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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)

NN-Former: Rethinking Graph Structure in Neural Architecture Representation CVPR 2025 Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning ICLR 2025 Node Similarities under Random Projections: Limits and Pathological Cases ICLR 2025 No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs ICLR 2025 Noise-Guided Predicate Representation Extraction and Diffusion-Enhanced Discretization for Scene Graph Generation ICML 2025 NoiseHGNN: Synthesized Similarity Graph-Based Neural Network for Noised Heterogeneous Graph Representation Learning AAAI 2025 Noise-powered Multi-modal Knowledge Graph Representation Framework COLING 2025 Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning IJCAI 2025 Noise-Resistant Video Anomaly Detection via RGB Error-Guided Multiscale Predictive Coding and Dynamic Memory CVPR 2025 Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning ICLR 2025 Noisy Correspondence Rectification via Asymmetric Similarity Learning AAAI 2025 Noisy Label Calibration for Multi-View Classification AAAI 2025 Noisy Low-Rank Matrix Completion via Transformed L_1 Regularization and its Theoretical Properties AISTATS 2025 Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation AAAI 2025 NoLiMa: Long-Context Evaluation Beyond Literal Matching ICML 2025 Nonlinear functional regression by functional deep neural network with kernel embedding JMLR 2025 Nonlinear Sequence Embedding by Monotone Variational Inequality ICLR 2025 Nonlinear transformers can perform inference-time feature learning ICML 2025 Non-Natural Image Understanding with Advancing Frequency-based Vision Encoders CVPR 2025 Nonparametric Bayesian inference of item-level features in classifier combination UAI 2025 Nonparametric Bayesian Multi-Facet Clustering for Longitudinal Data UAI 2025 Non-parametric Conditional Independence Testing for Mixed Continuous-Categorical Variables: A Novel Method and Numerical Evaluation CLeaR 2025 Nonparametric estimation of Hawkes processes with RKHSs AISTATS 2025 Nonparametric Factor Analysis and Beyond AISTATS 2025 Nonparametric Identification of Latent Concepts ICML 2025