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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
A Lightweight Measure of Classification Difficulty from Application Dataset Characteristics Bryan Bo Cao Abhinav Sharma Lawrence O'Gorman Michael J. Coss Shubham Jain 97 2 0 09 Apr 2024
Class Similarity Transition: Decoupling Class Similarities and Imbalance from Generalized Few-shot Segmentation Shihong Wang Ruixun Liu Kaiyu Li Jiawei Jiang Xiangyong Cao 83 2 0 08 Apr 2024
Few-Shot Object Detection: Research Advances and Challenges Zhimeng Xin Shiming Chen Tianxu Wu Yuanjie Shao Weiping Ding Xinge You ObjD 125 26 0 07 Apr 2024
Transfer learning applications for anomaly detection in wind turbines C. Roelofs Christian Gück S. Faulstich 119 3 0 03 Apr 2024
A Deep Learning-based Pest Insect Monitoring System for Ultra-low Power Pocket-sized Drones Luca Crupi L. Butera Alberto Ferrante Daniele Palossi 51 2 0 02 Apr 2024
Transfer Learning with Reconstruction Loss Wei Cui Wei Yu 109 2 0 31 Mar 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 79 7 0 28 Mar 2024
Safe and Robust Reinforcement Learning: Principles and Practice Taku Yamagata Raúl Santos-Rodríguez OffRL 104 2 0 27 Mar 2024
Inverse kinematics learning of a continuum manipulator using limited real time data Alok Ranjan Sahoo Pavan Chakraborty AI4CE 50 0 0 27 Mar 2024
A Hybrid Approach To Aspect Based Sentiment Analysis Using Transfer Learning Gaurav Negi Rajdeep Sarkar Omnia Zayed P. Buitelaar 49 5 0 25 Mar 2024
Knowledge-guided Machine Learning: Current Trends and Future Prospects Anuj Karpatne X. Jia Vipin Kumar 105 12 0 24 Mar 2024
Learning to Project for Cross-Task Knowledge Distillation Dylan Auty Roy Miles Benedikt Kolbeinsson K. Mikolajczyk 95 0 0 21 Mar 2024
Arcee's MergeKit: A Toolkit for Merging Large Language Models Charles Goddard Shamane Siriwardhana Malikeh Ehghaghi Luke Meyers Vladimir Karpukhin Brian Benedict Mark McQuade Jacob Solawetz MoMe KELM 192 103 0 20 Mar 2024
A Survey of Machine Learning for Estimating Workload: Considering Unknown Tasks Josh Bhagat Smith Julie A. Adams 103 0 0 20 Mar 2024
Transfer Learning Beyond Bounded Density Ratios Alkis Kalavasis Ilias Zadik Manolis Zampetakis 105 5 0 18 Mar 2024
On the low-shot transferability of [V]-Mamba Diganta Misra Jay Gala Antonio Orvieto Mamba 117 1 0 15 Mar 2024
Few-Shot Image Classification and Segmentation as Visual Question Answering Using Vision-Language Models Tian Meng Yang Tao Ruilin Lyu Wuliang Yin VLM 86 1 0 15 Mar 2024
Regularization-Based Efficient Continual Learning in Deep State-Space Models Yuanhang Zhang Zhidi Lin Yiyong Sun Feng Yin Carsten Fritsche CLL 73 2 0 15 Mar 2024
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 82 7 0 14 Mar 2024
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 130 4 0 13 Mar 2024
Cross-user activity recognition using deep domain adaptation with temporal relation information Xiaozhou Ye Waleed H. Abdulla Nirmal Nair Kevin I-Kai Wang 75 2 0 12 Mar 2024
Machine Learning Techniques for Sensor-based Human Activity Recognition with Data Heterogeneity -- A Review Xiaozhou Ye Kouichi Sakurai Nirmal Nair Kevin I-Kai Wang 123 10 0 12 Mar 2024
Measuring Data Similarity for Efficient Federated Learning: A Feasibility Study Fernanda Famá Charalampos Kalalas Sandra Lagen Paolo Dini FedML 95 3 0 12 Mar 2024
Pre-Trained Model Recommendation for Downstream Fine-tuning Jiameng Bai Sai Wu Mingli Song Junbo Zhao Gang Chen 122 3 0 11 Mar 2024
Towards In-Vehicle Multi-Task Facial Attribute Recognition: Investigating Synthetic Data and Vision Foundation Models Esmaeil Seraj Walter Talamonti 54 0 0 10 Mar 2024
Active Generalized Category Discovery Shijie Ma Fei Zhu Zhun Zhong Xu-Yao Zhang Cheng-Lin Liu 77 18 0 07 Mar 2024
On Transfer in Classification: How Well do Subsets of Classes Generalize? Raphael Baena Lucas Drumetz Vincent Gripon 80 0 0 06 Mar 2024
Training Machine Learning models at the Edge: A Survey Aymen Rayane Khouas Mohamed Reda Bouadjenek Hakim Hacid Sunil Aryal 113 12 0 05 Mar 2024
A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder Kedi Chen Jie Zhou Qin Chen Shunyu Liu Liang He 99 2 0 01 Mar 2024
Automated Testing of Spatially-Dependent Environmental Hypotheses through Active Transfer Learning Nicholas Harrison Nathan D. Wallace Salah Sukkarieh 32 1 0 28 Feb 2024
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 74 0 0 27 Feb 2024
Towards Generalizing Inferences from Trials to Target Populations Melody Y Huang Harsh Parikh 65 2 0 26 Feb 2024
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 76 1 0 25 Feb 2024
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 174 5 0 22 Feb 2024
WhaleNet: a Novel Deep Learning Architecture for Marine Mammals Vocalizations on Watkins Marine Mammal Sound Database Alessandro Licciardi Davide Carbone Politecnico di Torino 78 4 0 20 Feb 2024
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation Yuan Yuan Chenyang Shao Jingtao Ding Depeng Jin Yong Li AI4TS AI4CE 124 20 0 19 Feb 2024
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs Shuhan Liu Kaize Ding OOD 84 6 0 17 Feb 2024
Robust agents learn causal world models Jonathan G. Richens Tom Everitt OOD 189 46 0 16 Feb 2024
Efficient Language Adaptive Pre-training: Extending State-of-the-Art Large Language Models for Polish Szymon Ruciñski 85 5 0 15 Feb 2024
Subgraph Pooling: Tackling Negative Transfer on Graphs Zehong Wang Zheyuan Zhang Chuxu Zhang Yanfang Ye 106 10 0 14 Feb 2024
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing Yongzhe Jia Xuyun Zhang Amin Beheshti Wanchun Dou FedML 63 6 0 13 Feb 2024
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 111 13 0 12 Feb 2024
Transfer learning with generative models for object detection on limited datasets Matteo Paiano Stefano Martina Carlotta Giannelli Filippo Caruso 74 5 0 09 Feb 2024
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems Clara Punzi Roberto Pellungrini Mattia Setzu F. Giannotti D. Pedreschi 95 6 0 09 Feb 2024
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 96 29 0 04 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 75 2 0 03 Feb 2024
Data Poisoning for In-context Learning Pengfei He Han Xu Yue Xing Hui Liu Makoto Yamada Jiliang Tang SILM AAML 102 13 0 03 Feb 2024
On Catastrophic Inheritance of Large Foundation Models Hao Chen Bhiksha Raj Xing Xie Jindong Wang AI4CE 135 13 0 02 Feb 2024
Cooperative Knowledge Distillation: A Learner Agnostic Approach Michael J. Livanos Ian Davidson Stephen Wong 54 0 0 02 Feb 2024
Direct side information learning for zero-shot regression Miriam Fdez-Díaz E. Montañés J. R. Quevedo 72 0 0 02 Feb 2024