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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)

Priori Anchor Labels Supervised Scalable Multi-View Bipartite Graph Clustering AAAI 2023 Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching JMLR 2023 Privacy-preserving patient clustering for personalized federated learnings MLHC 2023 Privacy-preserving Representation Learning for Speech Understanding Interspeech 2023 Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes AAAI 2023 Privacy-preserving Sparse Generalized Eigenvalue Problem AISTATS 2023 Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Rényi Filter UAI 2023 Probabilistic Attention-to-Influence Neural Models for Event Sequences ICML 2023 Probabilistic Concept Bottleneck Models ICML 2023 Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs ICML 2023 Probabilistic Imputation for Time-series Classification with Missing Data ICML 2023 Probabilistic Integration of Object Level Annotations in Chest X-Ray Classification WACV 2023 Probabilistic Invariant Learning with Randomized Linear Classifiers NeurIPS 2023 Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation ICCV 2023 Probabilistic Multi-Dimensional Classification UAI 2023 Probabilistic Prompt Learning for Dense Prediction CVPR 2023 Probability Guided Loss for Long-Tailed Multi-Label Image Classification AAAI 2023 PrObeD: Proactive Object Detection Wrapper NeurIPS 2023 Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders EACL 2023 Probing Graph Decomposition for Argument Pair Extraction ACL 2023 Probing Graph Representations AISTATS 2023 Probing LLMs for Joint Encoding of Linguistic Categories EMNLP 2023 Probing Neural Representations of Scene Perception in a Hippocampally Dependent Task Using Artificial Neural Networks CVPR 2023 Probing Representations for Document-level Event Extraction EMNLP 2023 Probing Sentiment-Oriented Pre-Training Inspired by Human Sentiment Perception Mechanism CVPR 2023