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
GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions Gene Chou Ilya Chugunov Felix Heide 3DPC 30 34 0 06 Jun 2022
Guided Deep Metric Learning Jorge Gonzalez-Zapata Iván Reyes-Amezcua Daniel Flores-Araiza M. Mendez-Ruiz G. Ochoa-Ruiz Andres Mendez-Vazquez FedML 32 5 0 04 Jun 2022
The Spike Gating Flow: A Hierarchical Structure Based Spiking Neural Network for Online Gesture Recognition Zihao Zhao Yanhong Wang Qiaosha Zou Tie Xu Fangbo Tao Jiansong Zhang Xiaoan Wang Chuanjin Richard Shi Junwen Luo Yuan Xie 45 1 0 04 Jun 2022
FHIST: A Benchmark for Few-shot Classification of Histological Images Fereshteh Shakeri Malik Boudiaf S. Mohammadi Ivaxi Sheth Mohammad Havaei Ismail Ben Ayed Samira Ebrahimi Kahou OOD VLM 36 21 0 31 May 2022
HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks Marcin Przewiȩźlikowski P. Przybysz Jacek Tabor Maciej Ziȩba Przemysław Spurek 28 18 0 31 May 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 186 49 0 30 May 2022
Few-shot Class-incremental Learning for 3D Point Cloud Objects T. Chowdhury A. Cheraghian Sameera Ramasinghe Sahar Ahmadi Morteza Saberi Shafin Rahman 3DPC 25 17 0 30 May 2022
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification Zaiyun Yang VLM DRL 21 1 0 30 May 2022
AutoTSG: Learning and Synthesis for Incident Troubleshooting Manish Shetty Chetan Bansal Sai Pramod Upadhyayula Arjun Radhakrishna Anurag Gupta 56 19 0 26 May 2022
Naive Few-Shot Learning: Uncovering the fluid intelligence of machines T. Barak Y. Loewenstein AIMat 24 0 0 24 May 2022
Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection Chendong Zhao Jianzong Wang LeiLai Li Xiaoyang Qu Jing Xiao 60 10 0 24 May 2022
Meta-Learning Regrasping Strategies for Physical-Agnostic Objects Ni Gao Jingyu Zhang Ruijie Chen Ngo Anh Vien Hanna Ziesche Gerhard Neumann 41 10 0 23 May 2022
Diversity vs. Recognizability: Human-like generalization in one-shot generative models Victor Boutin Lakshya Singhal Xavier Thomas Thomas Serre 25 7 0 20 May 2022
Set-based Meta-Interpolation for Few-Task Meta-Learning Seanie Lee Bruno Andreis Kenji Kawaguchi Juho Lee Sung Ju Hwang 43 9 0 20 May 2022
A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction Yang Liu Jinpeng Hu Xiang Wan Tsung-Hui Chang 27 39 0 19 May 2022
TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision Alexander Bartler Florian Bender Felix Wiewel B. Yang TTA 40 9 0 18 May 2022
Uncertainty-based Network for Few-shot Image Classification Minglei Yuan Qian Xu Chunhao Cai Yin-Dong Zheng Tao Wang Tong Lu UQCV 43 3 0 17 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 50 344 0 13 May 2022
How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation Yujin Kim Jaehoon Oh Sungnyun Kim Se-Young Yun 29 6 0 13 May 2022
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning Jaehoon Oh Sungnyun Kim Namgyu Ho Jin-Hwa Kim Hwanjun Song Se-Young Yun 22 6 0 11 May 2022
Privacy Enhancement for Cloud-Based Few-Shot Learning Archit Parnami Muhammad Usama Liyue Fan Minwoo Lee 27 1 0 10 May 2022
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges Zhenghua Chen Min-man Wu Alvin Chan Xiaoli Li Yew-Soon Ong 24 6 0 08 May 2022
PGADA: Perturbation-Guided Adversarial Alignment for Few-shot Learning Under the Support-Query Shift Siyang Jiang Wei Ding Hsi-Wen Chen Minghai Chen OOD 31 6 0 08 May 2022
A Closer Look at Few-shot Image Generation Yunqing Zhao Henghui Ding Houjing Huang Ngai-man Cheung 34 72 0 08 May 2022
Comparison Knowledge Translation for Generalizable Image Classification Zunlei Feng Tian Qiu Sai Wu Xi Jin Zengliang He Min-Gyoo Song Huiqiong Wang VLM 11 0 0 07 May 2022
Generating Representative Samples for Few-Shot Classification Jingyi Xu Hieu M. Le VLM 23 61 0 05 May 2022
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs Song Wang Yushun Dong Xiao Huang Chen Chen Jundong Li 28 23 0 05 May 2022
Zero-Episode Few-Shot Contrastive Predictive Coding: Solving intelligence tests without prior training T. Barak Y. Loewenstein 13 0 0 04 May 2022
Self-Taught Metric Learning without Labels Sungyeon Kim Dongwon Kim Minsu Cho Suha Kwak SSL 27 20 0 04 May 2022
Meta Learning for Natural Language Processing: A Survey Hung-yi Lee Shang-Wen Li Ngoc Thang Vu 57 42 0 03 May 2022
Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus Yun Yvonna Li Zhe Liu Lina Yao Molly V. Lucas Jessica J.M.Monaghan Yu Zhang 20 7 0 03 May 2022
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification M. Mendez-Ruiz F. Lopez-Tiro Jonathan El Beze V. Estrade G. Ochoa-Ruiz Jacques Hubert Andres Mendez-Vazquez C. Daul OOD 17 7 0 02 May 2022
Meta-Learning Based Early Fault Detection for Rolling Bearings via Few-Shot Anomaly Detection Wen-qi Song Di Wu Weiming Shen Benoit Boulet 14 3 0 27 Apr 2022
Meta-free few-shot learning via representation learning with weight averaging Kuilin Chen Chi-Guhn Lee 19 5 0 26 Apr 2022
Realistic Evaluation of Transductive Few-Shot Learning Olivier Veilleux Malik Boudiaf Pablo Piantanida Ismail Ben Ayed 25 35 0 24 Apr 2022
Few-Shot Speaker Identification Using Depthwise Separable Convolutional Network with Channel Attention Yanxiong Li Wucheng Wang Hao Chen Wenchang Cao Wei Li Qianhua He 30 5 0 24 Apr 2022
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition Satoshi Tsutsui Yanwei Fu David J. Crandall GAN 17 12 0 22 Apr 2022
Few-shot learning for medical text: A systematic review Yao Ge Yuting Guo Yuan-Chi Yang M. Al-garadi A. Sarker 22 21 0 21 Apr 2022
Learning Compositional Representations for Effective Low-Shot Generalization Samarth Mishra Pengkai Zhu Venkatesh Saligrama OCL 27 3 0 17 Apr 2022
Multi-Modal Few-Shot Object Detection with Meta-Learning-Based Cross-Modal Prompting G. Han Long Chen Jiawei Ma Shiyuan Huang Ramalingam Chellappa Shih-Fu Chang VLM 32 20 0 16 Apr 2022
Visual Attention Methods in Deep Learning: An In-Depth Survey Mohammed Hassanin Saeed Anwar Ibrahim Radwan Fahad Shahbaz Khan Ajmal Mian 29 145 0 16 Apr 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference S. Hu Da Li Jan Stuhmer Minyoung Kim Timothy M. Hospedales 27 188 0 15 Apr 2022
AutoFi: Towards Automatic WiFi Human Sensing via Geometric Self-Supervised Learning Jianfei Yang Xinyan Chen Han Zou Dazhuo Wang Lihua Xie 27 29 0 12 Apr 2022
Few-shot Learning with Noisy Labels Kevin J Liang Samrudhdhi B. Rangrej Vladan Petrovic Tal Hassner NoLa 27 47 0 12 Apr 2022
A Simple Approach to Adversarial Robustness in Few-shot Image Classification Akshayvarun Subramanya Hamed Pirsiavash VLM 23 6 0 11 Apr 2022
GDC- Generalized Distribution Calibration for Few-Shot Learning Shakti Kumar Hussain Zaidi 31 8 0 11 Apr 2022
MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification Jianhai Zhang M. Maimaiti Xing Gao Yuanhang Zheng Ji Zhang 21 9 0 11 Apr 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification Jiangtao Xie Fei Long Jiaming Lv Qilong Wang P. Li 23 160 0 09 Apr 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling R. Tao Han Zhang Yutong Zheng Marios Savvides 36 20 0 07 Apr 2022
Interval Bound Interpolation for Few-shot Learning with Few Tasks Shounak Datta S. S. Mullick A. Chakrabarty Swagatam Das 36 2 0 07 Apr 2022