A comprehensive list of awesome contrastive self-supervised learning papers.
- 2020: A Survey on Contrastive Self-Supervised Learning
- 2020: Hard Negative Mixing for Contrastive Learning
- 2020: Contrastive Representation Learning: A Framework and Review
- 2020: Are all negatives created equal in contrastive instance discrimination?
- 2020: Bootstrap your own latent: A new approach to self-supervised Learning
- 2020: Spatiotemporal Contrastive Video Representation Learning
- 2020: Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition
- 2020: Deep Robust Clustering by Contrastive Learning
- 2020: Contrastive Learning for Unpaired Image-to-Image Translation
- 2020: Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases
- 2020: What Should Not Be Contrastive in Contrastive Learning
- 2020: Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework
- 2020: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
- 2020: Prototypical Contrastive Learning of Unsupervised Representations
- 2020: GraphCL: Contrastive Self-Supervised Learning of Graph Representations
- 2020: DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations
- 2020: Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models
- 2020: CERT: Contrastive Self-supervised Learning for Language Understanding
- 2020: Deep Graph Contrastive Representation Learning
- 2020: CLOCS: Contrastive Learning of Cardiac Signals
- 2020: On Mutual Information in Contrastive Learning for Visual Representations
- 2020: What makes for good views for contrastive learning
- 2020: CURL: Contrastive Unsupervised Representations for Reinforcement Learning
- 2020: Supervised Contrastive Learning
- 2020: Clustering based Contrastive Learning for Improving Face Representations
- 2020: A Simple Framework for Contrastive Learning of Visual Representations
- 2020: Improved Baselines with Momentum Contrastive Learning
- 2019: Self-labelling via simultaneous clustering and representation learning
- 2019: Transferable Contrastive Network for Generalized Zero-Shot Learning
- 2019: MoCo: Momentum Contrast for Unsupervised Visual Representation Learning
- 2019: Self-Supervised Learning of Pretext-Invariant Representations
- 2019: Selfie: Self-supervised Pretraining for Image Embedding
- 2019: Data-Efficient Image Recognition with Contrastive Predictive Coding
- 2019: Local Aggregation for Unsupervised Learning of Visual Embeddings
- 2019: Learning Representations by Maximizing Mutual Information Across Views
- 2019: Contrastive Multiview Coding
- 2019: Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
- 2019: Invariant Information Clustering for Unsupervised Image Classification and Segmentation
- 2019: A Theoretical Analysis of Contrastive Unsupervised Representation Learning
- 2018: Learning deep representations by mutual information estimation and maximization
- 2018: Representation Learning with Contrastive Predictive Coding
- 2018: Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
- 2017: Time-Contrastive Networks: Self-Supervised Learning from Video
- 2017: Multi-task Self-Supervised Visual Learning
- 2017: Unsupervised learning of visual representations by solving jigsawpuzzles
- 2015: Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks
- 2010: Noise-contrastive estimation: A new estimation principle for unnormalized statistical models