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Adversarially Learned Inference

2 June 2016

Aaron Courville

Papers citing "Adversarially Learned Inference"

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Title
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective Steven Cheng-Xian Li Benjamin M. Marlin AI4TS 55 56 0 17 Aug 2020
Improving Stability of LS-GANs for Audio and Speech Signals Mohammad Esmaeilpour Raymel Alfonso Sallo Olivier St-Georges P. Cardinal Alessandro Lameiras Koerich 23 0 0 12 Aug 2020
Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization Zhiwen Zuo Lei Zhao Zhizhong Wang Haibo Chen Ailin Li Qijiang Xu Wei Xing Dongming Lu GAN 91 0 0 08 Aug 2020
IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces Marco Maggipinto M. Terzi Gian Antonio Susto 30 1 0 03 Aug 2020
Geometrically Enriched Latent Spaces Georgios Arvanitidis Søren Hauberg Bernhard Schölkopf DRL 77 55 0 02 Aug 2020
flexgrid2vec: Learning Efficient Visual Representations Vectors Ali Hamdi D. Kim Flora D. Salim SSL GNN 90 7 0 30 Jul 2020
TrajGAIL: Generating Urban Vehicle Trajectories using Generative Adversarial Imitation Learning Seongjin Choi Jiwon Kim H. Yeo GAN 95 131 0 28 Jul 2020
$Generative networks as inverse problems with fractional wavelet scattering networks$ Generative networks as inverse problems with fractional wavelet scattering networks Jiasong Wu Jing Zhang Fuzhi Wu Youyong Kong Guanyu Yang L. Senhadji H. Shu GAN 47 1 0 28 Jul 2020
Improving Generative Adversarial Networks with Local Coordinate Coding Jingyun Liang Yong Guo Qingyao Wu Chunhua Shen Junzhou Huang Mingkui Tan GAN 126 12 0 28 Jul 2020
Monocular Real-Time Volumetric Performance Capture Ruilong Li Yuliang Xiu Shunsuke Saito Zeng Huang Kyle Olszewski Hao Li 3DH 159 93 0 28 Jul 2020
Representation Learning with Video Deep InfoMax R. Devon Hjelm Philip Bachman SSL MDE 107 28 0 27 Jul 2020
Non-parallel Emotion Conversion using a Deep-Generative Hybrid Network and an Adversarial Pair Discriminator Ravi Shankar Jacob Sager A. Venkataraman GAN 111 20 0 25 Jul 2020
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective Ruixiang Zhang Masanori Koyama Katsuhiko Ishiguro CML 58 6 0 21 Jul 2020
Learning latent representations across multiple data domains using Lifelong VAEGAN Fei Ye A. Bors SyDa CLL 68 67 0 20 Jul 2020
MIXÉM: Unsupervised Image Classification using a Mixture of Embeddings Ali Varamesh Tinne Tuytelaars VLM 54 4 0 18 Jul 2020
End-to-end Deep Prototype and Exemplar Models for Predicting Human Behavior Pulkit Singh Joshua C. Peterson Ruairidh M. Battleday Thomas Griffiths 51 18 0 17 Jul 2020
Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning Shivam Chandhok V. Balasubramanian VLM GAN 39 1 0 15 Jul 2020
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models Adarsh K. Jeewajee L. Kaelbling BDL 56 1 0 09 Jul 2020
A Benchmark of Medical Out of Distribution Detection Tianshi Cao Chinwei Huang D. Y. Hui Joseph Paul Cohen OOD 85 59 0 08 Jul 2020
Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Learning Zexi Chen B. Ramachandra Ranga Raju Vatsavai GAN 57 1 0 08 Jul 2020
AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference Andac Demir T. Koike-Akino Ye Wang Deniz Erdogmus 34 0 0 02 Jul 2020
A Convergent and Dimension-Independent Min-Max Optimization Algorithm Vijay Keswani Oren Mangoubi Sushant Sachdeva Nisheeth K. Vishnoi 77 1 0 22 Jun 2020
Learning to infer in recurrent biological networks Ari S. Benjamin Konrad Paul Kording SSL DRL 53 1 0 18 Jun 2020
Online Deep Clustering for Unsupervised Representation Learning Xiaohang Zhan Jiahao Xie Ziwei Liu Yew-Soon Ong Chen Change Loy OOD 121 189 0 18 Jun 2020
MMCGAN: Generative Adversarial Network with Explicit Manifold Prior Guanhua Zheng Jitao Sang Changsheng Xu GAN 36 1 0 18 Jun 2020
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models Siavash Khodadadeh Sharare Zehtabian Saeed Vahidian Weijia Wang Bill Lin Ladislau Bölöni 53 36 0 18 Jun 2020
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference Hao Zhang Bo Chen Yulai Cong D. Guo Hongwei Liu Mingyuan Zhou BDL 70 28 0 15 Jun 2020
Globally Injective ReLU Networks Michael Puthawala K. Kothari Matti Lassas Ivan Dokmanić Maarten V. de Hoop 103 28 0 15 Jun 2020
Reciprocal Adversarial Learning via Characteristic Functions Shengxi Li Zeyang Yu Min Xiang Danilo P. Mandic GAN 138 13 0 15 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 215 1,648 0 15 Jun 2020
Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and Fusion Yang Wang 123 202 0 15 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 491 6,871 0 13 Jun 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning Yuzhe Yang Zhi Xu SSL 131 414 0 13 Jun 2020
Knowledge Distillation Meets Self-Supervision Guodong Xu Ziwei Liu Xiaoxiao Li Chen Change Loy FedML 122 286 0 12 Jun 2020
Deep Structural Causal Models for Tractable Counterfactual Inference Nick Pawlowski Daniel Coelho De Castro Ben Glocker CML MedIm 112 243 0 11 Jun 2020
Low Distortion Block-Resampling with Spatially Stochastic Networks S. J. Hong Martín Arjovsky Darryl Barnhart Ian Thompson 46 8 0 09 Jun 2020
On Data Augmentation for GAN Training Ngoc-Trung Tran Viet-Hung Tran Ngoc-Bao Nguyen Trung-Kien Nguyen Ngai-Man Cheung MedIm 61 38 0 09 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 131 303 0 09 Jun 2020
Nested Scale Editing for Conditional Image Synthesis Lingzhi Zhang Jiancong Wang Yinshuang Xu Jie Min Tarmily Wen J. Gee Jianbo Shi DiffM 72 3 0 03 Jun 2020
High-Fidelity Audio Generation and Representation Learning with Guided Adversarial Autoencoder Kazi Nazmul Haque R. Rana Björn W Schuller DRL 100 12 0 01 Jun 2020
Generative Adversarial Networks (GANs): An Overview of Theoretical Model, Evaluation Metrics, and Recent Developments Pegah Salehi A. Chalechale M. Taghizadeh EGVM 45 40 0 27 May 2020
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs Yujun Shen Ceyuan Yang Xiaoou Tang Bolei Zhou GAN CVBM 118 600 0 18 May 2020
Defending Model Inversion and Membership Inference Attacks via Prediction Purification Ziqi Yang Bin Shao Bohan Xuan E. Chang Fan Zhang AAML 77 71 0 08 May 2020
Effect of The Latent Structure on Clustering with GANs Deepak Mishra Aravind Jayendran Prathosh A. P. GAN 14 9 0 05 May 2020
Transforming and Projecting Images into Class-conditional Generative Networks Minyoung Huh Richard Y. Zhang Jun-Yan Zhu S. Paris Aaron Hertzmann 89 111 0 04 May 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 156 307 0 30 Apr 2020
Robustness Certification of Generative Models M. Mirman Timon Gehr Martin Vechev AAML 70 21 0 30 Apr 2020
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning Timo Milbich Karsten Roth Homanga Bharadhwaj Samarth Sinha Yoshua Bengio Bjorn Ommer Joseph Paul Cohen 130 67 0 28 Apr 2020
Neural Topic Modeling with Bidirectional Adversarial Training Rui Wang Xuemeng Hu Deyu Zhou Yulan He Yuxuan Xiong Chencheng Ye Haiyang Xu AAML OOD BDL 124 90 0 26 Apr 2020
Extending and Analyzing Self-Supervised Learning Across Domains Bram Wallace B. Hariharan SSL 43 43 0 24 Apr 2020