| 2024 | ECCV | LLaMA-NAS: Efficient Neural Architecture Search for Large Language Models. | Anthony Sarah, Sharath Nittur Sridhar, Maciej Szankin, Sairam Sundaresan |
| 2024 | ICASSP | Sensi-Bert: Towards Sensitivity Driven Fine-Tuning for Parameter-Efficient Language Model. | Souvik Kundu, Sharath Nittur Sridhar, Maciej Szankin, Sairam Sundaresan |
| 2023 | ICASSP | 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 |
| 2023 | WACV | 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 |
| 2021 | ICASSP | AttentionLite: Towards Efficient Self-Attention Models for Vision. | Souvik Kundu, Sairam Sundaresan |
| 2020 | EMNLP | Logic2Text: High-Fidelity Natural Language Generation from Logical Forms. | Zhiyu Chen, Wenhu Chen, Hanwen Zha, Xiyou Zhou, Yunkai Zhang, Sairam Sundaresan, William Yang Wang |
| 2019 | CVPR | Compact Scene Graphs for Layout Composition and Patch Retrieval. | Subarna Tripathi, Sharath Nittur Sridhar, Sairam Sundaresan, Hanlin Tang |