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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)

On the Importance of Gaussianizing Representations ICML 2025 On the Learning with Augmented Class via Forests IJCAI 2025 On the Provable Importance of Gradients for Autonomous Language-Assisted Image Clustering ICCV 2025 On the Relation Between Fine-Tuning, Topological Properties, and Task Performance in Sense-Enhanced Embeddings ACL 2025 On the Relationship Between Monotone and Squared Probabilistic Circuits AAAI 2025 On the Representation of Pairwise Causal Background Knowledge and Its Applications in Causal Inference JMLR 2025 On the Robust Approximation of ASR Metrics ACL 2025 On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions EMNLP 2025 On the Role of Key Phrases in Argument Mining NAACL 2025 On the Role of Label Noise in the Feature Learning Process ICML 2025 On the Versatility of Sparse Autoencoders for In-Context Learning EMNLP 2025 On Understanding Attention-Based In-Context Learning for Categorical Data ICML 2025 On Volume Minimization in Conformal Regression ICML 2025 OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary CVPR 2025 OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data IJCAI 2025 Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics ICLR 2025 Open-Det: An Efficient Learning Framework for Open-Ended Detection ICML 2025 Open Political Corpora: Structuring, Searching, and Analyzing Political Text Collections with PoliCorp EMNLP 2025 Open Problem: Data Selection for Regression Tasks COLT 2025 Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment AAAI 2025 Open Set Label Shift with Test Time Out-of-Distribution Reference CVPR 2025 Open-Set Living Need Prediction with Large Language Models ACL 2025 Open-world Radio Frequency Fingerprint Identification via Augmented Semi-supervised Learning AAAI 2025 Operational Advice for Dense and Sparse Retrievers: HNSW, Flat, or Inverted Indexes? ACL 2025 Operator Learning for Hyperbolic PDEs JMLR 2025