Positive-Congruent Training: Towards Regression-Free Model Updates

Positive-Congruent Training: Towards Regression-Free Model Updates

18 November 2020

Papers citing "Positive-Congruent Training: Towards Regression-Free Model Updates"

11 / 11 papers shown

Title
An Experience Report on Regression-Free Repair of Deep Neural Network Model Takao Nakagawa Susumu Tokumoto Shogo Tokui Fuyuki Ishikawa 53 1 0 10 Mar 2025
Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples M. Kozák Luca Demetrio Dmitrijs Trizna Fabio Roli AAML 29 0 0 04 May 2024
Predictive Churn with the Set of Good Models J. Watson-Daniels Flavio du Pin Calmon Alexander DÁmour Carol Xuan Long David C. Parkes Berk Ustun 83 7 0 12 Feb 2024
AI Model Disgorgement: Methods and Choices Alessandro Achille Michael Kearns Carson Klingenberg Stefano Soatto MU 23 11 0 07 Apr 2023
Towards Regression-Free Neural Networks for Diverse Compute Platforms Rahul Duggal Hao Zhou Shuo Yang Jun Fang Yuanjun Xiong Wei Xia UQCV 31 1 0 27 Sep 2022
Switchable Representation Learning Framework with Self-compatibility Shengsen Wu Yan Bai Yihang Lou Xiongkun Linghu Jianzhong He Ling-yu Duan 22 1 0 16 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A Review Swapnil Sayan Saha S. Sandha Mani B. Srivastava 19 117 0 29 May 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning Bat-Sheva Einbinder Yaniv Romano Matteo Sesia Yanfei Zhou UQCV 23 47 0 12 May 2022
Hot-Refresh Model Upgrades with Regression-Alleviating Compatible Training in Image Retrieval Binjie Zhang Yixiao Ge Yantao Shen Yu Li Chun Yuan Xuyuan Xu Yexin Wang Ying Shan VLM 25 7 0 24 Jan 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 179 1,185 0 30 Nov 2014