Discrete Variational Autoencoders

7 September 2016

Papers citing "Discrete Variational Autoencoders"

38 / 38 papers shown

Title
MIMRS: A Survey on Masked Image Modeling in Remote Sensing Shabnam Choudhury Akhil Vasim Michael Schmitt Biplab Banerjee 30 0 0 04 Apr 2025
An Image is Worth 32 Tokens for Reconstruction and Generation Qihang Yu Mark Weber XueQing Deng Xiaohui Shen Daniel Cremers Liang-Chieh Chen VLM ViT 44 79 0 11 Jun 2024
Im-Promptu: In-Context Composition from Image Prompts Bhishma Dedhia Michael Chang Jake C. Snell Thomas L. Griffiths N. Jha LRM MLLM 27 1 0 26 May 2023
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation Xiaowei Huang Wenjie Ruan Wei Huang Gao Jin Yizhen Dong ... Sihao Wu Peipei Xu Dengyu Wu André Freitas Mustafa A. Mustafa ALM 27 81 0 19 May 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Yihan Cao Siyu Li Yixin Liu Zhiling Yan Yutong Dai Philip S. Yu Lichao Sun 24 501 0 07 Mar 2023
From paintbrush to pixel: A review of deep neural networks in AI-generated art Anne-Sofie Maerten Derya Soydaner 30 22 0 14 Feb 2023
RILS: Masked Visual Reconstruction in Language Semantic Space Shusheng Yang Yixiao Ge Kun Yi Dian Li Ying Shan Xiaohu Qie Xinggang Wang CLIP 35 11 0 17 Jan 2023
Event Camera Data Pre-training Yan Yang Liyuan Pan Liu Liu 13 31 0 05 Jan 2023
Muse: Text-To-Image Generation via Masked Generative Transformers Huiwen Chang Han Zhang Jarred Barber AJ Maschinot José Lezama ... Kevin Patrick Murphy William T. Freeman Michael Rubinstein Yuanzhen Li Dilip Krishnan DiffM 197 518 0 02 Jan 2023
FastMIM: Expediting Masked Image Modeling Pre-training for Vision Jianyuan Guo Kai Han Han Wu Yehui Tang Yunhe Wang Chang Xu 25 9 0 13 Dec 2022
SIMPLE: A Gradient Estimator for $k$ -Subset Sampling Kareem Ahmed Zhe Zeng Mathias Niepert Guy Van den Broeck BDL 26 24 0 04 Oct 2022
SeRP: Self-Supervised Representation Learning Using Perturbed Point Clouds Siddhant Garg Mudit Chaudhary 3DPC 27 2 0 13 Sep 2022
Lossy Image Compression with Quantized Hierarchical VAEs Zhihao Duan Ming-Tse Lu Zhan Ma F. Zhu 33 43 0 27 Aug 2022
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Jiahui Yu Yuanzhong Xu Jing Yu Koh Thang Luong Gunjan Baid ... Zarana Parekh Xin Li Han Zhang Jason Baldridge Yonghui Wu EGVM 88 1,061 0 22 Jun 2022
Latent Variable Modelling Using Variational Autoencoders: A survey Vasanth Kalingeri CML DRL 18 2 0 20 Jun 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 24 80 0 07 Jun 2022
Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization Wei Wei Hengguan Huang Xiangming Gu Hao Wang Ye Wang BDL 22 0 0 05 May 2022
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling Xumin Yu Lulu Tang Yongming Rao Tiejun Huang Jie Zhou Jiwen Lu 3DPC 20 651 0 29 Nov 2021
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers Xiaoyi Dong Jianmin Bao Ting Zhang Dongdong Chen Weiming Zhang Lu Yuan Dong Chen Fang Wen Nenghai Yu Baining Guo ViT 33 238 0 24 Nov 2021
VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling Tsu-jui Fu Linjie Li Zhe Gan Kevin Qinghong Lin W. Wang Lijuan Wang Zicheng Liu VLM 34 216 0 24 Nov 2021
iBOT: Image BERT Pre-Training with Online Tokenizer Jinghao Zhou Chen Wei Huiyu Wang Wei Shen Cihang Xie Alan Yuille Tao Kong 19 709 0 15 Nov 2021
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction Patrick Dendorfer Sven Elflein Laura Leal-Taixé 19 91 0 20 Aug 2021
Discrete Auto-regressive Variational Attention Models for Text Modeling Xianghong Fang Haoli Bai Jian Li Zenglin Xu Michael Lyu Irwin King 24 3 0 16 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 11 656 0 10 Jun 2021
DiffPrune: Neural Network Pruning with Deterministic Approximate Binary Gates and $L_0$ Regularization Yaniv Shulman 33 3 0 07 Dec 2020
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents E. Guiraud Jakob Drefs Jörg Lücke DRL 25 3 0 27 Nov 2020
AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders A. Glushkovsky DRL 17 6 0 24 Nov 2020
Using generative modelling to produce varied intonation for speech synthesis Zack Hodari O. Watts Simon King 16 29 0 10 Jun 2019
Interpretable Neural Predictions with Differentiable Binary Variables Jasmijn Bastings Wilker Aziz Ivan Titov 18 211 0 20 May 2019
Introducing Super Pseudo Panels: Application to Transport Preference Dynamics S. Borysov Jeppe Rich AI4TS 11 7 0 01 Mar 2019
Conditional Inference in Pre-trained Variational Autoencoders via Cross-coding Ga Wu Justin Domke Scott Sanner BDL DRL 11 11 0 20 May 2018
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations Arash Vahdat W. Macready Zhengbing Bian Amir Khoshaman Evgeny Andriyash 26 75 0 14 Feb 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 19 243 0 07 Feb 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 36 684 0 15 Nov 2017
Energy-based Models for Video Anomaly Detection H. Vu Dinh Q. Phung T. Nguyen Anthony Trevors Svetha Venkatesh 16 22 0 17 Aug 2017
Stochastic Sequential Neural Networks with Structured Inference Hao Liu Haoli Bai Lirong He Zenglin Xu BDL 10 3 0 24 May 2017
Semi-Supervised Generation with Cluster-aware Generative Models Lars Maaløe Marco Fraccaro Ole Winther 15 28 0 03 Apr 2017
Stochastic Backpropagation through Mixture Density Distributions Alex Graves BDL 49 45 0 19 Jul 2016