3 papers
cs.LG2024
AiSciVision: A Framework for Specializing Large Multimodal Models in Scientific Image Classification
Brendan Hogan, Anmol Kabra, Felipe Siqueira Pacheco +10
Trust and interpretability are crucial for the use of Artificial Intelligence (AI) in scientific research, but current models often operate as black boxes offering limited transpar…
cs.CY2024
Score Design for Multi-Criteria Incentivization
Anmol Kabra, Mina Karzand, Tosca Lechner +2
We present a framework for designing scores to summarize performance metrics. Our design has two multi-criteria objectives: (1) improving on scores should improve all performance m…
cs.LG2024
The Limitations of Model Retraining in the Face of Performativity
Anmol Kabra, Kumar Kshitij Patel
We study stochastic optimization in the context of performative shifts, where the data distribution changes in response to the deployed model. We demonstrate that naive retraining…