(12 events)   Timezone: »  
The 2021 schedule is still incomplete Program Highlights »
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Tutorial
Mon Jul 19 08:00 AM -- 11:00 AM (PDT)
Social Implications of Large Language Models
Hal Daume · Kate Crawford
Tutorial
Mon Jul 19 08:00 AM -- 11:00 AM (PDT)
Continual learning with deep architectures
Vincenzo Lomonaco · Irina Rish
Tutorial
Mon Jul 19 08:00 AM -- 11:00 AM (PDT)
Synthetic Healthcare Data Generation and Assessment: Challenges, Methods, and Impact on Machine Learning
Ahmed M. Alaa · Mihaela van der Schaar
Tutorial
Mon Jul 19 08:00 AM -- 11:00 AM (PDT)
Self-Attention for Computer Vision
Aravind Srinivas · Prajit Ramachandran · Ashish Vaswani
Tutorial
Mon Jul 19 12:00 PM -- 03:00 PM (PDT)
Unsupervised Learning for Reinforcement Learning
Aravind Srinivas · Pieter Abbeel
Tutorial
Mon Jul 19 12:00 PM -- 03:00 PM (PDT)
Online and non-stochastic control
Elad Hazan
Tutorial
Mon Jul 19 12:00 PM -- 03:00 PM (PDT)
Random Matrix Theory and ML (RMT+ML)
Fabian Pedregosa · Jeffrey Pennington · Thomas Trogdon · Courtney Paquette
Tutorial
Mon Jul 19 12:00 PM -- 03:00 PM (PDT)
Responsible AI in Industry: Practical Challenges and Lessons Learned
Krishnaram Kenthapadi · Ben Packer · Mehrnoosh Sameki · Nashlie Sephus
Tutorial
Mon Jul 19 11:00 PM -- 02:00 AM (PDT)
Sparsity in Deep Learning: Pruning and growth for efficient inference and training
Torsten Hoefler · Dan Alistarh
Tutorial
Mon Jul 19 11:00 PM -- 02:00 AM (PDT)
From ML research to ML products: A path towards building models with real-world impact
Reza Khorshidi · Peyman Faratin
Tutorial
Mon Jul 19 11:00 PM -- 02:00 AM (PDT)
nlXAI: Explainable AI with Natural Language Explanations
Oana-Maria Camburu · Zeynep Akata
Tutorial
Mon Jul 19 11:00 PM -- 02:00 AM (PDT)
Privacy in learning: Basics and the interplay
Huishuai Zhang · Wei Chen