LIVE
[Private video]
2:33:32
Francois Chollet - On the Measure Of Intelligence
Machine Learning Street Talk
1:51:48
OpenAI GPT-3: Language Models are Few-Shot Learners
1:12:52
Jordan Edwards: ML Engineering and DevOps on AzureML
1:38:26
Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning
2:34:18
ICLR 2020: Yoshua Bengio and the Nature of Consciousness
2:12:12
ICLR 2020: Yann LeCun and Energy-Based Models
1:26:44
The Lottery Ticket Hypothesis with Jonathan Frankle
1:40:09
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
1:14:43
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
1:12:57
Exploring Open-Ended Algorithms: POET
2:35:06
#59 JEFF HAWKINS - Thousand Brains Theory
53:16
OpenAI Codex (With Yannic Kilcher, Connor Leahy, Walid Saba)
2:28:14
#58 Dr. Ben Goertzel - Artificial General Intelligence
2:31:22
#57 - Prof. MELANIE MITCHELL - Why AI is harder than we think
1:11:23
#56 - Dr. Walid Saba, Gadi Singer, Prof. J. Mark Bishop (Panel discussion)
1:36:22
#55 Dr. ISHAN MISRA - Self-Supervised Vision Models
2:24:13
#54 Prof. GARY MARCUS + Prof. LUIS LAMB - Neurosymbolic models
2:17:52
#53 Prof. BOB COECKE - Quantum Natural Language Processing
1:48:26
#52 - Dr. HADI SALMAN - Adversarial Examples Beyond Security [MIT]
2:01:54
#51 FRANCOIS CHOLLET - Intelligence and Generalisation
1:33:29
#50 Dr. CHRISTIAN SZEGEDY - Formal Reasoning, Program Synthesis
1:25:20
#49 - Meta-Gradients in RL - Dr. Tom Zahavy (DeepMind)
37:31
#48 Machine Learning Security - Andy Smith
1:40:22
#047 Interpretable Machine Learning - Christoph Molnar
1:40:07
#046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)
52:26
#044 - Data-efficient Image Transformers (Hugo Touvron)
1:35:24
#043 Prof J. Mark Bishop - Artificial Intelligence Is Stupid and Causal Reasoning won't fix it.
1:34:00
#042 - Prof Pedro Domingos
1:27:06
#041 Dr. SIMON STRINGER - Biologically Plausible Neural Networks
1:36:16
#040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)
1:58:22
039 - Lena Voita - NLP
2:46:27
#038 - Prof. KENNETH STANLEY - Why Greatness Cannot Be Planned
1:35:26
#037 - Tour De Bayesian with Connor Tann
1:42:32
#036 - Max Welling: Quantum, Manifolds & Symmetries in ML
1:51:25
#033 Karl Friston - The Free Energy Principle
1:30:29
#032- Simon Kornblith / GoogleAI - SimCLR and Paper Haul!
3:57:17
WE GOT ACCESS TO GPT-3! [Epic Special Edition]
1:48:19
#030 Multi-Armed Bandits and Pure-Exploration
2:20:33
NLP is not NLU and GPT-3 - Walid Saba
2:04:50
AI Alignment & AGI Fire Alarm - Connor Leahy
1:19:29
Sara Hooker - The Hardware Lottery, Sparsity and Fairness
1:37:30
Kernels!
1:27:37
SWaV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (Mathilde Caron)
1:58:02
WelcomeAIOverlords (Zak Jost)
3:33:23
GEOMETRIC DEEP LEARNING BLUEPRINT
