• Self-Supervised Learning for Videos https://www.lightly.ai/post/self-supervised-learning-for-videos 8 comments 21/8/2024
• A Cookbook of Self-Supervised Learning https://arxiv.org/abs/2304.12210 22 comments 25/4/2023
• Data2vec 2.0: Highly efficient self-supervised learning for vision, speech, text https://ai.facebook.com/blog/ai-self-supervised-learning-data2vec/ 20 comments 13/12/2022
• Contrastive Self-Supervised Learning https://ankeshanand.com/blog/2020/01/26/contrative-self-supervised-learning.html 13 comments 1/2/2020
• Self-Supervised Learning [pdf] https://project.inria.fr/paiss/files/2018/07/zisserman-self-supervised.pdf 48 comments 16/6/2019
• Self-supervised learning: The dark matter of intelligence (2021) https://ai.meta.com/blog/self-supervised-learning-the-dark-matter-of-intelligence/ 18 comments 18/9/2023
• Reverse Engineering Self-Supervised Learning https://arxiv.org/abs/2305.15614 16 comments 4/6/2023
• DINOv2: State-of-the-art computer vision models with self-supervised learning https://ai.facebook.com/blog/dino-v2-computer-vision-self-supervised-learning/ 2 comments 19/4/2023
• DINOv2: State-of-the-art computer vision models with self-supervised learning https://dinov2.metademolab.com/ 16 comments 17/4/2023
• Self-Supervised Learning and Foundation Models https://www.futureofai.mit.edu/ 5 comments 12/2/2023
• Self-supervised learning: The dark matter of intelligence https://ai.facebook.com/blog/self-supervised-learning-the-dark-matter-of-intelligence/ 74 comments 12/3/2021
• ALBERT: A Lite BERT for Self-Supervised Learning of Language Representations https://ai.googleblog.com/2019/12/albert-lite-bert-for-self-supervised.html 45 comments 8/1/2020
• Grasp2Vec: Learning Object Representations from Self-Supervised Grasping https://ai.googleblog.com/2018/12/grasp2vec-learning-object.html 9 comments 11/12/2018
• Self Supervised Learning in NLP https://amitness.com/2020/05/self-supervised-learning-nlp/ 14 comments 24/5/2020
• Visual Introduction to Self Supervised Learning https://amitness.com/2020/02/illustrated-self-supervised-learning/ 12 comments 28/2/2020
• Yann LeCun on his start in AI, recent self-supervised learning research [video] https://thegradientpub.substack.com/p/yann-lecun-on-his-start-in-research 73 comments 5/8/2021
• Lightly – A Python library for self-supervised learning https://github.com/lightly-ai/lightly 3 comments 2/12/2020

• Introduction to Self-Supervised Learning (SSL) https://medium.com/self-supervised-learning/introduction-to-self-supervised-learning-ssl-e556b9139617?sk=8e5064c86ecb497662f33c5abba74c71 5 comments 26/9/2023 learnmachinelearning
• Supervised, Semi-Supervised, Unsupervised, and Self-Supervised Learning https://taying-cheng.medium.com/supervised-semi-supervised-unsupervised-and-self-supervised-learning-7fa79aa9247c 3 comments 25/11/2021 learnmachinelearning
• The Illustrated Self-Supervised Learning https://amitness.com/2020/02/illustrated-self-supervised-learning/ 3 comments 26/2/2020 computervision
• A Cookbook of Self-Supervised Learning (not OC) http://arxiv.org/abs/2304.12210 3 comments 25/4/2023 machinelearning
• [R] Understanding Dimensional Collapse in Contrastive Self-supervised Learning https://openreview.net/forum?id=YevsQ05DEN7 2 comments 29/3/2022 machinelearning
• Visual Explanation of SimCLR: State of the Art Self-Supervised Learning Method https://amitness.com/2020/03/illustrated-simclr/ 3 comments 8/3/2020 deeplearning
• Visual Explanation of SimCLR: State of the Art Self-Supervised Learning Method https://amitness.com/2020/03/illustrated-simclr/ 5 comments 7/3/2020 artificial
• Understanding Contrastive Learning. Learn how to learn without labels using self-supervised learning. https://towardsdatascience.com/understanding-contrastive-learning-d5b19fd96607 9 comments 3/7/2021 learnmachinelearning
• [R] To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review https://arxiv.org/abs/2304.09355 7 comments 26/8/2023 machinelearning
• Self-supervised learning for stock return prediction based on technical indicators None 2 comments 29/4/2023 datascience
• [R] On the Origin of Species of Self-Supervised Learning https://arxiv.org/abs/2103.17143 3 comments 1/4/2021 machinelearning
• A nice article about self-supervised visual representation learning https://perfectial.com/blog/self-supervised-learning/ 7 comments 11/3/2020 computervision
• MIT Lectures on Self-Supervised Learning and Foundation Models https://www.youtube.com/playlist?list=PLXV9Vh2jYcjZAHAuGmQWCc14F6Gs1o4Yt 3 comments 15/2/2023 artificial
• [R] Mining for strong gravitational lenses with self-supervised learning https://arxiv.org/abs/2110.00023 2 comments 6/10/2021 machinelearning
• [R] Barlow Twins: Self-Supervised Learning via Redundancy Reduction https://arxiv.org/abs/2103.03230 22 comments 9/5/2021 machinelearning
• [2103.06326] S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning https://arxiv.org/abs/2103.06326 2 comments 22/3/2021 machinelearning
• Here is a wonderful Self Supervised Learning 122 page lecture notebook by Andrew Zisserman from Deepmind https://www.reddit.com/r/artificial/comments/c16dqg/here_is_a_wonderful_self_supervised_learning_122/ 3 comments 16/6/2019 artificial
• [R] Wav2Vec with fMRI: Towards realistic model of speech processing in the brain with self-supervised learning https://arxiv.org/pdf/2206.01685.pdf 2 comments 14/6/2022 machinelearning
• Self-driving truck boss: 'Supervised machine learning doesn’t live up to the hype. It isn’t C-3PO, it’s sophisticated pattern matching' https://www.theregister.co.uk/2020/03/23/ai_roundup_march20/ 20 comments 24/3/2020 artificial
• "Yann LeCun on a vision to make AI systems learn and reason like animals and humans" (sketching an AGI arch using self-supervised learning) https://ai.facebook.com/blog/yann-lecun-advances-in-ai-research 22 comments 23/2/2022 reinforcementlearning
• "EfficientZero: Mastering Atari Games with Limited Data", Ye et al 2021 (beating humans on ALE-100k/2h by adding self-supervised learning to MuZero-Reanalyze) https://arxiv.org/abs/2111.00210 13 comments 2/11/2021 reinforcementlearning
• "Dense Object Nets (DON)" for self-supervised learning of coordinate-mapping onto objects for general robot arm gripping https://news.mit.edu/2018/mit-csail-robots-can-pick-any-object-after-inspection-0910 3 comments 10/9/2018 reinforcementlearning
• [R] Local plasticity rules can learn deep representations using self-supervised contrastive predictions. No need to backprop error signals between layers. Networks trained with this self-supervised and local rule build deep hierarchical representations of images, speech and video. https://arxiv.org/abs/2010.08262 3 comments 9/10/2021 machinelearning