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Importance Weighted Autoencoders

International Conference on Learning Representations (ICLR), 2015

1 September 2015

Papers citing "Importance Weighted Autoencoders"

50 / 815 papers shown

Title
PriorVAE: Encoding spatial priors with VAEs for small-area estimationJournal of the Royal Society Interface (J. R. Soc. Interface), 2021 Elizaveta Semenova Yidan Xu A. Howes T. Rashid Samir Bhatt Swapnil Mishra Seth Flaxman 226 14 0 20 Oct 2021
Guiding Visual Question Generation Nihir Vedd Zixu Wang Marek Rei Yishu Miao Lucia Specia 303 25 0 15 Oct 2021
Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units K. Young 116 0 0 14 Oct 2021
The Neglected Sibling: Isotropic Gaussian Posterior for VAE Lan Zhang Wray Buntine Ehsan Shareghi DRL 102 0 0 14 Oct 2021
Networked Time Series Prediction with Incomplete Data via Generative Adversarial Network Yichen Zhu Bo Jiang Haiming Jin Mengtian Zhang Feng Gao Jianqiang Huang Tao Lin Xinbing Wang GNN AI4TS 214 8 0 05 Oct 2021
Variational Marginal Particle Filters Jinlin Lai Justin Domke Daniel Sheldon 186 13 0 30 Sep 2021
Unaligned Image-to-Image Translation by Learning to ReweightIEEE International Conference on Computer Vision (ICCV), 2021 Shaoan Xie Biwei Huang Yanwu Xu Kun Zhang EgoV 164 25 0 24 Sep 2021
LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders Xiaoyu Chen Chen Gong Qiang He Xinwen Hou Yu Liu 178 2 0 22 Sep 2021
Deep Learning-Based Estimation and Goodness-of-Fit for Large-Scale Confirmatory Item Factor Analysis Christopher J. Urban Daniel J. Bauer CML 129 1 0 20 Sep 2021
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization Haitao Liu Jiaqi Ding Xinyu Xie Xiaomo Jiang Yusong Zhao Xiaofang Wang BDL 110 19 0 20 Sep 2021
A Conditional Generative Matching Model for Multi-lingual Reply Suggestion Budhaditya Deb Guoqing Zheng Milad Shokouhi Ahmed Hassan Awadallah 128 1 0 15 Sep 2021
You should evaluate your language model on marginal likelihood over tokenisationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Kris Cao Laura Rimell 243 30 0 06 Sep 2021
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and ClassificationInternational Conference on Machine Learning (ICML), 2021 Bo Pang Ying Nian Wu 141 19 0 26 Aug 2021
Robust outlier detection by de-biasing VAE likelihoods Kushal Chauhan Barath Mohan Umapathi Pradeep Shenoy Manish Gupta D. Sridharan DRL 274 14 0 19 Aug 2021
Regularized Sequential Latent Variable Models with Adversarial Neural NetworksInternational Conference on Machine Learning and Applications (ICMLA), 2021 Jin Huang Ming Xiao BDL GNN DRL GAN 91 3 0 10 Aug 2021
Finetuning Pretrained Transformers into Variational AutoencodersFirst Workshop on Insights from Negative Results in NLP (Insights), 2021 Seongmin Park Jihwa Lee 244 22 0 05 Aug 2021
Differentiable Annealed Importance Sampling and the Perils of Gradient NoiseNeural Information Processing Systems (NeurIPS), 2021 Guodong Zhang Kyle Hsu Jianing Li Chelsea Finn Roger C. Grosse 220 42 0 21 Jul 2021
Generative Models for Security: Attacks, Defenses, and Opportunities L. A. Bauer Vincent Bindschaedler 193 5 0 21 Jul 2021
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAENeural Information Processing Systems (NeurIPS), 2021 Qingzhong Ai Lirong He Shiyu Liu Zenglin Xu BDL 105 4 0 20 Jul 2021
The Effects of Invertibility on the Representational Complexity of Encoders in Variational AutoencodersInternational Conference on Learning Representations (ICLR), 2021 Divyansh Pareek Andrej Risteski DRL 117 0 0 09 Jul 2021
MCMC Variational Inference via Uncorrected Hamiltonian AnnealingNeural Information Processing Systems (NeurIPS), 2021 Tomas Geffner Justin Domke 249 41 0 08 Jul 2021
Parameterization of Forced Isotropic Turbulent Flow using Autoencoders and Generative Adversarial Networks Kanishk Tanishk Nandal Prince Tyagi R. Singh GAN OOD AI4CE 44 0 0 08 Jul 2021
Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE Junya Chen Zhe Gan Xuan Li Qing Guo Liqun Chen ... Belinda Zeng Wenlian Lu Fan Li Lawrence Carin Chenyang Tao 190 31 0 02 Jul 2021
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble Seunghyun Lee Younggyo Seo Kimin Lee Pieter Abbeel Jinwoo Shin OffRL OnRL 200 238 0 01 Jul 2021
Monte Carlo Variational Auto-EncodersInternational Conference on Machine Learning (ICML), 2021 Achille Thin Nikita Kotelevskii Arnaud Doucet Alain Durmus Eric Moulines Maxim Panov BDL DRL 109 47 0 30 Jun 2021
Continuous Latent Process FlowsNeural Information Processing Systems (NeurIPS), 2021 Ruizhi Deng Marcus A. Brubaker Greg Mori Andreas M. Lehrmann AI4TS 377 18 0 29 Jun 2021
On Incorporating Inductive Biases into VAEsInternational Conference on Learning Representations (ICLR), 2021 Ning Miao Emile Mathieu N. Siddharth Yee Whye Teh Tom Rainforth CML DRL 249 11 0 25 Jun 2021
NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation Xiaohui Zeng R. Urtasun R. Zemel Sanja Fidler Renjie Liao DiffM 85 2 0 25 Jun 2021
Nested Variational InferenceNeural Information Processing Systems (NeurIPS), 2021 Heiko Zimmermann Hao Wu Babak Esmaeili Jan-Willem van de Meent BDL 156 23 0 21 Jun 2021
A variational autoencoder approach for choice set generation and implicit perception of alternatives in choice modelingTransportation Research Part B: Methodological (TRPBM), 2021 Rui Yao S. Bekhor DRL 122 17 0 19 Jun 2021
Differentiable Particle Filtering without Modifying the Forward Pass Adam Scibior Frank Wood 174 24 0 18 Jun 2021
Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models Jaemoo Choi Changyeon Yoon Jeongwoo Bae Myung-joo Kang OODD 201 4 0 15 Jun 2021
Last Layer Marginal Likelihood for Invariance LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Pola Schwobel Martin Jørgensen Sebastian W. Ober Mark van der Wilk BDL UQCV 184 31 0 14 Jun 2021
Model Selection for Bayesian AutoencodersNeural Information Processing Systems (NeurIPS), 2021 Ba-Hien Tran Simone Rossi Dimitrios Milios Pietro Michiardi Edwin V. Bonilla Maurizio Filippone BDL 167 14 0 11 Jun 2021
Score-based Generative Modeling in Latent SpaceNeural Information Processing Systems (NeurIPS), 2021 Arash Vahdat Karsten Kreis Jan Kautz DiffM 394 797 0 10 Jun 2021
Data augmentation in Bayesian neural networks and the cold posterior effectConference on Uncertainty in Artificial Intelligence (UAI), 2021 Seth Nabarro Stoil Ganev Adrià Garriga-Alonso Vincent Fortuin Mark van der Wilk Laurence Aitchison BDL 232 45 0 10 Jun 2021
EMFlow: Data Imputation in Latent Space via EM and Deep Flow Models Qi Ma S. Ghosh 129 5 0 09 Jun 2021
On Memorization in Probabilistic Deep Generative ModelsNeural Information Processing Systems (NeurIPS), 2021 G. V. D. Burg Christopher K. I. Williams TDI 262 78 0 06 Jun 2021
Consistency Regularization for Variational Auto-EncodersNeural Information Processing Systems (NeurIPS), 2021 Samarth Sinha Adji Bousso Dieng CML 200 73 0 31 May 2021
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works A. Shoeibi Parisa Moridian Marjane Khodatars Navid Ghassemi M. Jafari ... Juan M Gorriz Javier Ramírez Abbas Khosravi S. Nahavandi U. Acharya 353 62 0 29 May 2021
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary VariablesInternational Conference on Machine Learning (ICML), 2021 Alek Dimitriev Mingyuan Zhou 100 12 0 28 May 2021
Generative Text Modeling through Short Run InferenceConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 Bo Pang Erik Nijkamp Tian Han Ying Nian Wu SyDa BDL DRL 198 5 0 27 May 2021
Monte Carlo Filtering Objectives: A New Family of Variational Objectives to Learn Generative Model and Neural Adaptive Proposal for Time SeriesInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Shuangshuang Chen Sihao Ding Y. Karayiannidis Mårten Björkman BDL AI4TS 108 2 0 20 May 2021
Boosting Variational Inference With Locally Adaptive Step-SizesInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Gideon Dresdner Saurav Shekhar Fabian Pedregosa Francesco Locatello Gunnar Rätsch 110 2 0 19 May 2021
Empirical Evaluation of Biased Methods for Alpha Divergence Minimization Tomas Geffner Justin Domke 152 10 0 13 May 2021
A likelihood approach to nonparametric estimation of a singular distribution using deep generative modelsJournal of machine learning research (JMLR), 2021 Minwoo Chae Dongha Kim Yongdai Kim Lizhen Lin 449 22 0 09 May 2021
Generalized Multimodal ELBOInternational Conference on Learning Representations (ICLR), 2021 Thomas M. Sutter Imant Daunhawer Julia E. Vogt 222 117 0 06 May 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational AutoencoderIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Clément Chadebec Elina Thibeau-Sutre Ninon Burgos S. Allassonnière 325 82 0 30 Apr 2021
Class-Incremental Learning with Generative Classifiers Gido M. van de Ven Zhe Li A. Tolias BDL 144 73 0 20 Apr 2021
Revisiting Bayesian Autoencoders with MCMCIEEE Access (IEEE Access), 2021 Rohitash Chandra Mahir Jain Manavendra Maharana P. Krivitsky UQCV BDL 267 19 0 13 Apr 2021