Title
Can Models Learn Skill Composition from Examples? Haoyu Zhao Simran Kaur Dingli Yu Anirudh Goyal Sanjeev Arora CoGe MoE 58 2 0 29 Sep 2024
When does compositional structure yield compositional generalization? A kernel theory Samuel Lippl Kim Stachenfeld NAI CoGe 73 5 0 26 May 2024
Text Attribute Control via Closed-Loop Disentanglement Lei Sha Thomas Lukasiewicz DRL 30 2 0 01 Dec 2023
Vector-based Representation is the Key: A Study on Disentanglement and Compositional Generalization Tao Yang Yuwang Wang Cuiling Lan Yan Lu Nanning Zheng OCL CoGe DRL 24 7 0 29 May 2023
Taking A Closer Look at Visual Relation: Unbiased Video Scene Graph Generation with Decoupled Label Learning Wenqing Wang Yawei Luo Zhiqin Chen Tao Jiang Lei Chen Yi Yang Jun Xiao 35 7 0 23 Mar 2023
eVAE: Evolutionary Variational Autoencoder Zhangkai Wu LongBing Cao Lei Qi BDL DRL 27 10 0 01 Jan 2023
LADIS: Language Disentanglement for 3D Shape Editing Ian Huang Panos Achlioptas Tianyi Zhang Sergey Tulyakov Minhyuk Sung Leonidas J. Guibas 20 10 0 09 Dec 2022
Disentangling representations in Restricted Boltzmann Machines without adversaries Jorge Fernandez-de-Cossio-Diaz Simona Cocco R. Monasson DRL 29 13 0 23 Jun 2022
Leveraging Relational Information for Learning Weakly Disentangled Representations Andrea Valenti D. Bacciu CoGe DRL 27 5 0 20 May 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning Natalie Dullerud Karsten Roth Kimia Hamidieh Nicolas Papernot Marzyeh Ghassemi 24 15 0 23 Mar 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 24 44 0 17 Mar 2022
Interpretable Molecular Graph Generation via Monotonic Constraints Yuanqi Du Xiaojie Guo Amarda Shehu Liang Zhao 60 19 0 28 Feb 2022
Towards Disentangling Information Paths with Coded ResNeXt Apostolos Avranas Marios Kountouris FAtt 17 1 0 10 Feb 2022
Deep Dive into Semi-Supervised ELBO for Improving Classification Performance Fahim Faisal Niloy M. A. Amin Akm Mahbubur Rahman A. Ali DRL 19 0 0 29 Aug 2021
Symmetric Wasserstein Autoencoders S. Sun Hong Guo DiffM GAN 24 0 0 24 Jun 2021
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement Xiaojie Guo Liang Zhao Zhao Qin Lingfei Wu Amarda Shehu Yanfang Ye CoGe DRL 32 46 0 09 Jun 2020
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation Yizhe Zhu Martin Renqiang Min Asim Kadav H. Graf CoGe DRL 19 95 0 23 May 2020
Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders Andrea Asperti Matteo Trentin DRL 19 94 0 18 Feb 2020
An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection Rujikorn Charakorn Y. Thawornwattana Sirawaj Itthipuripat Nick Pawlowski P. Manoonpong Nat Dilokthanakul DRL OCL 19 13 0 24 Jan 2020
Rate-Regularization and Generalization in VAEs Alican Bozkurt Babak Esmaeili Jean-Baptiste Tristan Dana H. Brooks Jennifer G. Dy Jan Willem van de Meent DRL 17 7 0 11 Nov 2019
Weakly Supervised Disentanglement with Guarantees Rui Shu Yining Chen Abhishek Kumar Stefano Ermon Ben Poole CoGe DRL 17 136 0 22 Oct 2019
A Spectral Regularizer for Unsupervised Disentanglement Aditya A. Ramesh Youngduck Choi Yann LeCun DRL 13 42 0 04 Dec 2018
Interpretable Neuron Structuring with Graph Spectral Regularization Alexander Tong David van Dijk Jay S. Stanley Matthew Amodio Kristina M. Yim R. Muhle J. Noonan Guy Wolf Smita Krishnaswamy 19 6 0 30 Sep 2018
Hyperprior Induced Unsupervised Disentanglement of Latent Representations Abdul Fatir Ansari Harold Soh CoGe CML UD DRL 16 31 0 12 Sep 2018
SOM-VAE: Interpretable Discrete Representation Learning on Time Series Vincent Fortuin Matthias Huser Francesco Locatello Heiko Strathmann Gunnar Rätsch BDL AI4TS 24 140 0 06 Jun 2018