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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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Papers (including subtopics)

Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models AAAI 2026 Procedure Learning via Regularized Gromov-Wasserstein Optimal Transport WACV 2026 ProCrop: Learning Aesthetic Image Cropping from Professional Compositions AAAI 2026 ProSkill: Segment-Level Skill Assessment in Procedural Videos WACV 2026 ProtoGMVAE: A Variational Auto-Encoder with True Gaussian Mixture Prior for Prototypical-based Self-Explainability WACV 2026 Prototype-Based Semantic Consistency Alignment for Domain Adaptive Retrieval AAAI 2026 Prototype-Driven Active Domain Adaptation with Density Consideration AAAI 2026 Prototype-Guided Supervision for Graph Learning with Noisy and Sparse Labels AAAI 2026 ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse Autoencoders AAAI 2026 Provable Guarantees For Robust Feature Selection in Sparse Linear Models in High-Dimensions UAI 2026 Provably Correct k-Means Clustering of Persistence Diagrams UAI 2026 Proxy Zero-Shot Hashing with Multimodal Fusion via Stable Diffusion AAAI 2026 PSA-MIL: A Probabilistic Spatial Attention-Based Multiple Instance Learning for Whole Slide Image Classification WACV 2026 Pseudo-Likelihood Training for Reasoning Diffusion Language Models EACL 2026 Pseudo Multi-view K-means Clustering AAAI 2026 PTEB: Towards Robust Text Embedding Evaluation via Stochastic Paraphrasing at Evaluation Time with LLMs EACL 2026 Punctuations and Predicates in Language Models EACL 2026 Putting Fair Division on the Map AAAI 2026 QalamID at AbjadAuthorID Shared Task: Morphology Matters, A Hybrid Ensemble for Arabic Authorship Attribution EACL 2026 QCFace: Image Quality Control for boosting Face Representation & Recognition WACV 2026 QiMeng-CRUX: Narrowing the Gap Between Natural Language and Verilog via Core Refined Understanding eXpression AAAI 2026 QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation AAAI 2026 Quality-Aware Adversarial Ensemble for Singer Identification in 1960s Tamil Film Music EACL 2026 Quality-aware and Soft Consistency Driven Representation Fusion for Incomplete Multi-view Multi-label Classification AAAI 2026 QuanTaxo: A Quantum Approach to Self-Supervised Taxonomy Expansion AAAI 2026