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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
'10
'15
'20
'25

Papers (including subtopics)

Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination JMLR 2025 Understanding Fine-tuning CLIP for Open-vocabulary Semantic Segmentation in Hyperbolic Space CVPR 2025 Understanding Fixed Predictions via Confined Regions ICML 2025 Understanding Flatness in Generative Models: Its Role and Benefits ICCV 2025 Understanding GNNs and Homophily in Dynamic Node Classification AISTATS 2025 Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity ICML 2025 Understanding Matters: Semantic-Structural Determined Visual Relocalization for Large Scenes IJCAI 2025 Understanding Microtargeting Pattern on Social Media AAAI 2025 Understanding Subword Compositionality of Large Language Models EMNLP 2025 Understanding Synthetic Context Extension via Retrieval Heads ICML 2025 Understanding the Effect of GCN Convolutions in Regression Tasks AISTATS 2025 Understanding the Influence of Synthetic Data for Text Embedders ACL 2025 Understanding the Modality Gap: An Empirical Study on the Speech-Text Alignment Mechanism of Large Speech Language Models EMNLP 2025 Understanding the Repeat Curse in Large Language Models from a Feature Perspective ACL 2025 Understanding Token Probability Encoding in Output Embeddings COLING 2025 UnDIVE: Generalized Underwater Video Enhancement using Generative Priors WACV 2025 Unfolding-Associative Encoder-Decoder Network with Progressive Alignment for Pansharpening ICCV 2025 Unhackable Temporal Reward for Scalable Video MLLMs ICLR 2025 UniBuc-AE at SemEval-2025 Task 7: Training Text Embedding Models for Multilingual and Crosslingual Fact-Checked Claim Retrieval SemEval 2025 UniBuc at SemEval-2025 Task 9: Similarity Approaches to Classification SemEval 2025 UniBuc-SB at ArchEHR-QA 2025: A Resource-Constrained Pipeline for Relevance Classification and Grounded Answer Synthesis ACL 2025 UNIBUC-SD at ArchEHR-QA 2025: Prompting Our Way to Clinical QA with Multi-Model Ensembling ACL 2025 UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block IJCAI 2025 Unified Analysis of Continuous Weak Features Learning with Applications to Learning from Missing Data ICML 2025 Unified Framework for Open-World Compositional Zero-Shot Learning WACV 2025