Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation

9 October 2020

Bo-wen Li

Yezhen Wang

Shanghang Zhang

Dongsheng Li

Papers citing "Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation"

23 / 23 papers shown

Title
Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous Vehicles Younggun Kim Beomsik Cho Seonghoon Ryoo Soomok Lee 3DPC 99 0 0 27 Jan 2025
Causal Understanding For Video Question Answering Bhanu Prakash Reddy Guda Tanmay Kulkarni Adithya Sampath Swarnashree Mysore Sathyendra CML 54 0 0 23 Jul 2024
Gradual Domain Adaptation: Theory and Algorithms Yifei He Haoxiang Wang Bo Li Han Zhao CLL 52 5 0 20 Oct 2023
unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic Features Sebastian Doerrich Francesco Di Salvo C. Ledig 32 3 0 29 Aug 2023
Universal Semi-supervised Model Adaptation via Collaborative Consistency Training Zizheng Yan Yushuang Wu Yipeng Qin Xiaoguang Han Shuguang Cui Guanbin Li 39 1 0 07 Jul 2023
IDEA: Invariant Defense for Graph Adversarial Robustness Shuchang Tao Qi Cao Huawei Shen Yunfan Wu Bingbing Xu Xueqi Cheng AAML OOD 32 6 0 25 May 2023
Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey Avijoy Chakma A. Faridee Indrajeet Ghosh Nirmalya Roy 35 4 0 07 Apr 2023
CAusal and collaborative proxy-tasKs lEarning for Semi-Supervised Domain Adaptation Wenqiao Zhang Changshuo Liu Can Cui Beng Chin Ooi CML 27 0 0 30 Mar 2023
Convolutional Visual Prompt for Robust Visual Perception Yun-Yun Tsai Chengzhi Mao Junfeng Yang VLM VPVLM 31 13 0 01 Mar 2023
Heterogeneous Domain Adaptation and Equipment Matching: DANN-based Alignment with Cyclic Supervision (DBACS) Natalie Gentner Gian Antonio Susto 11 1 0 03 Jan 2023
Semi-Supervised Domain Adaptation by Similarity based Pseudo-label Injection Abhay Rawat Isha Dua Saurav Gupta Rahul Tallamraju 15 1 0 05 Sep 2022
MentorGNN: Deriving Curriculum for Pre-Training GNNs Dawei Zhou Lecheng Zheng Dongqi Fu Jiawei Han Jingrui He 33 22 0 21 Aug 2022
Domain Decorrelation with Potential Energy Ranking Sen Pei Jiaxi Sun Richard Yi Da Xu Shiming Xiang Gaofeng Meng OOD 24 4 0 25 Jul 2022
Evolving Domain Generalization Wei Wang Gezheng Xu Ruizhi Pu Jiaqi Li Fan Zhou Changjian Shui Charles Ling Christian Gagné Boyu Wang OOD 29 3 0 31 May 2022
Test-time Batch Normalization Tao Yang Shenglong Zhou Yuwang Wang Yan Lu Nanning Zheng OOD 54 9 0 20 May 2022
Learning Distinctive Margin toward Active Domain Adaptation Ming-Kun Xie Yuxi Li Yabiao Wang Zekun Luo Zhenye Gan Zhongyi Sun M. Chi Chengjie Wang Pei Wang 23 31 0 11 Mar 2022
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization Alexandre Ramé Corentin Dancette Matthieu Cord OOD 38 204 0 07 Sep 2021
Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer Xiaodong Wang Junbao Zhuo Shuhao Cui Shuhui Wang 19 6 0 07 Jul 2021
Invariant Information Bottleneck for Domain Generalization Bo-wen Li Yifei Shen Yezhen Wang Wenzhen Zhu Colorado Reed Jun Zhang Dongsheng Li Kurt Keutzer Han Zhao OOD 32 105 0 11 Jun 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 75 980 0 03 Mar 2021
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 179 201 0 22 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017