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A Comprehensive Survey on Transfer Learning

A Comprehensive Survey on Transfer Learning

7 November 2019
Fuzhen Zhuang
Zhiyuan Qi
Keyu Duan
Dongbo Xi
Yongchun Zhu
Hengshu Zhu
Hui Xiong
Qing He
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Papers citing "A Comprehensive Survey on Transfer Learning"

50 / 997 papers shown
Title
Transfer Learning Beyond Bounded Density Ratios
Transfer Learning Beyond Bounded Density Ratios
Alkis Kalavasis
Ilias Zadik
Manolis Zampetakis
50
4
0
18 Mar 2024
On the low-shot transferability of [V]-Mamba
On the low-shot transferability of [V]-Mamba
Diganta Misra
Jay Gala
Antonio Orvieto
Mamba
50
1
0
15 Mar 2024
Few-Shot Image Classification and Segmentation as Visual Question
  Answering Using Vision-Language Models
Few-Shot Image Classification and Segmentation as Visual Question Answering Using Vision-Language Models
Tian Meng
Yang Tao
Ruilin Lyu
Wuliang Yin
VLM
46
1
0
15 Mar 2024
Regularization-Based Efficient Continual Learning in Deep State-Space
  Models
Regularization-Based Efficient Continual Learning in Deep State-Space Models
Yuanhang Zhang
Zhidi Lin
Yiyong Sun
Feng Yin
Carsten Fritsche
CLL
26
2
0
15 Mar 2024
LabelAId: Just-in-time AI Interventions for Improving Human Labeling
  Quality and Domain Knowledge in Crowdsourcing Systems
LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems
Chu Li
Zhihan Zhang
Michael Saugstad
Esteban Safranchik
Minchu Kulkarni
Xiaoyu Huang
Shwetak N. Patel
Vikram Iyer
Tim Althoff
Jon E. Froehlich
48
5
0
14 Mar 2024
Unleashing the Power of Meta-tuning for Few-shot Generalization Through
  Sparse Interpolated Experts
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts
Shengzhuang Chen
Jihoon Tack
Yunqiao Yang
Yee Whye Teh
Jonathan Richard Schwarz
Ying Wei
MoE
43
1
0
13 Mar 2024
Cross-user activity recognition using deep domain adaptation with
  temporal relation information
Cross-user activity recognition using deep domain adaptation with temporal relation information
Xiaozhou Ye
Waleed H. Abdulla
Nirmal Nair
Kevin I-Kai Wang
37
2
0
12 Mar 2024
Machine Learning Techniques for Sensor-based Human Activity Recognition
  with Data Heterogeneity -- A Review
Machine Learning Techniques for Sensor-based Human Activity Recognition with Data Heterogeneity -- A Review
Xiaozhou Ye
Kouichi Sakurai
Nirmal Nair
Kevin I-Kai Wang
18
7
0
12 Mar 2024
Measuring Data Similarity for Efficient Federated Learning: A
  Feasibility Study
Measuring Data Similarity for Efficient Federated Learning: A Feasibility Study
Fernanda Famá
Charalampos Kalalas
Sandra Lagen
Paolo Dini
FedML
30
3
0
12 Mar 2024
Pre-Trained Model Recommendation for Downstream Fine-tuning
Pre-Trained Model Recommendation for Downstream Fine-tuning
Jiameng Bai
Sai Wu
Jie Song
Junbo Zhao
Gang Chen
42
0
0
11 Mar 2024
Towards In-Vehicle Multi-Task Facial Attribute Recognition:
  Investigating Synthetic Data and Vision Foundation Models
Towards In-Vehicle Multi-Task Facial Attribute Recognition: Investigating Synthetic Data and Vision Foundation Models
Esmaeil Seraj
Walter Talamonti
30
0
0
10 Mar 2024
Active Generalized Category Discovery
Active Generalized Category Discovery
Shijie Ma
Fei Zhu
Zhun Zhong
Xu-Yao Zhang
Cheng-Lin Liu
37
13
0
07 Mar 2024
On Transfer in Classification: How Well do Subsets of Classes
  Generalize?
On Transfer in Classification: How Well do Subsets of Classes Generalize?
Raphael Baena
Lucas Drumetz
Vincent Gripon
37
0
0
06 Mar 2024
Training Machine Learning models at the Edge: A Survey
Training Machine Learning models at the Edge: A Survey
Aymen Rayane Khouas
Mohamed Reda Bouadjenek
Hakim Hacid
Sunil Aryal
29
10
0
05 Mar 2024
A Regularization-based Transfer Learning Method for Information
  Extraction via Instructed Graph Decoder
A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder
Kedi Chen
Jie Zhou
Qin Chen
Shunyu Liu
Liang He
38
2
0
01 Mar 2024
Automated Testing of Spatially-Dependent Environmental Hypotheses
  through Active Transfer Learning
Automated Testing of Spatially-Dependent Environmental Hypotheses through Active Transfer Learning
Nicholas Harrison
Nathan D. Wallace
Salah Sukkarieh
18
0
0
28 Feb 2024
Transfer Learning Bayesian Optimization to Design Competitor DNA
  Molecules for Use in Diagnostic Assays
Transfer Learning Bayesian Optimization to Design Competitor DNA Molecules for Use in Diagnostic Assays
Ruby Sedgwick
John P. Goertz
Molly M. Stevens
Ruth Misener
Mark van der Wilk
BDL
19
0
0
27 Feb 2024
Towards Generalizing Inferences from Trials to Target Populations
Towards Generalizing Inferences from Trials to Target Populations
Melody Y Huang
Harsh Parikh
27
2
0
26 Feb 2024
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An
  In-depth Empirical Analysis
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis
Andrea Maracani
Raffaello Camoriano
Elisa Maiettini
Davide Talon
Lorenzo Rosasco
Lorenzo Natale
42
1
0
25 Feb 2024
Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data
Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data
Majid Farhadloo
Arun Sharma
Jayant Gupta
Alexey A. Leontovich
Svetomir N. Markovic
Shashi Shekhar
26
4
0
22 Feb 2024
WhaleNet: a Novel Deep Learning Architecture for Marine Mammals
  Vocalizations on Watkins Marine Mammal Sound Database
WhaleNet: a Novel Deep Learning Architecture for Marine Mammals Vocalizations on Watkins Marine Mammal Sound Database
Alessandro Licciardi
Davide Carbone Politecnico di Torino
20
3
0
20 Feb 2024
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network
  Generation
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation
Yuan Yuan
Chenyang Shao
Jingtao Ding
Depeng Jin
Yong Li
AI4TS
AI4CE
48
18
0
19 Feb 2024
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on
  Graphs
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs
Shuhan Liu
Kaize Ding
OOD
29
5
0
17 Feb 2024
Robust agents learn causal world models
Robust agents learn causal world models
Jonathan G. Richens
Tom Everitt
OOD
122
36
0
16 Feb 2024
Efficient Language Adaptive Pre-training: Extending State-of-the-Art
  Large Language Models for Polish
Efficient Language Adaptive Pre-training: Extending State-of-the-Art Large Language Models for Polish
Szymon Ruciñski
36
5
0
15 Feb 2024
Subgraph Pooling: Tackling Negative Transfer on Graphs
Subgraph Pooling: Tackling Negative Transfer on Graphs
Zehong Wang
Zheyuan Zhang
Chuxu Zhang
Yanfang Ye
44
6
0
14 Feb 2024
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local
  Parameter Sharing
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing
Yongzhe Jia
Xuyun Zhang
Amin Beheshti
Wanchun Dou
FedML
24
5
0
13 Feb 2024
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and
  DINOv2 in Medical Imaging Classification
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification
Yuning Huang
Jingchen Zou
Lanxi Meng
Xin Yue
Qing Zhao
Jianqiang Li
Changwei Song
Gabriel Jimenez
Shaowu Li
Guanghui Fu
36
8
0
12 Feb 2024
Transfer learning with generative models for object detection on limited
  datasets
Transfer learning with generative models for object detection on limited datasets
Matteo Paiano
Stefano Martina
Carlotta Giannelli
Filippo Caruso
45
3
0
09 Feb 2024
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems
Clara Punzi
Roberto Pellungrini
Mattia Setzu
F. Giannotti
D. Pedreschi
25
5
0
09 Feb 2024
A Survey on Robotics with Foundation Models: toward Embodied AI
A Survey on Robotics with Foundation Models: toward Embodied AI
Zhiyuan Xu
Kun Wu
Junjie Wen
Jinming Li
Ning Liu
Zhengping Che
Jian Tang
AI4CE
LRM
LM&Ro
28
24
0
04 Feb 2024
Data Poisoning for In-context Learning
Data Poisoning for In-context Learning
Pengfei He
Han Xu
Yue Xing
Hui Liu
Makoto Yamada
Jiliang Tang
AAML
SILM
30
10
0
03 Feb 2024
Online Transfer Learning for RSV Case Detection
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
30
2
0
03 Feb 2024
On Catastrophic Inheritance of Large Foundation Models
On Catastrophic Inheritance of Large Foundation Models
Hao Chen
Bhiksha Raj
Xing Xie
Jindong Wang
AI4CE
56
12
0
02 Feb 2024
Cooperative Knowledge Distillation: A Learner Agnostic Approach
Cooperative Knowledge Distillation: A Learner Agnostic Approach
Michael J. Livanos
Ian Davidson
Stephen Wong
24
0
0
02 Feb 2024
Direct side information learning for zero-shot regression
Direct side information learning for zero-shot regression
Miriam Fdez-Díaz
E. Montañés
J. R. Quevedo
24
0
0
02 Feb 2024
Target inductive methods for zero-shot regression
Target inductive methods for zero-shot regression
Miriam Fdez-Díaz
J. R. Quevedo
E. Montañés
18
6
0
02 Feb 2024
Self-Supervised Contrastive Pre-Training for Multivariate Point
  Processes
Self-Supervised Contrastive Pre-Training for Multivariate Point Processes
Xiao Shou
D. Subramanian
D. Bhattacharjya
Tian Gao
Kristin P. Bennet
3DPC
SSL
6
0
0
01 Feb 2024
Control-Theoretic Techniques for Online Adaptation of Deep Neural
  Networks in Dynamical Systems
Control-Theoretic Techniques for Online Adaptation of Deep Neural Networks in Dynamical Systems
Jacob G. Elkins
F. Fahimi
AI4CE
24
0
0
01 Feb 2024
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in
  Open-Source Software
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software
Wenxin Jiang
Jerin Yasmin
Jason Jones
Nicholas Synovic
Jiashen Kuo
Nathaniel Bielanski
Yuan Tian
George K. Thiruvathukal
James C. Davis
41
11
0
01 Feb 2024
Graph Domain Adaptation: Challenges, Progress and Prospects
Graph Domain Adaptation: Challenges, Progress and Prospects
Boshen Shi
Yongqing Wang
Fangda Guo
Bingbing Xu
Huawei Shen
Xueqi Cheng
OOD
37
5
0
01 Feb 2024
Privacy and Security Implications of Cloud-Based AI Services : A Survey
Privacy and Security Implications of Cloud-Based AI Services : A Survey
Alka Luqman
Riya Mahesh
Anupam Chattopadhyay
30
2
0
31 Jan 2024
EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor
  Image Comprehension in Remote Sensing Domain
EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing Domain
Wei Zhang
Miaoxin Cai
Tong Zhang
Zhuang Yin
Xuerui Mao
30
88
0
30 Jan 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijiao Zhang
Jindong Han
Zhao Xu
Hang Ni
Hao Liu
Hui Xiong
Hui Xiong
AI4CE
77
15
0
30 Jan 2024
When Geoscience Meets Generative AI and Large Language Models:
  Foundations, Trends, and Future Challenges
When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges
Abdenour Hadid
Tanujit Chakraborty
Daniel Busby
AI4CE
32
11
0
25 Jan 2024
Weakly supervised covariance matrices alignment through Stiefel matrices
  estimation for MEG applications
Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications
Antoine Collas
Rémi Flamary
Alexandre Gramfort
11
2
0
24 Jan 2024
Beimingwu: A Learnware Dock System
Beimingwu: A Learnware Dock System
Zhi-Hao Tan
Jian-Dong Liu
Xiao-Dong Bi
Peng Tan
Qin-Cheng Zheng
Hai-Tian Liu
Yi Xie
Xiao-Chuan Zou
Yang Yu
Zhi-Hua Zhou
19
4
0
24 Jan 2024
Multi-Agent Based Transfer Learning for Data-Driven Air Traffic
  Applications
Multi-Agent Based Transfer Learning for Data-Driven Air Traffic Applications
Chuhao Deng
Hong Choi
Hyun-Soo Park
Inseok Hwang
AI4TS
16
1
0
23 Jan 2024
On the Utility of Probing Trajectories for Algorithm-Selection
On the Utility of Probing Trajectories for Algorithm-Selection
Quentin Renau
Emma Hart
35
6
0
23 Jan 2024
Cheap Learning: Maximising Performance of Language Models for Social
  Data Science Using Minimal Data
Cheap Learning: Maximising Performance of Language Models for Social Data Science Using Minimal Data
Leonardo Castro-Gonzalez
Yi-Ling Chung
Hannak Rose Kirk
John Francis
Angus R. Williams
Pica Johansson
Jonathan Bright
50
1
0
22 Jan 2024
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