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
Deep Learning for Spatiotemporal Big Data: A Vision on Opportunities and Challenges Zhe Jiang 11 0 0 30 Oct 2023
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models Pierre Colombo Victor Pellegrain Malik Boudiaf Victor Storchan Myriam Tami Ismail Ben Ayed C´eline Hudelot Pablo Piantanida 30 8 0 21 Oct 2023
Unsupervised Representation Learning to Aid Semi-Supervised Meta Learning Atik Faysal Mohammad Rostami Huaxia Wang Avimanyu Sahoo Ryan Antle 11 0 0 19 Oct 2023
New Environment Adaptation with Few Shots for OFDM Receiver and mmWave Beamforming Ouya Wang Shenglong Zhou Geoffrey Ye Li 13 4 0 18 Oct 2023
Subspace Adaptation Prior for Few-Shot Learning Mike Huisman Aske Plaat Jan N. van Rijn VLM 24 2 0 13 Oct 2023
ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection Zhimeng Xin Tianxu Wu Shiming Chen Yixiong Zou Ling Shao Xinge You 26 4 0 15 Sep 2023
MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces Zhicun Yin Ming-Yu Liu Xiaoming Li Hui Yang Longan Xiao W. Zuo 3DH 27 6 0 15 Sep 2023
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions Tianxu Wu Shuo Ye Shuhuang Chen Qinmu Peng Xinge You DiffM 23 3 0 15 Sep 2023
Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data Seunghan Yang Byeonggeun Kim Kyuhong Shim Simyoung Chang 22 1 0 31 Aug 2023
Unleash Model Potential: Bootstrapped Meta Self-supervised Learning Jingyao Wang Zeen Song Wenwen Qiang Changwen Zheng SSL 14 1 0 28 Aug 2023
Improved Region Proposal Network for Enhanced Few-Shot Object Detection Zeyu Shangguan Mohammad Rostami ObjD 23 11 0 15 Aug 2023
A Sequential Meta-Transfer (SMT) Learning to Combat Complexities of Physics-Informed Neural Networks: Application to Composites Autoclave Processing Milad Ramezankhani A. Milani PINN 21 4 0 12 Aug 2023
M $^3$ Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition Hao Tang Jun Liu Shuanglin Yan Rui Yan Zechao Li Jinhui Tang 19 37 0 06 Aug 2023
Meta-learning in healthcare: A survey Alireza Rafiei Ronald Moore S. Jahromi F. Hajati Rishikesan Kamaleswaran 17 8 0 05 Aug 2023
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation Kai Zheng Huishuai Zhang Weiran Huang 11 4 0 28 Jul 2023
Training-based Model Refinement and Representation Disagreement for Semi-Supervised Object Detection S. M. Marvasti-Zadeh Nilanjan Ray Nadir Erbilgin 12 1 0 25 Jul 2023
SINC: Self-Supervised In-Context Learning for Vision-Language Tasks Yi-Syuan Chen Yun-Zhu Song Cheng Yu Yeo Bei Liu Jianlong Fu Hong-Han Shuai VLM LRM 24 4 0 15 Jul 2023
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation Ruijiang Dong Feng Liu Haoang Chi Tongliang Liu Mingming Gong Gang Niu Masashi Sugiyama Bo Han 19 5 0 12 Jul 2023
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models? Zihao Jiang Yunkai Dang Dong Pang Huishuai Zhang Weiran Huang VLM 26 2 0 09 Jul 2023
Federated Few-shot Learning Song Wang Xingbo Fu Kaize Ding Chen Chen Huiyuan Chen Jundong Li FedML 42 22 0 17 Jun 2023
FewSAR: A Few-shot SAR Image Classification Benchmark Rui Zhang Ziqi Wang Y. Li Jiabao Wang Zhiteng Wang 20 1 0 16 Jun 2023
Chart2Vec: A Universal Embedding of Context-Aware Visualizations Qing Chen Ying Chen Ruishi Zou Wei Shuai Yi Guo Jiazhe Wang Nana Cao 20 3 0 14 Jun 2023
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning Yingjun Du Jiayi Shen Xiantong Zhen Cees G. M. Snoek 19 1 0 08 Jun 2023
Epistemic Graph: A Plug-And-Play Module For Hybrid Representation Learning Jin Yuan Yang Zhang Yangzhou Du Zhongchao Shi Xin Geng Jianping Fan Yong Rui 14 0 0 30 May 2023
Representation Transfer Learning via Multiple Pre-trained models for Linear Regression Navjot Singh Suhas Diggavi 34 1 0 25 May 2023
MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition Xinyu Gong S. Mohan Naina Dhingra Jean-Charles Bazin Yilei Li Zhangyang Wang Rakesh Ranjan EgoV 54 17 0 12 May 2023
Glocal Energy-based Learning for Few-Shot Open-Set Recognition Haoyu Wang Guansong Pang Peng Wang Lei Zhang Wei Wei Yanning Zhang 8 12 0 24 Apr 2023
Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition Yanan Wu Songhe Feng Yang Wang 21 10 0 21 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 33 0 0 13 Apr 2023
APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP Mainak Singha Ankit Jha Bhupendra S. Solanki Shirsha Bose Biplab Banerjee VLM 19 27 0 12 Apr 2023
MASIL: Towards Maximum Separable Class Representation for Few Shot Class Incremental Learning Anant Khandelwal CLL 14 0 0 08 Apr 2023
Learning to Recover Spectral Reflectance from RGB Images Dong Huo Jian Wang Yiming Qian Yee-Hong Yang 16 0 0 04 Apr 2023
VGTS: Visually Guided Text Spotting for Novel Categories in Historical Manuscripts Wenjie Hu Hongjian Zhan Xinchen Ma Cong Liu Bing Yin Yue Lu 14 0 0 03 Apr 2023
Few-Shot Domain Adaptation for Low Light RAW Image Enhancement K. Prabhakar Vishal Vinod N. Sahoo Venkatesh Babu Radhakrishnan 14 7 0 27 Mar 2023
Class-Incremental Exemplar Compression for Class-Incremental Learning Zilin Luo Yaoyao Liu Bernt Schiele Qianru Sun VLM CLL 73 44 0 24 Mar 2023
SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization Yi-Syuan Chen Yun-Zhu Song Hong-Han Shuai 33 6 0 24 Mar 2023
Efficient Computation Sharing for Multi-Task Visual Scene Understanding Sara Shoouri Mingyu Yang Zichen Fan Hun-Seok Kim MoE 21 3 0 16 Mar 2023
Meta-learning approaches for few-shot learning: A survey of recent advances Hassan Gharoun Fereshteh Momenifar Fang Chen Amir H. Gandomi OOD VLM 44 43 0 13 Mar 2023
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning Min Zhang Zifeng Zhuang Zhitao Wang Donglin Wang Wen-Bin Li 46 5 0 12 Mar 2023
Multi-Content Interaction Network for Few-Shot Segmentation Hao Chen Yunlong Yu Yonghan Dong Zhe-Ming Lu Yingming Li Zhongfei Zhang 19 3 0 11 Mar 2023
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization Jun S. Song Jungsoo Lee In So Kweon Sungha Choi TTA 31 83 0 03 Mar 2023
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning Yu Fu Yu Xie Yanwei Fu Yugang Jiang 25 31 0 18 Feb 2023
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters Yawen Cui Zitong Yu Rizhao Cai Xuna Wang Alex C. Kot Li Liu CLL 15 7 0 12 Feb 2023
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation Aishik Konwer Xiaoling Hu Joseph Bae Xuanang Xu Chaoyu Chen Prateek Prasanna 24 16 0 08 Feb 2023
Generalized Few-Shot 3D Object Detection of LiDAR Point Cloud for Autonomous Driving Jiawei Liu Xingping Dong Sanyuan Zhao Jianbing Shen 3DPC 17 8 0 08 Feb 2023
Learning Prototype Classifiers for Long-Tailed Recognition Saurabh Sharma Yongqin Xian Ning Yu Ambuj K. Singh 14 13 0 01 Feb 2023
Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning Malte Ostendorff Georg Rehm CLIP VLM CLL 35 23 0 23 Jan 2023
Concept Discovery for Fast Adapatation Shengyu Feng Hanghang Tong OffRL 28 0 0 19 Jan 2023
Exploring Efficient Few-shot Adaptation for Vision Transformers C. Xu Siqian Yang Yabiao Wang Zhanxiong Wang Yanwei Fu Xiangyang Xue 22 16 0 06 Jan 2023
Smooth Mathematical Function from Compact Neural Networks I. K. Hong 16 0 0 31 Dec 2022