Meta-Transfer Learning for Few-Shot Learning

6 December 2018

Bernt Schiele

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

50 / 408 papers shown

Title
Partitioned Memory Storage Inspired Few-Shot Class-Incremental learning Renye Zhang Yimin Yin Jinghua Zhang CLL 50 0 0 29 Apr 2025
CAMeL: Cross-modality Adaptive Meta-Learning for Text-based Person Retrieval Hang Yu Jiahao Wen Zhedong Zheng 46 0 0 26 Apr 2025
Chain-of-Thought Textual Reasoning for Few-shot Temporal Action Localization Hongwei Ji Wulian Yun Mengshi Qi Huadong Ma LRM 108 0 0 18 Apr 2025
MetaDSE: A Few-shot Meta-learning Framework for Cross-workload CPU Design Space Exploration Runzhen Xue Hao Wu Mingyu Yan Ziheng Xiao Xiaochun Ye Dongrui Fan 21 0 0 18 Apr 2025
Logits DeConfusion with CLIP for Few-Shot Learning Shuo Li F. Liu Zehua Hao X. Wang Lingling Li X. Liu Puhua Chen Wenping Ma VLM 47 0 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 30 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 34 0 0 31 Mar 2025
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models Y. Cai Ziqi Zhang Ding Li Yao Guo Xiangqun Chen 48 0 0 13 Mar 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 118 1 0 10 Mar 2025
Active Few-Shot Learning for Text Classification Saeed Ahmadnia Arash Yousefi Jordehi Mahsa Hosseini Khasheh Heyran Seyed Abolghasem Mirroshandel Owen Rambow Cornelia Caragea 58 0 0 26 Feb 2025
CVOCSemRPL: Class-Variance Optimized Clustering, Semantic Information Injection and Restricted Pseudo Labeling based Improved Semi-Supervised Few-Shot Learning Rhythm Baghel Souvik Maji Pratik Mazumder 31 0 0 24 Jan 2025
CPT: Competence-progressive Training Strategy for Few-shot Node Classification Qilong Yan Yufeng Zhang Jinghao Zhang Jingpu Duan Jian Yin 47 0 0 03 Jan 2025
Multi-Level Correlation Network For Few-Shot Image Classification Yunkai Dang M. Zhang Zhengyu Chen Xinliang Zhang Zheng Wang Meijun Sun Donglin Wang 86 1 0 04 Dec 2024
Transforming Game Play: A Comparative Study of DCQN and DTQN Architectures in Reinforcement Learning William A. Stigall 45 0 0 14 Oct 2024
AgMTR: Agent Mining Transformer for Few-shot Segmentation in Remote Sensing Hanbo Bi Yingchao Feng Yongqiang Mao Jianning Pei Wenhui Diao Hongqi Wang Xian Sun ViT 23 4 0 26 Sep 2024
Learning with Shared Representations: Statistical Rates and Efficient Algorithms Xiaochun Niu Lili Su Jiaming Xu Pengkun Yang FedML 21 0 0 07 Sep 2024
Contrastive Learning-based User Identification with Limited Data on Smart Textiles Yunkang Zhang Ziyu Wu Zhen Liang Fangting Xie Quan Wan Mingjie Zhao Xiaohui Cai 25 0 0 06 Sep 2024
WarpAdam: A new Adam optimizer based on Meta-Learning approach Chengxi Pan Junshang Chen Jingrui Ye ODL 18 0 0 06 Sep 2024
LeMON: Learning to Learn Multi-Operator Networks Jingmin Sun Zecheng Zhang Hayden Schaeffer 36 5 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 21 0 0 04 Aug 2024
Joint Neural Networks for One-shot Object Recognition and Detection Camilo Vargas Qianni Zhang E. Izquierdo ObjD VLM 32 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 27 1 0 24 Jun 2024
Learning from Exemplars for Interactive Image Segmentation Kun Li Hao Cheng G. Vosselman Michael Ying Yang VLM 34 1 0 17 Jun 2024
Automatic Domain Adaptation by Transformers in In-Context Learning Ryuichiro Hataya Kota Matsui Masaaki Imaizumi 32 1 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 35 3 0 20 May 2024
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation Min Zhang Haoxuan Li Fei Wu Kun Kuang OODD 19 12 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 28 0 0 25 Apr 2024
Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation Alican Mertan Nick Cheney 32 0 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 Wenyuan Xu AAML 34 6 0 19 Apr 2024
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis Yufan Li Subhabrata Sen Ben Adlam MLT 41 1 0 18 Apr 2024
Few-shot Online Anomaly Detection and Segmentation Shenxing Wei Xing Wei Zhiheng Ma Songlin Dong Shaochen Zhang Yihong Gong 33 8 0 27 Mar 2024
Query-guided Prototype Evolution Network for Few-Shot Segmentation Runmin Cong Hang Xiong Jinpeng Chen Wei Zhang Qingming Huang Yao Zhao 49 13 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 21 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 25 0 0 06 Mar 2024
Few-shot Learner Parameterization by Diffusion Time-steps Zhongqi Yue Pan Zhou Richang Hong Hanwang Zhang Qianru Sun 36 11 0 05 Mar 2024
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation Yunwei Bai Ying Kiat Tan Tsuhan Chen 35 0 0 28 Feb 2024
Vision-Based Hand Gesture Customization from a Single Demonstration Soroush Shahi Cori Tymoszek Park Richard Kang Asaf Liberman Oron Levy Jun Gong Abdelkareem Bedri Gierad Laput 6 2 0 13 Feb 2024
Cross-Domain Few-Shot Learning via Adaptive Transformer Networks Naeem Paeedeh Mahardhika Pratama M. A. Ma'sum Wolfgang Mayer Zehong Cao Ryszard Kowlczyk 26 9 0 25 Jan 2024
AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space A. Mottaghi Mohammad Abdullah Jamal Serena Yeung Omid Mohareri 20 0 0 23 Jan 2024
Challenge design roadmap Hugo Jair Escalante Isabelle M Guyon Addison Howard Walter Reade Sébastien Treguer AI4TS 13 0 0 15 Jan 2024
Self Supervised Vision for Climate Downscaling Karandeep Singh Chaeyoon Jeong Naufal Shidqi Sungwon Park A. Nellikkattil Elke Zeller Meeyoung Cha AI4Cl 23 0 0 09 Jan 2024
Marginal Debiased Network for Fair Visual Recognition Mei Wang Weihong Deng Sen Su 33 0 0 04 Jan 2024
A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels Dana Cohen Hochberg H. Greenspan Raja Giryes 22 11 0 26 Dec 2023
Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling Jie Han Yixiong Zou Haozhao Wang Jun Wang Wei Liu Yao Wu Tao Zhang Ruixuan Li VLM 20 0 0 21 Dec 2023
Improving Cross-domain Few-shot Classification with Multilayer Perceptron Shuanghao Bai Wanqi Zhou Zhirong Luan Donglin Wang Badong Chen 6 4 0 15 Dec 2023
Improving the performance of weak supervision searches using transfer and meta-learning H. Beauchesne Zong-En Chen Cheng-Wei Chiang 10 8 0 11 Dec 2023
Transformer as Linear Expansion of Learngene Shiyu Xia Miaosen Zhang Xu Yang Ruiming Chen Haokun Chen Xin Geng 35 6 0 09 Dec 2023
MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction Luojun Lin Zhifeng Shen Jia-Li Yin Qipeng Liu Yuanlong Yu Weijie Chen CVBM 14 4 0 23 Nov 2023
Few-Shot Classification & Segmentation Using Large Language Models Agent Tian Meng Yang Tao Wuliang Yin VLM 28 1 0 19 Nov 2023
Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation Chenwei Tang Wenqiang Zhou Dong Wang Caiyang Yu Zhenan He ... Shudong Huang Yi Gao Jianming Chen Wentao Feng Jiancheng Lv AI4CE 25 0 0 07 Nov 2023