The Transformer Family Version 2.0
Large Transformer Model Inference Optimization
Some Math behind Neural Tangent Kernel
Generalized Visual Language Models
Learning with not Enough Data Part 3: Data Generation
Learning with not Enough Data Part 2: Active Learning
Learning with not Enough Data Part 1: Semi-Supervised Learning
How to Train Really Large Models on Many GPUs?
What are Diffusion Models?
Contrastive Representation Learning
Reducing Toxicity in Language Models
Controllable Neural Text Generation
How to Build an Open-Domain Question Answering System?
Neural Architecture Search
Exploration Strategies in Deep Reinforcement Learning
Curriculum for Reinforcement Learning
Self-Supervised Representation Learning
Meta Reinforcement Learning
Domain Randomization for Sim2Real Transfer
Are Deep Neural Networks Dramatically Overfitted?
Generalized Language Models
Object Detection Part 4: Fast Detection Models
Meta-Learning: Learning to Learn Fast
Flow-based Deep Generative Models
From Autoencoder to Beta-VAE
Implementing Deep Reinforcement Learning Models with Tensorflow + OpenAI Gym
Policy Gradient Algorithms
A (Long) Peek into Reinforcement Learning
The Multi-Armed Bandit Problem and Its Solutions
Object Detection for Dummies Part 3: R-CNN Family
Object Detection for Dummies Part 2: CNN, DPM and Overfeat
Object Detection for Dummies Part 1: Gradient Vector, HOG, and SS
Anatomize Deep Learning with Information Theory
How to Explain the Prediction of a Machine Learning Model?
Predict Stock Prices Using RNN: Part 2
Predict Stock Prices Using RNN: Part 1
An Overview of Deep Learning for Curious People