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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures CVPR 2017
Correlational Gaussian Processes for Cross-Domain Visual Recognition CVPR 2017
Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding NIPS 2017
Scalable Estimation of Dirichlet Process Mixture Models on Distributed Data IJCAI 2017
Bayesian Hybrid Matrix Factorisation for Data Integration AISTATS 2017
Removing Phase Transitions from Gibbs Measures AISTATS 2017
Dynamic Time-Of-Flight CVPR 2017
Rational Distortions of Learners’ Linguistic Input CONLL 2017
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests AISTATS 2017
Introspective Classification with Convolutional Nets NIPS 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? NIPS 2017
Bayesian Compression for Deep Learning NIPS 2017
Bingham Distribution-Based Linear Filter for Online Pose Estimation RSS 2017
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching NIPS 2017
Neural Expectation Maximization NIPS 2017
Surface Motion Capture Transfer With Gaussian Process Regression CVPR 2017
A Bayesian Data Augmentation Approach for Learning Deep Models NIPS 2017
VAE Learning via Stein Variational Gradient Descent NIPS 2017
Predicting Head Pose from Speech with a Conditional Variational Autoencoder INTERSPEECH 2017
Speaking Style Conversion from Normal to Lombard Speech Using a Glottal Vocoder and Bayesian GMMs INTERSPEECH 2017
Learning to Reconstruct 3D Structures for Occupancy Mapping RSS 2017
SSN_MLRG1 at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis Using Multiple Kernel Gaussian Process Regression Model SEMEVAL 2017
Domain Mismatch Modeling of Out-Domain i-Vectors for PLDA Speaker Verification INTERSPEECH 2017
On the Model Shrinkage Effect of Gamma Process Edge Partition Models NIPS 2017
Streaming Sparse Gaussian Process Approximations NIPS 2017