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Discovering Causal Signals in Images

26 May 2016

Papers citing "Discovering Causal Signals in Images"

50 / 69 papers shown

Title
Causal-LLaVA: Causal Disentanglement for Mitigating Hallucination in Multimodal Large Language Models Xinmiao Hu C. Wang Ruihe An ChenYu Shao Xiaojun Ye Sheng Zhou Liangcheng Li MLLM LRM 65 0 0 26 May 2025
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning Jiaru Zhang Rui Ding Qiang Fu Bojun Huang Zizhen Deng Yang Hua Haibing Guan Shi Han Dongmei Zhang CML 83 0 0 15 Feb 2025
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning Numair Sani Daniel Malinsky I. Shpitser CML 192 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 87 11 0 22 Aug 2024
Primary and Secondary Factor Consistency as Domain Knowledge to Guide Happiness Computing in Online Assessment Xiaohua Wu Lin Li Xiaohui Tao Frank Xing Jingling Yuan 41 0 0 17 Feb 2024
Graph Structure Inference with BAM: Introducing the Bilinear Attention Mechanism Philipp Froehlich Heinz Koeppl GNN 55 2 0 12 Feb 2024
RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-centric Learning Nathan G. Drenkow Mathias Unberath 73 5 0 28 Aug 2023
On the Identifiability of Quantized Factors Vitória Barin Pacela Kartik Ahuja Simon Lacoste-Julien Pascal Vincent OOD CML 83 1 0 28 Jun 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 184 65 0 01 Jun 2023
Clothes-Invariant Feature Learning by Causal Intervention for Clothes-Changing Person Re-identification Xulin Li Yan Lu B. Liu Yuenan Hou Yating Liu Qi Chu Wanli Ouyang Nenghai Yu OOD CML 77 5 0 10 May 2023
Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance Xiaoxiao Wang Fanyu Meng Xin Liu Z. Kong Xin Chen XAI CML FAtt 95 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 98 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 112 30 0 26 Aug 2022
Image-based Treatment Effect Heterogeneity Connor Jerzak Fredrik D. Johansson Adel Daoud 123 22 0 13 Jun 2022
Do learned representations respect causal relationships? Lan Wang Vishnu Boddeti NAI CML OOD 93 6 0 02 Apr 2022
From Statistical to Causal Learning Bernhard Schölkopf Julius von Kügelgen CML 100 46 0 01 Apr 2022
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning Quang Pham Chenghao Liu Guosheng Lin BDL OnRL 85 60 0 30 Mar 2022
Finding Structure and Causality in Linear Programs Matej Zečević Florian Peter Busch Devendra Singh Dhami Kristian Kersting CML 35 0 0 29 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 100 25 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 103 39 0 19 Jan 2022
Encoding Causal Macrovariables Benedikt Höltgen CML 43 5 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 167 89 0 20 Nov 2021
ML4C: Seeing Causality Through Latent Vicinity Haoyue Dai Rui Ding Yuanyuan Jiang Shi Han Dongmei Zhang OOD 86 13 0 01 Oct 2021
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification Yongming Rao Guangyi Chen Jiwen Lu Jie Zhou CML OOD 90 247 0 19 Aug 2021
Human Trajectory Prediction via Counterfactual Analysis Guangyi Chen Junlong Li Jiwen Lu Jie Zhou 89 69 0 29 Jul 2021
A Survey on Bias in Visual Datasets Simone Fabbrizzi Symeon Papadopoulos Eirini Ntoutsi Y. Kompatsiaris 203 129 0 16 Jul 2021
Learning latent causal graphs via mixture oracles Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam CML 82 48 0 29 Jun 2021
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks Eli Chien Chao Pan Jianhao Peng O. Milenkovic GNN 123 133 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 96 145 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 117 90 0 12 May 2021
Deep Stable Learning for Out-Of-Distribution Generalization Xingxuan Zhang Peng Cui Renzhe Xu Linjun Zhou Yue He Zheyan Shen OOD 90 259 0 16 Apr 2021
ACRE: Abstract Causal REasoning Beyond Covariation Fangqiu Yi Baoxiong Jia Mark Edmonds Song-Chun Zhu Yixin Zhu CML 130 48 0 26 Mar 2021
Contrastive Reasoning in Neural Networks Mohit Prabhushankar Ghassan AlRegib 80 10 0 23 Mar 2021
Extracting Causal Visual Features for Limited label Classification Mohit Prabhushankar Ghassan AlRegib CML 67 21 0 23 Mar 2021
Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding Bruno Andreis Jeffrey Willette Juho Lee Sung Ju Hwang 67 9 0 02 Mar 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 160 323 0 22 Feb 2021
Causal World Models by Unsupervised Deconfounding of Physical Dynamics Minne Li Mengyue Yang Furui Liu Xu Chen Zhitang Chen Jun Wang SyDa CML 50 13 0 28 Dec 2020
Causal inference using deep neural networks Ye Yuan Xueying Ding Z. Bar-Joseph BDL CML 50 2 0 25 Nov 2020
iPerceive: Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering Aman Chadha Gurneet Arora Navpreet Kaloty 66 37 0 16 Nov 2020
Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks Minshuo Chen Hao Liu Wenjing Liao T. Zhao CML OOD OffRL 46 7 0 03 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 153 107 0 03 Nov 2020
CASTLE: Regularization via Auxiliary Causal Graph Discovery Trent Kyono Yao Zhang M. Schaar OOD CML 84 69 0 28 Sep 2020
Interventional Few-Shot Learning Zhongqi Yue Hanwang Zhang Qianru Sun Xiansheng Hua 113 235 0 28 Sep 2020
Contextual Semantic Interpretability Diego Marcos Ruth C. Fong Sylvain Lobry Rémi Flamary Nicolas Courty D. Tuia SSL 122 28 0 18 Sep 2020
Causal Adversarial Network for Learning Conditional and Interventional Distributions Raha Moraffah Bahman Moraffah Mansooreh Karami A. Raglin Huan Liu OOD GAN CML 87 21 0 26 Aug 2020
DeVLBert: Learning Deconfounded Visio-Linguistic Representations Shengyu Zhang Tan Jiang Tan Wang Kun Kuang Zhou Zhao Jianke Zhu Jin Yu Hongxia Yang Leilei Gan OOD 81 88 0 16 Aug 2020
A causal view of compositional zero-shot recognition Yuval Atzmon Felix Kreuk Uri Shalit Gal Chechik OCL BDL CML 111 125 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 77 67 0 18 May 2020
Urban Anomaly Analytics: Description, Detection, and Prediction Mingyang Zhang Tong Li Yue Yu Yong Li Pan Hui Yu Zheng 66 77 0 25 Apr 2020
Visual Commonsense R-CNN Tan Wang Jianqiang Huang Hanwang Zhang Qianru Sun SSL ObjD CML 86 252 0 27 Feb 2020