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Machine Learning Street Talk (MLST), 272 episodes. Page 3 of 3.

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201

#72 Prof. KEN STANLEY 2.0 - On Art and Subjectivity [UNPLUGGED]

202

#71 - ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED]

203

#70 - LETITIA PARCALABESCU - Symbolics, Linguistics [UNPLUGGED]

204

#69 DR. THOMAS LUX - Interpolation of Sparse High-Dimensional Data

205

#68 DR. WALID SABA 2.0 - Natural Language Understanding [UNPLUGGED]

206

#67 Prof. KARL FRISTON 2.0

207

#66 ALEXANDER MATTICK - [Unplugged / Community Edition]

208

#65 Prof. PEDRO DOMINGOS [Unplugged]

209

#64 Prof. Gary Marcus 3.0

210

#063 - Prof. YOSHUA BENGIO - GFlowNets, Consciousness & Causality

211

#062 - Dr. Guy Emerson - Linguistics, Distributional Semantics

212

061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)

213

#60 Geometric Deep Learning Blueprint (Special Edition)

214

#59 - Jeff Hawkins (Thousand Brains Theory)

215

#58 Dr. Ben Goertzel - Artificial General Intelligence

216

#57 - Prof. Melanie Mitchell - Why AI is harder than we think

217

#56 - Dr. Walid Saba, Gadi Singer, Prof. J. Mark Bishop (Panel discussion)

218

#55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).

219

#54 Gary Marcus and Luis Lamb - Neurosymbolic models

220

#53 Quantum Natural Language Processing - Prof. Bob Coecke (Oxford)

221

#52 - Unadversarial Examples (Hadi Salman, MIT)

222

#51 Francois Chollet - Intelligence and Generalisation

223

#50 Christian Szegedy - Formal Reasoning, Program Synthesis

224

#49 - Meta-Gradients in RL - Dr. Tom Zahavy (DeepMind)

225

#48 Machine Learning Security - Andy Smith

226

047 Interpretable Machine Learning - Christoph Molnar

227

#046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)

228

#045 Microsoft's Platform for Reinforcement Learning (Bonsai)

229

#044 - Data-efficient Image Transformers (Hugo Touvron)

230

#043 Prof J. Mark Bishop - Artificial Intelligence Is Stupid and Causal Reasoning won't fix it.

231

#042 - Pedro Domingos - Ethics and Cancel Culture

232

#041 - Biologically Plausible Neural Networks - Dr. Simon Stringer

233

#040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)

234

#039 - Lena Voita - NLP

235

#038 - Professor Kenneth Stanley - Why Greatness Cannot Be Planned

236

#037 - Tour De Bayesian with Connor Tann

237

#036 - Max Welling: Quantum, Manifolds & Symmetries in ML

238

#035 Christmas Community Edition!

239

#034 Eray Özkural- AGI, Simulations & Safety

240

#033 Prof. Karl Friston - The Free Energy Principle

241

#032- Simon Kornblith / GoogleAI - SimCLR and Paper Haul!

242

#031 WE GOT ACCESS TO GPT-3! (With Gary Marcus, Walid Saba and Connor Leahy)

243

#030 Multi-Armed Bandits and Pure-Exploration (Wouter M. Koolen)

244

#029 GPT-3, Prompt Engineering, Trading, AI Alignment, Intelligence

245

NLP is not NLU and GPT-3 - Walid Saba

246

AI Alignment & AGI Fire Alarm - Connor Leahy

247

Kaggle, ML Community / Engineering (Sanyam Bhutani)

248

Sara Hooker - The Hardware Lottery, Sparsity and Fairness

249

The Social Dilemma Part 3 - Dr. Rebecca Roache

250

The Social Dilemma - Part 1

251

Capsule Networks and Education Targets

252

Programming Languages, Software Engineering and Machine Learning

253

Computation, Bayesian Model Selection, Interactive Articles

254

Kernels!

255

Explainability, Reasoning, Priors and GPT-3

256

SWaV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (Mathilde Caron)

257

UK Algoshambles, Neuralink, GPT-3 and Intelligence

258

Sayak Paul

259

Robert Lange on NN Pruning and Collective Intelligence

260

WelcomeAIOverlords (Zak Jost)

261

Facebook Research - Unsupervised Translation of Programming Languages

262

Francois Chollet - On the Measure of Intelligence

263

OpenAI GPT-3: Language Models are Few-Shot Learners

264

Jordan Edwards: ML Engineering and DevOps on AzureML

265

One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)

266

Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning

267

ICLR 2020: Yoshua Bengio and the Nature of Consciousness

268

ICLR 2020: Yann LeCun and Energy-Based Models

269

The Lottery Ticket Hypothesis with Jonathan Frankle

270

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

271

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

272

Exploring Open-Ended Algorithms: POET