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Discriminator Rejection Sampling

Discriminator Rejection Sampling

16 October 2018
S. Azadi
Catherine Olsson
Trevor Darrell
Ian Goodfellow
Augustus Odena
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Papers citing "Discriminator Rejection Sampling"

29 / 29 papers shown
Title
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning
Kaiyan Zhao
Yiming Wang
Yuyang Chen
Yan Li
Leong Hou U
Xiaoguang Niu
39
1
0
27 Oct 2024
Assessing Sample Quality via the Latent Space of Generative Models
Assessing Sample Quality via the Latent Space of Generative Models
Jingyi Xu
Hieu M. Le
Dimitris Samaras
MedIm
39
2
0
21 Jul 2024
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming
  Generative Adversarial Networks
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks
R. Ramachandranpillai
Md Fahim Sikder
David Bergstrom
Fredrik Heintz
SyDa
38
6
0
21 Apr 2024
Coupled Variational Autoencoder
Coupled Variational Autoencoder
Xiaoran Hao
Patrick Shafto
BDL
DRL
24
4
0
05 Jun 2023
Refining Generative Process with Discriminator Guidance in Score-based
  Diffusion Models
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
Dongjun Kim
Yeongmin Kim
Se Jung Kwon
Wanmo Kang
Il-Chul Moon
DiffM
44
86
0
28 Nov 2022
High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled
  Conditions
High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions
Sangyun Lee
Gyojung Gu
S. Park
Seunghwan Choi
Jaegul Choo
DiffM
76
128
0
28 Jun 2022
Generating High Fidelity Data from Low-density Regions using Diffusion
  Models
Generating High Fidelity Data from Low-density Regions using Diffusion Models
Vikash Sehwag
C. Hazirbas
Albert Gordo
Firat Ozgenel
Cristian Canton Ferrer
DiffM
38
66
0
31 Mar 2022
Polarity Sampling: Quality and Diversity Control of Pre-Trained
  Generative Networks via Singular Values
Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values
Ahmed Imtiaz Humayun
Randall Balestriero
Richard Baraniuk
24
31
0
03 Mar 2022
FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations
FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations
Cemre Karakas
Alara Dirik
Eylül Yalçınkaya
Pinar Yanardag
25
29
0
13 Feb 2022
Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot
  Study
Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study
Zhenyu Wu
Zhaowen Wang
Ye Yuan
Jianming Zhang
Zhangyang Wang
Hailin Jin
37
4
0
23 Jul 2021
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative
  Adversarial Networks
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
J. Lee
Haeri Kim
Youngkyu Hong
Hye Won Chung
25
21
0
24 Feb 2021
Social NCE: Contrastive Learning of Socially-aware Motion
  Representations
Social NCE: Contrastive Learning of Socially-aware Motion Representations
Yuejiang Liu
Qi Yan
Alexandre Alahi
29
101
0
21 Dec 2020
On the Evaluation of Generative Adversarial Networks By Discriminative
  Models
On the Evaluation of Generative Adversarial Networks By Discriminative Models
A. Torfi
Mohammadreza Beyki
Edward A. Fox
EGVM
24
7
0
07 Oct 2020
Private Post-GAN Boosting
Private Post-GAN Boosting
Marcel Neunhoeffer
Zhiwei Steven Wu
Cynthia Dwork
116
29
0
23 Jul 2020
Residual Energy-Based Models for Text Generation
Residual Energy-Based Models for Text Generation
Yuntian Deng
A. Bakhtin
Myle Ott
Arthur Szlam
MarcÁurelio Ranzato
20
125
0
22 Apr 2020
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling
  by Exploring Energy of the Discriminator
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator
Yuxuan Song
Qiwei Ye
Minkai Xu
Tie-Yan Liu
25
8
0
05 Apr 2020
GAN Compression: Efficient Architectures for Interactive Conditional
  GANs
GAN Compression: Efficient Architectures for Interactive Conditional GANs
Muyang Li
Ji Lin
Yaoyao Ding
Zhijian Liu
Jun-Yan Zhu
Song Han
GAN
22
2
0
19 Mar 2020
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Sangwoo Mo
Minsu Cho
Jinwoo Shin
30
212
0
25 Feb 2020
Effective Data Augmentation with Multi-Domain Learning GANs
Effective Data Augmentation with Multi-Domain Learning GANs
Shin'ya Yamaguchi
Sekitoshi Kanai
Takeharu Eda
24
27
0
25 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
Small-GAN: Speeding Up GAN Training Using Core-sets
Small-GAN: Speeding Up GAN Training Using Core-sets
Samarth Sinha
Hang Zhang
Anirudh Goyal
Yoshua Bengio
Hugo Larochelle
Augustus Odena
GAN
38
72
0
29 Oct 2019
Fair Generative Modeling via Weak Supervision
Fair Generative Modeling via Weak Supervision
Kristy Choi
Aditya Grover
Trisha Singh
Rui Shu
Stefano Ermon
33
134
0
26 Oct 2019
Bridging the Gap Between $f$-GANs and Wasserstein GANs
Bridging the Gap Between fff-GANs and Wasserstein GANs
Jiaming Song
Stefano Ermon
16
40
0
22 Oct 2019
Prescribed Generative Adversarial Networks
Prescribed Generative Adversarial Networks
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
Michalis K. Titsias
GAN
DRL
21
61
0
09 Oct 2019
Subsampling Generative Adversarial Networks: Density Ratio Estimation in
  Feature Space with Softplus Loss
Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss
Xin Ding
Z. Jane Wang
William J. Welch
19
18
0
24 Sep 2019
Bias Correction of Learned Generative Models using Likelihood-Free
  Importance Weighting
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
Aditya Grover
Jiaming Song
Alekh Agarwal
Kenneth Tran
Ashish Kapoor
Eric Horvitz
Stefano Ermon
26
123
0
23 Jun 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
16
1,767
0
02 Jun 2019
Collaborative Sampling in Generative Adversarial Networks
Collaborative Sampling in Generative Adversarial Networks
Yuejiang Liu
Parth Kothari
Alexandre Alahi
TTA
28
16
0
02 Feb 2019
Metropolis-Hastings view on variational inference and adversarial
  training
Metropolis-Hastings view on variational inference and adversarial training
Kirill Neklyudov
Evgenii Egorov
Pavel Shvechikov
Dmitry Vetrov
GAN
29
13
0
16 Oct 2018
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