Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures

26 May 2022

Papers citing "Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures"

5 / 5 papers shown

Title
Generalization on the Unseen, Logic Reasoning and Degree Curriculum Emmanuel Abbe Samy Bengio Aryo Lotfi Kevin Rizk LRM 39 48 0 30 Jan 2023
A Fine-Grained Analysis on Distribution Shift Olivia Wiles Sven Gowal Florian Stimberg Sylvestre-Alvise Rebuffi Ira Ktena Krishnamurthy Dvijotham A. Cemgil OOD 225 201 0 21 Oct 2021
On Margin Maximization in Linear and ReLU Networks Gal Vardi Ohad Shamir Nathan Srebro 50 28 0 06 Oct 2021
On the Power of Differentiable Learning versus PAC and SQ Learning Emmanuel Abbe Pritish Kamath Eran Malach Colin Sandon Nathan Srebro MLT 77 23 0 09 Aug 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 271 2,603 0 04 May 2021