v1v2 (latest)

Learning to Compare: Relation Network for Few-Shot Learning

16 November 2017

Li Zhang

Timothy M. Hospedales

ArXiv (abs)PDF HTML

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

50 / 1,567 papers shown

Title
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning Simone Martone Francesco Manigrasso Lamberti Fabrizio Lia Morra 67 4 0 26 Jun 2022
p-Meta: Towards On-device Deep Model Adaptation Zhongnan Qu Zimu Zhou Yongxin Tong Lothar Thiele 75 13 0 25 Jun 2022
Task-Adaptive Few-shot Node Classification Song Wang Kaize Ding Chuxu Zhang Chen Chen Jundong Li OffRL 98 51 0 23 Jun 2022
Few-Shot Non-Parametric Learning with Deep Latent Variable Model Zhiying Jiang Yi-Zhu Dai Ji Xin Ming Li Jimmy J. Lin 72 5 0 23 Jun 2022
MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation Ehtesham Iqbal Sirojbek Safarov Seongdeok Bang 52 36 0 20 Jun 2022
EEML: Ensemble Embedded Meta-learning Geng Li Boyuan Ren Hongzhi Wang FedML 48 2 0 18 Jun 2022
Self-Adaptive Label Augmentation for Semi-supervised Few-shot Classification Xueliang Wang Jianyu Cai Shuiwang Ji Houqiang Li Feng Wu Jie Wang 46 0 0 16 Jun 2022
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification Adrian El Baz Ihsan Ullah Edesio Alcobaça André C. P. L. F. de Carvalho Hong Chen ... Ekrem Öztürk J. V. Rijn Haozhe Sun Xin Wang Wenwu Zhu 79 12 0 15 Jun 2022
Rethinking Generalization in Few-Shot Classification Markus Hiller Rongkai Ma Mehrtash Harandi Tom Drummond OCL VLM 112 57 0 15 Jun 2022
Category-Agnostic 6D Pose Estimation with Conditional Neural Processes Yumeng Li Ni Gao Hanna Ziesche Gerhard Neumann 94 5 0 14 Jun 2022
Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection Han Liu Feng Zhang Xiaotong Zhang Siyang Zhao Ju Sun Hong Yu Xianchao Zhang 101 24 0 14 Jun 2022
Masked Autoencoders are Robust Data Augmentors Haohang Xu Shuangrui Ding Xiaopeng Zhang H. Xiong 139 28 0 10 Jun 2022
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning Jinpei Guo Biwei Huang Dacheng Tao 66 20 0 09 Jun 2022
Learning to generate imaginary tasks for improving generalization in meta-learning Yichen Wu Long-Kai Huang Ying Wei OOD 35 0 0 09 Jun 2022
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples Duong H. Le Khoi Duc Minh Nguyen Khoi Nguyen Quoc-Huy Tran Rang Nguyen Binh-Son Hua OODD 95 40 0 08 Jun 2022
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning Momin Abbas Quan-Wu Xiao Lisha Chen Pin-Yu Chen Tianyi Chen 111 84 0 08 Jun 2022
Metric Based Few-Shot Graph Classification Donato Crisostomi Simone Antonelli Valentino Maiorca Luca Moschella R. Marin Emanuele Rodolà 101 5 0 08 Jun 2022
Few-Shot Learning by Dimensionality Reduction in Gradient Space M. Gauch M. Beck Thomas Adler D. Kotsur Stefan Fiel ... Markus Holzleitner Werner Zellinger D. Klotz Sepp Hochreiter Sebastian Lehner 92 9 0 07 Jun 2022
GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions Gene Chou Ilya Chugunov Felix Heide 3DPC 73 35 0 06 Jun 2022
Guided Deep Metric Learning Jorge Gonzalez-Zapata Iván Reyes-Amezcua Daniel Flores-Araiza M. Mendez-Ruiz Gilberto Ochoa-Ruiz Andres Mendez-Vazquez FedML 71 6 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 90 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 84 23 0 31 May 2022
HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks Marcin Przewiȩźlikowski P. Przybysz Jacek Tabor Maciej Ziȩba Przemysław Spurek 111 20 0 31 May 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 231 51 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 74 17 0 30 May 2022
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification Zaiyun Yang VLM DRL 71 1 0 30 May 2022
AutoTSG: Learning and Synthesis for Incident Troubleshooting Manish Shetty Chetan Bansal Sai Pramod Upadhyayula Arjun Radhakrishna Anurag Gupta 88 22 0 26 May 2022
Naive Few-Shot Learning: Uncovering the fluid intelligence of machines T. Barak Y. Loewenstein AIMat 50 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 99 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 90 10 0 23 May 2022
Diversity vs. Recognizability: Human-like generalization in one-shot generative models Victor Boutin Lakshya Singhal Xavier Thomas Thomas Serre 75 8 0 20 May 2022
Set-based Meta-Interpolation for Few-Task Meta-Learning Seanie Lee Bruno Andreis Kenji Kawaguchi Juho Lee Sung Ju Hwang 101 11 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 64 43 0 19 May 2022
TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision Alexander Bartler Florian Bender Felix Wiewel B. Yang TTA 83 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 85 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 128 387 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 78 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 69 8 0 11 May 2022
Privacy Enhancement for Cloud-Based Few-Shot Learning Archit Parnami Muhammad Usama Liyue Fan Minwoo Lee 53 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 49 7 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 79 6 0 08 May 2022
A Closer Look at Few-shot Image Generation Yunqing Zhao Henghui Ding Houjing Huang Ngai-Man Cheung 108 79 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 34 0 0 07 May 2022
Generating Representative Samples for Few-Shot Classification Jingyi Xu Hieu M. Le VLM 109 65 0 05 May 2022
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs Song Wang Yushun Dong Xiao Huang Chen Chen Jundong Li 62 23 0 05 May 2022
Zero-Episode Few-Shot Contrastive Predictive Coding: Solving intelligence tests without prior training T. Barak Y. Loewenstein 25 0 0 04 May 2022
Self-Taught Metric Learning without Labels Sungyeon Kim Dongwon Kim Minsu Cho Suha Kwak SSL 105 21 0 04 May 2022
Meta Learning for Natural Language Processing: A Survey Hung-yi Lee Shang-Wen Li Ngoc Thang Vu 95 45 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 64 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 Gilberto Ochoa-Ruiz Jacques Hubert Andres Mendez-Vazquez Christian Daul OOD 40 8 0 02 May 2022