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1606.04080
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Matching Networks for One Shot Learning
13 June 2016
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
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Papers citing
"Matching Networks for One Shot Learning"
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117
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03 Oct 2024
Unsupervised Meta-Learning via Dynamic Head and Heterogeneous Task Construction for Few-Shot Classification
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196
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Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks
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237
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Intelligent Repetition Counting for Unseen Exercises: A Few-Shot Learning Approach with Sensor Signals
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175
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Revisiting Essential and Nonessential Settings of Evidential Deep Learning
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Junyu Gao
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359
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OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection
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291
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198
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290
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Learning to Obstruct Few-Shot Image Classification over Restricted Classes
European Conference on Computer Vision (ECCV), 2024
Amber Yijia Zheng
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340
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AgMTR: Agent Mining Transformer for Few-shot Segmentation in Remote Sensing
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Yingchao Feng
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Jianning Pei
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Xian Sun
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253
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192
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471
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Asian Conference on Computer Vision (ACCV), 2024
Heethanjan Kanagalingam
Thenukan Pathmanathan
Navaneethan Ketheeswaran
Mokeeshan Vathanakumar
Mohamed Afham
Ranga Rodrigo
258
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21 Sep 2024
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Konstantinos Makantasis
Georgios N. Yannakakis
227
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19 Sep 2024
Reducing Catastrophic Forgetting in Online Class Incremental Learning Using Self-Distillation
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Hiromu Ono
Kazuhiro Hotta
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167
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17 Sep 2024
LC-Protonets: Multi-Label Few-Shot Learning for World Music Audio Tagging
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Charilaos Papaioannou
Emmanouil Benetos
Alexandros Potamianos
400
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Prompt-and-Transfer: Dynamic Class-aware Enhancement for Few-shot Segmentation
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Hanbo Bi
Yingchao Feng
Wenhui Diao
Peijin Wang
Yongqiang Mao
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Xian Sun
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203
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16 Sep 2024
Rethinking Meta-Learning from a Learning Lens
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Chuxiong Sun
Hui Xiong
Jiangmeng Li
562
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13 Sep 2024
Efficient and Reliable Vector Similarity Search Using Asymmetric Encoding with NAND-Flash for Many-Class Few-Shot Learning
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Chi-Tse Huang
Hsiang-Yun Cheng
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142
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Joint Input and Output Coordination for Class-Incremental Learning
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Dacheng Tao
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199
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205
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Abstracted Gaussian Prototypes for One-Shot Concept Learning
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Kenneth J. Kurtz
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226
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CP-VoteNet: Contrastive Prototypical VoteNet for Few-Shot Point Cloud Object Detection
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Xuejing Li
Weijia Zhang
Chao Ma
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214
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321
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Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning
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27 Aug 2024
Brain-inspired Artificial Intelligence: A Comprehensive Review
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Feature Aligning Few shot Learning Method Using Local Descriptors Weighted Rules
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317
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FMI-TAL: Few-shot Multiple Instances Temporal Action Localization by Probability Distribution Learning and Interval Cluster Refinement
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177
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MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning
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Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-Shot Open-Set Recognition
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CLLMFS: A Contrastive Learning enhanced Large Language Model Framework for Few-Shot Named Entity Recognition
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214
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