NIPS 2017

Accumulation of sources from NIPS 2017 in Long Beach, CA. Check out more about NIPS on https://nips.cc/

Currently collecting and feel free to pull requests, make issues or give feedbacks!

Table of Contents

• Tutorials
• Invited Talks
• Symposiums and Workshops
• Orals and Spotlights
• Blogs and Podcasts

Tutorials

• Deep Learning: Practice and Trends by Nando de Freitas, Scott Reed, Oriol Vinyals

  [Facebook_Video] · [Youtube] · [Slides]

• Reinforcement Learning with People by Emma Brunskill

  [Facebook_Video] · Youtube · Slides

• A Primer on Optimal Transport by Marco Cuturi, Justin M Solomon

  Facebook_Video · Youtube · Slides

• Deep Probabilistic Modelling with Gaussian Processes by Neil D Lawrence

  [Facebook_Video] · Youtube · [Slides]

• Fairness in Machine Learning by Solon Barocas, Moritz Hardt

  Facebook_Video · Youtube · [Slides]

• Statistical Relational Artificial Intelligence: Logic, Probability and Computation by Luc De Raedt, David Poole, Kristian Kersting, Sriraam Natarajan

  [Facebook_Video] · Youtube · Slides

• Engineering and Reverse-Engineering Intelligence Using Probabilistic Programs, Program Induction, and Deep Learning by Josh Tenenbaum, Vikash K Mansinghka

  [Facebook_Video] · Youtube · Slides

• Differentially Private Machine Learning: Theory, Algorithms and Applications by Kamalika Chaudhuri, Anand D Sarwate

  Facebook_Video · Youtube · Slides

• Geometric Deep Learning on Graphs and Manifolds by Michael Bronstein, Joan Bruna, arthur szlam, Xavier Bresson, Yann LeCun

  Facebook_Video · Youtube · Slides

  This website is a treasure box for geometric deep learning. Check out http://geometricdeeplearning.com/

Invited Talks

• Opening Remarks / Powering the next 100 years by Terrence Sejnowki / John Platt

  [Facebook_Video] · Youtube · Slides

• Why AI Will Make it Possible to Reprogram the Human Genome by Brendan J Frey

  [Facebook_Video] · [Youtube] · Slides

• Random Features for Large-Scale Kernel Machines by Ali Rahimi, Benjamin Recht (Test of Time Award)

  Facebook_Video · [Youtube] · Slides · [Related Blog by inFERENCe]

• The Trouble with Bias by Kate Crawford

  Facebook_Video · [Youtube] · Slides

• The Unreasonable Effectiveness of Structure by Lise Getoor

  [Facebook_Video] · [Youtube] · Slides

• Deep Learning for Robotics by Pieter Abbeel

  [Facebook_Video] · Youtube · [Slides]

• Learning State Representations by Yael Niv

  [Facebook_Video] · Youtube · Slides

• On Bayesian Deep Learning and Deep Bayesian Learning by Yee Whye Teh

  [Facebook_Video] · [Youtube] · Slides

Symposiums and Workshops

• AlphaZero - Mastering Games without human knowledge by David Silver

  Facebook_Video · [Youtube] · Slides

• GANs for Creativity and Design by Ian Goodfellow

  Facebook_Video · Youtube · [Slides]

• Machine Learning for Systems and Systems for Machine Learning by Jeff Dean

  Facebook_Video · Youtube · [Slides]

• NSML: A Machine Learning Platform That Enables You to Focus on Your Models by Nako Sung

  Facebook_Video · [Youtube] · Slides

• Teaching Artificial Intelligence to Run (NIPS 2017) by CrowdAI

  Facebook_Video · [Youtube] · Slides

Orals and Spotlights

• Videos of a number of papers

  [Video]

Blogs and Podcasts

• NIPS 2017 — notes and thoughs by Olgalitech https://olgalitech.wordpress.com/2017/12/12/nips-2017-notes-and-thoughs/

• NIPS 2017 Notes by David Abel https://cs.brown.edu/~dabel/blog/posts/misc/nips_2017.pdf

• 데이터지능 팟캐스트 E6: Deep learning in NIPS2017 hosted by Jin Young Kim and Terry Um (in Korean) https://www.youtube.com/watch?v=Vm0gQ2eUtBs

• NIPS 2017 Summary! (unless an "official" one gets posted, and then remove this dreck) https://www.reddit.com/r/MachineLearning/comments/7j2v74/d_nips_2017_summary_unless_an_official_one_gets/