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The Optimal Noise in Noise-Contrastive Learning Is Not What You Think

The Optimal Noise in Noise-Contrastive Learning Is Not What You Think

2 March 2022
O. Chehab
Alexandre Gramfort
Aapo Hyvarinen
    OOD
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Papers citing "The Optimal Noise in Noise-Contrastive Learning Is Not What You Think"

16 / 16 papers shown
Title
SoftCVI: Contrastive variational inference with self-generated soft labels
SoftCVI: Contrastive variational inference with self-generated soft labels
Daniel Ward
Mark Beaumont
Matteo Fasiolo
BDL
181
0
0
22 Jul 2024
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
262
30,123
0
01 Mar 2022
Complex Momentum for Optimization in Games
Complex Momentum for Optimization in Games
Jonathan Lorraine
David Acuna
Paul Vicol
David Duvenaud
55
9
0
16 Feb 2021
Array Programming with NumPy
Array Programming with NumPy
Charles R. Harris
K. Millman
S. Walt
R. Gommers
Pauli Virtanen
...
Tyler Reddy
Warren Weckesser
Hameer Abbasi
C. Gohlke
T. Oliphant
147
14,915
0
18 Jun 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
353
18,739
0
13 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
449
42,393
0
03 Dec 2019
Flow Contrastive Estimation of Energy-Based Models
Flow Contrastive Estimation of Energy-Based Models
Ruiqi Gao
Erik Nijkamp
Diederik P. Kingma
Zhen Xu
Andrew M. Dai
Ying Nian Wu
GAN
62
114
0
02 Dec 2019
Prescribed Generative Adversarial Networks
Prescribed Generative Adversarial Networks
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
Michalis K. Titsias
GAN
DRL
46
62
0
09 Oct 2019
Noise Contrastive Estimation and Negative Sampling for Conditional
  Models: Consistency and Statistical Efficiency
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency
Zhuang Ma
Michael Collins
61
147
0
06 Sep 2018
Analysis of Noise Contrastive Estimation from the Perspective of
  Asymptotic Variance
Analysis of Noise Contrastive Estimation from the Perspective of Asymptotic Variance
Masatoshi Uehara
Takeru Matsuda
F. Komaki
48
13
0
24 Aug 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
302
10,282
0
10 Jul 2018
Learning in Implicit Generative Models
Learning in Implicit Generative Models
S. Mohamed
Balaji Lakshminarayanan
GAN
186
416
0
11 Oct 2016
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
387
33,521
0
16 Oct 2013
A Fast and Simple Algorithm for Training Neural Probabilistic Language
  Models
A Fast and Simple Algorithm for Training Neural Probabilistic Language Models
A. Mnih
Yee Whye Teh
161
578
0
27 Jun 2012
A Family of Computationally Efficient and Simple Estimators for
  Unnormalized Statistical Models
A Family of Computationally Efficient and Simple Estimators for Unnormalized Statistical Models
Miika Pihlaja
Michael U. Gutmann
Aapo Hyvarinen
67
44
0
15 Mar 2012
Bregman divergence as general framework to estimate unnormalized
  statistical models
Bregman divergence as general framework to estimate unnormalized statistical models
Michael U. Gutmann
J. Hirayama
64
79
0
14 Feb 2012
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