25 citations · 31 across the 4 of their papers we have counts for
5 papers
MXCode: Vector Quantization for MX-Native Inference at Scale
Gaurav Kolhe, Cansu Demirkiran, Shubhi Tyagi +8
Memory capacity and bandwidth are major bottlenecks in LLM inference, motivating weight compression beyond conventional 4-bit quantization. Vector quantization (VQ) enables approxi…
IndiText Boost: Text Augmentation for Low Resource India Languages
Onkar Litake, Niraj Yagnik, Shreyas Labhsetwar
Text Augmentation is an important task for low-resource languages. It helps deal with the problem of data scarcity. A data augmentation strategy is used to deal with the problem of…
Analysis of Dimensional Influence of Convolutional Neural Networks for Histopathological Cancer Classification
Shreyas Rajesh Labhsetwar, Alistair Michael Baretto, Raj Sunil Salvi +2
Convolutional Neural Networks can be designed with different levels of complexity depending upon the task at hand. This paper analyzes the effect of dimensional changes to the CNN…
Performance Analysis of Optimizers for Plant Disease Classification with Convolutional Neural Networks
Shreyas Rajesh Labhsetwar, Soumya Haridas, Riyali Panmand +3
Crop failure owing to pests & diseases are inherent within Indian agriculture, leading to annual losses of 15 to 25% of productivity, resulting in a huge economic loss. This resear…
Predictive Analysis of Diabetic Retinopathy with Transfer Learning
Shreyas Rajesh Labhsetwar, Raj Sunil Salvi, Piyush Arvind Kolte +2
With the prevalence of Diabetes, the Diabetes Mellitus Retinopathy (DR) is becoming a major health problem across the world. The long-term medical complications arising due to DR h…