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)
MANTA: Physics-Informed Generalized Underwater Object Tracking
WACV 2026
MapCoder-Lite: Distilling Multi-Agent Coding into a Single Small LLM
EACL 2026
MAPI-GNN: Multi-Activation Plane Interaction Graph Neural Network for Multimodal Medical Diagnosis
AAAI 2026
Map of Encoders – Mapping Sentence Encoders using Quantum Relative Entropy
ACL 2026
Mapping on a Budget: Optimizing Spatial Data Collection for ML
AAAI 2026
Mapping the Course for Prompt-based Structured Prediction
EACL 2026
MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference
EACL 2026
MAPS: A Multilingual Benchmark for Agent Performance and Security
EACL 2026
MAQuA: Multi-outcome Adaptive Question-Asking for Mental Health using Item Response Theory
EACL 2026
Marginalized Generalized IoU (MGIoU): A Unified Objective Function for Optimizing Convex Parametric Shapes
AAAI 2026
Margin-Aware Preference Optimization for Aligning Diffusion Models Without Reference
AAAI 2026
Margin in Abstract Spaces
COLT 2026
Marking Code Without Breaking It: Code Watermarking for Detecting LLM-Generated Code
EACL 2026
Markovian Compression: Looking to the Past Helps Accelerate the Future
UAI 2026
Markovian Linguistic-Temporal Bridge: Unlocking the Potential of LLMs for Time Series Forecasting
ACL 2026
Markovian Scale Prediction: A New Era of Visual Autoregressive Generation
CVPR 2026
MARS: a Multimodal Alignment and Ranking System for Few-Shot Segmentation
WACV 2026
Marshaled Learning: Bridging Large Neural Networks with Memory-Constrained Trusted Execution Environments in Federated Learning
WACV 2026
MARS: Multimodal Adaptive Reasoning Model for Avoiding Overthinking
AAAI 2026
MartDE: A Privacy-Preserving and Cost-Efficient Evaluation Framework for Data Marketplaces
AAAI 2026
Martingale Foresight Sampling: A Principled Approach to Inference-Time LLM Decoding
EACL 2026
MaskAD: Parallel Masked Autoencoder for Multi-class Unsupervised Anomaly Detection
AAAI 2026
MaskAnyNet: Rethinking Masked Image Regions as Valuable Information in Supervised Learning
AAAI 2026
Masked Clustering Prediction for Unsupervised Point Cloud Pre-training
AAAI 2026
Masked Mineral Modeling: Continent-Scale Mineral Prospecting via Geospatial Infilling
AAAI 2026