Showing 1–16 of 16 results
/ Date/ Name
Jun 9, 2020Low Distortion Block-Resampling with Spatially Stochastic NetworksMar 3, 2021Out of Distribution Generalization in Machine LearningDec 21, 2017Geometrical Insights for Implicit Generative ModelingNov 20, 2015Unitary Evolution Recurrent Neural NetworksJan 26, 2017Wasserstein GANMay 30, 2015Saddle-free Hessian-free OptimizationJun 2, 2016Adversarially Learned InferenceFeb 22, 2021Linear unit-tests for invariance discoveryMar 31, 2017Improved Training of Wasserstein GANsJan 17, 2017Towards Principled Methods for Training Generative Adversarial NetworksJul 5, 2019Invariant Risk MinimizationSep 17, 2025Discovery of Unstable SingularitiesMay 23, 2022Why does Throwing Away Data Improve Worst-Group Error?Feb 14, 2020Never Give Up: Learning Directed Exploration StrategiesSep 29, 2019Symplectic Recurrent Neural NetworksOct 27, 2021Simple data balancing achieves competitive worst-group-accuracy