Discovering Causal Signals in Images

26 May 2016

Papers citing "Discovering Causal Signals in Images"

48 / 48 papers shown

Title
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning Numair Sani Daniel Malinsky I. Shpitser CML 86 16 0 10 Jan 2025
Towards Deconfounded Image-Text Matching with Causal Inference Wenhui Li Xinqi Su Dan Song Lanjun Wang Kun Zhang An-An Liu BDL CML 53 10 0 22 Aug 2024
Causal Understanding For Video Question Answering Bhanu Prakash Reddy Guda Tanmay Kulkarni Adithya Sampath Swarnashree Mysore Sathyendra CML 54 0 0 23 Jul 2024
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning Chenxing Hong Yan Jin Zhiqi Kang Yizhou Chen Mengke Li Yang Lu Hanzi Wang 49 3 0 23 Apr 2024
Robust Emotion Recognition in Context Debiasing Dingkang Yang Kun Yang Mingcheng Li Shunli Wang Shuai Wang Lihua Zhang 43 15 0 09 Mar 2024
Positional Information Matters for Invariant In-Context Learning: A Case Study of Simple Function Classes Yongqiang Chen Binghui Xie Kaiwen Zhou Bo Han Yatao Bian James Cheng 35 3 0 30 Nov 2023
Exploiting Causality Signals in Medical Images: A Pilot Study with Empirical Results Gianluca Carloni Sara Colantonio 34 8 0 19 Sep 2023
Nonparametric Identifiability of Causal Representations from Unknown Interventions Julius von Kügelgen M. Besserve Wendong Liang Luigi Gresele Armin Kekić Elias Bareinboim David M. Blei Bernhard Schölkopf CML 23 57 0 01 Jun 2023
Cross-Modal Causal Intervention for Medical Report Generation Weixing Chen Yang Liu Ce Wang Jiarui Zhu Shen Zhao Guanbin Li Cheng-Lin Liu Liang Lin 39 6 0 16 Mar 2023
Learning Latent Structural Causal Models Jithendaraa Subramanian Yashas Annadani Ivaxi Sheth Nan Rosemary Ke T. Deleu Stefan Bauer Derek Nowrouzezahrai Samira Ebrahimi Kahou CML 30 7 0 24 Oct 2022
Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance Xiaoxiao Wang Fanyu Meng Xin Liu Z. Kong Xin Chen XAI CML FAtt 42 4 0 24 Oct 2022
Causal Inference for De-biasing Motion Estimation from Robotic Observational Data Junhong Xu Kai-Li Yin Jason M. Gregory Lantao Liu CML 23 3 0 17 Oct 2022
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective Jiangmeng Li Yanan Zhang Jingyao Wang Hui Xiong Chengbo Jiao Xiaohui Hu Changwen Zheng Gang Hua CML 45 28 0 26 Aug 2022
Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification Xulin Li Yan Lu B. Liu Yating Liu Guojun Yin Qi Chu Jinyang Huang Feng Zhu Rui Zhao Nenghai Yu 19 29 0 01 Aug 2022
Image-based Treatment Effect Heterogeneity Connor Jerzak Fredrik D. Johansson Adel Daoud 34 20 0 13 Jun 2022
Do learned representations respect causal relationships? Lan Wang Vishnu Boddeti NAI CML OOD 42 6 0 02 Apr 2022
From Statistical to Causal Learning Bernhard Schölkopf Julius von Kügelgen CML 32 45 0 01 Apr 2022
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning Quang Pham Chenghao Liu Guosheng Lin BDL OnRL 38 57 0 30 Mar 2022
Towards Domain Generalization in Object Detection Xingxuan Zhang Zekai Xu Renzhe Xu Jiashuo Liu Peng Cui Weitao Wan Chong Sun Chen Li ObjD OOD 26 21 0 27 Mar 2022
Debiased Graph Neural Networks with Agnostic Label Selection Bias Shaohua Fan Xiao Wang Chuan Shi Kun Kuang Nian Liu Bai Wang AI4CE 44 38 0 19 Jan 2022
Encoding Causal Macrovariables Benedikt Höltgen CML 21 3 0 29 Nov 2021
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs Shaohua Fan Xiao Wang Chuan Shi Peng Cui Bai Wang CML OOD OODD AI4CE 62 81 0 20 Nov 2021
Human Trajectory Prediction via Counterfactual Analysis Guangyi Chen Junlong Li Jiwen Lu Jie Zhou 27 67 0 29 Jul 2021
A Survey on Bias in Visual Datasets Simone Fabbrizzi Symeon Papadopoulos Eirini Ntoutsi Y. Kompatsiaris 132 122 0 16 Jul 2021
Learning latent causal graphs via mixture oracles Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam CML 33 47 0 29 Jun 2021
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks Eli Chien Chao Pan Jianhao Peng O. Milenkovic GNN 49 129 0 24 Jun 2021
Interventional Video Grounding with Dual Contrastive Learning Guoshun Nan Rui Qiao Yao Xiao Jun Liu Sicong Leng H. Zhang Wei Lu 28 144 0 21 Jun 2021
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization Damien Teney Ehsan Abbasnejad Simon Lucey Anton Van Den Hengel 51 87 0 12 May 2021
Contrastive Reasoning in Neural Networks Mohit Prabhushankar Ghassan AlRegib 17 10 0 23 Mar 2021
Extracting Causal Visual Features for Limited label Classification Mohit Prabhushankar Ghassan AlRegib CML 27 21 0 23 Mar 2021
Causal inference using deep neural networks Ye Yuan Xueying Ding Z. Bar-Joseph BDL CML 26 2 0 25 Nov 2020
Learning Causal Semantic Representation for Out-of-Distribution Prediction Chang-Shu Liu Xinwei Sun Jindong Wang Haoyue Tang Tao Li Tao Qin Wei Chen Tie-Yan Liu CML OODD OOD 35 104 0 03 Nov 2020
Reinforcement Learning of Causal Variables Using Mediation Analysis Tue Herlau Rasmus Larsen OOD CML 32 8 0 29 Oct 2020
Interventional Few-Shot Learning Zhongqi Yue Hanwang Zhang Qianru Sun Xiansheng Hua 26 225 0 28 Sep 2020
Contextual Semantic Interpretability Diego Marcos Ruth C. Fong Sylvain Lobry Rémi Flamary Nicolas Courty D. Tuia SSL 20 27 0 18 Sep 2020
A causal view of compositional zero-shot recognition Yuval Atzmon Felix Kreuk Uri Shalit Gal Chechik OCL BDL CML 61 118 0 25 Jun 2020
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps Tobias Huber Katharina Weitz Elisabeth André Ofra Amir FAtt 21 64 0 18 May 2020
Urban Anomaly Analytics: Description, Detection, and Prediction Mingyang Zhang Tong Li Yue Yu Yong Li Pan Hui Yu Zheng 33 75 0 25 Apr 2020
A Critical View of the Structural Causal Model Tomer Galanti Ofir Nabati Lior Wolf CML 29 9 0 23 Feb 2020
Causal Discovery from Incomplete Data: A Deep Learning Approach Yuhao Wang Vlado Menkovski Hao Wang Xin Du Mykola Pechenizkiy CML 33 34 0 15 Jan 2020
Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method Pengzhou (Abel) Wu Kenji Fukumizu CML 27 26 0 07 Jan 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 41 6,125 0 22 Oct 2019
Predicting with High Correlation Features Devansh Arpit Caiming Xiong R. Socher OODD OOD 16 7 0 01 Oct 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 75 2,165 0 05 Jul 2019
MUREL: Multimodal Relational Reasoning for Visual Question Answering Rémi Cadène H. Ben-younes Matthieu Cord Nicolas Thome LRM 19 272 0 25 Feb 2019
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks Juho Lee Yoonho Lee Jungtaek Kim Adam R. Kosiorek Seungjin Choi Yee Whye Teh 23 274 0 01 Oct 2018
A Survey of Learning Causality with Data: Problems and Methods Ruocheng Guo Lu Cheng Jundong Li P. R. Hahn Huan Liu CML 35 168 0 25 Sep 2018
Causally Regularized Learning with Agnostic Data Selection Bias Zheyan Shen Peng Cui Kun Kuang Yangqiu Song Peixuan Chen OOD 25 93 0 22 Aug 2017