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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 / 4,966 papers shown

Title
DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation Yingying Fang Shuang Wu Zihao Jin Caiwen Xu Shiyi Wang Simon Walsh Guang Yang MedIm 93 6 0 21 Jun 2024
Online detection and infographic explanation of spam reviews with data drift adaptation Francisco de Arriba-Pérez Silvia García-Méndez Fátima Leal Benedita Malheiro J. C. Burguillo 46 0 0 21 Jun 2024
Self-supervised Interpretable Concept-based Models for Text Classification Francesco De Santis Philippe Bich Gabriele Ciravegna Pietro Barbiero Danilo Giordano Tania Cerquitelli 49 1 0 20 Jun 2024
Reasoning with trees: interpreting CNNs using hierarchies Caroline Mazini Rodrigues Nicolas Boutry Laurent Najman 49 0 0 19 Jun 2024
Investigating the Role of Explainability and AI Literacy in User Compliance Niklas Kühl Christian Meske Maximilian Nitsche Jodie Lobana 37 5 0 18 Jun 2024
Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models Hengyi Wang Shiwei Tan Hao Wang BDL 112 7 0 18 Jun 2024
MiSuRe is all you need to explain your image segmentation Syed Nouman Hasany Fabrice Mériaudeau Caroline Petitjean 30 2 0 18 Jun 2024
WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions Seyedali Mohammadi Edward Raff Jinendra Malekar Vedant Palit Francis Ferraro Manas Gaur AI4MH 81 3 0 17 Jun 2024
On GNN explanability with activation rules Luca Veyrin-Forrer Ataollah Kamal Stefan Duffner Marc Plantevit C. Robardet AI4CE 51 2 0 17 Jun 2024
GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in Explanations Rick Wilming Artur Dox Hjalmar Schulz Marta Oliveira Benedict Clark Stefan Haufe 100 2 0 17 Jun 2024
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models Shuo Yang Chenchen Yuan Yao Rong Felix Steinbauer Gjergji Kasneci 89 1 0 17 Jun 2024
CELL your Model: Contrastive Explanations for Large Language Models Ronny Luss Erik Miehling Amit Dhurandhar 137 0 0 17 Jun 2024
SynthTree: Co-supervised Local Model Synthesis for Explainable Prediction Evgenii Kuriabov Jia Li 58 0 0 16 Jun 2024
IG2: Integrated Gradient on Iterative Gradient Path for Feature Attribution Yue Zhuo Zhiqiang Ge 57 9 0 16 Jun 2024
E-SAGE: Explainability-based Defense Against Backdoor Attacks on Graph Neural Networks Dingqiang Yuan Xiaohua Xu Lei Yu Tongchang Han Rongchang Li Meng Han AAML 63 1 0 15 Jun 2024
A Theory of Interpretable Approximations Marco Bressan Nicolò Cesa-Bianchi Emmanuel Esposito Yishay Mansour Shay Moran Maximilian Thiessen FAtt 80 5 0 15 Jun 2024
Phoneme Discretized Saliency Maps for Explainable Detection of AI-Generated Voice Shubham Gupta Mirco Ravanelli Pascal Germain Cem Subakan FAtt 65 4 0 14 Jun 2024
Selecting Interpretability Techniques for Healthcare Machine Learning models Daniel Sierra-Botero Ana Molina-Taborda Mario S. Valdés-Tresanco Alejandro Hernández-Arango Leonardo Espinosa-Leal Alexander Karpenko O. Lopez-Acevedo 106 0 0 14 Jun 2024
Trustworthy Artificial Intelligence in the Context of Metrology Tameem Adel Sam Bilson Mark Levene Andrew Thompson 68 3 0 14 Jun 2024
Challenges in explaining deep learning models for data with biological variation Lenka Tětková E. Dreier Robin Malm Lars Kai Hansen AAML 64 1 0 14 Jun 2024
Enhancing Text Corpus Exploration with Post Hoc Explanations and Comparative Design Michael Gleicher Keaton Leppenan Yunyu Bai 63 0 0 14 Jun 2024
Explainable AI for Comparative Analysis of Intrusion Detection Models Pap M. Corea Yongxin Liu Jian Wang Shuteng Niu Houbing Song 76 6 0 14 Jun 2024
On the Robustness of Global Feature Effect Explanations Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek 84 2 0 13 Jun 2024
Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency Maor Dikter Tsachi Blau Chaim Baskin 116 0 0 13 Jun 2024
Applications of Explainable artificial intelligence in Earth system science Feini Huang Shijie Jiang Lu Li Yongkun Zhang Ye Zhang Ruqing Zhang Qingliang Li Danxi Li Wei Shangguan Yongjiu Dai 75 2 0 12 Jun 2024
How Interpretable Are Interpretable Graph Neural Networks? Yongqiang Chen Yatao Bian Bo Han James Cheng 90 7 0 12 Jun 2024
Are Objective Explanatory Evaluation metrics Trustworthy? An Adversarial Analysis Prithwijit Chowdhury Mohit Prabhushankar Ghassan AlRegib Mohamed Deriche 103 2 0 12 Jun 2024
Unifying Interpretability and Explainability for Alzheimer's Disease Progression Prediction Raja Farrukh Ali Stephanie Milani John Woods Emmanuel Adenij Ayesha Farooq Clayton Mansel Jeffrey Burns William Hsu 69 0 0 11 Jun 2024
Graphical Perception of Saliency-based Model Explanations Yayan Zhao Mingwei Li Matthew Berger XAI FAtt 82 2 0 11 Jun 2024
Agnostic Sharpness-Aware Minimization Van-Anh Nguyen Quyen Tran Tuan Truong Thanh-Toan Do Dinh Q. Phung Trung Le 98 0 0 11 Jun 2024
MaskLID: Code-Switching Language Identification through Iterative Masking Amir Hossein Kargaran François Yvon Hinrich Schütze 61 2 0 10 Jun 2024
Beyond Trend Following: Deep Learning for Market Trend Prediction Fernando Berzal Alberto Garcia 75 0 0 10 Jun 2024
Explainable AI for Mental Disorder Detection via Social Media: A survey and outlook Yusif Ibrahimov Tarique Anwar Tommy Yuan 71 4 0 10 Jun 2024
Sequential Binary Classification for Intrusion Detection Ishan Chokshi Shrihari Vasudevan Nachiappan Sundaram Raaghul Ranganathan 135 0 0 10 Jun 2024
Methodology and Real-World Applications of Dynamic Uncertain Causality Graph for Clinical Diagnosis with Explainability and Invariance Zhan Zhang Qin Zhang Yang Jiao Lin Lu Lin Ma ... Yiming Wang Lei Zhang Fengwei Tian Jie Hu Xin Gou CML MedIm 59 1 0 09 Jun 2024
Understanding Inhibition Through Maximally Tense Images Chris Hamblin Srijani Saha Talia Konkle George Alvarez FAtt 42 0 0 08 Jun 2024
Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactuals Susu Sun S. Woerner Andreas Maier Lisa M. Koch Christian F. Baumgartner FAtt 72 1 0 08 Jun 2024
Automated Trustworthiness Testing for Machine Learning Classifiers Steven Cho Seaton Cousins-Baxter Stefano Ruberto Valerio Terragni 97 0 0 07 Jun 2024
DiffusionPID: Interpreting Diffusion via Partial Information Decomposition Shaurya Dewan Rushikesh Zawar Prakanshul Saxena Yingshan Chang Andrew F. Luo Yonatan Bisk DiffM 117 4 0 07 Jun 2024
Provably Better Explanations with Optimized Aggregation of Feature Attributions Thomas Decker Ananta R. Bhattarai Jindong Gu Volker Tresp Florian Buettner 77 3 0 07 Jun 2024
Classification Metrics for Image Explanations: Towards Building Reliable XAI-Evaluations Benjamin Frész Lena Lörcher Marco F. Huber 62 5 0 07 Jun 2024
Leveraging Activations for Superpixel Explanations Ahcène Boubekki Samuel G. Fadel Sebastian Mair AAML FAtt XAI 61 0 0 07 Jun 2024
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions Jingtan Wang Xiaoqiang Lin Rui Qiao Chuan-Sheng Foo Bryan Kian Hsiang Low TDI 63 5 0 07 Jun 2024
Shaping History: Advanced Machine Learning Techniques for the Analysis and Dating of Cuneiform Tablets over Three Millennia Danielle Kapon Michael Fire S. Gordin 107 1 0 06 Jun 2024
POEM: Interactive Prompt Optimization for Enhancing Multimodal Reasoning of Large Language Models Jianben He Xingbo Wang Shiyi Liu Guande Wu Claudio Silva Huamin Qu LRM 57 3 0 06 Jun 2024
GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks Hsiao-Ying Lu Yiran Li Ujwal Pratap Krishna Kaluvakolanu Thyagarajan K. Ma 62 0 0 06 Jun 2024
Why is "Problems" Predictive of Positive Sentiment? A Case Study of Explaining Unintuitive Features in Sentiment Classification Jiaming Qu Jaime Arguello Yue Wang FAtt 58 1 0 05 Jun 2024
Post-hoc Part-prototype Networks Andong Tan Fengtao Zhou Hao Chen 58 5 0 05 Jun 2024
Tensor Polynomial Additive Model Yang Chen Ce Zhu Jiani Liu Yipeng Liu TPM 60 0 0 05 Jun 2024
Language Model Can Do Knowledge Tracing: Simple but Effective Method to Integrate Language Model and Knowledge Tracing Task Unggi Lee Jiyeong Bae Dohee Kim Sookbun Lee Jaekwon Park Taekyung Ahn Gunho Lee Damji Stratton Hyeoncheol Kim AI4Ed KELM 63 12 0 05 Jun 2024