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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)

Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field ACL 2023 Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery CVPR 2023 Modeling Legal Reasoning: LM Annotation at the Edge of Human Agreement EMNLP 2023 Modeling Readers’ Appreciation of Literary Narratives Through Sentiment Arcs and Semantic Profiles ACL 2023 Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional Networks ACL 2023 Modeling Video As Stochastic Processes for Fine-Grained Video Representation Learning CVPR 2023 Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder NeurIPS 2023 Modelling the Reduplicating Lushootseed Morphology with an FST and LSTM ACL 2023 Model Spider: Learning to Rank Pre-Trained Models Efficiently NeurIPS 2023 Moderate Coreset: A Universal Method of Data Selection for Real-world Data-efficient Deep Learning ICLR 2023 MoDi: Unconditional Motion Synthesis From Diverse Data CVPR 2023 Modular Memorability: Tiered Representations for Video Memorability Prediction CVPR 2023 Modular Regression: Improving Linear Models by Incorporating Auxiliary Data JMLR 2023 Modulated Neural ODEs NeurIPS 2023 MoEC: Mixture of Expert Clusters AAAI 2023 mOKB6: A Multilingual Open Knowledge Base Completion Benchmark ACL 2023 Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting UAI 2023 Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion NeurIPS 2023 Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs AAAI 2023 MolGrapher: Graph-based Visual Recognition of Chemical Structures ICCV 2023 MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation IJCAI 2023 MomentDiff: Generative Video Moment Retrieval from Random to Real NeurIPS 2023 Moment Matching Denoising Gibbs Sampling NeurIPS 2023 Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps ICML 2023 Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap AAAI 2023