Efficiently Training Low-Curvature Neural Networks

Efficiently Training Low-Curvature Neural Networks

14 June 2022

Himabindu Lakkaraju

Papers citing "Efficiently Training Low-Curvature Neural Networks"

16 / 16 papers shown

Title
Characterizing Model Robustness via Natural Input Gradients Adrian Rodriguez-Munoz Tongzhou Wang Antonio Torralba AAML 19 1 0 30 Sep 2024
SparseCraft: Few-Shot Neural Reconstruction through Stereopsis Guided Geometric Linearization Mae Younes Amine Ouasfi A. Boukhayma 3DV 28 9 0 19 Jul 2024
Compositional Curvature Bounds for Deep Neural Networks Taha Entesari Sina Sharifi Mahyar Fazlyab AAML 23 0 0 07 Jun 2024
Gradient-Regularized Out-of-Distribution Detection Sina Sharifi Taha Entesari Bardia Safaei Vishal M. Patel Mahyar Fazlyab OODD 21 4 0 18 Apr 2024
Deep Submodular Peripteral Networks Gantavya Bhatt Arnav M. Das Jeff Bilmes 36 1 0 13 Mar 2024
Verified Training for Counterfactual Explanation Robustness under Data Shift Anna P. Meyer Yuhao Zhang Aws Albarghouthi Loris Dántoni AAML OOD 43 2 0 06 Mar 2024
Efficient local linearity regularization to overcome catastrophic overfitting Elias Abad Rocamora Fanghui Liu Grigorios G. Chrysos Pablo Martínez Olmos V. Cevher AAML 16 6 0 21 Jan 2024
Characterizing Data Point Vulnerability via Average-Case Robustness Tessa Han Suraj Srinivas Himabindu Lakkaraju AAML OOD 21 0 0 26 Jul 2023
On Minimizing the Impact of Dataset Shifts on Actionable Explanations Anna P. Meyer Dan Ley Suraj Srinivas Himabindu Lakkaraju FAtt 29 6 0 11 Jun 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 6 11 0 02 Jun 2023
Protein Design with Guided Discrete Diffusion Nate Gruver Samuel Stanton Nathan C. Frey Tim G. J. Rudner I. Hotzel J. Lafrance-Vanasse A. Rajpal Kyunghyun Cho A. Wilson DiffM 24 100 0 31 May 2023
Revisiting DeepFool: generalization and improvement Alireza Abdollahpourrostam Mahed Abroshan Seyed-Mohsen Moosavi-Dezfooli AAML 13 2 0 22 Mar 2023
Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics Hanlin Yu M. Hartmann Bernardo Williams Arto Klami BDL 12 4 0 09 Mar 2023
Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten Satyapriya Krishna Jiaqi Ma Himabindu Lakkaraju 13 13 0 08 Feb 2023
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 217 674 0 19 Oct 2020
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 222 1,832 0 03 Feb 2017