Transferability in Deep Learning: A Survey

15 January 2022

Papers citing "Transferability in Deep Learning: A Survey"

50 / 52 papers shown

Title
TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Robert Leppich Michael Stenger Daniel Grillmeyer Vanessa Borst Samuel Kounev AI4TS AI4CE 62 0 0 26 Apr 2025
An Adaptive ML Framework for Power Converter Monitoring via Federated Transfer Learning Panagiotis Kakosimos Alireza Nemat Saberi Luca Peretti AI4CE 35 0 0 23 Apr 2025
GFT: Graph Foundation Model with Transferable Tree Vocabulary Zehong Wang Zheyuan Zhang Nitesh V. Chawla Chuxu Zhang Yanfang Ye 39 9 0 09 Nov 2024
BenTo: Benchmark Task Reduction with In-Context Transferability Hongyu Zhao Ming Li Lichao Sun Tianyi Zhou 33 0 0 17 Oct 2024
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities Yanis Lalou Théo Gnassounou Antoine Collas Antoine de Mathelin Oleksii Kachaiev Ambroise Odonnat Alexandre Gramfort Thomas Moreau Rémi Flamary 82 0 0 16 Jul 2024
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community Yan Liu Bin Guo Nuo Li Yasan Ding Zhouyangzi Zhang Zhiwen Yu 37 1 0 09 Jul 2024
MALSIGHT: Exploring Malicious Source Code and Benign Pseudocode for Iterative Binary Malware Summarization Haolang Lu Hongrui Peng Guoshun Nan Jiaoyang Cui Cheng Wang Weifei Jin 32 4 0 26 Jun 2024
Strategies for Pretraining Neural Operators Anthony Y. Zhou Cooper Lorsung AmirPouya Hemmasian Amir Barati Farimani AI4CE 34 4 0 12 Jun 2024
MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMs Georgios Chatzigeorgakidis Konstantinos Lentzos Dimitrios Skoutas AI4TS 41 3 0 23 May 2024
ADLDA: A Method to Reduce the Harm of Data Distribution Shift in Data Augmentation Haonan Wang 30 0 0 11 May 2024
Model Inversion Robustness: Can Transfer Learning Help? Sy-Tuyen Ho Koh Jun Hao Keshigeyan Chandrasegaran Ngoc-Bao Nguyen Ngai-man Cheung 40 8 0 09 May 2024
Which Model to Transfer? A Survey on Transferability Estimation Yuhe Ding Bo Jiang Aijing Yu Aihua Zheng Jian Liang 43 4 0 23 Feb 2024
GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion Xueyi Liu Li Yi DiffM 31 19 0 22 Feb 2024
Phrase Grounding-based Style Transfer for Single-Domain Generalized Object Detection Hao Li Wei Wang Cong Wang Zhigang Luo Xinwang Liu KenLi Li Xiaochun Cao ObjD 24 0 0 02 Feb 2024
A Survey of Graph Meets Large Language Model: Progress and Future Directions Yuhan Li Zhixun Li Peisong Wang Jia Li Xiangguo Sun Hongtao Cheng Jeffrey Xu Yu 30 54 0 21 Nov 2023
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation Zhiqing Xiao Haobo Wang Ying Jin Lei Feng Gang Chen Fei Huang Junbo Zhao 30 15 0 26 Oct 2023
CAD Models to Real-World Images: A Practical Approach to Unsupervised Domain Adaptation in Industrial Object Classification Dennis Ritter Mike Hemberger Marc Hönig Volker Stopp Erik Rodner Kristian Hildebrand 24 0 0 07 Oct 2023
Mitigating the Influence of Domain Shift in Skin Lesion Classification: A Benchmark Study of Unsupervised Domain Adaptation Methods on Dermoscopic Images Sireesha Chamarthi Katharina Fogelberg Roman C. Maron T. Brinker Julia Niebling OOD 26 0 0 05 Oct 2023
EdaDet: Open-Vocabulary Object Detection Using Early Dense Alignment Cheng Shi Sibei Yang VLM ObjD 36 38 0 03 Sep 2023
Unimodal Intermediate Training for Multimodal Meme Sentiment Classification Muzhaffar Hazman Susan Mckeever Josephine Griffith 27 1 0 01 Aug 2023
Prediction of COVID-19 Patients' Emergency Room Revisit using Multi-Source Transfer Learning Yuelyu Ji Yuhe Gao Runxue Bao Qi Li Di Liu Yiming Sun Ye Ye OOD 22 19 0 29 Jun 2023
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy Elan Rosenfeld Saurabh Garg UQCV 30 4 0 01 Jun 2023
Efficient ConvBN Blocks for Transfer Learning and Beyond Kaichao You Guo Qin Anchang Bao Mengsi Cao Ping-Chia Huang Jiulong Shan Mingsheng Long 23 1 0 19 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation Tianxiang Hao Hui Chen Yuchen Guo Guiguang Ding 42 16 0 30 Apr 2023
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models Korawat Tanwisuth Shujian Zhang Huangjie Zheng Pengcheng He Mingyuan Zhou VLM VPVLM 86 28 0 29 Apr 2023
Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond Ensheng Shi Yanlin Wang Hongyu Zhang Lun Du Shi Han Dongmei Zhang Hongbin Sun 28 42 0 11 Apr 2023
Identification of Negative Transfers in Multitask Learning Using Surrogate Models Dongyue Li Huy Le Nguyen Hongyang R. Zhang 34 12 0 25 Mar 2023
Diffusion-based Target Sampler for Unsupervised Domain Adaptation Yulong Zhang Shuhao Chen Yu Zhang Jiangang Lu DiffM 34 0 0 17 Mar 2023
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation Hui Tang K. Jia OOD 26 13 0 16 Mar 2023
Self-Paced Learning for Open-Set Domain Adaptation Xinghong Liu Yi Zhou Tao Zhou Jie Qin Shengcai Liao TTA 21 3 0 10 Mar 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift Saurabh Garg Nick Erickson James Sharpnack Alexander J. Smola Sivaraman Balakrishnan Zachary Chase Lipton VLM 28 31 0 06 Feb 2023
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling Jiaxiang Dong Haixu Wu Haoran Zhang Li Zhang Jianmin Wang Mingsheng Long AI4TS 23 82 0 02 Feb 2023
Solving High-Dimensional PDEs with Latent Spectral Models Haixu Wu Tengge Hu Huakun Luo Jianmin Wang Mingsheng Long AI4CE 57 37 0 30 Jan 2023
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning Junguang Jiang Baixu Chen Junwei Pan Ximei Wang Liu Dapeng Jie Jiang Mingsheng Long MoMe 24 19 0 30 Jan 2023
Fair Generative Models via Transfer Learning Christopher T. H. Teo Milad Abdollahzadeh Ngai-man Cheung 19 24 0 02 Dec 2022
Rethinking Two Consensuses of the Transferability in Deep Learning Yixiong Chen Jingxia Li C. Ding Li Liu 19 2 0 01 Dec 2022
Adversarial Lagrangian Integrated Contrastive Embedding for Limited Size Datasets Amin Jalali Minho Lee 16 8 0 06 Oct 2022
A Survey of Learning on Small Data: Generalization, Optimization, and Challenge Xiaofeng Cao Weixin Bu Sheng-Jun Huang Minling Zhang Ivor W. Tsang Yew-Soon Ong James T. Kwok 30 1 0 29 Jul 2022
Deep transfer learning for image classification: a survey J. Plested Tom Gedeon OOD 22 36 0 20 May 2022
Selective Cross-Task Distillation Su Lu Han-Jia Ye De-Chuan Zhan 23 0 0 25 Apr 2022
Enabling All In-Edge Deep Learning: A Literature Review Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 21 22 0 07 Apr 2022
Debiased Self-Training for Semi-Supervised Learning Baixu Chen Junguang Jiang Ximei Wang Pengfei Wan Jianmin Wang Mingsheng Long 24 85 0 15 Feb 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 302 7,434 0 11 Nov 2021
Decoupled Adaptation for Cross-Domain Object Detection Junguang Jiang Baixu Chen Jianmin Wang Mingsheng Long ObjD 56 64 0 06 Oct 2021
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning Runxin Xu Fuli Luo Zhiyuan Zhang Chuanqi Tan Baobao Chang Songfang Huang Fei Huang LRM 143 178 0 13 Sep 2021
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,587 0 21 Jan 2020
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models Cheolhyoung Lee Kyunghyun Cho Wanmo Kang MoE 235 205 0 25 Sep 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 172 639 0 19 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,950 0 20 Apr 2018