Advanced Lessons

Innovating Neural Machine Translation with Arul Menezes - #458

Towards a Systems-Level Approach to Fair ML with Sarah M. Brown - #456

System Design for Autonomous Vehicles with Drago Anguelov - #454

Innovating Neural Machine Translation with Arul Menezes - #458

System Design for Autonomous Vehicles with Drago Anguelov - #454 - Audio Only

Off-Line, Off-Policy RL for Real-World Decision Making at Facebook - #448

Trends in Computer Vision with Pavan Turaga - #444

Trends in Reinforcement Learning with Pablo Samuel Castro - #443

MOReL: Model-Based Offline Reinforcement Learning with Aravind Rajeswaran - #442

Natural Graph Networks with Taco Cohen - #440

Common Sense as an Algorithmic Framework with Dileep George - #430

Pixels to Concepts with Backpropagation w/ Roland Memisevic - #427

Benchmarking ML with MLPerf w/ Peter Mattson - #434

NLP for Equity Investing with Frank Zhao - #424

#TWIMLfest: Computer Vision Office Hours

#TWIMLfest: Accessibility and Computer Vision

#TWIMLfest: Office Hours - Reinforcement Learning

#TWIMLfest: Live Watch Party and AMA with Milind Tambe

#TWIMLfest: Deep Learning in Medical Imaging

#TWIMLfest: Office Hours - Natural Language Processing

#TWIMLfest: Live Keynote Interview with Suzana Ilić

#TWIMLfest: Live Keynote Interview with Shakir Mohamed - #418

Spatial Analysis for Real-Time Video Processing with Adina Trufinescu - #417

That's a VIBE: ML for Human Pose and Shape Estimation with Nikos Athanasiou, Muhammed Kocabas,...

Model Explainability Forum

Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems w/ Hal Daumé - #395

Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems with Hal Daumé

The Case for Hardware-ML Model Co-design with Diana Marculescu - #391

Channel Gating for Cheaper and More Accurate Neural Nets with Babak Ehteshami Bejnordi - #385

Neural Arithmetic Units & Experiences as an Independent ML Researcher with Andreas Madsen - #382

Engineering a Less Artificial Intelligence with Andreas Tolias - #379

Rethinking Model Size: Train Large, Then Compress with Joseph Gonzalez - #378

Understanding the COVID-19 Data Quality Problem with Sherri Rose - #374

Panel: Responsible Data Science in the Fight Against COVID-19 - #370

AI for Social Good: Why “Good” isn’t Enough with Ben Green - #368

Neural Architecture Search and Google’s New AutoML Zero with Quoc Le - #366

Neural Ordinary Differential Equations with David Duvenaud - #364

Learning Visiolinguistic Representations with ViLBERT w/ Stefan Lee - #358

Advancements in Machine Learning with Sergey Levine - #355

NLP for Mapping Physics Research with Matteo Chinazzi - #353

Networking Optimizations for Multi-Node Deep Learning on Kubernetes with Erez Cohen - #345

Managing Research Needs at the University of Michigan using Kubernetes w/ Bob Killen - #344

PaccMann^RL: Designing Anticancer Drugs with Reinforcement Learning w/ Jannis Born - #341

Social Intelligence with Blaise Aguera y Arcas - #340

Trends in Natural Language Processing with Nasrin Mostafazadeh - #337

Trends in Fairness and AI Ethics with Timnit Gebru - #336

Trends in Machine Learning & Deep Learning with Zack Lipton - #334

FaciesNet & Machine Learning Applications in Energy with Mohamed Sidahmed - #333