A Comprehensive Survey on Transfer Learning

7 November 2019

Hengshu Zhu

Papers citing "A Comprehensive Survey on Transfer Learning"

47 / 997 papers shown

Title
Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19 Ioannis D. Apostolopoulos Mpesiana A. Tzani 22 30 0 23 Nov 2020
EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP Applications Minghui Qiu Peng Li Chengyu Wang Hanjie Pan Yaliang Li ... Jun Yang Yaliang Li Jun Huang Deng Cai Wei Lin VLM SyDa 31 20 0 18 Nov 2020
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things Jing Zhang Dacheng Tao 31 462 0 17 Nov 2020
Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies Zijian Guo 28 17 0 15 Nov 2020
Learning causal representations for robust domain adaptation shuai Yang Kui Yu Fuyuan Cao Lin Liu Hongya Wang Jiuyong Li OOD CML TTA 18 44 0 12 Nov 2020
Robust and flexible learning of a high-dimensional classification rule using auxiliary outcomes Muxuan Liang Jaeyoung Park Qing Lu Xiang Zhong 22 0 0 11 Nov 2020
Language Model is All You Need: Natural Language Understanding as Question Answering Mahdi Namazifar Alexandros Papangelis Gokhan Tur Dilek Z. Hakkani-Tür 21 47 0 05 Nov 2020
Measuring and Harnessing Transference in Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 28 15 0 29 Oct 2020
Hyperparameter Transfer Across Developer Adjustments Daniel Stoll Jörg Franke Diane Wagner Simon Selg Frank Hutter 27 12 0 25 Oct 2020
A Study of Transfer Learning in Music Source Separation Andreas Bugler Bryan Pardo Prem Seetharaman 24 3 0 23 Oct 2020
A Novel Machine Learning Method for Preference Identification Azlan Iqbal 4 0 0 22 Oct 2020
Cognitive Learning-Aided Multi-Antenna Communications Ahmet M. Elbir Kumar Vijay Mishra 11 8 0 07 Oct 2020
Trustworthy Convolutional Neural Networks: A Gradient Penalized-based Approach Nicholas F Halliwell Freddy Lecue FAtt 22 9 0 29 Sep 2020
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey Wenshuai Zhao Jorge Peña Queralta Tomi Westerlund OffRL 6 711 0 24 Sep 2020
MARS: Mixed Virtual and Real Wearable Sensors for Human Activity Recognition with Multi-Domain Deep Learning Model Ling Pei Songpengcheng Xia Lei Chu Fanyi Xiao Qi Wu Wenxian Yu Zixuan Zhang 37 30 0 20 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 39 609 0 10 Sep 2020
A Comprehensive Analysis of Information Leakage in Deep Transfer Learning Cen Chen Bingzhe Wu Minghui Qiu Li Wang Jun Zhou PILM 6 10 0 04 Sep 2020
Large Dimensional Analysis and Improvement of Multi Task Learning Malik Tiomoko Ali Romain Couillet Hafiz Tiomoko 6 6 0 03 Sep 2020
A Survey on Negative Transfer Wen Zhang Lingfei Deng Lei Zhang Dongrui Wu AAML 27 205 0 02 Sep 2020
Ethical behavior in humans and machines -- Evaluating training data quality for beneficial machine learning Thilo Hagendorff 15 26 0 26 Aug 2020
Co-training for On-board Deep Object Detection Gabriel Villalonga A. Peña VLM ObjD 15 4 0 12 Aug 2020
An Overview of Deep Learning Architectures in Few-Shot Learning Domain Shruti Jadon Aryan Jadon VLM 40 55 0 12 Aug 2020
Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial Network Yuan Yao Xutao Li Yu Zhang Yunming Ye 11 27 0 06 Aug 2020
Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning Yiqin Yu Xu Min Shiwan Zhao Jing Mei Fei-Yue Wang Dongsheng Li Kenney Ng Shaochun Li 9 2 0 24 Jul 2020
Domain Generalization via Optimal Transport with Metric Similarity Learning Fan Zhou Zhuqing Jiang Changjian Shui Boyu Wang B. Chaib-draa OOD 27 53 0 21 Jul 2020
DWMD: Dimensional Weighted Orderwise Moment Discrepancy for Domain-specific Hidden Representation Matching Rongzhe Wei Fa Zhang Bo Dong Q. Zheng 14 0 0 18 Jul 2020
Deep Partial Updating: Towards Communication Efficient Updating for On-device Inference Zhongnan Qu Cong Liu Lothar Thiele 3DH 26 3 0 06 Jul 2020
On the application of transfer learning in prognostics and health management R. Moradi K. Groth 4 7 0 03 Jul 2020
A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review Adam Bignold Francisco Cruz Matthew E. Taylor Tim Brys Richard Dazeley Peter Vamplew Cameron Foale 20 28 0 03 Jul 2020
$Transfer Learning via $\ell_1$ Regularization$ Transfer Learning via $\ell_1$ Regularization Masaaki Takada Hironori Fujisawa 17 7 0 26 Jun 2020
Structure by Architecture: Structured Representations without Regularization Felix Leeb Giulia Lanzillotta Yashas Annadani M. Besserve Stefan Bauer Bernhard Schölkopf OOD CML 46 8 0 14 Jun 2020
Fast CRDNN: Towards on Site Training of Mobile Construction Machines Yusheng Xiang Tian Tang Tianqing Su Christine Brach Libo Liu Samuel S. Mao M. Geimer 4 18 0 04 Jun 2020
Weakly Supervised Representation Learning with Coarse Labels Yuanhong Xu Qi Qian Hao Li R. L. Jin Juhua Hu SSL 28 8 0 19 May 2020
Partly Supervised Multitask Learning A. Imran Chao Huang Hui Tang Wei Fan Yuan Xiao Dingjun Hao Zhen Qian D. Terzopoulos 13 12 0 05 May 2020
Can a powerful neural network be a teacher for a weaker neural network? Nicola Landro I. Gallo Riccardo La Grassa 6 0 0 01 May 2020
DeepMerge: Classifying High-redshift Merging Galaxies with Deep Neural Networks A. Ćiprijanović Gregory F. Snyder Brian D. Nord J. E. G. Peek 4 28 0 24 Apr 2020
Self-Supervised Representation Learning on Document Images Adrian Cosma Mihai Ghidoveanu Michael Panaitescu-Liess Marius Popescu SSL 28 14 0 18 Apr 2020
Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting Tanwi Mallick Prasanna Balaprakash E. Rask Jane Macfarlane GNN AI4TS 8 68 0 17 Apr 2020
QuantNet: Transferring Learning Across Systematic Trading Strategies Adriano Soares Koshiyama Sebastian Flennerhag Stefano B. Blumberg Nikan B. Firoozye Philip C. Treleaven AIFin MQ 12 9 0 07 Apr 2020
Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining Chengyu Wang Minghui Qiu Jun Huang Xiaofeng He AI4CE 31 24 0 29 Mar 2020
Design and Implementation of A Novel Precision Irrigation Robot Based on An Intelligent Path Planning Algorithm Minghan Chen Yilong Sun Xueqing Cai Boyi Liu Tenglong Ren 11 12 0 02 Mar 2020
Detection and Classification of Astronomical Targets with Deep Neural Networks in Wide Field Small Aperture Telescopes P. Jia Qiang Liu Yongyang Sun ObjD 16 44 0 21 Feb 2020
Federated Imitation Learning: A Novel Framework for Cloud Robotic Systems with Heterogeneous Sensor Data Boyi Liu Lujia Wang Ming-Yu Liu Cheng-Zhong Xu FedML 17 67 0 24 Dec 2019
An empirical study of neural networks for trend detection in time series Alexandre Miot Gilles Drigout AI4TS 18 2 0 09 Dec 2019
Transfer Learning Toolkit: Primers and Benchmarks Fuzhen Zhuang Keyu Duan Tongjia Guo Yongchun Zhu Dongbo Xi Zhiyuan Qi Qing He 21 2 0 20 Nov 2019
Pretraining boosts out-of-domain robustness for pose estimation Alexander Mathis Thomas Biasi Steffen Schneider Mert Yüksekgönül Byron Rogers Matthias Bethge Mackenzie W. Mathis OOD 30 122 0 24 Sep 2019