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"

45 / 295 papers shown

Title
Few-shot Open-set Recognition by Transformation Consistency Minki Jeong Seokeon Choi Changick Kim 41 49 0 02 Mar 2021
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning Zhiqiang Shen Zechun Liu Jie Qin Marios Savvides Kwang-Ting Cheng CLL 12 155 0 08 Feb 2021
Few-shot Image Classification with Multi-Facet Prototypes Kun Yan Zied Bouraoui Ping Wang Shoaib Jameel Steven Schockaert 21 4 0 01 Feb 2021
CORL: Compositional Representation Learning for Few-Shot Classification Ju He Adam Kortylewski Alan Yuille OCL 27 9 0 28 Jan 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning Yizhao Gao Nanyi Fei Guangzhen Liu Zhiwu Lu Tao Xiang Songfang Huang 53 35 0 23 Jan 2021
Few-shot Action Recognition with Prototype-centered Attentive Learning Xiatian Zhu Antoine Toisoul Juan-Manuel Prez-Ra Li Zhang Brais Martínez Tao Xiang 31 53 0 20 Jan 2021
Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias Stefan Stojanov Anh Thai James M. Rehg 3DPC 8 41 0 18 Jan 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 227 2,428 0 04 Jan 2021
Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier Arkabandhu Chowdhury Mingchao Jiang Swarat Chaudhuri C. Jermaine VLM 18 41 0 03 Jan 2021
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition Shiyuan Huang Jiawei Ma G. Han Shih-Fu Chang BDL 19 19 0 24 Dec 2020
Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks Reza Esfandiarpoor Amy Pu M. Hajabdollahi Stephen H. Bach CLL 11 7 0 13 Dec 2020
Meta-Generating Deep Attentive Metric for Few-shot Classification Lei Zhang Fei Zhou Wei Wei Yanning Zhang VLM 34 28 0 03 Dec 2020
Few-Shot Classification with Feature Map Reconstruction Networks Davis Wertheimer Luming Tang B. Hariharan 10 233 0 02 Dec 2020
ReMP: Rectified Metric Propagation for Few-Shot Learning Yang Zhao Chunyuan Li Ping Yu Changyou Chen 19 6 0 02 Dec 2020
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks Han-Jia Ye Lu Han De-Chuan Zhan OffRL SSL VLM 19 27 0 30 Nov 2020
RNNP: A Robust Few-Shot Learning Approach Pratik Mazumder Pravendra Singh Vinay P. Namboodiri NoLa 13 17 0 22 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 12 2 0 19 Nov 2020
Zero-shot Relation Classification from Side Information Jiaying Gong Hoda Eldardiry 11 17 0 13 Nov 2020
Cross-Domain Few-Shot Learning by Representation Fusion Thomas Adler Johannes Brandstetter Michael Widrich Andreas Mayr David P. Kreil Michael K Kopp G. Klambauer Sepp Hochreiter OOD 17 44 0 13 Oct 2020
Variational Feature Disentangling for Fine-Grained Few-Shot Classification Jingyi Xu Hieu M. Le Mingzhen Huang ShahRukh Athar Dimitris Samaras DRL 6 52 0 07 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
Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning Henry Kvinge Zach New Nico Courts J. H. Lee Lauren A. Phillips Court D. Corley Aaron Tuor Andrew Avila Nathan Oken Hodas 12 2 0 23 Sep 2020
Few-shot Learning with LSSVM Base Learner and Transductive Modules Haoqing Wang Zhihong Deng 6 1 0 12 Sep 2020
Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition Siteng Huang Min Zhang Yachen Kang Donglin Wang 12 40 0 10 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
Contextualizing Enhances Gradient Based Meta Learning Evan Vogelbaum Rumen Dangovski L. Jing Marin Soljacic 26 3 0 17 Jul 2020
How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning Yikai Wang Li Zhang Yuan Yao Yanwei Fu 40 43 0 15 Jul 2020
Attentive Graph Neural Networks for Few-Shot Learning Hao Cheng Joey Tianyi Zhou Wee Peng Tay B. Wen 6 12 0 14 Jul 2020
Generalized Few-Shot Video Classification with Video Retrieval and Feature Generation Yongqin Xian Bruno Korbar Matthijs Douze Lorenzo Torresani Bernt Schiele Zeynep Akata VGen 16 18 0 09 Jul 2020
Predicting the Accuracy of a Few-Shot Classifier Myriam Bontonou Louis Bethune Vincent Gripon 6 4 0 08 Jul 2020
Laplacian Regularized Few-Shot Learning Imtiaz Masud Ziko Jose Dolz Eric Granger Ismail Ben Ayed 11 174 0 28 Jun 2020
A Universal Representation Transformer Layer for Few-Shot Image Classification Lu Liu William L. Hamilton Guodong Long Jing Jiang Hugo Larochelle ViT 27 125 0 21 Jun 2020
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning Yuqing Hu Vincent Gripon S. Pateux 10 167 0 06 Jun 2020
AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings Pratik Mazumder Pravendra Singh Kranti K. Parida Vinay P. Namboodiri 13 32 0 27 May 2020
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing Yixiong Zou Shanghang Zhang Ke Chen Yonghong Tian Yaowei Wang J. M. F. Moura 18 25 0 12 May 2020
Memory-Augmented Relation Network for Few-Shot Learning J. He Richang Hong Xueliang Liu Mingliang Xu Zhengjun Zha Meng Wang 19 47 0 09 May 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification Pau Rodríguez I. Laradji Alexandre Drouin Alexandre Lacoste 4 191 0 09 Mar 2020
Revisiting Meta-Learning as Supervised Learning Wei-Lun Chao Han-Jia Ye De-Chuan Zhan M. Campbell Kilian Q. Weinberger OOD FedML 17 22 0 03 Feb 2020
Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification Yuqing Hu Vincent Gripon S. Pateux 12 28 0 27 Jan 2020
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning Yan Wang Wei-Lun Chao Kilian Q. Weinberger L. V. D. van der Maaten VLM 13 335 0 12 Nov 2019
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels Massimiliano Patacchiola Jack Turner Elliot J. Crowley Michael F. P. O'Boyle Amos Storkey BDL 17 19 0 11 Oct 2019
Meta-Transfer Learning through Hard Tasks Qianru Sun Yaoyao Liu Zhaozheng Chen Tat-Seng Chua Bernt Schiele 14 98 0 07 Oct 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning Han-Jia Ye Hexiang Hu De-Chuan Zhan 17 59 0 07 Jun 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 311 11,681 0 09 Mar 2017