All episodes
#72 Prof. KEN STANLEY 2.0 - On Art and Subjectivity [UNPLUGGED]
#71 - ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED]
#70 - LETITIA PARCALABESCU - Symbolics, Linguistics [UNPLUGGED]
#69 DR. THOMAS LUX - Interpolation of Sparse High-Dimensional Data
#68 DR. WALID SABA 2.0 - Natural Language Understanding [UNPLUGGED]
#67 Prof. KARL FRISTON 2.0
#66 ALEXANDER MATTICK - [Unplugged / Community Edition]
#65 Prof. PEDRO DOMINGOS [Unplugged]
#64 Prof. Gary Marcus 3.0
#063 - Prof. YOSHUA BENGIO - GFlowNets, Consciousness & Causality
#062 - Dr. Guy Emerson - Linguistics, Distributional Semantics
061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)
#60 Geometric Deep Learning Blueprint (Special Edition)
#59 - Jeff Hawkins (Thousand Brains Theory)
#58 Dr. Ben Goertzel - Artificial General Intelligence
#57 - Prof. Melanie Mitchell - Why AI is harder than we think
#56 - Dr. Walid Saba, Gadi Singer, Prof. J. Mark Bishop (Panel discussion)
#55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).
#54 Gary Marcus and Luis Lamb - Neurosymbolic models
#53 Quantum Natural Language Processing - Prof. Bob Coecke (Oxford)
#52 - Unadversarial Examples (Hadi Salman, MIT)
#51 Francois Chollet - Intelligence and Generalisation
#50 Christian Szegedy - Formal Reasoning, Program Synthesis
#49 - Meta-Gradients in RL - Dr. Tom Zahavy (DeepMind)
#48 Machine Learning Security - Andy Smith
047 Interpretable Machine Learning - Christoph Molnar
#046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)
#045 Microsoft's Platform for Reinforcement Learning (Bonsai)
#044 - Data-efficient Image Transformers (Hugo Touvron)
#043 Prof J. Mark Bishop - Artificial Intelligence Is Stupid and Causal Reasoning won't fix it.
#042 - Pedro Domingos - Ethics and Cancel Culture
#041 - Biologically Plausible Neural Networks - Dr. Simon Stringer
#040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)
#039 - Lena Voita - NLP
#038 - Professor Kenneth Stanley - Why Greatness Cannot Be Planned
#037 - Tour De Bayesian with Connor Tann
#036 - Max Welling: Quantum, Manifolds & Symmetries in ML
#035 Christmas Community Edition!
#034 Eray Özkural- AGI, Simulations & Safety
#033 Prof. Karl Friston - The Free Energy Principle
#032- Simon Kornblith / GoogleAI - SimCLR and Paper Haul!
#031 WE GOT ACCESS TO GPT-3! (With Gary Marcus, Walid Saba and Connor Leahy)
#030 Multi-Armed Bandits and Pure-Exploration (Wouter M. Koolen)
#029 GPT-3, Prompt Engineering, Trading, AI Alignment, Intelligence
NLP is not NLU and GPT-3 - Walid Saba
AI Alignment & AGI Fire Alarm - Connor Leahy
Kaggle, ML Community / Engineering (Sanyam Bhutani)
Sara Hooker - The Hardware Lottery, Sparsity and Fairness
The Social Dilemma Part 3 - Dr. Rebecca Roache
The Social Dilemma - Part 1
Capsule Networks and Education Targets
Programming Languages, Software Engineering and Machine Learning
Computation, Bayesian Model Selection, Interactive Articles
Kernels!
Explainability, Reasoning, Priors and GPT-3
SWaV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (Mathilde Caron)
UK Algoshambles, Neuralink, GPT-3 and Intelligence
Sayak Paul
Robert Lange on NN Pruning and Collective Intelligence
WelcomeAIOverlords (Zak Jost)
Facebook Research - Unsupervised Translation of Programming Languages
Francois Chollet - On the Measure of Intelligence
OpenAI GPT-3: Language Models are Few-Shot Learners
Jordan Edwards: ML Engineering and DevOps on AzureML
One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)
Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning
ICLR 2020: Yoshua Bengio and the Nature of Consciousness
ICLR 2020: Yann LeCun and Energy-Based Models
The Lottery Ticket Hypothesis with Jonathan Frankle
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
Exploring Open-Ended Algorithms: POET