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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)

Effectively Leveraging Attributes for Visual Similarity ICCV 2021 Effective Meta-Regularization by Kernelized Proximal Regularization NeurIPS 2021 Effective Use of Graph Convolution Network and Contextual Sub-Tree for Commodity News Event Extraction EMNLP 2021 Effects of Feature Scaling and Fusion on Sign Language Translation Interspeech 2021 Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection EACL 2021 Efficient Active Learning for Gaussian Process Classification by Error Reduction NeurIPS 2021 Efficient Algorithms for Learning from Coarse Labels COLT 2021 Efficient and Accurate Gradients for Neural SDEs NeurIPS 2021 Efficient and Local Parallel Random Walks NeurIPS 2021 Efficient Classification with Adaptive KNN AAAI 2021 Efficient Conformal Prediction via Cascaded Inference with Expanded Admission ICLR 2021 Efficient Designs Of SLOPE Penalty Sequences In Finite Dimension AISTATS 2021 Efficient Explanations from Empirical Explainers EMNLP 2021 Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging NeurIPS 2021 Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations ICML 2021 Efficient Learning of Discrete-Continuous Computation Graphs NeurIPS 2021 Efficiently Identifying Task Groupings for Multi-Task Learning NeurIPS 2021 Efficiently Learning One Hidden Layer ReLU Networks From Queries NeurIPS 2021 Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement EMNLP 2021 Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature Similarity EMNLP 2021 Efficient Nearest Neighbor Language Models EMNLP 2021 Efficient online inference for nonparametric mixture models UAI 2021 Efficient Online Learning for Dynamic k-Clustering ICML 2021 Efficient Passage Retrieval with Hashing for Open-domain Question Answering ACL 2021 Efficient Robust Music Genre Classification with Depthwise Separable Convolutions and Source Separation AAAI 2021