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17 Results
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Workshop
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Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Systems Parikshit Bansal · Yashoteja Prabhu · Emre Kiciman · Amit Sharma |
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Workshop
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Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Systems Parikshit Bansal · Yashoteja Prabhu · Emre Kiciman · Amit Sharma |
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Workshop
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Addressing out-of-distribution data for flow-based gravitational wave inference Maximilian Dax · Stephen Green · Jonas Wildberger · Jonathan Gair · Michael Puerrer · Jakob Macke · Alessandra Buonanno · Bernhard Schölkopf |
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Poster
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Wed 9:00 |
Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game Zhiyuan Yao · Zihan Ding |
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Poster
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Wed 9:00 |
AdaFocal: Calibration-aware Adaptive Focal Loss Arindam Ghosh · Thomas Schaaf · Matthew Gormley |
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Poster
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Wed 14:00 |
Probable Domain Generalization via Quantile Risk Minimization Cian Eastwood · Alexander Robey · Shashank Singh · Julius von Kügelgen · Hamed Hassani · George J. Pappas · Bernhard Schölkopf |
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Poster
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Thu 9:00 |
Assaying Out-Of-Distribution Generalization in Transfer Learning Florian Wenzel · Andrea Dittadi · Peter Gehler · Carl-Johann Simon-Gabriel · Max Horn · Dominik Zietlow · David Kernert · Chris Russell · Thomas Brox · Bernt Schiele · Bernhard Schölkopf · Francesco Locatello |
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Poster
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Tue 9:00 |
Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems Shicheng Liu · Minghui Zhu |
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Workshop
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Sat 10:30 |
Federated Learning for Appearance-based Gaze Estimation in the Wild Mayar Elfares · Zhiming Hu · Pascal Reisert · Andreas Bulling · Ralf Küsters |
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Workshop
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Flow Annealed Importance Sampling Bootstrap Laurence Midgley · Vincent Stimper · Gregor Simm · Bernhard Schölkopf · José Miguel Hernández-Lobato |
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Workshop
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DRL-EPANET: Deep reinforcement learning for optimal control at scale in Water Distribution Systems Anas Belfadil · David Modesto · Jose Martin H. |
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Poster
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Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning Tomoya Murata · Taiji Suzuki |