Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions

10 December 2018

Han-Jia Ye

Papers citing "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

50 / 295 papers shown

Title
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification Jedrzej Kozerawski M. Turk VLM MQ 13 5 0 14 Sep 2021
Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning Chi Zhang Henghui Ding Guosheng Lin Ruibo Li Changhu Wang Chunhua Shen 34 39 0 13 Sep 2021
LibFewShot: A Comprehensive Library for Few-shot Learning Wenbin Li Ziyi Ziyi Wang Xuesong Yang C. Dong ... Jing Huo Yinghuan Shi Lei Wang Yang Gao Jiebo Luo VLM 108 66 0 10 Sep 2021
CIM: Class-Irrelevant Mapping for Few-Shot Classification Shuai Shao Lei Xing Yixin Chen Yanjiang Wang Baodi Liu Yicong Zhou 24 2 0 07 Sep 2021
Few-shot Learning via Dependency Maximization and Instance Discriminant Analysis Zejiang Hou S. Kung 11 1 0 07 Sep 2021
Improving Speaker Identification for Shared Devices by Adapting Embeddings to Speaker Subsets Zhenning Tan Yuguang Yang Eunjung Han A. Stolcke 11 5 0 06 Sep 2021
Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning Zhong Ji Zhishen Hou Xiyao Liu Yanwei Pang Jungong Han 6 20 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
Relational Embedding for Few-Shot Classification Dahyun Kang Heeseung Kwon Juhong Min Minsu Cho 26 185 0 22 Aug 2021
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting Anna Kukleva Hilde Kuehne Bernt Schiele CLL 15 50 0 18 Aug 2021
The Role of Global Labels in Few-Shot Classification and How to Infer Them Ruohan Wang Massimiliano Pontil C. Ciliberto VLM 32 17 0 09 Aug 2021
Transductive Few-Shot Classification on the Oblique Manifold Guodong Qi Huimin Yu Zhaohui Lu Shuzhao Li 11 45 0 09 Aug 2021
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer Zhihe Lu Sen He Xiatian Zhu Li Zhang Yi-Zhe Song Tao Xiang ViT 171 173 0 06 Aug 2021
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding Sheng Huang Wanqi Yang Lei Wang Luping Zhou Ming Yang 25 8 0 06 Aug 2021
Uniform Sampling over Episode Difficulty Sébastien M. R. Arnold Guneet Singh Dhillon Avinash Ravichandran Stefano Soatto 11 14 0 03 Aug 2021
Proposal-based Few-shot Sound Event Detection for Speech and Environmental Sounds with Perceivers Piper Wolters Logan Sizemore Chris Daw Brian Hutchinson Lauren A. Phillips 27 11 0 28 Jul 2021
Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target Data Yu Fu Yanwei Fu Yu-Gang Jiang 14 60 0 26 Jul 2021
A Transductive Maximum Margin Classifier for Few-Shot Learning Fei Pan Chunlei Xu Jie Guo Yanwen Guo 19 0 0 26 Jul 2021
Improving the Generalization of Meta-learning on Unseen Domains via Adversarial Shift Pinzhuo Tian Yao Gao OOD 9 1 0 23 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 34 86 0 16 Jul 2021
Multi-Level Contrastive Learning for Few-Shot Problems Qing Chen Jian Zhang 29 5 0 15 Jul 2021
A Channel Coding Benchmark for Meta-Learning Rui Li Ondrej Bohdal Rajesh K. Mishra Hyeji Kim Da Li Nicholas D. Lane Timothy M. Hospedales 20 9 0 15 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
Few-Shot Domain Adaptation with Polymorphic Transformers Shaohua Li Xiuchao Sui Jie Fu H. Fu Xiangde Luo Yangqin Feng Xinxing Xu Yong Liu Daniel Ting Rick Siow Mong Goh ViT MedIm 13 20 0 10 Jul 2021
Few-Shot Learning with a Strong Teacher Han-Jia Ye Lu Ming De-Chuan Zhan Wei-Lun Chao 13 49 0 01 Jul 2021
How to Train Your MAML to Excel in Few-Shot Classification Han-Jia Ye Wei-Lun Chao 24 49 0 30 Jun 2021
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification Dong Lee Sae-Young Chung 13 20 0 22 Jun 2021
Episode Adaptive Embedding Networks for Few-shot Learning Fangbing Liu Qing Wang 16 0 0 17 Jun 2021
Transductive Few-Shot Learning: Clustering is All You Need? Imtiaz Masud Ziko Malik Boudiaf Jose Dolz Eric Granger Ismail Ben Ayed 22 3 0 16 Jun 2021
Contextualizing Meta-Learning via Learning to Decompose Han-Jia Ye Da-Wei Zhou Lanqing Hong Zhenguo Li Xiu-Shen Wei De-Chuan Zhan 15 6 0 15 Jun 2021
Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification Yang Liu Weifeng Zhang Chao Xiang Tu Zheng Deng Cai Xiaofei He FedML 17 47 0 10 Jun 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 27 22 0 09 Jun 2021
Attention mechanisms and deep learning for machine vision: A survey of the state of the art A. M. Hafiz S. A. Parah R. A. Bhat 19 45 0 03 Jun 2021
Improving Few-shot Learning with Weakly-supervised Object Localization Inyong Koo Minki Jeong Changick Kim WSOL SSL 23 1 0 25 May 2021
Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning Kun Yan Zied Bouraoui Ping Wang Shoaib Jameel Steven Schockaert 22 21 0 21 May 2021
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments Xiaoxu Li Xiaochen Yang Zhanyu Ma Jing-Hao Xue VLM 41 117 0 17 May 2021
Diffusion Mechanism in Residual Neural Network: Theory and Applications Tangjun Wang Zehao Dou Chenglong Bao Zuoqiang Shi DiffM 22 7 0 07 May 2021
ISTR: End-to-End Instance Segmentation with Transformers Jie Hu Liujuan Cao Yao Lu Shengchuan Zhang Yan Wang Ke Li Feiyue Huang Ling Shao Rongrong Ji ISeg 18 93 0 03 May 2021
Subspace Representation Learning for Few-shot Image Classification Ting-Yao Hu Zhi-Qi Cheng Alexander G. Hauptmann 6 5 0 02 May 2021
Embedding Adaptation is Still Needed for Few-Shot Learning Sébastien M. R. Arnold Fei Sha VLM 11 7 0 15 Apr 2021
Few-Shot Action Recognition with Compromised Metric via Optimal Transport Su Lu Han-Jia Ye De-Chuan Zhan 18 18 0 08 Apr 2021
Towards Enabling Meta-Learning from Target Models Su Lu Han-Jia Ye Le Gan De-Chuan Zhan CLL 8 5 0 08 Apr 2021
Few-Shot Incremental Learning with Continually Evolved Classifiers Chi Zhang Nan Song Guosheng Lin Yun Zheng Pan Pan Yinghui Xu CLL 39 289 0 07 Apr 2021
Procrustean Training for Imbalanced Deep Learning Han-Jia Ye De-Chuan Zhan Wei-Lun Chao 10 31 0 05 Apr 2021
Hypercorrelation Squeeze for Few-Shot Segmentation Juhong Min Dahyun Kang Minsu Cho 21 288 0 04 Apr 2021
Revisiting Local Descriptor for Improved Few-Shot Classification J. He Richang Hong Xueliang Liu Mingliang Xu Qianru Sun 16 24 0 30 Mar 2021
Orthogonal Projection Loss Kanchana Ranasinghe Muzammal Naseer Munawar Hayat Salman Khan F. Khan VLM 11 67 0 25 Mar 2021
Learning Dynamic Alignment via Meta-filter for Few-shot Learning C. Xu Chen Liu Li Zhang Chengjie Wang Jilin Li Feiyue Huang Xiangyang Xue Yanwei Fu 24 103 0 25 Mar 2021
Hierarchical Representation based Query-Specific Prototypical Network for Few-Shot Image Classification Yaohui Li Huaxiong Li Haoxing Chen Chunlin Chen 25 4 0 21 Mar 2021
DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor Neural Network Yang Liu Tu Zheng Jie Song Deng Cai Xiaofei He 30 25 0 15 Mar 2021