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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)

Learning Deformable Hypothesis Sampling for Accurate PatchMatch Multi-View Stereo AAAI 2024 Learning Degradation-unaware Representation with Prior-based Latent Transformations for Blind Face Restoration CVPR 2024 Learning Diffusions under Uncertainty AAAI 2024 Learning Discrete Concepts in Latent Hierarchical Models NeurIPS 2024 Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection CVPR 2024 Learning Discriminative Noise Guidance for Image Forgery Detection and Localization AAAI 2024 Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation CVPR 2024 Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization NeurIPS 2024 Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks ACL 2024 Learning Distributions on Manifolds with Free-Form Flows NeurIPS 2024 Learning diverse causally emergent representations from time series data NeurIPS 2024 Learning Dynamic Multi-attribute Interest for Personalized Product Search EMNLP 2024 Learning dynamic representations of the functional connectome in neurobiological networks ICLR 2024 Learning Dynamics in Linear VAE: Posterior Collapse Threshold, Superfluous Latent Space Pitfalls, and Speedup with KL Annealing AISTATS 2024 Learning Elastic Costs to Shape Monge Displacements NeurIPS 2024 Learning Embeddings for Sequential Tasks Using Population of Agents IJCAI 2024 Learning Energy Decompositions for Partial Inference in GFlowNets ICLR 2024 Learning Equi-angular Representations for Online Continual Learning CVPR 2024 Learning Fair Representations for Recommendation via Information Bottleneck Principle IJCAI 2024 Learning for Transductive Threshold Calibration in Open-World Recognition CVPR 2024 Learning from an Infant’s Visual Experience AAAI 2024 Learning from Crowds with Dual-View K-Nearest Neighbor UAI 2024 Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks NeurIPS 2024 Learning from Highly Sparse Spatio-temporal Data NeurIPS 2024 Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation ICLR 2024