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BayLearn 2020: Self-supervised Learning for Deep Models in Recommendations
T18: Self-Supervised Learning in Recommendation: Fundamentals and Advances
BayLearn 2020 | ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction
BayLearn 2020: Beyond Supervision for Monocular Depth Estimation
Unit 7.7 | Using Unlabeled Data with Self-Supervised Learning | Part 1
BayLearn 2020: Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration
BayLearn 2020: VirAAL: Virtual Adversarial Active Learning
BayLearn 2020: CoCon: Cooperative-Contrastive Learning
ChemBERTa: Self-supervised pretraining for molecular... - Special Session 01 - Talk - ISMB/ECCB 2021
PR-324: Recent Progress on Self Supervised Learning (LooC, Viewmaker, and Barlow Twins)
BayLearn 2020:What Neural Networks Memorize & Why:Discovering the Long Tail via Influence Estimation
Contrastive learning for API recommendation
