Integrated verbalizers with LLMs and compared multiple PEFT techniques for efficient alignment of LLMs for text classification tasks.
Apr 30, 2024
Devised a two-stage VLM-based pipeline by utilizing knowledge of LMs to first sample multiple candidate answers and then using CLIP to select the most likely choice.
Dec 5, 2023
Designed a CNN-based neural network to detect drowsiness in drivers frame-by-frame using RGB videos.
Jul 5, 2020
Implemented weighted RNNs, providing an alternative to attention mechanism by dynamically weighing each token based on their impact on determining the class of the news article.
Nov 28, 2019
Experimented with test-bed to collect experimental leak data using various sensors and utilized it to train a neural network that can predict transient leaks in the system.
Nov 28, 2019