Vector-based Representation is the Key: A Study on Disentanglement and
Compositional Generalization

Vector-based Representation is the Key: A Study on Disentanglement and Compositional Generalization

29 May 2023

Papers citing "Vector-based Representation is the Key: A Study on Disentanglement and Compositional Generalization"

10 / 10 papers shown

Title
Compositional Generalization Requires More Than Disentangled Representations Qiyao Liang Daoyuan Qian Liu Ziyin Ila Fiete DRL OCL CoGe 132 0 0 30 Jan 2025
Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD Prompts Anna Mészáros Szilvia Ujváry Wieland Brendel Patrik Reizinger Ferenc Huszár 24 0 0 09 Sep 2024
Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models Baao Xie Qiuyu Chen Yunnan Wang Zequn Zhang Xin Jin Wenjun Zeng OffRL 23 2 0 26 Jul 2024
Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models Reza Abbasi M. Rohban M. Baghshah CoGe 32 5 0 08 Jul 2024
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement Tao Yang Cuiling Lan Yan Lu Nanning Zheng DiffM 17 6 0 15 Feb 2024
Closed-Loop Unsupervised Representation Disentanglement with $β$ -VAE Distillation and Diffusion Probabilistic Feedback Xin Jin Bo Li Baao Xie Wenyao Zhang Jinming Liu Ziqiang Li Tao Yang Wenjun Zeng DRL DiffM CoGe 24 7 0 04 Feb 2024
Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language Zhenlin Xu Marc Niethammer Colin Raffel CoGe OOD OCL DRL 39 38 0 02 Oct 2022
Visual Concepts Tokenization Tao Yang Yuwang Wang Yan Lu Nanning Zheng OCL ViT 29 12 0 20 May 2022
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 243 893 0 11 Nov 2017