- Generative Adversarial Nets
- A Geometric Perspective on Optimal Representations for Reinforcement Learning
- Deep Learning without Weight Transport
- Adversarial Examples Are Not Bugs, They Are Features
- Deep Learning for Bug-Localization in Student Programs
- Weight Agnostic Neural Networks
- Stand-Alone Self-Attention in Vision Models
- ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
- Deep Equilibrium Models
- Quality Aware Generative Adversarial Networks
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View Code? Open in Web Editor NEW"Mechanism and function are the eternal yin and yang of biology: they interact and intertwine, yet there is no greater sin than confusing the two."― Frans de Waal