Publications (8)
SEMPART: Self-supervised Multi-resolution Partitioning of Image Semantics
Sriram Ravindran, Debraj Basu
Accurately determining salient regions of an image is challenging when labeled data is scarce. DINO-based self-supervised approaches have recently leveraged meaningful image semant…
On Shapley Credit Allocation for Interpretability
Debraj Basu
We emphasize the importance of asking the right question when interpreting the decisions of a learning model. We discuss a natural extension of the theoretical machinery from Janzi…
Security Issues of Low Power Wide Area Networks in the Context of LoRa Networks
Debraj Basu, Tianbo Gu, Prasant Mohapatra
Low Power Wide Area Networks (LPWAN) have been used to support low cost and mobile bi-directional communications for the Internet of Things (IoT), smart city and a wide range of in…
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations
Debraj Basu, Deepesh Data, Can Karakus +1
Communication bottleneck has been identified as a significant issue in distributed optimization of large-scale learning models. Recently, several approaches to mitigate this proble…
CoralStyleCLIP: Co-optimized Region and Layer Selection for Image Editing
Ambareesh Revanur, Debraj Basu, Shradha Agrawal +2
Edit fidelity is a significant issue in open-world controllable generative image editing. Recently, CLIP-based approaches have traded off simplicity to alleviate these problems by…
StyleAdaptedLM: Enhancing Instruction Following Models with Efficient Stylistic Transfer
Pritika Ramu, Apoorv Saxena, Meghanath M Y +2
Adapting LLMs to specific stylistic characteristics, like brand voice or authorial tones, is crucial for enterprise communication but challenging to achieve from corpora which lack…
Towards Learning-automation IoT Attack Detection through Reinforcement Learning
Tianbo Gu, Allaukik Abhishek, Hao Fu +3
As a massive number of the Internet of Things (IoT) devices are deployed, the security and privacy issues in IoT arouse more and more attention. The IoT attacks are causing tremend…
Sentiment Analysis in Drug Reviews using Supervised Machine Learning Algorithms
Sairamvinay Vijayaraghavan, Debraj Basu
Sentiment Analysis is an important algorithm in Natural Language Processing which is used to detect sentiment within some text. In our project, we had chosen to work on analyzing r…