Task-Agnostic Meta-Learning for Few-shot Learning

20 May 2018

Guo-Jun Qi

Papers citing "Task-Agnostic Meta-Learning for Few-shot Learning"

50 / 175 papers shown

Title
Hierarchical Relation-augmented Representation Generalization for Few-shot Action Recognition Hongyu Qu Ling Xing Rui Yan Yazhou Yao G. Xie Xiangbo Shu 29 0 0 14 Apr 2025
Sub-Clustering for Class Distance Recalculation in Long-Tailed Drug Classification Yujia Su Xinjie Li Lionel Z. Wang 30 0 0 07 Apr 2025
UAS Visual Navigation in Large and Unseen Environments via a Meta Agent Yuci Han Charles Toth Alper Yilmaz 59 0 0 20 Mar 2025
DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers Mert Bulent Sariyildiz Philippe Weinzaepfel Thomas Lucas Pau de Jorge Diane Larlus Yannis Kalantidis 55 0 0 18 Mar 2025
Riemannian Geometric-based Meta Learning JuneYoung Park YuMi Lee Tae Joon Kim Jang-Hwan Choi 50 0 0 14 Mar 2025
MetaXCR: Reinforcement-Based Meta-Transfer Learning for Cross-Lingual Commonsense Reasoning Jie He Yu Fu OffRL LRM 62 2 0 09 Mar 2025
Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks Yonghao Liu Mengyu Li Fausto Giunchiglia Lan Huang Ximing Li Xiaoyue Feng Renchu Guan 33 0 0 21 Feb 2025
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Arnav M. Das Gantavya Bhatt Lilly Kumari Sahil Verma J. Bilmes 29 0 0 23 Dec 2024
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning Long Zhou Fereshteh Shakeri Aymen Sadraoui Mounir Kaaniche J. Pesquet Ismail Ben Ayed VLM 84 0 0 21 Dec 2024
Neuromodulated Meta-Learning Jingyao Wang Huijie Guo Wenwen Qiang Jiangmeng Li Changwen Zheng Hui Xiong Gang Hua 61 0 0 11 Nov 2024
FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification Kexue Fu Xiaoyuan Luo Linhao Qu Shuo Wang Ying Xiong Ilias Maglogiannis Longxiang Gao Manning Wang 31 1 0 29 Sep 2024
Learning to Obstruct Few-Shot Image Classification over Restricted Classes Amber Yijia Zheng Chiao-An Yang Raymond A. Yeh 27 1 0 28 Sep 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 32 4 0 26 Sep 2024
Knowledge Adaptation Network for Few-Shot Class-Incremental Learning Ye Wang Yaxiong Wang Guoshuai Zhao Xueming Qian CLL 31 1 0 18 Sep 2024
Rethinking Meta-Learning from a Learning Lens Jingyao Wang Wenwen Qiang Chuxiong Sun Lingyu Si Jiangmeng Li 43 1 0 13 Sep 2024
Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-Shot Open-Set Recognition Zhenyu Zhang Guangyao Chen Yixiong Zou Yuhua Li Ruixuan Li UQCV 31 0 0 23 Aug 2024
Learn To Learn More Precisely Runxi Cheng Yongxian Wei Xianglong He Wanyun Zhu Songsong Huang Fei Richard Yu Fei Ma Chun Yuan 34 0 0 08 Aug 2024
Towards Robust Physical-world Backdoor Attacks on Lane Detection Xinwei Zhang Aishan Liu Tianyuan Zhang Siyuan Liang Xianglong Liu AAML 47 10 0 09 May 2024
MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action Recognition Hongyu Qu Rui Yan Xiangbo Shu Haoliang Gao Peng Huang Guo-Sen Xie 54 4 0 03 May 2024
Query-guided Prototype Evolution Network for Few-Shot Segmentation Runmin Cong Hang Xiong Jinpeng Chen Wei Zhang Qingming Huang Yao Zhao 54 13 0 11 Mar 2024
MGE: A Training-Free and Efficient Model Generation and Enhancement Scheme Xuan Wang Zeshan Pang Yuliang Lu Xuehu Yan 31 0 0 27 Feb 2024
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks Yun-Wei Chu Dong-Jun Han Seyyedali Hosseinalipour Christopher G. Brinton AI4CE FedML 27 1 0 03 Feb 2024
Few-Shot Class-Incremental Learning with Prior Knowledge Wenhao Jiang Duo Li Menghan Hu Guangtao Zhai Xiaokang Yang Xiao-Ping Zhang CLL 47 1 0 02 Feb 2024
LDCA: Local Descriptors with Contextual Augmentation for Few-Shot Learning Maofa Wang Bingchen Yan 18 0 0 24 Jan 2024
AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space A. Mottaghi Mohammad Abdullah Jamal Serena Yeung Omid Mohareri 28 0 0 23 Jan 2024
Boosting Few-Shot Segmentation via Instance-Aware Data Augmentation and Local Consensus Guided Cross Attention Li Guo Haoming Liu Yuxuan Xia Chengyu Zhang Xiaochen Lu 15 0 0 18 Jan 2024
Challenge design roadmap Hugo Jair Escalante Isabelle M Guyon Addison Howard Walter Reade Sébastien Treguer AI4TS 26 0 0 15 Jan 2024
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models Mingli Zhu Zihao Zhu Sihong Chen Chen Chen Baoyuan Wu CLL 37 3 0 14 Jan 2024
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection Hefei Mei Taijin Zhao Shiyuan Tang Heqian Qiu Lanxiao Wang Minjian Zhang Fanman Meng Hongliang Li ObjD 20 1 0 27 Dec 2023
From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape Timothy R. McIntosh Teo Susnjak Tong Liu Paul Watters Malka N. Halgamuge 83 46 0 18 Dec 2023
Accelerating Meta-Learning by Sharing Gradients Oscar Chang Hod Lipson 19 0 0 13 Dec 2023
Hacking Task Confounder in Meta-Learning Jingyao Wang Yi Ren Zeen Song Xingzhe Su Changwen Zheng Wenwen Qiang CML 23 8 0 10 Dec 2023
TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning Shuangmei Wang Yang Cao Tieru Wu CLL 28 0 0 07 Dec 2023
D $^2$ ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action Recognition Wenjie Pei Qizhong Tan Guangming Lu Jiandong Tian 41 3 0 03 Dec 2023
Simple Semantic-Aided Few-Shot Learning Hai Zhang Junzhe Xu Shanlin Jiang Zhenan He VLM 13 7 0 30 Nov 2023
Multi-level Relation Learning for Cross-domain Few-shot Hyperspectral Image Classification Chun Liu Longwei Yang Zheng Li Wei Yang Zhigang Han Jianzhong Guo Junyong Yu 13 9 0 02 Nov 2023
Not Just Learning from Others but Relying on Yourself: A New Perspective on Few-Shot Segmentation in Remote Sensing Hanbo Bi Yingchao Feng Zhiyuan Yan Yongqiang Mao Wenhui Diao Hongqi Wang Xian Sun 19 16 0 19 Oct 2023
Few-shot Action Recognition with Captioning Foundation Models Xiang Wang Shiwei Zhang Hangjie Yuan Yingya Zhang Changxin Gao Deli Zhao Nong Sang VLM 26 7 0 16 Oct 2023
TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification J. Wang Chengyu Wang Cen Chen Ming Gao Jun Huang Aoying Zhou VLM 17 0 0 29 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
Image Synthesis under Limited Data: A Survey and Taxonomy Mengping Yang Zhe Wang 28 8 0 31 Jul 2023
Towards Task Sampler Learning for Meta-Learning Jingyao Wang Wenwen Qiang Xingzhe Su Changwen Zheng Fuchun Sun Hui Xiong 22 9 0 18 Jul 2023
Generalizing Supervised Deep Learning MRI Reconstruction to Multiple and Unseen Contrasts using Meta-Learning Hypernetworks Sriprabha Ramanarayanan Arun Palla Keerthi Ram M. Sivaprakasam 13 10 0 13 Jul 2023
Neural Priming for Sample-Efficient Adaptation Matthew Wallingford Vivek Ramanujan Alex Fang Aditya Kusupati Roozbeh Mottaghi Aniruddha Kembhavi Ludwig Schmidt Ali Farhadi VLM 108 13 0 16 Jun 2023
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation Ren Wang Haoliang Sun Qi Wei Xiushan Nie Yuling Ma Yilong Yin 12 0 0 14 Jun 2023
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills Qiushi Sun Nuo Chen J. Wang Xiang Li Ming Gao 24 8 0 23 May 2023
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks Wenfang Sun Yingjun Du Xiantong Zhen Fan Wang Lingling Wang Cees G. M. Snoek 19 3 0 17 May 2023
Learning More Discriminative Local Descriptors for Few-shot Learning Qi Song Siyun Zhou Liwei Xu 4 2 0 15 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