SOTAVerified

Variational Inference

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1951–2000 of 2274 papers

TitleStatusHype
Variational Inference based on Robust DivergencesCode0
Dropout Sampling for Robust Object Detection in Open-Set Conditions—0
On the challenges of learning with inference networks on sparse, high-dimensional dataCode0
A deep generative model for single-cell RNA sequencing with application to detecting differentially expressed genes—0
Bayesian Hypernetworks—0
A Dynamic Edge Exchangeable Model for Sparse Temporal Networks—0
α-Variational Inference with Statistical Guarantees—0
Learnable Explicit Density for Continuous Latent Space and Variational Inference—0
Variational Memory Addressing in Generative ModelsCode0
Perturbative Black Box Variational Inference—0
Variational inference for the multi-armed contextual banditCode0
A deep generative model for gene expression profiles from single-cell RNA sequencingCode0
Why ADAGRAD Fails for Online Topic Modeling—0
Variational Inference for Logical Inference—0
ProbFlow: Joint Optical Flow and Uncertainty Estimation—0
Variational Deep Semantic Hashing for Text DocumentsCode0
Anomaly Detection on Graph Time Series—0
Boosting Variational Inference: an Optimization Perspective—0
Learning Model Reparametrizations: Implicit Variational Inference by Fitting MCMC distributions—0
A Latent Variable Model for Two-Dimensional Canonical Correlation Analysis and its Variational Inference—0
Deep Recurrent Generative Decoder for Abstractive Text SummarizationCode0
From Patches to Images: A Nonparametric Generative ModelCode0
Multiple Clustering Views from Multiple Uncertain Experts—0
A Generative Parser with a Discriminative Recognition Algorithm—0
Improving Output Uncertainty Estimation and Generalization in Deep Learning via Neural Network Gaussian Processes—0
Bayesian Nonlinear Support Vector Machines for Big DataCode0
Variational Inference via Transformations on Distributions—0
Bayesian Models of Data Streams with Hierarchical Power Priors—0
Structured Black Box Variational Inference for Latent Time Series Models—0
Multi-period Time Series Modeling with Sparsity via Bayesian Variational Inference—0
Location Dependent Dirichlet Processes—0
Efficient Correlated Topic Modeling with Topic Embedding—0
Scalable Multi-Class Gaussian Process Classification using Expectation Propagation—0
A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI—0
Adversarial Variational Bayes Methods for Tweedie Compound Poisson Mixed Models—0
Variational Approaches for Auto-Encoding Generative Adversarial NetworksCode0
Generative Models for Learning from Crowds—0
Recurrent Latent Variable Networks for Session-Based Recommendation—0
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization—0
Discovering Discrete Latent Topics with Neural Variational InferenceCode0
Variational Sequential Monte CarloCode0
Latent Intention Dialogue ModelsCode0
Kernel Implicit Variational Inference—0
Efficient Modeling of Latent Information in Supervised Learning using Gaussian ProcessesCode0
Neural Models for Documents with MetadataCode0
Doubly Stochastic Variational Inference for Deep Gaussian ProcessesCode0
Proximity Variational InferenceCode0
Reducing Reparameterization Gradient VarianceCode0
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms—0
Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence ModelingCode0
Show:102550
← PrevPage 40 of 46Next →

No leaderboard results yet.