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261 Results
Workshop
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Predicting Properties of Amorphous Solids with Graph Network Potentials Muratahan Aykol · Jennifer Wei · Simon Batzner · Amil Merchant · Ekin Dogus Cubuk |
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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 |
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Workshop
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Neural Modulation Fields for Conditional Cone Beam Neural Tomography Samuele Papa · David Knigge · Riccardo Valperga · Nikita Moriakov · Miltiadis (Miltos) Kofinas · Jan-jakob Sonke · Efstratios Gavves |
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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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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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Workshop
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Machine Learning with Feature Differential Privacy Saeed Mahloujifar · Chuan Guo · G. Edward Suh · Kamalika Chaudhuri |
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Poster
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Thu 16:30 |
The Unreasonable Effectiveness of Few-shot Learning for Machine Translation Xavier Garcia · Yamini Bansal · Colin Cherry · George Foster · Maxim Krikun · Melvin Johnson · Orhan Firat |
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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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Workshop
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Investigating minimizing the training set fill distance in machine learning regression Paolo Climaco · Jochen Garcke |
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Workshop
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Towards Modular Machine Learning Pipelines Aditya Modi · JIVAT NEET KAUR · Maggie Makar · Pavan Mallapragada · Amit Sharma · Emre Kiciman · Adith Swaminathan |
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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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Oral
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Wed 19:48 |
Inflow, Outflow, and Reciprocity in Machine Learning Mukund Sundararajan · Walid Krichene |