Compositional Risk Minimization

8 October 2024

Papers citing "Compositional Risk Minimization"

45 / 45 papers shown

Title
Compositional Scene Understanding through Inverse Generative Modeling Yanbo Wang Justin Dauwels Yilun Du OCL 58 0 0 27 May 2025
Position: An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research Patrik Reizinger Randall Balestriero David Klindt Wieland Brendel 123 0 0 17 Apr 2025
Generative Trajectory Stitching through Diffusion Composition Yunhao Luo Utkarsh Aashu Mishra Yilun Du Danfei Xu 386 5 0 07 Mar 2025
Synthetic Data is an Elegant GIFT for Continual Vision-Language Models Bin Wu Wuxuan Shi Jinqiao Wang Mang Ye CLL VLM 70 0 0 06 Mar 2025
Compositional Image Decomposition with Diffusion Models Jocelin Su Nan Liu Yanbo Wang Joshua B. Tenenbaum Yilun Du CoGe 63 8 0 27 Jun 2024
Discovering modular solutions that generalize compositionally Simon Schug Seijin Kobayashi Yassir Akram Maciej Wolczyk Alexandra Proca J. Oswald Razvan Pascanu João Sacramento Angelika Steger 26 14 0 22 Dec 2023
Group Robust Classification Without Any Group Information Christos Tsirigotis João Monteiro Pau Rodríguez David Vazquez Aaron Courville OOD 75 22 0 28 Oct 2023
Provable Compositional Generalization for Object-Centric Learning Thaddäus Wiedemer Jack Brady Alexander Panfilov Attila Juhos Matthias Bethge Wieland Brendel OCL 69 20 0 09 Oct 2023
Discovering environments with XRM Mohammad Pezeshki Diane Bouchacourt Mark Ibrahim Jimuyang Zhang Pascal Vincent David Lopez-Paz 52 19 0 28 Sep 2023
Compositional Generalization from First Principles Thaddäus Wiedemer Prasanna Mayilvahanan Matthias Bethge Wieland Brendel OCL 59 43 0 10 Jul 2023
Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation Sébastien Lachapelle Divyat Mahajan Ioannis Mitliagkas Simon Lacoste-Julien 58 28 0 05 Jul 2023
Provably Learning Object-Centric Representations Jack Brady Roland S. Zimmermann Yash Sharma Bernhard Schölkopf Julius von Kügelgen Wieland Brendel OCL 45 35 0 23 May 2023
Change is Hard: A Closer Look at Subpopulation Shift Yuzhe Yang Haoran Zhang Dina Katabi Marzyeh Ghassemi OOD 43 105 0 23 Feb 2023
Concept Algebra for (Score-Based) Text-Controlled Generative Models Zihao Wang Lin Gui Jeffrey Negrea Victor Veitch CoGe DiffM 62 39 0 07 Feb 2023
A Survey on Compositional Generalization in Applications Baihan Lin Djallel Bouneffouf Irina Rish AI4CE 63 13 0 02 Feb 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning Yuejiang Liu Alexandre Alahi Chris Russell Max Horn Dominik Zietlow Bernhard Schölkopf Francesco Locatello CML 83 22 0 12 Jan 2023
Avoiding spurious correlations via logit correction Sheng Liu Xu Zhang Nitesh Sekhar Yue Wu Prateek Singhal C. Fernandez‐Granda 53 30 0 02 Dec 2022
First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains Kefan Dong Tengyu Ma OOD 47 20 0 21 Nov 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 321 1,374 0 02 Sep 2022
Compositional Visual Generation with Composable Diffusion Models Nan Liu Shuang Li Yilun Du Antonio Torralba J. Tenenbaum DiffM CoGe 135 517 0 03 Jun 2022
NICO++: Towards Better Benchmarking for Domain Generalization Xingxuan Zhang Linjun Zhou Renzhe Xu Haoxin Liu Zheyan Shen Peng Cui OOD 68 77 0 17 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 76 333 0 06 Apr 2022
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts Weixin Liang James Zou OOD 48 84 0 14 Feb 2022
Learning to Compose Visual Relations Nan Liu Shuang Li Yilun Du J. Tenenbaum Antonio Torralba CoGe OCL 56 79 0 17 Nov 2021
Unsupervised Learning of Compositional Energy Concepts Yilun Du Shuang Li Yash Sharma J. Tenenbaum Igor Mordatch CoGe OCL 57 80 0 04 Nov 2021
Simple data balancing achieves competitive worst-group-accuracy Badr Youbi Idrissi Martín Arjovsky Mohammad Pezeshki David Lopez-Paz 96 180 0 27 Oct 2021
Controllable and Compositional Generation with Latent-Space Energy-Based Models Weili Nie Arash Vahdat Anima Anandkumar 58 78 0 21 Oct 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 224 1,009 0 03 Mar 2021
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective Kartik Ahuja Jun Wang Amit Dhurandhar Karthikeyan Shanmugam Kush R. Varshney OOD 81 79 0 30 Oct 2020
The Risks of Invariant Risk Minimization Elan Rosenfeld Pradeep Ravikumar Andrej Risteski OOD 68 310 0 12 Oct 2020
COGS: A Compositional Generalization Challenge Based on Semantic Interpretation Najoung Kim Tal Linzen CoGe 46 279 0 12 Oct 2020
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 198 567 0 21 Jul 2020
Long-tail learning via logit adjustment A. Menon Sadeep Jayasumana A. S. Rawat Himanshu Jain Andreas Veit Sanjiv Kumar 109 706 0 14 Jul 2020
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 85 1,234 0 20 Nov 2019
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 172 1,213 0 21 Oct 2019
Compositional Generalization in Image Captioning Mitja Nikolaus Mostafa Abdou Matthew Lamm Rahul Aralikatte Desmond Elliott CoGe 55 49 0 10 Sep 2019
Compositionality decomposed: how do neural networks generalise? Dieuwke Hupkes Verna Dankers Mathijs Mul Elia Bruni CoGe 116 332 0 22 Aug 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 168 2,218 0 05 Jul 2019
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification Daniel Borkan Lucas Dixon Jeffrey Scott Sorensen Nithum Thain Lucy Vasserman 86 487 0 11 Mar 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.4K 94,511 0 11 Oct 2018
Learning Independent Causal Mechanisms Giambattista Parascandolo Niki Kilbertus Mateo Rojas-Carulla Bernhard Schölkopf CML OOD DRL 52 182 0 04 Dec 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 485 4,473 0 18 Apr 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.8K 193,426 0 10 Dec 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 224 8,391 0 28 Nov 2014
Causal inference using the algorithmic Markov condition Dominik Janzing Bernhard Schölkopf CML 131 306 0 23 Apr 2008