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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)

Axioms for AI Alignment from Human Feedback AAAI 2025 Axis-level Symmetry Detection with Group-Equivariant Representation ICCV 2025 AxlePro: Momentum-Accelerated Batched Training of Kernel Machines AISTATS 2025 Backdoor Attack on Vertical Federated Graph Neural Network Learning IJCAI 2025 Background Invariance Testing According to Semantic Proximity ICCV 2025 Bagged k-Distance for Mode-Based Clustering Using the Probability of Localized Level Sets JMLR 2025 Bagged Regularized k-Distances for Anomaly Detection JMLR 2025 Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts AAAI 2025 Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations ICLR 2025 Balanced Ranking with Relative Centrality: A multi-core periphery perspective ICLR 2025 Balanced Sharpness-Aware Minimization for Imbalanced Regression ICCV 2025 Balancing Conservatism and Aggressiveness: Prototype-Affinity Hybrid Network for Few-Shot Segmentation ICCV 2025 Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation ACL 2025 Balancing Interpretability and Flexibility in Modeling Diagnostic Trajectories with an Embedded Neural Hawkes Process Model MLHC 2025 Balancing Quality and Variation: Spam Filtering Distorts Data Label Distributions EMNLP 2025 Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data ICML 2025 Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation IJCAI 2025 BanHate: An Up-to-Date and Fine-Grained Bangla Hate Speech Dataset AACL 2025 BanHateME : Understanding Hate in Bangla Memes thorough Detection, Categorization, and Target Profiling AACL 2025 Banyan: Improved Representation Learning with Explicit Structure ICML 2025 BAREC Shared Task 2025 on Arabic Readability Assessment EMNLP 2025 Batch List-Decodable Linear Regression via Higher Moments ICML 2025 Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations AAAI 2025 Bayesian Data Sketching for Varying Coefficient Regression Models JMLR 2025 Bayesian Image Regression with Soft-thresholded Conditional Autoregressive Prior ICLR 2025