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
Geometry Contrastive Learning on Heterogeneous Graphs Shichao Zhu Chuan Zhou Anfeng Cheng Shirui Pan Shuaiqiang Wang D. Yin Bin Wang SSL 67 1 0 25 Jun 2022
Generative Pretraining for Black-Box Optimization S. Krishnamoorthy Satvik Mashkaria Aditya Grover OffRL AI4CE 149 31 0 22 Jun 2022
StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis Minguk Kang Joonghyuk Shin Jaesik Park EGVM 68 70 0 19 Jun 2022
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions Sheng Zhou Hongjia Xu Zhuonan Zheng Jiawei Chen Zhao Li Jiajun Bu Jia Wu Xin Eric Wang Wenwu Zhu Martin Ester 103 103 0 15 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 117 164 0 15 Jun 2022
Adversarial Counterfactual Environment Model Learning Xiong-Hui Chen Yang Yu Zhenghong Zhu Zhihua Yu Zhen-Yu Chen ... Yinan Wu Hongqiu Wu Rongjun Qin Rui Ding Fangsheng Huang CML OffRL 91 12 0 10 Jun 2022
Evaluating Aleatoric Uncertainty via Conditional Generative Models Ziyi Huang Henry Lam Haofeng Zhang PER UD 61 5 0 09 Jun 2022
Reconsidering Learning Objectives in Unbiased Recommendation with Unobserved Confounders Teng Xiao Zhengyu Chen Suhang Wang OOD CML OffRL 78 0 0 07 Jun 2022
Diffusion-GAN: Training GANs with Diffusion Zhendong Wang Huangjie Zheng Pengcheng He Weizhu Chen Mingyuan Zhou DiffM 92 235 0 05 Jun 2022
On the Privacy Properties of GAN-generated Samples Zinan Lin Vyas Sekar Giulia Fanti PICV 85 29 0 03 Jun 2022
Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization Lorenzo Pacchiardi Ritabrata Dutta TPM BDL UQCV GAN 279 18 0 31 May 2022
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training Liang Hou Qi Cao Yige Yuan Songtao Zhao Chongyang Ma Siyuan Pan Pengfei Wan Xiaoshuang Li Huawei Shen Xueqi Cheng 118 7 0 31 May 2022
Time-series Transformer Generative Adversarial Networks Padmanaba Srinivasan William J. Knottenbelt AI4TS 75 14 0 23 May 2022
Towards Explanation for Unsupervised Graph-Level Representation Learning Qinghua Zheng Jihong Wang Minnan Luo Yaoliang Yu Jundong Li L. Yao Xiao Chang 82 1 0 20 May 2022
$α$ -GAN: Convergence and Estimation Guarantees Gowtham R. Kurri Monica Welfert Tyler Sypherd Lalitha Sankar GAN 112 10 0 12 May 2022
D3T-GAN: Data-Dependent Domain Transfer GANs for Few-shot Image Generation Xintian Wu Huanyu Wang Yiming Wu Xi Li 65 3 0 12 May 2022
A Unified f-divergence Framework Generalizing VAE and GAN Jaime Roquero Gimenez James Zou 45 2 0 11 May 2022
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning Archit Sharma Rehaan Ahmad Chelsea Finn OOD OffRL 76 21 0 11 May 2022
Synthetic Data -- what, why and how? James Jordon Lukasz Szpruch F. Houssiau M. Bottarelli Giovanni Cherubin Carsten Maple Samuel N. Cohen Adrian Weller 96 120 0 06 May 2022
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters Xue Bin Peng Yunrong Guo L. Halper Sergey Levine Sanja Fidler 65 15 0 04 May 2022
Statistical applications of contrastive learning Michael U. Gutmann Steven Kleinegesse Benjamin Rhodes 70 8 0 29 Apr 2022
Unsupervised Reinforcement Learning for Transferable Manipulation Skill Discovery Daesol Cho Jigang Kim H. J. Kim OffRL SSL 106 17 0 29 Apr 2022
Policy Gradient Stock GAN for Realistic Discrete Order Data Generation in Financial Markets Masanori Hirano Hiroki Sakaji Kiyoshi Izumi GAN 61 6 0 28 Apr 2022
Self-Supervised Information Bottleneck for Deep Multi-View Subspace Clustering Shiye Wang Changsheng Li Yanming Li Ye Yuan Guoren Wang SSL 67 50 0 26 Apr 2022
Adversarial Estimators Jonas Metzger AAML 56 2 0 22 Apr 2022
DR-GAN: Distribution Regularization for Text-to-Image Generation Hongchen Tan Xiuping Liu Baocai Yin Xin Li GAN 85 40 0 17 Apr 2022
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models Gabriel Loaiza-Ganem Brendan Leigh Ross Jesse C. Cresswell Anthony L. Caterini GAN DRL 113 31 0 14 Apr 2022
Augmentation-Free Graph Contrastive Learning with Performance Guarantee Haonan Wang Jieyu Zhang Qi Zhu Wei Huang 92 31 0 11 Apr 2022
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review E. Olaniyi Dong Chen Yuzhen Lu Ya-Yu Huang 79 37 0 10 Apr 2022
Structure-aware Protein Self-supervised Learning Can Chen Jingbo Zhou Fan Wang Xue Liu Dejing Dou SSL 99 69 0 06 Apr 2022
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition Randy Ardywibowo Shahin Boluki Zhangyang Wang Bobak J. Mortazavi Shuai Huang Xiaoning Qian 43 2 0 31 Mar 2022
Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions Alejandro Escontrela Xue Bin Peng Wenhao Yu Tingnan Zhang Atil Iscen Ken Goldberg Pieter Abbeel 89 120 0 28 Mar 2022
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design Yuanqi Du Tianfan Fu Jimeng Sun Shengchao Liu AI4CE 187 91 0 28 Mar 2022
A Perspective on Neural Capacity Estimation: Viability and Reliability Farhad Mirkarimi Stefano Rini Nariman Farsad 121 1 0 22 Mar 2022
A survey on GANs for computer vision: Recent research, analysis and taxonomy Guillermo Iglesias Edgar Talavera Alberto Díaz-Álvarez EGVM AI4TS 114 63 0 21 Mar 2022
RareGAN: Generating Samples for Rare Classes Zinan Lin Hao Liang Giulia Fanti Vyas Sekar GAN 50 11 0 20 Mar 2022
Adversarial Support Alignment Shangyuan Tong T. Garipov Yang Zhang Shiyu Chang Tommi Jaakkola 65 10 0 16 Mar 2022
Neural Topic Modeling with Deep Mutual Information Estimation Kang Xu Xiaona Lu Yuan-Fang Li Tongtong Wu Guilin Qi Ning Ye D. Wang Zheng-Wei Zhou 125 11 0 12 Mar 2022
$Distributionally Robust Bayesian Optimization with $\varphi$-divergences$ Distributionally Robust Bayesian Optimization with $\varphi$ -divergences Hisham Husain Vu-Linh Nguyen Anton Van Den Hengel 98 13 0 04 Mar 2022
Compressed Predictive Information Coding Rui Meng Tianyi Luo K. Bouchard 59 2 0 03 Mar 2022
Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders Huangjie Zheng Pengcheng He Weizhu Chen Mingyuan Zhou DiffM 94 46 0 19 Feb 2022
Task-Agnostic Graph Explanations Yaochen Xie S. Katariya Xianfeng Tang E-Wen Huang Nikhil S. Rao Karthik Subbian Shuiwang Ji 87 26 0 16 Feb 2022
An Introduction to Neural Data Compression Yibo Yang Stephan Mandt Lucas Theis 149 125 0 14 Feb 2022
Meta-learning with GANs for anomaly detection, with deployment in high-speed rail inspection system Haoyang Cao Xin Guo Guan Wang AI4TS 64 7 0 11 Feb 2022
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features Zhaowei Zhu Jialu Wang Yang Liu NoLa 99 37 0 02 Feb 2022
Structure-preserving GANs Jeremiah Birrell Markos A. Katsoulakis Luc Rey-Bellet Wei-wei Zhu GAN 111 18 0 02 Feb 2022
An Optimal Transport Perspective on Unpaired Image Super-Resolution Milena Gazdieva Litu Rout Alexander Korotin A. Kravchenko Alexander N. Filippov Evgeny Burnaev Evgeny Burnaev OT 118 12 0 02 Feb 2022
Unified Perspective on Probability Divergence via Maximum Likelihood Density Ratio Estimation: Bridging KL-Divergence and Integral Probability Metrics Masahiro Kato Masaaki Imaizumi Kentaro Minami 77 0 0 31 Jan 2022
Co-Regularized Adversarial Learning for Multi-Domain Text Classification Yuan Wu Diana Inkpen Ahmed El-Roby OOD 39 6 0 30 Jan 2022
Neural Optimal Transport Alexander Korotin Daniil Selikhanovych Evgeny Burnaev OT 238 99 0 28 Jan 2022