Edge Deployable Distributed Evolutionary Optimization based Calibration method for Neural Quantization. - Tiwari, Utsav; Miriyala, Srinivas Soumitri; Rajendiran, Vikram Nelvoy (2024)

Mixed Precision Neural Quantization with Multi-Objective Bayesian Optimization for on-Device Deployment. - Miriyala, Srinivas Soumitri; Suhas, P. K.; Tiwari, Utsav; Rajendiran, Vikram Nelvoy (2024)

Learning Representations from Explainable and Connectionist Approaches for Visual Question Answering. - Mishra, Aakansha; Miriyala, Srinivas Soumitri; Rajendiran, Vikram Nelvoy (2024)

Efficient Adapter on Pre-trained Visual Feature Reliance in Medical Visual Question Answering. - Mishra, Aakansha; Keserwani, Prateek; Rajendiran, Vikram Nelvoy; Senapati, Ashok K. (2024)

A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks Via Learned Weights Statistics. - Sharma, Prasen Kumar; Abraham, Arun; Rajendiran, Vikram Nelvoy (IEEE Trans. Multim., 2023)

Receptive Field Reliant Zero-Cost Proxies for Neural Architecture Search. - Keserwani, Prateek; Miriyala, Srinivas Soumitri; Rajendiran, Vikram Nelvoy; Shivamurthappa, Pradeep N. (2023)

Post Training Mixed Precision Quantization of Neural Networks using First-Order Information. - Chauhan, Arun; Tiwari, Utsav; R, Vikram N. (2023)

A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks via Learned Weights Statistics. - Sharma, Prasen Kumar; Abraham, Arun; Rajendiran, Vikram Nelvoy (CoRR, 2021)

Processor Pipelining Method for Efficient Deep Neural Network Inference on Embedded Devices. - Parashar, Akshay; Abraham, Arun; Chaudhary, Deepak; Rajendiran, Vikram Nelvoy (2020)