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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
51
357
966
4,853
5,823
2000
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Papers (including subtopics)

Scalable Video Action Anticipation with Cross Linear Attentive Memory WACV 2026 Scalable Vision-Guided Crop Yield Estimation AAAI 2026 SCAN: Self-Calibrated AutoregressioN for High-Quality Visual Generation AAAI 2026 scCluBench: Comprehensive Benchmarking of Clustering Algorithms for Single-Cell RNA Sequencing AAAI 2026 SCIR: A Self-Correcting Iterative Refinement Framework for Enhanced Information Extraction Based on Schema AAAI 2026 SC-Net: Robust Correspondence Learning via Spatial and Cross-Channel Context AAAI 2026 SCoNE: Spherical Consistent Neighborhoods Ensemble for Effective and Efficient Multi-View Anomaly Detection AAAI 2026 Score-Based Model for Low-Rank Tensor Recovery AAAI 2026 SCOUT: Selective Coupling via Optimal Unbalanced Transport for Interpretable Text Classification ACL 2026 Second-Order Bounds for $[0,1]$-Valued Regression via Betting Loss COLT 2026 Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning AAAI 2026 SegGBC: Justifiable Coarse-to-Fine Granular-Ball Computing for Enhancing Clustering Image Segmentation CVPR 2026 SegMango: Early Deep Mango Yield Prediction based on Flower Segmentation and Weather Data WACV 2026 Segment Anything Across Shots: A Method and Benchmark AAAI 2026 SegMo: Segment-aligned Text to 3D Human Motion Generation WACV 2026 SELDON: Supernova Explosions Learned by Deep ODE Networks AAAI 2026 Select, Hypothesize and Verify: Towards Verified Neuron Concept Interpretation CVPR 2026 Selection of LLM Fine-Tuning Data Based on Orthogonal Rules AAAI 2026 Self-Attention Driven Tensor Representation for High-Order Data Recovery CVPR 2026 Self-Enhanced Image Clustering with Cross-Modal Semantic Consistency AAAI 2026 Self-Improving Sparse Retrieval Through Heuristic Representation Refinement and Representation-Focused Learning AAAI 2026 Self-Normalized Martingales and Uniform Regret Bounds for Linear Regression COLT 2026 Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification AAAI 2026 Self-Supervised Cross-City Trajectory Representation Learning Based on Meta-Learning AAAI 2026 Semantic-Augmented Image Clustering via Adaptive Multi-Modal Collaboration AAAI 2026