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Meta-Transfer Learning for Few-Shot Learning

6 December 2018

Bernt Schiele

Papers citing "Meta-Transfer Learning for Few-Shot Learning"

50 / 419 papers shown

Title
Toward Better Generalization in Few-Shot Learning through the Meta-Component Combination Qiuhao Zeng 94 0 0 07 Nov 2025
Enhancing Few-Shot Classification of Benchmark and Disaster Imagery with ATTBHFA-Net G. Lee Tanmoy Dam Md Meftahul Ferdaus Daniel Puiu Poenar Vu N. Duong 101 0 0 21 Oct 2025
PointMAC: Meta-Learned Adaptation for Robust Test-Time Point Cloud Completion Linlian Jiang Rui Ma Li Gu Ziqiang Wang Xinxin Zuo Yang Wang 3DPC 124 0 0 11 Oct 2025
Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation Xiaofeng Cao Mingwei Xu Xin Yu Jiangchao Yao Wei Ye ... Minling Zhang Ivor Tsang Yew-Soon Ong James T. Kwok Heng Tao Shen 144 3 0 10 Oct 2025
MetaChest: Generalized few-shot learning of pathologies from chest X-rays Berenice Montalvo-Lezama Gibran Fuentes-Pineda 124 0 0 29 Sep 2025
Hyperbolic Coarse-to-Fine Few-Shot Class-Incremental Learning Jiaxin Dai Xiang Xiang 76 0 0 23 Sep 2025
Stochastic-based Patch Filtering for Few-Shot Learning Javier Rodenas Eduardo Aguilar Petia Radeva 52 0 0 13 Aug 2025
Slot Attention-based Feature Filtering for Few-Shot Learning Javier Rodenas Eduardo Aguilar Petia Radeva 88 0 0 13 Aug 2025
Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning Tianjiao Jiang Zhen Zhang Y. Liu J. Q. Shi 165 1 0 05 Aug 2025
Efficient Masked Attention Transformer for Few-Shot Classification and Segmentation Dustin Carrión-Ojeda Stefan Roth Simone Schaub-Meyer 135 0 0 31 Jul 2025
MetaLab: Few-Shot Game Changer for Image Recognition Chaofei Qi Zhitai Liu Jianbin Qiu 138 0 0 29 Jul 2025
Few-Shot Learning in Video and 3D Object Detection: A Survey Md Meftahul Ferdaus Kendall N. Niles Joe Tom Mahdi Abdelguerfi Elias Ioup 3DPC 141 1 0 22 Jul 2025
CPT: Competence-progressive Training Strategy for Few-shot Node Classification Qilong Yan Yufeng Zhang Jinghao Zhang Jingpu Duan Jian Yin 610 0 0 01 Jul 2025
Prompt Tuning Vision Language Models with Margin Regularizer for Few-Shot Learning under Distribution Shifts Debarshi Brahma Anuska Roy Soma Biswas VLM 342 0 0 21 May 2025
CLIP-aware Domain-Adaptive Super-Resolution Zhengyang Lu Qian Xia Weifan Wang Feng Wang SupR 262 2 0 18 May 2025
Partitioned Memory Storage Inspired Few-Shot Class-Incremental learning Renye Zhang Yimin Yin Jinghua Zhang CLL 209 0 0 29 Apr 2025
CAMeL: Cross-modality Adaptive Meta-Learning for Text-based Person RetrievalIEEE Transactions on Information Forensics and Security (TIFS), 2025 Hang Yu Jiahao Wen Zhedong Zheng 302 7 0 26 Apr 2025
MetaDSE: A Few-shot Meta-learning Framework for Cross-workload CPU Design Space ExplorationDesign Automation Conference (DAC), 2025 Runzhen Xue Hao Wu Yurui Lai Ziheng Xiao Mingyu Yan Xiaochun Ye 246 1 0 18 Apr 2025
Chain-of-Evidence Multimodal Reasoning for Few-shot Temporal Action Localization Hongwei Ji Wulian Yun Mengshi Qi Huadong Ma Huadong Ma LRM 820 0 0 18 Apr 2025
Logits DeConfusion with CLIP for Few-Shot LearningComputer Vision and Pattern Recognition (CVPR), 2025 Shuo Li Fan Liu Zehua Hao Xingyu Wang Lingling Li Xianglong Liu Puhua Chen Wenping Ma VLM 240 3 0 16 Apr 2025
FSSUWNet: Mitigating the Fragility of Pre-trained Models with Feature Enhancement for Few-Shot Semantic Segmentation in Underwater Images Zhuohao Li Zhicheng Huang Wenchao Liu Zhuxing Zhang Jianming Miao 280 0 0 01 Apr 2025
MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices Sijia Li Young D. Kwon Lik-Hang Lee Pan Hui 247 0 0 31 Mar 2025
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous ModelsProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2025 Y. Cai Ziqi Zhang Ding Li Yao Guo Xiangqun Chen 416 0 0 13 Mar 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 989 35 0 10 Mar 2025
Active Few-Shot Learning for Text ClassificationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2025 Saeed Ahmadnia Arash Yousefi Jordehi Mahsa Hosseini Khasheh Heyran Seyed Abolghasem Mirroshandel Owen Rambow Cornelia Caragea 195 6 0 26 Feb 2025
Semantic-Anchored, Class Variance-Optimized Clustering for Robust Semi-Supervised Few-Shot Learning Rhythm Baghel Souvik Maji Pratik Mazumder 295 0 0 24 Jan 2025
Multi-Level Correlation Network For Few-Shot Image ClassificationIEEE International Conference on Multimedia and Expo (ICME), 2023 Yunkai Dang Hao Fei Ruihao Zhang Xinliang Zhang Zheng Wang Meijun Sun Donglin Wang 328 3 0 04 Dec 2024
Hierarchical Multi-agent Reinforcement Learning for Cyber Network DefenseAdaptive Agents and Multi-Agent Systems (AAMAS), 2024 Aditya Vikram Singh Ethan Rathbun Emma Graham Lisa Oakley Simona Boboila Alina Oprea Peter Chin AAML 238 13 0 22 Oct 2024
Transforming Game Play: A Comparative Study of DCQN and DTQN Architectures in Reinforcement Learning William A. Stigall 263 1 0 14 Oct 2024
AgMTR: Agent Mining Transformer for Few-shot Segmentation in Remote SensingInternational Journal of Computer Vision (IJCV), 2024 Hanbo Bi Yingchao Feng Yongqiang Mao Jianning Pei Wenhui Diao Hongqi Wang Xian Sun ViT 205 14 0 26 Sep 2024
Persistent Backdoor Attacks in Continual Learning Zhen Guo Abhinav Kumar R. Tourani AAML 294 7 0 20 Sep 2024
Learning with Shared Representations: Statistical Rates and Efficient Algorithms Xiaochun Niu Lili Su Jiaming Xu Pengkun Yang FedML 353 2 0 07 Sep 2024
Contrastive Learning-based User Identification with Limited Data on Smart TextilesIEEE International Conference on Systems, Man and Cybernetics (SMC), 2024 Yunkang Zhang Ziyu Wu Zhen Liang Fangting Xie Quan Wan Mingjie Zhao Xiaohui Cai 151 1 0 06 Sep 2024
WarpAdam: A new Adam optimizer based on Meta-Learning approach Chengxi Pan Junshang Chen Jingrui Ye ODL 127 1 0 06 Sep 2024
LeMON: Learning to Learn Multi-Operator Networks Jingmin Sun Zecheng Zhang Hayden Schaeffer 369 9 0 28 Aug 2024
MetaWearS: A Shortcut in Wearable Systems Lifecycle with Only a Few Shots Alireza Amirshahi Maedeh H.Toosi Siamak Mohammadi Stefano Albini Pasquale Davide Schiavone G. Ansaloni A. Aminifar David Atienza 103 3 0 04 Aug 2024
Joint Neural Networks for One-shot Object Recognition and Detection Camilo Vargas Qianni Zhang E. Izquierdo ObjD VLM 215 0 0 01 Aug 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting Tiange Zhang Qing Cai Feng Gao Lin Qi Junyu Dong 246 10 0 24 Jun 2024
Learning from Exemplars for Interactive Image Segmentation Kun Li Hao Cheng G. Vosselman Michael Ying Yang VLM 154 3 0 17 Jun 2024
Automatic Domain Adaptation by Transformers in In-Context Learning Ryuichiro Hataya Kota Matsui Masaaki Imaizumi 174 5 0 27 May 2024
Layout Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST) Megha Thukral Sourish Gunesh Dhekane S. Hiremath H. Haresamudram Thomas Ploetz 169 14 0 20 May 2024
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation Min Zhang Haoxuan Li Leilei Gan Kun Kuang OODD 240 18 0 30 Apr 2024
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution Zeynep Özdemir H. Keles Ö. Ö. Tanriöver 173 3 0 25 Apr 2024
Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation Alican Mertan Nick Cheney 228 4 0 22 Apr 2024
SOPHON: Non-Fine-Tunable Learning to Restrain Task Transferability For Pre-trained Models Jiangyi Deng Shengyuan Pang Yanjiao Chen Liangming Xia Yijie Bai Haiqin Weng Wei Dong AAML 242 15 0 19 Apr 2024
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis Yufan Li Subhabrata Sen Ben Adlam MLT 385 2 0 18 Apr 2024
Few-shot Online Anomaly Detection and Segmentation Shenxing Wei Xing Wei Zhiheng Ma Songlin Dong Shaochen Zhang Yihong Gong 268 13 0 27 Mar 2024
Query-guided Prototype Evolution Network for Few-Shot SegmentationIEEE transactions on multimedia (IEEE TMM), 2024 Runmin Cong Hang Xiong Jinpeng Chen Wei Zhang Qingming Huang Yao Zhao 182 28 0 11 Mar 2024
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications Minyang Hu Hong Chang Zong Guo Bingpeng Ma Shiguang Shan Xilin Chen VLM 317 1 0 06 Mar 2024
Boosting Meta-Training with Base Class Information for Few-Shot Learning Weihao Jiang Guodong Liu Di He Kun He CLL 235 1 0 06 Mar 2024