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Learning to Compare: Relation Network for Few-Shot Learning

16 November 2017

Li Zhang

Timothy M. Hospedales

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Papers citing "Learning to Compare: Relation Network for Few-Shot Learning"

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Title
Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-Learning Andrei Boiarov K. Khabarlak Igor Yastrebov 154 0 0 25 Oct 2021
A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark Zhenxi Zhu Limin Wang Sheng Guo Gangshan Wu 145 32 0 24 Oct 2021
Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples Y. Tan Penny Chong Jiamei Sun Ngai-Man Cheung Yuval Elovici Alexander Binder AAML 61 0 0 24 Oct 2021
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation Giorgio Giannone Fattane Pourakpour DRL BDL 57 10 0 23 Oct 2021
GCCN: Global Context Convolutional Network Ali Hamdi Flora D. Salim D. Kim 73 1 0 22 Oct 2021
Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation A. Tavera Fabio Cermelli Carlo Masone Barbara Caputo 168 20 0 22 Oct 2021
On Hard Episodes in Meta-Learning S. Basu Amr Sharaf Nicolò Fusi Soheil Feizi 54 1 0 21 Oct 2021
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning Linlan Zhao Dashan Guo Yunlu Xu Liang Qiao Zhanzhan Cheng Shiliang Pu Yi Niu Xi Fang CLL 75 2 0 21 Oct 2021
Few-Shot Temporal Action Localization with Query Adaptive Transformer Sauradip Nag Xiatian Zhu Tao Xiang 73 19 0 20 Oct 2021
Contextual Gradient Scaling for Few-Shot Learning Sang Hyuk Lee Seunghyun Lee B. Song 67 7 0 20 Oct 2021
Who calls the shots? Rethinking Few-Shot Learning for Audio Yu Wang Nicholas J. Bryan Justin Salamon M. Cartwright J. P. Bello VLM 130 25 0 18 Oct 2021
Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning Uche M. Osahor Nasser M. Nasrabadi 61 11 0 18 Oct 2021
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression Chenhe Dong Yaliang Li Ying Shen Minghui Qiu VLM 99 7 0 16 Oct 2021
Meta-Learning with Adjoint Methods Shibo Li Zheng Wang A. Narayan Robert M. Kirby Shandian Zhe 69 4 0 16 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 109 11 0 14 Oct 2021
Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules Rangeet Pan Hridesh Rajan MoMe 51 32 0 11 Oct 2021
A Closer Look at Prototype Classifier for Few-shot Image Classification Mingcheng Hou Issei Sato VLM 103 21 0 11 Oct 2021
Using Human-Guided Causal Knowledge for More Generalized Robot Task Planning Semir Tatlidil Yanqi Liu Emily Sheetz R. I. Bahar Steven Sloman Brown University 96 0 0 09 Oct 2021
Deep Long-Tailed Learning: A Survey Yifan Zhang Bingyi Kang Bryan Hooi Shuicheng Yan Jiashi Feng VLM 117 595 0 09 Oct 2021
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification Jinghan Sun Dong Wei Kai Ma Liansheng Wang Yefeng Zheng 70 8 0 09 Oct 2021
SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification Baoquan Zhang Shanshan Feng Xutao Li Yunming Ye Rui Ye 87 43 0 09 Oct 2021
Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning Sungyong Baik Janghoon Choi Heewon Kim Dohee Cho Jaesik Min Kyoung Mu Lee 87 104 0 08 Oct 2021
Weak Novel Categories without Tears: A Survey on Weak-Shot Learning Li Niu VLM OffRL 72 2 0 06 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari Ehsan Saleh David A. Forsyth Yu-Xiong Wang 93 13 0 06 Oct 2021
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning Cat P. Le Juncheng Dong Mohammadreza Soltani Vahid Tarokh 96 11 0 05 Oct 2021
Learning Online Visual Invariances for Novel Objects via Supervised and Self-Supervised Training Valerio Biscione J. Bowers 89 12 0 04 Oct 2021
Meta-learning an Intermediate Representation for Few-shot Block-wise Prediction of Landslide Susceptibility Li Chen Yulin Ding Saeid Pirasteh Han Hu Qing Zhu Haowei Zeng Haojia Yu Qisen Shang Yongfei Song 92 10 0 03 Oct 2021
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond Risheng Liu Yaohua Liu Shangzhi Zeng Jin Zhang 113 83 0 01 Oct 2021
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation Jay Patravali Gaurav Mittal Ye Yu Fuxin Li Mei Chen 92 19 0 30 Sep 2021
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis Qi Chen Changjian Shui M. Marchand 99 44 0 29 Sep 2021
Fine-Grained Zero-Shot Learning with DNA as Side Information Sarkhan Badirli Zeynep Akata G. Mohler Christel Picard M. M. Dundar SyDa BDL 123 36 0 29 Sep 2021
PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask Xiaoliu Luo Zhuotao Tian Taiping Zhang Bei Yu Yuan Yan Tang Jiaya Jia 98 39 0 28 Sep 2021
Multimodality in Meta-Learning: A Comprehensive Survey Yao Ma Shilin Zhao Weixiao Wang Yaoman Li Irwin King 102 54 0 28 Sep 2021
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images Pierre Le Jeune M. Lebbah Anissa Zergaïnoh-Mokraoui Hanene Azzag ObjD 70 9 0 27 Sep 2021
Sparse Spatial Transformers for Few-Shot Learning Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen ViT 64 34 0 27 Sep 2021
Disentangled Feature Representation for Few-shot Image Classification Hao Cheng Yufei Wang Haoliang Li Alex C. Kot Bihan Wen 135 30 0 26 Sep 2021
Learning by Examples Based on Multi-level Optimization Shentong Mo P. Xie 69 0 0 22 Sep 2021
A Few-Shot Learning Approach for Sound Source Distance Estimation Using Relation Networks Amirreza Sobhdel R. Razavi-Far 75 4 0 22 Sep 2021
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models Ivan Vulić Pei-hao Su Sam Coope D. Gerz Paweł Budzianowski I. Casanueva Nikola Mrkvsić Tsung-Hsien Wen 100 37 0 21 Sep 2021
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-Xiong Wang José M. F. Moura 81 29 0 20 Sep 2021
Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks Gaël Guibon Matthieu Labeau Hélène Flamein Luce Lefeuvre Chloé Clavel 81 34 0 20 Sep 2021
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning Shuai Shao Lei Xing Yan Wang Rui Xu Chunyan Zhao Yanjiang Wang Baodi Liu 96 35 0 16 Sep 2021
Few-Shot Object Detection by Attending to Per-Sample-Prototype Hojun Lee Myunggi Lee Nojun Kwak ObjD 98 32 0 16 Sep 2021
Partner-Assisted Learning for Few-Shot Image Classification Jiawei Ma Hanchen Xie G. Han Shih-Fu Chang Aram Galstyan Wael AbdAlmageed VLM 85 68 0 15 Sep 2021
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD Chen Fan Parikshit Ram Sijia Liu FedML 88 17 0 15 Sep 2021
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification Jedrzej Kozerawski M. Turk VLM MQ 69 5 0 14 Sep 2021
Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning Chi Zhang Henghui Ding Guosheng Lin Ruibo Li Changhu Wang Chunhua Shen 104 41 0 13 Sep 2021
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention Jiawei Chen Hongyu Lin Xianpei Han Le Sun 143 27 0 13 Sep 2021
Fine-Grained Few Shot Learning with Foreground Object Transformation Chaofei Wang S. Song Qisen Yang Xiang Li Gao Huang 93 24 0 13 Sep 2021
Exploring Task Difficulty for Few-Shot Relation Extraction Jiale Han Bo Cheng Wei Lu 85 79 0 12 Sep 2021