Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning

7 December 2022

Papers citing "Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning"

8 / 8 papers shown

Title
Large Language Models as Attribution Regularizers for Efficient Model Training Davor Vukadin Marin Šilić Goran Delač 36 0 0 27 Feb 2025
Interpreting Object-level Foundation Models via Visual Precision Search Ruoyu Chen Siyuan Liang Jingzhi Li Shiming Liu Maosen Li Zheng Huang Hua Zhang Xiaochun Cao FAtt 82 3 0 25 Nov 2024
Saliency Guided Experience Packing for Replay in Continual Learning Gobinda Saha Kaushik Roy VLM KELM CLL 86 21 0 10 Sep 2021
Measuring Association Between Labels and Free-Text Rationales Sarah Wiegreffe Ana Marasović Noah A. Smith 274 170 0 24 Oct 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 252 618 0 04 Dec 2018
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 228 2,231 0 24 Jun 2017
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 157 1,748 0 02 Mar 2017