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Matching Networks for One Shot Learning
v1v2 (latest)

Matching Networks for One Shot Learning

13 June 2016
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
    VLM
ArXiv (abs)PDFHTML

Papers citing "Matching Networks for One Shot Learning"

50 / 3,260 papers shown
Title
Unbiased Max-Min Embedding Classification for Transductive Few-Shot Learning: Clustering and Classification Are All You Need
Unbiased Max-Min Embedding Classification for Transductive Few-Shot Learning: Clustering and Classification Are All You Need
Yang Liu
Feixiang Liu
Jiale Du
Xinbo Gao
Jungong Han
208
0
0
28 Mar 2025
Adaptive Clipping for Privacy-Preserving Few-Shot Learning: Enhancing Generalization with Limited Data
Adaptive Clipping for Privacy-Preserving Few-Shot Learning: Enhancing Generalization with Limited Data
Kanishka Ranaweera
Dinh C. Nguyen
P. Pathirana
David B. Smith
Ming Ding
Thierry Rakotoarivelo
A. Seneviratne
187
1
0
27 Mar 2025
ProtoBERT-LoRA: Parameter-Efficient Prototypical Finetuning for Immunotherapy Study Identification
ProtoBERT-LoRA: Parameter-Efficient Prototypical Finetuning for Immunotherapy Study Identification
Shijia Zhang
Xiyu Ding
Kai Ding
Jacob Zhang
Kevin Galinsky
Mengrui Wang
Ryan P. Mayers
Zheyu Wang
Hadi Kharrazi
193
0
0
26 Mar 2025
Lie Detector: Unified Backdoor Detection via Cross-Examination Framework
Lie Detector: Unified Backdoor Detection via Cross-Examination Framework
Xiaobei Wang
Yaning Tan
Dongping Liao
Han Fang
Aishan Liu
Simeng Qin
Yu-liang Lu
E. Chang
X. Gao
AAML
305
3
0
21 Mar 2025
Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance
Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance
Hui Liu
Wenya Wang
Kecheng Chen
Jie Liu
Yibing Liu
Tiexin Qin
Peisong He
Xinghao Jiang
Haoliang Li
BDLVLM
901
0
0
20 Mar 2025
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution DetectionComputer Vision and Pattern Recognition (CVPR), 2025
Yuhang Liu
Wenjie Zhao
Yunhui Guo
OODD
211
2
0
19 Mar 2025
DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers
DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D TeachersComputer Vision and Pattern Recognition (CVPR), 2025
Mert Bulent Sariyildiz
Philippe Weinzaepfel
Thomas Lucas
Pau de Jorge
Diane Larlus
Yannis Kalantidis
288
2
0
18 Mar 2025
Utilization of Neighbor Information for Image Classification with Different Levels of Supervision
Utilization of Neighbor Information for Image Classification with Different Levels of Supervision
Gihan Jayatilaka
Abhinav Shrivastava
M. Gwilliam
281
0
0
18 Mar 2025
Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis
Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud AnalysisComputer Vision and Pattern Recognition (CVPR), 2025
Hongyu Sun
Qiuhong Ke
Ming Cheng
Yanjie Wang
Deying Li
Chenhui Gou
Jianfei Cai
3DPC
336
1
0
15 Mar 2025
UBMF: Uncertainty-Aware Bayesian Meta-Learning Framework for Fault Diagnosis with Imbalanced Industrial Data
UBMF: Uncertainty-Aware Bayesian Meta-Learning Framework for Fault Diagnosis with Imbalanced Industrial DataKnowledge-Based Systems (KBS), 2025
Zhixuan Lian
Shangyu Li
Qixuan Huang
Zijian Huang
Haifei Liu
Jianan Qiu
Puyu Yang
Laifa Tao
AI4CE
228
1
0
14 Mar 2025
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks
Wei Cui
Tongzi Wu
Jesse C. Cresswell
Yi Sui
Keyvan Golestan
229
0
0
12 Mar 2025
Brain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification
Kexin Di
Xiuxing Li
Yuyang Han
Ziyu Li
Qing Li
Xia Wu
VLM
198
0
0
10 Mar 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
Siyuan Mu
Sen Lin
MoE
993
36
0
10 Mar 2025
GenAI for Simulation Model in Model-Based Systems Engineering
Lin Zhang
Yu Zhang
Dusit Niyato
Lei Ren
Pengfei Gu
Zhen Chen
Y. Laili
Wentong Cai
Agostino Bruzzone
AI4CE
153
1
0
09 Mar 2025
Spectral State Space Model for Rotation-Invariant Visual Representation Learning
Spectral State Space Model for Rotation-Invariant Visual Representation LearningComputer Vision and Pattern Recognition (CVPR), 2025
Sahar Dastani
Ali Bahri
Moslem Yazdanpanah
Mehrdad Noori
David Osowiechi
...
Farzad Beizaee
Milad Cheraghalikhani
A. Mondal
H. Lombaert
Christian Desrosiers
422
3
0
09 Mar 2025
System 0/1/2/3: Quad-process theory for multi-timescale embodied collective cognitive systems
System 0/1/2/3: Quad-process theory for multi-timescale embodied collective cognitive systems
Tadahiro Taniguchi
Yasushi Hirai
Masahiro Suzuki
Shingo Murata
Takato Horii
Kazutoshi Tanaka
AI4CE
299
3
0
08 Mar 2025
RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs
RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs
Zhongzhan Huang
Guoming Ling
Vincent S. Liang
Yupei Lin
Yandong Chen
Shanshan Zhong
Hefeng Wu
LRM
710
18
0
08 Mar 2025
DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot SegmentationComputer Vision and Pattern Recognition (CVPR), 2025
Amin Karimi
Charalambos Poullis
VLM
231
4
0
06 Mar 2025
Meta Learning not to Learn: Robustly Informing Meta-Learning under Nuisance-Varying Families
Louis McConnell
OODCML
217
0
0
06 Mar 2025
HILGEN: Hierarchically-Informed Data Generation for Biomedical NER Using Knowledgebases and Large Language Models
Yao Ge
Yuting Guo
Sudeshna Das
Swati Rajwal
Selen Bozkurt
A. Sarker
MedImLM&MA
234
0
0
06 Mar 2025
Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data
Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data
Yongbin Li
Xiangkun Wang
Xin Yang
Marcello Bonsangue
Jing Zhang
Tianrui Li
CLLVLM
340
1
0
28 Feb 2025
PVBF: A Framework for Mitigating Parameter Variation Imbalance in Online Continual Learning
PVBF: A Framework for Mitigating Parameter Variation Imbalance in Online Continual LearningNeural Networks (NN), 2025
Zelin Tao
Hao Deng
Mingqing Liu
Lijun Zhang
Shengjie Zhao
CLL
313
0
0
25 Feb 2025
Contrastive Visual Data Augmentation
Contrastive Visual Data Augmentation
Yu Zhou
B. Li
Mohan Tang
Xiaomeng Jin
Te-Lin Wu
Kuan-Hao Huang
Mengyue Yang
Kai-Wei Chang
Nanyun Peng
385
2
0
24 Feb 2025
FUNCTO: Function-Centric One-Shot Imitation Learning for Tool Manipulation
FUNCTO: Function-Centric One-Shot Imitation Learning for Tool Manipulation
Chao Tang
Anxing Xiao
Yuhong Deng
Tianrun Hu
Wenlong Dong
Hanbo Zhang
David Hsu
Kuanqi Cai
396
7
0
24 Feb 2025
Multi-Target Federated Backdoor Attack Based on Feature Aggregation
Multi-Target Federated Backdoor Attack Based on Feature AggregationPattern Recognition (Pattern Recogn.), 2025
Lingguag Hao
K. Hao
Bing Wei
Xue-song Tang
FedMLAAML
340
0
0
23 Feb 2025
Coreset Selection via LLM-based Concept Bottlenecks
Coreset Selection via LLM-based Concept Bottlenecks
Akshay Mehra
Trisha Mittal
Subhadra Gopalakrishnan
Joshua Kimball
268
0
0
23 Feb 2025
Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks
Dual-level Mixup for Graph Few-shot Learning with Fewer TasksThe Web Conference (WWW), 2025
Yuqi Liu
Mengyu Li
Fausto Giunchiglia
Lan Huang
Ximing Li
Xiaoyue Feng
Renchu Guan
168
3
0
21 Feb 2025
Hypernym Bias: Unraveling Deep Classifier Training Dynamics through the Lens of Class Hierarchy
Hypernym Bias: Unraveling Deep Classifier Training Dynamics through the Lens of Class HierarchyInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Roman Malashin
Valeria Yachnaya
Alexander Mullin
354
1
0
17 Feb 2025
CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese Network
CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese NetworkIEEE Internet of Things Journal (IEEE IoT J.), 2024
Zijian Zhao
Tingwei Chen
Zhijie Cai
Hang Li
Hang Li
Qimei Chen
Guangxu Zhu
329
16
0
17 Feb 2025
Amortized In-Context Bayesian Posterior Estimation
Sarthak Mittal
Niels Leif Bracher
Guillaume Lajoie
P. Jaini
Marcus A. Brubaker
253
9
0
10 Feb 2025
Sequence Transferability and Task Order Selection in Continual Learning
T. Nguyen
Cuong N. Nguyen
Quang Pham
B. T. Nguyen
Savitha Ramasamy
Xiaoli Li
Cuong V Nguyen
233
1
0
10 Feb 2025
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
Xiao Li
Zekai Zhang
Xiang Li
Siyi Chen
Zhihui Zhu
Peng Wang
Qing Qu
DiffM
492
5
0
09 Feb 2025
Enhancing Environmental Robustness in Few-shot Learning via Conditional Representation Learning
Enhancing Environmental Robustness in Few-shot Learning via Conditional Representation LearningIEEE Transactions on Image Processing (IEEE TIP), 2025
Qianyu Guo
Jingrong Wu
Tianxing Wu
Hongru Wang
Weifeng Ge
Wenqiang Zhang
233
1
0
03 Feb 2025
qNBO: quasi-Newton Meets Bilevel Optimization
qNBO: quasi-Newton Meets Bilevel OptimizationInternational Conference on Learning Representations (ICLR), 2025
Sheng Fang
Yong Liu
Wei-Ting Yao
Chengming Yu
Jin Zhang
377
1
0
03 Feb 2025
A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches
A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches
Luca Ciampi
Ali Azmoudeh
Elif Ecem Akbaba
Erdi Sarıtaş
Ziya Ata Yazıcı
H. K. Ekenel
Giuseppe Amato
Fabrizio Falchi
496
2
0
31 Jan 2025
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
Yiyi Zhang
Ying Zheng
Xiaogang Xu
Jun Wang
SSL
346
4
0
28 Jan 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot AutonomyThe international journal of robotics research (IJRR), 2024
Chen Wang
Kaiyi Ji
Shaoshu Su
Zhongqiang Ren
Taimeng Fu
...
Yi Du
Qihang Li
Yue Yang
Xiao Lin
Zhipeng Zhao
SSL
510
21
0
28 Jan 2025
Geometric Mean Improves Loss For Few-Shot Learning
Geometric Mean Improves Loss For Few-Shot LearningInternational Conference on Information Photonics (ICIP), 2025
Tong Wu
Takumi Kobayashi
265
0
0
24 Jan 2025
Semantic-Anchored, Class Variance-Optimized Clustering for Robust Semi-Supervised Few-Shot Learning
Semantic-Anchored, Class Variance-Optimized Clustering for Robust Semi-Supervised Few-Shot Learning
Rhythm Baghel
Souvik Maji
Pratik Mazumder
295
0
0
24 Jan 2025
Rethinking the Sample Relations for Few-Shot Classification
Rethinking the Sample Relations for Few-Shot ClassificationImage and Vision Computing (IVC), 2025
Guowei Yin
Sheng Huang
Luwen Huangfu
Yi Zhang
Xiaohong Zhang
VLM
206
1
0
23 Jan 2025
One-Class Domain Adaptation via Meta-Learning
One-Class Domain Adaptation via Meta-Learning
Stephanie Holly
T. Bierweiler
Stefan von Dosky
Ahmed Frikha
C. Heitzinger
Jana Eder
243
0
0
22 Jan 2025
NL2KQL: From Natural Language to Kusto Query
NL2KQL: From Natural Language to Kusto Query
Amir H. Abdi
Xinye Tang
Jeremias Eichelbaum
Mahan Das
Alex Klein
...
William Blum
Daniel L Mace
Tanvi Raja
Namrata Padmanabhan
Ye Xing
437
5
0
20 Jan 2025
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Parinita Nema
V. Kurmi
CLL
298
2
0
17 Jan 2025
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention MechanismsNeural Networks (NN), 2024
Fatemeh Askari
Amirreza Fateh
Mohammad Reza Mohammadi
438
14
0
17 Jan 2025
Local Foreground Selection aware Attentive Feature Reconstruction for few-shot fine-grained plant species classification
Local Foreground Selection aware Attentive Feature Reconstruction for few-shot fine-grained plant species classification
Aisha Zulfiqar
Ebroul Izquiedro
150
2
0
12 Jan 2025
Meta-Learning for Physically-Constrained Neural System Identification
Meta-Learning for Physically-Constrained Neural System Identification
Ankush Chakrabarty
Gordon Wichern
Vedang M. Deshpande
Abraham P. Vinod
Karl Berntorp
C. Laughman
142
1
0
10 Jan 2025
Real-world actor-based image steganalysis via classifier inconsistency detection
Real-world actor-based image steganalysis via classifier inconsistency detectionARES (ARES), 2023
Daniel Lerch-Hostalot
David Megías
190
6
0
08 Jan 2025
RW-Net: Enhancing Few-Shot Point Cloud Classification with a Wavelet Transform Projection-based Network
Haosheng Zhang
Hao Huang
285
0
0
06 Jan 2025
Noise-Tolerant Hybrid Prototypical Learning with Noisy Web Data
Chao Liang
Linchao Zhu
Zongxin Yang
Wei Chen
Yi Yang
NoLa
251
1
0
05 Jan 2025
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot AdaptationComputer Vision and Pattern Recognition (CVPR), 2024
Arnav M. Das
Gantavya Bhatt
Lilly Kumari
Sahil Verma
J. Bilmes
349
0
0
23 Dec 2024
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