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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)

Confidence-Aware Training of Smoothed Classifiers for Certified Robustness AAAI 2023 Confidence-based Ensembling of Perspective-aware Models EMNLP 2023 Confidence-Based Feature Imputation for Graphs with Partially Known Features ICLR 2023 Confidence-based Self-Corrective Learning: An Application in Height Estimation Using Satellite LiDAR and Imagery IJCAI 2023 Confidence Intervals and Hypothesis Testing for High-dimensional Quantile Regression: Convolution Smoothing and Debiasing JMLR 2023 Confidential-PROFITT: Confidential PROof of FaIr Training of Trees ICLR 2023 CONFLATOR: Incorporating Switching Point based Rotatory Positional Encodings for Code-Mixed Language Modeling EMNLP 2023 Conflicts, Villains, Resolutions: Towards models of Narrative Media Framing ACL 2023 Conformalization of Sparse Generalized Linear Models ICML 2023 Conformalized Unconditional Quantile Regression AISTATS 2023 Conformal Meta-learners for Predictive Inference of Individual Treatment Effects NeurIPS 2023 Conformal Prediction for Federated Uncertainty Quantification Under Label Shift ICML 2023 Conformal Prediction Sets for Graph Neural Networks ICML 2023 Conformal Prediction Sets for Ordinal Classification NeurIPS 2023 Conformal Prediction with Missing Values ICML 2023 Conformal Risk Control for Ordinal Classification UAI 2023 Congestion Control of Vehicle Traffic Networks by Learning Structural and Temporal Patterns L4DC 2023 CONGREGATE: Contrastive Graph Clustering in Curvature Spaces IJCAI 2023 Conjunct Resolution in the Face of Verbal Omissions ACL 2023 Connecting Multi-modal Contrastive Representations NeurIPS 2023 Connecting Pre-trained Language Model and Downstream Task via Properties of Representation NeurIPS 2023 Connecting the Dots: What Graph-Based Text Representations Work Best for Text Classification using Graph Neural Networks? EMNLP 2023 Connecting Vision and Language With Video Localized Narratives CVPR 2023 Connectivity-contrastive learning: Combining causal discovery and representation learning for multimodal data AISTATS 2023 Connectivity Patterns are Task Embeddings ACL 2023