← Core Methods
Machine Learning › Core Methods ›

Representation Learning

18863 directly classified papers

Papers per year

Papers

MORE: Molecule Pretraining with Multi-Level Pretext Task AAAI 2025
A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting IJCAI 2025
DiCA: Disambiguated Contrastive Alignment for Cross-Modal Retrieval with Partial Labels AAAI 2025
Run Like a Neural Network, Explain Like k-Nearest Neighbor IJCAI 2025
Single-View Graph Contrastive Learning with Soft Neighborhood Awareness AAAI 2025
TESTN: A Triad-Enhanced Spatio-Temporal Network for Multi-Temporal POI Relationship Inference IJCAI 2025
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications AAAI 2025
NoiseHGNN: Synthesized Similarity Graph-Based Neural Network for Noised Heterogeneous Graph Representation Learning AAAI 2025
Neural Networks Perform Sufficient Dimension Reduction AAAI 2025
Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation IJCAI 2025
Speech Watermarking with Discrete Intermediate Representations AAAI 2025
Representing Sounds as Neural Amplitude Fields: A Benchmark of Coordinate-MLPs and a Fourier Kolmogorov-Arnold Framework AAAI 2025
Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary AAAI 2025
Attention-based Conditional Random Field for Financial Fraud Detection IJCAI 2025
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities IJCAI 2025
MolHFCNet: Enhancing Molecular Graph Representations with Hierarchical Feature Combining and Hybrid Pretraining IJCAI 2025
Predictive Modeling of Homeless Service Assignment: A Representation Learning Approach AAAI 2025
KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks IJCAI 2025
Representation Learning: A Causal Perspective AAAI 2025
Electron Density-enhanced Molecular Geometry Learning IJCAI 2025
Language Model Meets Prototypes: Towards Interpretable Text Classification Models through Prototypical Networks AAAI 2025
Quasi-symbolic Semantic Geometry over Transformer-based Variational AutoEncoder ACL 2025
Exploring Topological Properties in Artificial Neural Networks AAAI 2025
R-DTI: Drug Target Interaction Prediction Based on Second-Order Relevance Exploration AAAI 2025
Distilling A Universal Expert from Clustered Federated Learning IJCAI 2025