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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)

Orient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Models ICML 2025 Origin Identification for Text-Guided Image-to-Image Diffusion Models ICML 2025 Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection ICML 2025 OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference ICML 2025 Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads ICML 2025 Oscillatory State-Space Models ICLR 2025 OS-GCL: A One-Shot Learner in Graph Contrastive Learning IJCAI 2025 OTCXR: Rethinking Self-Supervised Alignment using Optimal Transport for Chest X-ray Analysis WACV 2025 OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems AAAI 2025 OTPNet: ODE-inspired Tuning-free Proximal Network for Remote Sensing Image Fusion AAAI 2025 O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models CVPR 2025 Outlier Robust and Sparse Estimation of Linear Regression Coefficients JMLR 2025 Out-of-Context Reasoning in Large Language Models EMNLP 2025 Out-of-Distribution Detection via LLM-Guided Outlier Generation for Text-attributed Graph ACL 2025 Out-of-Distribution Detection with Prototypical Outlier Proxy AAAI 2025 Overview of the BioLaySumm 2025 Shared Task on Lay Summarization of Biomedical Research Articles and Radiology Reports ACL 2025 Overview of the SciHal25 Shared Task on Hallucination Detection for Scientific Content ACL 2025 Overview of the Shared Task on Detecting AI Generated Product Reviews in Dravidian Languages: DravidianLangTech@NAACL 2025 NAACL 2025 OVFact: Measuring and Improving Open-Vocabulary Factuality for Long Caption Models EMNLP 2025 OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models ICML 2025 OW-VAP: Visual Attribute Parsing for Open World Object Detection ICML 2025 PAC-Bayes Analysis for Recalibration in Classification ICML 2025 PACT: Pruning and Clustering-Based Token Reduction for Faster Visual Language Models CVPR 2025 PAI at SemEval-2025 Task 11: A Large Language Model Ensemble Strategy for Text-Based Emotion Detection SemEval 2025 Pairwise Maximum Likelihood For Multi-Class Logistic Regression Model With Multiple Rare Classes ICML 2025