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Deep Transfer Learning: Model Framework and Error Analysis

12 October 2024

Papers citing "Deep Transfer Learning: Model Framework and Error Analysis"

46 / 46 papers shown

Title
Transfer Learning through Enhanced Sufficient Representation: Enriching Source Domain Knowledge with Target Data Yeheng Ge Xueyu Zhou Jian Huang 84 0 0 22 Feb 2025
Transfer Learning for Nonparametric Regression: Non-asymptotic Minimax Analysis and Adaptive Procedure T. T. Cai Hongming Pu 53 21 0 22 Jan 2024
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms Keru Wu Yuansi Chen Wooseok Ha Ting Yu CML 83 2 0 19 Sep 2023
Deep Neural Networks for Nonparametric Interaction Models with Diverging Dimension Sohom Bhattacharya Jianqing Fan Debarghya Mukherjee 96 8 0 12 Feb 2023
Cross-Modal Adapter for Text-Video Retrieval Haojun Jiang Jianke Zhang Rui Huang Chunjiang Ge Zanlin Ni Jiwen Lu Jie Zhou S. Song Gao Huang 136 38 0 17 Nov 2022
Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High Dimensional Regression Jianqing Fan Yihong Gu 93 23 0 05 Oct 2022
Improving Multi-Task Generalization via Regularizing Spurious Correlation Ziniu Hu Zhe Zhao Xinyang Yi Tiansheng Yao Lichan Hong Yizhou Sun Ed H. Chi OOD LRM 144 30 0 19 May 2022
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning Haokun Liu Derek Tam Mohammed Muqeeth Jay Mohta Tenghao Huang Joey Tianyi Zhou Colin Raffel 115 941 0 11 May 2022
Local convergence rates of the nonparametric least squares estimator with applications to transfer learning Johannes Schmidt-Hieber Petr Zamolodtchikov 70 6 0 11 Apr 2022
Approximation bounds for norm constrained neural networks with applications to regression and GANs Yuling Jiao Yang Wang Yunfei Yang 85 20 0 24 Jan 2022
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources Trung-Nghia Phung Trung Le L. Vuong Toan M. Tran Anh Tran Hung Bui Dinh Q. Phung OOD AI4CE 78 19 0 27 Nov 2021
CLIP-Adapter: Better Vision-Language Models with Feature Adapters Peng Gao Shijie Geng Renrui Zhang Teli Ma Rongyao Fang Yongfeng Zhang Hongsheng Li Yu Qiao VLM CLIP 350 1,062 0 09 Oct 2021
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning Runxin Xu Fuli Luo Zhiyuan Zhang Chuanqi Tan Baobao Chang Songfang Huang Fei Huang LRM 201 190 0 13 Sep 2021
Weighted Training for Cross-Task Learning Shuxiao Chen K. Crammer Han He Dan Roth Weijie J. Su 83 28 0 28 May 2021
Deep Nonparametric Regression on Approximate Manifolds: Non-Asymptotic Error Bounds with Polynomial Prefactors Yuling Jiao Guohao Shen Yuanyuan Lin Jian Huang 123 52 0 14 Apr 2021
A Brief Review of Domain Adaptation Abolfazl Farahani Sahar Voghoei Khaled Rasheed H. Arabnia OOD 81 550 0 07 Oct 2020
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 139 1,159 0 02 Jul 2020
On the Theory of Transfer Learning: The Importance of Task Diversity Nilesh Tripuraneni Michael I. Jordan Chi Jin 140 221 0 20 Jun 2020
Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality Sai Li T. Tony Cai Hongzhe Li 120 165 0 18 Jun 2020
Deep Dimension Reduction for Supervised Representation Learning Jian Huang Yuling Jiao Xu Liao Jin Liu Zhou Yu DRL 46 16 0 10 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 1.1K 42,651 0 28 May 2020
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition Vihari Piratla Praneeth Netrapalli Sunita Sarawagi OOD 82 219 0 28 Mar 2020
Loss landscapes and optimization in over-parameterized non-linear systems and neural networks Chaoyue Liu Libin Zhu M. Belkin ODL 101 266 0 29 Feb 2020
Provable Meta-Learning of Linear Representations Nilesh Tripuraneni Chi Jin Michael I. Jordan OOD 158 192 0 26 Feb 2020
A Sample Complexity Separation between Non-Convex and Convex Meta-Learning Nikunj Saunshi Yi Zhang M. Khodak Sanjeev Arora 56 27 0 25 Feb 2020
Few-Shot Learning via Learning the Representation, Provably S. Du Wei Hu Sham Kakade Jason D. Lee Qi Lei SSL 97 262 0 21 Feb 2020
A Comprehensive Survey on Transfer Learning Fuzhen Zhuang Zhiyuan Qi Keyu Duan Dongbo Xi Yongchun Zhu Hengshu Zhu Hui Xiong Qing He 192 4,501 0 07 Nov 2019
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models Cheolhyoung Lee Kyunghyun Cho Wanmo Kang MoE 291 209 0 25 Sep 2019
Nonparametric Regression on Low-Dimensional Manifolds using Deep ReLU Networks : Function Approximation and Statistical Recovery Minshuo Chen Haoming Jiang Wenjing Liao T. Zhao 157 92 0 05 Aug 2019
Deep ReLU network approximation of functions on a manifold Johannes Schmidt-Hieber 108 95 0 02 Aug 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 266 2,249 0 05 Jul 2019
Transfer Learning for Nonparametric Classification: Minimax Rate and Adaptive Classifier AI T.TONYC EI Hongjiw 77 98 0 07 Jun 2019
Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Scott Standley Amir Zamir Dawn Chen Leonidas Guibas Jitendra Malik Silvio Savarese 145 519 0 18 May 2019
Bridging Theory and Algorithm for Domain Adaptation Yuchen Zhang Tianle Liu Mingsheng Long Michael I. Jordan 113 713 0 11 Apr 2019
Support and Invertibility in Domain-Invariant Representations Fredrik D. Johansson David Sontag Rajesh Ranganath 87 164 0 08 Mar 2019
Recognition in Terra Incognita Sara Beery Grant Van Horn Pietro Perona 107 854 0 13 Jul 2018
Marginal Singularity, and the Benefits of Labels in Covariate-Shift Samory Kpotufe Guillaume Martinet 189 96 0 05 Mar 2018
Deeper, Broader and Artier Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 209 1,454 0 09 Oct 2017
Deep Hashing Network for Unsupervised Domain Adaptation Hemanth Venkateswara José Eusébio Shayok Chakraborty S. Panchanathan OOD 162 2,060 0 22 Jun 2017
Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks Peter L. Bartlett Nick Harvey Christopher Liaw Abbas Mehrabian 246 434 0 08 Mar 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.5K 195,053 0 10 Dec 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 533 9,544 0 28 May 2015
Fast Computing for Distance Covariance X. Huo G. Székely 136 131 0 06 Oct 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,705 0 01 Sep 2014
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 322 801 0 19 Feb 2009
Measuring and testing dependence by correlation of distances G. Székely Maria L. Rizzo N. K. Bakirov 313 2,610 0 28 Mar 2008