A Closer Look at Few-shot Classification

8 April 2019

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

50 / 843 papers shown

Title
Iterative label cleaning for transductive and semi-supervised few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 42 61 0 14 Dec 2020
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? Malik Boudiaf H. Kervadec Imtiaz Masud Ziko Pablo Piantanida Ismail Ben Ayed Jose Dolz VLM 177 188 0 11 Dec 2020
Portrait Neural Radiance Fields from a Single Image Chen Gao Yichang Shih Wei-Sheng Lai Chia-Kai Liang Jia-Bin Huang 3DH CVBM 103 79 0 10 Dec 2020
Are Fewer Labels Possible for Few-shot Learning? Suichan Li Dongdong Chen Yinpeng Chen Lu Yuan Lefei Zhang Qi Chu Nenghai Yu SSL 29 3 0 10 Dec 2020
Probing Few-Shot Generalization with Attributes Mengye Ren Eleni Triantafillou Kuan-Chieh Jackson Wang James Lucas Jake C. Snell Xaq Pitkow A. Tolias R. Zemel VLM OOD 21 3 0 10 Dec 2020
Fine-grained Angular Contrastive Learning with Coarse Labels Guy Bukchin Eli Schwartz Kate Saenko Ori Shahar Rogerio Feris Raja Giryes Leonid Karlinsky 41 52 0 07 Dec 2020
Cross-Modal Generalization: Learning in Low Resource Modalities via Meta-Alignment Paul Pu Liang Peter Wu Liu Ziyin Louis-Philippe Morency Ruslan Salakhutdinov 33 30 0 04 Dec 2020
Model-Agnostic Learning to Meta-Learn A. Devos Yatin Dandi OOD 30 1 0 04 Dec 2020
SAFCAR: Structured Attention Fusion for Compositional Action Recognition Tae Soo Kim Gregory Hager CoGe 16 10 0 03 Dec 2020
SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning J. Cai B. Cai S. Shen 27 7 0 03 Dec 2020
Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding Jiechao Guan Zhiwu Lu Tao Xiang Timothy M. Hospedales 25 0 0 02 Dec 2020
Few-Shot Classification with Feature Map Reconstruction Networks Davis Wertheimer Luming Tang B. Hariharan 23 234 0 02 Dec 2020
AFD-Net: Adaptive Fully-Dual Network for Few-Shot Object Detection Longyao Liu Bo Ma Yulin Zhang Xin Yi Haozhi Li ObjD 20 22 0 30 Nov 2020
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks Han-Jia Ye Lu Han De-Chuan Zhan OffRL SSL VLM 27 27 0 30 Nov 2020
Multi-scale Adaptive Task Attention Network for Few-Shot Learning Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 29 29 0 30 Nov 2020
Annotation-Efficient Untrimmed Video Action Recognition Yixiong Zou Shanghang Zhang Guangyao Chen Yonghong Tian Kurt Keutzer J. M. F. Moura 11 5 0 30 Nov 2020
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification Xiaoxu Li Jijie Wu Z. Sun Zhanyu Ma Jie Cao Jing-Hao Xue 19 126 0 29 Nov 2020
Is Support Set Diversity Necessary for Meta-Learning? Amrith Rajagopal Setlur Oscar Li Virginia Smith 34 16 0 28 Nov 2020
Mixture-based Feature Space Learning for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 18 70 0 24 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 17 2 0 19 Nov 2020
A Nested Bi-level Optimization Framework for Robust Few Shot Learning Krishnateja Killamsetty Changbin Li Chengli Zhao Rishabh K. Iyer Feng Chen 11 10 0 13 Nov 2020
A Broad Dataset is All You Need for One-Shot Object Detection Claudio Michaelis Matthias Bethge Alexander S. Ecker ObjD 34 2 0 09 Nov 2020
FDNAS: Improving Data Privacy and Model Diversity in AutoML Chunhui Zhang Yongyuan Liang Xiaoming Yuan Lei Cheng FedML 16 1 0 06 Nov 2020
Confusable Learning for Large-class Few-Shot Classification B. Li Bo Han Zhuowei Wang Jing Jiang Guodong Long 26 2 0 06 Nov 2020
Meta-Learning with Adaptive Hyperparameters Sungyong Baik Myungsub Choi Janghoon Choi Heewon Kim Kyoung Mu Lee 31 122 0 31 Oct 2020
Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification Shuman Peng Weilian Song Martin Ester 11 3 0 31 Oct 2020
Why Do Better Loss Functions Lead to Less Transferable Features? Simon Kornblith Ting-Li Chen Honglak Lee Mohammad Norouzi FaML 45 90 0 30 Oct 2020
How Does the Task Landscape Affect MAML Performance? Liam Collins Aryan Mokhtari Sanjay Shakkottai 27 3 0 27 Oct 2020
Few-shot Decoding of Brain Activation Maps Myriam Bontonou G. Lioi Nicolas Farrugia Vincent Gripon 19 7 0 23 Oct 2020
Learning to Learn Variational Semantic Memory Xiantong Zhen Yingjun Du Huan Xiong Qiang Qiu Cees G. M. Snoek Ling Shao SSL BDL VLM DRL 15 34 0 20 Oct 2020
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings Viraj Prabhu Arjun Chandrasekaran Kate Saenko Judy Hoffman OOD 106 124 0 16 Oct 2020
Auxiliary Task Reweighting for Minimum-data Learning Baifeng Shi Judy Hoffman Kate Saenko Trevor Darrell Huijuan Xu MoMe 27 32 0 16 Oct 2020
Self-training for Few-shot Transfer Across Extreme Task Differences Cheng Perng Phoo B. Hariharan SSL 27 106 0 15 Oct 2020
Data Augmentation for Meta-Learning Renkun Ni Micah Goldblum Amr Sharaf Kezhi Kong Tom Goldstein 37 74 0 14 Oct 2020
Few-shot Action Recognition with Implicit Temporal Alignment and Pair Similarity Optimization Congqi Cao Yajuan Li Qinyi Lv Peng Wang Yanning Zhang 20 31 0 13 Oct 2020
Addressing the Real-world Class Imbalance Problem in Dermatology W. Weng Jonathan Deaton Vivek Natarajan Gamaleldin F. Elsayed Yuan Liu 21 13 0 09 Oct 2020
A Survey of Deep Meta-Learning Mike Huisman Jan N. van Rijn Aske Plaat 25 329 0 07 Oct 2020
Variational Feature Disentangling for Fine-Grained Few-Shot Classification Jingyi Xu Hieu M. Le Mingzhen Huang ShahRukh Athar Dimitris Samaras DRL 11 52 0 07 Oct 2020
Learning Clusterable Visual Features for Zero-Shot Recognition Jingyi Xu Zhixin Shu Dimitris Samaras VLM 36 0 0 07 Oct 2020
Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection Hoang Nguyen Chenwei Zhang Congying Xia Philip S. Yu 6 25 0 06 Oct 2020
Shot in the Dark: Few-Shot Learning with No Base-Class Labels Z. Chen Subhransu Maji Erik Learned-Miller SSL VLM 21 20 0 06 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
Fast Few-Shot Classification by Few-Iteration Meta-Learning A. S. Tripathi Martin Danelljan Luc Van Gool Radu Timofte 34 6 0 01 Oct 2020
MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization Yangbin Chen Yun Ma Tom Ko Jianping Wang Qing Li VLM 28 8 0 29 Sep 2020
Scalable Transfer Learning with Expert Models J. Puigcerver C. Riquelme Basil Mustafa Cédric Renggli André Susano Pinto Sylvain Gelly Daniel Keysers N. Houlsby 34 62 0 28 Sep 2020
Interventional Few-Shot Learning Zhongqi Yue Hanwang Zhang Qianru Sun Xiansheng Hua 26 225 0 28 Sep 2020
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect Kaihua Tang Jianqiang Huang Hanwang Zhang CML 20 437 0 28 Sep 2020
Domain Generalization via Semi-supervised Meta Learning Hossein Sharifi-Noghabi Hossein Asghari Nazanin Mehrasa Martin Ester OOD 14 11 0 26 Sep 2020
Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images Zixuan Xiao Wei Xue P. Zhong 33 32 0 26 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 20 2 0 23 Sep 2020