Sharath Nittur Sridhar

According to our database, Sharath Nittur Sridhar authored at least 20 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Toward Scalable Video Narration: A Training-free Approach Using Multimodal Large Language Models.

Tz-Ying Wu, Tahani Trigui, Sharath Nittur Sridhar, Anand V. Bodas, Subarna Tripathi

CoRR, July, 2025

EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs.

Ivan Rodin, Tz-Ying Wu, Kyle Min, Sharath Nittur Sridhar, Antonino Furnari, Subarna Tripathi, Giovanni Maria Farinella

CoRR, June, 2025

LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model Compression.

Souvik Kundu, Anahita Bhiwandiwalla, Sungduk Yu, Phillip Howard, Tiep Le, Sharath Nittur Sridhar, David Cobbley, Hao Kang, Vasudev Lal

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

LLM-NPU: Towards Efficient Foundation Model Inference on Low-Power Neural Processing Units.

Arnab Raha, Souvik Kundu, Sharath Nittur Sridhar, Shamik Kundu, Soumendu Kumar Ghosh, Alessandro Palla, Arghadip Das, Darren Crews, Deepak A. Mathaikutty

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2025

2024

Sensi-Bert: Towards Sensitivity Driven Fine-Tuning for Parameter-Efficient Language Model.

Souvik Kundu, Sharath Nittur Sridhar, Maciej Szankin, Sairam Sundaresan

Proceedings of the IEEE International Conference on Acoustics, 2024

LLaMA-NAS: Efficient Neural Architecture Search for Large Language Models.

Anthony Sarah, Sharath Nittur Sridhar, Maciej Szankin, Sairam Sundaresan

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

SimQ-NAS: Simultaneous Quantization Policy and Neural Architecture Search.

Sharath Nittur Sridhar, Maciej Szankin, Fang Chen, Sairam Sundaresan, Anthony Sarah

CoRR, 2023

Sensi-BERT: Towards Sensitivity Driven Fine-Tuning for Parameter-Efficient BERT.

Souvik Kundu, Sharath Nittur Sridhar, Maciej Szankin, Sairam Sundaresan

CoRR, 2023

InstaTune: Instantaneous Neural Architecture Search During Fine-Tuning.

Sharath Nittur Sridhar, Souvik Kundu, Sairam Sundaresan, Maciej Szankin, Anthony Sarah

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Sparse Mixture Once-for-all Adversarial Training for Efficient in-situ Trade-off between Accuracy and Robustness of DNNs.

Souvik Kundu, Sairam Sundaresan, Sharath Nittur Sridhar, Shunlin Lu, Han Tang, Peter A. Beerel

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

A Hardware-Aware Framework for Accelerating Neural Architecture Search Across Modalities.

Daniel Cummings, Anthony Sarah, Sharath Nittur Sridhar, Maciej Szankin, Juan Pablo Muñoz, Sairam Sundaresan

CoRR, 2022

A Hardware-Aware System for Accelerating Deep Neural Network Optimization.

Anthony Sarah, Daniel Cummings, Sharath Nittur Sridhar, Sairam Sundaresan, Maciej Szankin, Tristan Webb, J. Pablo Munoz

CoRR, 2022

TrimBERT: Tailoring BERT for Trade-offs.

Sharath Nittur Sridhar, Anthony Sarah, Sairam Sundaresan

CoRR, 2022

Accelerating neural architecture exploration across modalities using genetic algorithms.

Daniel Cummings, Sharath Nittur Sridhar, Anthony Sarah, Maciej Szankin

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2020

Undivided Attention: Are Intermediate Layers Necessary for BERT?

Sharath Nittur Sridhar, Anthony Sarah

CoRR, 2020

Attention-based Image Upsampling.

Souvik Kundu, Hesham Mostafa, Sharath Nittur Sridhar, Sairam Sundaresan

CoRR, 2020

2019

Compact Scene Graphs for Layout Composition and Patch Retrieval.

Subarna Tripathi, Sharath Nittur Sridhar, Sairam Sundaresan, Hanlin Tang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Fast Weight Long Short-Term Memory.

T. Anderson Keller, Sharath Nittur Sridhar, Xin Wang

CoRR, 2018

2017

Driving in the Matrix: Can virtual worlds replace human-generated annotations for real world tasks?

Matthew Johnson-Roberson, Charles Barto, Rounak Mehta, Sharath Nittur Sridhar, Karl Rosaen, Ram Vasudevan

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

Matthew Johnson-Roberson, Charles Barto, Rounak Mehta, Sharath Nittur Sridhar, Ram Vasudevan

CoRR, 2016