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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)

Learning Deep Hierarchical Features with Spatial Regularization for One-Class Facial Expression Recognition AAAI 2023 Learning Dense Correspondences between Photos and Sketches ICML 2023 Learning Descriptive Image Captioning via Semipermeable Maximum Likelihood Estimation NeurIPS 2023 Learning Dictionary for Visual Attention NeurIPS 2023 Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract) IJCAI 2023 Learning Discriminative Representations for Skeleton Based Action Recognition CVPR 2023 Learning Disentangled Representations for Natural Language Definitions EACL 2023 Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning NeurIPS 2023 Learning Dynamic Representations for Discourse Dependency Parsing EMNLP 2023 Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations NeurIPS 2023 Learning Energy-based Model via Dual-MCMC Teaching NeurIPS 2023 Learning Event-aware Measures for Event Coreference Resolution ACL 2023 Learning Fair Graph Representations via Automated Data Augmentations ICLR 2023 Learning Fast and Slow for Online Time Series Forecasting ICLR 2023 Learning from Low Rank Tensor Data: A Random Tensor Theory Perspective UAI 2023 Learning from Multiple Sources for Data-to-Text and Text-to-Data AISTATS 2023 Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection NeurIPS 2023 Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition ICCV 2023 Learning from the Wisdom of Crowds: Exploiting Similar Sessions for Session Search AAAI 2023 Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features AAAI 2023 Learning Functional Transduction NeurIPS 2023 Learning Gaussian Mixture Representations for Tensor Time Series Forecasting IJCAI 2023 Learning Generalizable Agents via Saliency-guided Features Decorrelation NeurIPS 2023 Learning Geometric-Aware Properties in 2D Representation Using Lightweight CAD Models, or Zero Real 3D Pairs CVPR 2023 Learning Geometry-Aware Representations by Sketching CVPR 2023