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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)

Limited-Supervised Multi-Label Learning with Dependency Noise AAAI 2024 Linear bandits with polylogarithmic minimax regret COLT 2024 Linear Cross-Lingual Mapping of Sentence Embeddings ACL 2024 Linear Distance Metric Learning with Noisy Labels JMLR 2024 Linearised data-driven LSTM-based control of multi-input HVAC systems L4DC 2024 Linear Layer Extrapolation for Fine-Grained Emotion Classification EMNLP 2024 Linear Opinion Pooling for Uncertainty Quantification on Graphs UAI 2024 Linear Regression using Heterogeneous Data Batches NeurIPS 2024 Linear Regression With Unmatched Data: A Deconvolution Perspective JMLR 2024 Linear Transformers are Versatile In-Context Learners NeurIPS 2024 Linear Transformers with Learnable Kernel Functions are Better In-Context Models ACL 2024 Linear Uncertainty Quantification of Graphical Model Inference NeurIPS 2024 Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learning JMLR 2024 Linguistically Conditioned Semantic Textual Similarity ACL 2024 Linguistic-Aware Patch Slimming Framework for Fine-grained Cross-Modal Alignment CVPR 2024 Linguistic Collapse: Neural Collapse in (Large) Language Models NeurIPS 2024 Linguistic Knowledge Can Enhance Encoder-Decoder Models (If You Let It) COLING 2024 LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs EMNLP 2024 Linking in Style: Understanding learned features in deep learning models ECCV 2024 Linking Judgement Text to Court Hearing Videos: UK Supreme Court as a Case Study COLING 2024 Link Prediction for Flow-Driven Spatial Networks WACV 2024 Link Prediction in Multilayer Networks via Cross-Network Embedding AAAI 2024 LinNet: Linear Network for Efficient Point Cloud Representation Learning NeurIPS 2024 Listenable Maps for Audio Classifiers ICML 2024 Listenable Maps for Zero-Shot Audio Classifiers NeurIPS 2024