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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)

Semantic-Aware Feature Enhancement for Partial Label Learning AAAI 2026 Semantic-Consistent Bidirectional Contrastive Hashing for Noisy Multi-Label Cross-Modal Retrieval AAAI 2026 Semantic-Driven Visual Progressive Refinement for Aerial-Ground Person ReID: A Challenging Large-Scale Benchmark AAAI 2026 Semantic Echo Pathways (SEP): Tracing How Medical Language Propagates and Transforms EACL 2026 Semantic Embedding and Synthetic Augmentation for Longitudinal Survey Prediction (Student Abstract) AAAI 2026 Semantic Factor Analysis: Validating Personality Structure Recovery from empirically-mediated Word Embeddings EACL 2026 Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models EACL 2026 SemCSE-Multi: Multifaceted and Decodable Embeddings for Aspect-Specific and Interpretable Scientific Domain Mapping ACL 2026 SEMC: Structure-Enhanced Mixture-of-Experts Contrastive Learning for Ultrasound Standard Plane Recognition AAAI 2026 Semi-Supervised Hierarchical Open-Set Classification WACV 2026 Semi-supervised learning for linear extremile regression JMLR 2026 Semi-Supervised Regression by Preserving Ranking Relationships Between Close Unlabeled Samples AAAI 2026 Semi-Supervised Synthetic Data Generation with Fine-Grained Relevance Control for Short Video Search Relevance Modeling AAAI 2026 Separating Oblivious and Adaptive Models of Variable Selection (Extended Abstract) COLT 2026 Sequence Repetition Enhances Token Embeddings and Improves Sequence Labeling with Decoder-only Language Models EACL 2026 SFGA: Similarity-Constrained Fusion Learning for Unsupervised Anomaly Detection in Multiplex Graphs AAAI 2026 SGP4SR: Separated-Modality Guided User Preference Learning for Multimodal Sequential Recommendation AAAI 2026 Shallow Neural Networks Learn Low-Degree Spherical Polynomials with Feature Learning by Learnable Channel Attention ALT 2026 SHaSaM: Submodular Hard Sample Mining for Fair Facial Attribute Recognition WACV 2026 Signal Enhancement via Multi-view Dynamic Representation and Alignment-aware Fusion AAAI 2026 Similarity-aware Probabilistic Embeddings Modeling for Video-Text Retrieval WACV 2026 SimLabel: Similarity-Weighted Semi-supervision for Multi-annotator Learning with Missing Labels AAAI 2026 Simplex-to-Euclidean Bijection for Conjugate and Calibrated Multiclass Gaussian Process Classification UAI 2026 Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach AAAI 2026 Skeletons Speak Louder than Text: A Motion-Aware Pretraining Paradigm for Video-Based Person Re-Identification AAAI 2026