semi-Supervised Learning for 2D Medical Image Segmentation	https://arxiv.org/pdf/2106.06801
Large-Scale Unsupervised Object Discovery	https://arxiv.org/pdf/2106.06650
AugNet: End-to-End Unsupervised Visual Representation Learning with Image Augmentation	https://arxiv.org/pdf/2106.06250
Hybrid Generative-Contrastive Representation Learning	https://arxiv.org/pdf/2106.06162
Cross-domain Contrastive Learning for Unsupervised Domain Adaptation	https://arxiv.org/pdf/2106.05528
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation	https://arxiv.org/pdf/2106.05095
Self-supervision of Feature Transformation for Further Improving Supervised Learning	https://arxiv.org/pdf/2106.04922
Self-supervised Feature Enhancement: Applying Internal Pretext Task to Supervised Learning	https://arxiv.org/pdf/2106.04921
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style	https://arxiv.org/pdf/2106.04619
DETReg: Unsupervised Pretraining with Region Priors for Object Detection	https://arxiv.org/pdf/2106.04550
Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation	https://arxiv.org/pdf/2106.04195
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss	https://arxiv.org/pdf/2106.04156
Self-Supervision & Meta-Learning for One-Shot Unsupervised Cross-Domain Detection	https://arxiv.org/pdf/2106.03496
Self-supervised Rubik's Cube Solver	https://arxiv.org/pdf/2106.03157
Self-Damaging Contrastive Learning	https://arxiv.org/pdf/2106.02990
Conditional Contrastive Learning: Removing Undesirable Information in Self-Supervised Representations	https://arxiv.org/pdf/2106.02866
Self-Supervised Learning of Domain Invariant Features for Depth Estimation	https://arxiv.org/pdf/2106.02594
Graph Barlow Twins: A self-supervised representation learning framework for graphs	https://arxiv.org/pdf/2106.02466
Attention-Guided Supervised Contrastive Learning for Semantic Segmentation	https://arxiv.org/pdf/2106.01596
Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging	https://arxiv.org/pdf/2106.00919
Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning	https://arxiv.org/pdf/2105.15134
Unsupervised Action Segmentation with Self-supervised Feature Learning and Co-occurrence Parsing	https://arxiv.org/pdf/2105.14158
Self-supervised Detransformation Autoencoder for Representation Learning in Open Set Recognition	https://arxiv.org/pdf/2105.13557
Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation	https://arxiv.org/pdf/2105.12924
Sli2Vol: Annotate a 3D Volume from a Single Slice with Self-Supervised Learning	https://arxiv.org/pdf/2105.12722
Self-Supervised Graph Representation Learning via Topology Transformations	https://arxiv.org/pdf/2105.11689
Backdoor Attacks on Self-Supervised Learning	https://arxiv.org/pdf/2105.10123
Crowd Counting by Self-supervised Transfer Colorization Learning and Global Prior Classification	https://arxiv.org/pdf/2105.09684
Heterogeneous Contrastive Learning	https://arxiv.org/pdf/2105.09401
Balancing Robustness and Sensitivity using Feature Contrastive Learning	https://arxiv.org/pdf/2105.09394
Self-Supervised Learning for Fine-Grained Visual Categorization	https://arxiv.org/pdf/2105.08788
Divide and Contrast: Self-supervised Learning from Uncurated Data	https://arxiv.org/pdf/2105.08054
Unsupervised Deep Learning Methods for Biological Image Reconstruction	https://arxiv.org/pdf/2105.08040
Large-Scale Unsupervised Person Re-Identification with Contrastive Learning	https://arxiv.org/pdf/2105.07914
Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification	https://arxiv.org/pdf/2105.07566
Self-supervised on Graphs: Contrastive, Generative,or Predictive	https://arxiv.org/pdf/2105.07342
Mean Shift for Self-Supervised Learning	https://arxiv.org/pdf/2105.07269
Evaluating the Robustness of Self-Supervised Learning in Medical Imaging	https://arxiv.org/pdf/2105.06986
Using Self-Supervised Co-Training to Improve Facial Representation	https://arxiv.org/pdf/2105.06421
Electrocardio Panorama: Synthesizing New ECG Views with Self-supervision	https://arxiv.org/pdf/2105.06293
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning	https://arxiv.org/pdf/2105.05682
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning	https://arxiv.org/pdf/2105.04906
Self-Supervised Learning with Swin Transformers	https://arxiv.org/pdf/2105.04553
Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning	https://arxiv.org/pdf/2105.04532
You Only Learn One Representation: Unified Network for Multiple Tasks	https://arxiv.org/pdf/2105.04206
Self-supervised spectral matching network for hyperspectral target detection	https://arxiv.org/pdf/2105.04078
Contrastive Conditional Transport for Representation Learning	https://arxiv.org/pdf/2105.03746
Contrastive Learning for Unsupervised Image-to-Image Translation	https://arxiv.org/pdf/2105.03117
Unsupervised Visual Representation Learning by Tracking Patches in Video	https://arxiv.org/pdf/2105.02545
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation	https://arxiv.org/pdf/2105.02001
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering	https://arxiv.org/pdf/2105.01899
Representation Learning for Clustering via Building Consensus	https://arxiv.org/pdf/2105.01289
Self-Supervised Approach for Facial Movement Based Optical Flow	https://arxiv.org/pdf/2105.01256
On Feature Decorrelation in Self-Supervised Learning	https://arxiv.org/pdf/2105.00470
CoCon: Cooperative-Contrastive Learning	https://arxiv.org/pdf/2104.14764
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning	https://arxiv.org/pdf/2104.14558
Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis	https://arxiv.org/pdf/2104.13797
A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning	https://arxiv.org/pdf/2104.13712
Shot Contrastive Self-Supervised Learning for Scene Boundary Detection	https://arxiv.org/pdf/2104.13537
Multimodal Contrastive Training for Visual Representation Learning	https://arxiv.org/pdf/2104.12836
Multimodal Self-Supervised Learning of General Audio Representations	https://arxiv.org/pdf/2104.12807
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos	https://arxiv.org/pdf/2104.12671
Mutual Contrastive Learning for Visual Representation Learning	https://arxiv.org/pdf/2104.12565
How Well Self-Supervised Pre-Training Performs with Streaming Data?	https://arxiv.org/pdf/2104.12081
Aligned Contrastive Predictive Coding	https://arxiv.org/pdf/2104.11946
DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning	https://arxiv.org/pdf/2104.11507
Inductive biases and Self Supervised Learning in modelling a physical heating system	https://arxiv.org/pdf/2104.11478
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text	https://arxiv.org/pdf/2104.11178
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning	https://arxiv.org/pdf/2104.11056
Self-Supervised Learning from Semantically Imprecise Data	https://arxiv.org/pdf/2104.10901
Contrastive Learning for Sports Video: Unsupervised Player Classification	https://arxiv.org/pdf/2104.10068
Fine-grained Anomaly Detection via Multi-task Self-Supervision	https://arxiv.org/pdf/2104.09993
Distill on the Go: Online knowledge distillation in self-supervised learning	https://arxiv.org/pdf/2104.09866
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization	https://arxiv.org/pdf/2104.09841
A Framework using Contrastive Learning for Classification with Noisy Labels	https://arxiv.org/pdf/2104.09563
DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning	https://arxiv.org/pdf/2104.09124
Contrastive Learning Improves Model Robustness Under Label Noise	https://arxiv.org/pdf/2104.08984
Color Variants Identification via Contrastive Self-Supervised Representation Learning	https://arxiv.org/pdf/2104.08581
Self-supervised Video Retrieval Transformer Network	https://arxiv.org/pdf/2104.07993
Pareto Self-Supervised Training for Few-Shot Learning	https://arxiv.org/pdf/2104.07841
Contrastive Learning with Stronger Augmentations	https://arxiv.org/pdf/2104.07713
Dual Contrastive Learning for Unsupervised Image-to-Image Translation	https://arxiv.org/pdf/2104.07689
Self-supervised Video Object Segmentation by Motion Grouping	https://arxiv.org/pdf/2104.07658
Large-Scale Self- and Semi-Supervised Learning for Speech Translation	https://arxiv.org/pdf/2104.06678
ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration	https://arxiv.org/pdf/2104.06468
Self-supervised object detection from audio-visual correspondence	https://arxiv.org/pdf/2104.06401
Understanding Hard Negatives in Noise Contrastive Estimation	https://arxiv.org/pdf/2104.06245
Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation	https://arxiv.org/pdf/2104.06087
Unifying domain adaptation and self-supervised learning for CXR segmentation via AdaIN-based knowledge distillation	https://arxiv.org/pdf/2104.05892
Where and What? Examining Interpretable Disentangled Representations	https://arxiv.org/pdf/2104.05622
Self-Training with Weak Supervision	https://arxiv.org/pdf/2104.05514
Saddlepoints in Unsupervised Least Squares	https://arxiv.org/pdf/2104.05000
Stereo Matching by Self-supervision of Multiscopic Vision	https://arxiv.org/pdf/2104.04170
Context-self contrastive pretraining for crop type semantic segmentation	https://arxiv.org/pdf/2104.04310
eGAN: Unsupervised approach to class imbalance using transfer learning	https://arxiv.org/pdf/2104.04162
SiT: Self-supervised vIsion Transformer	https://arxiv.org/pdf/2104.03602
Self-Supervised Learning for Semi-Supervised Temporal Action Proposal	https://arxiv.org/pdf/2104.03214
Utilizing Self-supervised Representations for MOS Prediction	https://arxiv.org/pdf/2104.03017
Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data	https://arxiv.org/pdf/2104.02932
Self-Supervised Learning for Gastritis Detection with Gastric X-ray Images	https://arxiv.org/pdf/2104.02864
Self-Supervised Learning based CT Denoising using Pseudo-CT Image Pairs	https://arxiv.org/pdf/2104.02326
Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision	https://arxiv.org/pdf/2104.01257
Self-supervised Video Representation Learning by Context and Motion Decoupling	https://arxiv.org/pdf/2104.00862
LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions	https://arxiv.org/pdf/2104.00820
Composable Augmentation Encoding for Video Representation Learning	https://arxiv.org/pdf/2104.00616
Jigsaw Clustering for Unsupervised Visual Representation Learning	https://arxiv.org/pdf/2104.00323
Self-supervised Motion Learning from Static Images	https://arxiv.org/pdf/2104.00240
Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective	https://arxiv.org/pdf/2103.17263
On the Origin of Species of Self-Supervised Learning	https://arxiv.org/pdf/2103.17143
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption	https://arxiv.org/pdf/2103.16201
Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays	https://arxiv.org/pdf/2103.16022
Representation range needs for 16-bit neural network training	https://arxiv.org/pdf/2103.15940
Tasting the cake: evaluating self-supervised generalization on out-of-distribution multimodal MRI data	https://arxiv.org/pdf/2103.15914
Classification of Seeds using Domain Randomization on Self-Supervised Learning Frameworks	https://arxiv.org/pdf/2103.15578
Self-Supervised Visibility Learning for Novel View Synthesis	https://arxiv.org/pdf/2103.15407
Explaining Representation by Mutual Information	https://arxiv.org/pdf/2103.15114
Self-supervised Discriminative Feature Learning for Multi-view Clustering	https://arxiv.org/pdf/2103.15069
Self-supervised Graph Neural Networks without explicit negative sampling	https://arxiv.org/pdf/2103.14958
Categorical Representation Learning: Morphism is All You Need	https://arxiv.org/pdf/2103.14770
Quantum Self-Supervised Learning	https://arxiv.org/pdf/2103.14653
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification	https://arxiv.org/pdf/2103.14267
Self-Supervised Training Enhances Online Continual Learning	https://arxiv.org/pdf/2103.14010
Rethinking Deep Contrastive Learning with Embedding Memory	https://arxiv.org/pdf/2103.14003
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning	https://arxiv.org/pdf/2103.13885
Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting	https://arxiv.org/pdf/2103.13716
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels	https://arxiv.org/pdf/2103.13646
Rethinking Self-Supervised Learning: Small is Beautiful	https://arxiv.org/pdf/2103.13559
A Broad Study on the Transferability of Visual Representations with Contrastive Learning	https://arxiv.org/pdf/2103.13517
Jo-SRC: A Contrastive Approach for Combating Noisy Labels	https://arxiv.org/pdf/2103.13029
Supporting Clustering with Contrastive Learning	https://arxiv.org/pdf/2103.12953
Region Similarity Representation Learning	https://arxiv.org/pdf/2103.12902
Leveraging background augmentations to encourage semantic focus in self-supervised contrastive learning	https://arxiv.org/pdf/2103.12719
Self-Supervised Pretraining Improves Self-Supervised Pretraining	https://arxiv.org/pdf/2103.12718
Self-supervised representation learning from 12-lead ECG data	https://arxiv.org/pdf/2103.12676
Revisiting Self-Supervised Monocular Depth Estimation	https://arxiv.org/pdf/2103.12496
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search	https://arxiv.org/pdf/2103.12424
Contrastive Reasoning in Neural Networks	https://arxiv.org/pdf/2103.12329
SSD: A Unified Framework for Self-Supervised Outlier Detection	https://arxiv.org/pdf/2103.12051
Self-supervised Representation Learning with Relative Predictive Coding	https://arxiv.org/pdf/2103.11275
Efficient Visual Pretraining with Contrastive Detection	https://arxiv.org/pdf/2103.10957
UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning	https://arxiv.org/pdf/2103.10773
Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning	https://arxiv.org/pdf/2103.10211
Self-Supervised Adaptation for Video Super-Resolution	https://arxiv.org/pdf/2103.10081
Reconsidering Representation Alignment for Multi-view Clustering	https://arxiv.org/pdf/2103.07738
Spatially Consistent Representation Learning	https://arxiv.org/pdf/2103.06122
Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve Backbones	https://arxiv.org/pdf/2103.05959
VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples	https://arxiv.org/pdf/2103.05905
Self-Supervision by Prediction for Object Discovery in Videos	https://arxiv.org/pdf/2103.05669
Multimodal Representation Learning via Maximization of Local Mutual Information	https://arxiv.org/pdf/2103.04537
Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations	https://arxiv.org/pdf/2103.04167
Liver Fibrosis and NAS scoring from CT images using self-supervised learning and texture encoding	https://arxiv.org/pdf/2103.03761
Self-Supervised Longitudinal Neighbourhood Embedding	https://arxiv.org/pdf/2103.03840
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification	https://arxiv.org/pdf/2103.03629
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis	https://arxiv.org/pdf/2103.03568
Barlow Twins: Self-Supervised Learning via Redundancy Reduction	https://arxiv.org/pdf/2103.03230
Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis	https://arxiv.org/pdf/2103.03166
Self-supervised deep convolutional neural network for chest X-ray classification	https://arxiv.org/pdf/2103.03055
Deep Clustering by Semantic Contrastive Learning	https://arxiv.org/pdf/2103.02662
Self-supervised Pretraining of Visual Features in the Wild	https://arxiv.org/pdf/2103.01988
There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge	https://arxiv.org/pdf/2103.01353
A Brief Summary of Interactions Between Meta-Learning and Self-Supervised Learning	https://arxiv.org/pdf/2103.00845
Self-supervised Low Light Image Enhancement and Denoising	https://arxiv.org/pdf/2103.00832
Graph Self-Supervised Learning: A Survey	https://arxiv.org/pdf/2103.00111
Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation	https://arxiv.org/pdf/2102.11614
Representation Disentanglement for Multi-modal brain MR Analysis	https://arxiv.org/pdf/2102.11456
Towards Causal Representation Learning	https://arxiv.org/pdf/2102.11107
Self-Supervised Learning of Graph Neural Networks: A Unified Review	https://arxiv.org/pdf/2102.10757
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning	https://arxiv.org/pdf/2102.10680
Contrastive Self-supervised Neural Architecture Search	https://arxiv.org/pdf/2102.10557
Do Generative Models Know Disentanglement? Contrastive Learning is All You Need	https://arxiv.org/pdf/2102.10543
Self-Supervised Learning via multi-Transformation Classification for Action Recognition	https://arxiv.org/pdf/2102.10378
Contrastive Learning Inverts the Data Generating Process	https://arxiv.org/pdf/2102.08850
Instance Localization for Self-supervised Detection Pretraining	https://arxiv.org/pdf/2102.08318
Learning Invariant Representations using Inverse Contrastive Loss	https://arxiv.org/pdf/2102.08343
Self-Supervised Features Improve Open-World Learning	https://arxiv.org/pdf/2102.07848
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning	https://arxiv.org/pdf/2102.06866
Understanding self-supervised Learning Dynamics without Contrastive Pairs	https://arxiv.org/pdf/2102.06810
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning	https://arxiv.org/pdf/2102.06605
Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning	https://arxiv.org/pdf/2102.04848
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning	https://arxiv.org/pdf/2102.03837
Self-supervised driven consistency training for annotation efficient histopathology image analysis	https://arxiv.org/pdf/2102.03897
Echo-SyncNet: Self-supervised Cardiac View Synchronization in Echocardiography	https://arxiv.org/pdf/2102.02287
Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised	https://arxiv.org/pdf/2102.02153
Self-Supervised Representation Learning for RGB-D Salient Object Detection	https://arxiv.org/pdf/2101.12482
Self-Adaptive Training: Bridging the Supervised and Self-Supervised Learning	https://arxiv.org/pdf/2101.08732
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning	https://arxiv.org/pdf/2101.08482
TCLR: Temporal Contrastive Learning for Video Representation	https://arxiv.org/pdf/2101.07974
JigsawGAN: Self-supervised Learning for Solving Jigsaw Puzzles with Generative Adversarial Networks	https://arxiv.org/pdf/2101.07555
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning	https://arxiv.org/pdf/2101.07525
Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup	https://arxiv.org/pdf/2101.06983
Self-Supervised Representation Learning from Flow Equivariance	https://arxiv.org/pdf/2101.06553
SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning	https://arxiv.org/pdf/2101.06480
Task-driven Self-supervised Bi-channel Networks Learning for Diagnosis of Breast Cancers with Mammography	https://arxiv.org/pdf/2101.06228
Self-Supervised Learning for Segmentation	https://arxiv.org/pdf/2101.05456
Big Self-Supervised Models Advance Medical Image Classification	https://arxiv.org/pdf/2101.05224
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction	https://arxiv.org/pdf/2101.04909
SEED: Self-supervised Distillation For Visual Representation	https://arxiv.org/pdf/2101.04731
Explicit homography estimation improves contrastive self-supervised learning	https://arxiv.org/pdf/2101.04713
Estimating Galactic Distances From Images Using Self-supervised Representation Learning	https://arxiv.org/pdf/2101.04293
Pneumonia Detection on Chest X-ray using Radiomic Features and Contrastive Learning	https://arxiv.org/pdf/2101.04269
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks	https://arxiv.org/pdf/2101.03057
Contrastive Learning for Recommender System	https://arxiv.org/pdf/2101.01317
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations	https://arxiv.org/abs/2104.14548