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A Closer Look at Few-shot Classification

8 April 2019

Papers citing "A Closer Look at Few-shot Classification"

45 / 845 papers shown

Title
Meta-Q-Learning Rasool Fakoor Pratik Chaudhari Stefano Soatto Alex Smola OffRL 95 149 0 30 Sep 2019
Meta-learning algorithms for Few-Shot Computer Vision Etienne Bennequin VLM 76 6 0 30 Sep 2019
A Theoretical Analysis of the Number of Shots in Few-Shot Learning Tianshi Cao M. Law Sanja Fidler 96 63 0 25 Sep 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 321 648 0 19 Sep 2019
Meta-Neighborhoods Siyuan Shan Yang Li Junier Oliva 142 15 0 18 Sep 2019
ProtoGAN: Towards Few Shot Learning for Action Recognition Sai Kumar Dwivedi Vikram Gupta Rahul Mitra Shuaib Ahmed Arjun Jain 97 96 0 17 Sep 2019
Learning to Propagate for Graph Meta-Learning Lu Liu Dinesh Manocha Guodong Long Jing Jiang Chengqi Zhang 112 97 0 11 Sep 2019
Domain-Agnostic Few-Shot Classification by Learning Disparate Modulators Yongseok Choi Junyoung Park Subin Yi D.-Y. Cho OOD 30 0 0 11 Sep 2019
PARN: Position-Aware Relation Networks for Few-Shot Learning Ziyang Wu Yuwei Li Lihua Guo Kui Jia 75 88 0 10 Sep 2019
A Baseline for Few-Shot Image Classification Guneet Singh Dhillon Pratik Chaudhari Avinash Ravichandran Stefano Soatto 134 584 0 06 Sep 2019
Few-shot Text Classification with Distributional Signatures Yujia Bao Menghua Wu Shiyu Chang Regina Barzilay 92 168 0 16 Aug 2019
Meta Reasoning over Knowledge Graphs Hong Wang Wenhan Xiong Mo Yu Xiaoxiao Guo Shiyu Chang William Yang Wang ReLM LRM 75 8 0 13 Aug 2019
Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification Huaxi Huang Junjie Zhang Jian Zhang Jingsong Xu Qiang Wu 131 122 0 04 Aug 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning Puneet Mangla M. Singh Abhishek Sinha Nupur Kumari V. Balasubramanian Balaji Krishnamurthy SSL 113 329 0 28 Jul 2019
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference Cuong C. Nguyen Thanh-Toan Do G. Carneiro OOD BDL UQCV 83 54 0 27 Jul 2019
Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition Huseyin Coskun Zeeshan Zia Bugra Tekin Federica Bogo Nassir Navab Federico Tombari H. Sawhney 79 27 0 22 Jul 2019
Revisiting Metric Learning for Few-Shot Image Classification Xiaomeng Li Lequan Yu Chi-Wing Fu Meng Fang Pheng-Ann Heng VLM 96 96 0 06 Jul 2019
Few-Shot Video Classification via Temporal Alignment Kaidi Cao Jingwei Ji Zhangjie Cao C. Chang Juan Carlos Niebles AI4TS 93 242 0 27 Jun 2019
Boosting Supervision with Self-Supervision for Few-shot Learning Jong-Chyi Su Subhransu Maji B. Hariharan SSL AI4MH 63 19 0 17 Jun 2019
Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition Ping Hu Ximeng Sun Kate Saenko Stan Sclaroff OCL CoGe 75 25 0 11 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning Han-Jia Ye Hexiang Hu De-Chuan Zhan 104 59 0 07 Jun 2019
Adaptive Gradient-Based Meta-Learning Methods M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 128 356 0 06 Jun 2019
Baby steps towards few-shot learning with multiple semantics Eli Schwartz Leonid Karlinsky Rogerio Feris Raja Giryes A. Bronstein VLM 110 106 0 05 Jun 2019
Regression Networks for Meta-Learning Few-Shot Classification A. Devos Matthias Grossglauser 64 12 0 31 May 2019
Adaptive Deep Kernel Learning Prudencio Tossou Basile Dura François Laviolette M. Marchand Alexandre Lacoste 98 29 0 28 May 2019
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal Hongyang Li David Eigen Samuel F. Dodge Matthew D. Zeiler Xiaogang Wang VLM 122 341 0 27 May 2019
Learning to learn via Self-Critique Antreas Antoniou Amos Storkey SSL 98 17 0 24 May 2019
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning Sung Whan Yoon Jun Seo Jaekyun Moon 79 275 0 16 May 2019
Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training Avinash Ravichandran Rahul Bhotika Stefano Soatto 81 170 0 10 May 2019
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph Lu Liu Dinesh Manocha Guodong Long Jing Jiang Lina Yao Chengqi Zhang 106 72 0 10 May 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Yaoyao Liu Bernt Schiele Qianru Sun BDL 146 128 0 17 Apr 2019
Semi-supervised Domain Adaptation via Minimax Entropy Kuniaki Saito Donghyun Kim Stan Sclaroff Trevor Darrell Kate Saenko 86 622 0 13 Apr 2019
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task Kenta Hama Takashi Matsubara K. Uehara Jianfei Cai BDL UQCV 40 6 0 09 Apr 2019
Hyperbolic Image Embeddings Valentin Khrulkov L. Mirvakhabova E. Ustinova Ivan Oseledets Victor Lempitsky 112 296 0 03 Apr 2019
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification Nikita Dvornik Cordelia Schmid Julien Mairal VLM 126 198 0 27 Mar 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods Guo-Jun Qi Jiebo Luo SSL 61 246 0 27 Mar 2019
GOGGLES: Automatic Image Labeling with Affinity Coding Nilaksh Das Sanya Chaba Renzhi Wu Sakshi Gandhi Duen Horng Chau Xu Chu VLM 65 34 0 11 Mar 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples Eleni Triantafillou Tyler Lixuan Zhu Vincent Dumoulin Pascal Lamblin Utku Evci ... Ross Goroshin Carles Gelada Kevin Swersky Pierre-Antoine Manzagol Hugo Larochelle 156 620 0 07 Mar 2019
Learning Compositional Representations for Few-Shot Recognition P. Tokmakov Yu-Xiong Wang M. Hebert OCL 89 126 0 21 Dec 2018
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha 205 670 0 10 Dec 2018
ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection D. Cozzolino Justus Thies Andreas Rossler Christian Riess Matthias Nießner L. Verdoliva AAML 94 270 0 06 Dec 2018
RelationNet2: Deep Comparison Columns for Few-Shot Learning Xueting Zhang Yuting Qiang Flood Sung Yongxin Yang Timothy M. Hospedales 64 18 0 17 Nov 2018
Incremental Few-Shot Learning with Attention Attractor Networks Mengye Ren Renjie Liao Ethan Fetaya R. Zemel CLL 108 181 0 16 Oct 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 176 1,333 0 23 May 2018
Federated Meta-Learning with Fast Convergence and Efficient Communication Fei Chen Mi Luo Zhenhua Dong Zhenguo Li Xiuqiang He FedML 83 398 0 22 Feb 2018