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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)

Black-Box k-to-1-PCA Reductions: Theory and Applications COLT 2024 Blind Image Quality Assessment Based on Geometric Order Learning CVPR 2024 BLIS-Net: Classifying and Analyzing Signals on Graphs AISTATS 2024 BlockBoost: Scalable and Efficient Blocking through Boosting AISTATS 2024 Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding EMNLP 2024 BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data IJCAI 2024 Block Transformer: Global-to-Local Language Modeling for Fast Inference NeurIPS 2024 BLURD: Benchmarking and Learning using a Unified Rendering and Diffusion Model NeurIPS 2024 BOBA: Byzantine-Robust Federated Learning with Label Skewness AISTATS 2024 BodyMAP - Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed CVPR 2024 BOLD: Boolean Logic Deep Learning NeurIPS 2024 BoolQuestions: Does Dense Retrieval Understand Boolean Logic in Language? EMNLP 2024 BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping NeurIPS 2024 Boosted Conformal Prediction Intervals NeurIPS 2024 Boosting Diffusion Models with an Adaptive Momentum Sampler IJCAI 2024 Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning NeurIPS 2024 Boosting Graph Pooling with Persistent Homology NeurIPS 2024 Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference AAAI 2024 Boosting Neural Cognitive Diagnosis with Student’s Affective State Modeling AAAI 2024 Boosting Neural Representations for Videos with a Conditional Decoder CVPR 2024 Boosting Single Positive Multi-label Classification with Generalized Robust Loss IJCAI 2024 Bootstrapping Top-down Information for Self-modulating Slot Attention NeurIPS 2024 BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses COLING 2024 BoQ: A Place is Worth a Bag of Learnable Queries CVPR 2024 Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling IJCAI 2024