InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

12 June 2016

Pieter Abbeel

Papers citing "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

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Title
OWT: A Foundational Organ-Wise Tokenization Framework for Medical Imaging Sifan Song Siyeop Yoon Pengfei Jin Sekeun Kim Matthew Tivnan ... Zhiliang Lyu Dufan Wu Ning Guo Xiang Li Quanzheng Li OOD ViT 64 0 0 08 May 2025
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models Jan Kapar Niklas Koenen Martin Jullum 64 0 0 29 Apr 2025
Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning Shunxin Guo Jiaqi Lv Xin Geng 49 0 0 27 Apr 2025
Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time Series for Responsible Gameplay Hussain Jagirdar Rukma Talwadker Aditya Pareek Pulkit Agrawal Tridib Mukherjee AI4TS 36 1 0 03 Apr 2025
Disentangled Source-Free Personalization for Facial Expression Recognition with Neutral Target Data Masoumeh Sharafi Emma Ollivier Muhammad Osama Zeeshan Soufiane Belharbi M. Pedersoli A. L. Koerich Simon L Bacon EricGranger 71 1 0 26 Mar 2025
Generative Data Imputation for Sparse Learner Performance Data Using Generative Adversarial Imputation Networks Liang Zhang Jionghao Lin John Sabatini Diego Zapata-Rivera Carol Forsyth Yang Jiang John Hollander Xiangen Hu Arthur C. Graesser 49 0 0 23 Mar 2025
Re-Imagining Multimodal Instruction Tuning: A Representation View Yiyang Liu James Liang Ruixiang Tang Yugyung Lee Majid Rabbani ... Raghuveer M. Rao Lifu Huang Dongfang Liu Qifan Wang Cheng Han 129 0 0 02 Mar 2025
Gradient-Guided Annealing for Domain Generalization Aristotelis Ballas Christos Diou OOD 165 0 0 27 Feb 2025
Model Adaptation: Unsupervised Domain Adaptation without Source Data Rui Li Qianfen Jiao Wenming Cao Hau-San Wong Si Wu OOD 115 480 0 26 Feb 2025
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead Won-Jun Jang Hyeon-Seo Park Si-Hyeon Lee FedML 166 0 0 10 Feb 2025
Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models Konstantin Donhauser Kristina Ulicna Gemma Elyse Moran Aditya Ravuri Kian Kenyon-Dean Cian Eastwood Jason Hartford 76 0 0 20 Dec 2024
Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rongkun Xue Jinouwen Zhang Yazhe Niu Dazhong Shen Bingqi Ma Yu Liu Jing Yang 75 0 0 29 Nov 2024
Counterfactual Generative Modeling with Variational Causal Inference Yulun Wu Louie McConnell Claudia Iriondo CML BDL 24 0 0 16 Oct 2024
Unsupervised Representation Learning from Sparse Transformation Analysis Yue Song Thomas Anderson Keller Yisong Yue Pietro Perona Max Welling DRL 29 0 0 07 Oct 2024
Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation Shiming Ge Bochao Liu Pengju Wang Yong Li Dan Zeng FedML 39 9 0 04 Sep 2024
Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models Baao Xie Qiuyu Chen Yunnan Wang Zequn Zhang Xin Jin Wenjun Zeng OffRL 36 2 0 26 Jul 2024
Exploiting the Layered Intrinsic Dimensionality of Deep Models for Practical Adversarial Training Enes Altinisik Safa Messaoud H. Sencar Hassan Sajjad Sanjay Chawla AAML 45 0 0 27 May 2024
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization M. R. Uddin Min Xu 51 0 0 27 May 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim Kwanghyeon Lee Minsang Park Byeonghu Na Il-Chul Moon DiffM 44 2 0 27 May 2024
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models Samuel Marks Can Rager Eric J. Michaud Yonatan Belinkov David Bau Aaron Mueller 46 111 0 28 Mar 2024
Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions S. A. Baumann Felix Krause Michael Neumayr Nick Stracke Vincent Tao Hu Bjorn Ommer Björn Ommer DiffM LM&Ro 70 11 0 25 Mar 2024
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling Xudong Sun Nutan Chen Alexej Gossmann Yu Xing Carla Feistner ... Felix Drost Daniele Scarcella Lisa Beer Carsten Marr Carsten Marr 59 1 0 20 Mar 2024
Disentangling representations of retinal images with generative models Sarah Muller Lisa M. Koch Hendrik P. A. Lensch Philipp Berens MedIm 32 3 0 29 Feb 2024
Learning to See Through Dazzle Xiaopeng Peng Erin F. Fleet A. Watnik Grover A. Swartzlander GAN AAML 27 4 0 24 Feb 2024
Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks Yijia Weng Kaichun Mo Ruoxi Shi Yanchao Yang Leonidas J. Guibas 26 3 0 25 Dec 2023
Text Attribute Control via Closed-Loop Disentanglement Lei Sha Thomas Lukasiewicz DRL 30 2 0 01 Dec 2023
A Chronological Survey of Theoretical Advancements in Generative Adversarial Networks for Computer Vision Hrishikesh Sharma AI4CE EGVM 13 1 0 02 Nov 2023
Improving SCGAN's Similarity Constraint and Learning a Better Disentangled Representation Iman Yazdanpanah Ali Eslamian DRL GAN 6 0 0 18 Oct 2023
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning Geri Skenderi Luigi Capogrosso Andrea Toaiari Matteo Denitto Franco Fummi Simone Melzi Marco Cristani OOD 28 0 0 13 Oct 2023
Multimodal Variational Auto-encoder based Audio-Visual Segmentation Yuxin Mao Jing Zhang Mochu Xiang Yiran Zhong Yuchao Dai 35 34 0 12 Oct 2023
AI-based association analysis for medical imaging using latent-space geometric confounder correction Xianjing Liu Bo-wen Li Meike W. Vernooij E. Wolvius Gennady V. Roshchupkin Esther E. Bron MedIm 26 0 0 03 Oct 2023
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning Hiroki Nakamura Masashi Okada T. Taniguchi SSL NAI 25 0 0 08 Sep 2023
Disentanglement Learning via Topology Nikita Balabin Daria Voronkova I. Trofimov Evgeny Burnaev S. Barannikov DRL 58 2 0 24 Aug 2023
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models Zhizhong Wang Lei Zhao Wei Xing DiffM 27 120 0 15 Aug 2023
A generative model for surrogates of spatial-temporal wildfire nowcasting Sibo Cheng Yike Guo Rossella Arcucci SyDa AI4CE 30 7 0 05 Aug 2023
Disentangling Multi-view Representations Beyond Inductive Bias Guanzhou Ke Yang Yu Guoqing Chao Xiaoli Wang Chenyang Xu Shengfeng He 23 8 0 03 Aug 2023
Moreau-Yoshida Variational Transport: A General Framework For Solving Regularized Distributional Optimization Problems Dai Hai Nguyen Tetsuya Sakurai 24 1 0 31 Jul 2023
Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis Jiajie Fan L. Vuaille Hongya Wang Thomas Bäck AI4CE 22 5 0 19 Jul 2023
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity H. Aliee Ferdinand Kapl Soroor Hediyeh-zadeh Fabian J. Theis CML 23 6 0 02 Jul 2023
Manga Rescreening with Interpretable Screentone Representation M. Xie Chengze Li T. Wong 18 0 0 07 Jun 2023
StyleHumanCLIP: Text-guided Garment Manipulation for StyleGAN-Human Takato Yoshikawa Yuki Endo Yoshihiro Kanamori 44 1 0 26 May 2023
Variational Bayesian Framework for Advanced Image Generation with Domain-Related Variables Yuxiao Li Santiago Mazuelas Yuan-Chung Shen BDL 25 0 0 23 May 2023
'Tax-free' 3DMM Conditional Face Generation Yiwen Huang Zhiqiu Yu Xinjie Yi Yue Wang James Tompkin CVBM 20 0 0 22 May 2023
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models Guillermo Ortiz-Jiménez Alessandro Favero P. Frossard MoMe 42 106 0 22 May 2023
Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment Peng Jin Hao Li Ze-Long Cheng Jinfa Huang Zhennan Wang Li-ming Yuan Chang-rui Liu Jie Chen 28 31 0 20 May 2023
An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions Xi Yang Ge Gao Min Chi OffRL 27 2 0 15 May 2023
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training Siddarth Asokan C. Seelamantula GAN 69 1 0 12 May 2023
StyleGenes: Discrete and Efficient Latent Distributions for GANs Evangelos Ntavelis Mohamad Shahbazi I. Kastanis Radu Timofte Martin Danelljan Luc Van Gool 38 1 0 30 Apr 2023
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders Nimrod Berman Ilana D Naiman Omri Azencot CoGe 22 21 0 30 Mar 2023
Your Diffusion Model is Secretly a Zero-Shot Classifier Alexander C. Li Mihir Prabhudesai Shivam Duggal Ellis L Brown Deepak Pathak DiffM VLM 33 224 0 28 Mar 2023