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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
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'25

Papers (including subtopics)

Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss Function AAAI 2025 Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks CVPR 2025 Efficient Data Labeling by Hierarchical Crowdsourcing with Large Language Models COLING 2025 Efficient Dictionary Learning with Switch Sparse Autoencoders ICLR 2025 Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax ICLR 2025 Efficient Document-level Event Relation Extraction NAACL 2025 Efficient Dynamic Clustering-Based Document Compression for Retrieval-Augmented-Generation EMNLP 2025 Efficient Dynamic Ensembling for Multiple LLM Experts IJCAI 2025 Efficient Ensemble for Fine-tuning Language Models on Multiple Datasets ACL 2025 Efficient Environmental Claim Detection with Hyperbolic Graph Neural Networks IJCNLP 2025 Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention CVPR 2025 Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions AAAI 2025 Efficient Heterogeneity-Aware Federated Active Data Selection ICML 2025 Efficient Indoor Depth Completion Network Using Mask-adaptive Gated Convolution AAAI 2025 Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs EMNLP 2025 Efficient Learning with Sine-Activated Low-Rank Matrices ICLR 2025 Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts ICLR 2025 Efficiently Enhancing Long-term Series Forecasting via Ultra-long Lookback Windows AAAI 2025 Efficiently Identifying Watermarked Segments in Mixed-Source Texts ACL 2025 Efficient Multi-Person Motion Prediction by Lightweight Spatial and Temporal Interactions ICCV 2025 Efficient Multi-view Clustering via Reinforcement Contrastive Learning IJCAI 2025 Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks NAACL 2025 Efficient Network Automatic Relevance Determination ICML 2025 Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling JMLR 2025 Efficient Online Prediction for High-Dimensional Time Series via Joint Tensor Tucker Decomposition JMLR 2025