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An open API service indexing awesome lists of open source software.
Awesome-Contrastive-Learning
Awesome Contrastive Learning for CV & NLP
https://github.com/VainF/Awesome-Contrastive-Learning
- Contrastive Semi-Supervised Learning for 2D Medical Image Segmentation - 2021
- Contrastive Learning with Hard Negative Samples
- Contrastive Representation Learning: A Framework and Review - Khac
- Supervised Contrastive Learning
- A Simple Framework for Contrastive Learning of Visual Representations - research/simclr)]
- Improved Baselines with Momentum Contrastive Learning
- Contrastive Representation Distillation - 2020 [[pytorch*](https://github.com/HobbitLong/RepDistiller)]
- COBRA: Contrastive Bi-Modal Representation Algorithm
- What makes for good views for contrastive learning
- Prototypical Contrastive Learning of Unsupervised Representations
- Contrastive Multi-View Representation Learning on Graphs
- On Mutual Information in Contrastive Learning for Visual Representations
- Semi-Supervised Contrastive Learning with Generalized Contrastive Loss and Its Application to Speaker Recognition
- Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
- Momentum Contrast for Unsupervised Visual Representation Learning
- Data-Efficient Image Recognition with Contrastive Predictive Coding
- Contrastive Multiview Coding
- Learning deep representations by mutual information estimation and maximization - 2019, [[pytorch](https://github.com/rdevon/DIM*)]
- Contrastive Adaptation Network for Unsupervised Domain Adaptation - 2019
- Representation learning with contrastive predictive coding - Predictive-Coding-PyTorch)]
- Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination - 2018, [[pytorch*](https://github.com/zhirongw/lemniscate.pytorch)]
- Adversarial Contrastive Estimation - 2018,
- Time-Contrastive Networks: Self-Supervised Learning from Video - 2017
- Contrastive Learning for Image Captioning - 2017, [[lua*](https://github.com/doubledaibo/clcaption_nips2017)]
- Noise-contrastive estimation for answer selection with deep neural networks - CNN-Torch)]
- Improved Deep Metric Learning with Multi-class N-pair Loss Objective - 2016, [[pytorch](https://github.com/ChaofWang/Npair_loss_pytorch)]
- Learning word embeddings efficiently with noise-contrastive estimation - 2013,
- Noise-contrastive estimation: A new estimation principle for unnormalized statistical models - Contrastive-Estimation-NCE-for-pyTorch)]
- Dimensionality Reduction by Learning an Invariant Mapping
- SimCSE: Simple Contrastive Learning of Sentence Embeddings - nlp/SimCSE)*]
- ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
- DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations
- - lm-pytorch)*]
- Semantic Re-tuning with Contrastive Tension - Tension)*]
- CLEAR: Contrastive Learning for Sentence Representation
- An Unsupervised Sentence Embedding Method by Mutual Information Maximization - BERT)*]
- Efficient estimation of word representations in vector space - Workshop 2013