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
MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios Xiaofeng Pan Ming Li Jing Zhang Keren Yu Luping Wang Hong Wen Chengjun Mao Bo Cao 8 8 0 27 Dec 2021
One-shot Weakly-Supervised Segmentation in Medical Images Wenhui Lei Q. Su Ran Gu Na Wang Xinglong Liu Guotai Wang Xiaofan Zhang Shaoting Zhang 9 2 0 21 Nov 2021
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima Guangyuan Shi Jiaxin Chen Wenlong Zhang Li-Ming Zhan Xiao-Ming Wu CLL 28 152 0 30 Oct 2021
RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity Recognition Shuya Ding Zhe Chen Tianyue Zheng Jun-Jie Luo 18 111 0 29 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 32 10 0 14 Oct 2021
Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning Sungyong Baik Janghoon Choi Heewon Kim Dohee Cho Jaesik Min Kyoung Mu Lee 13 97 0 08 Oct 2021
Sparse Spatial Transformers for Few-Shot Learning Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen ViT 17 32 0 27 Sep 2021
Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition Xiyao Liu Zhong Ji Yanwei Pang Zhongfei Zhang 25 17 0 03 Sep 2021
Binocular Mutual Learning for Improving Few-shot Classification Ziqi Zhou Xi Qiu Jiangtao Xie Jianan Wu Chi Zhang SSL 13 76 0 27 Aug 2021
Prototype Completion for Few-Shot Learning Baoquan Zhang Xutao Li Yunming Ye Shanshan Feng VLM 55 18 0 11 Aug 2021
Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning Akash Gupta P. Jonnalagedda B. Bhanu A. Roy-Chowdhury 20 5 0 05 Aug 2021
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification Chengcheng Han Zeqiu Fan Dongxiang Zhang Minghui Qiu Ming Gao Aoying Zhou VLM 16 61 0 26 Jul 2021
External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery I. Sledge Christopher Toole J. Maestri José C. Príncipe 34 1 0 22 Jul 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo Longhui Wei Liangjiang Wen Jinrong Yang Lingxi Xie Zenglin Xu Qi Tian 42 86 0 16 Jul 2021
Few-shot Learning with Global Relatedness Decoupled-Distillation Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Zhen junzha Meng Wang 19 1 0 12 Jul 2021
MAML is a Noisy Contrastive Learner in Classification Chia-Hsiang Kao Wei-Chen Chiu Pin-Yu Chen 15 17 0 29 Jun 2021
Task Attended Meta-Learning for Few-Shot Learning Aroof Aimen Sahil Sidheekh N. C. Krishnan 19 4 0 20 Jun 2021
A critical look at the current train/test split in machine learning Jimin Tan Jianan Yang Sai Wu Gang Chen Jake Zhao OOD 32 35 0 08 Jun 2021
Meta-Learning with Fewer Tasks through Task Interpolation Huaxiu Yao Linjun Zhang Chelsea Finn 36 54 0 04 Jun 2021
Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation Binghao Liu Yao Ding Jianbin Jiao Xiangyang Ji QiXiang Ye 11 47 0 01 Jun 2021
Subspace Representation Learning for Few-shot Image Classification Ting-Yao Hu Zhi-Qi Cheng Alexander G. Hauptmann 8 5 0 02 May 2021
Few-Shot Incremental Learning with Continually Evolved Classifiers Chi Zhang Nan Song Guosheng Lin Yun Zheng Pan Pan Yinghui Xu CLL 42 289 0 07 Apr 2021
Revisiting Local Descriptor for Improved Few-Shot Classification J. He Richang Hong Xueliang Liu Mingliang Xu Qianru Sun 21 24 0 30 Mar 2021
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning Baoquan Zhang Xutao Li Shanshan Feng Yunming Ye Rui Ye 19 41 0 26 Mar 2021
One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video Zixu Zhao Yueming Jin Bo Lu Chi-Fai Ng Qi Dou Yunhui Liu Pheng-Ann Heng 14 24 0 24 Mar 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms Ali Ghadirzadeh Xi Chen Petra Poklukar Chelsea Finn Mårten Björkman Danica Kragic BDL 28 41 0 05 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Mamshad Nayeem Rizve Salman Khan F. Khan M. Shah 31 108 0 01 Mar 2021
Enabling the Network to Surf the Internet Zhuoling Li Haohan Wang Tymoteusz Świstek Weixin Chen Yuanzheng Li Haoqian Wang CLL 24 4 0 24 Feb 2021
Meta ordinal weighting net for improving lung nodule classification Yiming Lei Hongming Shan Junping Zhang 27 6 0 31 Jan 2021
TLRM: Task-level Relation Module for GNN-based Few-Shot Learning Yurong Guo Zhanyu Ma Xiaoxu Li Yuan Dong 25 4 0 25 Jan 2021
Stress Testing of Meta-learning Approaches for Few-shot Learning Aroof Aimen Sahil Sidheekh Vineet Madan N. C. Krishnan 12 7 0 21 Jan 2021
Progressive Co-Attention Network for Fine-grained Visual Classification Tian Zhang Dongliang Chang Zhanyu Ma Jun Guo 23 40 0 21 Jan 2021
Multi-scale Adaptive Task Attention Network for Few-Shot Learning Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 21 29 0 30 Nov 2020
Meta-Learning with Adaptive Hyperparameters Sungyong Baik Myungsub Choi Janghoon Choi Heewon Kim Kyoung Mu Lee 21 121 0 31 Oct 2020
Task-Adaptive Feature Transformer for Few-Shot Segmentation Jun Seo Younghyun Park Sung Whan Yoon Jaekyun Moon ViT 14 5 0 22 Oct 2020
Learning to Learn Variational Semantic Memory Xiantong Zhen Yingjun Du Huan Xiong Qiang Qiu Cees G. M. Snoek Ling Shao SSL BDL VLM DRL 13 34 0 20 Oct 2020
Improving Few-Shot Learning through Multi-task Representation Learning Theory Quentin Bouniot I. Redko Romaric Audigier Angélique Loesch Amaury Habrard 45 10 0 05 Oct 2020
Interventional Few-Shot Learning Zhongqi Yue Hanwang Zhang Qianru Sun Xiansheng Hua 24 225 0 28 Sep 2020
A Survey on Machine Learning from Few Samples Jiang Lu Pinghua Gong Jieping Ye Jianwei Zhang Changshu Zhang 14 47 0 06 Sep 2020
Learning from Few Samples: A Survey Nihar Bendre Hugo Terashima-Marín Peyman Najafirad VLM BDL 24 54 0 30 Jul 2020
K-Shot Contrastive Learning of Visual Features with Multiple Instance Augmentations Haohang Xu H. Xiong Guo-Jun Qi VLM 18 6 0 27 Jul 2020
Improving Generalization in Meta-learning via Task Augmentation Huaxiu Yao Long-Kai Huang Linjun Zhang Ying Wei Li Tian James Y. Zou Junzhou Huang Z. Li 42 81 0 26 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning Evan Vogelbaum Rumen Dangovski L. Jing Marin Soljacic 28 3 0 17 Jul 2020
Layer-Wise Adaptive Updating for Few-Shot Image Classification Yunxiao Qin Weiguo Zhang Zezheng Wang Chenxu Zhao Jingping Shi 11 7 0 16 Jul 2020
Top-Related Meta-Learning Method for Few-Shot Object Detection Qian Li Nan Guo Xiaochun Ye Duo Wang Dongrui Fan Zhimin Tang ObjD VLM 14 0 0 14 Jul 2020
Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine Pseudo-Labeling with Visual-Semantic Meta-Embedding Jinhai Yang Han Yang Lin Chen 14 20 0 11 Jul 2020
Meta-Learning Requires Meta-Augmentation Janarthanan Rajendran A. Irpan Eric Jang 16 93 0 10 Jul 2020
MetaConcept: Learn to Abstract via Concept Graph for Weakly-Supervised Few-Shot Learning Baoquan Zhang Ka-Cheong Leung Yunming Ye Xutao Li 18 1 0 05 Jul 2020
Self-supervised Knowledge Distillation for Few-shot Learning Jathushan Rajasegaran Salman Khan Munawar Hayat F. Khan M. Shah SSL 31 91 0 17 Jun 2020
Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning Andrei Boiarov O. Granichin O. Granichina 32 6 0 09 Jun 2020