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)
Robust Scene Coordinate Regression via Geometrically-Consistent Global Descriptors
WACV 2026
Robust SDE Parameter Estimation Under Missing Time Information Setting
AAAI 2026
Robust Watermarking on Gradient Boosting Decision Trees
AAAI 2026
RoSE: A Role Correlation Structure-Enhanced Model for Multi-Event Argument Extraction
AAAI 2026
R-R at AbjadAuthorID Shared Task: A Fine-Tuned Approach for Kurdish Authorship Identification
EACL 2026
RTMol: Rethinking Molecule-text Alignment in a Round-trip View
AAAI 2026
R-Tuning: Wavelet-Decomposed Replay and Semantic Alignment for Continual Adaptation of Pretrained Time-Series Models
AAAI 2026
RUL-QMoE: Multiple Non-crossing Quantile Mixture-of-Experts for Probabilistic Remaining Useful Life Predictions of Varying Battery Materials
AAAI 2026
S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning
AAAI 2026
S³: Spiking Neurons as an Isolating Segmenter for Brain Signal Decoding
AAAI 2026
SAC-Diff: A Scan-Aware Consistency-Enhanced Diffusion Framework for Unsupervised Chest CT Anomaly Detection
MIDL 2026
SACodec: Asymmetric Quantization with Semantic Anchoring for Low-Bitrate High-Fidelity Neural Speech Codecs
AAAI 2026
SACO: Sequence-Aware Constrained Optimization Framework for Coupon Distribution in E-commerce
AAAI 2026
SAGE: Structured Attribute-Guided Enhancement for GZSL
AAAI 2026
Sample-and-Search: An Effective Algorithm for Learning-Augmented k-Median Clustering in High Dimensions
AAAI 2026
Sample-Near-Optimal Agnostic Boosting with Improved Running Time
ALT 2026
Sample Weighted Incomplete Multimodal Clustering Based on Graph Coarsening Label Extraction
AAAI 2026
Sampling Control for Imbalanced Calibration in Semi-Supervised Learning
AAAI 2026
SAR-DisentDM: A Semantic-Disentangled Diffusion Model for Limited-Data SAR Image Synthesis
AAAI 2026
SasMamba: A Lightweight Structure-Aware Stride State Space Model for 3D Human Pose Estimation
WACV 2026
SASNet: Spatially-Adaptive Sinusoidal Networks for INRs
CVPR 2026
Scalable Air-Quality Sensor Placement via Gradient-Based Mutual Information Maximization
AAAI 2026
Scalable Model-Assisted Multi-Target Estimation in Large Image Collections
UAI 2026
Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation
AAAI 2026
Scalable Multi-View Subspace Clustering with Tensorized Anchor Guidance
CVPR 2026