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
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Papers (including subtopics)
PromptMoE: Generalizable Zero-Shot Anomaly Detection via Visually-Guided Prompt Mixtures
AAAI 2026
promptolution: A Unified, Modular Framework for Prompt Optimization
EACL 2026
Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation
WACV 2026
Proof Systems for Tensor-based Model Counting
AAAI 2026
Proof Systems That Tightly Characterise Model Counting Algorithms
AAAI 2026
ProPhy: Progressive Physical Alignment for Dynamic World Simulation
CVPR 2026
ProPL: Universal Semi-Supervised Ultrasound Image Segmentation via Prompt-Guided Pseudo-Labeling
AAAI 2026
ProRefine: Inference-Time Prompt Refinement with Textual Feedback (Student Abstract)
AAAI 2026
ProSkill: Segment-Level Skill Assessment in Procedural Videos
WACV 2026
Prosody as Supervision: Bridging the Non-Verbal–Verbal for Multilingual Speech Emotion Recognition
ACL 2026
ProtoGMVAE: A Variational Auto-Encoder with True Gaussian Mixture Prior for Prototypical-based Self-Explainability
WACV 2026
Prototype-Based Semantic Consistency Alignment for Domain Adaptive Retrieval
AAAI 2026
Prototype-Driven Active Domain Adaptation with Density Consideration
AAAI 2026
Prototype Entropy Alignment: Reinforcing Structured Uncertainty in LLM Reasoning
AAAI 2026
Prototype-Guided Supervision for Graph Learning with Noisy and Sparse Labels
AAAI 2026
ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse Autoencoders
AAAI 2026
Provable Guarantees For Robust Feature Selection in Sparse Linear Models in High-Dimensions
UAI 2026
Provable Learning of Random Hierarchy Models and Hierarchical Shallow-to-Deep Chaining
COLT 2026
Provable Subspace Identification of Nonlinear Multi-view CCA
UAI 2026
Provably Correct k-Means Clustering of Persistence Diagrams
UAI 2026
Provably Data-Driven Projection Method for Quadratic Programming
AAAI 2026
Provably Efficient Personalized Multi-Objective Bandits with Proactive Conversational Queries
UAI 2026
Provably Efficient Reinforcement Learning in Continuous-Time Episodic MDPs with Poisson Decision Epochs
UAI 2026
Provably Safe Stein Variational Clarity-Aware Informative Planning
L4DC 2026
Proximal Identification and Estimation in Front-Door Causal Structures with Unobserved Confounding of the Mediator
UAI 2026