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MCD: Marginal Contrastive Discrimination for conditional density
  estimation

MCD: Marginal Contrastive Discrimination for conditional density estimation

3 June 2022
Benjamin Riu
ArXiv (abs)PDFHTML

Papers citing "MCD: Marginal Contrastive Discrimination for conditional density estimation"

11 / 11 papers shown
Title
Decoupled Contrastive Learning
Decoupled Contrastive Learning
Chun-Hsiao Yeh
Cheng-Yao Hong
Yen-Chi Hsu
Tyng-Luh Liu
Yubei Chen
Yann LeCun
225
190
0
13 Oct 2021
Revisiting Deep Learning Models for Tabular Data
Revisiting Deep Learning Models for Tabular Data
Yu. V. Gorishniy
Ivan Rubachev
Valentin Khrulkov
Artem Babenko
LMTD
124
765
0
22 Jun 2021
A Survey on Contrastive Self-supervised Learning
A Survey on Contrastive Self-supervised Learning
Ashish Jaiswal
Ashwin Ramesh Babu
Mohammad Zaki Zadeh
Debapriya Banerjee
F. Makedon
SSL
129
1,398
0
31 Oct 2020
Fast multivariate empirical cumulative distribution function with
  connection to kernel density estimation
Fast multivariate empirical cumulative distribution function with connection to kernel density estimation
Nicolas Langrené
X. Warin
18
24
0
07 May 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
165
4,572
0
23 Apr 2020
fastai: A Layered API for Deep Learning
fastai: A Layered API for Deep Learning
Jeremy Howard
Sylvain Gugger
AI4CE
129
869
0
11 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
213
12,124
0
13 Nov 2019
Learning Representations by Maximizing Mutual Information Across Views
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman
R. Devon Hjelm
William Buchwalter
SSL
195
1,477
0
03 Jun 2019
Self-Normalizing Neural Networks
Self-Normalizing Neural Networks
Günter Klambauer
Thomas Unterthiner
Andreas Mayr
Sepp Hochreiter
470
2,519
0
08 Jun 2017
Variational Inference with Normalizing Flows
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRLBDL
322
4,196
0
21 May 2015
Bandwidth selection in kernel density estimation: Oracle inequalities
  and adaptive minimax optimality
Bandwidth selection in kernel density estimation: Oracle inequalities and adaptive minimax optimality
A. Goldenshluger
O. Lepski
393
245
0
06 Sep 2010
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