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Brief History of Visual Representation Learning

Learning Visual Representations from Uncurated Data

Hyperbolic Deep Reinforcement Learning

A Unified Framework for Computer Vision Tasks: (Conditional) Generative Model is All You Need

Self-supervised Learning Lecture Note

Deep Learning Theory Seminar (Chap 3, part 2)

Deep Learning Theory Seminar (Chap 1-2, part 1)

Introduction to Diffusion Models

Object-Region Video Transformers

Deep Implicit Layers: Learning Structured Problems with Neural Networks

Learning Theory 101 ...and Towards Learning the Flat Minima

Sharpness-aware minimization (SAM)

Explicit Density Models

Score-Based Generative Modeling through Stochastic Differential Equations

Self-Attention with Linear Complexity