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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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'25

Papers (including subtopics)

GDA: Grammar-based Data Augmentation for Text Classification using Slot Information EMNLP 2023 GEASS: Neural causal feature selection for high-dimensional biological data ICLR 2023 “Geen makkie”: Interpretable Classification and Simplification of Dutch Text Complexity ACL 2023 Gender Biases in Automatic Evaluation Metrics for Image Captioning EMNLP 2023 GeneCIS: A Benchmark for General Conditional Image Similarity CVPR 2023 General Covariance Data Augmentation for Neural PDE Solvers ICML 2023 Generalised f-Mean Aggregation for Graph Neural Networks NeurIPS 2023 Generalist: Decoupling Natural and Robust Generalization CVPR 2023 Generalizable One-shot 3D Neural Head Avatar NeurIPS 2023 Generalization Analysis for Contrastive Representation Learning ICML 2023 Generalization Bounds for Adversarial Metric Learning IJCAI 2023 Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings AAAI 2023 Generalization error bounds for multiclass sparse linear classifiers JMLR 2023 Generalization on the Unseen, Logic Reasoning and Degree Curriculum ICML 2023 Generalized Category Discovery with Decoupled Prototypical Network AAAI 2023 Generalized Cell Type Annotation and Discovery for Single-Cell RNA-Seq Data AAAI 2023 Generalized Discriminative Deep Non-Negative Matrix Factorization Based on Latent Feature and Basis Learning IJCAI 2023 Generalized equivalences between subsampling and ridge regularization NeurIPS 2023 Generalized Information-theoretic Multi-view Clustering NeurIPS 2023 Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data JMLR 2023 Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks ICLR 2023 Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy AISTATS 2023 Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost ICML 2023 Generalized Sum Pooling for Metric Learning ICCV 2023 Generalized test utilities for long-tail performance in extreme multi-label classification NeurIPS 2023