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!
-
Deep Learning: Practice and Trends by Nando de Freitas, Scott Reed, Oriol Vinyals
-
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/
-
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
-
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
-
Videos of a number of papers
-
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/