29:48

How AI Powers Self-Driving Tesla with Elon Musk and Andrej Karpathy

27:39

Tesla AI Andrej Karpathy on Scalability in Autonomous Driving

37:56

Yann LeCun: Turing Award Lecture "The Deep Learning Revolution: The Sequel"

32:28

Geoffrey Hinton: Turing Award Lecture "The Deep Learning Revolution"

37:31

Microsoft CEO Satya Nadella CVPR 2020

21:02

David Duvenaud | Reflecting on Neural ODEs | NeurIPS 2019

56:36

Yoshua Bengio | From System 1 Deep Learning to System 2 Deep Learning | NeurIPS 2019

25:34

NeurIPS 2019 Test of Time Award - Lin Xiao

22:51

NIPS 2017 Test of Time Award "Machine learning has become alchemy.” | Ali Rahimi, Google

01:02:56

Yann LeCun, Christopher Manning on Innate Priors in Deep Learning Systems at Stanford AI

03:43

Meet Geoffrey Hinton, U of T's Godfather of Deep Learning

54:33

Learning Representations: A Challenge for Learning Theory, COLT 2013 | Yann LeCun, NYU

57:44

Edward: Library for probabilistic modeling, inference, and criticism | Dustin Tran, Columbia Uni

04:41

Unrolled Generative Adversarial Networks, NIPS 2016 | Luke Metz, Google Brain

05:58

Semantic Segmentation using Adversarial Networks, NIPS 2016 | Pauline Luc, Facebook AI Research

04:14

Conditional Image Synthesis with Auxiliary Classifier GANs, NIPS 2016 | Augustus Odena, Google Brain

04:21

Connecting Generative Adversarial Networks and Actor Critic Methods, NIPS 2016 | David Pfau

04:54

Learning in Implicit Generative Models, NIPS 2016 | Shakir Mohamed, Google DeepMind

01:04:29

Convex Optimization with Abstract Linear Operators, ICCV 2015 | Stephen P. Boyd, Stanford

04:27

A Connection Between GANs, Inverse Reinforcement Learning, and Energy Based Models, NIPS 2016

05:43

Adversarial Training Methods for Semi-Supervised Text Classification, NIPS 2016 | Andrew M. Dai

26:06

Borrowing Ideas from Human Vision, ICCV 2015 PAMI Distinguished Researcher Award | David Lowe, UBC

31:59

How to train a GAN, NIPS 2016 | Soumith Chintala, Facebook AI Research

36:39

Energy-Based Adversarial Training and Video Prediction, NIPS 2016 | Yann LeCun, Facebook AI Research

32:07

It's Learning All the Way Down, ICCV 2015 PAMI Distinguished Researcher Award | Yann LeCun, NYU

31:25

Introduction to GANs, NIPS 2016 | Ian Goodfellow, OpenAI

19:20

Deep Learning for Predicting Human Strategic Behavior, NIPS 2016 | Jason Hartford, UBC

56:53

Predictive Learning, NIPS 2016 | Yann LeCun, Facebook Research

21:03

Using Fast Weights to Attend to the Recent Past, NIPS 2016 | Jimmy Ba, University of Toronto

34:22

f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization, NIPS 2016

01:04:10

Geoffrey Hinton: What is wrong with convolutional neural nets? | Fields Institute, 2017

39:46

Heroes of Deep Learning: Andrew Ng interviews Geoffrey Hinton

16:04

Heroes of Deep Learning: Andrew Ng interviews Pieter Abbeel

25:49

Heroes of Deep Learning: Andrew Ng interviews Yoshua Bengio

14:56

Heroes of Deep Learning: Andrew Ng interviews Ian Goodfellow

13:37

Heroes of Deep Learning: Andrew Ng interviews Head of Baidu Research, Yuanqing Lin

17:09

Heroes of Deep Learning: Andrew Ng interviews Director of AI Research at Apple, Ruslan Salakhutdinov

15:11

Heroes of Deep Learning: Andrew Ng interviews Andrej Karpathy

01:07:40

Large fixed order character sums by Youness Lamzouri

01:07:08

Lecture 3: Mini-course on multiplicative functions by Kaisa Matomäki & Maksym Radziwill

45:48

L-functions and spectral summation formulae for the symplectic group by Valentin Blomer

01:04:00

Lecture 2: The Kuznetsov Formula, Kloostermania and Applications by Ian Petrow

41:26

Variations on the Chebychev bias phenomenon [1/2] by Florent Jouve

43:39

Lecture 3a: The Kuznetsov Formula, Kloostermania and Applications by Ian Petrow

26:41

Variations on the Chebychev bias phenomenon [2/2] by Florent Jouve

01:06:58

Lecture 2: ℓ-adic Trace Functions in Analytic Number Theory by Philippe Michel

27:42

Lecture 3b: The Kuznetsov Formula, Kloostermania and Applications by Ian Petrow

53:13

On Epstein's zeta function and related results in the geometry of numbers by Anders Sodergren

15:21

Lecture 3: ℓ-adic Trace Functions in Analytic Number Theory by Philippe Michel

57:18

Lecture 2: Mini-course on multiplicative functions Kaisa Matomäki & Maksym Radziwill

01:02:14

Quadratic Twists of Elliptic Curves with 3 Torsion by Robert Lemke Oliver

59:04

A Glimpse at Arithmetic Quantum Chaos by Gergely Harcos

46:25

Lecture 25: Diophantine Problems in Number Theory by Professor Jacob Tsimerman

50:12

Lecture 26: Diophantine Problems in Number Theory by Professor Jacob Tsimerman

49:15

Lecture 28: Diophantine Problems in Number Theory by Professor Jacob Tsimerman

45:40

Lecture 29: Diophantine Problems in Number Theory by Professor Jacob Tsimerman

51:07

Lecture 19: Diophantine Problems in Number Theory by Professor Jacob Tsimerman

51:35

Lecture 22: Diophantine Problems in Number Theory by Professor Jacob Tsimerman

44:58

Lecture 24: Diophantine Problems in Number Theory by Professor Jacob Tsimerman

47:51

Lecture 23: Diophantine Problems in Number Theory by Professor Jacob Tsimerman