Gradient Regularization Improves Accuracy of Discriminative Models

28 December 2017

Papers citing "Gradient Regularization Improves Accuracy of Discriminative Models"

10 / 10 papers shown

Title
New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization Soroosh Shafieezadeh-Abadeh Liviu Aolaritei Florian Dorfler Daniel Kuhn 36 20 0 31 Dec 2024
MIRACLE3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model Construction Hossein Resani B. Nasihatkon 3DV 74 0 0 08 Oct 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization Yao Ni Shan Zhang Piotr Koniusz 93 2 0 25 Sep 2024
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models Josip Jukić Jan Snajder 21 0 0 31 Mar 2024
Why Does Little Robustness Help? Understanding and Improving Adversarial Transferability from Surrogate Training Yechao Zhang Shengshan Hu Leo Yu Zhang Junyu Shi Minghui Li Xiaogeng Liu Wei Wan Hai Jin AAML 22 20 0 15 Jul 2023
Machines of finite depth: towards a formalization of neural networks Pietro Vertechi M. Bergomi PINN 16 2 0 27 Apr 2022
Training-Free Robust Multimodal Learning via Sample-Wise Jacobian Regularization Zhengqi Gao Sucheng Ren Zihui Xue Siting Li Hang Zhao 19 3 0 05 Apr 2022
Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference Yang Zheng Xiaoyi Feng Zhaoqiang Xia Xiaoyue Jiang Ambra Demontis Maura Pintor Battista Biggio Fabio Roli AAML 19 21 0 26 Aug 2021
Minimal Achievable Sufficient Statistic Learning Milan Cvitkovic Günther Koliander 15 12 0 19 May 2019
Nonparametric sparsity and regularization Lorenzo Rosasco S. Villa S. Mosci M. Santoro A. Verri 80 102 0 13 Aug 2012