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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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'15
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'25

Papers (including subtopics)

DeepCrossAttention: Supercharging Transformer Residual Connections ICML 2025 Deep Disentangled Metric Learning AAAI 2025 Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval AAAI 2025 Deep Fair Multi-View Clustering with Attention KAN CVPR 2025 DeepFeatIoT: Unifying Deep Learned, Randomized, and LLM Features for Enhanced IoT Time Series Sensor Data Classification in Smart Industries IJCAI 2025 Deep Fuzzy Multi-view Learning for Reliable Classification ICML 2025 Deep Graph Online Hashing for Multi-Label Image Retrieval AAAI 2025 Deep Incomplete Multi-view Clustering with Distribution Dual-Consistency Recovery Guidance ICCV 2025 Deep Incomplete Multi-view Learning via Cyclic Permutation of VAEs ICLR 2025 Deep Kernel Posterior Learning under Infinite Variance Prior Weights ICLR 2025 Deep Kernel Relative Test for Machine-generated Text Detection ICLR 2025 DeepLA-Net: Very Deep Local Aggregation Networks for Point Cloud Analysis CVPR 2025 DeepLayout: Learning Neural Representations of Circuit Placement Layout ICML 2025 Deep Learning for Multivariate Time Series Imputation: A Survey IJCAI 2025 Deep Linear Probe Generators for Weight Space Learning ICLR 2025 Deep Metric Learning for Unsupervised Remote Sensing Change Detection WACV 2025 Deep Multi-modal Graph Clustering via Graph Transformer Network AAAI 2025 Deep Networks Learn Features From Local Discontinuities in the Label Function ICLR 2025 Deep Principal Support Vector Machines for Nonlinear Sufficient Dimension Reduction ICML 2025 Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery AAAI 2025 Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks AAAI 2025 Deep Ridgelet Transform and Unified Universality Theorem for Deep and Shallow Joint-Group-Equivariant Machines ICML 2025 DeepRTL2: A Versatile Model for RTL-Related Tasks ACL 2025 DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model ICLR 2025 Deep Signature: Characterization of Large-Scale Molecular Dynamics ICLR 2025