In the Archives
- Playing FPS Games with Deep Reinforcement Learning.
- Energy-based Generative Adversarial Network.
- On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima.
- SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient.
- Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge.
- Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning.
- Input Convex Neural Networks.
- SoftTarget Regularization: An Effective Technique to Reduce Over-Fitting in Neural Networks (and also DisturbLabel: Regularizing CNN on the Loss Layer).
In the News
- Next generation tools for data science.
- The Neural Network Zoo.
- Three Challenges for Artificial Intelligence in Medicine.
Interesting Videos
- Prof. Yann LeCun - Deep Learning and the Future of AI. "Unsupervised learning is the Dark Matter (Energy) of ML".
- Bay Area Deep Learning School Day 1 at CEMEX Auditorium, Stanford.
- Bay Area Deep Learning School Day 2 at CEMEX Auditorium, Stanford.
- Soumith Chintala's 'A path to unsupervised learning through adversarial networks'.
- Ian Goodfellow - Practical Methodology for Deploying Machine Learning.
Some Slides & Classes
Github
- OpenAI's cleverhans: A library for benchmarking vulnerability to adversarial examples.
- Implementation of Sequence Generative Adversarial Nets with Policy Gradient.
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning.
- A curated list of awesome deep learning applications in the field of neurological image analysis.
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning.