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"Why Should I Trust You?": Explaining the Predictions of Any Classifier

16 February 2016

Papers citing ""Why Should I Trust You?": Explaining the Predictions of Any Classifier"

50 / 3,508 papers shown

Title
Linking in Style: Understanding learned features in deep learning models Maren H. Wehrheim Pamela Osuna-Vargas Matthias Kaschube GAN 43 0 0 25 Sep 2024
Enhancing Feature Selection and Interpretability in AI Regression Tasks Through Feature Attribution Alexander Hinterleitner Thomas Bartz-Beielstein Richard Schulz Sebastian Spengler Thomas Winter Christoph Leitenmeier 62 1 0 25 Sep 2024
Entailment-Driven Privacy Policy Classification with LLMs Bhanuka Silva Dishanika Denipitiyage Suranga Seneviratne Anirban Mahanti Aruna Seneviratne AILaw 53 0 0 25 Sep 2024
Counterfactual Token Generation in Large Language Models Ivi Chatzi N. C. Benz Eleni Straitouri Stratis Tsirtsis Manuel Gomez Rodriguez LRM 86 5 0 25 Sep 2024
Leveraging Local Structure for Improving Model Explanations: An Information Propagation Approach Ruo Yang Binghui Wang M. Bilgic FAtt 56 0 0 24 Sep 2024
Machine learning approaches for automatic defect detection in photovoltaic systems Swayam Rajat Mohanty Moin Uddin Maruf Vaibhav Singh Zeeshan Ahmad 31 0 0 24 Sep 2024
Creating Healthy Friction: Determining Stakeholder Requirements of Job Recommendation Explanations Roan Schellingerhout Francesco Barile Nava Tintarev 95 1 0 24 Sep 2024
TSFeatLIME: An Online User Study in Enhancing Explainability in Univariate Time Series Forecasting Hongnan Ma Kevin McAreavey Weiru Liu AI4TS FAtt 41 0 0 24 Sep 2024
Interactive Example-based Explanations to Improve Health Professionals' Onboarding with AI for Human-AI Collaborative Decision Making Min Hun Lee Renee Bao Xuan Ng Silvana Xin Yi Choo S. Thilarajah 45 1 0 24 Sep 2024
Explaining word embeddings with perfect fidelity: Case study in research impact prediction Lucie Dvorackova Marcin P. Joachimiak Michal Cerny Adriana Kubecova Vilem Sklenak Tomas Kliegr 49 0 0 24 Sep 2024
VLM's Eye Examination: Instruct and Inspect Visual Competency of Vision Language Models Nam Hyeon-Woo Moon Ye-Bin Wonseok Choi Lee Hyun Tae-Hyun Oh CoGe 55 3 0 23 Sep 2024
Quantifying Context Bias in Domain Adaptation for Object Detection Hojun Son Asma Almutairi Arpan Kusari AI4CE 116 1 0 23 Sep 2024
A Comprehensive Survey with Critical Analysis for Deepfake Speech Detection Lam Pham Phat Lam Dat Tran Hieu Tang Tin Nguyen Alexander Schindler Canh Vu Alexander Polonsky Canh Vu 97 5 0 23 Sep 2024
EQ-CBM: A Probabilistic Concept Bottleneck with Energy-based Models and Quantized Vectors Sangwon Kim Dasom Ahn B. Ko In-su Jang Kwang-Ju Kim 67 4 0 22 Sep 2024
Explainable AI needs formal notions of explanation correctness Stefan Haufe Rick Wilming Benedict Clark Rustam Zhumagambetov Danny Panknin Ahcène Boubekki XAI 61 2 0 22 Sep 2024
To Err Is AI! Debugging as an Intervention to Facilitate Appropriate Reliance on AI Systems Gaole He Abri Bharos U. Gadiraju 65 4 0 22 Sep 2024
LLMs are One-Shot URL Classifiers and Explainers Fariza Rashid Nishavi Ranaweera Ben Doyle Suranga Seneviratne LRM 78 3 0 22 Sep 2024
ReFine: Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuning Jimeng Shi Azam Shirali Giri Narasimhan AI4TS 70 0 0 21 Sep 2024
The FIX Benchmark: Extracting Features Interpretable to eXperts Helen Jin Shreya Havaldar Chaehyeon Kim Anton Xue Weiqiu You ... Bhuvnesh Jain Amin Madani M. Sako Lyle Ungar Eric Wong 48 1 0 20 Sep 2024
Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study T. Chanda Sarah Haggenmueller Tabea-Clara Bucher Tim Holland-Letz Harald Kittler ... Martin Jansen Juliane Wacker Joerg Wacker Reader Study Consortium T. Brinker 45 1 0 20 Sep 2024
An Adaptive End-to-End IoT Security Framework Using Explainable AI and LLMs S. Baral Sajal Saha Anwar Haque 26 3 0 20 Sep 2024
Interpret the Predictions of Deep Networks via Re-Label Distillation Yingying Hua Shiming Ge Daichi Zhang FAtt 117 0 0 20 Sep 2024
Don't be Fooled: The Misinformation Effect of Explanations in Human-AI Collaboration Philipp Spitzer Joshua Holstein Katelyn Morrison Kenneth Holstein Gerhard Satzger Niklas Kühl 67 3 0 19 Sep 2024
Counterfactual Explanations for Clustering Models Aurora Spagnol Kacper Sokol Pietro Barbiero Marc Langheinrich Martin Gjoreski CML 69 0 0 19 Sep 2024
Explainable AI for Autism Diagnosis: Identifying Critical Brain Regions Using fMRI Data Suryansh Vidya Kush Gupta Amir Aly Andy Wills Emmanuel Ifeachor Rohit Shankar 111 1 0 19 Sep 2024
Abductive explanations of classifiers under constraints: Complexity and properties Martin Cooper Leila Amgoud 55 8 0 18 Sep 2024
Towards Interpretable End-Stage Renal Disease (ESRD) Prediction: Utilizing Administrative Claims Data with Explainable AI Techniques Yubo Li Saba A. Al-Sayouri R. Padman 59 2 0 18 Sep 2024
Additive-feature-attribution methods: a review on explainable artificial intelligence for fluid dynamics and heat transfer Andres Cremades S. Hoyas Ricardo Vinuesa FAtt 51 12 0 18 Sep 2024
Local Explanations and Self-Explanations for Assessing Faithfulness in black-box LLMs Christos Fragkathoulas Odysseas S. Chlapanis LRM 39 1 0 18 Sep 2024
Spontaneous Informal Speech Dataset for Punctuation Restoration Xing Yi Liu Homayoon Beigi 27 0 0 17 Sep 2024
Gradient-free Post-hoc Explainability Using Distillation Aided Learnable Approach Debarpan Bhattacharya A. H. Poorjam Deepak Mittal Sriram Ganapathy 57 0 0 17 Sep 2024
Trustworthy Conceptual Explanations for Neural Networks in Robot Decision-Making Som Sagar Aditya Taparia Harsh Mankodiya Pranav M Bidare Yifan Zhou Ransalu Senanayake FAtt 61 0 0 16 Sep 2024
Aligning Judgment Using Task Context and Explanations to Improve Human-Recommender System Performance Divya K. Srivastava Karen Feigh 56 0 0 16 Sep 2024
LLMs for clinical risk prediction Mohamed Rezk Patricia Cabanillas Silva F. Dahlweid LM&MA 18 0 0 16 Sep 2024
Optimal ablation for interpretability Maximilian Li Lucas Janson FAtt 91 3 0 16 Sep 2024
InfoDisent: Explainability of Image Classification Models by Information Disentanglement Łukasz Struski Dawid Rymarczyk Jacek Tabor 114 1 0 16 Sep 2024
MusicLIME: Explainable Multimodal Music Understanding Theodoros Sotirou Vassilis Lyberatos Orfeas Menis Mastromichalakis Giorgos Stamou 54 3 0 16 Sep 2024
SHIRE: Enhancing Sample Efficiency using Human Intuition in REinforcement Learning Amogh Joshi Adarsh Kosta Kaushik Roy OffRL 73 2 0 16 Sep 2024
Prevailing Research Areas for Music AI in the Era of Foundation Models Megan Wei M. Modrzejewski Aswin Sivaraman Dorien Herremans MedIm 87 2 0 14 Sep 2024
XSub: Explanation-Driven Adversarial Attack against Blackbox Classifiers via Feature Substitution Kiana Vu Phung Lai Truc D. T. Nguyen AAML 51 0 0 13 Sep 2024
Towards certifiable AI in aviation: landscape, challenges, and opportunities Hymalai Bello Daniel Geißler L. Ray Stefan Muller-Divéky Peter Muller Shannon Kittrell Mengxi Liu Bo Zhou Paul Lukowicz 71 1 0 13 Sep 2024
LMAC-TD: Producing Time Domain Explanations for Audio Classifiers Eleonora Mancini Francesco Paissan Mirco Ravanelli Cem Subakan 51 2 0 13 Sep 2024
XMOL: Explainable Multi-property Optimization of Molecules Aye Phyu Phyu Aung Jay Chaudhary Ji Wei Yoon Senthilnath Jayavelu 48 1 0 12 Sep 2024
Visualizing Spatial Semantics of Dimensionally Reduced Text Embeddings Wei Liu Chris North Rebecca Faust 35 0 0 06 Sep 2024
Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm? Rui Wen Michael Backes Yang Zhang TDI AAML 69 2 0 05 Sep 2024
Beyond Model Interpretability: Socio-Structural Explanations in Machine Learning Andrew Smart Atoosa Kasirzadeh 89 6 0 05 Sep 2024
Better Verified Explanations with Applications to Incorrectness and Out-of-Distribution Detection Min Wu Xiaofu Li Haoze Wu Clark Barrett 58 1 0 04 Sep 2024
Decompose the model: Mechanistic interpretability in image models with Generalized Integrated Gradients (GIG) Yearim Kim Sangyu Han Sangbum Han Nojun Kwak 84 0 0 03 Sep 2024
Interpreting Outliers in Time Series Data through Decoding Autoencoder Patrick Knab Sascha Marton Christian Bartelt Robert Fuder 64 1 0 03 Sep 2024
Explanation Space: A New Perspective into Time Series Interpretability Shahbaz Rezaei Xin Liu AI4TS 191 2 0 02 Sep 2024