spotlight talk
The 20 most recent episodes and tracks on this topic.
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- From Classical Statistics to Modern ML: the Lessons of Deep Learning - Mikhail BelkinWorkshop on Theory of Deep Learning: Where next?Notes
- On the Connection between Neural Networks and Kernels: a Modern Perspective -Simon DuWorkshop on Theory of Deep Learning: Where next?Notes
- Spotlight Talks - VariousWorkshop on Theory of Deep Learning: Where next?Notes
- Neural Models for Speech and Language: Successes, Challenges, and the... - Michael CollinsWorkshop on Theory of Deep Learning: Where next?Notes
- Energy-based Approaches to Representation Learning - Yann LeCunWorkshop on Theory of Deep Learning: Where next?Notes
- On Large Deviation Principles for Large Neural Networks - Joan BrunaWorkshop on Theory of Deep Learning: Where next?Notes
- Are All Features Created Equal? - Aleksander MadryWorkshop on Theory of Deep Learning: Where next?Notes
- Overcoming the Curse of Dimensionality and Mode Collapse - Ke LiWorkshop on Theory of Deep Learning: Where next?Notes
- PAC-Bayesian approaches to understanding generalization in deep learning - Gintare DziugaiteWorkshop on Theory of Deep Learning: Where next?Notes
- Is Optimization the Right Language to Understand Deep Learning? - Sanjeev AroraWorkshop on Theory of Deep Learning: Where next?Notes
- Evaluating Neural Network Representations Against Human CognitionRepresentation LearningNotes
- Adversarial Perceptual Representation Learning Across Diverse Modalities and DomainsRepresentation LearningNotes
- Continuous State Machines and Grammars for Linguistic Structure PredictionRepresentation LearningNotes
- Failures of Deep LearningRepresentation LearningNotes
- Supersizing Self-Supervision: Learning Perception and Action without Human SupervisionRepresentation LearningNotes
- Deep Reinforcement LearningRepresentation LearningNotes
- Learning from Unlabeled VideoRepresentation LearningNotes
- Unsupervised Discovery Through Adversarial Self-PlayRepresentation LearningNotes
- Spotlight Talk: Semi-Random Units for Learning Neural Networks with GuaranteesRepresentation LearningNotes
- Spotlight Talk: A Formalization of Representation LearningRepresentation LearningNotes
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