Adversarial Autoencoders

18 November 2015

Papers citing "Adversarial Autoencoders"

50 / 353 papers shown

Title
Application of Deep Learning on Single-Cell RNA-sequencing Data Analysis: A Review M. Brendel Chang Su Zilong Bai Hao Zhang O. Elemento Fei Wang 30 39 0 11 Oct 2022
Deep Clustering: A Comprehensive Survey Yazhou Ren Jingyu Pu Zhimeng Yang Jie Xu Guofeng Li X. Pu Philip S. Yu Lifang He HAI 43 100 0 09 Oct 2022
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder Jianning Li Jana Fragemann Seyed-Ahmad Ahmadi Jens Kleesiek Jan Egger DRL 32 4 0 29 Sep 2022
NashAE: Disentangling Representations through Adversarial Covariance Minimization Eric C. Yeats Frank Liu David A. P. Womble Hai Helen Li CML 38 10 0 21 Sep 2022
AirFi: Empowering WiFi-based Passive Human Gesture Recognition to Unseen Environment via Domain Generalization Dazhuo Wang Jianfei Yang Wei Cui Lihua Xie S. Sun 30 29 0 21 Sep 2022
A Geometric Perspective on Variational Autoencoders Clément Chadebec S. Allassonnière DRL 37 21 0 15 Sep 2022
Representing Camera Response Function by a Single Latent Variable and Fully Connected Neural Network Yunfeng Zhao S. Ferguson Huiyu Zhou K. Rafferty 21 3 0 08 Sep 2022
On the Convergence of the ELBO to Entropy Sums Jörg Lücke Jan Warnken 44 3 0 07 Sep 2022
Synthetic Data in Human Analysis: A Survey Indu Joshi Marcel Grimmer Christian Rathgeb Christoph Busch F. Brémond A. Dantcheva 40 46 0 19 Aug 2022
"Task-relevant autoencoding" enhances machine learning for human neuroscience Seyedmehdi Orouji V. Taschereau-Dumouchel A. Cortese Brian Odegaard Cody Cushing Mouslim Cherkaoui Mitsuo Kawato Hakwan Lau Megan A. K. Peters 11 1 0 17 Aug 2022
Learning Dynamic Manipulation Skills from Haptic-Play Taeyoon Lee D. Sung Kyoung-Whan Choi Choong-Keun Lee Changwoo Park Keunjun Choi 42 3 0 28 Jul 2022
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN Supervision Testing Michael Weiss A. Gómez Paolo Tonella AAML 18 6 0 21 Jul 2022
Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networks Haileleol Tibebu Aadin Malik V. D. Silva GAN 20 7 0 06 Jul 2022
Recent Advances for Quantum Neural Networks in Generative Learning Jinkai Tian Xiaoyun Sun Yuxuan Du Shanshan Zhao Qing Liu ... Xingyao Wu Min-hsiu Hsieh Tongliang Liu Wen-Bin Yang Dacheng Tao AI4CE 39 82 0 07 Jun 2022
Invertible Neural Networks for Graph Prediction Chen Xu Xiuyuan Cheng Yao Xie GNN 28 9 0 02 Jun 2022
Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction Jun Chen Ming Hu Boyang Albert Li Mohamed Elhoseiny 47 36 0 01 Jun 2022
GraphPMU: Event Clustering via Graph Representation Learning Using Locationally-Scarce Distribution-Level Fundamental and Harmonic PMU Measurements Armin Aligholian Hamed Mohsenian-Rad 24 8 0 26 May 2022
Leveraging Relational Information for Learning Weakly Disentangled Representations Andrea Valenti D. Bacciu CoGe DRL 35 5 0 20 May 2022
Adversarial Attention for Human Motion Synthesis Matthew Malek-Podjaski F. Deligianni AAML 14 2 0 25 Apr 2022
Multi-Label Clinical Time-Series Generation via Conditional GAN C. Lu Chandan K. Reddy Ping Wang Dong Nie Yue Ning SyDa 40 26 0 10 Apr 2022
LatentGAN Autoencoder: Learning Disentangled Latent Distribution Sanket Kalwar Animikh Aich Tanay Dixit Adit Chhabra DRL 29 0 0 05 Apr 2022
Non-Local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation Jogendra Nath Kundu Siddharth Seth Anirudh Gururaj Jamkhandi Pradyumna Varun Jampani Anirban Chakraborty R. Venkatesh Babu 3DH 26 9 0 05 Apr 2022
Forestry digital twin with machine learning in Landsat 7 data Xuetao Jiang Meiyu Jiang Y. Gou Q. Li Qingguo Zhou 6 13 0 02 Apr 2022
Machine Learning in NextG Networks via Generative Adversarial Networks E. Ayanoglu Kemal Davaslioglu Y. Sagduyu GAN 24 34 0 09 Mar 2022
Compressed Predictive Information Coding Rui Meng Tianyi Luo K. Bouchard 24 1 0 03 Mar 2022
Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations Tao Guo Song Guo Jiewei Zhang Wenchao Xu Junxiao Wang MU 27 17 0 27 Feb 2022
StRegA: Unsupervised Anomaly Detection in Brain MRIs using a Compact Context-encoding Variational Autoencoder S. Chatterjee Alessandro Sciarra M. Dünnwald Pavan Tummala Shubham Agrawal Aishwarya Jauhari Aman Kalra S. Oeltze-Jafra Oliver Speck A. Nürnberger DRL 36 16 0 31 Jan 2022
Generative Adversarial Network Applications in Creating a Meta-Universe Soheyla Amirian T. Taha Khaled Rasheed H. Arabnia GAN 36 2 0 23 Jan 2022
Autoencoding Video Latents for Adversarial Video Generation Sai Hemanth Kasaraneni VGen 30 3 0 18 Jan 2022
Contrastive Cycle Adversarial Autoencoders for Single-cell Multi-omics Alignment and Integration Xuesong Wang Zhihang Hu Tingyang Yu Ruijie Wang Yumeng Wei Juan Shu Jianzhu Ma Yu Li 18 4 0 05 Dec 2021
Explainable Deep Image Classifiers for Skin Lesion Diagnosis C. Metta Andrea Beretta Riccardo Guidotti Yuan Yin Patrick Gallinari S. Rinzivillo F. Giannotti 21 5 0 22 Nov 2021
A machine learning approach for fighting the curse of dimensionality in global optimization J. Schumann Alejandro M. Aragón 28 2 0 28 Oct 2021
De Novo Molecular Generation with Stacked Adversarial Model Yuansan Liu James Bailey GAN BDL 24 1 0 24 Oct 2021
Deep Learning for Simultaneous Inference of Hydraulic and Transport Properties Zitong Zhou N. Zabaras D. Tartakovsky 26 16 0 24 Oct 2021
Signature-Graph Networks Ali Hamdi Flora D. Salim D. Kim Xiaojun Chang 21 1 0 22 Oct 2021
A Survey on Deep Learning for Skeleton-Based Human Animation Lucas Mourot Ludovic Hoyet F. Clerc Francois Schnitzler Pierre Hellier 3DH 34 77 0 13 Oct 2021
Discriminative Multimodal Learning via Conditional Priors in Generative Models R. A. Mancisidor Michael C. Kampffmeyer K. Aas Robert Jenssen GAN 30 5 0 09 Oct 2021
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning Talip Uçar Ehsan Hajiramezanali Lindsay Edwards LMTD SSL 39 124 0 08 Oct 2021
Designing Complex Experiments by Applying Unsupervised Machine Learning A. Glushkovsky 21 0 0 29 Sep 2021
Sentence Bottleneck Autoencoders from Transformer Language Models Ivan Montero Nikolaos Pappas Noah A. Smith AI4CE 22 28 0 31 Aug 2021
Efficient Out-of-Distribution Detection Using Latent Space of $β$ -VAE for Cyber-Physical Systems Shreyas Ramakrishna Zahra Rahiminasab G. Karsai Arvind Easwaran Abhishek Dubey OODD 21 27 0 26 Aug 2021
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds Bjoern Michele Alexandre Boulch Gilles Puy Maxime Bucher Renaud Marlet 3DPC DiffM VLM 41 57 0 13 Aug 2021
ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data A. Mondal Himanshu Asnani Parag Singla A. Prathosh UQCV 32 4 0 16 Jul 2021
Calliope -- A Polyphonic Music Transformer Andrea Valenti S. Berti D. Bacciu ViT 30 1 0 08 Jul 2021
Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics N. Botteghi M. Poel B. Sirmaçek C. Brune 24 3 0 04 Jul 2021
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning Yi Zhang Sheng Huang Xiao-song Peng Dan Yang 33 9 0 28 Jun 2021
Unsupervised Skill Discovery with Bottleneck Option Learning Jaekyeom Kim Seohong Park Gunhee Kim 32 32 0 27 Jun 2021
Deep Generative Learning via Schrödinger Bridge Gefei Wang Yuling Jiao Qiang Xu Yang Wang Can Yang DiffM OT 23 92 0 19 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 30 118 0 12 Jun 2021
Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations Pan Li Alexander Tuzhilin 22 50 0 17 Apr 2021