Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions

14 May 2020

Papers citing "Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions"

32 / 32 papers shown

Title
Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning Lefei Zhang Lijie Hu Di Wang LRM 150 4 0 17 Feb 2025
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language Models Sepehr Kamahi Yadollah Yaghoobzadeh 81 0 0 21 Aug 2024
Learning to Faithfully Rationalize by Construction Sarthak Jain Sarah Wiegreffe Yuval Pinter Byron C. Wallace 75 163 0 30 Apr 2020
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness? Alon Jacovi Yoav Goldberg XAI 100 597 0 07 Apr 2020
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models Eric Wallace Jens Tuyls Junlin Wang Sanjay Subramanian Matt Gardner Sameer Singh MILM 63 138 0 19 Sep 2019
Designing and Interpreting Probes with Control Tasks John Hewitt Percy Liang 58 536 0 08 Sep 2019
Topics to Avoid: Demoting Latent Confounds in Text Classification Sachin Kumar S. Wintner Noah A. Smith Yulia Tsvetkov BDL OOD 42 31 0 01 Sep 2019
Attention is not not Explanation Sarah Wiegreffe Yuval Pinter XAI AAML FAtt 116 909 0 13 Aug 2019
Explain Yourself! Leveraging Language Models for Commonsense Reasoning Nazneen Rajani Bryan McCann Caiming Xiong R. Socher ReLM LRM 74 565 0 06 Jun 2019
Linguistic Knowledge and Transferability of Contextual Representations Nelson F. Liu Matt Gardner Yonatan Belinkov Matthew E. Peters Noah A. Smith 113 730 0 21 Mar 2019
Attention is not Explanation Sarthak Jain Byron C. Wallace FAtt 126 1,323 0 26 Feb 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference R. Thomas McCoy Ellie Pavlick Tal Linzen 129 1,237 0 04 Feb 2019
Analysis Methods in Neural Language Processing: A Survey Yonatan Belinkov James R. Glass 75 555 0 21 Dec 2018
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 406 637 0 04 Dec 2018
Deep Weighted Averaging Classifiers Dallas Card Michael J.Q. Zhang Hao Tang 42 41 0 06 Nov 2018
Towards Explainable NLP: A Generative Explanation Framework for Text Classification Hui Liu Qingyu Yin William Yang Wang 76 148 0 01 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.7K 94,729 0 11 Oct 2018
Pathologies of Neural Models Make Interpretations Difficult Shi Feng Eric Wallace Alvin Grissom II Mohit Iyyer Pedro Rodriguez Jordan L. Boyd-Graber AAML FAtt 74 321 0 20 Apr 2018
Annotation Artifacts in Natural Language Inference Data Suchin Gururangan Swabha Swayamdipta Omer Levy Roy Schwartz Samuel R. Bowman Noah A. Smith 136 1,177 0 06 Mar 2018
SmoothGrad: removing noise by adding noise D. Smilkov Nikhil Thorat Been Kim F. Viégas Martin Wattenberg FAtt ODL 199 2,221 0 12 Jun 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 515 4,476 0 18 Apr 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 192 3,869 0 10 Apr 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 169 2,882 0 14 Mar 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 175 5,986 0 04 Mar 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 382 3,785 0 28 Feb 2017
Understanding Neural Networks through Representation Erasure Jiwei Li Will Monroe Dan Jurafsky AAML MILM 86 564 0 24 Dec 2016
Rationalizing Neural Predictions Tao Lei Regina Barzilay Tommi Jaakkola 108 812 0 13 Jun 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 176 3,690 0 10 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,954 0 16 Feb 2016
Visualizing and Understanding Neural Models in NLP Jiwei Li Xinlei Chen Eduard H. Hovy Dan Jurafsky MILM FAtt 75 706 0 02 Jun 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Ke Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov R. Zemel Yoshua Bengio DiffM 332 10,067 0 10 Feb 2015
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 305 7,289 0 20 Dec 2013