v1v2v3v4 (latest)

Hypothesis Transfer Learning via Transformation Functions

3 December 2016

Aarti Singh

Papers citing "Hypothesis Transfer Learning via Transformation Functions"

36 / 36 papers shown

Title
Towards Understanding the Benefit of Multitask Representation Learning in Decision Process Rui Lu Yang Yue Andrew Zhao S. Du Gao Huang OffRL 101 1 0 01 Mar 2025
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression Zelin He Ying Sun Jingyuan Liu Runze Li OOD 89 9 0 01 Apr 2024
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness Yingtian Zou Kenji Kawaguchi Yingnan Liu Jiashuo Liu Mong Li Lee Wynne Hsu 81 7 0 11 Mar 2024
Smoothness Adaptive Hypothesis Transfer Learning Haotian Lin M. Reimherr 73 8 0 22 Feb 2024
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation Ruijiang Dong Feng Liu Haoang Chi Tongliang Liu Biwei Huang Gang Niu Masashi Sugiyama Bo Han 71 5 0 12 Jul 2023
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability Anass Aghbalou Guillaume Staerman 77 6 0 31 May 2023
Best-Effort Adaptation Pranjal Awasthi Corinna Cortes M. Mohri 91 8 0 10 May 2023
Source-free Domain Adaptation Requires Penalized Diversity Laya Rafiee Sevyeri Ivaxi Sheth Farhood Farahnak Alexandre See Samira Ebrahimi Kahou T. Fevens Mohammad Havaei TTA 51 0 0 06 Apr 2023
A Prototype-Oriented Clustering for Domain Shift with Source Privacy Korawat Tanwisuth Shujian Zhang Pengcheng He Mingyuan Zhou 77 3 0 08 Feb 2023
Hypothesis Transfer in Bandits by Weighted Models Steven Bilaj Sofien Dhouib S. Maghsudi 64 2 0 14 Nov 2022
Transfer learning with affine model transformation Shunya Minami Kenji Fukumizu Yoshihiro Hayashi Ryo Yoshida 69 1 0 18 Oct 2022
On Hypothesis Transfer Learning of Functional Linear Models Haotian Lin M. Reimherr 71 5 0 09 Jun 2022
Provable General Function Class Representation Learning in Multitask Bandits and MDPs Rui Lu Andrew Zhao S. Du Gao Huang OffRL 104 10 0 31 May 2022
Generalized Knowledge Distillation via Relationship Matching Han-Jia Ye Su Lu De-Chuan Zhan FedML 75 21 0 04 May 2022
ISTRBoost: Importance Sampling Transfer Regression using Boosting Shrey Gupta Jianzhao Bi Yang Liu Avani Wildani 34 0 0 26 Apr 2022
Deep transfer operator learning for partial differential equations under conditional shift S. Goswami Katiana Kontolati Michael D. Shields George Karniadakis 101 109 0 20 Apr 2022
Knowledge Distillation with the Reused Teacher Classifier Defang Chen Jianhan Mei Hailin Zhang C. Wang Yan Feng Chun-Yen Chen 96 172 0 26 Mar 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 90 12 0 25 Aug 2021
On the Power of Multitask Representation Learning in Linear MDP Rui Lu Gao Huang S. Du 83 29 0 15 Jun 2021
On Inductive Biases for Heterogeneous Treatment Effect Estimation Alicia Curth M. Schaar CML 193 84 0 07 Jun 2021
Representation Learning Beyond Linear Prediction Functions Ziping Xu Ambuj Tewari 59 21 0 31 May 2021
Hypothesis Disparity Regularized Mutual Information Maximization Qicheng Lao Xiang Jiang Mohammad Havaei 69 24 0 15 Dec 2020
Scalable Transfer Learning with Expert Models J. Puigcerver C. Riquelme Basil Mustafa Cédric Renggli André Susano Pinto Sylvain Gelly Daniel Keysers N. Houlsby 138 65 0 28 Sep 2020
AlphaNet: Improving Long-Tail Classification By Combining Classifiers Nadine Chang Jayanth Koushik Aarti Singh M. Hebert Yu-Xiong Wang Michael J. Tarr 61 0 0 17 Aug 2020
On Localized Discrepancy for Domain Adaptation Yuchen Zhang Mingsheng Long Jianmin Wang Michael I. Jordan 73 18 0 14 Aug 2020
Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning Yiqin Yu Xu Min Shiwan Zhao Jing Mei Fei Wang Dongsheng Li Kenney Ng Shaochun Li 57 2 0 24 Jul 2020
Camera On-boarding for Person Re-identification using Hypothesis Transfer Learning Sk. Miraj Ahmed Aske R. Lejbølle Yikang Shen Amit K. Roy-Chowdhury 79 26 0 22 Jul 2020
A survey on domain adaptation theory: learning bounds and theoretical guarantees I. Redko Emilie Morvant Amaury Habrard M. Sebban Younès Bennani OOD 182 135 0 24 Apr 2020
On the Value of Target Data in Transfer Learning Steve Hanneke Samory Kpotufe 83 74 0 12 Feb 2020
Model Reuse with Reduced Kernel Mean Embedding Specification Xi-Zhu Wu Wen-qi Xu Song Liu Zhi Zhou 150 25 0 20 Jan 2020
Transfer Learning for Algorithm Recommendation G. Pereira M. Santos Edesio Alcobaça R. G. Mantovani A. Carvalho 38 2 0 15 Oct 2019
Theoretical Guarantees of Transfer Learning Zirui Wang MLT 53 14 0 14 Oct 2018
Handling Concept Drift via Model Reuse Peng Zhao Le-Wen Cai Zhi Zhou 56 56 0 08 Sep 2018
Nonparametric Density Estimation under Adversarial Losses Shashank Singh Ananya Uppal Boyue Li Chun-Liang Li Manzil Zaheer Barnabás Póczós GAN 93 57 0 22 May 2018
Minimax Estimation of Quadratic Fourier Functionals Shashank Singh Bharath K. Sriperumbudur Barnabás Póczós 106 5 0 30 Mar 2018
Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition: A Problem-Oriented Perspective Jing Zhang Wanqing Li P. Ogunbona Dong Xu OOD 83 46 0 11 May 2017