( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5?

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , и . CoRR, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Ben Elsner

Ben Schöttker

Ben Novak

Ben Schacher

Ben Schmehe

 

Другие публикации лиц с тем же именем

Investigating Under and Overfitting in Wasserstein Generative Adversarial Networks., , и . CoRR, (2019)Underspecification Presents Challenges for Credibility in Modern Machine Learning., , , , , , , , , и 30 other автор(ы). CoRR, (2020)A Random Matrix Perspective on Mixtures of Nonlinearities in High Dimensions., , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 3434-3457. PMLR, (2022)Kernel Regression with Infinite-Width Neural Networks on Millions of Examples., , , , и . CoRR, (2023)Exploring the Uncertainty Properties of Neural Networks' Implicit Priors in the Infinite-Width Limit., , , , и . CoRR, (2020)Understanding the bias-variance tradeoff of Bregman divergences., , , и . CoRR, (2022)The Time Scale of Evolutionary Innovation., , , и . PLoS Comput. Biol., (2014)Exploring the Uncertainty Properties of Neural Networks' Implicit Priors in the Infinite-Width Limit., , , , и . ICLR, OpenReview.net, (2021)The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization., и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 74-84. PMLR, (2020)Underspecification Presents Challenges for Credibility in Modern Machine Learning., , , , , , , , , и 30 other автор(ы). J. Mach. Learn. Res., (2022)