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. 1606.04080
  4. Cited By
Matching Networks for One Shot Learning

Matching Networks for One Shot Learning

13 June 2016
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
    VLM
ArXivPDFHTML

Papers citing "Matching Networks for One Shot Learning"

50 / 1,001 papers shown
Title
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following
  Strategies
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
Kieran Wood
Samuel Kessler
Stephen J. Roberts
S. Zohren
AI4TS
25
2
0
16 Oct 2023
Few-shot Action Recognition with Captioning Foundation Models
Few-shot Action Recognition with Captioning Foundation Models
Xiang Wang
Shiwei Zhang
Hangjie Yuan
Yingya Zhang
Changxin Gao
Deli Zhao
Nong Sang
VLM
28
7
0
16 Oct 2023
Overcoming Recency Bias of Normalization Statistics in Continual
  Learning: Balance and Adaptation
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation
Yilin Lyu
Liyuan Wang
Xingxing Zhang
Zicheng Sun
Hang Su
Jun Zhu
Liping Jing
34
8
0
13 Oct 2023
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual
  and Transfer Learning
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning
Lapo Frati
Neil Traft
Jeff Clune
Nick Cheney
CLL
24
0
0
12 Oct 2023
Neural Relational Inference with Fast Modular Meta-learning
Neural Relational Inference with Fast Modular Meta-learning
Ferran Alet
Erica Weng
Tomás Lozano Pérez
L. Kaelbling
55
55
0
10 Oct 2023
Understanding Transfer Learning and Gradient-Based Meta-Learning
  Techniques
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques
Mike Huisman
Aske Plaat
Jan N. van Rijn
MLT
40
9
0
09 Oct 2023
Transferable Availability Poisoning Attacks
Transferable Availability Poisoning Attacks
Yiyong Liu
Michael Backes
Xiao Zhang
AAML
19
3
0
08 Oct 2023
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
Feihong He
Gang Li
Hui Xiong
VLM
ViT
54
1
0
05 Oct 2023
A General Offline Reinforcement Learning Framework for Interactive
  Recommendation
A General Offline Reinforcement Learning Framework for Interactive Recommendation
Teng Xiao
Donglin Wang
OffRL
32
73
0
01 Oct 2023
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
Huiwei Lin
Shanshan Feng
Baoquan Zhang
Xutao Li
Y. Ong
CLL
37
0
0
26 Sep 2023
Domain Adaptive Few-Shot Open-Set Learning
Domain Adaptive Few-Shot Open-Set Learning
Debabrata Pal
Deeptej More
Sai Bhargav
Dipesh Tamboli
Vaneet Aggarwal
Biplab Banerjee
29
2
0
22 Sep 2023
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words
Yating Xu
Conghui Hu
Na Zhao
Gim Hee Lee
3DPC
22
6
0
20 Sep 2023
Partition-A-Medical-Image: Extracting Multiple Representative
  Sub-regions for Few-shot Medical Image Segmentation
Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation
Yazhou Zhu
Shidong Wang
Tong Xin
Zheng-Wei Zhang
Haofeng Zhang
18
10
0
20 Sep 2023
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova
  Recognition
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova Recognition
Shubham Trehan
U. Ramachandran
Ruth Scimeca
Sathyanarayanan N. Aakur
19
0
0
18 Sep 2023
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene
  Classification
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification
Junjie Zhu
Yiying Li
Chunping Qiu
Ke Yang
Naiyang Guan
Xiaodong Yi
26
6
0
17 Sep 2023
UER: A Heuristic Bias Addressing Approach for Online Continual Learning
UER: A Heuristic Bias Addressing Approach for Online Continual Learning
Huiwei Lin
Shanshan Feng
Baoquan Zhang
Hongliang Qiao
Xutao Li
Yunming Ye
CLL
32
4
0
08 Sep 2023
ImageBind-LLM: Multi-modality Instruction Tuning
ImageBind-LLM: Multi-modality Instruction Tuning
Jiaming Han
Renrui Zhang
Wenqi Shao
Peng Gao
Peng-Tao Xu
...
Yafei Wen
Xiaoxin Chen
Xiangyu Yue
Hongsheng Li
Yu Qiao
MLLM
49
116
0
07 Sep 2023
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot
  Classification
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification
Marzi Heidari
Abdullah Alchihabi
Qing En
Yuhong Guo
VLM
34
0
0
04 Sep 2023
A Multi-Task Semantic Decomposition Framework with Task-specific
  Pre-training for Few-Shot NER
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER
Guanting Dong
Zechen Wang
Jinxu Zhao
Gang Zhao
Daichi Guo
...
Keqing He
Xuefeng Li
Liwen Wang
Xinyue Cui
Weiran Xu
37
19
0
28 Aug 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and
  Future Directions
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
Zemin Liu
Yuan N. Li
Nan-Fang Chen
Qian Wang
Bryan Hooi
Bin He
FaML
14
13
0
26 Aug 2023
Is Meta-Learning the Right Approach for the Cold-Start Problem in
  Recommender Systems?
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems?
Davide Buffelli
Ashish Gupta
Agnieszka Strzalka
Vassilis Plachouras
OffRL
LRM
26
1
0
16 Aug 2023
Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided
  Enhancement
Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement
Zhen-Hu Ning
Zhuotao Tian
Guangming Lu
Wenjie Pei
3DPC
26
14
0
06 Aug 2023
M$^3$Net: Multi-view Encoding, Matching, and Fusion for Few-shot
  Fine-grained Action Recognition
M3^33Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition
Hao Tang
Jun Liu
Shuanglin Yan
Rui Yan
Zechao Li
Jinhui Tang
19
37
0
06 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental
  Learning and Its Variants
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants
Yibo Yang
Haobo Yuan
Hefei Ling
Jianlong Wu
Lefei Zhang
Zhouchen Lin
Philip H. S. Torr
Dacheng Tao
Guohao Li
CLL
31
8
0
03 Aug 2023
Image Synthesis under Limited Data: A Survey and Taxonomy
Image Synthesis under Limited Data: A Survey and Taxonomy
Mengping Yang
Zhe Wang
28
8
0
31 Jul 2023
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
Baoquan Zhang
Chuyao Luo
Demin Yu
Huiwei Lin
Xutao Li
Yunming Ye
Bowen Zhang
DiffM
40
42
0
31 Jul 2023
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced
  Few-Shot Learning in Remote Sensing
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing
Jing Wu
N. Hovakimyan
Jennifer Hobbs
32
14
0
27 Jul 2023
Towards a population-informed approach to the definition of data-driven
  models for structural dynamics
Towards a population-informed approach to the definition of data-driven models for structural dynamics
G. Tsialiamanis
N. Dervilis
D. Wagg
K. Worden
AI4CE
34
5
0
19 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review
Advances and Challenges in Meta-Learning: A Technical Review
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Joaquin Vanschoren
Thorsteinn Rögnvaldsson
K. Santosh
OffRL
24
70
0
10 Jul 2023
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained
  Language Models?
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models?
Zihao Jiang
Yunkai Dang
Dong Pang
Huishuai Zhang
Weiran Huang
VLM
33
2
0
09 Jul 2023
LPN: Language-guided Prototypical Network for few-shot classification
LPN: Language-guided Prototypical Network for few-shot classification
Kaihui Cheng
Chule Yang
Xiao Liu
Naiyang Guan
Zhiyuan Wang
47
0
0
04 Jul 2023
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning
Ye Wang
Yaxiong Wang
Guoshuai Zhao
Xueming Qian
CLL
29
1
0
19 Jun 2023
One-Shot Learning of Visual Path Navigation for Autonomous Vehicles
One-Shot Learning of Visual Path Navigation for Autonomous Vehicles
Zhongying CuiZhu
François Charette
A. Ghafourian
Debo Shi
Matthew Cui
Anjali Krishnamachar
I. S. Bozchalooi
29
1
0
15 Jun 2023
DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via
  Restricted Adversarial Distillation
DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via Restricted Adversarial Distillation
Zhicong Yan
Shenghong Li
Ruijie Zhao
Yuan Tian
Yuanyuan Zhao
AAML
36
11
0
13 Jun 2023
Single-Image-Based Deep Learning for Segmentation of Early Esophageal
  Cancer Lesions
Single-Image-Based Deep Learning for Segmentation of Early Esophageal Cancer Lesions
Haipeng Li
Di Liu
Yunzhi Zeng
Shuaicheng Liu
Tao Gan
N. Rao
Jin-lin Yang
Bing Zeng
24
6
0
09 Jun 2023
Word sense extension
Word sense extension
Lei Yu
Yang Xu
19
4
0
09 Jun 2023
GPT Self-Supervision for a Better Data Annotator
GPT Self-Supervision for a Better Data Annotator
Xiaohuan Pei
Yanxi Li
Chang Xu
30
7
0
07 Jun 2023
SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot
  Learning
SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot Learning
Tao Zhang
Wu Huang
11
2
0
30 May 2023
Prediction Error-based Classification for Class-Incremental Learning
Prediction Error-based Classification for Class-Incremental Learning
Michal Zajkac
Tinne Tuytelaars
Gido M. van de Ven
CLL
23
8
0
30 May 2023
Adapting Language-Audio Models as Few-Shot Audio Learners
Adapting Language-Audio Models as Few-Shot Audio Learners
Jinhua Liang
Xubo Liu
Haohe Liu
Huy P Phan
Emmanouil Benetos
Mark D. Plumbley
Wenwu Wang
VLM
32
19
0
28 May 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
Zixuan Hu
Li Shen
Zhenyi Wang
Baoyuan Wu
Chun Yuan
Dacheng Tao
47
7
0
28 May 2023
Decom--CAM: Tell Me What You See, In Details! Feature-Level Interpretation via Decomposition Class Activation Map
Yuguang Yang
Runtang Guo
Shen-Te Wu
Yimi Wang
Juan Zhang
Xuan Gong
Baochang Zhang
19
0
0
27 May 2023
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning
Zhenrui Yue
Huimin Zeng
Mengfei Lan
Heng Ji
D. Wang
VLM
26
14
0
27 May 2023
Instance-based Max-margin for Practical Few-shot Recognition
Instance-based Max-margin for Practical Few-shot Recognition
Minghao Fu
Kevin Zhu
Jianxin Wu
35
2
0
27 May 2023
MIANet: Aggregating Unbiased Instance and General Information for
  Few-Shot Semantic Segmentation
MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation
Yong Yang
Qiong Chen
Yuan Feng
Tianlin Huang
30
30
0
23 May 2023
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly
  Generating Predictions and Natural Language Explanations
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations
Jesus Solano
Oana-Maria Camburu
Pasquale Minervini
20
1
0
22 May 2023
Learning to detect an animal sound from five examples
Learning to detect an animal sound from five examples
I. Nolasco
Shubhr Singh
V. Morfi
Vincent Lostanlen
A. Strandburg-Peshkin
...
Michael G. Emmerson
E. Versace
E. Grout
Haohe Liu
D. Stowell
43
37
0
22 May 2023
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning
  in Encrypted Traffic Classification
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification
Idio Guarino
Chao Wang
A. Finamore
A. Pescapé
Dario Rossi
21
11
0
21 May 2023
PromptNER: A Prompting Method for Few-shot Named Entity Recognition via
  k Nearest Neighbor Search
PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor Search
Mozhi Zhang
Hang Yan
Yaqian Zhou
Xipeng Qiu
21
10
0
20 May 2023
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot
  Learning with Fewer Tasks
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks
Wenfang Sun
Yingjun Du
Xiantong Zhen
Fan Wang
Lingling Wang
Cees G. M. Snoek
19
3
0
17 May 2023
Previous
123456...192021
Next