Skip to content
conftrace_

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)

LDIR: Low-Dimensional Dense and Interpretable Text Embeddings with Relative Representations ACL 2025 LEAF: Large Language Diffusion Model for Time Series Forecasting EMNLP 2025 Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks AAAI 2025 Learnable Feature Patches and Vectors for Boosting Low-light Image Enhancement without External Knowledge ICCV 2025 Learnable Infinite Taylor Gaussian for Dynamic View Rendering CVPR 2025 Learnable Logit Adjustment for Imbalanced Semi-Supervised Learning under Class Distribution Mismatch ICCV 2025 Learn from Global Rather Than Local: Consistent Context-Aware Representation Learning for Multi-View Graph Clustering IJCAI 2025 Learn hybrid prototypes for multivariate time series anomaly detection ICLR 2025 Learning 4D Panoptic Scene Graph Generation from Rich 2D Visual Scene CVPR 2025 Learning Accurate and Interpretable Decision Trees (Extended Abstract) IJCAI 2025 Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain IJCAI 2025 Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory ICLR 2025 Learning Affine Correspondences by Integrating Geometric Constraints CVPR 2025 Learning Algorithms for Multiple Instance Regression UAI 2025 Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning ICML 2025 Learning Anatomy-Disease Entangled Representation WACV 2025 Learning and aligning single-neuron invariance manifolds in visual cortex ICLR 2025 Learning and steering game dynamics towards desirable outcomes L4DC 2025 Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods ICLR 2025 Learning Augmented Graph k-Clustering COLT 2025 Learning A Unified Template for Gait Recognition ICCV 2025 Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation CVPR 2025 Learning causal graphs via nonlinear sufficient dimension reduction JMLR 2025 Learning Causal Transition Matrix for Instance-dependent Label Noise AAAI 2025 Learning Chaos In A Linear Way ICLR 2025