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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
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'15
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'25

Papers (including subtopics)

Accurate Estimation of Feature Importance Faithfulness for Tree Models AAAI 2025 Accurate Identification of Communication Between Multiple Interacting Neural Populations ICML 2025 Accurate KV Cache Quantization with Outlier Tokens Tracing ACL 2025 Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning AAAI 2025 ACE: Anatomically Consistent Embeddings in Composition and Decomposition WACV 2025 A Centrality-based Graph Learning Framework IJCAI 2025 ACES: Automatic Cohort Extraction System for Event-Stream Datasets ICLR 2025 A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing ICML 2025 A Characterization of List Regression ALT 2025 Achieving Ensemble-Like Performance in a Single Model: A Feature Diversification Framework for Image-Text Matching AAAI 2025 AC-IND: Sparse CT Reconstruction Based on Attenuation Coefficient Estimation and Implicit Neural Distribution WACV 2025 A Classification View on Meta Learning Bandits ICML 2025 A Classifier of Word-Level Variants in Witnesses of Biblical Hebrew Manuscripts ACL 2025 A CLIP-Powered Framework for Robust and Generalizable Data Selection ICLR 2025 A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle ICML 2025 A Combinatorial Approach to Neural Emergent Communication COLING 2025 A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging AAAI 2025 A Compact Model for Mathematics Problem Representations Distilled from BERT AAAI 2025 A Comparative Evaluation of Quantification Methods JMLR 2025 A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension NAACL 2025 A Comparative Study of Static and Contextual Embeddings for Analyzing Semantic Changes in Medieval Latin Charters COLING 2025 A Comparison of Elementary Baselines for BabyLM EMNLP 2025 A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencing IJCAI 2025 A Comprehensive Taxonomy of Negation for NLP and Neural Retrievers EMNLP 2025 A Compressive Memory-based Retrieval Approach for Event Argument Extraction COLING 2025