Core Methods
51,083 papers (8 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (22,308)
Classification (15,497)
Regression (5,281)
Clustering (3,809)
Embedding Learning (3,795)
Metric Learning (2,938)
Graph Neural Networks (1,211)
Graphical Models (1,093)
Feature Learning (891)
Kernel Methods (795)
Dimensionality Reduction (780)
Interpretability (512)
Feature Selection (511)
Matrix Factorization (408)
Ranking (315)
Ensemble Methods (300)
Support Vector Machine (295)
Anomaly Detection (281)
Sequence Modeling (244)
Structured Prediction (237)
Sequence Labeling (157)
Topic Modeling (150)
Sparse Coding (140)
Matrix Completion (131)
Neural Networks (114)
Retrieval (105)
Density Estimation (104)
Estimation (83)
Inference (56)
Decision Tree (50)
Feature Extraction (40)
Model Selection (39)
Prediction (35)
Information Extraction (7)
Papers per year
4
21
30
55
40
51
225
219
249
257
357
364
480
942
818
966
1,394
2,092
3,114
4,415
4,853
5,064
5,371
5,992
6,412
5,823
1,475
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Making Transformer Decoders Better Differentiable Indexers
ICLR 2025
MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection
AAAI 2025
Mamba-3VL: Taming State Space Model for 3D Vision Language Learning
ICCV 2025
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
IJCAI 2025
MambaML: Exploring State Space Models for Multi-Label Image Classification
ICCV 2025
ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training
CoRL 2025
Manifold Fitting under Unbounded Noise
JMLR 2025
MANTA: Diffusion Mamba for Efficient and Effective Stochastic Long-Term Dense Action Anticipation
CVPR 2025
Manual2Skill: Learning to Read Manuals and Acquire Robotic Skills for Furniture Assembly Using Vision-Language Models
RSS 2025
MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation
ACL 2025
Mapping 1,000+ Language Models via the Log-Likelihood Vector
ACL 2025
Mapping Cross-Lingual Sentence Representations for Low-Resource Language Pairs Using Pre-trained Language Models
COLING 2025
Mapping Hymns and Organizing Concepts in the Rigveda: Quantitatively Connecting the Vedic Suktas
NAACL 2025
Mapping semantic networks to Dutch word embeddings as a diagnostic tool for cognitive decline
EMNLP 2025
Mapping Toxic Comments Across Demographics: A Dataset from German Public Broadcasting
EMNLP 2025
MARK: Multi-agent Collaboration with Ranking Guidance for Text-attributed Graph Clustering
ACL 2025
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning
AAAI 2025
MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems
AAAI 2025
MarkushGrapher: Joint Visual and Textual Recognition of Markush Structures
CVPR 2025
Marrying LLMs with Dynamic Forecasting: A Graph Mixture-of-expert Perspective
NAACL 2025
Marten: Visual Question Answering with Mask Generation for Multi-modal Document Understanding
CVPR 2025
MASH-VLM: Mitigating Action-Scene Hallucination in Video-LLMs through Disentangled Spatial-Temporal Representations
CVPR 2025
MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking
IJCAI 2025
Masked Autoencoders Are Effective Tokenizers for Diffusion Models
ICML 2025
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis
AAAI 2025