On the Impact of Temporal Concept Drift on Model Explanations

17 October 2022

Papers citing "On the Impact of Temporal Concept Drift on Model Explanations"

38 / 38 papers shown

Title
Fine-Tuned LLMs are "Time Capsules" for Tracking Societal Bias Through Books Sangmitra Madhusudan Robert D Morabito Skye Reid Nikta Gohari Sadr Ali Emami 94 1 0 07 Feb 2025
Improved Multi-label Classification under Temporal Concept Drift: Rethinking Group-Robust Algorithms in a Label-Wise Setting Ilias Chalkidis Anders Søgaard OOD AI4TS 53 29 0 15 Mar 2022
An Empirical Study on Explanations in Out-of-Domain Settings G. Chrysostomou Nikolaos Aletras LRM 21 28 0 28 Feb 2022
TimeLMs: Diachronic Language Models from Twitter Daniel Loureiro Francesco Barbieri Leonardo Neves Luis Espinosa Anke Jose Camacho-Collados 66 253 0 08 Feb 2022
Temporal Attention for Language Models Guy D. Rosin Kira Radinsky VLM 58 33 0 04 Feb 2022
Temporal Effects on Pre-trained Models for Language Processing Tasks Oshin Agarwal A. Nenkova VLM 46 54 0 24 Nov 2021
SPECTRA: Sparse Structured Text Rationalization Nuno M. Guerreiro André F. T. Martins 29 27 0 09 Sep 2021
Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience G. Chrysostomou Nikolaos Aletras 42 18 0 31 Aug 2021
Time-Aware Language Models as Temporal Knowledge Bases Bhuwan Dhingra Jeremy R. Cole Julian Martin Eisenschlos D. Gillick Jacob Eisenstein William W. Cohen KELM 48 271 0 29 Jun 2021
X-FACT: A New Benchmark Dataset for Multilingual Fact Checking Ashim Gupta Vivek Srikumar HILM 50 99 0 17 Jun 2021
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification G. Chrysostomou Nikolaos Aletras 43 38 0 06 May 2021
Flexible Instance-Specific Rationalization of NLP Models G. Chrysostomou Nikolaos Aletras 52 14 0 16 Apr 2021
Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media Paul Röttger J. Pierrehumbert 46 64 0 16 Apr 2021
Mind the Gap: Assessing Temporal Generalization in Neural Language Models Angeliki Lazaridou A. Kuncoro E. Gribovskaya Devang Agrawal Adam Liska ... Sebastian Ruder Dani Yogatama Kris Cao Susannah Young Phil Blunsom VLM 74 210 0 03 Feb 2021
Evaluating and Characterizing Human Rationales Samuel Carton Anirudh Rathore Chenhao Tan 30 49 0 09 Oct 2020
A Diagnostic Study of Explainability Techniques for Text Classification Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein XAI FAtt 45 222 0 25 Sep 2020
We Need to Talk About Random Splits Anders Søgaard Sebastian Ebert Jasmijn Bastings Katja Filippova 51 98 0 01 May 2020
Learning to Faithfully Rationalize by Construction Sarthak Jain Sarah Wiegreffe Yuval Pinter Byron C. Wallace 57 162 0 30 Apr 2020
Analysing Lexical Semantic Change with Contextualised Word Representations Mario Giulianelli Marco Del Tredici Raquel Fernández 49 184 0 29 Apr 2020
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness? Alon Jacovi Yoav Goldberg XAI 68 584 0 07 Apr 2020
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 266 295 0 17 Mar 2020
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction Vlad Niculae André F. T. Martins TPM 36 19 0 13 Jan 2020
ERASER: A Benchmark to Evaluate Rationalized NLP Models Jay DeYoung Sarthak Jain Nazneen Rajani Eric P. Lehman Caiming Xiong R. Socher Byron C. Wallace 83 632 0 08 Nov 2019
Attention is not not Explanation Sarah Wiegreffe Yuval Pinter XAI AAML FAtt 43 901 0 13 Aug 2019
Is Attention Interpretable? Sofia Serrano Noah A. Smith 75 679 0 09 Jun 2019
Interpretable Neural Predictions with Differentiable Binary Variables Jasmijn Bastings Wilker Aziz Ivan Titov 59 213 0 20 May 2019
Evaluating Recurrent Neural Network Explanations L. Arras Ahmed Osman K. Müller Wojciech Samek XAI FAtt 52 88 0 26 Apr 2019
Attention is not Explanation Sarthak Jain Byron C. Wallace FAtt 87 1,307 0 26 Feb 2019
A Benchmark for Interpretability Methods in Deep Neural Networks Sara Hooker D. Erhan Pieter-Jan Kindermans Been Kim FAtt UQCV 72 673 0 28 Jun 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 81 3,922 0 06 Feb 2018
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 495 21,459 0 22 May 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 121 3,848 0 10 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 110 5,920 0 04 Mar 2017
Investigating the influence of noise and distractors on the interpretation of neural networks Pieter-Jan Kindermans Kristof T. Schütt K. Müller Sven Dähne FAtt 46 125 0 22 Nov 2016
Rationalizing Neural Predictions Tao Lei Regina Barzilay Tommi Jaakkola 81 807 0 13 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 551 16,765 0 16 Feb 2016
Character-level Convolutional Networks for Text Classification Xiang Zhang Jiaqi Zhao Yann LeCun 180 6,046 0 04 Sep 2015
Temporal Analysis of Language through Neural Language Models Yoon Kim Yi-I Chiu Kentaro Hanaki Darshan Hegde Slav Petrov MILM 56 343 0 14 May 2014