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
Cross-domain Few-shot Segmentation with Transductive Fine-tuning Yuhang Lu Xinyi Wu Zhenyao Wu Song Wang 22 6 0 27 Nov 2022
On the Transferability of Visual Features in Generalized Zero-Shot Learning Paola Cascante-Bonilla Leonid Karlinsky James Smith Yanjun Qi Vicente Ordonez 33 2 0 22 Nov 2022
Adaptive Prototypical Networks Manas Gogoi Sambhavi Tiwari Shekhar Verma 23 2 0 22 Nov 2022
The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot Image Generation Ling Li Yi Zhang Shuhui Wang 24 16 0 22 Nov 2022
Multimorbidity Content-Based Medical Image Retrieval Using Proxies Yu Xing Benjamin J. Meyer Mehrtash Harandi Tom Drummond Z. Ge 27 0 0 22 Nov 2022
Self-Supervised 3D Traversability Estimation with Proxy Bank Guidance Jihwan Bae Junwon Seo Taekyung Kim Hae-Gon Jeon K. Kwak Inwook Shim 18 8 0 21 Nov 2022
Audio Anti-spoofing Using a Simple Attention Module and Joint Optimization Based on Additive Angular Margin Loss and Meta-learning John H. L. Hansen Zhenyu Wang 32 15 0 17 Nov 2022
ProtSi: Prototypical Siamese Network with Data Augmentation for Few-Shot Subjective Answer Evaluation Yining Lu Jing Qiu Gaurav Gupta AAML 21 1 0 17 Nov 2022
Interclass Prototype Relation for Few-Shot Segmentation A. Okazawa SSeg VLM 14 37 0 16 Nov 2022
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering Juan Zha Zheng Li Ying Wei Yu Zhang 31 5 0 16 Nov 2022
Interpretable Few-shot Learning with Online Attribute Selection M. Zarei Majid Komeili FAtt 35 1 0 16 Nov 2022
Enhancing Few-shot Image Classification with Cosine Transformer Quang-Huy Nguyen Cuong Q. Nguyen Dung D. Le Hieu H. Pham ViT 27 12 0 13 Nov 2022
Few-Shot Learning for Biometric Verification S. Ahmed Umaid M. Zaffar M. Aslam M. I. Malik 26 0 0 12 Nov 2022
Few-shot Classification with Hypersphere Modeling of Prototypes Ning Ding Yulin Chen Ganqu Cui Xiaobin Wang Haitao Zheng Zhiyuan Liu Pengjun Xie 28 8 0 10 Nov 2022
Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition Youcheng Huang Wenqiang Lei Jie Fu Jiancheng Lv 19 3 0 07 Nov 2022
Prototypical quadruplet for few-shot class incremental learning Sanchar Palit Biplab Banerjee S. Chaudhuri CLL 9 1 0 05 Nov 2022
Robust Few-shot Learning Without Using any Adversarial Samples Gaurav Kumar Nayak Ruchit Rawal Inder Khatri Anirban Chakraborty AAML 27 2 0 03 Nov 2022
A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation Kai-Qi Huang Mingfei Cheng Yang Wang Bochen Wang Ye Xi Feigege Wang Peng Chen 33 2 0 02 Nov 2022
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective Jinxiang Lai Siqian Yang Guannan Jiang Xi-Zhao Wang Yuxi Li ... Xiaozhong Liu Bin-Bin Gao Wei Zhang Yuan Xie Chengjie Wang 49 6 0 02 Nov 2022
tSF: Transformer-based Semantic Filter for Few-Shot Learning Jinxiang Lai Siqian Yang Wenlong Liu Yi Zeng Zhongyi Huang Wenlong Wu Jun Liu Bin-Bin Gao Chengjie Wang VLM 23 19 0 02 Nov 2022
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid Jing Xu Xu Luo Xinglin Pan Wenjie Pei Yanan Li Zenglin Xu 36 21 0 30 Oct 2022
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition Lei Wang Piotr Koniusz 42 27 0 30 Oct 2022
RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction Yanyan Shen Lifan Zhao Weiyu Cheng Zibin Zhang Wenwen Zhou Kangyi Lin 34 5 0 28 Oct 2022
Adapting Neural Models with Sequential Monte Carlo Dropout Pamela Carreno-Medrano Dana Kulić Michael G. Burke 24 4 0 27 Oct 2022
Fusion-based Few-Shot Morphing Attack Detection and Fingerprinting Naifeng Zhang Shan Jia Siwei Lyu Xin Li AAML 38 1 0 27 Oct 2022
Text2Model: Text-based Model Induction for Zero-shot Image Classification Ohad Amosy Tomer Volk Eilam Shapira Eyal Ben-David Roi Reichart Gal Chechik VLM 32 0 0 27 Oct 2022
Better Few-Shot Relation Extraction with Label Prompt Dropout Peiyuan Zhang Wei Lu VLM 21 24 0 25 Oct 2022
Federated Learning and Meta Learning: Approaches, Applications, and Directions Xiaonan Liu Yansha Deng Arumugam Nallanathan M. Bennis 58 32 0 24 Oct 2022
MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences Wei Han Hui Chen MingSung Kan Soujanya Poria 35 10 0 23 Oct 2022
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders Ömer Sümer Fabio Hellmann Alexander Hustinx Tzung-Chien Hsieh Elisabeth André P. Krawitz CVBM 17 7 0 23 Oct 2022
A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning Yanjun Qi Han Sun Ningzhong Liu Huiyu Zhou 29 8 0 22 Oct 2022
Combining Contrastive and Non-Contrastive Losses for Fine-Tuning Pretrained Models in Speech Analysis Florian Lux Ching-Yi Chen Ngoc Thang Vu 23 1 0 21 Oct 2022
Graph Few-shot Learning with Task-specific Structures Song Wang Chen Chen Jundong Li 45 22 0 21 Oct 2022
DeepRING: Learning Roto-translation Invariant Representation for LiDAR based Place Recognition Shan Lu Xuecheng Xu Li Tang R. Xiong Yue Wang 3DPC 25 6 0 20 Oct 2022
Learning Transferable Adversarial Robust Representations via Multi-view Consistency Minseon Kim Hyeonjeong Ha Dong Bok Lee Sung Ju Hwang 30 0 0 19 Oct 2022
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation Yong Wu Shekhor Chanda M. Hosseinzadeh Zhi Liu Yang Wang VLM 29 7 0 18 Oct 2022
Prediction Calibration for Generalized Few-shot Semantic Segmentation Zhihe Lu Sen He Da Li Yi-Zhe Song Tao Xiang ViT 35 22 0 15 Oct 2022
A Unified Framework with Meta-dropout for Few-shot Learning Shaobo Lin Xingyu Zeng Rui Zhao 16 1 0 12 Oct 2022
Semantic Cross Attention for Few-shot Learning Bin Xiao Chien Liu W. Hsaio 17 1 0 12 Oct 2022
Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors Karim Guirguis Mohamed Abdelsamad George Eskandar Ahmed Hendawy Matthias Kayser B. Yang Jürgen Beyerer ObjD 29 2 0 11 Oct 2022
Improving Sample Efficiency of Deep Learning Models in Electricity Market G. Ruan Jianxiao Wang H. Zhong Q. Xia C. Kang 11 5 0 11 Oct 2022
Knowledge-Driven New Drug Recommendation Zhenbang Wu Huaxiu Yao Zhe Su David M. Liebovitz Lucas Glass James Zou Chelsea Finn Jimeng Sun 18 4 0 11 Oct 2022
Stock Trading Volume Prediction with Dual-Process Meta-Learning Ruibo Chen Wei Li Zhiyuan Zhang Ruihan Bao Keiko Harimoto Xu Sun AIFin AI4TS 21 3 0 11 Oct 2022
TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning Linhai Zhuo Yu Fu Jingjing Chen Yixin Cao Yu-Gang Jiang 62 15 0 11 Oct 2022
ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning Yu Fu Yu Xie Yanwei Fu Jingjing Chen Yu-Gang Jiang 32 15 0 11 Oct 2022
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning Changkun Ye Nick Barnes L. Petersson Russell Tsuchida BDL SyDa VLM 37 3 0 11 Oct 2022
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation Yixiong Zou Shanghang Zhang Yuhua Li Rui Li CLL 18 60 0 10 Oct 2022
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection Fei Zhao Yuchen Shen Zhanghua Wu Xinyu Dai 38 11 0 09 Oct 2022
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport D. Guo Longlong Tian He Zhao Mingyuan Zhou H. Zha OODD 25 18 0 09 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps Kuilin Chen Chi-Guhn Lee SSL 40 3 0 07 Oct 2022