A Comprehensive Survey on Transfer Learning

7 November 2019

Hengshu Zhu

Papers citing "A Comprehensive Survey on Transfer Learning"

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Title
Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle Vanessa Mehlin Sigurd Schacht Carsten Lanquillon HAI MedIm 33 19 0 05 Feb 2023
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion Yi-An Lai Elman Mansimov Yuqing Xie Yan Zhang 27 3 0 04 Feb 2023
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification Gorka Abad Jing Xu Stefanos Koffas Behrad Tajalli S. Picek Mauro Conti AAML 67 5 0 03 Feb 2023
Unpaired Multi-Domain Causal Representation Learning Nils Sturma C. Squires Mathias Drton Caroline Uhler OOD CML 48 20 0 02 Feb 2023
Reverse Ordering Techniques for Attention-Based Channel Prediction Valentina Rizzello Benedikt Bock M. Joham Wolfgang Utschick AI4TS 38 7 0 01 Feb 2023
The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence Elif Keles Ulas Bagci 43 22 0 01 Feb 2023
Privacy Preserving Ultra-Short-term Wind Power Prediction Based on Secure Multi Party Computation Hang Fan Xiaoyu Fan Tianyi Hao Wei Wei Kung Chen Guosai Wang Xiaofeng Jia Yidong Li Wei Xu 38 3 0 31 Jan 2023
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning Darshita Jain A. Majumder S. Dutta Swagat Kumar SSL 34 1 0 31 Jan 2023
Multi-task Highly Adaptive Lasso Ivana Malenica Rachael V. Phillips D. Lazzareschi Jeremy Coyle Romain Pirracchio Mark van der Laan 35 0 0 27 Jan 2023
Feasibility and Transferability of Transfer Learning: A Mathematical Framework Haoyang Cao Haotian Gu Xin Guo M. Rosenbaum 41 2 0 27 Jan 2023
Anatomy-aware and acquisition-agnostic joint registration with SynthMorph Malte Hoffmann Andrew Hoopes Douglas N. Greve Bruce Fischl Adrian Dalca MedIm 54 16 0 26 Jan 2023
Learning Good Features to Transfer Across Tasks and Domains Pierluigi Zama Ramirez Adriano Cardace Luca de Luigi A. Tonioni Samuele Salti Luigi Di Stefano OOD 22 9 0 26 Jan 2023
Improving Text-based Early Prediction by Distillation from Privileged Time-Series Text Jinghui Liu Daniel Capurro Anthony N. Nguyen Karin Verspoor AI4TS 26 3 0 26 Jan 2023
Transfer Learning for Olfactory Object Detection Mathias Zinnen Prathmesh Madhu Peter Bell Andreas Maier Vincent Christlein ObjD 11 4 0 24 Jan 2023
Towards Modular Machine Learning Solution Development: Benefits and Trade-offs Samiyuru Menik Lakshmish Ramaswamy 42 4 0 23 Jan 2023
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems Megan M. Baker Alexander New Mario Aguilar-Simon Ziad Al-Halah Sébastien M. R. Arnold ... Zifan Xu A. Yanguas-Gil Harel Yedidsion Shangqun Yu Gautam K. Vallabha 35 16 0 18 Jan 2023
A Survey of Advanced Computer Vision Techniques for Sports Tiago Mendes-Neves Luís Meireles João Mendes-Moreira 39 4 0 18 Jan 2023
Tailor: Altering Skip Connections for Resource-Efficient Inference Olivia Weng Gabriel Marcano Vladimir Loncar Alireza Khodamoradi Nojan Sheybani Andres Meza F. Koushanfar K. Denolf Javier Mauricio Duarte Ryan Kastner 46 12 0 18 Jan 2023
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly Chengzhi Wu Xuelei Bi Julius Pfrommer Alexander Cebulla Simon Mangold Jürgen Beyerer 3DPC 32 20 0 12 Jan 2023
CDA: Contrastive-adversarial Domain Adaptation Nishant Yadav M. Alam Ahmed K. Farahat Dipanjan Ghosh Chetan Gupta A. Ganguly 22 2 0 10 Jan 2023
Transfer learning for conflict and duplicate detection in software requirement pairs G. Malik Savaş Yıldırım Mucahit Cevik A. Bener D. Parikh 27 4 0 09 Jan 2023
Network Slicing via Transfer Learning aided Distributed Deep Reinforcement Learning Tianlun Hu Qi Liao Qian Liu Georg Carle OffRL 30 8 0 09 Jan 2023
Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance Guijin Son Hanwool Albert Lee Nahyeon Kang Moonjeong Hahm 30 8 0 09 Jan 2023
SEQUENT: Towards Traceable Quantum Machine Learning using Sequential Quantum Enhanced Training Philipp Altmann Leo Sünkel Jonas Stein Tobias Müller Christoph Roch Claudia Linnhoff-Popien 25 5 0 06 Jan 2023
LostNet: A smart way for lost and find Meihua Zhou Ivan Fung Li Yang Nan Wan Keke Di Tingting Wang 15 2 0 05 Jan 2023
Reprogramming Pretrained Language Models for Protein Sequence Representation Learning R. Vinod Pin-Yu Chen Payel Das 93 12 0 05 Jan 2023
A comprehensive review of automatic text summarization techniques: method, data, evaluation and coding D. Cajueiro A. G. Nery Igor Tavares Maísa Kely de Melo Silvia A. dos Reis Weigang Li V. R. R. Celestino 35 15 0 04 Jan 2023
Conservation Tools: The Next Generation of Engineering--Biology Collaborations Andrew Schulz Cassie Shriver Suzanne Stathatos Benjamin Seleb E. Weigel Young-Hui Chang M. S. Bhamla David Hu Biomolecular Engineering Georgia Tech Zoo Atlanta 18 14 0 03 Jan 2023
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification Shuang Wang Rui Ma Tieru Wu Yang Cao 36 5 0 02 Jan 2023
A Survey on Protein Representation Learning: Retrospect and Prospect Lirong Wu Yu-Feng Huang H. Lin Stan Z. Li AI4TS 40 12 0 31 Dec 2022
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse Xiao Li Sheng Liu Jin-li Zhou Xin Lu C. Fernandez‐Granda Zhihui Zhu Q. Qu AAML 33 19 0 23 Dec 2022
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks Zeyang Sha Xinlei He Pascal Berrang Mathias Humbert Yang Zhang AAML 18 34 0 18 Dec 2022
Graph Neural Network based Child Activity Recognition Sanka Mohottala Pradeepa Samarasinghe D. Kasthurirathna Charith Abhayaratne BDL GNN 20 5 0 18 Dec 2022
Reliable extrapolation of deep neural operators informed by physics or sparse observations Min Zhu Handi Zhang Anran Jiao George Karniadakis Lu Lu 55 91 0 13 Dec 2022
Egocentric Video Task Translation Zihui Xue Yale Song Kristen Grauman Lorenzo Torresani EgoV 36 12 0 13 Dec 2022
Editing Models with Task Arithmetic Gabriel Ilharco Marco Tulio Ribeiro Mitchell Wortsman Suchin Gururangan Ludwig Schmidt Hannaneh Hajishirzi Ali Farhadi KELM MoMe MU 77 443 0 08 Dec 2022
EASpace: Enhanced Action Space for Policy Transfer Zheng Zhang Qingrui Zhang Bo Zhu Xiaohan Wang Tianjiang Hu 29 0 0 07 Dec 2022
Towards Fleet-wide Sharing of Wind Turbine Condition Information through Privacy-preserving Federated Learning Lorin Jenkel S. Jonas Angela Meyer FedML 41 6 0 07 Dec 2022
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning Cheng-Hao Tu Zheda Mai Wei-Lun Chao 32 44 0 06 Dec 2022
Soft Labels for Rapid Satellite Object Detection Matt Ciolino Grant Rosario David Noever ObjD 65 0 0 01 Dec 2022
Procedural Image Programs for Representation Learning Manel Baradad Chun-Fu Jonas Wulff Tongzhou Wang Rogerio Feris Antonio Torralba Phillip Isola 36 18 0 29 Nov 2022
Transferability Estimation Based On Principal Gradient Expectation Huiyan Qi Lechao Cheng Jingjing Chen Yue Yu Xue Song Zunlei Feng Yueping Jiang 32 2 0 29 Nov 2022
Automatically Extracting Information in Medical Dialogue: Expert System And Attention for Labelling Xinshi Wang Daniel Tang 26 2 0 28 Nov 2022
Revisiting Distance Metric Learning for Few-Shot Natural Language Classification Witold Sosnowski Anna Wróblewska Karolina Seweryn P. Gawrysiak 23 0 0 28 Nov 2022
Forged Image Detection using SOTA Image Classification Deep Learning Methods for Image Forensics with Error Level Analysis Raunak Joshi Abhishek Gupta Nandan Kanvinde P. Ghonge 30 3 0 28 Nov 2022
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges K. T. Baghaei Amirreza Payandeh Pooya Fayyazsanavi Shahram Rahimi Zhiqian Chen Somayeh Bakhtiari Ramezani FaML AI4TS 40 6 0 27 Nov 2022
Neural Weight Search for Scalable Task Incremental Learning Jian Jiang Oya Celiktutan CLL 27 7 0 24 Nov 2022
Unsupervised Unlearning of Concept Drift with Autoencoders André Artelt Kleanthis Malialis C. Panayiotou Marios M. Polycarpou Barbara Hammer MU 13 4 0 23 Nov 2022
Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions Rafal Kocielnik Sara Kangaslahti Shrimai Prabhumoye M. Hari R. Alvarez Anima Anandkumar 21 6 0 21 Nov 2022
Deep learning methods for drug response prediction in cancer: predominant and emerging trends A. Partin Thomas Brettin Yitan Zhu Oleksandr Narykov Austin R. Clyde Jamie Overbeek Department of Materials Science 31 54 0 18 Nov 2022