XAI for Transformers: Better Explanations through Conservative Propagation

15 February 2022

Papers citing "XAI for Transformers: Better Explanations through Conservative Propagation"

24 / 24 papers shown

Title
Minimizing False-Positive Attributions in Explanations of Non-Linear Models Anders Gjølbye Stefan Haufe Lars Kai Hansen 146 0 0 16 May 2025
A Unified Framework with Novel Metrics for Evaluating the Effectiveness of XAI Techniques in LLMs Melkamu Mersha Mesay Gemeda Yigezu Hassan Shakil Ali Al shami SangHyun Byun Jugal Kalita 155 1 0 06 Mar 2025
Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning Anh Tong Thanh Nguyen-Tang Dongeun Lee Duc Nguyen Toan M. Tran David Hall Cheongwoong Kang Jaesik Choi 98 1 0 03 Mar 2025
Evaluating the Effectiveness of XAI Techniques for Encoder-Based Language Models Melkamu Mersha Mesay Gemeda Yigezu Jugal Kalita ELM 170 4 0 26 Jan 2025
Accurate Explanation Model for Image Classifiers using Class Association Embedding Ruitao Xie Jingbang Chen Limai Jiang Rui Xiao Yi-Lun Pan Yunpeng Cai 164 4 0 31 Dec 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 203 31 0 30 Aug 2024
MambaLRP: Explaining Selective State Space Sequence Models F. Jafari G. Montavon Klaus-Robert Müller Oliver Eberle Mamba 175 10 0 11 Jun 2024
Exploring Self-Attention for Crop-type Classification Explainability Ivica Obadic R. Roscher Dario Augusto Borges Oliveira Xiao Xiang Zhu 71 7 0 24 Oct 2022
Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM Deepak Narayanan Mohammad Shoeybi Jared Casper P. LeGresley M. Patwary ... Prethvi Kashinkunti J. Bernauer Bryan Catanzaro Amar Phanishayee Matei A. Zaharia MoE 74 667 0 09 Apr 2021
On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification Zhengxuan Wu Desmond C. Ong 44 21 0 01 Jan 2021
Beyond Accuracy: Behavioral Testing of NLP models with CheckList Marco Tulio Ribeiro Tongshuang Wu Carlos Guestrin Sameer Singh ELM 151 1,089 0 08 May 2020
Quantifying Attention Flow in Transformers Samira Abnar Willem H. Zuidema 117 789 0 02 May 2020
Molecule Attention Transformer Lukasz Maziarka Tomasz Danel Slawomir Mucha Krzysztof Rataj Jacek Tabor Stanislaw Jastrzebski 53 168 0 19 Feb 2020
Graph Transformer Networks Seongjun Yun Minbyul Jeong Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 125 958 0 06 Nov 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf 162 7,437 0 02 Oct 2019
Explaining and Interpreting LSTMs L. Arras Jose A. Arjona-Medina Michael Widrich G. Montavon Michael Gillhofer K. Müller Sepp Hochreiter Wojciech Samek FAtt AI4TS 40 79 0 25 Sep 2019
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models Eric Wallace Jens Tuyls Junlin Wang Sanjay Subramanian Matt Gardner Sameer Singh MILM 57 137 0 19 Sep 2019
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned Elena Voita David Talbot F. Moiseev Rico Sennrich Ivan Titov 83 1,120 0 23 May 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 123 1,300 0 10 Mar 2019
Attention is not Explanation Sarthak Jain Byron C. Wallace FAtt 98 1,307 0 26 Feb 2019
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 101 3,922 0 06 Feb 2018
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 144 3,848 0 10 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 149 5,920 0 04 Mar 2017
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 418 27,205 0 01 Sep 2014