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A Review of Deep Transfer Learning and Recent Advancements
19 January 2022
Mohammadreza Iman
Khaled Rasheed
H. Arabnia
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Papers citing
"A Review of Deep Transfer Learning and Recent Advancements"
46 / 46 papers shown
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Enhancing Early Alzheimer Disease Detection through Big Data and Ensemble Few-Shot Learning
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137
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22 Oct 2025
Empirical Comparison of Membership Inference Attacks in Deep Transfer Learning
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Gauri Pradhan
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Antti Honkela
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341
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Chence Yang
C. Zhang
Lei Lu
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Jundong Li
Xiaoming Zhai
Jin Lu
Geng Yuan
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168
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20 Aug 2025
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Qian Zhang
Mia Y. Wang
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21 May 2025
Acute Lymphoblastic Leukemia Diagnosis Employing YOLOv11, YOLOv8, ResNet50, and Inception-ResNet-v2 Deep Learning Models
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Salah A. Aly
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13 Feb 2025
Fine-Tuning Federated Learning-Based Intrusion Detection Systems for Transportation IoT
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Nana Kankam Gyimah
Mansi Bhavsar
John Kelly
528
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10 Feb 2025
On the use of neural networks for the structural characterization of polymeric porous materials
Jorge Torre
Suset Barroso-Solares
M.A. Rodríguez-Pérez
Javier Pinto
282
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25 Jan 2025
Text2Data: Low-Resource Data Generation with Textual Control
AAAI Conference on Artificial Intelligence (AAAI), 2024
Shiyu Wang
Yihao Feng
Tian Lan
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Yu Bai
Ran Xu
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Caiming Xiong
Siyang Song
DiffM
403
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03 Jan 2025
What do physics-informed DeepONets learn? Understanding and improving training for scientific computing applications
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Amanda A. Howard
B. Meuris
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276
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27 Nov 2024
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy
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Ping Xia
Kevin Stephans
Neil Woody
Michael Martens
Robert Brown
Bingqi Guo
237
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22 Nov 2024
Probe-Me-Not: Protecting Pre-trained Encoders from Malicious Probing
Network and Distributed System Security Symposium (NDSS), 2024
Ruyi Ding
Tong Zhou
Lili Su
A. A. Ding
Xiaolin Xu
Yunsi Fei
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387
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0
19 Nov 2024
Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation
Neural Information Processing Systems (NeurIPS), 2024
Wei Dong
Yuan Sun
Yiting Yang
Xing Zhang
Zhijun Lin
Qingsen Yan
Han Zhang
Peng Wang
Yang Yang
Hengtao Shen
250
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0
30 Oct 2024
A Survey on Deep Tabular Learning
Shriyank Somvanshi
Subasish Das
Syed Aaqib Javed
Gian Antariksa
Ahmed Hossain
LMTD
561
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15 Oct 2024
Diagnosis of Malignant Lymphoma Cancer Using Hybrid Optimized Techniques Based on Dense Neural Networks
International Conferences on Computing Advancements (ICCCA), 2024
Salah A. Aly
Ali M. Bakhiet
Mazen Balat
166
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09 Oct 2024
A Novel Method for Accurate & Real-time Food Classification: The Synergistic Integration of EfficientNetB7, CBAM, Transfer Learning, and Data Augmentation
Shayan Rokhva
Babak Teimourpour
227
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03 Oct 2024
In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar Tasks
Dingzirui Wang
Xuanliang Zhang
Qiguang Chen
Longxu Dou
Xiao Xu
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Qingfu Zhu
Wanxiang Che
Binhua Li
Fei Huang
Yongbin Li
425
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02 Oct 2024
Reconstructing Training Data From Real World Models Trained with Transfer Learning
Yakir Oz
Gilad Yehudai
Gal Vardi
Itai Antebi
Michal Irani
Niv Haim
288
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22 Jul 2024
Bridging Data Gaps in Healthcare: A Scoping Review of Transfer Learning in Biomedical Data Analysis
Siqi Li
Xin Li
Kunyu Yu
Di Miao
Mingcheng Zhu
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Ziwen Wang
Yuqing Shang
Molei Liu
Chuan Hong
Nan Liu
168
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04 Jul 2024
Leveraging Knowledge Distillation for Lightweight Skin Cancer Classification: Balancing Accuracy and Computational Efficiency
Niful Islam
Khan Md. Hasib
Fahmida Akter Joti
Asif Karim
Sami Azam
331
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24 Jun 2024
Data-driven Modeling in Metrology -- A Short Introduction, Current Developments and Future Perspectives
Linda-Sophie Schneider
Patrick Krauss
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Christopher Syben
Richard Schielein
Andreas Maier
AI4CE
231
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24 Jun 2024
Federated and Transfer Learning for Cancer Detection Based on Image Analysis
Amine Bechar
Y. Elmir
Yassine Himeur
Rafik Medjoudj
Abbes Amira
MedIm
294
30
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30 May 2024
Computer Vision in the Food Industry: Accurate, Real-time, and Automatic Food Recognition with Pretrained MobileNetV2
Shayan Rokhva
Babak Teimourpour
Amir Hossein Soltani
302
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19 May 2024
CarDreamer: Open-Source Learning Platform for World Model based Autonomous Driving
IEEE Internet of Things Journal (IEEE IoT J.), 2024
Dechen Gao
Shuangyu Cai
Hanchu Zhou
Hang Wang
Iman Soltani
Junshan Zhang
361
17
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15 May 2024
Adapting WavLM for Speech Emotion Recognition
Daria Diatlova
Anton Udalov
Vitalii Shutov
Egor Spirin
328
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07 May 2024
Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach
Wei Dong
Xing Zhang
Bihui Chen
Dawei Yan
Zhijun Lin
Qingsen Yan
Peng Wang
Yang Yang
275
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28 Mar 2024
An active learning model to classify animal species in Hong Kong
Gareth Lamb
Ching Hei Lo
Jin Wu
Calvin K. F. Lee
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228
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23 Mar 2024
Hyperdimensional computing: a fast, robust and interpretable paradigm for biological data
Michiel Stock
Dimitri Boeckaerts
Pieter Dewulf
S. Taelman
Maxime Van Haeverbeke
W. Criekinge
B. De Baets
279
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27 Feb 2024
Bias correction of wind power forecasts with SCADA data and continuous learning
Stefan Jonas
Kevin Winter
B. Brodbeck
Angela Meyer
169
3
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21 Feb 2024
Transfer learning with generative models for object detection on limited datasets
Matteo Paiano
Stefano Martina
Carlotta Giannelli
Filippo Caruso
309
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09 Feb 2024
Online Transfer Learning for RSV Case Detection
Yiming Sun
Yuhe Gao
Runxue Bao
Gregory F. Cooper
J. Espino
Harry Hochheiser
Marian G. Michaels
J. M. Aronis
Chenxi Song
Ye Ye
306
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03 Feb 2024
Transferring Core Knowledge via Learngenes
Fu Feng
Jing Wang
Xin Geng
318
10
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16 Jan 2024
An Integrated Imitation and Reinforcement Learning Methodology for Robust Agile Aircraft Control with Limited Pilot Demonstration Data
Gulay Goktas Sever
Umut Demir
A. S. Satir
M. C. Sahin
N. K. Üre
200
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27 Dec 2023
How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jun Bai
Xiaofeng Zhang
Chen Li
Hanhua Hong
Xi Xu
Chenghua Lin
Wenge Rong
320
12
0
08 Dec 2023
Successive Model-Agnostic Meta-Learning for Few-Shot Fault Time Series Prognosis
Hai Su
Jiajun Hu
Songsen Yu
AI4TS
233
5
0
04 Nov 2023
Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time series
Alexandros-Menelaos Tzortzis
Sotiris Pelekis
Evangelos Spiliotis
S. Mouzakitis
J. Psarras
D. Askounis
AI4TS
248
20
0
24 Oct 2023
A Recent Survey of Heterogeneous Transfer Learning
Runxue Bao
Yiming Sun
Yuhe Gao
Yongfeng Zhang
Qiang Yang
Zhi-Hong Mao
Ye Ye
401
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12 Oct 2023
Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing
Neural Information Processing Systems (NeurIPS), 2023
Wei Dong
Dawei Yan
Zhijun Lin
Peng Wang
334
41
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On-device Real-time Custom Hand Gesture Recognition
Esha Uboweja
David Tian
Qifei Wang
Yi-Chun Kuo
Joe Zou
Lu Wang
George Sung
Matthias Grundmann
192
10
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Implicit regularisation in stochastic gradient descent: from single-objective to two-player games
Mihaela Rosca
M. Deisenroth
214
2
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Genes in Intelligent Agents
Fu Feng
Jing Wang
Xu Yang
Xin Geng
AI4CE
187
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Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models
Qiufeng Wang
Xu Yang
Shuxia Lin
Jing Wang
Xin Geng
260
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03 May 2023
Progressive Transfer Learning for Dexterous In-Hand Manipulation with Multi-Fingered Anthropomorphic Hand
IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2023
Yongkang Luo
Wanyi Li
Peng Wang
Haonan Duan
Wei Wei
Jia sun
241
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19 Apr 2023
Can we learn better with hard samples?
Subin Sahayam
John Zakkam
Umarani Jayaraman
276
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Colab NAS: Obtaining lightweight task-specific convolutional neural networks following Occam's razor
Future generations computer systems (FGCS), 2022
Andrea Mattia Garavagno
D. Leonardis
A. Frisoli
390
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Deep transfer learning for image classification: a survey
J. Plested
Musa Phiri
Tom Gedeon
OOD
309
50
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20 May 2022
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