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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)

Dense Projection for Anomaly Detection AAAI 2024 Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval NeurIPS 2024 Density-Guided Semi-Supervised 3D Semantic Segmentation with Dual-Space Hardness Sampling CVPR 2024 Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts AISTATS 2024 Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts ICML 2024 Dependency Graph Parsing as Sequence Labeling EMNLP 2024 Dependency Structure-Enhanced Graph Attention Networks for Event Detection AAAI 2024 Depression Detection in Clinical Interviews with LLM-Empowered Structural Element Graph NAACL 2024 Depression Detection via Capsule Networks with Contrastive Learning AAAI 2024 DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations AAAI 2024 DeRDaVa: Deletion-Robust Data Valuation for Machine Learning AAAI 2024 Derivative-enhanced Deep Operator Network NeurIPS 2024 Deriving Entity-Specific Embeddings from Multi-Entity Sequences COLING 2024 Description Boosting for Zero-Shot Entity and Relation Classification ACL 2024 Desiderata for Representation Learning: A Causal Perspective JMLR 2024 Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization NeurIPS 2024 Design of a Data-driven Intervention Dashboard for SDG Localization IJCAI 2024 Design Proteins Using Large Language Models: Enhancements and Comparative Analyses ACL 2024 DET: A Dual-Encoding Transformer for Relational Graph Embedding COLING 2024 Detect Everything with Few Examples CoRL 2024 Detecting AI-enhanced Opinion Spambots: a study on LLM-generated Hotel Reviews COLING 2024 Detecting Ambiguous Utterances in an Intelligent Assistant EMNLP 2024 Detecting Bipolar Disorder from Misdiagnosed Major Depressive Disorder with Mood-Aware Multi-Task Learning NAACL 2024 Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers NeurIPS 2024 Detecting Empathy in Speech Interspeech 2024