Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve

7 February 2021

Papers citing "Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve"

37 / 37 papers shown

Title
Catch Me if You Search: When Contextual Web Search Results Affect the Detection of Hallucinations Mahjabin Nahar Eun-Ju Lee Jin Won Park Dongwon Lee HILM 130 0 0 01 Apr 2025
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling Xudong Sun Nutan Chen Alexej Gossmann Yu Xing Carla Feistner ... Felix Drost Daniele Scarcella Lisa Beer Carsten Marr Carsten Marr 72 1 0 20 Mar 2024
Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization Yabin Zhang Minghan Li Ruihuang Li Kui Jia Lei Zhang OOD 111 168 0 15 Mar 2022
Towards a Theoretical Framework of Out-of-Distribution Generalization Haotian Ye Chuanlong Xie Tianle Cai Ruichen Li Zhenguo Li Liwei Wang OODD OOD 85 111 0 08 Jun 2021
Domain Generalization with MixStyle Kaiyang Zhou Yongxin Yang Yu Qiao Tao Xiang 141 756 0 05 Apr 2021
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 76 1,144 0 02 Jul 2020
Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations Zhun Deng Frances Ding Cynthia Dwork Rachel Hong Giovanni Parmigiani Prasad Patil Pragya Sur OOD FaML 54 29 0 20 Jun 2020
Deep Domain-Adversarial Image Generation for Domain Generalisation Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang OOD 291 409 0 12 Mar 2020
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift Rémi Tachet des Combes Han Zhao Yu Wang Geoffrey J. Gordon OOD AAML VLM 68 187 0 10 Mar 2020
Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice Yabin Zhang Bin Deng Hui Tang Lei Zhang Kui Jia AI4CE 45 74 0 20 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 493 42,407 0 03 Dec 2019
Domain Generalization Using a Mixture of Multiple Latent Domains Toshihiko Matsuura Tatsuya Harada OOD 66 326 0 18 Nov 2019
Domain Generalization via Model-Agnostic Learning of Semantic Features Qi Dou Daniel Coelho De Castro Konstantinos Kamnitsas Ben Glocker OOD 105 698 0 29 Oct 2019
Bridging Theory and Algorithm for Domain Adaptation Yuchen Zhang Tianle Liu Mingsheng Long Michael I. Jordan 80 710 0 11 Apr 2019
Multi-Domain Adversarial Learning Alice Schoenauer Sebag Louise Heinrich Marc Schoenauer Michele Sebag Lani F. Wu S. Altschuler OOD 47 61 0 21 Mar 2019
Domain Generalization by Solving Jigsaw Puzzles Fabio Maria Carlucci A. DÍnnocente S. Bucci Barbara Caputo Tatiana Tommasi SSL 66 814 0 16 Mar 2019
Support and Invertibility in Domain-Invariant Representations Fredrik D. Johansson David Sontag Rajesh Ranganath 63 162 0 08 Mar 2019
Learning Robust Representations by Projecting Superficial Statistics Out Haohan Wang Zexue He Zachary Chase Lipton Eric Xing OOD 68 235 0 02 Mar 2019
Unsupervised Domain Adaptation Based on Source-guided Discrepancy Seiichi Kuroki Nontawat Charoenphakdee Han Bao Junya Honda Issei Sato Masashi Sugiyama 60 58 0 11 Sep 2018
Generalizing to Unseen Domains via Adversarial Data Augmentation Riccardo Volpi Hongseok Namkoong Ozan Sener John C. Duchi Vittorio Murino Silvio Savarese OOD 119 784 0 30 May 2018
Generalizing Across Domains via Cross-Gradient Training Shiv Shankar Vihari Piratla Soumen Chakrabarti S. Chaudhuri Preethi Jyothi Sunita Sarawagi OOD 71 515 0 28 Apr 2018
A DIRT-T Approach to Unsupervised Domain Adaptation Rui Shu Hung Bui Hirokazu Narui Stefano Ermon 75 620 0 23 Feb 2018
Detecting and Correcting for Label Shift with Black Box Predictors Zachary Chase Lipton Yu Wang Alex Smola OOD 63 553 0 12 Feb 2018
Domain Generalization by Marginal Transfer Learning Gilles Blanchard A. Deshmukh Ürün Dogan Gyemin Lee Clayton Scott OOD 87 286 0 21 Nov 2017
Learning to Generalize: Meta-Learning for Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 97 1,421 0 10 Oct 2017
Deeper, Broader and Artier Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 124 1,445 0 09 Oct 2017
PAC-Bayes and Domain Adaptation Pascal Germain Amaury Habrard Franccois Laviolette Emilie Morvant 74 24 0 17 Jul 2017
Deep Hashing Network for Unsupervised Domain Adaptation Hemanth Venkateswara José Eusébio Shayok Chakraborty S. Panchanathan OOD 141 2,041 0 22 Jun 2017
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data Gintare Karolina Dziugaite Daniel M. Roy 106 813 0 31 Mar 2017
Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks Peter L. Bartlett Nick Harvey Christopher Liaw Abbas Mehrabian 203 431 0 08 Mar 2017
Theoretical Analysis of Domain Adaptation with Optimal Transport I. Redko Amaury Habrard M. Sebban OT 60 186 0 14 Oct 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
Optimal Transport for Domain Adaptation Nicolas Courty Rémi Flamary D. Tuia A. Rakotomamonjy OT OOD 135 1,119 0 02 Jul 2015
Understanding Neural Networks Through Deep Visualization J. Yosinski Jeff Clune Anh Totti Nguyen Thomas J. Fuchs Hod Lipson FAtt AI4CE 122 1,872 0 22 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 233 6,022 0 26 Sep 2014
Domain Generalization via Invariant Feature Representation Krikamol Muandet David Balduzzi Bernhard Schölkopf OOD 127 1,179 0 10 Jan 2013