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A Comprehensive Survey on Transfer Learning

7 November 2019

Hengshu Zhu

Papers citing "A Comprehensive Survey on Transfer Learning"

50 / 1,013 papers shown

Title
Editing Models with Task Arithmetic Gabriel Ilharco Marco Tulio Ribeiro Mitchell Wortsman Suchin Gururangan Ludwig Schmidt Hannaneh Hajishirzi Ali Farhadi KELM MoMe MU 247 523 0 08 Dec 2022
EASpace: Enhanced Action Space for Policy Transfer Zheng Zhang Qingrui Zhang Bo Zhu Xiaohan Wang Tianjiang Hu 86 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 104 7 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 64 48 0 06 Dec 2022
Soft Labels for Rapid Satellite Object Detection Matt Ciolino Grant Rosario David Noever ObjD 120 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 105 23 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 89 2 0 29 Nov 2022
Automatically Extracting Information in Medical Dialogue: Expert System And Attention for Labelling Xinshi Wang Daniel Tang 61 2 0 28 Nov 2022
Revisiting Distance Metric Learning for Few-Shot Natural Language Classification Witold Sosnowski Anna Wróblewska Karolina Seweryn P. Gawrysiak 68 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 57 4 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 71 6 0 27 Nov 2022
Neural Weight Search for Scalable Task Incremental Learning Jian Jiang Oya Celiktutan CLL 67 8 0 24 Nov 2022
Unsupervised Unlearning of Concept Drift with Autoencoders André Artelt Kleanthis Malialis C. Panayiotou Marios M. Polycarpou Barbara Hammer MU 64 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 61 8 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 79 60 0 18 Nov 2022
Transfer learning for tensor Gaussian graphical models Mingyang Ren Yao Zhen Junhui Wang 77 1 0 17 Nov 2022
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey Yuecong Xu Haozhi Cao Zhenghua Chen Xiaoli Li Lihua Xie Jianfei Yang 104 15 0 17 Nov 2022
ParticleGrid: Enabling Deep Learning using 3D Representation of Materials Shehtab Zaman E. Ferguson Cécile Pereira D. Akhiyarov Mauricio Araya-Polo Kenneth Chiu DiffM AI4CE 84 2 0 15 Nov 2022
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research J. Bornschein Alexandre Galashov Ross Hemsley Amal Rannen-Triki Yutian Chen ... Angeliki Lazaridou Yee Whye Teh Andrei A. Rusu Razvan Pascanu MarcÁurelio Ranzato OOD VLM AI4TS 111 18 0 15 Nov 2022
Using Human Perception to Regularize Transfer Learning Justin Dulay Walter J. Scheirer 75 8 0 15 Nov 2022
Renewing Iterative Self-labeling Domain Adaptation with Application to the Spine Motion Prediction Gecheng Chen Yu Zhou Xudong Zhang Rui Tuo 63 2 0 14 Nov 2022
A Survey on Preserving Fairness Guarantees in Changing Environments Ainhize Barrainkua Paula Gordaliza Jose A. Lozano Novi Quadrianto FaML 83 3 0 14 Nov 2022
Integrating Transformer and Autoencoder Techniques with Spectral Graph Algorithms for the Prediction of Scarcely Labeled Molecular Data Nicole Hayes Ekaterina Merkurjev Guo-Wei Wei 58 8 0 12 Nov 2022
Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian Optimization Jose Pablo Folch Robert M. Lee B. Shafei David Walz Calvin Tsay Mark van der Wilk Ruth Misener 84 26 0 11 Nov 2022
Learning Visual Representation of Underwater Acoustic Imagery Using Transformer-Based Style Transfer Method Xiaoteng Zhou Changli Yu S. Yuan Xin Yuan Hang Yu Citong Luo ViT 66 1 0 10 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 111 13 0 09 Nov 2022
Towards Global Crop Maps with Transfer Learning H. Jo Alkiviadis Koukos Vasileios Sitokonstantinou Wookyun Lee C. Kontoes 100 4 0 09 Nov 2022
Towards Algorithmic Fairness in Space-Time: Filling in Black Holes Cheryl J. Flynn Aritra Guha Subhabrata Majumdar D. Srivastava Zhen-Xiong Zhou 38 0 0 08 Nov 2022
$BT^2$ : Backward-compatible Training with Basis Transformation Yi Zhou Zilu Li Abhinav Shrivastava Hengshuang Zhao Antonio Torralba Taipeng Tian Ser-Nam Lim 68 4 0 08 Nov 2022
Enabling Deep Learning-based Physical-layer Secret Key Generation for FDD-OFDM Systems in Multi-Environments Xinwei Zhang Guyue Li Junqing Zhang Linning Peng A. Hu Xianbin Wang 82 11 0 06 Nov 2022
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments Ke Li Renzhi Chen Xin Yao 76 18 0 05 Nov 2022
A Robust and Low Complexity Deep Learning Model for Remote Sensing Image Classification Cam Le L. D. Pham Nghia Nvn Truong Thao Nguyen L. Trang 85 2 0 05 Nov 2022
A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data Haodi Jiang Qin Li Zhihang Hu Nian Liu Yasser Abduallah ... Genwei Zhang Yan Xu Wynne Hsu Jinqiao Wang Haimin Wang 77 6 0 04 Nov 2022
Sky-image-based solar forecasting using deep learning with multi-location data: training models locally, globally or via transfer learning? Yuhao Nie Quentin Paletta Andea Scotta L. Pomares Guillaume Arbod S. Sgouridis Joan Lasenby A. Brandt 73 7 0 03 Nov 2022
TorchFL: A Performant Library for Bootstrapping Federated Learning Experiments Vivek Khimani S. Jabbari FedML AI4CE 101 0 0 01 Nov 2022
Transfer Learning with Kernel Methods Adityanarayanan Radhakrishnan Max Ruiz Luyten Neha Prasad Caroline Uhler 59 25 0 01 Nov 2022
Leveraging Computer Vision Application in Visual Arts: A Case Study on the Use of Residual Neural Network to Classify and Analyze Baroque Paintings Daniel Kvak 47 0 0 27 Oct 2022
A Survey on Artificial Intelligence for Music Generation: Agents, Domains and Perspectives Carlos Hernandez-Olivan Javier Hernandez-Olivan J. R. Beltrán MGen 103 7 0 25 Oct 2022
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning F. Lopez-Tiro Juan Pablo Betancur-Rengifo Arturo Ruiz-Sanchez Iván Reyes-Amezcua Jonathan El Beze Jacques Hubert M. Daudon Gilberto Ochoa-Ruiz Christian Daul 61 10 0 24 Oct 2022
Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach Dong Chen Xinda Qi Yu Zheng Yuzhen Lu Zhao Li DiffM 79 15 0 18 Oct 2022
Review learning: Real world validation of privacy preserving continual learning across medical institutions Jaesung Yoo Sung-Hyuk Choi Yewon Yang Suhyeon Kim J. Choi ... H. J. Joo Dae-Jung Kim R. Park Hyeong-Jin Yoon Kwangsoo Kim OffRL KELM 89 0 0 17 Oct 2022
Accelerating Transfer Learning with Near-Data Computation on Cloud Object Stores Arsany Guirguis Diana Petrescu Florin Dinu D. Quoc Javier Picorel R. Guerraoui 77 0 0 16 Oct 2022
Survey of Deep Learning for Autonomous Surface Vehicles in the Marine Environment Yuanyuan Qiao Jiaxin Yin Wei Wang Fábio Duarte Jie Yang C. Ratti 130 81 0 16 Oct 2022
Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties Amit Gupta Daniel S. Karls Mingjian Wen Ilia Nikiforov E. Tadmor George Karypis 82 8 0 14 Oct 2022
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models Sourya Basu P. Sattigeri Karthikeyan N. Ramamurthy Vijil Chenthamarakshan Kush R. Varshney Lav Varshney Payel Das 72 19 0 13 Oct 2022
Transfer Learning with Joint Fine-Tuning for Multimodal Sentiment Analysis Guilherme Lourencco de Toledo R. Marcacini 47 5 0 11 Oct 2022
Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks Xiaowu Sun Yasser Shoukry 89 11 0 11 Oct 2022
Novice Type Error Diagnosis with Natural Language Models Chuqin Geng Haolin Ye Yixuan Li Tianyu Han B. Pientka X. Si 64 3 0 07 Oct 2022
Fault Diagnosis using eXplainable AI: a Transfer Learning-based Approach for Rotating Machinery exploiting Augmented Synthetic Data L. Brito Gian Antonio Susto J. N. Brito M. Duarte 86 52 0 06 Oct 2022
Hypernetwork approach to Bayesian MAML Piotr Borycki Piotr Kubacki Marcin Przewiȩźlikowski Tomasz Kuśmierczyk Jacek Tabor Przemysław Spurek BDL 60 2 0 06 Oct 2022