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Poster
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Thu 16:30
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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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Workshop
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Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
Jiachen Wang · Ruoxi Jia
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Poster
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Wed 17:00
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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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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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Workshop
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An interpretable data augmentation framework for improving generative modeling of synthetic clinical trial data
Afrah Shafquat · Mandis Beigi · Chufan Gao · Jason Mezey · Jimeng Sun · Jacob Aptekar
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Affinity Workshop
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Mon 19:15
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Convolutional neural network regression to estimate the mass parameter of astrophysical binary black hole systems
Andres Antelis · Claudia Moreno
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Poster
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Thu 16:30
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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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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
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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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Workshop
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Sat 12:00
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Duality Principles for Modern Machine Learning
Thomas Moellenhoff · Zelda Mariet · Mathieu Blondel · Khan Emtiyaz
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Workshop
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Fri 16:40
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GRIL: A 22-parameter Persistence Based Vectorization for Machine Learning
Shreyas N. Samaga
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Workshop
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Sat 13:30
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The pulse of ethical machine learning and health
Marzyeh Ghassemi
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