Archive

• Jun 7, 2020 - Exploration Strategies in Deep Reinforcement Learning
• The Transformer Family (Apr 7, 2020)
• Curriculum for Reinforcement Learning (Jan 29, 2020)
• Self-Supervised Representation Learning (Nov 10, 2019)
• Evolution Strategies (Sep 5, 2019)
• Meta Reinforcement Learning (Jun 23, 2019)
• Domain Randomization for Sim2Real Transfer (May 5, 2019)
• Are Deep Neural Networks Dramatically Overfitted? (Mar 14, 2019)
• Generalized Language Models (Jan 31, 2019)
• Object Detection Part 4: Fast Detection Models (Dec 27, 2018)
• Meta-Learning: Learning to Learn Fast (Nov 30, 2018)
• Flow-based Deep Generative Models (Oct 13, 2018)
• From Autoencoder to Beta-VAE (Aug 12, 2018)
• Attention? Attention! (Jun 24, 2018)
• Implementing Deep Reinforcement Learning Models with Tensorflow + OpenAI Gym (May 5, 2018)
• Policy Gradient Algorithms (Apr 8, 2018)
• A (Long) Peek into Reinforcement Learning (Feb 19, 2018)
• The Multi-Armed Bandit Problem and Its Solutions (Jan 23, 2018)
• Object Detection for Dummies Part 3: R-CNN Family (Dec 31, 2017)
• Object Detection for Dummies Part 2: CNN, DPM and Overfeat (Dec 15, 2017)
• Object Detection for Dummies Part 1: Gradient Vector, HOG, and SS (Oct 29, 2017)
• Learning Word Embedding (Oct 15, 2017)
• Anatomize Deep Learning with Information Theory (Sep 28, 2017)
• From GAN to WGAN (Aug 20, 2017)
• How to Explain the Prediction of a Machine Learning Model? (Aug 1, 2017)
• Predict Stock Prices Using RNN: Part 2 (Jul 22, 2017)
• Predict Stock Prices Using RNN: Part 1 (Jul 8, 2017)
• An Overview of Deep Learning for Curious People (Jun 21, 2017)