Self-Supervised Learning Disentangled Group Representation as Feature

28 October 2021

Hanwang Zhang

Papers citing "Self-Supervised Learning Disentangled Group Representation as Feature"

46 / 46 papers shown

Title
Contrastive representations of high-dimensional, structured treatments Oriol Corcoll Andreu Athanasios Vlontzos Michael O'Riordan Ciarán M. Gilligan-Lee CML 61 1 0 28 Nov 2024
Latent Space Disentanglement in Diffusion Transformers Enables Precise Zero-shot Semantic Editing Zitao Shuai Chenwei Wu Zhengxu Tang Bowen Song Liyue Shen DiffM 47 0 0 12 Nov 2024
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense Jeremy A. Styborski Mingzhi Lyu Y. Huang Adams Kong 22 0 0 13 Sep 2024
Latent Space Disentanglement in Diffusion Transformers Enables Zero-shot Fine-grained Semantic Editing Zitao Shuai Chenwei Wu Zhengxu Tang Bowen Song Liyue Shen 20 0 0 23 Aug 2024
Defining and Measuring Disentanglement for non-Independent Factors of Variation Antonio Almudévar Alfonso Ortega Luis Vicente A. Miguel Eduardo Lleida CoGe DRL 26 0 0 13 Aug 2024
Disentangling Masked Autoencoders for Unsupervised Domain Generalization An Zhang Han Wang Xiang Wang Tat-Seng Chua 29 0 0 10 Jul 2024
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation Kimia Hamidieh Haoran Zhang Swami Sankaranarayanan Marzyeh Ghassemi 25 0 0 28 May 2024
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification Eva Pachetti Sotirios A. Tsaftaris Sara Colantonio 22 0 0 26 Mar 2024
LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content QiHao Zhao Yalun Dai Hao Li Wei Hu Fan Zhang Jun Liu 19 15 0 09 Mar 2024
Exploring Diffusion Time-steps for Unsupervised Representation Learning Zhongqi Yue Jiankun Wang Qianru Sun Lei Ji E. Chang Hanwang Zhang DiffM 26 20 0 21 Jan 2024
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration Xilong Zhao Siyuan Bian Yaoyun Zhang Yuliang Zhang Qinying Gu Xinbing Wang Cheng Zhou Nanyang Ye 13 0 0 18 Dec 2023
Invariant Feature Regularization for Fair Face Recognition Jiali Ma Zhongqi Yue Tomoyuki Kagaya Tomoki Suzuki J. Karlekar Sugiri Pranata Hanwang Zhang 8 10 0 23 Oct 2023
Algebras of actions in an agent's representations of the world Alexander Dean Eduardo Alonso Esther Mondragón 15 0 0 02 Oct 2023
Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation Zhongqi Yue Hanwang Zhang Qianru Sun OOD 13 16 0 22 Sep 2023
Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation Yu Min Aming Wu Cheng Deng 11 6 0 07 Aug 2023
Compositionally Equivariant Representation Learning Xiao Liu Pedro Sanchez Spyridon Thermos Alison Q. OÑeil Sotirios A. Tsaftaris CoGe OOD 6 2 0 13 Jun 2023
Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation Ilana D Naiman Nimrod Berman Omri Azencot DRL 8 6 0 25 May 2023
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization Yunze Tong Junkun Yuan Min Zhang Di-hua Zhu Keli Zhang Fei Wu Kun Kuang 12 7 0 25 May 2023
Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment Peng Jin Hao Li Ze-Long Cheng Jinfa Huang Zhennan Wang Li-ming Yuan Chang-rui Liu Jie Chen 15 31 0 20 May 2023
A Category-theoretical Meta-analysis of Definitions of Disentanglement Yivan Zhang Masashi Sugiyama 25 3 0 11 May 2023
Learning Geometry-aware Representations by Sketching Hyun-Dong Lee Inwoo Hwang Hyun-Young Go Won-Seok Choi Kibeom Kim Byoung-Tak Zhang SSL 11 3 0 17 Apr 2023
Equivariant Similarity for Vision-Language Foundation Models Tan Wang Kevin Qinghong Lin Linjie Li Chung-Ching Lin Zhengyuan Yang Hanwang Zhang Zicheng Liu Lijuan Wang CoGe 27 44 0 25 Mar 2023
Distortion-Disentangled Contrastive Learning Jinfeng Wang Sifan Song Jionglong Su S. Kevin Zhou SSL 41 4 0 09 Mar 2023
ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations Xuyang Zhao Tianqi Du Yisen Wang Jun Yao Weiran Huang 15 13 0 02 Mar 2023
3D Generative Model Latent Disentanglement via Local Eigenprojection Simone Foti Bongjin Koo Danail Stoyanov Matthew J. Clarkson 26 6 0 24 Feb 2023
Simple Disentanglement of Style and Content in Visual Representations Lilian Ngweta Subha Maity Alex Gittens Yuekai Sun Mikhail Yurochkin CoGe DRL 8 6 0 20 Feb 2023
Disentangled Representation Learning Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 10 77 0 21 Nov 2022
Conditional Generative Models for Simulation of EMG During Naturalistic Movements Shihan Ma A. Clarke Kostiantyn Maksymenko Samuel Deslauriers-Gauthier X. Sheng Xiangyang Zhu D. Farina 4 4 0 03 Nov 2022
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis Chang-Tien Lu OOD BDL CML MedIm 11 0 0 28 Oct 2022
Respecting Transfer Gap in Knowledge Distillation Yulei Niu Long Chen Chan Zhou Hanwang Zhang 11 23 0 23 Oct 2022
Commutativity and Disentanglement from the Manifold Perspective Frank Qiu CoGe 10 0 0 14 Oct 2022
Invariance-adapted decomposition and Lasso-type contrastive learning Masanori Koyama Takeru Miyato Kenji Fukumizu 6 1 0 13 Oct 2022
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization Jiaxin Qi Kaihua Tang Qianru Sun Xiansheng Hua Hanwang Zhang 9 12 0 06 Aug 2022
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift Yivan Zhang Jindong Wang Xingxu Xie Masashi Sugiyama OOD 23 1 0 03 Aug 2022
Identifying Hard Noise in Long-Tailed Sample Distribution Xuanyu Yi Kaihua Tang Xiansheng Hua J. Lim Hanwang Zhang 4 20 0 27 Jul 2022
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data Tan Wang Qianru Sun Sugiri Pranata J. Karlekar Hanwang Zhang SSL 13 19 0 25 Jul 2022
Discover and Mitigate Unknown Biases with Debiasing Alternate Networks Zhiheng Li A. Hoogs Chenliang Xu 17 49 0 20 Jul 2022
Invariant Feature Learning for Generalized Long-Tailed Classification Kaihua Tang Mingyuan Tao Jiaxin Qi Zhenguang Liu Hanwang Zhang VLM 13 52 0 19 Jul 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 10 44 0 17 Mar 2022
Identifiability of Label Noise Transition Matrix Yang Liu Hao Cheng Kun Zhang NoLa 14 31 0 04 Feb 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 89 170 0 30 Jan 2022
Learning Disentangled Representations in the Imaging Domain Xiao Liu Pedro Sanchez Spyridon Thermos Alison Q. OÑeil Sotirios A. Tsaftaris OOD DRL 8 71 0 26 Aug 2021
Counterfactual Zero-Shot and Open-Set Visual Recognition Zhongqi Yue Tan Wang Hanwang Zhang Qianru Sun Xiansheng Hua BDL 139 189 0 01 Mar 2021
Understanding self-supervised Learning Dynamics without Contrastive Pairs Yuandong Tian Xinlei Chen Surya Ganguli SSL 130 258 0 12 Feb 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 229 3,029 0 09 Mar 2020
Learning to Decompose and Disentangle Representations for Video Prediction Jun-Ting Hsieh Bingbin Liu De-An Huang Li Fei-Fei Juan Carlos Niebles DRL 113 302 0 11 Jun 2018