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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"
50 / 3,265 papers shown
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232
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Rethinking Few-shot 3D Point Cloud Semantic Segmentation
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Guolei Sun
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262
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Yiman Hu
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PRSA: Prompt Stealing Attacks against Real-World Prompt Services
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Oubo Ma
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280
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FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation
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Ying Kiat Tan
Tsuhan Chen
181
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Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data
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Matthew Gadd
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242
6
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27 Feb 2024
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Yanpeng Sun
Jiahui Chen
Shan Zhang
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Qiang Chen
Qiang Chen
Gang Zhang
Errui Ding
Jingdong Wang
Zechao Li
482
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Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation
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Zihao Wu
Jie Yang
Danyi Li
Yuan Gao
Changxin Gao
Gui-Song Xia
Yuanqing Li
Li Liang
Jin-Gang Yu
288
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Selective Task offloading for Maximum Inference Accuracy and Energy efficient Real-Time IoT Sensing Systems
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Amar Khelloufi
Abdenacer Naouri
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Sahraoui Dhelim
345
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George Killick
Lipeng Zhuang
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R. McCreadie
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237
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HyperFast: Instant Classification for Tabular Data
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D. M. Montserrat
Xavier Giró-i-Nieto
A. Ioannidis
191
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Multi-organ Self-supervised Contrastive Learning for Breast Lesion Segmentation
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Helena Aidos
Nuno C. Garcia
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121
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21 Feb 2024
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies
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Chenghao Deng
Yanchao Sun
Yongyuan Liang
Furong Huang
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284
10
0
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Active Few-Shot Fine-Tuning
Jonas Hübotter
Bhavya Sukhija
Lenart Treven
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Andreas Krause
401
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Interactive singing melody extraction based on active adaptation
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Vipul Arora
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149
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Distilling Symbolic Priors for Concept Learning into Neural Networks
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R. Thomas McCoy
Thomas Griffiths
191
5
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More than the Sum of Its Parts: Ensembling Backbone Networks for Few-Shot Segmentation
IEEE International Joint Conference on Neural Network (IJCNN), 2024
Nicolás Catalano
Alessandro Maranelli
Agnese Chiatti
Matteo Matteucci
191
1
0
09 Feb 2024
Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data
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Lucas Heublein
Nisha Lakshmana Raichur
Tobias Feigl
Jonathan Hansen
A. Rügamer
Christopher Mutschler
339
11
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09 Feb 2024
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Lei Wang
Jun Liu
Liang Zheng
Tom Gedeon
Piotr Koniusz
270
18
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Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously
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Yifan Zhu
Xiao-Shan Gao
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211
8
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Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
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Hanting Chen
Chengcheng Wang
Kai Han
Chang Xu
Yunhe Wang
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174
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Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector
European Conference on Computer Vision (ECCV), 2024
Yu Fu
Yu Wang
Yixuan Pan
Lian Huai
Xingyu Qiu
Zeyu Shangguan
Tong Liu
Yanwei Fu
Luc Van Gool
Xingqun Jiang
307
45
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05 Feb 2024
AdaTreeFormer: Few Shot Domain Adaptation for Tree Counting from a Single High-Resolution Image
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H. A. Amirkolaee
Miaojing Shi
Lianghua He
Mark Mulligan
443
5
0
05 Feb 2024
BECLR: Batch Enhanced Contrastive Few-Shot Learning
Stylianos Poulakakis-Daktylidis
Hadi Jamali Rad
271
7
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Few-Shot Class-Incremental Learning with Prior Knowledge
Wenhao Jiang
Duo Li
Menghan Hu
Guangtao Zhai
Yunbo Wang
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180
2
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G. Karunaratne
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Luca Benini
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208
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Sample Weight Estimation Using Meta-Updates for Online Continual Learning
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Damian Borth
232
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Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes
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Yassir Bendou
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Vincent Gripon
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268
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PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning
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Lusi Li
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Hang Ran
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204
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Ryszard Kowlczyk
273
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LDCA: Local Descriptors with Contextual Augmentation for Few-Shot Learning
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Bingchen Yan
221
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Tyche: Stochastic In-Context Learning for Medical Image Segmentation
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Marianne Rakic
Hallee E. Wong
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John Guttag
Adrian V. Dalca
281
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Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning?
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Qifan Wang
Yiming Cui
Wenguan Wang
Lifu Huang
Siyuan Qi
Dongfang Liu
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368
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AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space
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Serena Yeung
Omid Mohareri
169
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A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models
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Vincent Gripon
Franccois Leduc-Primeau
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G. B. Hacene
Fabien Cardinaux
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329
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Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study
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167
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184
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M
2
\mathrm{M^2}
M
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DF)
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188
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Hazel Doughty
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Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning
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Ze Chen
Zhixing Chen
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