conftrace_

maximum a posteriori

88 papers

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Also known as

MAP

Co-occurring keywords

bayesian inference (1907) map estimation (43) generative model (2892) convolutional neural network (4226) map inference (130) graphical model (864) diffusion model (3751) image restoration (1517) variational inference (2069) probabilistic modeling (852)

Papers

Speech Decomposition Based on a Hybrid Speech Model and Optimal Segmentation INTERSPEECH 2021
Solving Inverse Problems with a Flow-based Noise Model ICML 2021
Adaptive Consistency Prior Based Deep Network for Image Denoising CVPR 2021
A New Objective for Identification of Partially Observed Linear Time-Invariant Dynamical Systems from Input-Output Data L4DC 2021
Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring CVPR 2021
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction NIPS 2020
Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction EMNLP 2020
Xeggora: Exploiting Immune-to-Evidence Symmetries with Full Aggregation in Statistical Relational Models (Extended Abstract) IJCAI 2020
Neural Networks with Recurrent Generative Feedback NIPS 2020
If beam search is the answer, what was the question? EMNLP 2020
Convergence Rates of Gradient Descent and MM Algorithms for Bradley-Terry Models AISTATS 2020
Word Embedding as Maximum A Posteriori Estimation AAAI 2019
Computational Separations between Sampling and Optimization NIPS 2019
Partial Multi-Label Learning via Credible Label Elicitation AAAI 2019
Maximum a posteriori Speech Enhancement Based on Double Spectrum INTERSPEECH 2019
Dichromatic Model Based Temporal Color Constancy for AC Light Sources CVPR 2019
The Relative Complexity of Maximum Likelihood Estimation, MAP Estimation, and Sampling COLT 2019
Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity NIPS 2018
Bayesian Model Selection for Change Point Detection and Clustering ICML 2018
Learning a Discriminative Prior for Blind Image Deblurring CVPR 2018
Multi-value Rule Sets for Interpretable Classification with Feature-Efficient Representations NIPS 2018
Scaling the Poisson GLM to massive neural datasets through polynomial approximations NIPS 2018
Most Probable Explanations for Probabilistic Database Queries IJCAI 2017
When Does Label Propagation Fail? A View from a Network Generative Model IJCAI 2017
Simultaneous Trajectory Estimation and Planning via Probabilistic Inference RSS 2017