CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network

5 March 2021

Papers citing "CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network"

47 / 47 papers shown

Title
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong Guosheng Lin MLLM BDL VLM CLIP 446 4,283 0 28 Jan 2022
Contrastive Fine-grained Class Clustering via Generative Adversarial Networks Yunji Kim Jung-Woo Ha GAN 68 13 0 30 Dec 2021
Self-supervised Enhancement of Latent Discovery in GANs Silpa Vadakkeeveetil Sreelatha Adarsh Kappiyath S. Sumitra 56 3 0 16 Dec 2021
Stein Latent Optimization for Generative Adversarial Networks Uiwon Hwang Heeseung Kim Dahuin Jung Hyemi Jang Hyungyu Lee Sungroh Yoon GAN 37 2 0 09 Jun 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations Debidatta Dwibedi Y. Aytar Jonathan Tompson P. Sermanet Andrew Zisserman SSL 219 465 0 29 Apr 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 587 5,920 0 29 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 689 28,659 0 26 Feb 2021
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View Xuanchi Ren Tao Yang Yuwang Wang W. Zeng CoGe OCL DRL 47 39 0 21 Feb 2021
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 195 3,992 0 20 Nov 2020
Dense Contrastive Learning for Self-Supervised Visual Pre-Training Xinlong Wang Rufeng Zhang Chunhua Shen Tao Kong Lei Li SSL 62 679 0 18 Nov 2020
A Survey on Contrastive Self-supervised Learning Ashish Jaiswal Ashwin Ramesh Babu Mohammad Zaki Zadeh Debapriya Banerjee F. Makedon SSL 103 1,379 0 31 Oct 2020
Closed-Form Factorization of Latent Semantics in GANs Yujun Shen Bolei Zhou GAN 70 589 0 13 Jul 2020
Whitening for Self-Supervised Representation Learning Aleksandr Ermolov Aliaksandr Siarohin E. Sangineto N. Sebe SSL 63 310 0 13 Jul 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 182 4,051 0 17 Jun 2020
On Mutual Information in Contrastive Learning for Visual Representations Mike Wu Chengxu Zhuang Milan Mossé Daniel L. K. Yamins Noah D. Goodman SSL 46 83 0 27 May 2020
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere Tongzhou Wang Phillip Isola SSL 106 1,808 0 20 May 2020
A Disentangling Invertible Interpretation Network for Explaining Latent Representations Patrick Esser Robin Rombach Bjorn Ommer 38 88 0 27 Apr 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 120 4,505 0 23 Apr 2020
GANSpace: Discovering Interpretable GAN Controls Erik Härkönen Aaron Hertzmann J. Lehtinen Sylvain Paris 101 901 0 06 Apr 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 226 10,591 0 17 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 260 18,607 0 13 Feb 2020
OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering Yaniv Benny Lior Wolf VLM GAN 36 48 0 31 Dec 2019
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation Yuheng Li Krishna Kumar Singh Utkarsh Ojha Yong Jae Lee CoGe 31 76 0 26 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 115 12,007 0 13 Nov 2019
Weakly Supervised Disentanglement with Guarantees Rui Shu Yining Chen Abhishek Kumar Stefano Ermon Ben Poole CoGe DRL 86 137 0 22 Oct 2019
On Mutual Information Maximization for Representation Learning Michael Tschannen Josip Djolonga Paul Kishan Rubenstein Sylvain Gelly Mario Lucic SSL 145 490 0 31 Jul 2019
Interpreting the Latent Space of GANs for Semantic Face Editing Yujun Shen Jinjin Gu Xiaoou Tang Bolei Zhou CVBM GAN 101 1,119 0 25 Jul 2019
Demystifying Inter-Class Disentanglement Aviv Gabbay Yedid Hoshen DRL 31 56 0 27 Jun 2019
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs Zinan Lin K. K. Thekumparampil Giulia Fanti Sewoong Oh DRL 52 37 0 14 Jun 2019
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization Bingchen Liu Yizhe Zhu Zuohui Fu Gerard de Melo Ahmed Elgammal CML 56 43 0 26 May 2019
A Theoretical Analysis of Contrastive Unsupervised Representation Learning Sanjeev Arora H. Khandeparkar M. Khodak Orestis Plevrakis Nikunj Saunshi SSL 86 768 0 25 Feb 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 513 10,500 0 12 Dec 2018
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks Sudipto Mukherjee Himanshu Asnani Eugene Lin Sreeram Kannan GAN 37 335 0 10 Sep 2018
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 252 2,649 0 20 Aug 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 233 10,152 0 10 Jul 2018
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 148 3,437 0 05 May 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 47 1,336 0 16 Feb 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 141 4,421 0 16 Feb 2018
Interpretable Convolutional Neural Networks Quanshi Zhang Ying Nian Wu Song-Chun Zhu FAtt 50 778 0 02 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 178 8,807 0 25 Aug 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 141 9,509 0 31 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 763 11,793 0 09 Mar 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 354 3,742 0 28 Feb 2017
Learning in Implicit Generative Models S. Mohamed Balaji Lakshminarayanan GAN 118 415 0 11 Oct 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 140 4,224 0 12 Jun 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 383 8,999 0 10 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015