3 papers
cs.LG2025
Confounder-Free Continual Learning via Recursive Feature Normalization
Yash Shah, Camila Gonzalez, Mohammad H. Abbasi +3
Confounders are extraneous variables that affect both the input and the target, resulting in spurious correlations and biased predictions. There are recent advances in dealing with…
cs.CV2023
Effectively Fine-tune to Improve Large Multimodal Models for Radiology Report Generation
Yuzhe Lu, Sungmin Hong, Yash Shah +1
Writing radiology reports from medical images requires a high level of domain expertise. It is time-consuming even for trained radiologists and can be error-prone for inexperienced…
cs.CL2023
App for Resume-Based Job Matching with Speech Interviews and Grammar Analysis: A Review
Tanmay Kulkarni, Yuvraj Pardeshi, Yash Shah +2
Through the advancement in natural language processing (NLP), specifically in speech recognition, fully automated complex systems functioning on voice input have started proliferat…