Sairam Sundaresan

According to our database, Sairam Sundaresan authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

2024

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

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

CoRR, 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

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

FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-off between Accuracy and Robustness.

Souvik Kundu, Sairam Sundaresan, Massoud Pedram, Peter A. Beerel

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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 Fast and Efficient Conditional Learning for Tunable Trade-Off between Accuracy and Robustness.

Souvik Kundu, Sairam Sundaresan, Massoud Pedram, Peter A. Beerel

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

2021

AttentionLite: Towards Efficient Self-Attention Models for Vision.

Souvik Kundu, Sairam Sundaresan

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Attention-based Image Upsampling.

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

CoRR, 2020

RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks.

Juan Emmanuel Johnson, Sairam Sundaresan, Tansu Daylan, Lisseth Gavilan, Daniel K. Giles, Stela Ishitani Silva, Anna Jungbluth, Brett M. Morris, Andrés Muñoz-Jaramillo

CoRR, 2020

Logic2Text: High-Fidelity Natural Language Generation from Logical Forms.

Zhiyu Chen, Wenhu Chen, Hanwen Zha, Xiyou Zhou, Yunkai Zhang, Sairam Sundaresan, William Yang Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 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