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17 repositories
- Recent papers and projects in multitask Learning, fine-tuning, and their applications
- A dataset for traffic accident analysis in the US
ScalableMTL
Public- A scalable algorithm for fine-tuning LMs on multiple data sources
Tree-data-augmentation
Public- Measuring generalization properties of fine-tuning using Hessian
Task-Modeling
PublicModeling task relationships with surrogate modeling- A boosting procedure for multitask learning on graph-structured data
- Measuring generalization properties of graph neural networks
- Mitigating epidemic spread with mobility network modeling
- A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models
BERT-Fine-Tuning
PublicA primer of transformer models and fine-tuning on language tasks