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148 Results
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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 12:00 |
The Synergy of Scientific and Machine Learning Modelling (SynS & ML) Workshop Antoine Wehenkel · Jörn Jacobsen · Emily Fox · Anuj Karpatne · Victoriya Kashtanova · Xuan Di · Emmanuel de Bézenac · Naoya Takeishi · Gilles Louppe |
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Poster
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Tue 17:00 |
Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems Chawin Sitawarin · Florian Tramer · Nicholas Carlini |
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Oral
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Wed 19:48 |
Inflow, Outflow, and Reciprocity in Machine Learning Mukund Sundararajan · Walid Krichene |
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Poster
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Thu 16:30 |
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 |
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 |
Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable Baoluo Sun · Yifan Cui · Eric Tchetgen Tchetgen |
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Poster
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Wed 17:00 |
Effectively Using Public Data in Privacy Preserving Machine Learning Milad Nasresfahani · Saeed Mahloujifar · Xinyu Tang · Prateek Mittal · Amir Houmansadr |
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Poster
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Wed 17:00 |
Forget Unlearning: Towards True Data-Deletion in Machine Learning Rishav Chourasia · Neil Shah |
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Invited Talk
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Tue 19:00 |
Machine Learning with Social Purpose Shakir Mohamed |
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Poster
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Tue 14:00 |
Inflow, Outflow, and Reciprocity in Machine Learning Mukund Sundararajan · Walid Krichene |
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Poster
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Thu 16:30 |
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines Siyuan Chen · Pratik Fegade · Tianqi Chen · Phillip Gibbons · Todd Mowry |