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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)

Static Word Embeddings for Sentence Semantic Representation EMNLP 2025 Statistical and Neural Methods for Hawaiian Orthography Modernization EMNLP 2025 Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation AISTATS 2025 Statistical Inference of Random Graphs With a Surrogate Likelihood Function JMLR 2025 Statistical inference on black-box generative models in the data kernel perspective space ACL 2025 Statistical Model-driven Similarity Hashing: Bridging Modalities for Efficient Unsupervised Retrieval AAAI 2025 Statistical Test for Auto Feature Engineering by Selective Inference AISTATS 2025 Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection ICML 2025 STDDNet: Harnessing Mamba for Video Polyp Segmentation via Spatial-aligned Temporal Modeling and Discriminative Dynamic Representation Learning ICCV 2025 STD-FD: Spatio-Temporal Distribution Fitting Deviation for AIGC Forgery Identification ICML 2025 STEAM: A Semantic-Level Knowledge Editing Framework for Large Language Models EMNLP 2025 Steering into New Embedding Spaces: Analyzing Cross-Lingual Alignment Induced by Model Interventions in Multilingual Language Models ACL 2025 Steering Language Models in Multi-Token Generation: A Case Study on Tense and Aspect EMNLP 2025 Steering Your Diffusion Policy with Latent Space Reinforcement Learning CoRL 2025 Steer LLM Latents for Hallucination Detection ICML 2025 STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis AAAI 2025 STEM-POM: Evaluating Language Models Math-Symbol Reasoning in Document Parsing ACL 2025 Step and Smooth Decompositions as Topological Clustering JMLR 2025 Stepping Out of Similar Semantic Space for Open-Vocabulary Segmentation ICCV 2025 Stepwise Fine and Gray: Subject-Specific Variable Selection Shows When Hemodynamic Data Improves Prognostication of Comatose Post-Cardiac Arrest Patients MLHC 2025 ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data AAAI 2025 STFXNLP at SemEval-2025 Task 11 Track A: Neural Network, Schema, and Next Word Prediction-based Approaches to Perceived Emotion Detection SemEval 2025 Sticking to the Mean: Detecting Sticky Tokens in Text Embedding Models ACL 2025 STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification CVPR 2025 STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation CVPR 2025