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Guiding Energy-based Models via Contrastive Latent Variables

Guiding Energy-based Models via Contrastive Latent Variables

6 March 2023
Hankook Lee
Jongheon Jeong
Sejun Park
Jinwoo Shin
    BDL
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Papers citing "Guiding Energy-based Models via Contrastive Latent Variables"

30 / 30 papers shown
Title
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
Michal Balcerak
Tamaz Amiranashvili
Suprosanna Shit
Antonio Terpin
Lea Bogensperger
Sebastian Kaltenbach
Petros Koumoutsakos
Bjoern Menze
DiffM
102
3
0
14 Apr 2025
Bi-level Doubly Variational Learning for Energy-based Latent Variable
  Models
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models
Ge Kan
Jinhu Lu
Tian Wang
Baochang Zhang
Aichun Zhu
Lei Huang
Guodong Guo
H. Snoussi
56
7
0
24 Mar 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
427
7,705
0
11 Nov 2021
JEM++: Improved Techniques for Training JEM
JEM++: Improved Techniques for Training JEM
Xiulong Yang
Shihao Ji
AAML
VLM
50
30
0
19 Sep 2021
Score-based Generative Modeling in Latent Space
Score-based Generative Modeling in Latent Space
Arash Vahdat
Karsten Kreis
Jan Kautz
DiffM
45
680
0
10 Jun 2021
Learning Energy-Based Models by Diffusion Recovery Likelihood
Learning Energy-Based Models by Diffusion Recovery Likelihood
Ruiqi Gao
Yang Song
Ben Poole
Ying Nian Wu
Diederik P. Kingma
DiffM
54
128
0
15 Dec 2020
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffM
SyDa
294
6,409
0
26 Nov 2020
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
247
4,047
0
20 Nov 2020
No MCMC for me: Amortized sampling for fast and stable training of
  energy-based models
No MCMC for me: Amortized sampling for fast and stable training of energy-based models
Will Grathwohl
Jacob Kelly
Milad Hashemi
Mohammad Norouzi
Kevin Swersky
David Duvenaud
62
72
0
08 Oct 2020
NVAE: A Deep Hierarchical Variational Autoencoder
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat
Jan Kautz
BDL
67
908
0
08 Jul 2020
Differentiable Augmentation for Data-Efficient GAN Training
Differentiable Augmentation for Data-Efficient GAN Training
Shengyu Zhao
Zhijian Liu
Ji Lin
Jun-Yan Zhu
Song Han
87
606
0
18 Jun 2020
Improved Techniques for Training Score-Based Generative Models
Improved Techniques for Training Score-Based Generative Models
Yang Song
Stefano Ermon
DiffM
209
1,150
0
16 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
343
6,773
0
13 Jun 2020
MCMC Should Mix: Learning Energy-Based Model with Neural Transport
  Latent Space MCMC
MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC
Erik Nijkamp
Ruiqi Gao
Pavel Sountsov
Srinivas Vasudevan
Bo Pang
Song-Chun Zhu
Ying Nian Wu
BDL
45
21
0
12 Jun 2020
Training Generative Adversarial Networks with Limited Data
Training Generative Adversarial Networks with Limited Data
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
GAN
127
1,882
0
11 Jun 2020
What Makes for Good Views for Contrastive Learning?
What Makes for Good Views for Contrastive Learning?
Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
SSL
84
1,323
0
20 May 2020
Your Classifier is Secretly an Energy Based Model and You Should Treat
  it Like One
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
Will Grathwohl
Kuan-Chieh Wang
J. Jacobsen
David Duvenaud
Mohammad Norouzi
Kevin Swersky
VLM
78
542
0
06 Dec 2019
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
175
12,065
0
13 Nov 2019
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDa
DiffM
213
3,870
0
12 Jul 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
155
2,395
0
13 Jun 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward
  Energy-Based Model
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model
Erik Nijkamp
Mitch Hill
Song-Chun Zhu
Ying Nian Wu
76
212
0
22 Apr 2019
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDL
DRL
281
3,124
0
09 Jul 2018
A Downsampled Variant of ImageNet as an Alternative to the CIFAR
  datasets
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets
P. Chrabaszcz
I. Loshchilov
Frank Hutter
SSeg
OOD
143
645
0
27 Jul 2017
Non-convex learning via Stochastic Gradient Langevin Dynamics: a
  nonasymptotic analysis
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis
Maxim Raginsky
Alexander Rakhlin
Matus Telgarsky
70
521
0
13 Feb 2017
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
415
3,209
0
30 Oct 2016
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
370
7,381
0
12 Sep 2016
Conditional Image Generation with PixelCNN Decoders
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord
Nal Kalchbrenner
Oriol Vinyals
L. Espeholt
Alex Graves
Koray Kavukcuoglu
VLM
185
2,506
0
16 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
252
3,693
0
26 May 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
451
2,566
0
25 Jan 2016
Describing Textures in the Wild
Describing Textures in the Wild
Mircea Cimpoi
Subhransu Maji
Iasonas Kokkinos
S. Mohamed
Andrea Vedaldi
3DV
108
2,661
0
14 Nov 2013
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