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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
'5
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'25

Papers (including subtopics)

Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes ICML 2024 Self-Calibrating Conformal Prediction NeurIPS 2024 Self-Calibrating Vicinal Risk Minimisation for Model Calibration CVPR 2024 Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy ACL 2024 Self-generated Replay Memories for Continual Neural Machine Translation NAACL 2024 Self-Guided Masked Autoencoder NeurIPS 2024 Self-Knowledge Distillation for Knowledge Graph Embedding COLING 2024 Self-Labeling the Job Shop Scheduling Problem NeurIPS 2024 Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification AAAI 2024 Self-Para-Consistency: Improving Reasoning Tasks at Low Cost for Large Language Models ACL 2024 Self-Regulated Sample Diversity in Large Language Models NAACL 2024 Self-StrAE at SemEval-2024 Task 1: Making Self-Structuring AutoEncoders Learn More With Less SemEval 2024 Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels NeurIPS 2024 Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation ICML 2024 Self-supervised Debiasing Using Low Rank Regularization CVPR 2024 Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction AAAI 2024 Self-Supervised Dual Contouring CVPR 2024 Self-Supervised Facial Representation Learning with Facial Region Awareness CVPR 2024 Self-Supervised Framework Based on Subject-Wise Clustering for Human Subject Time Series Data AAAI 2024 Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View ICLR 2024 Self-Supervised Learning for Enhancing Spatial Awareness in Free-Hand Sketches IJCAI 2024 Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment ICLR 2024 Self-supervised Representation Learning from Random Data Projectors ICLR 2024 Self-Supervised Representation Learning With Cross-Context Learning Between Global and Hypercolumn Features WACV 2024 Self-Supervised Representation Learning with Meta Comprehensive Regularization AAAI 2024