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)
AdaJudge: Adaptive Multi-Perspective Judging for Reward Modeling
ACL 2026
AdaMCoT: Rethinking Cross-Lingual Factual Reasoning Through Adaptive Multilingual Chain-of-Thought
AAAI 2026
Adam’s Law: Textual Frequency Law on Large Language Models
ACL 2026
AdaPrior: Bayesian-Inspired Adaptive Prior Correction for Long-Tailed Continual Learning
CVPR 2026
Adapt-As-You-Walk Through the Clouds: Training-Free Online Test-Time Adaptation of 3D Vision-Language Foundation Models
AAAI 2026
Adapt Before Continual Learning
AAAI 2026
AdaptBPE: From General Purpose to Specialized Tokenizers
EACL 2026
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection
AAAI 2026
Adapting Point Cloud Analysis via Multimodal Bayesian Distribution Learning
CVPR 2026
Adapting Vision-Language Models for E-commerce Understanding at Scale
EACL 2026
Adapting World Models with Latent-State Dynamics Residuals
L4DC 2026
Adaptive and Asymptotic Mean-based Subclass Discriminant Analysis
AAAI 2026
Adaptive and Context-rich Generative Self-supervised Learning on Graphs
AAAI 2026
Adaptive and Robust Watermark for Generative Tabular Data
UAI 2026
Adaptive Compute Efficient Learning via Conceptual-Criticality (Student Abstract)
AAAI 2026
Adaptive Coreset Selection via Uncertainty-Density for Efficient Spam Detection (Student Abstract)
AAAI 2026
Adaptive Cumulative Mass Calibration with Conformal Prediction
UAI 2026
Adaptive Data Augmentation with Multi-armed Bandit: Sample-Efficient Embedding Calibration for Implicit Pattern Recognition
CVPR 2026
Adaptive Data Flywheel: Applying MAPE Control Loops to AI Agent Improvement
EACL 2026
Adaptive Diffusion-based Augmentation for Recommendation
AAAI 2026
Adaptive Dynamic Dehazing via Instruction-Driven and Task-Feedback Closed-Loop Optimization for Diverse Downstream Task Adaptation
AAAI 2026
Adaptive Evidential Learning for Temporal-Semantic Robustness in Moment Retrieval
AAAI 2026
Adaptive Evolutionary Fusion for Multi-View Clustering
AAAI 2026
Adaptive Fidelity Estimation for Quantum Programs with Graph-Guided Noise Awareness
AAAI 2026
Adaptive Forward Stepwise: A Method for High Sparsity Regression
JMLR 2026