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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A comprehensive list of awesome contrastive self-supervised learning papers.
| Date | Stars |
|---|---|
| 2026-07-30 | 1310 |
| 2026-08-10 | 1310 |
| 2026-08-18 | 1310 |
| 2026-08-21 | 1309 |
| 2026-08-27 | 1308 |
| 2026-09-19 | 1309 |
| 2026-09-26 | 1310 |
| 2026-10-31 | 1311 |
| 2026-11-04 | 1311 |
Today
— stars today
This week
+1 stars this week
This month
+1 stars this month
Momentum
0.0
growth rate 0.08%/day
<img src="papers.png" align="right" /> # Awesome CONTRASTIVE LEARNING [](https://github.com/sindresorhus/awesome#readme) > A comprehensive list of awesome contrastive self-supervised learning papers. ## PAPERS #### Surveys and Reviews - [ ] [2020: A Survey on Contrastive Self-Supervised Learning](https://arxiv.org/abs/2011.00362) #### 2024 - [ ] [2024: Topic Modeling as Multi-Objective Contrastive Optimization](https://arxiv.org/abs/2402.07577) - [ ] [2024: Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning](https://arxiv.org/abs/2402.17510) [[Code]](https://github.com/MauritsBleeker/svl-framework) - [ ] [2024: VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis](https://arxiv.org/abs/2402.17300) [[Code]](https://github.com/Luffy03/VoCo) - [ ] [2024: Multi-Grained Contrast for Data-Efficient Unsupervised Representation Learning](https://arxiv.org/abs/2407.02014) [[Code]](https://github.com/visresearch/mgc) - [ ] [2024: Kdmcse: Knowledge distillation multimodal sentence embeddings with adaptive angular margin contrastive learning](https://arxiv.org/abs/2403.17486) [[Code]](https://github.com/duyngtr16061999/kdmcse) #### 2023 - [ ] [2023: Improving multimodal sentiment analysis: Supervised angular margin-based contrastive learning for enhanced fusion representation](https://aclanthology.org/2023.findings-emnlp.980/) - [ ] [2023: Inter-Instance Similarity Modeling for Contrastive Learning](https://arxiv.org/abs/2306.12243) [[Code]](https://github.com/visresearch/patchmix) - [ ] [2023: Asymmetric Patch Sampling for Contrastive Learning](https://arxiv.org/abs/2306.02854) [[Code]](https://github.com/visresearch/aps) - [ ] [2023: Randomized Schur Complement Views for Graph Contrastive Learning](https://arxiv.org/abs/2306.04004) [[Code]](https://github.com/kvignesh1420/rlap) #### 2022 - [ ] [2022: Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions](https://arxiv.org/abs/2211.03524) [[Code]](https://github.com/nguyentthong/adaptive_contrastive_mrhp) - [ ] [2022: Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection](https://arxiv.org/abs/2203.12121) - [ ] [2022: Fair Contrastive Learning for Facial Attribute Classification (FSCL)](https://arxiv.org/abs/2203.16209) #### 2021 - [ ] [2021: Contrastive Learning for Neural Topic Model](https://arxiv.org/abs/2110.12764) [[Code]](https://github.com/nguyentthong/CLNTM) - [ ] [2021: Learning Transferable Visual Models From Natural Language Supervision (CLIP)](http://proceedings.mlr.press/v139/radford21a) - [ ] [2021: Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images](https://arxiv.org/abs/2103.03423) - [ ] [2021: Robust Contrastive Learning Using Negative Samples with Diminished Semantics](https://arxiv.org/abs/2110.14189) - [ ] [2021: VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning](https://arxiv.org/pdf/2105.04906.pdf) - [ ] [2021: Barlow Twins: Self-Supervised Learning via Redundancy Reduction](https://arxiv.org/pdf/2103.03230.pdf) - [ ] [2021: Poisoning and Backdooring Contrastive Learning](https://arxiv.org/abs/2106.09667) - [ ] [2021: Adversarial Attacks are Reversible with Natural Supervision](https://arxiv.org/abs/2103.14222) - [ ] [2021: Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels](https://arxiv.org/abs/2107.13741v1) - [ ] [2021: Understanding Cognitive Fatigue from fMRI Scans with Self-supervised Learning](https://arxiv.org/abs/2106.15009) - [ ] [2021: A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning](https://arxiv.org/abs/2104.14558) - [ ] [2021: Contrastive Semi-Supervised Learning for 2D Medical Image Segmentation](https://arxiv
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Srikumar Sastry · Washington University in St Louis
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Thong Thanh Nguyen · National University of Singapore · Singapore
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Zhedong Zheng · University of Macau · China
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Vignesh Kothapalli · @Stanford
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Mariya Hendriksen · University of Oxford
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:fe04b7b756e60f8e, topic:representation-learning, readme:sentence embeddings, readme:representation learning
matched fp:fe04b7b756e60f8e, topic:deep-learning