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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)

A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension AAAI 2023 A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning NeurIPS 2023 A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening ICML 2023 A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining ICML 2023 A Group-Theoretic Approach to Computational Abstraction: Symmetry-Driven Hierarchical Clustering JMLR 2023 A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction NeurIPS 2023 A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction From In-the-Wild Images CVPR 2023 A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing COLT 2023 A Highly Efficient Marine Mammals Classifier Based on a Cross-Covariance Attended Compact Feed-Forward Sequential Memory Network (Student Abstract) AAAI 2023 A Holistic Approach to Undesired Content Detection in the Real World AAAI 2023 A Human Subject Study of Named Entity Recognition in Conversational Music Recommendation Queries EACL 2023 A Hybrid Detection and Generation Framework with Separate Encoders for Event Extraction EACL 2023 AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning NeurIPS 2023 AIO-P: Expanding Neural Performance Predictors beyond Image Classification AAAI 2023 AirDelhi: Fine-Grained Spatio-Temporal Particulate Matter Dataset From Delhi For ML based Modeling NeurIPS 2023 AI-SNIPS: A Platform for Network Intelligence-Based Pharmaceutical Security AAAI 2023 A Joint Matrix Factorization Analysis of Multilingual Representations EMNLP 2023 A Joint Model for Pronunciation Assessment and Mispronunciation Detection and Diagnosis with Multi-task Learning Interspeech 2023 A Kernel-Based View of Language Model Fine-Tuning ICML 2023 A Kind Introduction to Lexical and Grammatical Aspect, with a Survey of Computational Approaches EACL 2023 Aksharantar: Open Indic-language Transliteration datasets and models for the Next Billion Users EMNLP 2023 ALAMBIC : Active Learning Automation Methods to Battle Inefficient Curation EACL 2023 A Large-Scale Study of Probabilistic Calibration in Neural Network Regression ICML 2023 A Latent-Variable Model for Intrinsic Probing AAAI 2023 ALDi: Quantifying the Arabic Level of Dialectness of Text EMNLP 2023