Archive

Prompt Engineering

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

The Transformer Family

Curriculum for Reinforcement Learning

Self-Supervised Representation Learning

Evolution Strategies

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

Attention? Attention!

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

Learning Word Embedding

Anatomize Deep Learning with Information Theory

From GAN to WGAN

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