A Unified Approach to Interpreting Model Predictions

22 May 2017

Papers citing "A Unified Approach to Interpreting Model Predictions"

50 / 1,822 papers shown

Title
DISCOVER: Making Vision Networks Interpretable via Competition and Dissection Konstantinos P. Panousis S. Chatzis 62 5 0 07 Oct 2023
Cell Tracking-by-detection using Elliptical Bounding Boxes Lucas N. Kirsten Cláudio R. Jung 23 1 0 07 Oct 2023
LIPEx-Locally Interpretable Probabilistic Explanations-To Look Beyond The True Class Hongbo Zhu Angelo Cangelosi Procheta Sen Anirbit Mukherjee FAtt 55 0 0 07 Oct 2023
A New Baseline Assumption of Integated Gradients Based on Shaply value Shuyang Liu Zixuan Chen Ge Shi Ji Wang Changjie Fan Yu Xiong Runze Wu Yujing Hu Ze Ji Yang Gao 30 3 0 07 Oct 2023
Measuring Information in Text Explanations Zining Zhu Frank Rudzicz FAtt 49 0 0 06 Oct 2023
Multi-decadal Sea Level Prediction using Neural Networks and Spectral Clustering on Climate Model Large Ensembles and Satellite Altimeter Data S. Sinha J. Fasullo R. S. Nerem C. Monteleoni AI4Cl 24 0 0 06 Oct 2023
SPADE: Sparsity-Guided Debugging for Deep Neural Networks Arshia Soltani Moakhar Eugenia Iofinova Elias Frantar Dan Alistarh 73 2 0 06 Oct 2023
Fair Feature Importance Scores for Interpreting Tree-Based Methods and Surrogates Camille Olivia Little Debolina Halder Lina Genevera I. Allen 81 1 0 06 Oct 2023
Introducing the Attribution Stability Indicator: a Measure for Time Series XAI Attributions U. Schlegel Daniel A. Keim AI4TS 63 1 0 06 Oct 2023
DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers Anna Langedijk Hosein Mohebbi Gabriele Sarti Willem H. Zuidema Jaap Jumelet 51 12 0 05 Oct 2023
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally Shawqi Al-Maliki Adnan Qayyum Hassan Ali M. Abdallah Junaid Qadir D. Hoang Dusit Niyato Ala I. Al-Fuqaha AAML 81 3 0 05 Oct 2023
Redefining Digital Health Interfaces with Large Language Models F. Imrie Paulius Rauba M. Schaar AI4MH LM&MA 44 3 0 05 Oct 2023
The Blame Problem in Evaluating Local Explanations, and How to Tackle it Amir Hossein Akhavan Rahnama ELM FAtt 62 4 0 05 Oct 2023
A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4 Katikapalli Subramanyam Kalyan LM&MA AI4CE LRM AILaw ELM 67 231 0 04 Oct 2023
Hate Speech Detection in Limited Data Contexts using Synthetic Data Generation Aman Khullar Daniel K. Nkemelu Cuong V. Nguyen Michael L. Best 53 2 0 04 Oct 2023
Improving Knowledge Distillation with Teacher's Explanation S. Chowdhury Ben Liang A. Tizghadam Ilijc Albanese FAtt 21 0 0 04 Oct 2023
Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data Danrui Qi Jinglin Peng Yongjun He Jiannan Wang TPM 58 3 0 04 Oct 2023
Towards Feasible Counterfactual Explanations: A Taxonomy Guided Template-based NLG Method Pedram Salimi Nirmalie Wiratunga D. Corsar A. Wijekoon 42 1 0 03 Oct 2023
Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving Long Chen Oleg Sinavski Jan Hünermann Alice Karnsund Andrew James Willmott Danny Birch Daniel Maund Jamie Shotton MLLM 52 193 0 03 Oct 2023
CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery Yuxiao Cheng Ziqian Wang Tingxiong Xiao Qin Zhong J. Suo Kunlun He AI4TS CML 43 12 0 03 Oct 2023
Deciphering Diagnoses: How Large Language Models Explanations Influence Clinical Decision Making D. Umerenkov Galina Zubkova A. Nesterov ELM 47 3 0 03 Oct 2023
AI-based association analysis for medical imaging using latent-space geometric confounder correction Xianjing Liu Yue Liu Meike W. Vernooij E. Wolvius Gennady V. Roshchupkin Esther E. Bron MedIm 62 0 0 03 Oct 2023
A Framework for Interpretability in Machine Learning for Medical Imaging Alan Q. Wang Batuhan K. Karaman Heejong Kim Jacob Rosenthal Rachit Saluja Sean I. Young M. Sabuncu AI4CE 95 12 0 02 Oct 2023
Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations Asiful Arefeen Hassan Ghasemzadeh 43 3 0 02 Oct 2023
Defending Against Authorship Identification Attacks Haining Wang 38 1 0 02 Oct 2023
Co-audit: tools to help humans double-check AI-generated content Andrew D. Gordon Carina Negreanu J. Cambronero Rasika Chakravarthy Ian Drosos ... Hannah Richardson Advait Sarkar Stephanie Simmons Jack Williams Ben Zorn 65 13 0 02 Oct 2023
DINE: Dimensional Interpretability of Node Embeddings Simone Piaggesi Megha Khosla Andre' Panisson Avishek Anand 51 6 0 02 Oct 2023
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals Y. Gat Nitay Calderon Amir Feder Alexander Chapanin Amit Sharma Roi Reichart 64 30 0 01 Oct 2023
LaPLACE: Probabilistic Local Model-Agnostic Causal Explanations Sein Minn XAI FAtt CML 16 1 0 01 Oct 2023
Black-box Attacks on Image Activity Prediction and its Natural Language Explanations Alina Elena Baia Valentina Poggioni Andrea Cavallaro AAML 36 1 0 30 Sep 2023
A PSO Based Method to Generate Actionable Counterfactuals for High Dimensional Data Shashank Shekhar Asif Salim Adesh Bansode Vivaswan Jinturkar Anirudha Nayak 33 0 0 30 Sep 2023
Refutation of Shapley Values for XAI -- Additional Evidence Xuanxiang Huang Sasha Rubin AAML 49 4 0 30 Sep 2023
Adversarial Explainability: Utilizing Explainable Machine Learning in Bypassing IoT Botnet Detection Systems M. Alani Atefeh Mashatan Ali Miri AAML 21 1 0 29 Sep 2023
Age Group Discrimination via Free Handwriting Indicators Eugenio Lomurno Simone Toffoli D. D. Febbo Matteo Matteucci Francesca Lunardini Simona Ferrante 49 1 0 29 Sep 2023
Prototype Generation: Robust Feature Visualisation for Data Independent Interpretability Ziyin Li Bao Feng 41 1 0 29 Sep 2023
Dynamic Interpretability for Model Comparison via Decision Rules Adam Rida Marie-Jeanne Lesot Junsheng Wang Liyan Zhang 33 0 0 29 Sep 2023
Tell Me a Story! Narrative-Driven XAI with Large Language Models David Martens James Hinns Camille Dams Mark Vergouwen Theodoros Evgeniou 40 4 0 29 Sep 2023
Reliability Quantification of Deep Reinforcement Learning-based Control Hitoshi Yoshioka Hirotada Hashimoto 44 0 0 29 Sep 2023
Discrete-Choice Model with Generalized Additive Utility Network Tomoki Nishi Yusuke Hara 96 0 0 29 Sep 2023
Axiomatic Aggregations of Abductive Explanations Gagan Biradar Yacine Izza Elita Lobo Vignesh Viswanathan Yair Zick FAtt 52 6 0 29 Sep 2023
Beyond Tides and Time: Machine Learning Triumph in Water Quality Yinpu Li Siqi Mao Yaping Yuan Ziren Wang Yixin Kang Yuanxin Yao 21 0 0 29 Sep 2023
ONNXExplainer: an ONNX Based Generic Framework to Explain Neural Networks Using Shapley Values Yong Zhao Runxin He Nicholas Kersting Can Liu Shubham Agrawal Chiranjeet Chetia Yu Gu FAtt TDI 89 0 0 29 Sep 2023
On Generating Explanations for Reinforcement Learning Policies: An Empirical Study Mikihisa Yuasa Huy T. Tran R. Sreenivas FAtt LRM 87 1 0 29 Sep 2023
Granularity at Scale: Estimating Neighborhood Socioeconomic Indicators from High-Resolution Orthographic Imagery and Hybrid Learning Ethan Brewer Giovani Valdrighi Antonio Longa Joao Rulff Andrea Passerini Zhonghui Lv Manfred Jaeger Claudio Silva 27 0 0 28 Sep 2023
Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution Ying Sun Hengshu Zhu Huixia Xiong TDI FAtt MILM 69 1 0 27 Sep 2023
Neural Stochastic Differential Equations for Robust and Explainable Analysis of Electromagnetic Unintended Radiated Emissions Sumit Kumar Jha Susmit Jha Rickard Ewetz Alvaro Velasquez 40 2 0 27 Sep 2023
DeepROCK: Error-controlled interaction detection in deep neural networks Winston Chen William Stafford Noble Y. Lu 45 1 0 26 Sep 2023
Explaining Deep Face Algorithms through Visualization: A Survey Thrupthi Ann S. M. I. C. V. Balasubramanian M. Jawahar CVBM 42 1 0 26 Sep 2023
Linked shrinkage to improve estimation of interaction effects in regression models Mark van de Wiel Matteo Amestoy J. Hoogland 13 1 0 25 Sep 2023
May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainability Tong Zhang Xiaoyu Yang Boyang Albert Li 51 4 0 25 Sep 2023