2.3k citations · 4.9k across the 24 of their papers we have counts for
3 papers · 1 filter
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Shiori Sagawa, Pang Wei Koh, Tatsunori B. Hashimoto +1
Overparameterized neural networks can be highly accurate on average on an i.i.d. test set yet consistently fail on atypical groups of the data (e.g., by learning spurious correlati…
Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations
Sawyer Birnbaum, Volodymyr Kuleshov, Zayd Enam +2
Learning representations that accurately capture long-range dependencies in sequential inputs -- including text, audio, and genomic data -- is a key problem in deep learning. Feed-…
On the Accuracy of Influence Functions for Measuring Group Effects
Pang Wei Koh, Kai-Siang Ang, Hubert H. K. Teo +1
Influence functions estimate the effect of removing a training point on a model without the need to retrain. They are based on a first-order Taylor approximation that is guaranteed…