Title
Fairness without the sensitive attribute via Causal Variational Autoencoder Vincent Grari Sylvain Lamprier Marcin Detyniecki 70 30 0 10 Sep 2021
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis Patrick Esser Robin Rombach A. Blattmann Bjorn Ommer DiffM 107 162 0 19 Aug 2021
Personalized Trajectory Prediction via Distribution Discrimination Guangyi Chen Junlong Li Nuoxing Zhou Liangliang Ren Jiwen Lu 83 55 0 29 Jul 2021
Unsupervised Learning of Neurosymbolic Encoders Eric Zhan Jennifer J. Sun Ann Kennedy Yisong Yue Swarat Chaudhuri 88 14 0 28 Jul 2021
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE Qingzhong Ai Lirong He Shiyu Liu Zenglin Xu BDL 35 3 0 20 Jul 2021
CatVRNN: Generating Category Texts via Multi-task Learning Pengsen Cheng Jinqiao Dai Jiayong Liu GAN 30 3 0 12 Jul 2021
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis A. Blattmann Timo Milbich Michael Dorkenwald Bjorn Ommer DiffM VGen 73 42 0 06 Jul 2021
InfoNCE is variational inference in a recognition parameterised model Laurence Aitchison Stoil Ganev BDL 61 10 0 06 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 82 1 0 05 Jul 2021
Diffusion Priors In Variational Autoencoders Antoine Wehenkel Gilles Louppe DiffM 74 23 0 29 Jun 2021
G-VAE, a Geometric Convolutional VAE for ProteinStructure Generation Hao Huang Boulbaba Ben Amor Xichan Lin Fan Zhu Yi Fang DRL 51 7 0 22 Jun 2021
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation Yifan Wang Suyao Tang Yuntong Lei Weiping Song Sheng Wang Ming Zhang 85 141 0 21 Jun 2021
Lossy Compression for Lossless Prediction Yann Dubois Benjamin Bloem-Reddy Karen Ullrich Chris J. Maddison 120 62 0 21 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 129 121 0 12 Jun 2021
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior Sang-gil Lee Heeseung Kim Chaehun Shin Xu Tan Chang-Shu Liu Qi Meng Tao Qin Wei Chen Sung-Hoon Yoon Tie-Yan Liu DiffM 83 89 0 11 Jun 2021
Model Selection for Bayesian Autoencoders Ba-Hien Tran Simone Rossi Dimitrios Milios Pietro Michiardi Edwin V. Bonilla Maurizio Filippone BDL 79 13 0 11 Jun 2021
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech Jaehyeon Kim Jungil Kong Juhee Son DRL 138 901 0 11 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 78 687 0 10 Jun 2021
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction Janis Postels Mengya Liu Riccardo Spezialetti Luc Van Gool Federico Tombari AI4CE 3DPC 72 22 0 06 Jun 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 137 133 0 14 May 2021
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-RL K. Akuzawa Yusuke Iwasawa Y. Matsuo 60 4 0 14 May 2021
Stochastic Image-to-Video Synthesis using cINNs Michael Dorkenwald Timo Milbich A. Blattmann Robin Rombach Konstantinos G. Derpanis Bjorn Ommer DiffM VGen 93 55 0 10 May 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder Clément Chadebec Elina Thibeau-Sutre Ninon Burgos S. Allassonnière 126 69 0 30 Apr 2021
Review of end-to-end speech synthesis technology based on deep learning Zhaoxi Mu Xinyu Yang Yizhuo Dong AuLLM ALM 91 25 0 20 Apr 2021
Geometry-Free View Synthesis: Transformers and no 3D Priors Robin Rombach Patrick Esser Bjorn Ommer ViT 103 95 0 15 Apr 2021
Mixed supervision for surface-defect detection: from weakly to fully supervised learning Jakob Bozic Domen Tabernik D. Skočaj 101 257 0 13 Apr 2021
Variational Transformer Networks for Layout Generation Diego Martin Arroyo Janis Postels F. Tombari ViT DRL 53 131 0 06 Apr 2021
Interpretable Unsupervised Diversity Denoising and Artefact Removal M. Prakash M. Delbracio P. Milanfar Florian Jug 110 34 0 03 Apr 2021
Neighbor Embedding Variational Autoencoder Renfei Tu Yang Liu Yongzeng Xue Cheng Wang Maozu Guo BDL DRL 55 0 0 21 Mar 2021
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling DJordje Miladinović Aleksandar Stanić Stefan Bauer Jürgen Schmidhuber J. M. Buhmann DRL 76 9 0 16 Mar 2021
Variable-rate discrete representation learning Sander Dieleman C. Nash Jesse Engel Karen Simonyan BDL DRL 82 24 0 10 Mar 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 176 506 0 08 Mar 2021
Behavior-Driven Synthesis of Human Dynamics A. Blattmann Timo Milbich Michael Dorkenwald Bjorn Ommer 72 14 0 08 Mar 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 273 749 0 02 Mar 2021
Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning Guy Tennenholtz Shie Mannor OffRL 57 12 0 22 Feb 2021
Kanerva++: extending The Kanerva Machine with differentiable, locally block allocated latent memory Jason Ramapuram Yan Wu Alexandros Kalousis 30 4 0 20 Feb 2021
UAV Localization Using Autoencoded Satellite Images Mollie Bianchi Timothy D. Barfoot 65 49 0 10 Feb 2021
Attentive Gaussian processes for probabilistic time-series generation Kuilin Chen Chi-Guhn Lee AI4TS 23 1 0 10 Feb 2021
Neural representation and generation for RNA secondary structures Zichao Yan William L. Hamilton Mathieu Blanchette 57 3 0 01 Feb 2021
Hierarchical Variational Autoencoder for Visual Counterfactuals Nicolas Vercheval A. Pižurica CML DRL BDL 76 2 0 01 Feb 2021
Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization Xudong Sun Florian Buettner BDL OOD DRL 57 3 0 23 Jan 2021
Knowledge Generation -- Variational Bayes on Knowledge Graphs Florian Wolf BDL 27 0 0 21 Jan 2021
Convex Smoothed Autoencoder-Optimal Transport model Aratrika Mustafi GAN DRL 42 1 0 14 Jan 2021
Cauchy-Schwarz Regularized Autoencoder Linh-Tam Tran Maja Pantic M. Deisenroth DRL BDL 72 17 0 06 Jan 2021
HAVANA: Hierarchical and Variation-Normalized Autoencoder for Person Re-identification Jiawei Ren Xiao Ma Chen Xu Haiyu Zhao Shuai Yi BDL 52 4 0 06 Jan 2021
Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade Jiatao Gu X. Kong 91 137 0 31 Dec 2020
Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions Huangjie Zheng Mingyuan Zhou OT 163 29 0 28 Dec 2020
Regularization with Latent Space Virtual Adversarial Training Genki Osada Budrul Ahsan Revoti Prasad Bora Takashi Nishide 80 14 0 26 Nov 2020
All You Need is a Good Functional Prior for Bayesian Deep Learning Ba-Hien Tran Simone Rossi Dimitrios Milios Maurizio Filippone OOD BDL 73 61 0 25 Nov 2020
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 190 353 0 20 Nov 2020