Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks? - Matthew Johnson-Roberson; Charles Barto; Rounak Mehta; Sharath Nittur Sridhar; Ram Vasudevan (CoRR, 2016)

Driving in the Matrix: Can virtual worlds replace human-generated annotations for real world tasks? - Matthew Johnson-Roberson; Charles Barto; Rounak Mehta; Sharath Nittur Sridhar; Karl Rosaen; Ram Vasudevan (ICRA, 2017)

Fast Weight Long Short-Term Memory. - T. Anderson Keller; Sharath Nittur Sridhar; Xin Wang (CoRR, 2018)

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

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

Undivided Attention: Are Intermediate Layers Necessary for BERT? - Sharath Nittur Sridhar; Anthony Sarah (CoRR, 2020)

Accelerating neural architecture exploration across modalities using genetic algorithms. - Daniel Cummings; Sharath Nittur Sridhar; Anthony Sarah; Maciej Szankin (GECCO Companion, 2022)

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 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)

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)

LLM-NPU: Towards Efficient Foundation Model Inference on Low-Power Neural Processing Units. - Arnab Raha; Souvik Kundu 009; Sharath Nittur Sridhar; Shamik Kundu; Soumendu Kumar Ghosh; Alessandro Palla; Arghadip Das; Darren Crews; Deepak A. Mathaikutty (COINS, 2025)

LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model Compression. - Souvik Kundu 002; Anahita Bhiwandiwalla; Sungduk Yu; Phillip Howard; Tiep Le; Sharath Nittur Sridhar; David Cobbley; Hao Kang; Vasudev Lal (NAACL (Findings), 2025)

EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs. - Ivan Rodin; Tz-Ying Wu; Kyle Min 001; Sharath Nittur Sridhar; Antonino Furnari; Subarna Tripathi; Giovanni Maria Farinella (CoRR, 2025)

Toward Scalable Video Narration: A Training-free Approach Using Multimodal Large Language Models. - Tz-Ying Wu; Tahani Trigui; Sharath Nittur Sridhar; Anand V. Bodas; Subarna Tripathi (CoRR, 2025)