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Assessing Generative Models via Precision and Recall

Assessing Generative Models via Precision and Recall

31 May 2018
Mehdi S. M. Sajjadi
Olivier Bachem
Mario Lucic
Olivier Bousquet
Sylvain Gelly
    EGVM
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Papers citing "Assessing Generative Models via Precision and Recall"

46 / 346 papers shown
Title
Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data
Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data
Ruchit Rawal
Prabhu Pradhan
20
1
0
26 Apr 2020
A Non-Parametric Test to Detect Data-Copying in Generative Models
A Non-Parametric Test to Detect Data-Copying in Generative Models
Casey Meehan
Kamalika Chaudhuri
S. Dasgupta
21
62
0
12 Apr 2020
Topology Distance: A Topology-Based Approach For Evaluating Generative
  Adversarial Networks
Topology Distance: A Topology-Based Approach For Evaluating Generative Adversarial Networks
Danijela Horak
Simiao Yu
G. Salimi-Khorshidi
EGVM
19
16
0
27 Feb 2020
Regularized Autoencoders via Relaxed Injective Probability Flow
Regularized Autoencoders via Relaxed Injective Probability Flow
Abhishek Kumar
Ben Poole
Kevin Patrick Murphy
BDL
TPM
DRL
8
38
0
20 Feb 2020
Improving the Evaluation of Generative Models with Fuzzy Logic
Improving the Evaluation of Generative Models with Fuzzy Logic
Julian Niedermeier
Gonçalo Mordido
Christoph Meinel
EGVM
14
3
0
03 Feb 2020
RPGAN: GANs Interpretability via Random Routing
RPGAN: GANs Interpretability via Random Routing
A. Voynov
Artem Babenko
GAN
11
7
0
23 Dec 2019
MetalGAN: Multi-Domain Label-Less Image Synthesis Using cGANs and
  Meta-Learning
MetalGAN: Multi-Domain Label-Less Image Synthesis Using cGANs and Meta-Learning
Tomaso Fontanini
Eleonora Iotti
Luca Donati
Andrea Prati
GAN
AI4CE
24
23
0
05 Dec 2019
Analyzing and Improving the Image Quality of StyleGAN
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras
S. Laine
M. Aittala
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
20
5,720
0
03 Dec 2019
Semantic Bottleneck Scene Generation
Semantic Bottleneck Scene Generation
S. Azadi
Michael Tschannen
Eric Tzeng
Sylvain Gelly
Trevor Darrell
Mario Lucic
21
29
0
26 Nov 2019
Mean-field inference methods for neural networks
Mean-field inference methods for neural networks
Marylou Gabrié
AI4CE
16
32
0
03 Nov 2019
Establishing an Evaluation Metric to Quantify Climate Change Image
  Realism
Establishing an Evaluation Metric to Quantify Climate Change Image Realism
Sharon Zhou
A. Luccioni
Gautier Cosne
Michael S. Bernstein
Yoshua Bengio
13
7
0
22 Oct 2019
Mining GOLD Samples for Conditional GANs
Mining GOLD Samples for Conditional GANs
Sangwoo Mo
Chiheon Kim
Sungwoong Kim
Minsu Cho
Jinwoo Shin
GAN
AI4CE
23
20
0
21 Oct 2019
A Large-scale Study of Representation Learning with the Visual Task
  Adaptation Benchmark
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark
Xiaohua Zhai
J. Puigcerver
A. Kolesnikov
P. Ruyssen
C. Riquelme
...
Michael Tschannen
Marcin Michalski
Olivier Bousquet
Sylvain Gelly
N. Houlsby
SSL
28
425
0
01 Oct 2019
A Characteristic Function Approach to Deep Implicit Generative Modeling
A Characteristic Function Approach to Deep Implicit Generative Modeling
Abdul Fatir Ansari
Jonathan Scarlett
Harold Soh
VLM
GAN
8
39
0
16 Sep 2019
Flow Models for Arbitrary Conditional Likelihoods
Flow Models for Arbitrary Conditional Likelihoods
Y. Li
Shoaib Akbar
Junier B. Oliva
OOD
AI4CE
10
39
0
13 Sep 2019
Master your Metrics with Calibration
Master your Metrics with Calibration
W. Siblini
Jordan Fréry
Liyun He-Guelton
Frédéric Oblé
Yi-Qing Wang
6
29
0
06 Sep 2019
The Bottom-up Evolution of Representations in the Transformer: A Study
  with Machine Translation and Language Modeling Objectives
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
Elena Voita
Rico Sennrich
Ivan Titov
193
181
0
03 Sep 2019
An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from
  Imbalanced Data
An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data
Rémi Viola
Rémi Emonet
Amaury Habrard
Guillaume Metzler
Sébastien Riou
M. Sebban
14
2
0
02 Sep 2019
Adversarial Video Generation on Complex Datasets
Adversarial Video Generation on Complex Datasets
Aidan Clark
Jeff Donahue
Karen Simonyan
VGen
GAN
27
74
0
15 Jul 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2
Generating Diverse High-Fidelity Images with VQ-VAE-2
Ali Razavi
Aaron van den Oord
Oriol Vinyals
DRL
BDL
9
1,761
0
02 Jun 2019
Classification Accuracy Score for Conditional Generative Models
Classification Accuracy Score for Conditional Generative Models
Suman V. Ravuri
Oriol Vinyals
EGVM
11
228
0
26 May 2019
Precision-Recall Curves Using Information Divergence Frontiers
Precision-Recall Curves Using Information Divergence Frontiers
Josip Djolonga
Mario Lucic
Marco Cuturi
Olivier Bachem
Olivier Bousquet
Sylvain Gelly
10
4
0
26 May 2019
Generative Latent Flow
Generative Latent Flow
Zhisheng Xiao
Qing Yan
Y. Amit
DRL
7
15
0
24 May 2019
Revisiting Precision and Recall Definition for Generative Model
  Evaluation
Revisiting Precision and Recall Definition for Generative Model Evaluation
Loïc Simon
Ryan Webster
Julien Rabin
11
16
0
14 May 2019
Generated Loss and Augmented Training of MNIST VAE
Generated Loss and Augmented Training of MNIST VAE
Jason Chou
DRL
GAN
11
5
0
24 Apr 2019
Generated Loss, Augmented Training, and Multiscale VAE
Generated Loss, Augmented Training, and Multiscale VAE
Jason Chou
Gautam Hathi
DRL
12
3
0
23 Apr 2019
Improved Precision and Recall Metric for Assessing Generative Models
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkaanniemi
Tero Karras
S. Laine
J. Lehtinen
Timo Aila
EGVM
11
824
0
15 Apr 2019
Unifying Human and Statistical Evaluation for Natural Language
  Generation
Unifying Human and Statistical Evaluation for Natural Language Generation
Tatsunori B. Hashimoto
Hugh Zhang
Percy Liang
14
222
0
04 Apr 2019
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative
  Models
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models
Sharon Zhou
Mitchell L. Gordon
Ranjay Krishna
Austin Narcomey
Li Fei-Fei
Michael S. Bernstein
VLM
EGVM
6
118
0
01 Apr 2019
From Variational to Deterministic Autoencoders
From Variational to Deterministic Autoencoders
Partha Ghosh
Mehdi S. M. Sajjadi
Antonio Vergari
Michael J. Black
Bernhard Schölkopf
DRL
17
269
0
29 Mar 2019
High-Fidelity Image Generation With Fewer Labels
High-Fidelity Image Generation With Fewer Labels
Mario Lucic
Michael Tschannen
Marvin Ritter
Xiaohua Zhai
Olivier Bachem
Sylvain Gelly
GAN
OOD
31
157
0
06 Mar 2019
Adversarial Augmentation for Enhancing Classification of Mammography
  Images
Adversarial Augmentation for Enhancing Classification of Mammography Images
Lukás Jendele
Ondrej Skopek
Anton S. Becker
E. Konukoglu
MedIm
GAN
20
5
0
20 Feb 2019
A Forest from the Trees: Generation through Neighborhoods
A Forest from the Trees: Generation through Neighborhoods
Yang Li
Tianxiang Gao
Junier B. Oliva
17
5
0
04 Feb 2019
Out-of-Sample Testing for GANs
Out-of-Sample Testing for GANs
Pablo Sánchez-Martín
Pablo Martínez Olmos
F. Pérez-Cruz
17
2
0
28 Jan 2019
Detecting Overfitting of Deep Generative Networks via Latent Recovery
Detecting Overfitting of Deep Generative Networks via Latent Recovery
Ryan Webster
Julien Rabin
Loïc Simon
F. Jurie
GAN
14
98
0
09 Jan 2019
Adaptive Density Estimation for Generative Models
Adaptive Density Estimation for Generative Models
Thomas Lucas
K. Shmelkov
Alahari Karteek
Cordelia Schmid
Jakob Verbeek
GAN
DRL
19
32
0
04 Jan 2019
Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors
Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors
Yedid Hoshen
Jitendra Malik
GAN
6
56
0
21 Dec 2018
Counterfactuals uncover the modular structure of deep generative models
Counterfactuals uncover the modular structure of deep generative models
M. Besserve
Arash Mehrjou
Rémy Sun
Bernhard Schölkopf
DRL
BDL
DiffM
13
107
0
08 Dec 2018
Self-Supervised GANs via Auxiliary Rotation Loss
Self-Supervised GANs via Auxiliary Rotation Loss
Ting Chen
Xiaohua Zhai
Marvin Ritter
Mario Lucic
N. Houlsby
SSL
GAN
11
302
0
27 Nov 2018
Self-Supervised GAN to Counter Forgetting
Self-Supervised GAN to Counter Forgetting
Ting Chen
Xiaohua Zhai
N. Houlsby
CLL
GAN
SSL
11
8
0
27 Oct 2018
On Self Modulation for Generative Adversarial Networks
On Self Modulation for Generative Adversarial Networks
Ting Chen
Mario Lucic
N. Houlsby
Sylvain Gelly
GAN
19
104
0
02 Oct 2018
A Large-Scale Study on Regularization and Normalization in GANs
A Large-Scale Study on Regularization and Normalization in GANs
Karol Kurach
Mario Lucic
Xiaohua Zhai
Marcin Michalski
Sylvain Gelly
AI4CE
22
154
0
12 Jul 2018
Pros and Cons of GAN Evaluation Measures
Pros and Cons of GAN Evaluation Measures
Ali Borji
ELM
EGVM
23
865
0
09 Feb 2018
Are GANs Created Equal? A Large-Scale Study
Are GANs Created Equal? A Large-Scale Study
Mario Lucic
Karol Kurach
Marcin Michalski
Sylvain Gelly
Olivier Bousquet
EGVM
14
1,003
0
28 Nov 2017
Lifelong Generative Modeling
Lifelong Generative Modeling
Jason Ramapuram
Magda Gregorova
Alexandros Kalousis
BDL
CLL
19
119
0
27 May 2017
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
78
390
0
20 Oct 2016
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