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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)

Learning Mixtures of Gaussian Processes through Random Projection ICML 2024 Learning Multi-Dimensional Human Preference for Text-to-Image Generation CVPR 2024 Learning Multi-Faceted Prototypical User Interests ICLR 2024 Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning IJCAI 2024 Learning Multimodal Contrast with Cross-modal Memory and Reinforced Contrast Recognition ACL 2024 Learning Multimodal Latent Generative Models with Energy-Based Prior ECCV 2024 Learning Multi-Task Sparse Representation Based on Fisher Information AAAI 2024 Learning Musical Representations for Music Performance Question Answering EMNLP 2024 Learning Mutually Informed Representations for Characters and Subwords NAACL 2024 Learning Natural Consistency Representation for Face Forgery Video Detection ECCV 2024 Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees NeurIPS 2024 Learning Neural Networks with Sparse Activations COLT 2024 Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random NeurIPS 2024 Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport JMLR 2024 Learning on Large Graphs using Intersecting Communities NeurIPS 2024 Learning Only When It Matters: Cost-Aware Long-Tailed Classification AAAI 2024 Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls JMLR 2024 Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks ICLR 2024 Learning Partitions from Context NeurIPS 2024 Learning Performance Maximizing Ensembles with Explainability Guarantees AAAI 2024 Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis AAAI 2024 Learning Personalized Alignment for Evaluating Open-ended Text Generation EMNLP 2024 Learning Place Cell Representations and Context-Dependent Remapping NeurIPS 2024 Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation NeurIPS 2024 Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing EMNLP 2024