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
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities Hexiang Hu Yi Luan Yang Chen Urvashi Khandelwal Mandar Joshi Kenton Lee Kristina Toutanova Ming-Wei Chang VLM 43 55 0 22 Feb 2023
An Adaptive Plug-and-Play Network for Few-Shot Learning Hao Li Li Li Yun-Ya Huang Ning Li Yongtao Zhang 21 3 0 18 Feb 2023
Semi-Supervised Domain Adaptation with Source Label Adaptation Yuhai Yu Hsuan-Tien Lin 12 34 0 05 Feb 2023
A Closer Look at Few-shot Classification Again Xu Luo Hao Wu Ji Zhang Lianli Gao Jing Xu Jingkuan Song 24 48 0 28 Jan 2023
Open-Set Likelihood Maximization for Few-Shot Learning Malik Boudiaf Etienne Bennequin Myriam Tami Antoine Toubhans Pablo Piantanida C´eline Hudelot Ismail Ben Ayed BDL 26 10 0 20 Jan 2023
HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot Action Recognition Xiang Wang Shiwei Zhang Zhiwu Qing Zhe Zuo Changxin Gao Rong Jin Nong Sang 18 23 0 09 Jan 2023
Exploring Efficient Few-shot Adaptation for Vision Transformers C. Xu Siqian Yang Yabiao Wang Zhanxiong Wang Yanwei Fu Xiangyang Xue 27 16 0 06 Jan 2023
High-level semantic feature matters few-shot unsupervised domain adaptation Lei Yu Wanqi Yang Sheng Huang Lei Wang Ming Yang 22 3 0 05 Jan 2023
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 33 3 0 22 Dec 2022
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition Xin Ni Yong Liu Hao Wen Yatai Ji Jing Xiao Yujiu Yang 26 9 0 09 Dec 2022
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification Jijie Wu Dongliang Chang Aneeshan Sain Xiaoxu Li Zhanyu Ma Jie Cao Jun Guo Yi-Zhe Song 19 35 0 30 Nov 2022
PatchMix Augmentation to Identify Causal Features in Few-shot Learning C. Xu Chen Liu Xinwei Sun Siqian Yang Yabiao Wang Chengjie Wang Yanwei Fu 24 16 0 29 Nov 2022
RankDNN: Learning to Rank for Few-shot Learning Qianyu Guo Hongtong Gong Xu Wei Yanwei Fu Weifeng Ge Yizhou Yu Wenqiang Zhang 16 14 0 28 Nov 2022
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization Stefan Stojanov Anh Thai Zixuan Huang James M. Rehg 18 1 0 28 Nov 2022
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks Samuel Hess G. Ditzler 44 2 0 26 Nov 2022
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval Deunsol Jung Dahyun Kang Suha Kwak Minsu Cho CLL 16 8 0 14 Nov 2022
Enhancing Few-shot Image Classification with Cosine Transformer Quang-Huy Nguyen Cuong Q. Nguyen Dung D. Le Hieu H. Pham ViT 19 12 0 13 Nov 2022
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective Jinxiang Lai Siqian Yang Guannan Jiang Xi-Zhao Wang Yuxi Li ... J. Liu Bin-Bin Gao Wei Zhang Yuan Xie Chengjie Wang 28 6 0 02 Nov 2022
tSF: Transformer-based Semantic Filter for Few-Shot Learning Jinxiang Lai Siqian Yang Wenlong Liu Yi Zeng Zhongyi Huang Wenlong Wu Jun Liu Bin-Bin Gao Chengjie Wang VLM 10 19 0 02 Nov 2022
Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations Xinyu Yang Huaxiu Yao Allan Zhou Chelsea Finn 39 3 0 25 Oct 2022
Self-Attention Message Passing for Contrastive Few-Shot Learning Ojas Kishorkumar Shirekar Ashutosh Kumar Singh Hadi Jamali Rad 13 5 0 12 Oct 2022
Knowledge-Driven New Drug Recommendation Zhenbang Wu Huaxiu Yao Zhe Su David M. Liebovitz Lucas Glass James Y. Zou Chelsea Finn Jimeng Sun 18 4 0 11 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning Mayug Maniparambil Kevin McGuinness Noel E. O'Connor 21 3 0 05 Oct 2022
Double Attention-based Lightweight Network for Plant Pest Recognition Sivasubramaniam Janarthan S. Thuseethan Sutharshan Rajasegarar John Yearwood 11 2 0 04 Oct 2022
Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022 Liming Gu Zhixiang Chi Huan Liu Yuanhao Yu Yang Wang 22 5 0 01 Oct 2022
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning Xiu-Shen Wei Hesheng Xu Faen Zhang Yuxin Peng Wei Zhou 19 14 0 28 Sep 2022
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification Yuqing Hu S. Pateux Vincent Gripon 22 15 0 18 Sep 2022
Few-Shot Classification with Contrastive Learning Zhanyuan Yang Jinghua Wang Ying J. Zhu OODD MQ 42 55 0 17 Sep 2022
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition M. Han Yibing Zhan Yong Luo Bo Du Han Hu Yonggang Wen Dacheng Tao 19 6 0 07 Sep 2022
A Study on Representation Transfer for Few-Shot Learning Chun-Nam Yu Yi Xie SSL 11 1 0 05 Sep 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification Xixi Wang Xiao Wang Bo Jiang Bin Luo 27 42 0 26 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 27 17 0 22 Aug 2022
Learning Primitive-aware Discriminative Representations for Few-shot Learning Jianpeng Yang Yuhang Niu Xuemei Xie G. Shi 16 1 0 20 Aug 2022
Kernel Relative-prototype Spectral Filtering for Few-shot Learning Tao Zhang Wu Huang 11 13 0 24 Jul 2022
Self-Supervision Can Be a Good Few-Shot Learner Yuning Lu Liangjiang Wen Jianzhuang Liu Yajing Liu Xinmei Tian SSL 14 37 0 19 Jul 2022
Few-shot Open-set Recognition Using Background as Unknowns Nan Song Chi Zhang Guosheng Lin VLM SSL 21 10 0 19 Jul 2022
Bayesian Evidential Learning for Few-Shot Classification Xiongkun Linghu Yan Bai Yihang Lou Shengsen Wu Jinze Li Jianzhong He Tao Bai BDL EDL UQCV 20 2 0 19 Jul 2022
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation Hegui Zhu Zhan Gao Jiayi Wang Yangqiaoyu Zhou Chengqing Li 11 6 0 18 Jul 2022
Feed-Forward Latent Domain Adaptation Ondrej Bohdal Da Li S. Hu Timothy M. Hospedales OOD 33 1 0 15 Jul 2022
Fine-grained Few-shot Recognition by Deep Object Parsing Ruizhao Zhu Pengkai Zhu Samarth Mishra Venkatesh Saligrama 19 0 0 14 Jul 2022
Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation M. Zhang Siteng Huang Wenbin Li Donglin Wang VLM 23 32 0 14 Jul 2022
Compound Prototype Matching for Few-shot Action Recognition Yifei Huang Lijin Yang Yoichi Sato 22 43 0 12 Jul 2022
Diagnosing and Remedying Shot Sensitivity with Cosine Few-Shot Learners Davis Wertheimer Luming Tang Bharath Hariharan 11 0 0 07 Jul 2022
Task Discrepancy Maximization for Fine-grained Few-Shot Classification Subeen Lee WonJun Moon Jae-Pil Heo 32 46 0 04 Jul 2022
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification Bo-Wen Zhang Jiakang Yuan Baopu Li Tao Chen Jiayuan Fan Botian Shi ViT 13 31 0 02 Jul 2022
Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting Byeonggeun Kim Seunghan Yang Inseop Chung Simyung Chang 22 14 0 28 Jun 2022
Model-Agnostic Few-Shot Open-Set Recognition Malik Boudiaf Etienne Bennequin Myriam Tami C´eline Hudelot Antoine Toubhans Pablo Piantanida Ismail Ben Ayed BDL 14 1 0 18 Jun 2022
Rethinking Generalization in Few-Shot Classification Markus Hiller Rongkai Ma Mehrtash Harandi Tom Drummond OCL VLM 17 55 0 15 Jun 2022
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples Duong H. Le Khoi Duc Minh Nguyen Khoi Nguyen Quoc-Huy Tran Rang Nguyen Binh-Son Hua OODD 30 39 0 08 Jun 2022
Few-Shot Learning by Dimensionality Reduction in Gradient Space M. Gauch M. Beck Thomas Adler D. Kotsur Stefan Fiel ... Markus Holzleitner Werner Zellinger D. Klotz Sepp Hochreiter Sebastian Lehner 33 9 0 07 Jun 2022