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Self-Supervised Learning

8,255 papers

Papers per year

Papers

Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective AAAI 2024
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery AAAI 2024
Deep Homography Estimation for Visual Place Recognition AAAI 2024
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning AAAI 2024
A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities AAAI 2024
DanceMVP: Self-Supervised Learning for Multi-Task Primitive-Based Dance Performance Assessment via Transformer Text Prompting AAAI 2024
NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world Video Super-Resolution AAAI 2024
Efficient Target Propagation by Deriving Analytical Solution AAAI 2024
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression AAAI 2024
Audio Scanning Network: Bridging Time and Frequency Domains for Audio Classification AAAI 2024
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity AAAI 2024
Unsupervised Object Interaction Learning with Counterfactual Dynamics Models AAAI 2024
DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning AAAI 2024
Self-Interpretable Graph Learning with Sufficient and Necessary Explanations AAAI 2024
Improving GNN Calibration with Discriminative Ability: Insights and Strategies AAAI 2024
Partial Multi-View Clustering via Self-Supervised Network AAAI 2024
Summarizing Stream Data for Memory-Constrained Online Continual Learning AAAI 2024
A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning AAAI 2024
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity AAAI 2024
PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation AAAI 2024
Spotting the Unseen: Reciprocal Consensus Network Guided by Visual Archetypes AAAI 2024
Binding-Adaptive Diffusion Models for Structure-Based Drug Design AAAI 2024
Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement AAAI 2024
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective AAAI 2024
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning AAAI 2024