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
Pseudo Contrastive Learning for Graph-based Semi-supervised Learning Weigang Lu Ziyu Guan Wei Zhao Yaming Yang Yuanhai Lv Lining Xing Baosheng Yu Dacheng Tao 118 7 0 19 Feb 2023
Redes Generativas Adversarias (GAN) Fundamentos Teóricos y Aplicaciones J. D. L. Torre GAN 51 1 0 18 Feb 2023
Aligning Language Models with Preferences through f-divergence Minimization Dongyoung Go Tomasz Korbak Germán Kruszewski Jos Rozen Nahyeon Ryu Marc Dymetman 109 76 0 16 Feb 2023
Deep Orthogonal Hypersphere Compression for Anomaly Detection Yunhe Zhang Yan Sun Jinyu Cai Jicong Fan 94 10 0 13 Feb 2023
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples Marco Jiralerspong A. Bose I. Gemp Chongli Qin Yoram Bachrach Gauthier Gidel EGVM 105 8 0 09 Feb 2023
Deep Graph-Level Clustering Using Pseudo-Label-Guided Mutual Information Maximization Network Jinyu Cai Yi Han Wenzhong Guo Jicong Fan 89 9 0 05 Feb 2023
Sample Complexity of Probability Divergences under Group Symmetry Ziyu Chen Markos A. Katsoulakis Luc Rey-Bellet Weixia Zhu 131 10 0 03 Feb 2023
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks Bowen Tian Qinliang Su Jianxing Yu 59 2 0 03 Feb 2023
MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows Mingxuan Yi Zhanxing Zhu Song Liu GAN 97 14 0 02 Feb 2023
Training Normalizing Flows with the Precision-Recall Divergence Alexandre Verine Benjamin Négrevergne Muni Sreenivas Pydi Y. Chevaleyre 41 1 0 01 Feb 2023
Internally Rewarded Reinforcement Learning Mengdi Li Xufeng Zhao Jae Hee Lee C. Weber S. Wermter 64 11 0 01 Feb 2023
Generative Adversarial Symmetry Discovery Jianke Yang Robin Walters Nima Dehmamy Rose Yu GAN 111 29 0 01 Feb 2023
Free Lunch for Domain Adversarial Training: Environment Label Smoothing Yifan Zhang Xue Wang Jian Liang Zhang Zhang Liangsheng Wang Rong Jin Tien-Ping Tan 143 43 0 01 Feb 2023
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets Hussein Hazimeh Natalia Ponomareva GAN 61 2 0 31 Jan 2023
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer Yuhta Takida Masaaki Imaizumi Takashi Shibuya Chieh-Hsin Lai Toshimitsu Uesaka Naoki Murata Yuki Mitsufuji GAN 111 13 0 30 Jan 2023
Generalized Munchausen Reinforcement Learning using Tsallis KL Divergence Lingwei Zhu Zheng Chen Takamitsu Matsubara Martha White 94 1 0 27 Jan 2023
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models Matthew Muckley Alaaeldin El-Nouby Karen Ullrich Hervé Jégou Jakob Verbeek 132 55 0 26 Jan 2023
Optimizing the Noise in Self-Supervised Learning: from Importance Sampling to Noise-Contrastive Estimation O. Chehab Alexandre Gramfort Aapo Hyvarinen SSL 88 3 0 23 Jan 2023
DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies Oscar Skean J. Hoyos-Osorio A. Brockmeier L. S. Giraldo 89 13 0 19 Jan 2023
Generative Adversarial Networks to infer velocity components in rotating turbulent flows Tianyi Li M. Buzzicotti Luca Biferale F. Bonaccorso 45 11 0 18 Jan 2023
Effective Dynamics of Generative Adversarial Networks S. Durr Youssef Mroueh Yuhai Tu Shenshen Wang GAN 54 5 0 08 Dec 2022
UQ-ARMED: Uncertainty quantification of adversarially-regularized mixed effects deep learning for clustered non-iid data A. Treacher K. Nguyen Dylan A. Owens D. Heitjan A. Montillo FedML 26 0 0 29 Nov 2022
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models Dongjun Kim Yeongmin Kim Se Jung Kwon Wanmo Kang Il-Chul Moon DiffM 120 89 0 28 Nov 2022
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data Tiantian Fang Ruoyu Sun Alex Schwing GAN 58 17 0 27 Nov 2022
A Two-Stage Deep Representation Learning-Based Speech Enhancement Method Using Variational Autoencoder and Adversarial Training Yang Xiang Jesper Lisby Højvang M. Rasmussen M. G. Christensen DRL 76 6 0 16 Nov 2022
Generalized Balancing Weights via Deep Neural Networks Yoshiaki Kitazawa BDL CML 79 1 0 14 Nov 2022
Build generally reusable agent-environment interaction models Jun Jin Hongming Zhang Jun Luo 51 0 0 13 Nov 2022
Lipschitz-regularized gradient flows and generative particle algorithms for high-dimensional scarce data Hyemin Gu Panagiota Birmpa Yannis Pantazis Luc Rey-Bellet Markos A. Katsoulakis 103 2 0 31 Oct 2022
Mutual Information Regularized Offline Reinforcement Learning Xiao Ma Bingyi Kang Zhongwen Xu Min Lin Shuicheng Yan OffRL 98 8 0 14 Oct 2022
FreGAN: Exploiting Frequency Components for Training GANs under Limited Data Mengping Yang Zhe Wang Ziqiu Chi Yanbing Zhang 71 33 0 11 Oct 2022
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions Daniel D. Johnson Ayoub El Hanchi Chris J. Maddison SSL 98 24 0 04 Oct 2022
Revealing Unobservables by Deep Learning: Generative Element Extraction Networks (GEEN) Yingyao Hu Yang Liu Jiaxiong Yao DRL 29 1 0 04 Oct 2022
Understanding Hindsight Goal Relabeling from a Divergence Minimization Perspective Lunjun Zhang Bradly C. Stadie 54 1 0 26 Sep 2022
Variational Representations of Annealing Paths: Bregman Information under Monotonic Embedding Rob Brekelmans Frank Nielsen 51 1 0 15 Sep 2022
Semi-supervised Batch Learning From Logged Data Gholamali Aminian Armin Behnamnia R. Vega Laura Toni Chengchun Shi Hamid R. Rabiee Omar Rivasplata Miguel R. D. Rodrigues OffRL 75 1 0 15 Sep 2022
Asymptotic Statistical Analysis of $f$ -divergence GAN Xinwei Shen Kani Chen Tong Zhang 62 2 0 14 Sep 2022
GRASP: A Goodness-of-Fit Test for Classification Learning Adel Javanmard M. Mehrabi 85 0 0 05 Sep 2022
Dynamics of Fourier Modes in Torus Generative Adversarial Networks Ángel González-Prieto Alberto Mozo Edgar Talavera Sandra Gómez Canaval GAN 63 7 0 05 Sep 2022
Geometry of EM and related iterative algorithms H. Hino S. Akaho Noboru Murata 73 5 0 03 Sep 2022
Models and Benchmarks for Representation Learning of Partially Observed Subgraphs Dongkwan Kim Jiho Jin Jaimeen Ahn Alice Oh 130 3 0 01 Sep 2022
Domain-Specific Risk Minimization for Out-of-Distribution Generalization Yi-Fan Zhang Jindong Wang Jian Liang Zhang Zhang Baosheng Yu Liangdao Wang Dacheng Tao Xingxu Xie OOD 135 18 0 18 Aug 2022
Causal Imitation Learning with Unobserved Confounders Junzhe Zhang D. Kumor Elias Bareinboim CML 86 76 0 12 Aug 2022
A Survey of Learning on Small Data: Generalization, Optimization, and Challenge Xiaofeng Cao Weixin Bu Sheng-Jun Huang Minling Zhang Ivor W. Tsang Yew-Soon Ong James T. Kwok 99 1 0 29 Jul 2022
Information Processing Equalities and the Information-Risk Bridge Robert C. Williamson Zac Cranko 72 5 0 25 Jul 2022
Deep Sufficient Representation Learning via Mutual Information Siming Zheng Yuanyuan Lin Jian Huang SSL DRL 79 0 0 21 Jul 2022
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications Deniz Gunduz Zhijin Qin Iñaki Estella Aguerri Harpreet S. Dhillon Zhaohui Yang Aylin Yener Kai‐Kit Wong C. Chae 108 461 0 19 Jul 2022
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility Behrooz Razeghi Flavio du Pin Calmon Deniz Gunduz Svyatoslav Voloshynovskiy 58 16 0 11 Jul 2022
Neural Stein critics with staged $L^2$ -regularization Matthew Repasky Xiuyuan Cheng Yao Xie 61 3 0 07 Jul 2022
Approximate Data Deletion in Generative Models Zhifeng Kong Scott Alfeld MU 63 4 0 29 Jun 2022
Data Redaction from Pre-trained GANs Zhifeng Kong Kamalika Chaudhuri 152 16 0 29 Jun 2022