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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
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
Tue 14:00 Inflow, Outflow, and Reciprocity in Machine Learning
Mukund Sundararajan · Walid Krichene
Poster
Thu 16:30 Algorithmic Collective Action in Machine Learning
Moritz Hardt · Eric Mazumdar · Celestine Mendler-Dünner · Tijana Zrnic
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
Workshop
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
Poster
Wed 17:00 Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions
Alicia Curth · Alihan Hüyük · Mihaela van der Schaar
Oral
Wed 19:48 Inflow, Outflow, and Reciprocity in Machine Learning
Mukund Sundararajan · Walid Krichene
Poster
Tue 17:00 Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems
Chawin Sitawarin · Florian Tramer · Nicholas Carlini
Oral
Wed 20:12 Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
Christopher Choquette-Choo · Hugh B McMahan · J K Rush · Abhradeep Guha Thakurta
Poster
Wed 17:00 Forget Unlearning: Towards True Data-Deletion in Machine Learning
Rishav Chourasia · Neil Shah
Affinity Workshop
Mon 19:15 Convolutional neural network regression to estimate the mass parameter of astrophysical binary black hole systems
Andres Antelis · Claudia Moreno