Compact Scene Graphs for Layout Composition and Patch Retrieval. - Subarna Tripathi; Sharath Nittur Sridhar; Sairam Sundaresan; Hanlin Tang (CVPR Workshops, 2019)

Logic2Text: High-Fidelity Natural Language Generation from Logical Forms. - Zhiyu Chen 002; Wenhu Chen; Hanwen Zha; Xiyou Zhou; Yunkai Zhang 002; Sairam Sundaresan; William Yang Wang (EMNLP (Findings), 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)

Attention-based Image Upsampling. - Souvik Kundu 002; Hesham Mostafa; Sharath Nittur Sridhar; Sairam Sundaresan (CoRR, 2020)

AttentionLite: Towards Efficient Self-Attention Models for Vision. - Souvik Kundu 002; Sairam Sundaresan (ICASSP, 2021)

TrimBERT: Tailoring BERT for Trade-offs. - Sharath Nittur Sridhar; Anthony Sarah; 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)

A Fast and Efficient Conditional Learning for Tunable Trade-Off between Accuracy and Robustness. - Souvik Kundu 002; Sairam Sundaresan; Massoud Pedram; Peter A. Beerel (CoRR, 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)

Sparse Mixture Once-for-all Adversarial Training for Efficient in-situ Trade-off between Accuracy and Robustness of DNNs. - Souvik Kundu 002; Sairam Sundaresan; Sharath Nittur Sridhar; Shunlin Lu; Han Tang; Peter A. Beerel (ICASSP, 2023)

InstaTune: Instantaneous Neural Architecture Search During Fine-Tuning. - Sharath Nittur Sridhar; Souvik Kundu 002; Sairam Sundaresan; Maciej Szankin; Anthony Sarah (ICCV (Workshops), 2023)

FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-off between Accuracy and Robustness. - Souvik Kundu 002; Sairam Sundaresan; Massoud Pedram; Peter A. Beerel (WACV, 2023)

Sensi-BERT: Towards Sensitivity Driven Fine-Tuning for Parameter-Efficient BERT. - Souvik Kundu 002; Sharath Nittur Sridhar; Maciej Szankin; Sairam Sundaresan (CoRR, 2023)

SimQ-NAS: Simultaneous Quantization Policy and Neural Architecture Search. - Sharath Nittur Sridhar; Maciej Szankin; Fang Chen; Sairam Sundaresan; Anthony Sarah (CoRR, 2023)

LLaMA-NAS: Efficient Neural Architecture Search for Large Language Models. - Anthony Sarah; Sharath Nittur Sridhar; Maciej Szankin; Sairam Sundaresan (ECCV Workshops (11), 2024)

Sensi-Bert: Towards Sensitivity Driven Fine-Tuning for Parameter-Efficient Language Model. - Souvik Kundu 002; Sharath Nittur Sridhar; Maciej Szankin; Sairam Sundaresan (ICASSP, 2024)