Alind Khare

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Multilayer Neural Networks

Learning Models

Candidate Pruning

Machine Learning

Top Venues

Publications

Aditya Annavajjala, Alind Khare, Animesh Agrawal, Igor Fedorov, Hugo Latapie, Myungjin Lee, Alexey Tumanov
DεS: Delayed ε-Shrinking for Faster Once-For-All Training. CoRR (2024)
Payman Behnam, Jianming Tong, Alind Khare, Yangyu Chen, Yue Pan, Pranav Gadikar, Abhimanyu Rajeshkumar Bambhaniya, Tushar Krishna, Alexey Tumanov
Subgraph Stationary Hardware-Software Inference Co-Design. CoRR (2023)
Alind Khare, Dhruv Garg, Sukrit Kalra, Snigdha Grandhi, Ion Stoica, Alexey Tumanov
SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads. CoRR (2023)
Payman Behnam, Jianming Tong, Alind Khare, Yangyu Chen, Yue Pan, Pranav Gadikar, Abhimanyu Bambhaniya, Tushar Krishna, Alexey Tumanov
Hardware-Software Co-Design for Real-Time Latency-Accuracy Navigation in Tiny Machine Learning Applications. IEEE Micro 43 (6) (2023)
Alind Khare, Animesh Agrawal, Myungjin Lee, Alexey Tumanov
SuperFed: Weight Shared Federated Learning. CoRR (2023)
Payman Behnam, Alexey Tumanov, Tushar Krishna, Pranav Gadikar, Yangyu Chen, Jianming Tong, Yue Pan, Abhimanyu Rajeshkumar Bambhaniya, Alind Khare
Subgraph Stationary Hardware-Software Inference Co-Design. MLSys (2023)
Anshul Ahluwalia, Rohit Das, Payman Behnam, Alind Khare, Pan Li, Alexey Tumanov
ABKD: Graph Neural Network Compression with Attention-Based Knowledge Distillation. CoRR (2023)
Yanbo Xu, Alind Khare, Glenn Matlin, Monish Ramadoss, Rishikesan Kamaleswaran, Chao Zhang, Alexey Tumanov
UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification. NeurIPS (2022)
Yanbo Xu, Alind Khare, Glenn Matlin, Monish Ramadoss, Rishikesan Kamaleswaran, Chao Zhang, Alexey Tumanov
UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification. CoRR (2022)
Manas Sahni, Shreya Varshini, Alind Khare, Alexey Tumanov
CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment. CoRR (2021)
Manas Sahni, Shreya Varshini, Alind Khare, Alexey Tumanov
CompOFA - Compound Once-For-All Networks for Faster Multi-Platform Deployment. ICLR (2021)
Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. KDD (2020)
Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. CoRR (2020)
Koyel Mukherjee, Alind Khare, Ashish Verma
A Simple Dynamic Learning Rate Tuning Algorithm For Automated Training of DNNs. CoRR (2019)
Alind Khare, Vikram Goyal, Srikanth Baride, Sushil K. Prasad, Michael McDermott, Dhara Shah
Distributed Algorithm for High-Utility Subgraph Pattern Mining Over Big Data Platforms. HiPC (2017)
Nilay Khare, Alind Khare, Farhan Khan
HCudaBLAST: an implementation of BLAST on Hadoop and Cuda. J. Big Data 4 (2017)