ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1807.04720
  4. Cited By
A Large-Scale Study on Regularization and Normalization in GANs

A Large-Scale Study on Regularization and Normalization in GANs

12 July 2018
Karol Kurach
Mario Lucic
Xiaohua Zhai
Marcin Michalski
Sylvain Gelly
    AI4CE
ArXivPDFHTML

Papers citing "A Large-Scale Study on Regularization and Normalization in GANs"

50 / 81 papers shown
Title
Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality
Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality
Ruijia Zhang
Siliang Zeng
Chenliang Li
Alfredo García
Mingyi Hong
62
0
0
22 Mar 2025
SEAL: SEmantic-Augmented Imitation Learning via Language Model
SEAL: SEmantic-Augmented Imitation Learning via Language Model
Chengyang Gu
Yuxin Pan
Haotian Bai
Hui Xiong
Yize Chen
27
0
0
03 Oct 2024
Towards Practical Non-Adversarial Distribution Matching
Towards Practical Non-Adversarial Distribution Matching
Ziyu Gong
Ben Usman
Han Zhao
David I. Inouye
OOD
19
1
0
30 Oct 2023
SatDM: Synthesizing Realistic Satellite Image with Semantic Layout
  Conditioning using Diffusion Models
SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion Models
Ethan Brewer
Hamid Askarov
Imran Ibrahimli
Ismat Bakhishov
N. Nabiyev
DiffM
11
4
0
28 Sep 2023
Penalty Gradient Normalization for Generative Adversarial Networks
Penalty Gradient Normalization for Generative Adversarial Networks
Tian Xia
GAN
16
1
0
23 Jun 2023
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees
Siliang Zeng
Chenliang Li
Alfredo García
Min-Fong Hong
29
42
0
04 Oct 2022
Regularized Soft Actor-Critic for Behavior Transfer Learning
Regularized Soft Actor-Critic for Behavior Transfer Learning
Mingxi Tan
Andong Tian
Ludovic Denoyer
20
3
0
27 Sep 2022
Cooperative Distribution Alignment via JSD Upper Bound
Cooperative Distribution Alignment via JSD Upper Bound
Wonwoong Cho
Ziyu Gong
David I. Inouye
19
3
0
05 Jul 2022
Adversarial synthesis based data-augmentation for code-switched spoken
  language identification
Adversarial synthesis based data-augmentation for code-switched spoken language identification
P. Shastri
Chirag Patil
Poorval Wanere
S. Mahajan
Abhishek Bhatt
Dr. Hardik Sailor
10
0
0
30 May 2022
RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular
  Data Synthesis
RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular Data Synthesis
Mohammad Esmaeilpour
Nourhene Chaalia
Adel Abusitta
François-Xavier Devailly
Wissem Maazoun
P. Cardinal
GAN
9
2
0
24 May 2022
Sources of Irreproducibility in Machine Learning: A Review
Sources of Irreproducibility in Machine Learning: A Review
Odd Erik Gundersen
Kevin Coakley
Christine R. Kirkpatrick
Yolanda Gil
SyDa
19
33
0
15 Apr 2022
A survey on GANs for computer vision: Recent research, analysis and
  taxonomy
A survey on GANs for computer vision: Recent research, analysis and taxonomy
Guillermo Iglesias
Edgar Talavera
Alberto Díaz-Álvarez
EGVM
AI4TS
13
58
0
21 Mar 2022
Learning Spatially-Adaptive Squeeze-Excitation Networks for Image
  Synthesis and Image Recognition
Learning Spatially-Adaptive Squeeze-Excitation Networks for Image Synthesis and Image Recognition
Jianghao Shen
Tianfu Wu
ViT
16
0
0
29 Dec 2021
Data Collection and Quality Challenges in Deep Learning: A Data-Centric
  AI Perspective
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective
Steven Euijong Whang
Yuji Roh
Hwanjun Song
Jae-Gil Lee
11
323
0
13 Dec 2021
Projected GANs Converge Faster
Projected GANs Converge Faster
Axel Sauer
Kashyap Chitta
Jens Muller
Andreas Geiger
36
233
0
01 Nov 2021
Iterative Alignment Flows
Iterative Alignment Flows
Zeyu Zhou
Ziyu Gong
Pradeep Ravikumar
David I. Inouye
OT
DRL
11
4
0
15 Apr 2021
PeaceGAN: A GAN-based Multi-Task Learning Method for SAR Target Image
  Generation with a Pose Estimator and an Auxiliary Classifier
PeaceGAN: A GAN-based Multi-Task Learning Method for SAR Target Image Generation with a Pose Estimator and an Auxiliary Classifier
Jihyong Oh
Munchurl Kim
GAN
19
20
0
29 Mar 2021
Deep Consensus Learning
Deep Consensus Learning
Wei Sun
Tianfu Wu
24
2
0
15 Mar 2021
Learning Unsupervised Cross-domain Image-to-Image Translation Using a
  Shared Discriminator
Learning Unsupervised Cross-domain Image-to-Image Translation Using a Shared Discriminator
Rajiv Kumar
Rishabh Dabral
G. Sivakumar
6
5
0
09 Feb 2021
Generating unseen complex scenes: are we there yet?
Generating unseen complex scenes: are we there yet?
Arantxa Casanova
M. Drozdzal
Adriana Romero Soriano
14
13
0
07 Dec 2020
Exploring Generative Adversarial Networks for Image-to-Image Translation
  in STEM Simulation
Exploring Generative Adversarial Networks for Image-to-Image Translation in STEM Simulation
N. Lawrence
Mingren Shen
Ruiqing Yin
Cloris Feng
D. Morgan
GAN
16
2
0
29 Oct 2020
Generative Adversarial Networks in Human Emotion Synthesis:A Review
Generative Adversarial Networks in Human Emotion Synthesis:A Review
Noushin Hajarolasvadi
M. A. Ramírez
H. Demirel
GAN
11
20
0
28 Oct 2020
Self-Imitation Learning for Robot Tasks with Sparse and Delayed Rewards
Self-Imitation Learning for Robot Tasks with Sparse and Delayed Rewards
Zhixin Chen
Mengxiang Lin
11
5
0
14 Oct 2020
A Systematic Survey of Regularization and Normalization in GANs
A Systematic Survey of Regularization and Normalization in GANs
Ziqiang Li
Muhammad Usman
Rentuo Tao
Pengfei Xia
Xintian Wu
Huanhuan Chen
Bin Li
22
49
0
19 Aug 2020
Bridging Maximum Likelihood and Adversarial Learning via
  $α$-Divergence
Bridging Maximum Likelihood and Adversarial Learning via ααα-Divergence
Miaoyun Zhao
Yulai Cong
Shuyang Dai
Lawrence Carin
GAN
19
10
0
13 Jul 2020
Efficient Learning of Generative Models via Finite-Difference Score
  Matching
Efficient Learning of Generative Models via Finite-Difference Score Matching
Tianyu Pang
Kun Xu
Chongxuan Li
Yang Song
Stefano Ermon
Jun Zhu
DiffM
20
53
0
07 Jul 2020
Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial
  Imitation Learning
Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning
Lionel Blondé
Pablo Strasser
Alexandros Kalousis
22
22
0
28 Jun 2020
Mimicry: Towards the Reproducibility of GAN Research
Mimicry: Towards the Reproducibility of GAN Research
Kwot Sin Lee
C. Town
OffRL
15
28
0
05 May 2020
Adversarial Latent Autoencoders
Adversarial Latent Autoencoders
Stanislav Pidhorskyi
Donald Adjeroh
Gianfranco Doretto
GAN
DRL
34
259
0
09 Apr 2020
A U-Net Based Discriminator for Generative Adversarial Networks
A U-Net Based Discriminator for Generative Adversarial Networks
Edgar Schönfeld
Bernt Schiele
Anna Khoreva
GAN
25
291
0
28 Feb 2020
A Novel Framework for Selection of GANs for an Application
A Novel Framework for Selection of GANs for an Application
Tanya Motwani
Manojkumar Somabhai Parmar
19
8
0
20 Feb 2020
Relational Mimic for Visual Adversarial Imitation Learning
Relational Mimic for Visual Adversarial Imitation Learning
Lionel Blondé
Yichuan Tang
Jian Andrew Zhang
Russ Webb
17
0
0
18 Dec 2019
Hierarchical Mixtures of Generators for Adversarial Learning
Hierarchical Mixtures of Generators for Adversarial Learning
Alper Ahmetoglu
Ethem Alpaydin
GAN
11
5
0
05 Nov 2019
Investigating Under and Overfitting in Wasserstein Generative
  Adversarial Networks
Investigating Under and Overfitting in Wasserstein Generative Adversarial Networks
Ben Adlam
Charles Weill
Amol Kapoor
8
17
0
30 Oct 2019
Semantic Preserving Generative Adversarial Models
Semantic Preserving Generative Adversarial Models
Shahar Harel
Meir Maor
A. Ronen
GAN
21
0
0
07 Oct 2019
Enhancing high-content imaging for studying microtubule networks at
  large-scale
Enhancing high-content imaging for studying microtubule networks at large-scale
Hao-Chih Lee
S. Cherng
Riccardo Miotto
J. Dudley
15
5
0
01 Oct 2019
Understanding and Stabilizing GANs' Training Dynamics with Control
  Theory
Understanding and Stabilizing GANs' Training Dynamics with Control Theory
Kun Xu
Chongxuan Li
Jun Zhu
Bo Zhang
GAN
38
10
0
29 Sep 2019
Variational Conditional GAN for Fine-grained Controllable Image
  Generation
Variational Conditional GAN for Fine-grained Controllable Image Generation
Mingqi Hu
Deyu Zhou
Yulan He
DRL
13
6
0
22 Sep 2019
Open Event Extraction from Online Text using a Generative Adversarial
  Network
Open Event Extraction from Online Text using a Generative Adversarial Network
Rui Wang
Deyu Zhou
Yulan He
14
42
0
25 Aug 2019
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
Xinyu Gong
Shiyu Chang
Yifan Jiang
Zhangyang Wang
GAN
27
263
0
11 Aug 2019
InSituNet: Deep Image Synthesis for Parameter Space Exploration of
  Ensemble Simulations
InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations
Wenbin He
Junpeng Wang
Hanqi Guo
Ko-Chih Wang
Han-Wei Shen
Mukund Raj
Y. Nashed
Tom Peterka
20
88
0
01 Aug 2019
Generative Adversarial Networks in Computer Vision: A Survey and
  Taxonomy
Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy
Zhengwei Wang
Qi She
T. Ward
MedIm
EGVM
27
90
0
04 Jun 2019
SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards
SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards
S. Reddy
Anca Dragan
Sergey Levine
OffRL
12
52
0
27 May 2019
Deep Compressed Sensing
Deep Compressed Sensing
Yan Wu
Mihaela Rosca
Timothy Lillicrap
GAN
10
162
0
16 May 2019
ReshapeGAN: Object Reshaping by Providing A Single Reference Image
ReshapeGAN: Object Reshaping by Providing A Single Reference Image
Ziqiang Zheng
Yang Wu
Zhibin Yu
Yang Yang
Haiyong Zheng
T. Kanade
GAN
10
0
0
16 May 2019
Label-Noise Robust Multi-Domain Image-to-Image Translation
Label-Noise Robust Multi-Domain Image-to-Image Translation
Takuhiro Kaneko
Tatsuya Harada
17
3
0
06 May 2019
Towards Photographic Image Manipulation with Balanced Growing of
  Generative Autoencoders
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders
Ari Heljakka
Arno Solin
Juho Kannala
DRL
CVBM
24
15
0
12 Apr 2019
Elucidating image-to-set prediction: An analysis of models, losses and
  datasets
Elucidating image-to-set prediction: An analysis of models, losses and datasets
Luis Villaseñor-Pineda
Amaia Salvador
M. Drozdzal
Adriana Romero
14
12
0
11 Apr 2019
Conditional Adversarial Generative Flow for Controllable Image Synthesis
Conditional Adversarial Generative Flow for Controllable Image Synthesis
R. Liu
Yu Liu
Xinyu Gong
Xiaogang Wang
Hongsheng Li
19
45
0
03 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
12
Next