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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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'25

Papers (including subtopics)

Sparse Autoencoder Features for Classifications and Transferability EMNLP 2025 Sparse Autoencoders, Again? ICML 2025 Sparse Autoencoders for Hypothesis Generation ICML 2025 Sparse components distinguish visual pathways & their alignment to neural networks ICLR 2025 Sparse Fine-Tuning of Transformers for Generative Tasks ICCV 2025 Sparse Latents Steer Retrieval-Augmented Generation ACL 2025 Sparse Neurons Carry Strong Signals of Question Ambiguity in LLMs EMNLP 2025 SparseRecon: Neural Implicit Surface Reconstruction from Sparse Views with Feature and Depth Consistencies ICCV 2025 Sparse Semiparametric Discriminant Analysis for High-dimensional Zero-inflated Data JMLR 2025 Sparse SVM with Hard-Margin Loss: a Newton-Augmented Lagrangian Method in Reduced Dimensions JMLR 2025 Spatial Clustering of Citizen Science Data Improves Downstream Species Distribution Models AAAI 2025 SpatialLLM: A Compound 3D-Informed Design towards Spatially-Intelligent Large Multimodal Models CVPR 2025 Spatially-Adaptive Hash Encodings for Neural Surface Reconstruction WACV 2025 Spatially Resolved Transcriptomics Data Clustering with Tailored Spatial-scale Modulation IJCAI 2025 Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation CVPR 2025 Spatial-Temporal Heterogenous Graph Contrastive Learning for Microservice Workload Prediction AAAI 2025 Spatio-Spectral Pattern Illumination for Direct and Indirect Separation from a Single Hyperspectral Image ICCV 2025 Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting AAAI 2025 Spatiotemporal Blind-Spot Network with Calibrated Flow Alignment for Self-Supervised Video Denoising AAAI 2025 Spatio-temporal Prototype-based Hierarchical Learning for OD Demand Prediction IJCAI 2025 Speaker Diarization with Overlapping Community Detection Using Graph Attention Networks and Label Propagation Algorithm Interspeech 2025 Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations NAACL 2025 Specifying What You Know or Not for Multi-Label Class-Incremental Learning AAAI 2025 Spectral-Aware Reservoir Computing for Fast and Accurate Time Series Classification ICML 2025 Spectral Informed Mamba for Robust Point Cloud Processing CVPR 2025