Advanced Lessons

Model Quantization for Edge Devices with AIMET

Multi-Device, Multi-Use-Case Optimization with Jeff Gehlhaar - #587

Causal Conceptions of Fairness and their Consequences with Sharad Goel - #586

Brain-Inspired Hardware and Algorithm Co-Design with Melika Payvand - #585

Equivariant Priors for Compressed Sensing with Arash Behboodi - #584

On The Path Towards Robot Vision with Aljosa Osep - #581

Optical Flow Estimation, Panoptic Segmentation, and Vision Transformers with Fatih Porikli - #579

Data Debt in Machine Learning with D. Sculley - #574

Advances in Neural Compression with Auke Wiggers - #570

Mixture-of-Experts and Trends in Large-Scale Language Modeling with Irwan Bello - #569

Hierarchical and Continual RL with Doina Precup - #567

Full-Stack AI Systems Development with Murali Akula - #563

100x Improvements in Deep Learning Performance with Sparsity with Subutai Ahmad - #562

Deep Reinforcement Learning at the Edge of the Statistical Precipice with Rishabh Agarwal - #559

Solving the Cocktail Party Problem with Machine Learning, w/ ‪Jonathan Le Roux - #555

A Universal Law of Robustness via Isoperimetry with Sebastien Bubeck - #551

Deep Learning, Transformers, and the Consequences of Scale with Oriol Vinyals - #546

Optimization School with Dr. Mike - #545

Multi-modal Deep Learning for Complex Document Understanding with Doug Burdick - #541

Building a Deep Tech Startup in NLP with Nasrin Mostafazadeh - #539

The Benefit of Bottlenecks in Evolving Artificial Intelligence with David Ha - #535

Facebook Abandons Facial Recognition. Should Everyone Else Follow Suit? With Luke Stark - #534

Attacking Malware with Adversarial Machine Learning, w/ Edward Raff - #529

Advancing Deep Reinforcement Learning with NetHack, w/ Tim Rocktäschel - #527

Deep Learning is Eating 5G. Here’s How, w/ Joseph Soriaga - #525

Modeling Human Cognition with RNNs and Curriculum Learning - Interview with Kanaka Rajan - 524

Generating SQL [Database Queries] from Natural Language with Yanshuai Cao - #519

Deep Reinforcement Learning for Game Testing at EA with Konrad Tollmar - #517

Advancing Robotic Brains and Bodies with Daniela Rus - #515

A Social Scientist’s Perspective on AI with Eric Rice - #511

Applications of Variational Autoencoders and Bayesian Optimization w/ J. M. Hernández Lobato - #510

Codex, OpenAI’s Automated Code Generation API with Greg Brockman - 509

Spatiotemporal Data Analysis with Rose Yu - #508

Parallelism and Acceleration for Large Language Models with Bryan Catanzaro - #507

Constraint Active Search for Human-in-the-Loop Optimization with Gustavo Malkomes - #505

Evolving AI Systems Gracefully with Stefano Soatto - #502

Vector Quantization for NN Compression with Julieta Martinez - #498

Skip-Convolutions for Efficient Video Processing with Amir Habibian - #496

Advancing NLP with Project Debater w/ Noam Slonim - #495

Using AI to Map the Human Immune System w/ Jabran Zahid - #485

Learning Long-Time Dependencies with RNNs w/ Konstantin Rusch - #484

Probabilistic Numeric CNNs with Roberto Bondesan - #482

AI Storytelling Systems with Mark Riedl - #478

Creating Robust Language Representations with Jamie Macbeth - #477

Pre-trained Transformers as Universal Computation Engines - Clips - #476

Can Language Models Be Too Big? 🦜with Emily Bender and Margaret Mitchell - #467

Robust Visual Reasoning with Adriana Kovashka - #463

Common Sense Reasoning in NLP with Vered Shwartz - #461