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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)

Examining Modularity in Multilingual LMs via Language-Specialized Subnetworks NAACL 2024 Examining Temporalities on Stance Detection towards COVID-19 Vaccination COLING 2024 Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets COLING 2024 Examining Vocal Tract Coordination in Childhood Apraxia of Speech with Acoustic-to-Articulatory Speech Inversion Feature Sets Interspeech 2024 Exciting Mood Changes: A Time-aware Hierarchical Transformer for Change Detection Modelling ACL 2024 EX-Graph: A Pioneering Dataset Bridging Ethereum and X ICLR 2024 Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification JMLR 2024 Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration AAAI 2024 ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations CVPR 2024 Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization AAAI 2024 Expanding Hyperspherical Space for Few-Shot Class-Incremental Learning WACV 2024 Expected Probabilistic Hierarchies NeurIPS 2024 Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection NeurIPS 2024 Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection ICLR 2024 Experiments in Automated Generation of Discharge Summaries in Italian COLING 2024 Expert with clustering: Hierarchical online preference learning framework L4DC 2024 Explainable AI in Language Learning: Linking Empirical Evidence and Theoretical Concepts in Proficiency and Readability Modeling of Portuguese NAACL 2024 Explainable by-design Audio Segmentation through Non-Negative Matrix Factorization and Probing Interspeech 2024 Explainable Earnings Call Representation Learning (Student Abstract) AAAI 2024 Explainable Identification of Hate Speech towards Islam using Graph Neural Networks EMNLP 2024 Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM EMNLP 2024 Explaining Datasets in Words: Statistical Models with Natural Language Parameters NeurIPS 2024 Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs EMNLP 2024 Explaining Kernel Clustering via Decision Trees ICLR 2024 Explaining the Hardest Errors of Contextual Embedding Based Classifiers CoNLL 2024