Semi-Amortized Variational Autoencoders

7 February 2018

Papers citing "Semi-Amortized Variational Autoencoders"

36 / 36 papers shown

Title
Brain-like variational inference Hadi Vafaii Dekel Galor Jacob L. Yates DRL 49 0 0 25 Oct 2024
Boosting Summarization with Normalizing Flows and Aggressive Training Yu Yang Xiaotong Shen AI4CE TPM 19 0 0 01 Nov 2023
Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency M. Crouse Ramón Fernández Astudillo Tahira Naseem Subhajit Chaudhury Pavan Kapanipathi Salim Roukos Alexander G. Gray OffRL 22 0 0 31 May 2023
Diffusion-based Generation, Optimization, and Planning in 3D Scenes Siyuan Huang Zan Wang Puhao Li Baoxiong Jia Tengyu Liu Yixin Zhu Wei Liang Song-Chun Zhu DiffM 64 201 0 15 Jan 2023
DGNet: Distribution Guided Efficient Learning for Oil Spill Image Segmentation Fang Chen H. Balzter Feixiang Zhou Pengxin Ren Huiyu Zhou 25 13 0 19 Dec 2022
Towards a Taxonomy for the Use of Synthetic Data in Advanced Analytics Peter Kowalczyk Giacomo Welsch Frédéric Thiesse 30 2 0 05 Dec 2022
Variational Laplace Autoencoders Yookoon Park C. Kim Gunhee Kim BDL DRL 26 21 0 30 Nov 2022
Optimization for Amortized Inverse Problems Tianci Liu Tong Yang Quan Zhang Qi Lei 36 5 0 25 Oct 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs Ðorðe Miladinovic Kumar Shridhar Kushal Kumar Jain Max B. Paulus J. M. Buhmann Mrinmaya Sachan Carl Allen DRL 23 5 0 26 Sep 2022
Bit Allocation using Optimization Tongda Xu Han-yi Gao Chenjian Gao Yuanyuan Wang Dailan He ... Mao Ye Hongwei Qin Yan Wang Jingjing Liu Ya-Qin Zhang 56 14 0 20 Sep 2022
Flexible Neural Image Compression via Code Editing Chenjian Gao Tongda Xu Dailan He Hongwei Qin Yan Wang 46 24 0 19 Sep 2022
Hybrid Predictive Coding: Inferring, Fast and Slow Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley 24 36 0 05 Apr 2022
Unsupervised Representation Learning via Neural Activation Coding Yookoon Park Sangho Lee Gunhee Kim David M. Blei SSL 21 8 0 07 Dec 2021
Relay Variational Inference: A Method for Accelerated Encoderless VI Amir Zadeh Santiago Benoit Louis-Philippe Morency DRL 17 1 0 26 Oct 2021
Applications of the Free Energy Principle to Machine Learning and Neuroscience Beren Millidge DRL 20 7 0 30 Jun 2021
Latent Space Refinement for Deep Generative Models R. Winterhalder Marco Bellagente Benjamin Nachman BDL GAN DRL DiffM 10 27 0 01 Jun 2021
NeRF-VAE: A Geometry Aware 3D Scene Generative Model Adam R. Kosiorek Heiko Strathmann Daniel Zoran Pol Moreno R. Schneider Sovna Mokrá Danilo Jimenez Rezende DRL 29 139 0 01 Apr 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 41 480 0 08 Mar 2021
COIN: COmpression with Implicit Neural representations Emilien Dupont Adam Goliñski Milad Alizadeh Yee Whye Teh Arnaud Doucet 23 223 0 03 Mar 2021
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents E. Guiraud Jakob Drefs Jörg Lücke DRL 33 3 0 27 Nov 2020
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks Yaniv Yacoby Weiwei Pan Finale Doshi-Velez CML DRL 27 25 0 14 Jul 2020
Control as Hybrid Inference Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley 19 9 0 11 Jul 2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away Qile Zhu Jianlin Su Wei Bi Xiaojiang Liu Xiyao Ma Xiaolin Li D. Wu BDL DRL 34 61 0 27 Apr 2020
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space Chunyuan Li Xiang Gao Yuan Li Baolin Peng Xiujun Li Yizhe Zhang Jianfeng Gao SSL DRL 32 181 0 05 Apr 2020
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders Yaniv Yacoby Weiwei Pan Finale Doshi-Velez DRL 13 4 0 17 Mar 2020
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse James Lucas George Tucker Roger C. Grosse Mohammad Norouzi CoGe DRL 27 179 0 06 Nov 2019
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text Bohan Li Junxian He Graham Neubig Taylor Berg-Kirkpatrick Yiming Yang DRL 11 70 0 02 Sep 2019
Maximizing Mutual Information for Tacotron Peng Liu Xixin Wu Shiyin Kang Guangzhi Li Dan Su Dong Yu 14 16 0 30 Aug 2019
Educating Text Autoencoders: Latent Representation Guidance via Denoising T. Shen Jonas W. Mueller Regina Barzilay Tommi Jaakkola 16 4 0 29 May 2019
Effective Estimation of Deep Generative Language Models Tom Pelsmaeker Wilker Aziz BDL 22 27 0 17 Apr 2019
Benchmarking Approximate Inference Methods for Neural Structured Prediction Lifu Tu Kevin Gimpel BDL 33 17 0 01 Apr 2019
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders Junxian He Daniel M. Spokoyny Graham Neubig Taylor Berg-Kirkpatrick BDL DRL 14 272 0 16 Jan 2019
VoxelMorph: A Learning Framework for Deformable Medical Image Registration Guha Balakrishnan Amy Zhao M. Sabuncu John Guttag Adrian V. Dalca MedIm 44 1,543 0 14 Sep 2018
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling Zhijian Ou 23 16 0 05 Aug 2018
Item Recommendation with Variational Autoencoders and Heterogenous Priors Giannis Karamanolakis Kevin Raji Cherian A. Narayan Jie Yuan Da Tang Tony Jebara DRL 8 45 0 17 Jul 2018
Meta-Learning Probabilistic Inference For Prediction Jonathan Gordon J. Bronskill Matthias Bauer Sebastian Nowozin Richard Turner BDL 45 263 0 24 May 2018