Interpretable Neural Predictions with Differentiable Binary Variables

20 May 2019

Papers citing "Interpretable Neural Predictions with Differentiable Binary Variables"

50 / 149 papers shown

Title
Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets Wei Liu Zhongyu Niu Lang Gao Zhiying Deng Jun Wang Haozhao Wang Ruixuan Li 137 1 0 04 May 2025
Les Dissonances: Cross-Tool Harvesting and Polluting in Multi-Tool Empowered LLM Agents Zichuan Li Jian Cui Xiaojing Liao Luyi Xing LLMAG 40 0 0 04 Apr 2025
Noiser: Bounded Input Perturbations for Attributing Large Language Models Mohammad Reza Ghasemi Madani Aryo Pradipta Gema Gabriele Sarti Yu Zhao Pasquale Minervini Andrea Passerini AAML 32 0 0 03 Apr 2025
TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding Yuyang Liang Yankai Chen Yixiang Fang Laks V. S. Lakshmanan Chenhao Ma 52 0 0 29 Mar 2025
Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization Wei Liu Zhiying Deng Zhongyu Niu Jun Wang Yining Qi Zhigang Zeng Ruixuan Li 47 2 0 08 Mar 2025
Learning to Discover Regulatory Elements for Gene Expression Prediction Xingyu Su Haiyang Yu D. Zhi Shuiwang Ji 31 0 0 19 Feb 2025
Boosting Explainability through Selective Rationalization in Pre-trained Language Models Libing Yuan Shuaibo Hu Kui Yu Le Wu LRM 31 0 0 03 Jan 2025
Improving Decision Sparsity Yiyang Sun Tong Wang Cynthia Rudin 136 1 0 27 Oct 2024
MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction Han Jiang Junwen Duan Zhe Qu Jianxin Wang 29 1 0 04 Oct 2024
The Quest for the Right Mediator: A History, Survey, and Theoretical Grounding of Causal Interpretability Aaron Mueller Jannik Brinkmann Millicent Li Samuel Marks Koyena Pal ... Arnab Sen Sharma Jiuding Sun Eric Todd David Bau Yonatan Belinkov CML 49 18 0 02 Aug 2024
On the Evaluation Consistency of Attribution-based Explanations Jiarui Duan Haoling Li Haofei Zhang Hao Jiang Mengqi Xue Li Sun Mingli Song Jie Song XAI 46 0 0 28 Jul 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs Nitay Calderon Roi Reichart 40 10 0 27 Jul 2024
Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions Harrie Oosterhuis Lijun Lyu Avishek Anand FAtt 35 1 0 16 Jul 2024
Automated Trustworthiness Testing for Machine Learning Classifiers Steven Cho Seaton Cousins-Baxter Stefano Ruberto Valerio Terragni 33 0 0 07 Jun 2024
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function Keyon Vafa Ashesh Rambachan S. Mullainathan ELM ALM 24 12 0 03 Jun 2024
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales Lucas Resck Marcos M. Raimundo Jorge Poco 47 1 0 03 Apr 2024
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery Linan Yue Qi Liu Yichao Du Li Wang Weibo Gao Yanqing An 34 5 0 12 Mar 2024
Sparse and Structured Hopfield Networks Saul Santos Vlad Niculae Daniel McNamee Andre F. T. Martins 28 4 0 21 Feb 2024
Sparse and Faithful Explanations Without Sparse Models Yiyang Sun Zhi Chen Vittorio Orlandi Tong Wang Cynthia Rudin 38 2 0 15 Feb 2024
Less is KEN: a Universal and Simple Non-Parametric Pruning Algorithm for Large Language Models Michele Mastromattei Fabio Massimo Zanzotto VLM 34 1 0 05 Feb 2024
ReAGent: A Model-agnostic Feature Attribution Method for Generative Language Models Zhixue Zhao Boxuan Shan 26 5 0 01 Feb 2024
Enhancing the Rationale-Input Alignment for Self-explaining Rationalization Wei Liu Yining Qi Jun Wang Zhiying Deng Yuankai Zhang Chengwei Wang Ruixuan Li 35 9 0 07 Dec 2023
You Only Forward Once: Prediction and Rationalization in A Single Forward Pass Han Jiang Junwen Duan Zhe Qu Jianxin Wang 19 2 0 04 Nov 2023
Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck Josh Magnus Ludan Qing Lyu Yue Yang Liam Dugan Mark Yatskar Chris Callison-Burch 35 4 0 30 Oct 2023
This Reads Like That: Deep Learning for Interpretable Natural Language Processing Claudio Fanconi Moritz Vandenhirtz Severin Husmann Julia E. Vogt FAtt 14 2 0 25 Oct 2023
Cross-Modal Conceptualization in Bottleneck Models Danis Alukaev S. Kiselev Ilya S. Pershin Bulat Ibragimov Vladimir Ivanov Alexey Kornaev Ivan Titov 35 7 0 23 Oct 2023
Identifying and Adapting Transformer-Components Responsible for Gender Bias in an English Language Model Abhijith Chintam Rahel Beloch Willem H. Zuidema Michael Hanna Oskar van der Wal 28 16 0 19 Oct 2023
Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models Antoine Louis Gijs van Dijck Gerasimos Spanakis ELM AILaw 30 35 0 29 Sep 2023
Learning by Self-Explaining Wolfgang Stammer Felix Friedrich David Steinmann Manuel Brack Hikaru Shindo Kristian Kersting 24 7 0 15 Sep 2023
Interpreting Sentiment Composition with Latent Semantic Tree Zhongtao Jiang Yuanzhe Zhang Cao Liu Jiansong Chen Jun Zhao Kang Liu CoGe 29 0 0 31 Aug 2023
Unsupervised Text Style Transfer with Deep Generative Models Zhongtao Jiang Yuanzhe Zhang Yiming Ju Kang-Jun Liu 27 0 0 31 Aug 2023
SynJax: Structured Probability Distributions for JAX Miloš Stanojević Laurent Sartran SyDa 13 4 0 07 Aug 2023
Towards Trustworthy Explanation: On Causal Rationalization Wenbo Zhang Tong Wu Yunlong Wang Yong Cai Hengrui Cai CML 21 18 0 25 Jun 2023
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency Owen Queen Thomas Hartvigsen Teddy Koker Huan He Theodoros Tsiligkaridis Marinka Zitnik AI4TS 37 17 0 03 Jun 2023
Unsupervised Selective Rationalization with Noise Injection Adam Storek Melanie Subbiah Kathleen McKeown 13 2 0 27 May 2023
CREST: A Joint Framework for Rationalization and Counterfactual Text Generation Marcos Vinícius Treviso Alexis Ross Nuno M. Guerreiro André F.T. Martins 29 16 0 26 May 2023
Give Me More Details: Improving Fact-Checking with Latent Retrieval Xuming Hu Guan-Huei Wu Zhijiang Guo Philip S. Yu HILM 37 4 0 25 May 2023
HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale Supervision Wenting Zhao Justin T. Chiu Claire Cardie Alexander M. Rush LRM 19 4 0 23 May 2023
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint Wei Liu Jun Wang Yining Qi Rui Li Yang Qiu Yuankai Zhang Jie Han Yixiong Zou 44 12 0 23 May 2023
Distilling ChatGPT for Explainable Automated Student Answer Assessment Jiazheng Li Lin Gui Yuxiang Zhou David West Cesare Aloisi Yulan He 14 27 0 22 May 2023
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks Fanny Jourdan Agustin Picard Thomas Fel Laurent Risser Jean-Michel Loubes Nicholas M. Asher 15 6 0 11 May 2023
MGR: Multi-generator Based Rationalization Wei Liu Yining Qi Jun Wang Rui Li Xinyang Li Yuankai Zhang Yang Qiu 23 7 0 08 May 2023
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction Xuming Hu Zhaochen Hong Chenwei Zhang Irwin King Philip S. Yu 33 9 0 02 May 2023
VISION DIFFMASK: Faithful Interpretation of Vision Transformers with Differentiable Patch Masking A. Nalmpantis Apostolos Panagiotopoulos John Gkountouras Konstantinos Papakostas Wilker Aziz 15 4 0 13 Apr 2023
SLM: End-to-end Feature Selection via Sparse Learnable Masks Yihe Dong Sercan Ö. Arik 27 3 0 06 Apr 2023
ExClaim: Explainable Neural Claim Verification Using Rationalization Sai Gurrapu Lifu Huang Feras A. Batarseh AAML 26 8 0 21 Jan 2023
Rationalization for Explainable NLP: A Survey Sai Gurrapu Ajay Kulkarni Lifu Huang Ismini Lourentzou Laura J. Freeman Feras A. Batarseh 36 31 0 21 Jan 2023
Rationalizing Predictions by Adversarial Information Calibration Lei Sha Oana-Maria Camburu Thomas Lukasiewicz 11 4 0 15 Jan 2023
Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency Methods Josip Jukić Martin Tutek Jan Snajder FAtt 18 0 0 15 Nov 2022
A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture Jiayun Luo Boyang Albert Li Cyril Leung 53 11 0 20 Oct 2022