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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)

MFSN: Multi-perspective Fusion Search Network For Pre-training Knowledge in Speech Emotion Recognition Interspeech 2024 MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction CVPR 2024 MGNet: Learning Correspondences via Multiple Graphs AAAI 2024 MHGRL: An Effective Representation Learning Model for Electronic Health Records COLING 2024 mHuBERT-147: A Compact Multilingual HuBERT Model Interspeech 2024 MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment AAAI 2024 MICS: Midpoint Interpolation To Learn Compact and Separated Representations for Few-Shot Class-Incremental Learning WACV 2024 MILD Bot: Multidisciplinary Childhood Cancer Survivor Question-Answering Bot EMNLP 2024 Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation AAAI 2024 Mind Artist: Creating Artistic Snapshots with Human Thought CVPR 2024 MindBridge: A Cross-Subject Brain Decoding Framework CVPR 2024 Mind Marginal Non-Crack Regions: Clustering-Inspired Representation Learning for Crack Segmentation CVPR 2024 Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary ICML 2024 Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation CVPR 2024 Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making NeurIPS 2024 Mind the Gap Between Prototypes and Images in Cross-domain Finetuning NeurIPS 2024 Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning ICLR 2024 MINERS: Multilingual Language Models as Semantic Retrievers EMNLP 2024 MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs AAAI 2024 Minimax Linear Regression under the Quantile Risk COLT 2024 Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable AISTATS 2024 Minimax Rates for High-Dimensional Random Tessellation Forests JMLR 2024 Minimax Risk Classifiers for Mislabeled Data: a Study on Patient Outcome Prediction Tasks MLHC 2024 Minimum Entropy Coupling with Bottleneck NeurIPS 2024 Minimum Norm Interpolation Meets The Local Theory of Banach Spaces ICML 2024