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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 vector fields of differential equations on manifolds with geometrically constrained operator-valued kernels ICLR 2025 Learning Visual Composition through Improved Semantic Guidance CVPR 2025 Learning Visual Hierarchies in Hyperbolic Space for Image Retrieval ICCV 2025 Learning Visual Proxy for Compositional Zero-Shot Learning ICCV 2025 Learning Visual-Semantic Hierarchical Attribute Space for Interpretable Open-Set Recognition WACV 2025 Learning vs Retrieval: The Role of In-Context Examples in Regression with Large Language Models NAACL 2025 Learning What to Remember: Adaptive Probabilistic Memory Retention for Memory-Efficient Language Models EMNLP 2025 Learning with Exact Invariances in Polynomial Time ICML 2025 Learning with Expected Signatures: Theory and Applications ICML 2025 Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space AAAI 2025 Learning with Selectively Labeled Data from Multiple Decision-makers ICML 2025 Learning Word Embeddings from Glosses: A Multi-Loss Framework for Arabic Reverse Dictionary Tasks EMNLP 2025 Learn Multi-task Anchor: Joint View Imputation and Label Generation for Incomplete Multi-view Clustering IJCAI 2025 Learn to Memorize: Scalable Continual Learning in Semiparametric Models with Mixture-of-Neighbors Induction Memory ACL 2025 Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning IJCAI 2025 Learnware Specification via Label-Aware Neural Embedding AAAI 2025 LeCNet: A Legal Citation Network Benchmark Dataset AACL 2025 Legal Fact Prediction: The Missing Piece in Legal Judgment Prediction EMNLP 2025 LegalSeg: Unlocking the Structure of Indian Legal Judgments Through Rhetorical Role Classification NAACL 2025 Lemmas Matter, But Not Like That: Predictors of Lemma-Based Generalization in Morphological Inflection ACL 2025 Lemmatization as a Classification Task: Results from Arabic across Multiple Genres EMNLP 2025 Lemmatizing Dialectal Arabic with Sequence-to-Sequence Models EMNLP 2025 LEMoN: Label Error Detection using Multimodal Neighbors ICML 2025 Length-Induced Embedding Collapse in PLM-based Models ACL 2025 Length Representations in Large Language Models EMNLP 2025