http://www.iro.umontreal.ca/~bengioy/yoshua_en/talks.html
Keynote speech at MSR Asia 20th anniversary and later at Tsinghua University, Beijing, Challenges for Deep Learning towards Human-Level AI November 7th, 2018.
MIT Hans-Lukas Teuber Memorial Lecture, Towards bridging the gap between deep learning and brains October 18th, 2018.
Lecture at the Deep Learning and Reinforcement Learning summer school DLRL'2018, in Toronto at the Vector Institute: Recurrent Nets and Attention for System 2 Processing, July 30th, 2018.
Lectures on July 19th 2018 at ICDL'2018 (Advanced Course on Data Science and Machine Learning): Lecture 1 (Deep Learning and AI), Lecture 2 (Deep Learning, Recurrent Nets and Attention for System 2 Processing), Lecture 3 (Unsupervised Representation Learning and Generative Adversarial Networks),
Talk at the ICML'2018 Workshop on Deep Generative Models Capturing Dependencies Implicitly, July 14th, 2018.
Talk at the ICML'2018 Workshop on Nonconvex Optimization On stochastic gradient descent, flatness and generalization, July 14th, 2018.
Talk at the ICML'2018 Workshop on Learning with Limited LabelsTowards disentangling underlying explanatory factors, July 13th, 2018.
Tutorial at IJCAI'2018 onDeep Learning for AI, July 13th, 2018.
Talk at FAIR-New York on A Pot-Pourri of Recent Advances at MILA July 6th, 2018.
Talk at NYU on GANs and Unsupervised Representation Learning March 19th, 2018.
Talk at the NIPS'2017 BigNeuro Workshop More Steps Towards Biologically Plausible Backprop, December 9th, 2017.
Talk at the University of Amsterdam, From Deep Learning of Disentangled Representations to Higher-Level Cognition, October 25th, 2017.
Heroes of Deep Learning: Andrew Ng interviews Yoshua Bengio, August 8th, 2017.
Talk at the Microsoft Research Faculty Summit, Deep Learning Research and the Future of AI, July 17, 2017.
其他：
AI尝试做判断题和填空题的效果
