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A Baseline for Few-Shot Image Classification

International Conference on Learning Representations (ICLR), 2019

6 September 2019

Papers citing "A Baseline for Few-Shot Image Classification"

50 / 339 papers shown

Title
Diffusion Mechanism in Residual Neural Network: Theory and ApplicationsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Tangjun Wang Zehao Dou Chenglong Bao Zuoqiang Shi DiffM 217 18 0 07 May 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 785 842 0 22 Apr 2021
Embedding Adaptation is Still Needed for Few-Shot Learning Sébastien M. R. Arnold Fei Sha VLM 215 7 0 15 Apr 2021
How Sensitive are Meta-Learners to Dataset Imbalance? Mateusz Ochal Massimiliano Patacchiola Amos Storkey Jose Vazquez Sen Wang 131 3 0 12 Apr 2021
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark Vincent Dumoulin N. Houlsby Utku Evci Xiaohua Zhai Ross Goroshin Sylvain Gelly Hugo Larochelle 178 31 0 06 Apr 2021
Attribute-Based Robotic Grasping with One-Grasp AdaptationIEEE International Conference on Robotics and Automation (ICRA), 2021 Yang Yang Yuanhao Liu Hengyue Liang Xibai Lou Changhyun Choi 121 18 0 06 Apr 2021
Revisiting Local Descriptor for Improved Few-Shot Classification J. He Richang Hong Xueliang Liu Mingliang Xu Qianru Sun 246 31 0 30 Mar 2021
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot LearningAAAI Conference on Artificial Intelligence (AAAI), 2021 Baoquan Zhang Xutao Li Shanshan Feng Yunming Ye Rui Ye 129 46 0 26 Mar 2021
Universal Representation Learning from Multiple Domains for Few-shot ClassificationIEEE International Conference on Computer Vision (ICCV), 2021 Weihong Li Xialei Liu Hakan Bilen SSL OOD VLM 201 108 0 25 Mar 2021
Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation Rongguang Wang Pratik Chaudhari Christos Davatzikos OOD 395 56 0 23 Mar 2021
Multi-level Metric Learning for Few-shot Image RecognitionInternational Conference on Artificial Neural Networks (ICANN), 2021 Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 187 24 0 21 Mar 2021
Structure-Enhanced Meta-Learning For Few-Shot Graph ClassificationAI Open (AO), 2021 Shunyu Jiang Fuli Feng Weijia Chen Xiang Li Xiangnan He 383 20 0 05 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot LearningComputer Vision and Pattern Recognition (CVPR), 2021 Mamshad Nayeem Rizve Salman Khan Fahad Shahbaz Khan M. Shah 211 132 0 01 Mar 2021
Universal-Prototype Enhancing for Few-Shot Object DetectionIEEE International Conference on Computer Vision (ICCV), 2021 Aming Wu Yahong Han Linchao Zhu Yi Yang ObjD 220 100 0 01 Mar 2021
Enabling the Network to Surf the Internet Zhuoling Li Haohan Wang Tymoteusz Świstek Weixin Chen Yuanzheng Li Haoqian Wang CLL 194 4 0 24 Feb 2021
Large-Scale Meta-Learning with Continual Trajectory ShiftingInternational Conference on Machine Learning (ICML), 2021 Jaewoong Shin Haebeom Lee Boqing Gong Sung Ju Hwang 139 18 0 14 Feb 2021
Model-Agnostic Graph Regularization for Few-Shot Learning Ethan Shen Maria Brbic Nicholas Monath Jiaqi Zhai Manzil Zaheer J. Leskovec 131 4 0 14 Feb 2021
Meta-learning with negative learning ratesInternational Conference on Learning Representations (ICLR), 2021 A. Bernacchia 130 17 0 01 Feb 2021
CORL: Compositional Representation Learning for Few-Shot ClassificationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021 Ju He Adam Kortylewski Alan Yuille OCL 146 12 0 28 Jan 2021
Similarity of Classification Tasks Cuong C. Nguyen Thanh-Toan Do G. Carneiro 138 7 0 27 Jan 2021
Supervised Momentum Contrastive Learning for Few-Shot Classification Orchid Majumder Avinash Ravichandran Subhransu Maji Alessandro Achille M. Polito Stefano Soatto SSL 174 13 0 26 Jan 2021
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks N. Simard Guillaume Lagrange SSL 93 7 0 24 Jan 2021
Reproducibility, Replicability and Beyond: Assessing Production Readiness of Aspect Based Sentiment Analysis in the WildEuropean Conference on Information Retrieval (ECIR), 2021 Rajdeep Mukherjee Shreyas Shetty S. Chattopadhyay Subhadeep Maji S. Datta Pawan Goyal 136 16 0 23 Jan 2021
Machine learning with limited data Fupin Yao VLM 102 8 0 18 Jan 2021
Few-Shot Learning with Class ImbalanceIEEE Transactions on Artificial Intelligence (IEEE TAI), 2021 Mateusz Ochal Massimiliano Patacchiola Amos Storkey Jose Vazquez Sen Wang 255 50 0 07 Jan 2021
Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple ClassifierIEEE International Conference on Computer Vision (ICCV), 2021 Arkabandhu Chowdhury Mingchao Jiang Swarat Chaudhuri C. Jermaine VLM 174 48 0 03 Jan 2021
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots MattersAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 Mengjie Zhao Yi Zhu Ehsan Shareghi Ivan Vulić Roi Reichart Anna Korhonen Hinrich Schütze 215 66 0 31 Dec 2020
Spatial Contrastive Learning for Few-Shot Classification Yassine Ouali C´eline Hudelot Myriam Tami 127 58 0 26 Dec 2020
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain AdaptationIEEE International Conference on Computer Vision (ICCV), 2020 Viraj Prabhu Shivam Khare Deeksha Kartik Judy Hoffman 287 150 0 21 Dec 2020
PTN: A Poisson Transfer Network for Semi-supervised Few-shot LearningAAAI Conference on Artificial Intelligence (AAAI), 2020 Huaxi Huang Junjie Zhang Jian Zhang Qiang Wu Chang Xu 284 29 0 20 Dec 2020
On Episodes, Prototypical Networks, and Few-shot LearningNeural Information Processing Systems (NeurIPS), 2020 Steinar Laenen Luca Bertinetto 196 122 0 17 Dec 2020
Teach me to segment with mixed supervision: Confident students become mastersInformation Processing in Medical Imaging (IPMI), 2020 Jose Dolz Christian Desrosiers Ismail Ben Ayed 226 28 0 15 Dec 2020
Iterative label cleaning for transductive and semi-supervised few-shot learningIEEE International Conference on Computer Vision (ICCV), 2020 Michalis Lazarou Tania Stathaki Yannis Avrithis 428 73 0 14 Dec 2020
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?Computer Vision and Pattern Recognition (CVPR), 2020 Malik Boudiaf H. Kervadec Imtiaz Masud Ziko Pablo Piantanida Ismail Ben Ayed Jose Dolz VLM 417 221 0 11 Dec 2020
Are Fewer Labels Possible for Few-shot Learning? Suichan Li Dongdong Chen Yinpeng Chen Lu Yuan Guang Dai Qi Chu Nenghai Yu SSL 135 3 0 10 Dec 2020
SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning J. Cai B. Cai S. Shen 83 8 0 03 Dec 2020
ReMP: Rectified Metric Propagation for Few-Shot Learning Yang Zhao Chunyuan Li Ping Yu Changyou Chen 235 7 0 02 Dec 2020
Multi-scale Adaptive Task Attention Network for Few-Shot LearningInternational Conference on Pattern Recognition (ICPR), 2020 Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 192 32 0 30 Nov 2020
Match Them Up: Visually Explainable Few-shot Image Classification Bowen Wang Liangzhi Li Manisha Verma Yuta Nakashima R. Kawasaki Hajime Nagahara FAtt 193 33 0 25 Nov 2020
Mixture-based Feature Space Learning for Few-shot Image ClassificationIEEE International Conference on Computer Vision (ICCV), 2020 Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 291 87 0 24 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 158 3 0 19 Nov 2020
A Nested Bi-level Optimization Framework for Robust Few Shot LearningAAAI Conference on Artificial Intelligence (AAAI), 2020 Krishnateja Killamsetty Changbin Li Chengli Zhao Rishabh K. Iyer Feng Chen 204 10 0 13 Nov 2020
Lifelong Learning Without a Task Oracle A. Rios Laurent Itti CLL 69 13 0 09 Nov 2020
A Broad Dataset is All You Need for One-Shot Object Detection Claudio Michaelis Matthias Bethge Alexander S. Ecker ObjD 218 2 0 09 Nov 2020
An Information-Geometric Distance on the Space of TasksInternational Conference on Machine Learning (ICML), 2020 Yansong Gao Pratik Chaudhari 171 22 0 01 Nov 2020
How Does the Task Landscape Affect MAML Performance? Liam Collins Aryan Mokhtari Sanjay Shakkottai 303 4 0 27 Oct 2020
Learning to Learn Variational Semantic MemoryNeural Information Processing Systems (NeurIPS), 2020 Xiantong Zhen Yingjun Du Huan Xiong Qiang Qiu Cees G. M. Snoek Ling Shao SSL BDL VLM DRL 235 36 0 20 Oct 2020
Self-training for Few-shot Transfer Across Extreme Task Differences Cheng Perng Phoo B. Hariharan SSL 285 124 0 15 Oct 2020
Deep Ensembles for Low-Data Transfer Learning Basil Mustafa C. Riquelme J. Puigcerver andAndré Susano Pinto Daniel Keysers N. Houlsby FedML OOD 162 26 0 14 Oct 2020
Shot in the Dark: Few-Shot Learning with No Base-Class Labels Z. Chen Subhransu Maji Erik Learned-Miller SSL VLM 141 23 0 06 Oct 2020