f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization

2 June 2016

Papers citing "f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization"

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Title
Unsupervised Text Style Transfer with Deep Generative Models Zhongtao Jiang Yuanzhe Zhang Yiming Ju Kang Liu 80 0 0 31 Aug 2023
Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art Tanujit Chakraborty Ujjwal Reddy K S Shraddha M. Naik Madhurima Panja B. Manvitha 117 74 0 30 Aug 2023
A Unifying Generator Loss Function for Generative Adversarial Networks Justin Veiner F. Alajaji Bahman Gharesifard GAN 67 5 0 14 Aug 2023
Learn Single-horizon Disease Evolution for Predictive Generation of Post-therapeutic Neovascular Age-related Macular Degeneration Yuhan Zhang Kun Huang Mingchao Li Songtao Yuan Qiang Chen MedIm 39 3 0 12 Aug 2023
Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization Yujie Zhou Jingyao Wang Anyi Rao Ning Lin Fuchun Sun Jiaqi Wang 80 15 0 07 Aug 2023
Image Synthesis under Limited Data: A Survey and Taxonomy Mengping Yang Zhe Wang 100 10 0 31 Jul 2023
Entropy Neural Estimation for Graph Contrastive Learning Yixuan Ma Xiaolin Zhang Peng Zhang Kun Zhan SSL 127 15 0 26 Jul 2023
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning Yun Zhu Haizhou Shi Zhenshuo Zhang Siliang Tang 132 9 0 24 Jul 2023
Complexity Matters: Rethinking the Latent Space for Generative Modeling Tianyang Hu Fei Chen Hong Wang Jiawei Li Wei Cao Jiacheng Sun Zechao Li DiffM 120 10 0 17 Jul 2023
DiffFlow: A Unified SDE Framework for Score-Based Diffusion Models and Generative Adversarial Networks Jingwei Zhang Han Shi Jincheng Yu Enze Xie Zhenguo Li DiffM 70 3 0 05 Jul 2023
Learning Degradation-Independent Representations for Camera ISP Pipelines Yanhui Guo Fangzhou Luo Xiaolin Wu 64 6 0 03 Jul 2023
Beyond Normal: On the Evaluation of Mutual Information Estimators Paweł Czyż Frederic Grabowski Julia E. Vogt N. Beerenwinkel Alexander Marx 109 35 0 19 Jun 2023
Stabilizing GANs' Training with Brownian Motion Controller Tianjiao Luo Ziyu Zhu Jianfei Chen Jun Zhu 73 4 0 18 Jun 2023
Deep Generative Models for Decision-Making and Control Michael Janner 78 1 0 15 Jun 2023
MiniLLM: Knowledge Distillation of Large Language Models Yuxian Gu Li Dong Furu Wei Minlie Huang ALM 157 78 0 14 Jun 2023
State Regularized Policy Optimization on Data with Dynamics Shift Zhenghai Xue Qingpeng Cai Shuchang Liu Dong Zheng Peng Jiang Kun Gai Bo An OffRL 65 18 0 06 Jun 2023
Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation Haochen Wang Yuchao Wang Yujun Shen Junsong Fan Yuxi Wang Zhaoxiang Zhang UQCV 80 10 0 04 Jun 2023
Balancing Logit Variation for Long-tailed Semantic Segmentation Yuchao Wang Jingjing Fei Haochen Wang Wei Li Tianpeng Bao Liwei Wu Rui Zhao Yujun Shen 91 26 0 03 Jun 2023
GANs Settle Scores! Siddarth Asokan Nishanth Shetty Aadithya Srikanth C. Seelamantula 83 0 0 02 Jun 2023
Data Interpolants -- That's What Discriminators in Higher-order Gradient-regularized GANs Are Siddarth Asokan C. Seelamantula 78 4 0 01 Jun 2023
Deep into The Domain Shift: Transfer Learning through Dependence Regularization Shumin Ma Zhiri Yuan Qi Wu Yiyan Huang Xixu Hu Cheuk Hang Leung DongDong Wang Zhixiang Huang OOD 46 6 0 31 May 2023
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows Alexandre Verine Benjamin Négrevergne Muni Sreenivas Pydi Y. Chevaleyre 77 10 0 30 May 2023
The Representation Jensen-Shannon Divergence J. Hoyos-Osorio Santiago Posso-Murillo L. S. Giraldo 176 8 0 25 May 2023
Unifying GANs and Score-Based Diffusion as Generative Particle Models Jean-Yves Franceschi Mike Gartrell Ludovic Dos Santos Thibaut Issenhuth Emmanuel de Bezenac Mickaël Chen A. Rakotomamonjy DiffM 117 23 0 25 May 2023
Minimizing $f$ -Divergences by Interpolating Velocity Fields Song Liu Jiahao Yu J. Simons Mingxuan Yi Mark Beaumont 115 5 0 24 May 2023
Discriminative calibration: Check Bayesian computation from simulations and flexible classifier Yuling Yao Justin Domke UQLM 95 2 0 24 May 2023
Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation Haochen Wang Yujun Shen Jingjing Fei Wei Li Liwei Wu Yuxi Wang Zhaoxiang Zhang OOD 101 7 0 23 May 2023
The Waymo Open Sim Agents Challenge Nico Montali John Lambert Paul Mougin Alex Kuefler Nick Rhinehart ... Tristan Emrich Zoey Yang Shimon Whiteson Brandyn White Drago Anguelov LLMAG 101 54 0 19 May 2023
Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks Evan Becker Parthe Pandit S. Rangan A. Fletcher GAN 61 1 0 14 May 2023
General Neural Gauge Fields Fangneng Zhan Lingjie Liu Adam Kortylewski Christian Theobalt AI4CE 100 12 0 05 May 2023
Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression Akash Srivastava Seung-Jun Han Kai Xu Benjamin Rhodes Michael U. Gutmann 108 11 0 01 May 2023
Recognizable Information Bottleneck Yilin Lyu Xin Liu M. Song Xinyue Wang Chaomin Shen T. Zeng L. Jing 117 5 0 28 Apr 2023
Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization Shashank Gupta Harrie Oosterhuis Maarten de Rijke 92 15 0 26 Apr 2023
ComGAN: Toward GANs Exploiting Multiple Samples Hae-Hwan Lee GAN 59 0 0 24 Apr 2023
Conditional Denoising Diffusion for Sequential Recommendation Yu Wang Zhiwei Liu Liangwei Yang Philip S. Yu DiffM 67 25 0 22 Apr 2023
3D GANs and Latent Space: A comprehensive survey S. Tata Subhankar Mishra 76 2 0 08 Apr 2023
Variational Distribution Learning for Unsupervised Text-to-Image Generation Minsoo Kang Doyup Lee Jiseob Kim Saehoon Kim Bohyung Han DRL OOD 67 4 0 28 Mar 2023
Reinforcement Learning with Exogenous States and Rewards George Trimponias Thomas G. Dietterich OffRL 65 2 0 22 Mar 2023
Elastic Interaction Energy-Based Generative Model: Approximation in Feature Space Chuqi Chen Yue Wu Yang Xiang 57 1 0 19 Mar 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Yihan Cao Siyu Li Yixin Liu Zhiling Yan Yutong Dai Philip S. Yu Lichao Sun 120 554 0 07 Mar 2023
A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial Networks Forough Fazeli Asl M. Zhang Lizhen Lin 81 1 0 05 Mar 2023
Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching Lantao Yu Tianhe Yu Jiaming Song Willie Neiswanger Stefano Ermon OffRL 93 18 0 05 Mar 2023
Nonlinear ill-posed problem in low-dose dental cone-beam computed tomography Hyoung Suk Park Chang Min Hyun J.K. Seo 40 2 0 03 Mar 2023
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning Archit Sharma Ahmed M. Ahmed Rehaan Ahmad Chelsea Finn SSL 137 18 0 02 Mar 2023
Measuring axiomatic soundness of counterfactual image models M. Monteiro Fabio De Sousa Ribeiro Nick Pawlowski Daniel Coelho De Castro Ben Glocker 117 29 0 02 Mar 2023
Bayesian Posterior Perturbation Analysis with Integral Probability Metrics A. Garbuno-Iñigo T. Helin Franca Hoffmann Bamdad Hosseini 123 10 0 02 Mar 2023
An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization Ravid Shwartz-Ziv Randall Balestriero Kenji Kawaguchi Tim G. J. Rudner Yann LeCun 70 23 0 01 Mar 2023
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning Firas Al-Hafez Davide Tateo Oleg Arenz Guoping Zhao Jan Peters 69 24 0 01 Mar 2023
$(α_D,α_G)$ -GANs: Addressing GAN Training Instabilities via Dual Objectives Monica Welfert Kyle Otstot Gowtham R. Kurri Lalitha Sankar 66 5 0 28 Feb 2023
Density Ratio Estimation and Neyman Pearson Classification with Missing Data Josh Givens Song Liu Henry W. J. Reeve 55 2 0 21 Feb 2023