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Workshop
Predicting Properties of Amorphous Solids with Graph Network Potentials
Muratahan Aykol · Jennifer Wei · Simon Batzner · Amil Merchant · Ekin Dogus Cubuk
Poster
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
Workshop
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
Poster
Tue 17:00 Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable
Baoluo Sun · Yifan Cui · Eric Tchetgen Tchetgen
Poster
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
Workshop
Machine Learning with Feature Differential Privacy
Saeed Mahloujifar · Chuan Guo · G. Edward Suh · Kamalika Chaudhuri
Poster
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
Poster
Wed 17:00 Forget Unlearning: Towards True Data-Deletion in Machine Learning
Rishav Chourasia · Neil Shah
Workshop
Investigating minimizing the training set fill distance in machine learning regression
Paolo Climaco · Jochen Garcke
Workshop
Towards Modular Machine Learning Pipelines
Aditya Modi · JIVAT NEET KAUR · Maggie Makar · Pavan Mallapragada · Amit Sharma · Emre Kiciman · Adith Swaminathan
Poster
Tue 14:00 Inflow, Outflow, and Reciprocity in Machine Learning
Mukund Sundararajan · Walid Krichene
Oral
Wed 19:48 Inflow, Outflow, and Reciprocity in Machine Learning
Mukund Sundararajan · Walid Krichene