v1v2 (latest)

Axiomatic Attribution for Deep Networks

4 March 2017

Ankur Taly

Papers citing "Axiomatic Attribution for Deep Networks"

50 / 2,872 papers shown

Title
Recent advances in artificial intelligence for retrosynthesis Zipeng Zhong Mingli Song Zunlei Feng Tiantao Liu Lingxiang Jia Shaolun Yao Tingjun Hou Mingli Song 84 5 0 14 Jan 2023
Multilingual Detection of Check-Worthy Claims using World Languages and Adapter Fusion Ipek Baris Schlicht Lucie Flek Paolo Rosso 62 8 0 13 Jan 2023
It's Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers Ana-Maria Bucur Adrian Cosma Paolo Rosso Liviu P. Dinu 84 34 0 13 Jan 2023
Hierarchical Dynamic Masks for Visual Explanation of Neural Networks Yitao Peng Longzhen Yang Yihang Liu Lianghua He FAtt 64 4 0 12 Jan 2023
SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddings Jan Engler Sandipan Sikdar Marlene Lutz M. Strohmaier 85 7 0 11 Jan 2023
MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope Jingwei Zhang Farzan Farnia UQCV 71 4 0 08 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 82 11 0 07 Jan 2023
Deep Biological Pathway Informed Pathology-Genomic Multimodal Survival Prediction Lin Qiu Aminollah Khormali Kai Liu 72 9 0 06 Jan 2023
Semantic match: Debugging feature attribution methods in XAI for healthcare Giovanni Cina Tabea E. Rober Rob Goedhart cS. .Ilker Birbil 89 4 0 05 Jan 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 104 2 0 03 Jan 2023
Learning to Maximize Mutual Information for Dynamic Feature Selection Ian Covert Wei Qiu Mingyu Lu Nayoon Kim Nathan White Su-In Lee 85 30 0 02 Jan 2023
ExploreADV: Towards exploratory attack for Neural Networks Tianzuo Luo Yuyi Zhong S. Khoo AAML 74 1 0 01 Jan 2023
Unpacking the "Black Box" of AI in Education Nabeel Gillani R. Eynon Catherine Chiabaut Kelsey Finkel 76 59 0 31 Dec 2022
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces Pattarawat Chormai J. Herrmann Klaus-Robert Muller G. Montavon FAtt 132 20 0 30 Dec 2022
Provable Robust Saliency-based Explanations Chao Chen Chenghua Guo Guixiang Ma Ming Zeng Xi Zhang Sihong Xie AAML FAtt 101 1 0 28 Dec 2022
DeepCuts: Single-Shot Interpretability based Pruning for BERT Jasdeep Singh Grover Bhavesh Gawri R. Manku 60 1 0 27 Dec 2022
Explainable AI for Bioinformatics: Methods, Tools, and Applications Md. Rezaul Karim Tanhim Islam Oya Beyan Christoph Lange Michael Cochez Dietrich-Rebholz Schuhmann Stefan Decker 114 79 0 25 Dec 2022
Relational Local Explanations V. Borisov Gjergji Kasneci FAtt 75 0 0 23 Dec 2022
Impossibility Theorems for Feature Attribution Blair Bilodeau Natasha Jaques Pang Wei Koh Been Kim FAtt 108 79 0 22 Dec 2022
DExT: Detector Explanation Toolkit Deepan Padmanabhan Paul G. Plöger Octavio Arriaga Matias Valdenegro-Toro 73 2 0 21 Dec 2022
CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive Learning Xiaoming Liu Zhaohan Zhang Yichen Wang Hang Pu Y. Lan Chao Shen 99 41 0 20 Dec 2022
A Comparative Study on Textual Saliency of Styles from Eye Tracking, Annotations, and Language Models Karin de Langis Dongyeop Kang 105 1 0 19 Dec 2022
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning Soumya Sanyal Yichong Xu Shuohang Wang Ziyi Yang Reid Pryzant Wenhao Yu Chenguang Zhu Xiang Ren ReLM LRM 101 10 0 19 Dec 2022
Estimating the Adversarial Robustness of Attributions in Text with Transformers Adam Ivankay Mattia Rigotti Ivan Girardi Chiara Marchiori P. Frossard 65 1 0 18 Dec 2022
Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu AAML 90 7 0 18 Dec 2022
AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis Zifan Liu Evan Rosen P. Suganthan 54 1 0 18 Dec 2022
It is not "accuracy vs. explainability" -- we need both for trustworthy AI systems D. Petkovic 88 25 0 16 Dec 2022
Robust Explanation Constraints for Neural Networks Matthew Wicker Juyeon Heo Luca Costabello Adrian Weller FAtt 65 18 0 16 Dec 2022
An Empirical Study of Deep Learning Models for Vulnerability Detection Benjamin Steenhoek Md. Mahbubur Rahman Richard Jiles Wei Le ELM AAML 93 93 0 15 Dec 2022
Interpretable ML for Imbalanced Data Damien Dablain C. Bellinger Bartosz Krawczyk D. Aha Nitesh Chawla 86 1 0 15 Dec 2022
Explainability of Text Processing and Retrieval Methods: A Critical Survey Sourav Saha Debapriyo Majumdar Mandar Mitra 98 5 0 14 Dec 2022
On the Relationship Between Explanation and Prediction: A Causal View Amir-Hossein Karimi Krikamol Muandet Simon Kornblith Bernhard Schölkopf Been Kim FAtt CML 109 14 0 13 Dec 2022
Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods Ming-Xiu Jiang Saeed Khorram Li Fuxin FAtt 117 11 0 13 Dec 2022
Adversarial Attacks and Defences for Skin Cancer Classification Vinay Jogani J. Purohit Ishaan Shivhare Samina Attari S. Shrawne AAML MedIm 57 2 0 13 Dec 2022
Interpretable Diabetic Retinopathy Diagnosis based on Biomarker Activation Map P. Zang T. Hormel Jie Wang Yukun Guo Steven T. Bailey C. Flaxel David Huang T. Hwang Yali Jia MedIm 79 8 0 13 Dec 2022
Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks Qihan Huang Mengqi Xue Wenqi Huang Haofei Zhang Mingli Song Yongcheng Jing Mingli Song AAML 84 28 0 12 Dec 2022
Measuring the Driving Forces of Predictive Performance: Application to Credit Scoring Hué Sullivan Hurlin Christophe Pérignon Christophe Saurin Sébastien 112 0 0 12 Dec 2022
Utilizing Mutations to Evaluate Interpretability of Neural Networks on Genomic Data Utku Ozbulak Solha Kang Jasper Zuallaert Stephen Depuydt J. Vankerschaver 33 0 0 12 Dec 2022
Improving Precancerous Case Characterization via Transformer-based Ensemble Learning Yizhen Zhong Jiajie Xiao Thomas Vetterli M. Matin E. Loo Jimmy J. Lin R. Bourgon Ofer Shapira MedIm 59 1 0 10 Dec 2022
Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation Julius Adebayo M. Muelly H. Abelson Been Kim 92 87 0 09 Dec 2022
XRand: Differentially Private Defense against Explanation-Guided Attacks Truc D. T. Nguyen Phung Lai Nhathai Phan My T. Thai AAML SILM 92 16 0 08 Dec 2022
Towards Explainable Motion Prediction using Heterogeneous Graph Representations Sandra Carrasco Limeros Sylwia Majchrowska Joakim Johnander Christoffer Petersson David Fernández Llorca 73 16 0 07 Dec 2022
Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief Review Jiangjie Chen Yanghua Xiao 118 5 0 07 Dec 2022
Truthful Meta-Explanations for Local Interpretability of Machine Learning Models Ioannis Mollas Nick Bassiliades Grigorios Tsoumakas 57 3 0 07 Dec 2022
This changes to that : Combining causal and non-causal explanations to generate disease progression in capsule endoscopy Anuja Vats A. Mohammed Marius Pedersen Nirmalie Wiratunga MedIm 55 9 0 05 Dec 2022
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning Mingyuan Fan Cen Chen Chengyu Wang Ximeng Liu Wenmeng Zhou AAML FedML 118 0 0 05 Dec 2022
Applying Multilingual Models to Question Answering (QA) Ayrton San Joaquin Filip Skubacz 39 1 0 04 Dec 2022
A Survey on Medical Document Summarization Raghav Jain Anubhav Jangra S. Saha Adam Jatowt 3DGS MedIm 82 19 0 03 Dec 2022
Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learning Jiasheng Si Yingjie Zhu Deyu Zhou 106 16 0 02 Dec 2022
Optimizing Explanations by Network Canonization and Hyperparameter Search Frederik Pahde Galip Umit Yolcu Alexander Binder Wojciech Samek Sebastian Lapuschkin 125 11 0 30 Nov 2022