32 citations · 40 across the 7 of their papers we have counts for
3 papers · 1 filter
Optimizing Active Learning in Vision-Language Models via Parameter-Efficient Uncertainty Calibration
Athmanarayanan Lakshmi Narayanan, Amrutha Machireddy, Ranganath Krishnan
Active Learning (AL) has emerged as a powerful approach for minimizing labeling costs by selectively sampling the most informative data for neural network model development. Effect…
Parameter-Efficient Active Learning for Foundational models
Athmanarayanan Lakshmi Narayanan, Ranganath Krishnan, Amrutha Machireddy +1
Foundational vision transformer models have shown impressive few shot performance on many vision tasks. This research presents a novel investigation into the application of paramet…
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization
Neslihan Kose, Ranganath Krishnan, Akash Dhamasia +2
Reliable uncertainty quantification in deep neural networks is very crucial in safety-critical applications such as automated driving for trustworthy and informed decision-making.…