no code implementations • NeurIPS 2023 • Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David Blei
The reliance of text classifiers on spurious correlations can lead to poor generalization at deployment, raising concerns about their use in safety-critical domains such as healthcare.
no code implementations • 24 Aug 2023 • Aahlad Puli, Lily Zhang, Yoav Wald, Rajesh Ranganath
However, even when the stable feature determines the label in the training distribution and the shortcut does not provide any additional information, like in perception tasks, default-ERM still exhibits shortcut learning.
no code implementations • 28 Nov 2022 • Yoav Wald, Gal Yona, Uri Shalit, Yair Carmon
This suggests that the phenomenon of ``benign overfitting," in which models generalize well despite interpolating, might not favorably extend to settings in which robustness or fairness are desirable.
no code implementations • 1 Jun 2022 • Amir Feder, Guy Horowitz, Yoav Wald, Roi Reichart, Nir Rosenfeld
Accurately predicting the relevance of items to users is crucial to the success of many social platforms.
2 code implementations • ICCV 2021 • Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri
A natural source for such attributes is the StyleSpace of StyleGAN, which is known to generate semantically meaningful dimensions in the image.
no code implementations • NeurIPS 2021 • Yoav Wald, Amir Feder, Daniel Greenfeld, Uri Shalit
In this work, we draw a link between OOD performance and model calibration, arguing that calibration across multiple domains can be viewed as a special case of an invariant representation leading to better OOD generalization.
1 code implementation • NeurIPS 2019 • Yoav Wald, Nofar Noy, Gal Elidan, Ami Wiesel
The core of the difficulty is the non-convexity of the objective function, implying that standard optimization algorithms may converge to sub-optimal critical points.
no code implementations • NeurIPS 2017 • Yoav Wald, Amir Globerson
Conditional probabilities are a core concept in machine learning.