Paper Reviews

A Simple Framework for Contrastive Learning of Visual Representations
A critique of pure learning and what artificial neural networks can learn from animal brains
Entity Abstraction in Visual Model-Based Reinforcement Learning
How Evolution May Work Through Curiosity-Driven Developmental Process
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans
Control What You Can: Intrinsically Motivated Task-Planning Agent
Learning Physical Graph Representations from Visual Scenes
Compositional Video Prediction
Embodied Multimodal Multitask Learning