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Conference and Workshop Papers
- 2024
[c7]Souvik Kundu, Sharath Nittur Sridhar, Maciej Szankin, Sairam Sundaresan:
Sensi-Bert: Towards Sensitivity Driven Fine-Tuning for Parameter-Efficient Language Model. ICASSP 2024: 10071-10075- 2023
- [c6]Souvik Kundu, Sairam Sundaresan, Sharath Nittur Sridhar, Shunlin Lu, Han Tang, Peter A. Beerel
:
Sparse Mixture Once-for-all Adversarial Training for Efficient in-situ Trade-off between Accuracy and Robustness of DNNs. ICASSP 2023: 1-5 - [c5]Sharath Nittur Sridhar, Souvik Kundu, Sairam Sundaresan, Maciej Szankin, Anthony Sarah:
InstaTune: Instantaneous Neural Architecture Search During Fine-Tuning. ICCV (Workshops) 2023: 1515-1519 - [c4]Souvik Kundu, Sairam Sundaresan, Massoud Pedram, Peter A. Beerel:
FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-off between Accuracy and Robustness. WACV 2023: 2348-2357 - 2021
- [c3]Souvik Kundu, Sairam Sundaresan:
AttentionLite: Towards Efficient Self-Attention Models for Vision. ICASSP 2021: 2225-2229 - 2020
- [c2]Zhiyu Chen, Wenhu Chen, Hanwen Zha, Xiyou Zhou, Yunkai Zhang, Sairam Sundaresan, William Yang Wang:
Logic2Text: High-Fidelity Natural Language Generation from Logical Forms. EMNLP (Findings) 2020: 2096-2111 - 2019
- [c1]Subarna Tripathi, Sharath Nittur Sridhar, Sairam Sundaresan, Hanlin Tang:
Compact Scene Graphs for Layout Composition and Patch Retrieval. CVPR Workshops 2019: 676-683
Informal and Other Publications
- 2024
- [i14]Anthony Sarah, Sharath Nittur Sridhar, Maciej Szankin, Sairam Sundaresan:
LLaMA-NAS: Efficient Neural Architecture Search for Large Language Models. CoRR abs/2405.18377 (2024) - 2023
- [i13]Souvik Kundu, Sairam Sundaresan, Sharath Nittur Sridhar, Shunlin Lu, Han Tang, Peter A. Beerel:
Sparse Mixture Once-for-all Adversarial Training for Efficient In-Situ Trade-Off Between Accuracy and Robustness of DNNs. CoRR abs/2302.03523 (2023) - [i12]Souvik Kundu, Sharath Nittur Sridhar, Maciej Szankin, Sairam Sundaresan:
Sensi-BERT: Towards Sensitivity Driven Fine-Tuning for Parameter-Efficient BERT. CoRR abs/2307.11764 (2023) - [i11]Sharath Nittur Sridhar, Souvik Kundu, Sairam Sundaresan, Maciej Szankin, Anthony Sarah:
InstaTune: Instantaneous Neural Architecture Search During Fine-Tuning. CoRR abs/2308.15609 (2023) - [i10]Sharath Nittur Sridhar, Maciej Szankin, Fang Chen, Sairam Sundaresan, Anthony Sarah:
SimQ-NAS: Simultaneous Quantization Policy and Neural Architecture Search. CoRR abs/2312.13301 (2023) - 2022
- [i9]Sharath Nittur Sridhar, Anthony Sarah, Sairam Sundaresan:
TrimBERT: Tailoring BERT for Trade-offs. CoRR abs/2202.12411 (2022) - [i8]Anthony Sarah, Daniel Cummings, Sharath Nittur Sridhar, Sairam Sundaresan, Maciej Szankin, Tristan Webb, J. Pablo Munoz:
A Hardware-Aware System for Accelerating Deep Neural Network Optimization. CoRR abs/2202.12954 (2022) - [i7]Souvik Kundu, Sairam Sundaresan, Massoud Pedram, Peter A. Beerel:
A Fast and Efficient Conditional Learning for Tunable Trade-Off between Accuracy and Robustness. CoRR abs/2204.00426 (2022) - [i6]Daniel Cummings, Anthony Sarah, Sharath Nittur Sridhar, Maciej Szankin, Juan Pablo Muñoz, Sairam Sundaresan:
A Hardware-Aware Framework for Accelerating Neural Architecture Search Across Modalities. CoRR abs/2205.10358 (2022) - 2021
- [i5]Souvik Kundu, Sairam Sundaresan:
AttentionLite: Towards Efficient Self-Attention Models for Vision. CoRR abs/2101.05216 (2021) - 2020
- [i4]Zhiyu Chen, Wenhu Chen, Hanwen Zha, Xiyou Zhou, Yunkai Zhang, Sairam Sundaresan, William Yang Wang:
Logic2Text: High-Fidelity Natural Language Generation from Logical Forms. CoRR abs/2004.14579 (2020) - [i3]Juan Emmanuel Johnson, Sairam Sundaresan, Tansu Daylan, Lisseth Gavilan, Daniel K. Giles, Stela Ishitani Silva, Anna Jungbluth, Brett M. Morris, Andrés Muñoz-Jaramillo:
RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks. CoRR abs/2012.01985 (2020) - [i2]Souvik Kundu, Hesham Mostafa, Sharath Nittur Sridhar, Sairam Sundaresan:
Attention-based Image Upsampling. CoRR abs/2012.09904 (2020) - 2019
- [i1]Subarna Tripathi, Sharath Nittur Sridhar, Sairam Sundaresan, Hanlin Tang:
Compact Scene Graphs for Layout Composition and Patch Retrieval. CoRR abs/1904.09348 (2019)
Coauthor Index
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