Augmenting Anchors by the Detector Itself

Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition

MNet: Graph Masked Autoencoder Enhanced Predictor for Neural Architecture Search

PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations

Model-Based Offline Planning with Trajectory Pruning

Information Augmentation for Few-shot Node Classification

Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning

Bootstrapping Informative Graph Augmentation via A Meta Learning Approach

Learning First-Order Rules with Differentiable Logic Program Semantics

Multi-Constraint Deep Reinforcement Learning for Smooth Action Control

Don’t Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning

Multi-Task Personalized Learning with Sparse Network Lasso

Learning Unforgotten Domain-Invariant Representations for Online Unsupervised Domain Adaptation

Fusion Label Enhancement for Multi-Label Learning

Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport

Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning

On the Optimization of Margin Distribution

Contrastive Multi-view Hyperbolic Hierarchical Clustering