Learning to Explain: An Information-Theoretic Perspective on Model Interpretation

21 February 2018

Papers citing "Learning to Explain: An Information-Theoretic Perspective on Model Interpretation"

50 / 302 papers shown

Title
The Blame Problem in Evaluating Local Explanations, and How to Tackle it Amir Hossein Akhavan Rahnama ELM FAtt 32 4 0 05 Oct 2023
Learning to Simplify Spatial-Temporal Graphs in Gait Analysis Adrian Cosma I. Radoi 29 1 0 05 Oct 2023
Multiple Different Black Box Explanations for Image Classifiers Hana Chockler D. A. Kelly Daniel Kroening FAtt 24 0 0 25 Sep 2023
Circuit Breaking: Removing Model Behaviors with Targeted Ablation Maximilian Li Xander Davies Max Nadeau KELM MU 29 27 0 12 Sep 2023
i-Align: an interpretable knowledge graph alignment model Bayu Distiawan Trisedya Flora D. Salim Jeffrey Chan Damiano Spina Falk Scholer Mark Sanderson 18 7 0 26 Aug 2023
A distributed neural network architecture for dynamic sensor selection with application to bandwidth-constrained body-sensor networks Thomas Strypsteen Alexander Bertrand 11 0 0 16 Aug 2023
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods Robin Hesse Simone Schaub-Meyer Stefan Roth AAML 37 33 0 11 Aug 2023
Copula for Instance-wise Feature Selection and Ranking Hanyu Peng Guanhua Fang P. Li 36 3 0 01 Aug 2023
Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability Usha Bhalla Suraj Srinivas Himabindu Lakkaraju FAtt CML 29 6 0 27 Jul 2023
Efficient Learning of Discrete-Continuous Computation Graphs David Friede Mathias Niepert 13 3 0 26 Jul 2023
Beyond Single-Feature Importance with ICECREAM M.-J. Oesterle Patrick Blobaum Atalanti A. Mastakouri Elke Kirschbaum CML 40 1 0 19 Jul 2023
Interpreting deep embeddings for disease progression clustering Anna Munoz-Farre Antonios Poulakakis-Daktylidis Dilini M. Kothalawala A. Rodriguez-Martinez 30 0 0 12 Jul 2023
Stability Guarantees for Feature Attributions with Multiplicative Smoothing Anton Xue Rajeev Alur Eric Wong 46 5 0 12 Jul 2023
Towards Trustworthy Explanation: On Causal Rationalization Wenbo Zhang Tong Wu Yunlong Wang Yong Cai Hengrui Cai CML 24 18 0 25 Jun 2023
ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data Xiangjian Jiang Andrei Margeloiu Nikola Simidjievski M. Jamnik OOD 47 10 0 21 Jun 2023
Selective Concept Models: Permitting Stakeholder Customisation at Test-Time Matthew Barker Katherine M. Collins Krishnamurthy Dvijotham Adrian Weller Umang Bhatt 32 2 0 14 Jun 2023
MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer Yazheng Yang Zhou Zhao Qi Liu 27 2 0 12 Jun 2023
Self-Interpretable Time Series Prediction with Counterfactual Explanations Jingquan Yan Hao Wang BDL AI4TS 29 13 0 09 Jun 2023
Efficient GNN Explanation via Learning Removal-based Attribution Yao Rong Guanchu Wang Qizhang Feng Ninghao Liu Zirui Liu Enkelejda Kasneci Xia Hu 28 9 0 09 Jun 2023
Explaining Predictive Uncertainty with Information Theoretic Shapley Values David S. Watson Joshua O'Hara Niek Tax Richard Mudd Ido Guy TDI FAtt 34 22 0 09 Jun 2023
Hardness of Deceptive Certificate Selection Stephan Wäldchen AAML 19 1 0 07 Jun 2023
Trompt: Towards a Better Deep Neural Network for Tabular Data Kuan-Yu Chen Ping-Han Chiang Hsin-Rung Chou Tingwei Chen Tien-Hao Chang VPVLM LMTD VLM 31 24 0 29 May 2023
Unsupervised Selective Rationalization with Noise Injection Adam Storek Melanie Subbiah Kathleen McKeown 18 2 0 27 May 2023
BELLA: Black box model Explanations by Local Linear Approximations N. Radulovic Albert Bifet Fabian M. Suchanek FAtt 39 1 0 18 May 2023
Explain like I am BM25: Interpreting a Dense Model's Ranked-List with a Sparse Approximation M. Llordes Debasis Ganguly S. Bhatia Chirag Agarwal FAtt 14 6 0 25 Apr 2023
Explanations of Black-Box Models based on Directional Feature Interactions A. Masoomi Davin Hill Zhonghui Xu C. Hersh E. Silverman P. Castaldi Stratis Ioannidis Jennifer Dy FAtt 37 18 0 16 Apr 2023
Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion Kamil Adamczewski Daniel Gehrig Vaishakh Patil Luc Van Gool 36 1 0 21 Mar 2023
CoRTX: Contrastive Framework for Real-time Explanation Yu-Neng Chuang Guanchu Wang Fan Yang Quan-Gen Zhou Pushkar Tripathi Xuanting Cai Xia Hu 46 20 0 05 Mar 2023
Semantic Strengthening of Neuro-Symbolic Learning Kareem Ahmed Kai-Wei Chang Mathias Niepert 11 12 0 28 Feb 2023
Don't be fooled: label leakage in explanation methods and the importance of their quantitative evaluation N. Jethani A. Saporta Rajesh Ranganath FAtt 29 11 0 24 Feb 2023
Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations Zhenxiao Cheng Jie Zhou Wen Wu Qin Chen Liang He 32 3 0 21 Feb 2023
TAX: Tendency-and-Assignment Explainer for Semantic Segmentation with Multi-Annotators Yuan Cheng Zu-Yun Shiau Fu-En Yang Yu-Chiang Frank Wang 39 2 0 19 Feb 2023
Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions Mahed Abroshan Saumitra Mishra Mohammad Mahdi Khalili 33 4 0 09 Feb 2023
Efficient XAI Techniques: A Taxonomic Survey Yu-Neng Chuang Guanchu Wang Fan Yang Zirui Liu Xuanting Cai Mengnan Du Xia Hu 24 32 0 07 Feb 2023
Personalized Interpretable Classification Zengyou He Yifan Tang Yifan Tang Lianyu Hu Yan Liu Yan Liu 25 0 0 06 Feb 2023
Improving Interpretability via Explicit Word Interaction Graph Layer Arshdeep Sekhon Hanjie Chen A. Shrivastava Zhe Wang Yangfeng Ji Yanjun Qi AI4CE MILM 25 6 0 03 Feb 2023
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research Fabian Eitel Marc-Andre Schulz Moritz Seiler Henrik Walter K. Ritter AI4CE 19 42 0 20 Jan 2023
Rationalizing Predictions by Adversarial Information Calibration Lei Sha Oana-Maria Camburu Thomas Lukasiewicz 27 4 0 15 Jan 2023
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching Fang Wu Siyuan Li Xurui Jin Yinghui Jiang Dragomir R. Radev Z. Niu Stan Z. Li 24 10 0 07 Jan 2023
Language as a Latent Sequence: deep latent variable models for semi-supervised paraphrase generation Jialin Yu Alexandra I. Cristea Anoushka Harit Zhongtian Sun O. Aduragba Lei Shi Noura Al Moubayed VLM BDL DRL 22 3 0 05 Jan 2023
Learning to Maximize Mutual Information for Dynamic Feature Selection Ian Covert Wei Qiu Mingyu Lu Nayoon Kim Nathan White Su-In Lee 26 29 0 02 Jan 2023
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations Angelos Chatzimparmpas R. Martins I. Jusufi K. Kucher Fabrice Rossi A. Kerren FAtt 26 160 0 22 Dec 2022
Explainability as statistical inference Hugo Senetaire Damien Garreau J. Frellsen Pierre-Alexandre Mattei FAtt 21 4 0 06 Dec 2022
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution Yushun Dong Song Wang Jing Ma Ninghao Liu Jundong Li 44 21 0 25 Nov 2022
Explaining YOLO: Leveraging Grad-CAM to Explain Object Detections Armin Kirchknopf D. Slijepcevic Ilka Wunderlich Michael Breiter Johannes Traxler Matthias Zeppelzauer FAtt ObjD 18 7 0 22 Nov 2022
Synthetic Data for Feature Selection Firuz Kamalov Hana Sulieman C. A. Kumar 4 3 0 06 Nov 2022
Interpretable Geometric Deep Learning via Learnable Randomness Injection Siqi Miao Yunan Luo Miaoyuan Liu Pan Li 26 25 0 30 Oct 2022
Greedy Modality Selection via Approximate Submodular Maximization Runxiang Cheng Gargi Balasubramaniam Yifei He Yao-Hung Hubert Tsai Han Zhao 24 1 0 22 Oct 2022
RbX: Region-based explanations of prediction models Ismael Lemhadri Harrison H. Li Trevor Hastie 12 2 0 17 Oct 2022
Decoupling Deep Learning for Interpretable Image Recognition Yitao Peng Yihang Liu Longzhen Yang Lianghua He 16 6 0 15 Oct 2022