CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models

3 September 2021

Papers citing "CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models"

50 / 60 papers shown

Title
Accurate Explanation Model for Image Classifiers using Class Association Embedding Ruitao Xie Jingbang Chen Limai Jiang Rui Xiao Yi-Lun Pan Yunpeng Cai 81 4 0 31 Dec 2024
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments M. Domnich Julius Valja Rasmus Moorits Veski Giacomo Magnifico Kadi Tulver Eduard Barbu Raul Vicente LRM ELM 48 4 0 28 Oct 2024
MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks Cristian-Paul Bara Sky CH-Wang J. Chai 77 64 0 13 Sep 2021
Words aren't enough, their order matters: On the Robustness of Grounding Visual Referring Expressions Arjun Reddy Akula Spandana Gella Yaser Al-Onaizan Song-Chun Zhu Siva Reddy ObjD 26 52 0 04 May 2020
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense Yixin Zhu Tao Gao Lifeng Fan Siyuan Huang Mark Edmonds ... Chi Zhang Siyuan Qi Ying Nian Wu J. Tenenbaum Song-Chun Zhu 65 129 0 20 Apr 2020
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust Arjun Reddy Akula Changsong Liu Sari Saba-Sadiya Hongjing Lu S. Todorovic J. Chai Song-Chun Zhu 29 18 0 15 Sep 2019
Interpretable Counterfactual Explanations Guided by Prototypes A. V. Looveren Janis Klaise FAtt 36 380 0 03 Jul 2019
What Does BERT Look At? An Analysis of BERT's Attention Kevin Clark Urvashi Khandelwal Omer Levy Christopher D. Manning MILM 168 1,586 0 11 Jun 2019
Counterfactual Visual Explanations Yash Goyal Ziyan Wu Jan Ernst Dhruv Batra Devi Parikh Stefan Lee CML 45 510 0 16 Apr 2019
Pixel-Adaptive Convolutional Neural Networks Hang Su Varun Jampani Deqing Sun Orazio Gallo Erik Learned-Miller Jan Kautz 49 287 0 10 Apr 2019
Natural Language Interaction with Explainable AI Models Arjun Reddy Akula S. Todorovic J. Chai Song-Chun Zhu 38 23 0 13 Mar 2019
Attention is not Explanation Sarthak Jain Byron C. Wallace FAtt 68 1,307 0 26 Feb 2019
Interpretable CNNs for Object Classification Quanshi Zhang Xin Eric Wang Ying Nian Wu Huilin Zhou Song-Chun Zhu 30 54 0 08 Jan 2019
Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering Quanshi Zhang Ruiming Cao Ying Nian Wu Song-Chun Zhu 24 14 0 18 Dec 2018
Metrics for Explainable AI: Challenges and Prospects R. Hoffman Shane T. Mueller Gary Klein Jordan Litman XAI 46 721 0 11 Dec 2018
Open the Black Box Data-Driven Explanation of Black Box Decision Systems D. Pedreschi F. Giannotti Riccardo Guidotti A. Monreale Luca Pappalardo Salvatore Ruggieri Franco Turini 74 38 0 26 Jun 2018
Generating Counterfactual Explanations with Natural Language Lisa Anne Hendricks Ronghang Hu Trevor Darrell Zeynep Akata FAtt 23 99 0 26 Jun 2018
On the Robustness of Interpretability Methods David Alvarez-Melis Tommi Jaakkola 35 524 0 21 Jun 2018
Network Transplanting Quanshi Zhang Yu Yang Ying Nian Wu Song-Chun Zhu OOD 30 5 0 26 Apr 2018
Modeling Others using Oneself in Multi-Agent Reinforcement Learning Roberta Raileanu Emily L. Denton Arthur Szlam Rob Fergus 52 200 0 26 Feb 2018
Machine Theory of Mind Neil C. Rabinowitz Frank Perbet H. F. Song Chiyuan Zhang S. M. Ali Eslami M. Botvinick AI4CE 93 470 0 21 Feb 2018
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives Amit Dhurandhar Pin-Yu Chen Ronny Luss Chun-Chen Tu Pai-Shun Ting Karthikeyan Shanmugam Payel Das FAtt 74 587 0 21 Feb 2018
Do deep nets really need weight decay and dropout? Alex Hernández-García Peter König 32 27 0 20 Feb 2018
Model compression via distillation and quantization A. Polino Razvan Pascanu Dan Alistarh MQ 55 722 0 15 Feb 2018
Visual Interpretability for Deep Learning: a Survey Quanshi Zhang Song-Chun Zhu FaML HAI 67 812 0 02 Feb 2018
Interpreting CNNs via Decision Trees Quanshi Zhang Yu Yang Ying Nian Wu Song-Chun Zhu FAtt 30 323 0 01 Feb 2018
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler F. Viégas Rory Sayres FAtt 101 1,817 0 30 Nov 2017
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 34 2,332 0 01 Nov 2017
Interpretable Convolutional Neural Networks Quanshi Zhang Ying Nian Wu Song-Chun Zhu FAtt 25 774 0 02 Oct 2017
Explanation in Artificial Intelligence: Insights from the Social Sciences Tim Miller XAI 198 4,229 0 22 Jun 2017
Teaching Compositionality to CNNs Austin Stone Hua-Yan Wang Michael Stark Yi Liu D. Phoenix Dileep George CoGe 37 54 0 14 Jun 2017
SmoothGrad: removing noise by adding noise D. Smilkov Nikhil Thorat Been Kim F. Viégas Martin Wattenberg FAtt ODL 161 2,211 0 12 Jun 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 67 21,459 0 22 May 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation Ruth C. Fong Andrea Vedaldi FAtt AAML 18 1,514 0 11 Apr 2017
Mining Object Parts from CNNs via Active Question-Answering Quanshi Zhang Ruiming Cao Ying Nian Wu Song-Chun Zhu 26 25 0 11 Apr 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 44 3,848 0 10 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 54 5,920 0 04 Mar 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 313 3,742 0 28 Feb 2017
Sample Efficient Actor-Critic with Experience Replay Ziyun Wang V. Bapst N. Heess Volodymyr Mnih Rémi Munos Koray Kavukcuoglu Nando de Freitas 62 757 0 03 Nov 2016
Universal adversarial perturbations Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard AAML 96 2,520 0 26 Oct 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 141 19,796 0 07 Oct 2016
European Union regulations on algorithmic decision-making and a "right to explanation" B. Goodman Seth Flaxman FaML AILaw 48 1,888 0 28 Jun 2016
LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks Hendrik Strobelt Sebastian Gehrmann Hanspeter Pfister Alexander M. Rush HAI 41 83 0 23 Jun 2016
Rationalizing Neural Predictions Tao Lei Regina Barzilay Tommi Jaakkola 68 807 0 13 Jun 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 43 3,672 0 10 Jun 2016
Attribute And-Or Grammar for Joint Parsing of Human Attributes, Part and Pose Seyoung Park Xiaohan Nie Song-Chun Zhu CVBM 35 18 0 06 May 2016
Generating Visual Explanations Lisa Anne Hendricks Zeynep Akata Marcus Rohrbach Jeff Donahue Bernt Schiele Trevor Darrell VLM FAtt 54 620 0 28 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 133 16,765 0 16 Feb 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 80 9,266 0 14 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 711 192,638 0 10 Dec 2015