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
Deep MMD Gradient Flow without adversarial training Alexandre Galashov Valentin De Bortoli Arthur Gretton DiffM 79 9 0 10 May 2024
Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning Yanhui Guo Shaoyuan Xu Jinmiao Fu Jia-Wei Liu Chaosheng Dong Bryan Wang VLM CLL 80 8 0 22 Apr 2024
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification Qi Han Zhibo Tian Chengwei Xia Kun Zhan SSL 95 5 0 17 Apr 2024
Multi-objective evolutionary GAN for tabular data synthesis Nian Ran B. I. Nasution C. Little Richard Allmendinger Mark Elliot 77 4 0 15 Apr 2024
Adversarial Imitation Learning via Boosting Jonathan D. Chang Dhruv Sreenivas Yingbing Huang Kianté Brantley Wen Sun 53 3 0 12 Apr 2024
Deep Generative Sampling in the Dual Divergence Space: A Data-efficient & Interpretative Approach for Generative AI Sahil Garg Anderson Schneider Anant Raj Kashif Rasul Yuriy Nevmyvaka S. Gopal Amit Dhurandhar Guillermo Cecchi Irina Rish 73 0 0 10 Apr 2024
CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization Yao Ni Piotr Koniusz AI4CE GAN 109 2 0 31 Mar 2024
A Wasserstein perspective of Vanilla GANs Lea Kunkel Mathias Trabs 68 8 0 22 Mar 2024
Adaptive Critical Subgraph Mining for Cognitive Impairment Conversion Prediction with T1-MRI-based Brain Network Yilin Leng Wenju Cui Chen Bai Xi Jiang Shuangqing Chen Jian Zheng 76 0 0 20 Mar 2024
What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception Wanfang Su Lixing Chen Yang Bai Xi Lin Gaolei Li Zhe Qu Pan Zhou 78 7 0 15 Mar 2024
What makes an image realistic? Lucas Theis 114 4 0 07 Mar 2024
CoRMF: Criticality-Ordered Recurrent Mean Field Ising Solver Zhenyu Pan Ammar Gilani En-Jui Kuo Zhuo Liu LRM 79 4 0 05 Mar 2024
Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks Sayedeh Leila Noorbakhsh Binghui Zhang Yuan Hong Binghui Wang AAML 109 10 0 04 Mar 2024
Training Unbiased Diffusion Models From Biased Dataset Yeongmin Kim Byeonghu Na Minsang Park Joonho Jang Dongjun Kim Wanmo Kang Il-Chul Moon 78 24 0 02 Mar 2024
Sinkhorn Distance Minimization for Knowledge Distillation Xiao Cui Yulei Qin Yuting Gao Enwei Zhang Zihan Xu Tong Wu Ke Li Xing Sun Wen-gang Zhou Houqiang Li 84 8 0 27 Feb 2024
Training Implicit Generative Models via an Invariant Statistical Loss José Manuel de Frutos Pablo M. Olmos M. Vázquez Joaquín Míguez SyDa GAN 64 2 0 26 Feb 2024
Generative AI in Vision: A Survey on Models, Metrics and Applications Gaurav Raut Apoorv Singh VLM MedIm 112 7 0 26 Feb 2024
PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning Gyeongman Kim Doohyuk Jang Eunho Yang VLM 110 13 0 20 Feb 2024
Measuring and Reducing LLM Hallucination without Gold-Standard Answers Jiaheng Wei Yuanshun Yao Jean-François Ton Hongyi Guo Andrew Estornell Yang Liu HILM 137 26 0 16 Feb 2024
Generative AI and Process Systems Engineering: The Next Frontier Benjamin Decardi-Nelson Abdulelah S. Alshehri Akshay Ajagekar Fengqi You AI4CE LLMAG 80 29 0 15 Feb 2024
$f$ -MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning Yiwei Lu Guojun Zhang Sun Sun Hongyu Guo Yaoliang Yu VLM 50 6 0 15 Feb 2024
Expressive Acoustic Guitar Sound Synthesis with an Instrument-Specific Input Representation and Diffusion Outpainting Hounsu Kim Soonbeom Choi Juhan Nam 64 3 0 24 Jan 2024
$f$ -Divergence Based Classification: Beyond the Use of Cross-Entropy Nicola Novello Andrea M. Tonello 83 8 0 02 Jan 2024
FAST: Feature Aware Similarity Thresholding for Weak Unlearning in Black-Box Generative Models Subhodip Panda AP Prathosh MU AAML 107 2 0 22 Dec 2023
Unlocking Pre-trained Image Backbones for Semantic Image Synthesis Tariq Berrada Jakob Verbeek Camille Couprie Alahari Karteek 93 9 0 20 Dec 2023
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments Jinyi Liu Zhi Wang Yan Zheng Jianye Hao Chenjia Bai Junjie Ye Zhen Wang Haiyin Piao Yang Sun 124 8 0 19 Dec 2023
DiffAIL: Diffusion Adversarial Imitation Learning Bingzheng Wang Guoqiang Wu Teng Pang Yan Zhang Yilong Yin 92 13 0 11 Dec 2023
Adversarial Learning for Feature Shift Detection and Correction Míriam Barrabés D. M. Montserrat Margarita Geleta Xavier Giró-i-Nieto A. Ioannidis OOD 75 4 0 07 Dec 2023
Generator Born from Classifier Runpeng Yu Xinchao Wang 71 4 0 05 Dec 2023
Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training Takashi Furuya Satoshi Okuda Kazuma Suetake Yoshihide Sawada 126 0 0 02 Dec 2023
On the Adversarial Robustness of Graph Contrastive Learning Methods Filippo Guerranti Zinuo Yi Anna Starovoit Rafiq Kamel Simon Geisler Stephan Günnemann AAML 134 2 0 29 Nov 2023
Matching aggregate posteriors in the variational autoencoder Surojit Saha Sarang Joshi Ross T. Whitaker DRL 67 4 0 13 Nov 2023
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes Jinwon Sohn Qifan Song Guang Lin FaML 91 1 0 10 Nov 2023
Optimal Budgeted Rejection Sampling for Generative Models Alexandre Verine Muni Sreenivas Pydi Benjamin Négrevergne Y. Chevaleyre 96 3 0 01 Nov 2023
Addressing GAN Training Instabilities via Tunable Classification Losses Monica Welfert Gowtham R. Kurri Kyle Otstot Lalitha Sankar 69 13 0 27 Oct 2023
Convergence of flow-based generative models via proximal gradient descent in Wasserstein space Xiuyuan Cheng Jianfeng Lu Yixin Tan Yao Xie 227 19 0 26 Oct 2023
A Risk Management Perspective on Statistical Estimation and Generalized Variational Inference Aurya Javeed D. Kouri T. Surowiec 80 2 0 26 Oct 2023
On the Properties and Estimation of Pointwise Mutual Information Profiles Paweł Czyż Frederic Grabowski Julia E. Vogt N. Beerenwinkel Alexander Marx 97 3 0 16 Oct 2023
MINDE: Mutual Information Neural Diffusion Estimation Giulio Franzese Mustapha Bounoua Pietro Michiardi DiffM 80 8 0 13 Oct 2023
Stabilizing Subject Transfer in EEG Classification with Divergence Estimation Niklas Smedemark-Margulies Ye Wang T. Koike-Akino Jing Liu K. Parsons Yunus Bicer Deniz Erdogmus 64 0 0 12 Oct 2023
Imitation Learning from Purified Demonstration Yunke Wang Minjing Dong Bo Du Chang Xu 70 1 0 11 Oct 2023
On variational inference and maximum likelihood estimation with the λ-exponential family Thomas Guilmeau Émilie Chouzenoux Victor Elvira 57 2 0 06 Oct 2023
Hoeffding's Inequality for Markov Chains under Generalized Concentrability Condition Hao Chen Abhishek Gupta Yin Sun Ness B. Shroff 64 2 0 04 Oct 2023
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations C. Ekbote Ajinkya Deshpande Arun Shankar Iyer Ramakrishna Bairi Sundararajan Sellamanickam SSL 77 5 0 03 Oct 2023
Simulation-based Inference with the Generalized Kullback-Leibler Divergence Benjamin Kurt Miller Marco Federici Christoph Weniger Patrick Forré 113 5 0 03 Oct 2023
Subsurface Characterization using Ensemble-based Approaches with Deep Generative Models Jichao Bao H. Yoon Jonghyun Lee 61 0 0 02 Oct 2023
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion Dongjun Kim Chieh-Hsin Lai Wei-Hsiang Liao Naoki Murata Yuhta Takida Toshimitsu Uesaka Yutong He Yuki Mitsufuji Stefano Ermon DiffM 154 197 0 01 Oct 2023
A Unified View of Differentially Private Deep Generative Modeling Dingfan Chen Raouf Kerkouche Mario Fritz SyDa 90 5 0 27 Sep 2023
Genetic InfoMax: Exploring Mutual Information Maximization in High-Dimensional Imaging Genetics Studies Yaochen Xie Z. Xie Sheikh Muhammad Saiful Islam D. Zhi Shuiwang Ji MedIm 69 0 0 26 Sep 2023
BigVSAN: Enhancing GAN-based Neural Vocoders with Slicing Adversarial Network Takashi Shibuya Yuhta Takida Yuki Mitsufuji 71 11 0 06 Sep 2023