Gap Minimization for Knowledge Sharing and Transfer

26 January 2022

Boyu Wang

Jorge Armando Mendez Mendez

Papers citing "Gap Minimization for Knowledge Sharing and Transfer"

50 / 56 papers shown

Title
On Learning Fairness and Accuracy on Multiple Subgroups Changjian Shui Gezheng Xu Qi Chen Jiaqi Li Charles Ling Tal Arbel Boyu Wang Christian Gagné 60 38 0 19 Oct 2022
Fair Representation Learning through Implicit Path Alignment Changjian Shui Qi Chen Jiaqi Li Boyu Wang Christian Gagné 63 28 0 26 May 2022
f-Domain-Adversarial Learning: Theory and Algorithms David Acuna Guojun Zhang M. Law Sanja Fidler FedML AI4CE 45 60 0 21 Jun 2021
On the benefits of representation regularization in invariance based domain generalization Changjian Shui Boyu Wang Christian Gagné OOD 25 25 0 30 May 2021
Aggregating From Multiple Target-Shifted Sources Changjian Shui Zijian Li Jiaqi Li Christian Gagné Charles Ling Boyu Wang 64 30 0 09 May 2021
Multi-task Learning by Leveraging the Semantic Information Fan Zhou B. Chaib-draa Boyu Wang 52 12 0 03 Mar 2021
The Emerging Trends of Multi-Label Learning Weiwei Liu Haobo Wang Xiaobo Shen Ivor W. Tsang 57 255 0 23 Nov 2020
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation Yue Liu Yezhen Wang Shanghang Zhang Dongsheng Li Trevor Darrell Kurt Keutzer Han Zhao OOD 35 94 0 09 Oct 2020
Online Multitask Learning with Long-Term Memory Mark Herbster Stephen Pasteris Lisa Tse CLL 70 4 0 17 Aug 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 57 22 0 30 Jul 2020
Domain Generalization via Optimal Transport with Metric Similarity Learning Fan Zhou Zhuqing Jiang Changjian Shui Boyu Wang B. Chaib-draa OOD 44 54 0 21 Jul 2020
A Theory of Multiple-Source Adaptation with Limited Target Labeled Data Yishay Mansour M. Mohri Jae Hun Ro A. Suresh Ke Wu 73 28 0 19 Jul 2020
On the Theory of Transfer Learning: The Importance of Task Diversity Nilesh Tripuraneni Michael I. Jordan Chi Jin 92 217 0 20 Jun 2020
Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks Seyed Mohammadreza Mousavi Kalan Zalan Fabian A. Avestimehr Mahdi Soltanolkotabi 27 32 0 16 Jun 2020
Discriminative Active Learning for Domain Adaptation Fan Zhou Changjian Shui Bincheng Huang Boyu Wang B. Chaib-draa OOD 36 25 0 24 May 2020
Understanding and Improving Information Transfer in Multi-Task Learning Sen Wu Hongyang R. Zhang Christopher Ré 29 156 0 02 May 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 52 186 0 10 Mar 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 102 1,190 0 19 Jan 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 242 42,038 0 03 Dec 2019
Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning Mark Edmonds Xiaojian Ma Siyuan Qi Yixin Zhu Hongjing Lu Song-Chun Zhu 52 26 0 25 Nov 2019
Domain Generalization via Model-Agnostic Learning of Semantic Features Qi Dou Daniel Coelho De Castro Konstantinos Kamnitsas Ben Glocker OOD 92 688 0 29 Oct 2019
Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Scott Standley Amir Zamir Dawn Chen Leonidas Guibas Jitendra Malik Silvio Savarese 82 514 0 18 May 2019
Semi-supervised Domain Adaptation via Minimax Entropy Kuniaki Saito Donghyun Kim Stan Sclaroff Trevor Darrell Kate Saenko 59 618 0 13 Apr 2019
Bridging Theory and Algorithm for Domain Adaptation Yuchen Zhang Tianle Liu Mingsheng Long Michael I. Jordan 62 706 0 11 Apr 2019
A Principled Approach for Learning Task Similarity in Multitask Learning Changjian Shui Mahdieh Abbasi Louis-Émile Robitaille Boyu Wang Christian Gagné 52 56 0 21 Mar 2019
Domain Generalization by Solving Jigsaw Puzzles Fabio Maria Carlucci A. DÍnnocente S. Bucci Barbara Caputo Tatiana Tommasi SSL 59 810 0 16 Mar 2019
A Survey of Unsupervised Deep Domain Adaptation Garrett Wilson D. Cook OOD 71 809 0 06 Dec 2018
Multi-Task Learning as Multi-Objective Optimization Ozan Sener V. Koltun 112 1,266 0 10 Oct 2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 171 722 0 13 Jun 2018
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning Feng Yu Haofeng Chen Xin Wang Wenqi Xian Yingying Chen Fangchen Liu Vashisht Madhavan Trevor Darrell VLM 122 2,112 0 12 May 2018
Label Efficient Learning of Transferable Representations across Domains and Tasks Zelun Luo Yuliang Zou Judy Hoffman Li Fei-Fei 62 275 0 30 Nov 2017
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks Zhao Chen Vijay Badrinarayanan Chen-Yu Lee Andrew Rabinovich ODL 105 1,273 0 07 Nov 2017
Deeper, Broader and Artier Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 94 1,434 0 09 Oct 2017
Multi-task Self-Supervised Visual Learning Carl Doersch Andrew Zisserman SSL 54 631 0 25 Aug 2017
Deep Hashing Network for Unsupervised Domain Adaptation Hemanth Venkateswara José Eusébio Shayok Chakraborty S. Panchanathan OOD 102 2,030 0 22 Jun 2017
Adversarial Multi-task Learning for Text Classification Pengfei Liu Xipeng Qiu Xuanjing Huang 94 609 0 19 Apr 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 211 8,072 0 15 Mar 2017
Identifying beneficial task relations for multi-task learning in deep neural networks Joachim Bingel Anders Søgaard 38 251 0 27 Feb 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 135 4,822 0 26 Jan 2017
Theoretical Analysis of Domain Adaptation with Optimal Transport I. Redko Amaury Habrard M. Sebban OT 51 184 0 14 Oct 2016
Cross-stitch Networks for Multi-task Learning Ishan Misra Abhinav Shrivastava Abhinav Gupta M. Hebert 66 1,339 0 12 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 667 11,540 0 06 Apr 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 343 9,418 0 28 May 2015
The Benefit of Multitask Representation Learning Andreas Maurer Massimiliano Pontil Bernardino Romera-Paredes SSL 74 375 0 23 May 2015
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan OOD 187 5,163 0 10 Feb 2015
Fast Rates by Transferring from Auxiliary Hypotheses Ilja Kuzborskij Francesco Orabona 44 63 0 04 Dec 2014
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning Andreas Maurer Massimiliano Pontil Bernardino Romera-Paredes 42 23 0 08 Feb 2014
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks P. Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun ObjD 120 4,999 0 21 Dec 2013
Sparse coding for multitask and transfer learning Andreas Maurer Massimiliano Pontil Bernardino Romera-Paredes 63 191 0 04 Sep 2012
Learning Task Grouping and Overlap in Multi-task Learning Abhishek Kumar Hal Daumé 243 526 0 27 Jun 2012