ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1711.06025
  4. Cited By
Learning to Compare: Relation Network for Few-Shot Learning
v1v2 (latest)

Learning to Compare: Relation Network for Few-Shot Learning

16 November 2017
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
ArXiv (abs)PDFHTML

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

50 / 1,567 papers shown
Title
A Survey of Deep Visual Cross-Domain Few-Shot Learning
A Survey of Deep Visual Cross-Domain Few-Shot Learning
Wenjian Wang
Lijuan Duan
Yuxi Wang
Junsong Fan
Zhi Gong
Zhaoxiang Zhang
82
5
0
16 Mar 2023
Exploring Distributional Shifts in Large Language Models for Code
  Analysis
Exploring Distributional Shifts in Large Language Models for Code Analysis
Shushan Arakelyan
Rocktim Jyoti Das
Yi Mao
Xiang Ren
ALM
105
21
0
16 Mar 2023
Bi-directional Distribution Alignment for Transductive Zero-Shot
  Learning
Bi-directional Distribution Alignment for Transductive Zero-Shot Learning
Zhicai Wang
Y. Hao
Tingting Mu
Ouxiang Li
Shuo Wang
Xiangnan He
VLM
58
10
0
15 Mar 2023
SpatialFormer: Semantic and Target Aware Attentions for Few-Shot
  Learning
SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning
Jinxiang Lai
Siqian Yang
Wenlong Wu
Taojing Wu
Guannan Jiang
...
Jun Liu
Bin-Bin Gao
Wei Zhang
Yuan Xie
Chengjie Wang
40
10
0
15 Mar 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Huali Xu
Shuaifeng Zhi
Shuzhou Sun
Vishal M. Patel
Li Liu
130
14
0
15 Mar 2023
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D
  Object Detection
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection
Anthony Chen
Kevin Zhang
Renrui Zhang
Zihan Wang
Yuheng Lu
Yandong Guo
Shanghang Zhang
3DPC
139
68
0
14 Mar 2023
Meta-learning approaches for few-shot learning: A survey of recent
  advances
Meta-learning approaches for few-shot learning: A survey of recent advances
Hassan Gharoun
Fereshteh Momenifar
Fang Chen
Amir H. Gandomi
OODVLM
100
56
0
13 Mar 2023
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based
  Meta-Learning
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning
Min Zhang
Zifeng Zhuang
Zhitao Wang
Donglin Wang
Wen-Bin Li
74
5
0
12 Mar 2023
Gradient-Regulated Meta-Prompt Learning for Generalizable
  Vision-Language Models
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models
Juncheng Li
Minghe Gao
Longhui Wei
Siliang Tang
Wenqiao Zhang
Meng Li
Wei Ji
Qi Tian
Tat-Seng Chua
Yueting Zhuang
VLMVPVLM
98
20
0
12 Mar 2023
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning
Marco D’Alessandro
Alberto Alonso
Enrique Calabrés
M. Galar
CLL
70
13
0
08 Mar 2023
CLIP-guided Prototype Modulating for Few-shot Action Recognition
CLIP-guided Prototype Modulating for Few-shot Action Recognition
Xiang Wang
Shiwei Zhang
Jun Cen
Changxin Gao
Yingya Zhang
Deli Zhao
Nong Sang
VLM
80
61
0
06 Mar 2023
Model-Agnostic Meta-Learning for Natural Language Understanding Tasks in
  Finance
Model-Agnostic Meta-Learning for Natural Language Understanding Tasks in Finance
Bixing Yan
Shaoling Chen
Yuxuan He
Zhihan Li
AIFin
50
2
0
06 Mar 2023
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong
  Few-shot Learners
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners
Renrui Zhang
Xiangfei Hu
Bohao Li
Siyuan Huang
Hanqiu Deng
Hongsheng Li
Yu Qiao
Peng Gao
VLMMLLM
106
181
0
03 Mar 2023
Meta Learning to Bridge Vision and Language Models for Multimodal
  Few-Shot Learning
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning
Ivona Najdenkoska
Xiantong Zhen
Marcel Worring
VLM
136
19
0
28 Feb 2023
HalluAudio: Hallucinating Frequency as Concepts for Few-Shot Audio
  Classification
HalluAudio: Hallucinating Frequency as Concepts for Few-Shot Audio Classification
Zhongjie Yu
Shuyang Wang
Lin Chen
Zhongwei Cheng
VLM
60
3
0
27 Feb 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in
  Meta-Learning with PAC-Bayes
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes
Charles Riou
Pierre Alquier
Badr-Eddine Chérief-Abdellatif
117
10
0
23 Feb 2023
DGP-Net: Dense Graph Prototype Network for Few-Shot SAR Target
  Recognition
DGP-Net: Dense Graph Prototype Network for Few-Shot SAR Target Recognition
Xiangyu Zhou
Qian-ru Wei
Yuhui Zhang
44
0
0
19 Feb 2023
An Adaptive Plug-and-Play Network for Few-Shot Learning
An Adaptive Plug-and-Play Network for Few-Shot Learning
Hao Li
Li Li
Yun-Ya Huang
Ning Li
Yongtao Zhang
78
3
0
18 Feb 2023
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot
  Learning
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
Yu Fu
Yu Xie
Yanwei Fu
Yugang Jiang
76
38
0
18 Feb 2023
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named
  Entity Recognition
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition
Chengcheng Han
Renyu Zhu
Jun Kuang
Feng-Xiang Chen
Xiang Li
Ming Gao
Xuezhi Cao
Wei Wu
62
6
0
14 Feb 2023
A Systematic Evaluation and Benchmark for Embedding-Aware Generative
  Models: Features, Models, and Any-shot Scenarios
A Systematic Evaluation and Benchmark for Embedding-Aware Generative Models: Features, Models, and Any-shot Scenarios
Liangjun Feng
Jiancheng Zhao
Chunhui Zhao
VLM
71
0
0
08 Feb 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class
  Incremental Learning
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning
Yibo Yang
Haobo Yuan
Hefei Ling
Zhouchen Lin
Philip Torr
Dacheng Tao
CLL
111
107
0
06 Feb 2023
Linking data separation, visual separation, and classifier performance
  using pseudo-labeling by contrastive learning
Linking data separation, visual separation, and classifier performance using pseudo-labeling by contrastive learning
B. C. Benato
A. X. Falcão
A. Telea
46
4
0
06 Feb 2023
Meta-Learning Siamese Network for Few-Shot Text Classification
Meta-Learning Siamese Network for Few-Shot Text Classification
Chengcheng Han
Yuh-Shyang Wang
Yingnan Fu
Xiang Li
Minghui Qiu
Ming Gao
Aoying Zhou
VLM
65
5
0
05 Feb 2023
Efficient Gradient Approximation Method for Constrained Bilevel
  Optimization
Efficient Gradient Approximation Method for Constrained Bilevel Optimization
Siyuan Xu
Minghui Zhu
75
20
0
03 Feb 2023
Algorithm Design for Online Meta-Learning with Task Boundary Detection
Algorithm Design for Online Meta-Learning with Task Boundary Detection
Daouda Sow
Sen Lin
Yitao Liang
Junshan Zhang
OOD
95
1
0
02 Feb 2023
Learning Functional Transduction
Learning Functional Transduction
Mathieu Chalvidal
Thomas Serre
Rufin VanRullen
AI4CE
101
2
0
01 Feb 2023
Stable Attribute Group Editing for Reliable Few-shot Image Generation
Stable Attribute Group Editing for Reliable Few-shot Image Generation
Guanqi Ding
Xinzhe Han
Shuhui Wang
Xin Jin
Dandan Tu
Qingming Huang
71
9
0
01 Feb 2023
Contrastive Meta-Learning for Partially Observable Few-Shot Learning
Contrastive Meta-Learning for Partially Observable Few-Shot Learning
Adam Jelley
Amos Storkey
Antreas Antoniou
Sam Devlin
78
6
0
30 Jan 2023
Robust Meta Learning for Image based tasks
Robust Meta Learning for Image based tasks
Peng-Tao Jiang
Xin Ke
Zifeng Wang
Chunxi Li
OODUQCVVLM
219
0
0
30 Jan 2023
A Closer Look at Few-shot Classification Again
A Closer Look at Few-shot Classification Again
Xu Luo
Hao Wu
Ji Zhang
Lianli Gao
Jing Xu
Jingkuan Song
84
52
0
28 Jan 2023
Meta Temporal Point Processes
Meta Temporal Point Processes
Wonho Bae
Mohamed Osama Ahmed
Frederick Tung
Gabriel L. Oliveira
AI4TS
58
18
0
27 Jan 2023
Open Problems in Applied Deep Learning
Open Problems in Applied Deep Learning
M. Raissi
AI4CE
115
2
0
26 Jan 2023
Invariant Meta Learning for Out-of-Distribution Generalization
Invariant Meta Learning for Out-of-Distribution Generalization
Peng-Tao Jiang
Ke Xin
Zifeng Wang
Chunxi Li
OODOODD
50
2
0
26 Jan 2023
Explore the Power of Dropout on Few-shot Learning
Explore the Power of Dropout on Few-shot Learning
Shaobo Lin
Xingyu Zeng
Rui Zhao
95
0
0
26 Jan 2023
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced
  Context-Aware Network
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network
Huafeng Liu
Pai Peng
Tao Chen
Qiong Wang
Yazhou Yao
Xiansheng Hua
76
53
0
19 Jan 2023
Exploiting Style Transfer-based Task Augmentation for Cross-Domain
  Few-Shot Learning
Exploiting Style Transfer-based Task Augmentation for Cross-Domain Few-Shot Learning
Shuzhen Rao
Jun Huang
Zengming Tang
93
2
0
19 Jan 2023
Concept Discovery for Fast Adapatation
Concept Discovery for Fast Adapatation
Shengyu Feng
Hanghang Tong
OffRL
73
0
0
19 Jan 2023
HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot
  Action Recognition
HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot Action Recognition
Xiang Wang
Shiwei Zhang
Zhiwu Qing
Zhe Zuo
Changxin Gao
Rong Jin
Nong Sang
103
26
0
09 Jan 2023
Few-shot Node Classification with Extremely Weak Supervision
Few-shot Node Classification with Extremely Weak Supervision
Song Wang
Yushun Dong
Kaize Ding
Chen Chen
Jundong Li
81
20
0
06 Jan 2023
Exploring Efficient Few-shot Adaptation for Vision Transformers
Exploring Efficient Few-shot Adaptation for Vision Transformers
C. Xu
Siqian Yang
Yabiao Wang
Zhanxiong Wang
Yanwei Fu
Xiangyang Xue
97
17
0
06 Jan 2023
Tracking Brand-Associated Polarity-Bearing Topics in User Reviews
Tracking Brand-Associated Polarity-Bearing Topics in User Reviews
Runcong Zhao
Lin Gui
Hanqi Yan
Yulan He
52
3
0
03 Jan 2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance
  Segmentation
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
Yue Han
Jiangning Zhang
Zhucun Xue
Chao Xu
Xintian Shen
Yabiao Wang
Chengjie Wang
Yong Liu
Xiangtai Li
102
17
0
03 Jan 2023
Vocabulary-informed Zero-shot and Open-set Learning
Vocabulary-informed Zero-shot and Open-set Learning
Yanwei Fu
Xiaomei Wang
Hanze Dong
Yu-Gang Jiang
Meng Wang
Xiangyang Xue
Leonid Sigal
VLM
98
19
0
03 Jan 2023
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor
  Few-Shot Classification
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification
Shuang Wang
Rui Ma
Tieru Wu
Yang Cao
91
5
0
02 Jan 2023
HIER: Metric Learning Beyond Class Labels via Hierarchical
  Regularization
HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization
Sungyeon Kim
Boseung Jung
Suha Kwak
77
17
0
29 Dec 2022
Generalization Bounds for Few-Shot Transfer Learning with Pretrained
  Classifiers
Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers
Tomer Galanti
András Gyorgy
Marcus Hutter
VLMSSL
67
4
0
23 Dec 2022
Robust Meta-Representation Learning via Global Label Inference and
  Classification
Robust Meta-Representation Learning via Global Label Inference and Classification
Ruohan Wang
Isak Falk
Massimiliano Pontil
C. Ciliberto
101
3
0
22 Dec 2022
Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning
  Models
Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning Models
Niels Schlüsener
Michael Bücker
SLR
124
1
0
16 Dec 2022
Proposal Distribution Calibration for Few-Shot Object Detection
Proposal Distribution Calibration for Few-Shot Object Detection
Bohao Li
Chang-rui Liu
Mengnan Shi
Xiaozhong Chen
Xiang Ji
QiXiang Ye
ObjD
84
6
0
15 Dec 2022
Previous
123...789...303132
Next