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NP-Match: When Neural Processes meet Semi-Supervised Learning

NP-Match: When Neural Processes meet Semi-Supervised Learning

3 July 2022
Jianfeng Wang
Thomas Lukasiewicz
Daniela Massiceti
Xiaolin Hu
Vladimir Pavlovic
A. Neophytou
    BDL
ArXivPDFHTML

Papers citing "NP-Match: When Neural Processes meet Semi-Supervised Learning"

12 / 12 papers shown
Title
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes
Jie Liu
Pan Zhou
Zehao Xiao
Jiayi Shen
Wenzhe Yin
J. Sonke
E. Gavves
34
0
0
03 May 2025
ProSub: Probabilistic Open-Set Semi-Supervised Learning with
  Subspace-Based Out-of-Distribution Detection
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
OODD
42
1
0
16 Jul 2024
SSVOD: Semi-Supervised Video Object Detection with Sparse Annotations
SSVOD: Semi-Supervised Video Object Detection with Sparse Annotations
Tanvir Mahmud
Chun-Hao Liu
Burhaneddin Yaman
Diana Marculescu
15
4
0
04 Sep 2023
Semi-supervised learning made simple with self-supervised clustering
Semi-supervised learning made simple with self-supervised clustering
Enrico Fini
Pietro Astolfi
Alahari Karteek
Xavier Alameda-Pineda
Julien Mairal
Moin Nabi
Elisa Ricci
SSL
39
25
0
13 Jun 2023
The Neural Process Family: Survey, Applications and Perspectives
The Neural Process Family: Survey, Applications and Perspectives
Saurav Jha
Dong Gong
Xuesong Wang
Richard Turner
L. Yao
BDL
76
24
0
01 Sep 2022
Probabilistic Contrastive Learning for Domain Adaptation
Probabilistic Contrastive Learning for Domain Adaptation
Junjie Li
Yixin Zhang
Zilei Wang
Saihui Hou
Keyu Tu
Man Zhang
36
14
0
11 Nov 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
255
862
0
15 Oct 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
241
509
0
15 Jan 2021
Improving model calibration with accuracy versus uncertainty
  optimization
Improving model calibration with accuracy versus uncertainty optimization
R. Krishnan
Omesh Tickoo
UQCV
188
157
0
14 Dec 2020
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
262
656
0
23 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
Statistical exponential families: A digest with flash cards
Statistical exponential families: A digest with flash cards
Frank Nielsen
Vincent Garcia
88
183
0
25 Nov 2009
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