Nilesh Jain

According to our database, Nilesh Jain authored at least 20 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Shears: Unstructured Sparsity with Neural Low-rank Adapter Search.

J. Pablo Muñoz, Jinjie Yuan, Nilesh Jain

CoRR, 2024

ARGO: An Auto-Tuning Runtime System for Scalable GNN Training on Multi-Core Processor.

Yi-Chien Lin, Yuyang Chen, Sameh Gobriel, Nilesh Jain, Gopi Krishna Jha, Viktor K. Prasanna

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

EFTNAS: Searching for Efficient Language Models in First-Order Weight-Reordered Super-Networks.

Juan Pablo Muñoz, Yi Zheng, Nilesh Jain

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

LoNAS: Elastic Low-Rank Adapters for Efficient Large Language Models.

Juan Pablo Muñoz, Jinjie Yuan, Yi Zheng, Nilesh Jain

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Mem-Rec: Memory Efficient Recommendation System using Alternative Representation.

Gopi Krishna Jha, Anthony Thomas, Nilesh Jain, Sameh Gobriel, Tajana Rosing, Ravi R. Iyer

Proceedings of the Asian Conference on Machine Learning, 2023

2022

Streaming Encoding Algorithms for Scalable Hyperdimensional Computing.

Anthony Thomas, Behnam Khaleghi, Gopi Krishna Jha, Sanjoy Dasgupta, Nageen Himayat, Ravi Iyer, Nilesh Jain, Tajana Rosing

CoRR, 2022

Evolving Zero Cost Proxies For Neural Architecture Scoring.

Yash Akhauri, J. Pablo Munoz, Nilesh Jain, Ravi Iyer

CoRR, 2022

EZNAS: Evolving Zero-Cost Proxies For Neural Architecture Scoring.

Yash Akhauri, Juan Pablo Muñoz, Nilesh Jain, Ravi Iyer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neuroevolution-enhanced multi-objective optimization for mixed-precision quantization.

Santiago Miret, Vui Seng Chua, Mattias Marder, Mariano Phiellip, Nilesh Jain, Somdeb Majumdar

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Automated Super-Network Generation for Scalable Neural Architecture Search.

Juan Pablo Muñoz, Nikolay Lyalyushkin, Chaunte Willetta Lacewell, Anastasia Senina, Daniel Cummings, Anthony Sarah, Alexander Kozlov, Nilesh Jain

Proceedings of the International Conference on Automated Machine Learning, 2022

2021

Declarative Data Serving: The Future of Machine Learning Inference on the Edge.

Ted Shaowang, Nilesh Jain, Dennis Matthews, Sanjay Krishnan

Proc. VLDB Endow., 2021

Enabling NAS with Automated Super-Network Generation.

J. Pablo Muñoz, Nikolay Lyalyushkin, Yash Akhauri, Anastasia Senina, Alexander Kozlov, Nilesh Jain

CoRR, 2021

RHNAS: Realizable Hardware and Neural Architecture Search.

Yash Akhauri, Adithya Niranjan, J. Pablo Muñoz, Suvadeep Banerjee, Abhijit Davare, Pasquale Cocchini, Anton A. Sorokin, Ravi Iyer, Nilesh Jain

CoRR, 2021

Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization.

Santiago Miret, Vui Seng Chua, Mattias Marder, Mariano Phielipp, Nilesh Jain, Somdeb Majumdar

CoRR, 2021

E2E Visual Analytics: Achieving >10X Edge/Cloud Optimizations.

Chaunte Lacewell, Nilesh A. Ahuja, Pablo Munoz, Parual Datta, Ragaad AlTarawneh, Vui Seng Chua, Nilesh Jain, Omesh Tickoo, Ravi Iyer

Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2021

Trends and Opportunities for SRAM Based In-Memory and Near-Memory Computation.

Srivatsa Srinivasa, Akshay Krishna Ramanathan, Jainaveen Sundaram, Dileep Kurian, Srinivasan Gopal, Nilesh Jain, Anuradha Srinivasan, Ravi R. Iyer, Vijaykrishnan Narayanan, Tanay Karnik

Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

A Manifold Learning based Video Prediction approach for Deep Motion Transfer.

Yuliang Cai, Sumit Mohan, Adithya Niranjan, Nilesh Jain, Alex Cloninger, Srinjoy Das

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

A 93 TOPS/Watt Near-Memory Reconfigurable SAD Accelerator for HEVC/AV1/JEM Encoding.

Jainaveen Sundaram, Srivatsa Rangachar Srinivasa, Dileep Kurian, Indranil Chakraborty, Sirisha Rani Kale, Nilesh Jain, Tanay Karnik, Ravi R. Iyer, Anuradha Srinivasan

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2017

Visual IoT: Ultra-Low-Power Processing Architectures and Implications.

Vui Seng Chua, Julio Zamora-Esquivel, Anindya Sao Paul, Thawee Techathamnukool, Carlos Flores Fajardo, Nilesh Jain, Omesh Tickoo, Ravi R. Iyer

IEEE Micro, 2017

2013

GraphBuilder: scalable graph ETL framework.

Nilesh Jain, Guangdeng Liao, Theodore L. Willke

Proceedings of the First International Workshop on Graph Data Management Experiences and Systems, 2013