Compositional Generalization from First Principles

10 July 2023

Thaddäus Wiedemer

Prasanna Mayilvahanan

Matthias Bethge

Wieland Brendel

OCL

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Papers citing "Compositional Generalization from First Principles"

29 / 29 papers shown

Title
Synthetic Data is an Elegant GIFT for Continual Vision-Language Models Bin Wu Wuxuan Shi Jinqiao Wang Mang Ye CLL VLM 40 0 0 06 Mar 2025
CoInD: Enabling Logical Compositions in Diffusion Models Sachit Gaudi Gautam Sreekumar Vishnu Naresh Boddeti CoGe 68 0 0 03 Mar 2025
A Communication Framework for Compositional Generation Rafael Elberg Mircea Petrache Denis Parra 88 0 0 17 Feb 2025
Compositional Generalization Requires More Than Disentangled Representations Qiyao Liang Daoyuan Qian Liu Ziyin Ila Fiete DRL OCL CoGe 132 0 0 30 Jan 2025
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models Xintong Duan Yutong He Fahim Tajwar Wen-Tse Chen Ruslan Salakhutdinov Jeff Schneider OffRL AI4CE 89 0 0 22 Jan 2025
Towards Understanding Extrapolation: a Causal Lens Lingjing Kong Guangyi Chen P. Stojanov H. Li Eric P. Xing Kun Zhang 56 2 0 17 Jan 2025
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory Andrea Perin Stéphane Deny 88 1 0 16 Dec 2024
Analyzing Generative Models by Manifold Entropic Metrics Daniel Galperin Ullrich Köthe DRL 11 0 0 25 Oct 2024
A Complexity-Based Theory of Compositionality Eric Elmoznino Thomas Jiralerspong Yoshua Bengio Guillaume Lajoie CoGe 56 3 0 18 Oct 2024
Compositional Risk Minimization Divyat Mahajan Mohammad Pezeshki Ioannis Mitliagkas Kartik Ahuja Pascal Vincent Pascal Vincent 23 3 0 08 Oct 2024
How Diffusion Models Learn to Factorize and Compose Qiyao Liang Ziming Liu Mitchell Ostrow Ila Fiete DiffM CoGe 25 8 0 23 Aug 2024
Unsupervised Composable Representations for Audio Giovanni Bindi P. Esling DiffM OCL CoGe 21 0 0 19 Aug 2024
Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models Reza Abbasi M. Rohban M. Baghshah CoGe 35 5 0 08 Jul 2024
Compositional Models for Estimating Causal Effects Purva Pruthi David D. Jensen CML 60 0 0 25 Jun 2024
When does compositional structure yield compositional generalization? A kernel theory Samuel Lippl Kim Stachenfeld NAI CoGe 58 5 0 26 May 2024
A General Theory for Compositional Generalization Jingwen Fu Zhizheng Zhang Yan Lu Nanning Zheng AI4CE CoGe 24 2 0 20 May 2024
What makes Models Compositional? A Theoretical View: With Supplement Parikshit Ram Tim Klinger Alexander G. Gray CoGe 26 6 0 02 May 2024
Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning Yeda Song Dongwook Lee Gunhee Kim OffRL 25 0 0 06 Apr 2024
Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation Yingshan Chang Yasi Zhang Zhiyuan Fang Yingnian Wu Yonatan Bisk Feng Gao EGVM 26 4 0 25 Mar 2024
On Provable Length and Compositional Generalization Kartik Ahuja Amin Mansouri OODD 20 7 0 07 Feb 2024
Compositional Generative Modeling: A Single Model is Not All You Need Yilun Du L. Kaelbling PINN GAN 44 19 0 02 Feb 2024
Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of View Raj Ghugare Matthieu Geist Glen Berseth Benjamin Eysenbach OffRL 25 14 0 20 Jan 2024
Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder Niklas Smedemark-Margulies Yunus Bicer Elifnur Sunger Tales Imbiriba E. Tunik Deniz Erdogmus M. Yarossi Robin G. Walters 26 0 0 30 Oct 2023
Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity? Prasanna Mayilvahanan Thaddäus Wiedemer E. Rusak Matthias Bethge Wieland Brendel OODD 27 12 0 14 Oct 2023
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task Maya Okawa Ekdeep Singh Lubana Robert P. Dick Hidenori Tanaka CoGe DiffM 35 43 0 13 Oct 2023
Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models Vishaal Udandarao Max F. Burg Samuel Albanie Matthias Bethge VLM 24 6 0 12 Oct 2023
Provable Compositional Generalization for Object-Centric Learning Thaddäus Wiedemer Jack Brady Alexander Panfilov Attila Juhos Matthias Bethge Wieland Brendel OCL 21 17 0 09 Oct 2023
Learning to Extrapolate: A Transductive Approach Aviv Netanyahu Abhishek Gupta Max Simchowitz K. Zhang Pulkit Agrawal 35 15 0 27 Apr 2023
Contrastive Learning Inverts the Data Generating Process Roland S. Zimmermann Yash Sharma Steffen Schneider Matthias Bethge Wieland Brendel SSL 236 206 0 17 Feb 2021