On the Value of Target Data in Transfer Learning

12 February 2020

Papers citing "On the Value of Target Data in Transfer Learning"

17 / 17 papers shown

Title
On The Statistical Complexity of Offline Decision-Making Thanh Nguyen-Tang R. Arora OffRL 43 1 0 10 Jan 2025
Transfer Learning for Latent Variable Network Models Akhil Jalan Arya Mazumdar Soumendu Sundar Mukherjee Purnamrita Sarkar 38 1 0 05 Jun 2024
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation Haibo Yang Pei-Yuan Qiu Prashant Khanduri Minghong Fang Jia Liu FedML 40 1 0 04 May 2024
Transfer Learning Study of Motion Transformer-based Trajectory Predictions Lars Ullrich Alex McMaster Knut Graichen 40 3 0 12 Apr 2024
Classification Tree Pruning Under Covariate Shift Nicholas Galbraith Samory Kpotufe 30 1 0 07 May 2023
Limits of Model Selection under Transfer Learning Steve Hanneke Samory Kpotufe Yasaman Mahdaviyeh 31 6 0 29 Apr 2023
Reliable learning in challenging environments Maria-Florina Balcan Steve Hanneke Rattana Pukdee Dravyansh Sharma OOD 30 4 0 06 Apr 2023
Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift Kaizheng Wang 32 10 0 20 Feb 2023
Transfer Learning for Contextual Multi-armed Bandits Changxiao Cai T. Tony Cai Hongzhe Li 39 16 0 22 Nov 2022
The Value of Out-of-Distribution Data Ashwin De Silva Rahul Ramesh Carey E. Priebe Pratik Chaudhari Joshua T. Vogelstein OODD 19 11 0 23 Aug 2022
Connecting sufficient conditions for domain adaptation: source-guided uncertainty, relaxed divergences and discrepancy localization Sofien Dhouib S. Maghsudi 33 2 0 09 Mar 2022
Direct domain adaptation through reciprocal linear transformations T. Alkhalifah O. Ovcharenko OOD 40 5 0 17 Aug 2021
Trustworthy Convolutional Neural Networks: A Gradient Penalized-based Approach Nicholas F Halliwell Freddy Lecue FAtt 17 9 0 29 Sep 2020
$Beyond $\mathcal{H}$-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence$ Beyond $\mathcal{H}$ -Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence Changjian Shui Qi Chen Jun Wen Fan Zhou Christian Gagné Boyu Wang 38 22 0 30 Jul 2020
A No-Free-Lunch Theorem for MultiTask Learning Steve Hanneke Samory Kpotufe 18 39 0 29 Jun 2020
New Analysis and Algorithm for Learning with Drifting Distributions M. Mohri Andrés Munoz Medina 97 123 0 19 May 2012
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 789 0 19 Feb 2009