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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
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule
CVPR 2022
Learning Bayesian Sparse Networks With Full Experience Replay for Continual Learning
CVPR 2022
Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection
CVPR 2022
A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration
CVPR 2022
Learning Structured Gaussians To Approximate Deep Ensembles
CVPR 2022
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering
CVPR 2022
Self-Supervised Deep Image Restoration via Adaptive Stochastic Gradient Langevin Dynamics
CVPR 2022
The Neurally-Guided Shape Parser: Grammar-Based Labeling of 3D Shape Regions With Approximate Inference
CVPR 2022
Split Hierarchical Variational Compression
CVPR 2022
Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression
CVPR 2022
Contrastive Learning for Space-Time Correspondence via Self-Cycle Consistency
CVPR 2022
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning
CVPR 2022
Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation
CVPR 2022
Gaussian Process Modeling of Approximate Inference Errors for Variational Autoencoders
CVPR 2022
Infinite SCAN: An Infinite Model of Diachronic Semantic Change
EMNLP 2022
Calibrating Zero-shot Cross-lingual (Un-)structured Predictions
EMNLP 2022
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field
EMNLP 2022
Hierarchical Phrase-Based Sequence-to-Sequence Learning
EMNLP 2022
Disentangling Uncertainty in Machine Translation Evaluation
EMNLP 2022
Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention
EMNLP 2022
Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation
EMNLP 2022
Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space
EMNLP 2022
CausalNLP Tutorial: An Introduction to Causality for Natural Language Processing
EMNLP 2022
RL with KL penalties is better viewed as Bayesian inference
EMNLP 2022
Sequential Topic Selection Model with Latent Variable for Topic-Grounded Dialogue
EMNLP 2022
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