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Sachithra Hemachandra

3 accepted papers

2025

PROFIT: A Specialized Optimizer for Deep Fine Tuning

NeurIPS 2025poster

The fine-tuning of pre-trained models has become ubiquitous in generative AI, computer vision, and robotics. Although much attention has been paid to improving the efficiency of fine-tuning model, there has been less scholarship around fine-tuning specifically for improved model performance. To reme…

Cited by 0SourceScholar
2015

Learning models for following natural language directions in unknown environments

ICRA 2015poster

Natural language offers an intuitive and flexible means for humans to communicate with the robots that we will increasingly work alongside in our homes and workplaces. Recent advancements have given rise to robots that are able to interpret natural language manipulation and navigation commands, but…

Cited by 100SourceScholar