Visual correspondence-based explanations improve AI robustness and human-AI team accuracy

26 July 2022

Papers citing "Visual correspondence-based explanations improve AI robustness and human-AI team accuracy"

33 / 33 papers shown

Title
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations Indu Panigrahi Sunnie S. Y. Kim Amna Liaqat Rohan Jinturkar Olga Russakovsky Ruth C. Fong Parastoo Abtahi FAtt HAI 57 0 0 14 Apr 2025
Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time J. Donnelly Zhicheng Guo A. Barnett Hayden McTavish Chaofan Chen Cynthia Rudin 55 0 0 03 Mar 2025
Distillation of Diffusion Features for Semantic Correspondence Frank Fundel Johannes Schusterbauer Vincent Tao Hu Bjorn Ommer DiffM 87 3 0 04 Dec 2024
Local vs distributed representations: What is the right basis for interpretability? Julien Colin L. Goetschalckx Thomas Fel Victor Boutin Jay Gopal Thomas Serre Nuria Oliver HAI 29 2 0 06 Nov 2024
Interpretable Image Classification with Adaptive Prototype-based Vision Transformers Chiyu Ma J. Donnelly Wenjun Liu Soroush Vosoughi Cynthia Rudin Chaofan Chen ViT 26 8 0 28 Oct 2024
Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI Elisa Nguyen Johannes Bertram Evgenii Kortukov Jean Y. Song Seong Joon Oh TDI 367 2 0 25 Sep 2024
CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Models Teodor Chiaburu Frank Haußer Felix Bießmann 27 4 0 23 Apr 2024
Allowing humans to interactively guide machines where to look does not always improve human-AI team's classification accuracy Giang Nguyen Mohammad Reza Taesiri Sunnie S. Y. Kim Anh Nguyen HAI AAML FAtt 29 6 0 08 Apr 2024
PEEB: Part-based Image Classifiers with an Explainable and Editable Language Bottleneck Thang M. Pham Peijie Chen Tin Nguyen Seunghyun Yoon Trung Bui Anh Nguyen VLM 38 7 0 08 Mar 2024
Feature Accentuation: Revealing 'What' Features Respond to in Natural Images Christopher Hamblin Thomas Fel Srijani Saha Talia Konkle George A. Alvarez FAtt 21 3 0 15 Feb 2024
Leveraging Habitat Information for Fine-grained Bird Identification Tin Nguyen Anh Nguyen Anh Nguyen VLM 36 0 0 22 Dec 2023
Instance Segmentation under Occlusions via Location-aware Copy-Paste Data Augmentation Son Nguyen Mikel Lainsa Hung Dao Daeyoung Kim Giang Nguyen 11 1 0 27 Oct 2023
Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice Max Schemmer Andrea Bartos Philipp Spitzer Patrick Hemmer Niklas Kühl Jonas Liebschner G. Satzger 21 6 0 03 Oct 2023
May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainability Tong Zhang X. J. Yang Boyang Albert Li 11 3 0 25 Sep 2023
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head Alan Q. Wang Minh Nguyen M. Sabuncu CML OOD 27 1 0 23 Sep 2023
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans Giang Nguyen Valerie Chen Mohammad Reza Taesiri Anh Totti Nguyen 24 4 0 25 Aug 2023
The Impact of Imperfect XAI on Human-AI Decision-Making Katelyn Morrison Philipp Spitzer Violet Turri Michelle C. Feng Niklas Kühl Adam Perer 25 31 0 25 Jul 2023
Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application Sunnie S. Y. Kim E. A. Watkins Olga Russakovsky Ruth C. Fong A. Monroy-Hernández 11 26 0 15 May 2023
In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making Raymond Fok Daniel S. Weld 19 61 0 12 May 2023
Towards a Praxis for Intercultural Ethics in Explainable AI Chinasa T. Okolo 31 2 0 24 Apr 2023
ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification Mohammad Reza Taesiri Giang Nguyen Sarra Habchi C. Bezemer Anh Totti Nguyen VLM 27 20 0 11 Apr 2023
Why is plausibility surprisingly problematic as an XAI criterion? Weina Jin Xiaoxiao Li Ghassan Hamarneh 47 3 0 30 Mar 2023
Learning Human-Compatible Representations for Case-Based Decision Support Han Liu Yizhou Tian Chacha Chen Shi Feng Yuxin Chen Chenhao Tan 13 4 0 06 Mar 2023
Invisible Users: Uncovering End-Users' Requirements for Explainable AI via Explanation Forms and Goals Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Ghassan Hamarneh 8 7 0 10 Feb 2023
Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations Max Schemmer Niklas Kühl Carina Benz Andrea Bartos G. Satzger 14 96 0 04 Feb 2023
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning Yuyang Gao Siyi Gu Junji Jiang S. Hong Dazhou Yu Liang Zhao 24 39 0 07 Dec 2022
A Flexible Nadaraya-Watson Head Can Offer Explainable and Calibrated Classification Alan Q. Wang M. Sabuncu 17 5 0 07 Dec 2022
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations Yao Rong Tobias Leemann Thai-trang Nguyen Lisa Fiedler Peizhu Qian Vaibhav Unhelkar Tina Seidel Gjergji Kasneci Enkelejda Kasneci ELM 25 91 0 20 Oct 2022
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction Sunnie S. Y. Kim E. A. Watkins Olga Russakovsky Ruth C. Fong A. Monroy-Hernández 21 107 0 02 Oct 2022
Machine Explanations and Human Understanding Chacha Chen Shi Feng Amit Sharma Chenhao Tan 19 24 0 08 Feb 2022
What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods Julien Colin Thomas Fel Rémi Cadène Thomas Serre 25 100 0 06 Dec 2021
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 58 114 0 06 Dec 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,190 0 01 Sep 2014