2 papers
cs.LG2025
Principled Curriculum Learning using Parameter Continuation Methods
Harsh Nilesh Pathak, Randy Paffenroth
In this work, we propose a parameter continuation method for the optimization of neural networks. There is a close connection between parameter continuation, homotopies, and curric…
cs.LG2025
Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers
Harsh Nilesh Pathak, Randy Paffenroth
Parameter efficient fine tuning (PEFT) is a versatile and extensible approach for adapting a Large Language Model (LLM) for newer tasks. One of the most prominent PEFT approaches,…