Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

50 / 3,460 papers shown

Title
Language Does More Than Describe: On The Lack Of Figurative Speech in Text-To-Image Models Ricardo Kleinlein Cristina Luna Jiménez Fernando Fernández-Martínez DiffM 23 3 0 19 Oct 2022
Rethinking Sharpness-Aware Minimization as Variational Inference Szilvia Ujváry Zsigmond Telek A. Kerekes Anna Mészáros Ferenc Huszár 33 8 0 19 Oct 2022
Towards Efficient and Effective Self-Supervised Learning of Visual Representations Sravanti Addepalli Kaushal Bhogale Priyam Dey R. Venkatesh Babu SSL 18 8 0 18 Oct 2022
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning P. Becker Gerhard Neumann 30 9 0 17 Oct 2022
Rethinking Trajectory Prediction via "Team Game" Zikai Wei Xinge Zhu Bo Dai Dahua Lin AI4CE 27 0 0 17 Oct 2022
Protein Sequence and Structure Co-Design with Equivariant Translation Chence Shi Chuanrui Wang Jiarui Lu Bozitao Zhong Jian Tang DiffM 35 47 0 17 Oct 2022
Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints Jiayu Huang Yutian Pang Yongming Liu Hao Yan BDL UQCV 28 15 0 16 Oct 2022
Stochastic Occupancy Grid Map Prediction in Dynamic Scenes Zhanteng Xie P. Dames 33 4 0 16 Oct 2022
DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models Yueqin Yin Lianghua Huang Yu Liu Kaiqiang Huang DiffM 41 12 0 16 Oct 2022
On the Relationship Between Variational Inference and Auto-Associative Memory Louis Annabi Alexandre Pitti M. Quoy BDL 35 5 0 14 Oct 2022
Disentanglement of Correlated Factors via Hausdorff Factorized Support Karsten Roth Mark Ibrahim Zeynep Akata Pascal Vincent Diane Bouchacourt CML OOD CoGe 41 33 0 13 Oct 2022
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification Tom van Sonsbeek Xiantong Zhen Dwarikanath Mahapatra M. Worring 40 12 0 13 Oct 2022
Autoencoder-Aided Visualization of Collections of Morse Complexes Jixian Li D. V. Boxel Joshua A. Levine 31 0 0 12 Oct 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning Fei Ye A. Bors CLL 29 28 0 12 Oct 2022
Microscopy is All You Need Sergei V. Kalinin Rama K Vasudevan Yongtao Liu Ayana Ghosh Kevin M. Roccapriore M. Ziatdinov 33 0 0 12 Oct 2022
Quantifying Uncertainty with Probabilistic Machine Learning Modeling in Wireless Sensing Amit Kachroo Sai Prashanth Chinnapalli 23 0 0 12 Oct 2022
Anomaly Detection using Generative Models and Sum-Product Networks in Mammography Scans Marc Dietrichstein David Major Martin Trapp M. Wimmer Dimitrios Lenis Philip Winter Astrid Berg Theresa Neubauer Katja Bühler MedIm 18 4 0 12 Oct 2022
ControlVAE: Model-Based Learning of Generative Controllers for Physics-Based Characters Heyuan Yao Zhenhua Song Bin Chen Libin Liu DRL VGen 16 41 0 12 Oct 2022
Modular Flows: Differential Molecular Generation Yogesh Verma Samuel Kaski Markus Heinonen Vikas K. Garg 34 14 0 12 Oct 2022
Generative Adversarial Nets: Can we generate a new dataset based on only one training set? Lan V. Truong GAN OOD 29 0 0 12 Oct 2022
Adversarial Speaker-Consistency Learning Using Untranscribed Speech Data for Zero-Shot Multi-Speaker Text-to-Speech Byoung Jin Choi Myeonghun Jeong Minchan Kim Sung Hwan Mun N. Kim DiffM 27 5 0 12 Oct 2022
A unified model for continuous conditional video prediction Xi Ye Guillaume-Alexandre Bilodeau AI4TS 47 7 0 11 Oct 2022
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance Chen Henry Wu Fernando de la Torre DiffM 41 67 0 11 Oct 2022
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning Changkun Ye Nick Barnes L. Petersson Russell Tsuchida BDL SyDa VLM 37 3 0 11 Oct 2022
Markup-to-Image Diffusion Models with Scheduled Sampling Yuntian Deng Noriyuki Kojima Alexander M. Rush DiffM 49 4 0 11 Oct 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration Manyi Zhang Yuxin Ren Zihao Wang C. Yuan 29 3 0 11 Oct 2022
Real-Time Dynamic Map with Crowdsourcing Vehicles in Edge Computing Qian Liu Tao Han Jiang Xie Xie Baek-Hyeon Kim 31 10 0 10 Oct 2022
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation Jiatao Gu Shuangfei Zhai Yizhe Zhang Miguel Angel Bautista J. Susskind DiffM 58 26 0 10 Oct 2022
What the DAAM: Interpreting Stable Diffusion Using Cross Attention Raphael Tang Linqing Liu Akshat Pandey Zhiying Jiang Gefei Yang K. Kumar Pontus Stenetorp Jimmy J. Lin Ferhan Ture 34 168 0 10 Oct 2022
Visually Similar Products Retrieval for Shopsy P. Nadkarni Narendra Varma Dasararaju 30 0 0 10 Oct 2022
Improving The Reconstruction Quality by Overfitted Decoder Bias in Neural Image Compression Oussama Jourairi M. Balcilar Anne Lambert Franccois Schnitzler 15 4 0 10 Oct 2022
A Detailed Study of Interpretability of Deep Neural Network based Top Taggers Ayush Khot Mark S. Neubauer Avik Roy AAML 50 16 0 09 Oct 2022
Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural Systems Wen Liu Zhilu Lai Kiran Bacsa Eleni Chatzi 38 16 0 09 Oct 2022
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems Ruizhong Qiu Zhiqing Sun Yiming Yang 47 80 0 08 Oct 2022
Ball-and-socket joint pose estimation using magnetic field Tai Hoang Alona Kharchenko Simon Trendel Rafael Hostettler 16 0 0 08 Oct 2022
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative Tianxin Wei Yuning You Tianlong Chen Yang Shen Jingrui He Zhangyang Wang 41 45 0 07 Oct 2022
GENHOP: An Image Generation Method Based on Successive Subspace Learning Xuejing Lei Wei Wang C.-C. Jay Kuo VLM 32 6 0 07 Oct 2022
Scalable Self-Supervised Representation Learning from Spatiotemporal Motion Trajectories for Multimodal Computer Vision Swetava Ganguli C. V. K. Iyer Vipul Pandey SSL 35 5 0 07 Oct 2022
Neural Volumetric Mesh Generator Yang Zheng Lemeng Wu Xingchao Liu Zhe Chen Qiang Liu Qi-Xing Huang DiffM 10 9 0 06 Oct 2022
Distributionally Adaptive Meta Reinforcement Learning Anurag Ajay Abhishek Gupta Dibya Ghosh Sergey Levine Pulkit Agrawal OOD 31 14 0 06 Oct 2022
An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era Andreas Triantafyllopoulos Björn W. Schuller Gokcce .Iymen M. Sezgin Xiangheng He ... Shuo Liu Silvan Mertes Elisabeth André Ruibo Fu Jianhua Tao 25 53 0 06 Oct 2022
Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control Jiayu Chen Tian-Shing Lan Vaneet Aggarwal BDL 24 16 0 05 Oct 2022
HandFlow: Quantifying View-Dependent 3D Ambiguity in Two-Hand Reconstruction with Normalizing Flow Jiayi Wang D. Luvizon Franziska Mueller Florian Bernard Adam Kortylewski Dan Casas Christian Theobalt 3DH 41 5 0 04 Oct 2022
Diffusion Models for Graphs Benefit From Discrete State Spaces K. Haefeli Karolis Martinkus Nathanael Perraudin Roger Wattenhofer DiffM 106 52 0 04 Oct 2022
RAP: Risk-Aware Prediction for Robust Planning Haruki Nishimura Jean Mercat Blake Wulfe R. McAllister Adrien Gaidon OOD 54 18 0 04 Oct 2022
Connecting Surrogate Safety Measures to Crash Probablity via Causal Probabilistic Time Series Prediction Jiajian Lu Offer Grembek M. Hansen AI4TS 24 0 0 04 Oct 2022
Interpretable Option Discovery using Deep Q-Learning and Variational Autoencoders Per-Arne Andersen Ole-Christoffer Granmo Morten Goodwin OOD 33 0 0 03 Oct 2022
Visual Prompt Tuning for Generative Transfer Learning Kihyuk Sohn Yuan Hao José Lezama Luisa F. Polanía Huiwen Chang Han Zhang Irfan Essa Lu Jiang VPVLM VLM 64 81 0 03 Oct 2022
Smooth image-to-image translations with latent space interpolations Yahui Liu E. Sangineto Yajing Chen Linchao Bao Haoxian Zhang N. Sebe Bruno Lepri Marco De Nadai 48 2 0 03 Oct 2022
Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation Yannick Hogewind T. D. Simão Tal Kachman N. Jansen 21 10 0 02 Oct 2022