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Methodology
← Bayesian & Probabilistic
Machine Learning
›
Bayesian & Probabilistic
›
Probabilistic Modeling
1884 directly classified papers
Papers per year
2002: 1
2003: 6
2004: 3
2005: 5
2006: 49
2007: 50
2008: 36
2009: 45
2010: 77
2011: 48
2012: 101
2013: 122
2014: 107
2015: 46
2016: 91
2017: 93
2018: 125
2019: 127
2020: 182
2021: 113
2022: 136
2023: 105
2024: 145
2025: 70
2026: 1
Papers
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks
NIPS 2013
A Kernel Test for Three-Variable Interactions
NIPS 2013
A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles
NIPS 2013
Inferring neural population dynamics from multiple partial recordings of the same neural circuit
NIPS 2013
Tracking People and Their Objects
CVPR 2013
Probabilistic Label Trees for Efficient Large Scale Image Classification
CVPR 2013
Procrustean Normal Distribution for Non-rigid Structure from Motion
CVPR 2013
Probabilistic Elastic Matching for Pose Variant Face Verification
CVPR 2013
Scene Parsing by Integrating Function, Geometry and Appearance Models
CVPR 2013
Hallucinated Humans as the Hidden Context for Labeling 3D Scenes
CVPR 2013
Image Understanding from Experts' Eyes by Modeling Perceptual Skill of Diagnostic Reasoning Processes
CVPR 2013
A Lazy Man's Approach to Benchmarking: Semisupervised Classifier Evaluation and Recalibration
CVPR 2013
A Higher-Order CRF Model for Road Network Extraction
CVPR 2013
Fully-Connected CRFs with Non-Parametric Pairwise Potential
CVPR 2013
Layer Depth Denoising and Completion for Structured-Light RGB-D Cameras
CVPR 2013
A Video Representation Using Temporal Superpixels
CVPR 2013
Recovering Line-Networks in Images by Junction-Point Processes
CVPR 2013
Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel
NIPS 2013
When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity
NIPS 2013
Bayesian Hierarchical Community Discovery
NIPS 2013
Inverse Density as an Inverse Problem: the Fredholm Equation Approach
NIPS 2013
Embed and Project: Discrete Sampling with Universal Hashing
NIPS 2013
Similarity Component Analysis
NIPS 2013
Spectral methods for neural characterization using generalized quadratic models
NIPS 2013
Sparse Inverse Covariance Estimation with Calibration
NIPS 2013
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