Machine Learning
132,800 papers (10 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
5
22
43
74
52
76
308
315
348
358
533
570
711
1,481
1,361
1,651
2,440
3,865
5,968
9,301
11,133
13,312
14,452
17,500
20,351
21,167
5,403
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Probabilistic Explanations for Linear Models
AAAI 2025
Probabilistic Explanations for Regression Models
UAI 2025
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows
AAAI 2025
Probabilistic Geometric Principal Component Analysis with application to neural data
ICLR 2025
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs
UAI 2025
Probabilistic Group Mask Guided Discrete Optimization for Incremental Learning
ICML 2025
Probabilistic Inertial Poser (ProbIP): Uncertainty-aware Human Motion Modeling from Sparse Inertial Sensors
ICCV 2025
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes
ICML 2025
Probabilistic Language-Image Pre-Training
ICLR 2025
Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution
ICLR 2025
Probabilistic Neural Pruning via Sparsity Evolutionary Fokker-Planck-Kolmogorov Equation
ICLR 2025
Probabilistic Prompt Distribution Learning for Animal Pose Estimation
CVPR 2025
Probabilistic Prototype Calibration of Vision-language Models for Generalized Few-shot Semantic Segmentation
ICCV 2025
Probabilistic Satisfaction of Temporal Logic Constraints in Reinforcement Learning via Adaptive Policy-Switching
L4DC 2025
Probabilistic Semantics Guided Discovery of Approximate Functional Dependencies
UAI 2025
Probabilistic Shielding for Safe Reinforcement Learning
AAAI 2025
Probabilistic Soundness Guarantees in LLM Reasoning Chains
EMNLP 2025
Probability-Consistent Preference Optimization for Enhanced LLM Reasoning
ACL 2025
Probability-Density-aware Semi-supervised Learning
AAAI 2025
Probability Density Geodesics in Image Diffusion Latent Space
CVPR 2025
Probability Distribution Collapse: A Critical Bottleneck to Compact Unsupervised Neural Grammar Induction
EMNLP 2025
Probability-Raising Causality for Uncertain Parametric Markov Decision Processes with PAC Guarantees
UAI 2025
Probably Approximately Global Robustness Certification
ICML 2025
Probe-Free Low-Rank Activation Intervention
NAACL 2025
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
ICLR 2025