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Search All 2021 Events
Filter by Keyword:
Active Learning
Adversarial Robustness and Security
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Affinity Workshop
Semantic Code Classification for Automated Machine Learning
Polina A. Guseva · Anastasia Drozdova
Workshop
Mon 10:40
Communication-Efficient Federated Learning for Neural Machine Translation
Tanya Roosta · Peyman Passban · Ankit Chadha
Workshop
Communication-Efficient Federated Learning for Neural Machine Translation
Tanya Roosta · Peyman Passban · Ankit Chadha
Workshop
Quantum Machine Learning for Radio Astronomy
Mohammad Kordzanganeh · Anna Scaife
Workshop
Math Programming based Reinforcement Learning for Multi-Echelon Inventory Management
Pavithra Harsha · Ashish Jagmohan · Jayant Kalagnanam · Brian Quanz · Divya Singhvi
Workshop
Mon 6:34
Implications of Modeled Beliefs for Algorithmic Fairness in Machine Learning
Ruth Urner · Jeff Edmonds · Karan Singh
Workshop
Scaling Up Machine Learning For Quantum Field Theory with Equivariant Continuous Flows
Pim de Haan · Roberto Bondesan
Workshop
Mon 9:30
The Many Roles that Causal Reasoning Plays in Reasoning about Fairness in Machine Learning
Irene Y Chen · Hal Daumé III · Solon Barocas
Poster
Tue 16:30
Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions
Alejandro Carderera · Mathieu Besançon · Sebastian Pokutta
Workshop
Can machines learn to see without visual databases?
Panel
Mon 23:00
The Consequences of Massive Scaling in Machine Learning
Noah Goodman · Melanie Mitchell · Joelle Pineau · Oriol Vinyals · Jared Kaplan
Workshop
Tue 11:00
Dependent Types for Machine Learning in Dex - David Duvenaud - University of Toronto
David Duvenaud · AIPLANS 2021
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