VirtuosoResearch's repositories
Regularized-Self-Labeling
A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models
ML4RoadSafety
A dataset for traffic accident analysis in the US
Generalization-in-graph-neural-networks
Measuring generalization properties of graph neural networks
Boosting-multitask-learning-on-graphs
A boosting procedure for multitask learning on graph-structured data
Multitask-Learning-and-Fine-Tuning
Recent papers and projects in multitask Learning, fine-tuning, and their applications
Robust-Fine-Tuning
Measuring generalization properties of fine-tuning using Hessian
Task-Modeling
Modeling task relationships with surrogate modeling
Designing-Intervention-on-Mobility-Networks
Mitigating epidemic spread with mobility network modeling
BERT-Fine-Tuning
A primer of transformer models and fine-tuning on language tasks
Noise-stability-optimization
A Hessian-based regularization approach for finding flat minima
virtuosoresearch.github.io
group website
ScalableMTL
A scalable method for modeling task relationships using gradient-based estimation
Tree-data-augmentation
A top-down search algorithm to construct tree-structured composition of data augmentation