Sharath Nittur Sridhar

31 papers A* 1Misc 2Journal 20Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs. ICCVW Ivan Rodin, Tz-Ying Wu, Kyle Min, Sharath Nittur Sridhar, Antonino Furnari, Subarna Tripathi, Giovanni Maria Farinella
2025	J	`jnl`	EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs. CoRR Ivan Rodin, Tz-Ying Wu, Kyle Min, Sharath Nittur Sridhar, Antonino Furnari, Subarna Tripathi, Giovanni Maria Farinella
2025	J	`jnl`	Harnessing Object Grounding for Time-Sensitive Video Understanding. CoRR Tz-Ying Wu, Sharath Nittur Sridhar, Subarna Tripathi
2025	J	`jnl`	Improving the Throughput of Diffusion-based Large Language Models via a Training-Free Confidence-Aware Calibration. CoRR Jucheng Shen, Gaurav Sarkar, Yeonju Ro, Sharath Nittur Sridhar, Zhangyang Wang, Aditya Akella, Souvik Kundu
2025	—	`conf`	LLM-NPU: Towards Efficient Foundation Model Inference on Low-Power Neural Processing Units. COINS Arnab Raha, Souvik Kundu, Sharath Nittur Sridhar, Shamik Kundu, Soumendu Kumar Ghosh, Alessandro Palla, Arghadip Das, Darren Crews, Deepak A. Mathaikutty
2025	—	`conf`	LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model Compression. NAACL (Findings) Souvik Kundu, Anahita Bhiwandiwalla, Sungduk Yu, Phillip Howard, Tiep Le, Sharath Nittur Sridhar, David Cobbley, Hao Kang, Vasudev Lal
2025	J	`jnl`	LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model Compression. CoRR Souvik Kundu, Anahita Bhiwandiwalla, Sungduk Yu, Phillip Howard, Tiep Le, Sharath Nittur Sridhar, David Cobbley, Hao Kang, Vasudev Lal
2025	J	`jnl`	SkipKV: Selective Skipping of KV Generation and Storage for Efficient Inference with Large Reasoning Models. CoRR Jiayi Tian, Seyedarmin Azizi, Yequan Zhao, Erfan Baghaei Potraghloo, Sean McPherson, Sharath Nittur Sridhar, Zhengyang Wang, Zheng Zhang, Massoud Pedram, Souvik Kundu
2025	—	`conf`	Toward Scalable Video Narration: A Training-Free Approach Using Multimodal Large Language Models. ICCVW Tz-Ying Wu, Tahani Trigui, Sharath Nittur Sridhar, Anand V. Bodas, Subarna Tripathi
2025	J	`jnl`	Toward Scalable Video Narration: A Training-free Approach Using Multimodal Large Language Models. CoRR Tz-Ying Wu, Tahani Trigui, Sharath Nittur Sridhar, Anand V. Bodas, Subarna Tripathi
2024	—	`conf`	LLaMA-NAS: Efficient Neural Architecture Search for Large Language Models. ECCV Workshops (11) Anthony Sarah, Sharath Nittur Sridhar, Maciej Szankin, Sairam Sundaresan
2024	J	`jnl`	LLaMA-NAS: Efficient Neural Architecture Search for Large Language Models. CoRR Anthony Sarah, Sharath Nittur Sridhar, Maciej Szankin, Sairam Sundaresan
2024	Misc	`conf`	Sensi-Bert: Towards Sensitivity Driven Fine-Tuning for Parameter-Efficient Language Model. ICASSP Souvik Kundu, Sharath Nittur Sridhar, Maciej Szankin, Sairam Sundaresan
2023	—	`conf`	InstaTune: Instantaneous Neural Architecture Search During Fine-Tuning. ICCV (Workshops) Sharath Nittur Sridhar, Souvik Kundu, Sairam Sundaresan, Maciej Szankin, Anthony Sarah
2023	J	`jnl`	InstaTune: Instantaneous Neural Architecture Search During Fine-Tuning. CoRR Sharath Nittur Sridhar, Souvik Kundu, Sairam Sundaresan, Maciej Szankin, Anthony Sarah
2023	J	`jnl`	Sensi-BERT: Towards Sensitivity Driven Fine-Tuning for Parameter-Efficient BERT. CoRR Souvik Kundu, Sharath Nittur Sridhar, Maciej Szankin, Sairam Sundaresan
2023	J	`jnl`	SimQ-NAS: Simultaneous Quantization Policy and Neural Architecture Search. CoRR Sharath Nittur Sridhar, Maciej Szankin, Fang Chen, Sairam Sundaresan, Anthony Sarah
2023	J	`jnl`	Sparse Mixture Once-for-all Adversarial Training for Efficient In-Situ Trade-Off Between Accuracy and Robustness of DNNs. CoRR Souvik Kundu, Sairam Sundaresan, Sharath Nittur Sridhar, Shunlin Lu, Han Tang, Peter A. Beerel
2023	Misc	`conf`	Sparse Mixture Once-for-all Adversarial Training for Efficient in-situ Trade-off between Accuracy and Robustness of DNNs. ICASSP Souvik Kundu, Sairam Sundaresan, Sharath Nittur Sridhar, Shunlin Lu, Han Tang, Peter A. Beerel
2022	J	`jnl`	A Hardware-Aware Framework for Accelerating Neural Architecture Search Across Modalities. CoRR Daniel Cummings, Anthony Sarah, Sharath Nittur Sridhar, Maciej Szankin, Juan Pablo Muñoz, Sairam Sundaresan
2022	J	`jnl`	A Hardware-Aware System for Accelerating Deep Neural Network Optimization. CoRR Anthony Sarah, Daniel Cummings, Sharath Nittur Sridhar, Sairam Sundaresan, Maciej Szankin, Tristan Webb, J. Pablo Munoz
2022	J	`jnl`	Accelerating Neural Architecture Exploration Across Modalities Using Genetic Algorithms. CoRR Daniel Cummings, Sharath Nittur Sridhar, Anthony Sarah, Maciej Szankin
2022	—	`conf`	Accelerating neural architecture exploration across modalities using genetic algorithms. GECCO Companion Daniel Cummings, Sharath Nittur Sridhar, Anthony Sarah, Maciej Szankin
2022	J	`jnl`	TrimBERT: Tailoring BERT for Trade-offs. CoRR Sharath Nittur Sridhar, Anthony Sarah, Sairam Sundaresan
2020	J	`jnl`	Attention-based Image Upsampling. CoRR Souvik Kundu, Hesham Mostafa, Sharath Nittur Sridhar, Sairam Sundaresan
2020	J	`jnl`	Undivided Attention: Are Intermediate Layers Necessary for BERT? CoRR Sharath Nittur Sridhar, Anthony Sarah
2019	—	`conf`	Compact Scene Graphs for Layout Composition and Patch Retrieval. CVPR Workshops Subarna Tripathi, Sharath Nittur Sridhar, Sairam Sundaresan, Hanlin Tang
2019	J	`jnl`	Compact Scene Graphs for Layout Composition and Patch Retrieval. CoRR Subarna Tripathi, Sharath Nittur Sridhar, Sairam Sundaresan, Hanlin Tang
2018	J	`jnl`	Fast Weight Long Short-Term Memory. CoRR T. Anderson Keller, Sharath Nittur Sridhar, Xin Wang
2017	A*	`conf`	Driving in the Matrix: Can virtual worlds replace human-generated annotations for real world tasks? ICRA Matthew Johnson-Roberson, Charles Barto, Rounak Mehta, Sharath Nittur Sridhar, Karl Rosaen, Ram Vasudevan
2016	J	`jnl`	Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks? CoRR Matthew Johnson-Roberson, Charles Barto, Rounak Mehta, Sharath Nittur Sridhar, Ram Vasudevan