Awesome NeurIPS - A list of useful links for NeurIPS 2018 (NIPS 2018)

Tutorials

Blogger's summary

• Each day’s summary from Harold

Youtube link

• Unsupervised Deep Learning
• What Bodies Think About: Bioelectric Computation Outside the Nervous System
• Scalable Bayesian Inference
• Visualization for Machine Learning
• Adversarial Robustness - Theory and Practice
• Common Pitfalls for Studying the Human Side of Machine Learning

Tutorials slides

• Most tutorial slides are here
• Tutorial on causal inference
• Visualization for Machine Learning

Invited Talk

• Reproducible, Reusable, and Robust Reinforcement Learning

Workshops

• Deep Reinforcement Learning
• Infer to Control: Probabilistic Reinforcement Learning and Structured Control
• Reinforcement Learning under Partial Observability
• Wordplay: Reinforcement and Language Learning in Text-based Games
• Imitation Learning and its Challenges in Robotics

Here are some related workshop in ICML 2018

• Exploration in RL
• Goal Specifications for Reinforcement Learning
• Lifelong Learning: A Reinforcement Learning Approach
• Prediction and Generative Modeling in Reinforcement Learning
• Efficient Credit Assignment in Deep Learning and Deep Reinforcement Learning

AutoML

• Automl.org Most of the slides are available at automl.org/events -> autoML tutorial.
• the second part of the AutoML tutorial (the metalearning part from joaquin vanschoren)
• Here’s the written version of the metalearning part
• Automatic Machine Learning has (AutoML): A Tutorial

Reinforcement Learning

• Deep Reinforcement Learning
• Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
• AWS DeepRacer – Go Hands-On with Reinforcement Learning
• Reinforcement Learning Coach + AWS SageMaker = Accelerated Deep Reinforcement Learning

Unsupervised Deep Learning

• Tutorial slides

Autonomous driving

• Fully Self-driving Vehicles Aren’t Ready For Road Tests Yet

meta-Learning

• Workshop on Meta-Learning (MetaLearn 2018)
• Accepted paper on MetaLearn 2018

interesting related papers

• Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Conversational AI

We will be presenting our work in the field of Conversational AI including information retrieval and deep learning via the Indian human-like AI engine, Ruuh (https://www.ruuh.ai), on Tuesday, 2nd Dec in room 510 ABCD #D3 from 10:45 to 12:45 and 5:30 to 7:30. Please visit and provide your feedback.

• Link to the paper for reference
• If you are interested in this topic, I highly recommend this workshop
• All accepted papers are available for download.