Editing a classifier by rewriting its prediction rules

Editing a classifier by rewriting its prediction rules

2 December 2021

Shibani Santurkar

Dimitris Tsipras

Mahalaxmi Elango

Antonio Torralba

Papers citing "Editing a classifier by rewriting its prediction rules"

9 / 59 papers shown

Title
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks Tilman Raukur A. Ho Stephen Casper Dylan Hadfield-Menell AAML AI4CE 23 124 0 27 Jul 2022
Repairing Neural Networks by Leaving the Right Past Behind Ryutaro Tanno Melanie F. Pradier A. Nori Yingzhen Li KELM 30 31 0 11 Jul 2022
Auditing Visualizations: Transparency Methods Struggle to Detect Anomalous Behavior Jean-Stanislas Denain Jacob Steinhardt AAML 42 7 0 27 Jun 2022
Post-hoc Concept Bottleneck Models Mert Yuksekgonul Maggie Wang James Zou 145 185 0 31 May 2022
Language Anisotropic Cross-Lingual Model Editing Yang Xu Yutai Hou Wanxiang Che Min Zhang KELM 94 24 0 25 May 2022
Perspectives on Incorporating Expert Feedback into Model Updates Valerie Chen Umang Bhatt Hoda Heidari Adrian Weller Ameet Talwalkar 30 11 0 13 May 2022
Fast Model Editing at Scale E. Mitchell Charles Lin Antoine Bosselut Chelsea Finn Christopher D. Manning KELM 230 343 0 21 Oct 2021
Improving Certified Robustness via Statistical Learning with Logical Reasoning Zhuolin Yang Zhikuan Zhao Wei Ping Jiawei Zhang Linyi Li ... Bojan Karlas Ji Liu Heng Guo Ce Zhang Bo-wen Li AAML 18 13 0 28 Feb 2020
A Testbed for Cross-Dataset Analysis Tatiana Tommasi Tinne Tuytelaars Barbara Caputo 171 96 0 24 Feb 2014