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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Bayesian Inference
4,821 papers
Papers per year
2001: 1
2002: 1
2003: 5
2004: 2
2005: 9
2006: 22
2007: 32
2008: 36
2009: 38
2010: 72
2011: 86
2012: 85
2013: 148
2014: 179
2015: 162
2016: 183
2017: 255
2018: 278
2019: 458
2020: 469
2021: 554
2022: 477
2023: 576
2024: 348
2025: 255
2026: 90
Papers
Weakly-Supervised Action Localization by Generative Attention Modeling
CVPR 2020
Improving Confidence Estimates for Unfamiliar Examples
CVPR 2020
Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes
CVPR 2020
Bundle Adjustment on a Graph Processor
CVPR 2020
Computing Valid P-Values for Image Segmentation by Selective Inference
CVPR 2020
KFNet: Learning Temporal Camera Relocalization Using Kalman Filtering
CVPR 2020
Data Uncertainty Learning in Face Recognition
CVPR 2020
Nonparametric Object and Parts Modeling With Lie Group Dynamics
CVPR 2020
Probabilistic Regression for Visual Tracking
CVPR 2020
Stochastic Classifiers for Unsupervised Domain Adaptation
CVPR 2020
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model
CVPR 2020
Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End
CVPR 2020
Density-Based Clustering for 3D Object Detection in Point Clouds
CVPR 2020
Probabilistic Video Prediction From Noisy Data With a Posterior Confidence
CVPR 2020
Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation
CVPR 2020
GP-NAS: Gaussian Process Based Neural Architecture Search
CVPR 2020
CARP: Compression Through Adaptive Recursive Partitioning for Multi-Dimensional Images
CVPR 2020
Learning Weighted Submanifolds With Variational Autoencoders and Riemannian Variational Autoencoders
CVPR 2020
Probabilistic Pixel-Adaptive Refinement Networks
CVPR 2020
Generating Diverse Translation from Model Distribution with Dropout
EMNLP 2020
A Bilingual Generative Transformer for Semantic Sentence Embedding
EMNLP 2020
Detecting Independent Pronoun Bias with Partially-Synthetic Data Generation
EMNLP 2020
Is the Best Better? Bayesian Statistical Model Comparison for Natural Language Processing
EMNLP 2020
Uncertainty-Aware Label Refinement for Sequence Labeling
EMNLP 2020
Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models
EMNLP 2020
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