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
Uncertainty-based Network for Few-shot Image Classification Minglei Yuan Qian Xu Chunhao Cai Yin-Dong Zheng Tao Wang Tong Lu UQCV 30 3 0 17 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 41 342 0 13 May 2022
Generating Representative Samples for Few-Shot Classification Jingyi Xu Hieu M. Le VLM 13 61 0 05 May 2022
Generalized Knowledge Distillation via Relationship Matching Han-Jia Ye Su Lu De-Chuan Zhan FedML 22 20 0 04 May 2022
Where in the World is this Image? Transformer-based Geo-localization in the Wild Shraman Pramanick E. Nowara Joshua Gleason Carlos D. Castillo Rama Chellappa ViT 13 30 0 29 Apr 2022
Meta-free few-shot learning via representation learning with weight averaging Kuilin Chen Chi-Guhn Lee 16 5 0 26 Apr 2022
Realistic Evaluation of Transductive Few-Shot Learning Olivier Veilleux Malik Boudiaf Pablo Piantanida Ismail Ben Ayed 21 35 0 24 Apr 2022
Learning Compositional Representations for Effective Low-Shot Generalization Samarth Mishra Pengkai Zhu Venkatesh Saligrama OCL 25 3 0 17 Apr 2022
Few-shot Learning with Noisy Labels Kevin J Liang Samrudhdhi B. Rangrej Vladan Petrovic Tal Hassner NoLa 14 47 0 12 Apr 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification Jiangtao Xie Fei Long Jiaming Lv Qilong Wang P. Li 20 160 0 09 Apr 2022
Identifying Ambiguous Similarity Conditions via Semantic Matching Han-Jia Ye Yi Shi De-Chuan Zhan CoGe 23 7 0 08 Apr 2022
The Self-Optimal-Transport Feature Transform Daniel Shalam Simon Korman OT 14 22 0 06 Apr 2022
Matching Feature Sets for Few-Shot Image Classification Arman Afrasiyabi Hugo Larochelle Jean-François Lalonde Christian Gagné VLM 22 72 0 02 Apr 2022
Do Vision-Language Pretrained Models Learn Composable Primitive Concepts? Tian Yun Usha Bhalla Ellie Pavlick Chen Sun ReLM CoGe VLM LRM 31 23 0 31 Mar 2022
Integrative Few-Shot Learning for Classification and Segmentation Dahyun Kang Minsu Cho VLM 24 59 0 29 Mar 2022
A Framework of Meta Functional Learning for Regularising Knowledge Transfer Pan Li Yanwei Fu S. Gong 17 0 0 28 Mar 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe Soopil Kim Sang Hyun Park 30 32 0 25 Mar 2022
HyperShot: Few-Shot Learning by Kernel HyperNetworks Marcin Sendera Marcin Przewiȩźlikowski Konrad Karanowski Maciej Ziȩba Jacek Tabor P. Spurek VLM 19 27 0 21 Mar 2022
Self-Promoted Supervision for Few-Shot Transformer Bowen Dong Pan Zhou Shuicheng Yan W. Zuo ViT 22 28 0 14 Mar 2022
Towards Open-Set Text Recognition via Label-to-Prototype Learning Chang-rui Liu Chun Yang Haibo Qin Xiaobin Zhu Cheng-Lin Liu Xu-Cheng Yin VLM 6 34 0 10 Mar 2022
MetaDT: Meta Decision Tree with Class Hierarchy for Interpretable Few-Shot Learning Baoquan Zhang Hao Jiang Xutao Li Shanshan Feng Yunming Ye Rui Ye 11 4 0 03 Mar 2022
Improving fairness in speaker verification via Group-adapted Fusion Network Hua Shen Yuguang Yang G. Sun Ryan Langman Eunjung Han J. Droppo A. Stolcke 18 15 0 23 Feb 2022
Semantically Proportional Patchmix for Few-Shot Learning Jingquan Wang Jing Xu Y. Pan Zenglin Xu VLM 6 1 0 17 Feb 2022
Self-Supervised Class-Cognizant Few-Shot Classification Ojas Kishore Shirekar Hadi Jamali Rad SSL 29 4 0 15 Feb 2022
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Yassir Bendou Yuqing Hu Raphael Lafargue G. Lioi Bastien Pasdeloup S. Pateux Vincent Gripon VLM 28 37 0 24 Jan 2022
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning Peyman Bateni Jarred Barber Raghav Goyal Vaden Masrani Jan Willem van de Meent Leonid Sigal Frank D. Wood BDL VLM 42 9 0 13 Jan 2022
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning A. Zhmoginov Mark Sandler Max Vladymyrov ViT 25 68 0 11 Jan 2022
Semantics-driven Attentive Few-shot Learning over Clean and Noisy Samples Orhun Bugra Baran Ramazan Gokberk Cinbics 11 4 0 09 Jan 2022
Dual Path Structural Contrastive Embeddings for Learning Novel Objects Bingbin Li E. Cui Yanan Li Donghui Wang Weng Kee Wong 16 1 0 23 Dec 2021
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du Xiantong Zhen Ling Shao Cees G. M. Snoek VLM BDL 38 21 0 15 Dec 2021
Hybrid Graph Neural Networks for Few-Shot Learning Tianyuan Yu Sen He Yi-Zhe Song Tao Xiang 19 59 0 13 Dec 2021
Shaping Visual Representations with Attributes for Few-Shot Recognition Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 32 7 0 13 Dec 2021
MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-shot Video Classification Rex Liu Huan Zhang Hamed Pirsiavash Xin Liu ViT 11 11 0 08 Dec 2021
Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning Rongkai Ma Pengfei Fang Gilat Avraham Yan Zuo Tianyu Zhu Tom Drummond Mehrtash Harandi VLM 8 13 0 07 Dec 2021
Label Hallucination for Few-Shot Classification Yiren Jian Lorenzo Torresani 22 40 0 06 Dec 2021
Adaptive Poincaré Point to Set Distance for Few-Shot Classification Rongkai Ma Pengfei Fang Tom Drummond Mehrtash Harandi 19 45 0 03 Dec 2021
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention Kun Yan Chenbin Zhang Jun Hou Ping Wang Zied Bouraoui Shoaib Jameel Steven Schockaert 6 19 0 02 Dec 2021
Gaussian Process Meta Few-shot Classifier Learning via Linear Discriminant Laplace Approximation Minyoung Kim Timothy M. Hospedales BDL 10 5 0 09 Nov 2021
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning Fengyuan Yang Ruiping Wang Xilin Chen VLM 26 35 0 08 Nov 2021
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding Subhabrata Mukherjee Xiaodong Liu Guoqing Zheng Saghar Hosseini Hao Cheng Greg Yang Christopher Meek Ahmed Hassan Awadallah Jianfeng Gao ELM 25 11 0 04 Nov 2021
Few-shot learning with improved local representations via bias rectify module Chao Dong Qi Ye Wenchao Meng Kaixiang Yang 4 2 0 01 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
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning Yuqing Hu Vincent Gripon S. Pateux 34 37 0 18 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
A Mutual learning framework for Few-shot Sound Event Detection Dongchao Yang Helin Wang Yuexian Zou Zhongjie Ye Wenwu Wang 22 25 0 09 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari Ehsan Saleh David A. Forsyth Yu-xiong Wang 30 13 0 06 Oct 2021
Sparse Spatial Transformers for Few-Shot Learning Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen ViT 17 32 0 27 Sep 2021
Disentangled Feature Representation for Few-shot Image Classification Hao Cheng Yufei Wang Haoliang Li Alex C. Kot B. Wen 53 27 0 26 Sep 2021
Learning by Examples Based on Multi-level Optimization Shentong Mo P. Xie 15 0 0 22 Sep 2021
Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications Sai Vidyaranya Nuthalapati Anirudh Tunga 19 31 0 21 Sep 2021