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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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'15
'20
'25

Papers (including subtopics)

GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent AAAI 2024 GRADUAL: Granularity-aware Dual Prototype Learning for Better Few-Shot Relation Extraction ACL 2024 Gradual Optimization Learning for Conformational Energy Minimization ICLR 2024 GraFITi: Graphs for Forecasting Irregularly Sampled Time Series AAAI 2024 Gramformer: Learning Crowd Counting via Graph-Modulated Transformer AAAI 2024 Grammatical Error Correction for Code-Switched Sentences by Learners of English COLING 2024 GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data ICLR 2024 GRANOLA: Adaptive Normalization for Graph Neural Networks NeurIPS 2024 Granular Analysis of Social Media Users’ Truthfulness Stances Toward Climate Change Factual Claims ACL 2024 Graph Anomaly Detection via Prototype-Aware Label Propagation (Student Abstract) AAAI 2024 Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract) AAAI 2024 Graph As Point Set ICML 2024 Graph-based Clustering for Detecting Semantic Change Across Time and Languages EACL 2024 Graph-based Uncertainty Metrics for Long-form Language Model Generations NeurIPS 2024 Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models NeurIPS 2024 Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations ICLR 2024 Graph Classification via Reference Distribution Learning: Theory and Practice NeurIPS 2024 Graph Clustering Methods Derived from Column Subset Selection (Student Abstract) AAAI 2024 Graphcode: Learning from multiparameter persistent homology using graph neural networks NeurIPS 2024 Graph Context Transformation Learning for Progressive Correspondence Pruning AAAI 2024 Graph Contrastive Invariant Learning from the Causal Perspective AAAI 2024 Graph Contrastive Learning with Reinforcement Augmentation IJCAI 2024 Graph Convolutions Enrich the Self-Attention in Transformers! NeurIPS 2024 GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction NeurIPS 2024 Graph Edit Distance with General Costs Using Neural Set Divergence NeurIPS 2024