Spherical Latent Spaces for Stable Variational Autoencoders

31 August 2018

Papers citing "Spherical Latent Spaces for Stable Variational Autoencoders"

34 / 34 papers shown

Title
Spherical Tree-Sliced Wasserstein Distance Hoang V. Tran Thanh T. Chu K. Nguyen Trang Pham Tam Le T. Nguyen OT 61 3 0 14 Mar 2025
Hyperspherical Normalization for Scalable Deep Reinforcement Learning Hojoon Lee Youngdo Lee Takuma Seno Donghu Kim Peter Stone Jaegul Choo 63 1 0 24 Feb 2025
A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry Martin Lindström Borja Rodríguez Gálvez Ragnar Thobaben Mikael Skoglund 40 0 0 10 Jul 2024
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning Prashant Shivaram Bhat Bharath Renjith Elahe Arani Bahram Zonooz CLL 48 2 0 28 Apr 2024
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani Xiaozhong Liu 78 31 0 27 Aug 2023
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution Jaeill Kim Suhyun Kang Duhun Hwang Jungwook Shin Wonjong Rhee DRL 13 21 0 04 Apr 2023
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation Jinyi Hu Xiaoyuan Yi Wenhao Li Maosong Sun Xingxu Xie DRL 27 0 0 22 Oct 2022
Hyperbolic VAE via Latent Gaussian Distributions Seunghyuk Cho Juyong Lee Dongwoo Kim DRL 52 5 0 30 Sep 2022
Self-supervised learning with rotation-invariant kernels Léon Zheng Gilles Puy E. Riccietti Patrick Pérez Rémi Gribonval SSL 19 2 0 28 Jul 2022
Spherical Sliced-Wasserstein Clément Bonet P. Berg Nicolas Courty Françcois Septier Lucas Drumetz Minh Pham 30 27 0 17 Jun 2022
Hyperspherical Consistency Regularization Cheng Tan Zhangyang Gao Lirong Wu Siyuan Li Stan Z. Li 36 25 0 02 Jun 2022
Generating Multivariate Load States Using a Conditional Variational Autoencoder Chenguang Wang Ensieh Sharifnia Zhi Gao Simon Tindemans Peter Palensky 29 22 0 21 Oct 2021
G-VAE, a Geometric Convolutional VAE for ProteinStructure Generation Hao Huang Boulbaba Ben Amor Xichan Lin Fan Zhu Yi Fang DRL 24 7 0 22 Jun 2021
Discrete Auto-regressive Variational Attention Models for Text Modeling Xianghong Fang Haoli Bai Jian Li Zenglin Xu Michael Lyu Irwin King 40 3 0 16 Jun 2021
Pseudo-Riemannian Graph Convolutional Networks Bo Xiong Shichao Zhu Nico Potyka Shirui Pan Chuan Zhou Steffen Staab GNN 38 28 0 06 Jun 2021
Autoencoding Under Normalization Constraints Sangwoong Yoon Yung-Kyun Noh Frank C. Park OODD UQCV 27 38 0 12 May 2021
Principled Interpolation in Normalizing Flows Samuel G. Fadel Sebastian Mair Ricardo da S. Torres Ulf Brefeld 83 3 0 22 Oct 2020
Generative Model without Prior Distribution Matching Cong Geng Jia Wang L. Chen Zhiyong Gao GAN 132 1 0 23 Sep 2020
Learning Sparse Prototypes for Text Generation Junxian He Taylor Berg-Kirkpatrick Graham Neubig 27 23 0 29 Jun 2020
Geodesics in fibered latent spaces: A geometric approach to learning correspondences between conditions Tariq Daouda Reda Chhaibi Prudencio Tossou A. Villani 11 2 0 16 May 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
Amortised Learning by Wake-Sleep W. Li Theodore H. Moskovitz Heishiro Kanagawa M. Sahani OOD 23 7 0 22 Feb 2020
Variational Autoencoders with Riemannian Brownian Motion Priors Dimitris Kalatzis David Eklund Georgios Arvanitidis Søren Hauberg BDL DRL 60 48 0 12 Feb 2020
Paraphrase Generation with Latent Bag of Words Yao Fu Yansong Feng John P. Cunningham BDL 25 91 0 07 Jan 2020
Learning Representations by Maximizing Mutual Information in Variational Autoencoders Ali Lotfi-Rezaabad S. Vishwanath DRL SSL 11 39 0 21 Dec 2019
Mixed-curvature Variational Autoencoders Ondrej Skopek O. Ganea Gary Bécigneul CML DRL BDL 30 101 0 19 Nov 2019
Constant Curvature Graph Convolutional Networks Gregor Bachmann Gary Bécigneul O. Ganea GNN 24 132 0 12 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
Improve variational autoEncoder with auxiliary softmax multiclassifier Yao Li DRL 21 0 0 17 Aug 2019
Effective Estimation of Deep Generative Language Models Tom Pelsmaeker Wilker Aziz BDL 24 27 0 17 Apr 2019
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations Mingda Chen Qingming Tang Sam Wiseman Kevin Gimpel DRL 23 76 0 02 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
A Retrieve-and-Edit Framework for Predicting Structured Outputs Tatsunori B. Hashimoto Kelvin Guu Yonatan Oren Percy Liang BDL KELM 36 174 0 04 Dec 2018
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 251 2,550 0 25 Jan 2016