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A Closer Look at Few-shot Classification

8 April 2019

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

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Title
Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings Wenbin Li Xuesong Yang Meihao Kong Lei Wang Jing Huo Yang Gao Jiebo Luo 55 0 0 22 Jul 2021
Boosting Few-Shot Classification with View-Learnable Contrastive Learning Xu Luo Yuxuan Chen Liangjiang Wen Lili Pan Zenglin Xu VLM SSL 107 25 0 20 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 121 89 0 16 Jul 2021
FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark Liang Xu Xiaojing Lu Chenyang Yuan Xuanwei Zhang Huilin Xu ... Guoao Wei X. Pan Xin Tian Libo Qin Hai Hu ELM 99 57 0 15 Jul 2021
FLEX: Unifying Evaluation for Few-Shot NLP Jonathan Bragg Arman Cohan Kyle Lo Iz Beltagy 275 108 0 15 Jul 2021
Few-Shot Learning with a Strong Teacher Han-Jia Ye Lu Ming De-Chuan Zhan Wei-Lun Chao 99 53 0 01 Jul 2021
How to Train Your MAML to Excel in Few-Shot Classification Han-Jia Ye Wei-Lun Chao 113 50 0 30 Jun 2021
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning Yi Zhang Sheng Huang Xiao-song Peng Dan Yang 79 9 0 28 Jun 2021
Mutual-Information Based Few-Shot Classification Malik Boudiaf Imtiaz Masud Ziko Jérôme Rony Jose Dolz Ismail Ben Ayed Pablo Piantanida VLM 76 2 0 23 Jun 2021
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification Dong Lee Sae-Young Chung 89 20 0 22 Jun 2021
TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification Andrés Villa Juan-Manuel Perez-Rua Victor Escorcia Vladimir Araujo Juan Carlos Niebles Alvaro Soto 62 0 0 21 Jun 2021
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization Ondrej Bohdal Yongxin Yang Timothy M. Hospedales 95 20 0 19 Jun 2021
Episode Adaptive Embedding Networks for Few-shot Learning Fangbing Liu Qing Wang 36 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 43 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 85 7 0 15 Jun 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data Ashraful Islam Chun-Fu Chen Yikang Shen Leonid Karlinsky Rogerio Feris Richard J. Radke 133 85 0 14 Jun 2021
Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation Chenxin Li Qi Qi Xinghao Ding Yue Huang Dong Liang Yizhou Yu OOD 56 71 0 13 Jun 2021
Learngene: From Open-World to Your Learning Task Qiufeng Wang Xin Geng Shuxia Lin Shiyu Xia Lei Qi Ning Xu 90 23 0 12 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 123 48 0 10 Jun 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 97 23 0 09 Jun 2021
Attentional Meta-learners for Few-shot Polythetic Classification Ben Day Ramón Viñas Torné Nikola Simidjievski Pietro Lio 32 1 0 09 Jun 2021
FedBABU: Towards Enhanced Representation for Federated Image Classification Jaehoon Oh Sangmook Kim Se-Young Yun FedML 126 204 0 04 Jun 2021
Personalizing Pre-trained Models Mina Khan P. Srivatsa Advait Rane Shriram Chenniappa A. Hazariwala Pattie Maes VLM 91 5 0 02 Jun 2021
One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations Henry Kvinge Scott Howland Nico Courts Lauren A. Phillips John Buckheit ... J. H. Lee Sandeep Tiwari J. Hibler Court D. Corley Nathan Oken Hodas OODD OOD 33 2 0 02 Jun 2021
Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation Binghao Liu Yao Ding Jianbin Jiao Xiangyang Ji QiXiang Ye 102 48 0 01 Jun 2021
ProtAugment: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning Thomas Dopierre Christophe Gravier Wilfried Logerais 77 32 0 27 May 2021
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift Etienne Bennequin Victor Bouvier Myriam Tami Antoine Toubhans C´eline Hudelot 121 13 0 25 May 2021
Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning Kun Yan Zied Bouraoui Ping Wang Shoaib Jameel Steven Schockaert 59 24 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 104 126 0 17 May 2021
Learning a Universal Template for Few-shot Dataset Generalization Eleni Triantafillou Hugo Larochelle R. Zemel Vincent Dumoulin 84 95 0 14 May 2021
Ensemble Making Few-Shot Learning Stronger Qing Lin Yongbin Liu Wen Wen Z. Tao ViT 26 12 0 12 May 2021
Few-Shot Learning by Integrating Spatial and Frequency Representation Xiangyu Chen Guanghui Wang 82 27 0 11 May 2021
Incremental Few-Shot Instance Segmentation Dan Andrei Ganea B. Boom R. Poppe CLL 89 70 0 11 May 2021
Continual Mixed-Language Pre-Training for Extremely Low-Resource Neural Machine Translation Zihan Liu Genta Indra Winata Pascale Fung VLM CLL 96 54 0 09 May 2021
Diffusion Mechanism in Residual Neural Network: Theory and Applications Tangjun Wang Zehao Dou Chenglong Bao Zuoqiang Shi DiffM 64 9 0 07 May 2021
Few-shot Partial Multi-view Learning Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Jiebo Luo 99 1 0 05 May 2021
Effectively Leveraging Attributes for Visual Similarity Samarth Mishra Zhongping Zhang Yuan-Chung Shen Ranjitha Kumar Venkatesh Saligrama Bryan A. Plummer 78 10 0 04 May 2021
Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity Saeed Vahidian Mahdi Morafah Bill Lin 115 61 0 02 May 2021
Subspace Representation Learning for Few-shot Image Classification Ting-Yao Hu Zhi-Qi Cheng Alexander G. Hauptmann 79 5 0 02 May 2021
A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection Shelly Sheynin Sagie Benaim Lior Wolf 73 81 0 29 Apr 2021
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation Haoqing Wang Zhihong Deng 110 125 0 29 Apr 2021
Rich Semantics Improve Few-shot Learning Mohamed Afham Salman Khan Muhammad Haris Khan Muzammal Naseer Fahad Shahbaz Khan VLM 108 24 0 26 Apr 2021
Stateless Neural Meta-Learning using Second-Order Gradients Mike Huisman Aske Plaat Jan N. van Rijn 60 7 0 21 Apr 2021
Few-shot learning via tensor hallucination Michalis Lazarou Yannis Avrithis Tania Stathaki 50 4 0 19 Apr 2021
Few-shot Continual Learning: a Brain-inspired Approach Liyuan Wang Qian Li Yi Zhong Jun Zhu CLL 60 4 0 19 Apr 2021
On Learning the Geodesic Path for Incremental Learning Christian Simon Piotr Koniusz Mehrtash Harandi CLL 81 122 0 17 Apr 2021
Crossover Learning for Fast Online Video Instance Segmentation Shusheng Yang Yuxin Fang Xinggang Wang Yu Li Chen Fang Ying Shan Bin Feng Wenyu Liu 117 105 0 13 Apr 2021
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection Nadine Chang Zhiding Yu Yu-Xiong Wang Anima Anandkumar Sanja Fidler J. Álvarez 132 39 0 12 Apr 2021
How Sensitive are Meta-Learners to Dataset Imbalance? Mateusz Ochal Massimiliano Patacchiola Amos Storkey Jose Vazquez Sen Wang 65 3 0 12 Apr 2021
Reinforced Attention for Few-Shot Learning and Beyond Jie Hong Pengfei Fang Weihao Li Tong Zhang Christian Simon Mehrtash Harandi L. Petersson 65 51 0 09 Apr 2021