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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
'10
'15
'20
'25

Papers (including subtopics)

Multi-Modal Representation Learning With Text-Driven Soft Masks CVPR 2023 Multi-mode Neural Speech Coding Based on Deep Generative Networks Interspeech 2023 Multi-Mode Online Knowledge Distillation for Self-Supervised Visual Representation Learning CVPR 2023 MultiMoDN—Multimodal, Multi-Task, Interpretable Modular Networks NeurIPS 2023 Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions NeurIPS 2023 Multi-Objective GFlowNets ICML 2023 Multi-Object Representation Learning via Feature Connectivity and Object-Centric Regularization NeurIPS 2023 Multiple Instance Learning for Inference of Child Attachment From Paralinguistic Aspects of Speech Interspeech 2023 Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification ICCV 2023 Multiplex Graph Representation Learning via Common and Private Information Mining AAAI 2023 Multiplicative Fourier Level of Detail CVPR 2023 Multi-Realism Image Compression With a Conditional Generator CVPR 2023 Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction AAAI 2023 Multi-Relational Probabilistic Event Representation Learning via Projected Gaussian Embedding ACL 2023 Multi-resolution Approach to Identification of Spoken Languages and To Improve Overall Language Diarization System Using Whisper Model Interspeech 2023 Multi-Scale Subgraph Contrastive Learning IJCAI 2023 Multiscale Tensor Decomposition and Rendering Equation Encoding for View Synthesis CVPR 2023 Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices JMLR 2023 Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization Interspeech 2023 Multi-Stream Representation Learning for Pedestrian Trajectory Prediction AAAI 2023 Multi-Swap k-Means++ NeurIPS 2023 Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries ICML 2023 Multi-Task Imitation Learning for Linear Dynamical Systems L4DC 2023 Multitask Learning via Shared Features: Algorithms and Hardness COLT 2023 Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning NeurIPS 2023