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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
'10
'15
'20
'25

Papers (including subtopics)

On Measuring Long-Range Interactions in Graph Neural Networks ICML 2025 On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls JMLR 2025 On Neural BRDFs: A Thorough Comparison of State-of-the-Art Approaches WACV 2025 On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems AAAI 2025 On Probabilistic Embeddings in Optimal Dimension Reduction JMLR 2025 On Relation-Specific Neurons in Large Language Models EMNLP 2025 On Support Samples of Next Word Prediction ACL 2025 On Temperature Scaling and Conformal Prediction of Deep Classifiers ICML 2025 On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory JMLR 2025 On the Acquisition of Shared Grammatical Representations in Bilingual Language Models ACL 2025 On the Adversarial Robustness of Multi-Kernel Clustering ICML 2025 On the Analysis and Distillation of Emergent Outlier Properties in Pre-trained Language Models NAACL 2025 On the Approximation of Kernel functions JMLR 2025 On the Benefits of Active Data Collection in Operator Learning ICML 2025 On the Benefits of Attribute-Driven Graph Domain Adaptation ICLR 2025 On the Correspondence between the Squared Norm and Information Content in Text Embeddings EMNLP 2025 On the Expressiveness and Length Generalization of Selective State Space Models on Regular Languages AAAI 2025 On the Expressive Power of Sparse Geometric MPNNs ICLR 2025 On the Feasibility of In-Context Probing for Data Attribution NAACL 2025 On the Feature Learning in Diffusion Models ICLR 2025 On-the-Fly Object-aware Representative Point Selection in Point Cloud WACV 2025 On the Fourier analysis in the SO(3) space : the EquiLoPO Network ICLR 2025 On the Generalization Ability of Next-Token-Prediction Pretraining ICML 2025 On the Guidance of Flow Matching ICML 2025 On the Impact of Noise in Differentially Private Text Rewriting NAACL 2025