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Self-Supervised Learning

8255 directly classified papers

Papers per year

Papers

Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data AAAI 2025
Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks AAAI 2025
Adaptive Dataset Quantization AAAI 2025
Structure Balance and Gradient Matching-Based Signed Graph Condensation AAAI 2025
SSL-STMFormer Self-Supervised Learning Spatio-Temporal Entanglement Transformer for Traffic Flow Prediction AAAI 2025
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach AAAI 2025
CoDeR: Counterfactual Demand Reasoning for Sequential Recommendation AAAI 2025
Intent Oriented Contrastive Learning for Sequential Recommendation AAAI 2025
MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation AAAI 2025
Disentangled Modeling of Preferences and Social Influence for Group Recommendation AAAI 2025
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs AAAI 2025
ST-ReP: Learning Predictive Representations Efficiently for Spatial-Temporal Forecasting AAAI 2025
Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification AAAI 2025
LOHA: Direct Graph Spectral Contrastive Learning Between Low-Pass and High-Pass Views AAAI 2025
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis AAAI 2025
Cross-View Graph Consistency Learning for Invariant Graph Representations AAAI 2025
Debiased Active Learning with Variational Gradient Rectifier AAAI 2025
Beyond Homophily: Graph Contrastive Learning with Macro-Micro Message Passing AAAI 2025
3SAT: A Simple Self-Supervised Adversarial Training Framework AAAI 2025
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning AAAI 2025
Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach AAAI 2025
CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer Learning AAAI 2025
Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck AAAI 2025
Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined AAAI 2025
CoT-ICL Lab: A Synthetic Framework for Studying Chain-of-Thought Learning from In-Context Demonstrations ACL 2025