Nilesh Jain

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 22

Top Topics

Memory Efficient

Manifold Learning

Rank Minimization

Pareto Dominance

Top Venues

Proc. VLDB Endow.

Publications

Juan Pablo Muñoz, Jinjie Yuan, Yi Zheng, Nilesh Jain
LoNAS: Elastic Low-Rank Adapters for Efficient Large Language Models. LREC/COLING (2024)
Yi-Chien Lin, Yuyang Chen, Sameh Gobriel, Nilesh Jain, Gopi Krishna Jha, Viktor K. Prasanna
ARGO: An Auto-Tuning Runtime System for Scalable GNN Training on Multi-Core Processor. CoRR (2024)
J. Pablo Muñoz, Jinjie Yuan, Nilesh Jain
Shears: Unstructured Sparsity with Neural Low-rank Adapter Search. CoRR (2024)
Yi-Chien Lin, Yuyang Chen, Sameh Gobriel, Nilesh Jain, Gopi Krishna Jha, Viktor K. Prasanna
ARGO: An Auto-Tuning Runtime System for Scalable GNN Training on Multi-Core Processor. IPDPS (2024)
Juan Pablo Muñoz, Yi Zheng, Nilesh Jain
EFTNAS: Searching for Efficient Language Models in First-Order Weight-Reordered Super-Networks. LREC/COLING (2024)
Adrian Zhao, Louis Zhang, Sankeerth Durvasula, Fan Chen, Nilesh Jain, Selvakumar Panneer, Nandita Vijaykumar
Distributed Training of Neural Radiance Fields: A Performance Characterization. ISPASS (2024)
Gopi Krishna Jha, Anthony Thomas, Nilesh Jain, Sameh Gobriel, Tajana Rosing, Ravi R. Iyer
Mem-Rec: Memory Efficient Recommendation System using Alternative Representation. ACML (2023)
Gopi Krishna Jha, Anthony Thomas, Nilesh Jain, Sameh Gobriel, Tajana Rosing, Ravi Iyer
Mem-Rec: Memory Efficient Recommendation System using Alternative Representation. CoRR (2023)
Yash Akhauri, Juan Pablo Muñoz, Nilesh Jain, Ravi Iyer
EZNAS: Evolving Zero-Cost Proxies For Neural Architecture Scoring. NeurIPS (2022)
Santiago Miret, Vui Seng Chua, Mattias Marder, Mariano Phiellip, Nilesh Jain, Somdeb Majumdar
Neuroevolution-enhanced multi-objective optimization for mixed-precision quantization. GECCO (2022)
Yash Akhauri, J. Pablo Munoz, Nilesh Jain, Ravi Iyer
Evolving Zero Cost Proxies For Neural Architecture Scoring. CoRR (2022)
Anthony Thomas, Behnam Khaleghi, Gopi Krishna Jha, Sanjoy Dasgupta, Nageen Himayat, Ravi Iyer, Nilesh Jain, Tajana Rosing
Streaming Encoding Algorithms for Scalable Hyperdimensional Computing. CoRR (2022)
Juan Pablo Muñoz, Nikolay Lyalyushkin, Chaunte Willetta Lacewell, Anastasia Senina, Daniel Cummings, Anthony Sarah, Alexander Kozlov, Nilesh Jain
Automated Super-Network Generation for Scalable Neural Architecture Search. AutoML (2022)
Chaunte Lacewell, Nilesh Ahuja, Pablo Munoz, Parual Datta, Ragaad Altarawneh, Vui Seng Chua, Nilesh Jain, Omesh Tickoo, Ravi Iyer
E2E Visual Analytics: Achieving >10X Edge/Cloud Optimizations. NAS (2021)
Srivatsa Srinivasa, Akshay Krishna Ramanathan, Jainaveen Sundaram, Dileep Kurian, Srinivasan Gopal, Nilesh Jain, Anuradha Srinivasan, Ravi R. Iyer, Vijaykrishnan Narayanan, Tanay Karnik
Trends and Opportunities for SRAM Based In-Memory and Near-Memory Computation. ISQED (2021)
Santiago Miret, Vui Seng Chua, Mattias Marder, Mariano Phielipp, Nilesh Jain, Somdeb Majumdar
Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization. CoRR (2021)
Yash Akhauri, Adithya Niranjan, J. Pablo Muñoz, Suvadeep Banerjee, Abhijit Davare, Pasquale Cocchini, Anton A. Sorokin, Ravi Iyer, Nilesh Jain
RHNAS: Realizable Hardware and Neural Architecture Search. CoRR (2021)
J. Pablo Muñoz, Nikolay Lyalyushkin, Yash Akhauri, Anastasia Senina, Alexander Kozlov, Nilesh Jain
Enabling NAS with Automated Super-Network Generation. CoRR (2021)
Ted Shaowang, Nilesh Jain, Dennis Matthews, Sanjay Krishnan
Declarative Data Serving: The Future of Machine Learning Inference on the Edge. Proc. VLDB Endow. 14 (11) (2021)
Jainaveen Sundaram, Srivatsa Rangachar Srinivasa, Dileep Kurian, Indranil Chakraborty, Sirisha Rani Kale, Nilesh Jain, Tanay Karnik, Ravi R. Iyer, Anuradha Srinivasan
A 93 TOPS/Watt Near-Memory Reconfigurable SAD Accelerator for HEVC/AV1/JEM Encoding. DATE (2021)
Yuliang Cai, Sumit Mohan, Adithya Niranjan, Nilesh Jain, Alex Cloninger, Srinjoy Das
A Manifold Learning based Video Prediction approach for Deep Motion Transfer. ICCVW (2021)
Vui Seng Chua, Julio Zamora-Esquivel, Anindya Sao Paul, Thawee Techathamnukool, Carlos Flores Fajardo, Nilesh Jain, Omesh Tickoo, Ravi R. Iyer
Visual IoT: Ultra-Low-Power Processing Architectures and Implications. IEEE Micro 37 (6) (2017)
Nilesh Jain, Guangdeng Liao, Theodore L. Willke
GraphBuilder: scalable graph ETL framework. GRADES (2013)