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Workshop
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Beyond Confidence: Reliable Models Should Also Consider Atypicality
Mert Yuksekgonul · Linjun Zhang · James Zou · Carlos Guestrin
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Workshop
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An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations
Jonathan Erskine · Raul Santos-Rodriguez · Alexander Hepburn · Matt Clifford
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Workshop
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Fri 16:30
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Invited Talk 3: Meta-Learning Reliable Priors for Interactive Learning
Jonas Rothfuss
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Workshop
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Reliable coarse-grained turbulent simulations through combined offline learning and neural emulation
Chris Pedersen · Laure Zanna · Joan Bruna · Pavel Perezhogin
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Poster
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Thu 16:30
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Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver
Xinyu Ye · Ge Yan · Junchi Yan
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Poster
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Tue 17:00
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Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
Yuxin Tang · Zhimin Ding · Dimitrije Jankov · Binhang Yuan · Daniel Bourgeois · Chris Jermaine
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Poster
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Tue 17:00
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Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems
Chawin Sitawarin · Florian Tramer · Nicholas Carlini
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Poster
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Wed 17:00
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Forget Unlearning: Towards True Data-Deletion in Machine Learning
Rishav Chourasia · Neil Shah
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Oral
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Wed 19:48
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Inflow, Outflow, and Reciprocity in Machine Learning
Mukund Sundararajan · Walid Krichene
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Invited Talk
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Tue 19:00
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Machine Learning with Social Purpose
Shakir Mohamed
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Poster
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Tue 14:00
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Inflow, Outflow, and Reciprocity in Machine Learning
Mukund Sundararajan · Walid Krichene
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Poster
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Tue 17:00
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Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable
Baoluo Sun · Yifan Cui · Eric Tchetgen Tchetgen
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