f-Domain-Adversarial Learning: Theory and Algorithms

f-Domain-Adversarial Learning: Theory and Algorithms

21 June 2021

Sanja Fidler

Papers citing "f-Domain-Adversarial Learning: Theory and Algorithms"

18 / 18 papers shown

Title
Stein Discrepancy for Unsupervised Domain Adaptation Anneke von Seeger Dongmian Zou Gilad Lerman 92 0 0 24 Feb 2025
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift A. Nguyen Lam C. Tran Anh Tong Tuan-Duy H. Nguyen Toan M. Tran 42 1 0 31 Dec 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? Weijie Tu Weijian Deng Liang Zheng Tom Gedeon 40 0 0 14 Jun 2024
Domain Adaptation with Cauchy-Schwarz Divergence Wenzhe Yin Shujian Yu Yicong Lin Jie Li J. Sonke E. Gavves 29 3 0 30 May 2024
Mathematical Challenges in Deep Learning V. Nia Guojun Zhang I. Kobyzev Michael R. Metel Xinlin Li ... S. Hemati M. Asgharian Linglong Kong Wulong Liu Boxing Chen AI4CE VLM 37 1 0 24 Mar 2023
A Bag-of-Prototypes Representation for Dataset-Level Applications Wei-Chih Tu Weijian Deng Tom Gedeon Liang Zheng 38 9 0 23 Mar 2023
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks Adam Breitholtz Fredrik D. Johansson OOD 21 1 0 15 Mar 2023
Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks Anqi Zhao Tong Chu Yahao Liu Wen Li Jingjing Li Lixin Duan AAML 26 16 0 18 Dec 2022
GAN Inversion for Image Editing via Unsupervised Domain Adaptation Siyu Xing Chen Gong Hewei Guo Xiaoyi Zhang Xinwen Hou Yu Liu 32 6 0 22 Nov 2022
Information-Theoretic Analysis of Unsupervised Domain Adaptation Ziqiao Wang Yongyi Mao 38 11 0 03 Oct 2022
A Closer Look at Smoothness in Domain Adversarial Training Harsh Rangwani Sumukh K Aithal Mayank Mishra Arihant Jain R. Venkatesh Babu 27 119 0 16 Jun 2022
Connecting sufficient conditions for domain adaptation: source-guided uncertainty, relaxed divergences and discrepancy localization Sofien Dhouib S. Maghsudi 28 2 0 09 Mar 2022
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization Xiaojun Xu Jacky Y. Zhang Evelyn Ma Danny Son Oluwasanmi Koyejo Bo-wen Li 20 10 0 03 Feb 2022
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective? Hiroaki Mikami Kenji Fukumizu Shogo Murai Shuji Suzuki Yuta Kikuchi Taiji Suzuki S. Maeda Kohei Hayashi 40 12 0 25 Aug 2021
KL Guided Domain Adaptation A. Nguyen Toan M. Tran Y. Gal Philip H. S. Torr A. G. Baydin OOD 33 38 0 14 Jun 2021
Low Budget Active Learning via Wasserstein Distance: An Integer Programming Approach Rafid Mahmood Sanja Fidler M. Law 14 37 0 05 Jun 2021
Self-Supervised Real-to-Sim Scene Generation Aayush Prakash Shoubhik Debnath Jean-Francois Lafleche Eric Cameracci Gavriel State Stan Birchfield M. Law 35 26 0 30 Nov 2020
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 789 0 19 Feb 2009