Alind Khare

According to our database, Alind Khare authored at least 18 papers between 2017 and 2025.

Collaborative distances:

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

2025

Toward Weight Sharing Paradigm for Efficient AI: Training and Inference Serving.

Payman Behnam, Alind Khare, Dhruv Garg, Alexey Tumanov

ACM SIGOPS Oper. Syst. Rev., July, 2025

Towards Efficient Large Multimodal Model Serving.

Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca

CoRR, February, 2025

Efficient AI Stack: Deployment-Aware Neural Architecture Search and Serving of Deep Neural Networks.

Alind Khare

PhD thesis, 2025

∇QDARTS: Quantization as an Elastic Dimension to Differentiable NAS.

Payman Behnam, Uday Kamal, Sanjana Vijay Ganesh, Zhaoyi Li, Michael Jurado, Alind Khare, Igor Fedorov, Gaowen Liu, Alexey Tumanov

Trans. Mach. Learn. Res., 2025

SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads.

Alind Khare, Dhruv Garg, Sukrit Kalra, Snigdha Grandhi, Ion Stoica, Alexey Tumanov

Proceedings of the 22nd USENIX Symposium on Networked Systems Design and Implementation, 2025

2024

DεS: Delayed ε-Shrinking for Faster Once-For-All Training.

Aditya Annavajjala, Alind Khare, Animesh Agrawal, Igor Fedorov, Hugo Latapie, Myungjin Lee, Alexey Tumanov

CoRR, 2024

SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-device Inference.

Alind Khare, Animesh Agrawal, Aditya Annavajjala, Payman Behnam, Myungjin Lee, Hugo Latapie, Alexey Tumanov

Proceedings of the Computer Vision - ECCV 2024, 2024

DεpS: Delayed ε-Shrinking for Faster Once-for-All Training.

Aditya Annavajjala, Alind Khare, Animesh Agrawal, Igor Fedorov, Hugo Latapie, Myungjin Lee, Alexey Tumanov

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Hardware-Software Co-Design for Real-Time Latency-Accuracy Navigation in Tiny Machine Learning Applications.

Payman Behnam, Jianming Tong, Alind Khare, Yangyu Chen, Yue Pan, Pranav Gadikar, Abhimanyu Bambhaniya, Tushar Krishna, Alexey Tumanov

IEEE Micro, 2023

ABKD: Graph Neural Network Compression with Attention-Based Knowledge Distillation.

Anshul Ahluwalia, Rohit Das, Payman Behnam, Alind Khare, Pan Li, Alexey Tumanov

CoRR, 2023

SuperFed: Weight Shared Federated Learning.

Alind Khare, Animesh Agrawal, Myungjin Lee, Alexey Tumanov

CoRR, 2023

Subgraph Stationary Hardware-Software Inference Co-Design.

Payman Behnam, Alexey Tumanov, Tushar Krishna, Pranav Gadikar, Yangyu Chen, Jianming Tong, Yue Pan, Abhimanyu Rajeshkumar Bambhaniya, Alind Khare

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

2022

UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification.

Yanbo Xu, Alind Khare, Glenn Matlin, Monish Ramadoss, Rishikesan Kamaleswaran, Chao Zhang, Alexey Tumanov

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

2021

CompOFA - Compound Once-For-All Networks for Faster Multi-Platform Deployment.

Manas Sahni, Shreya Varshini, Alind Khare, Alexey Tumanov

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units.

Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

A Simple Dynamic Learning Rate Tuning Algorithm For Automated Training of DNNs.

Koyel Mukherjee, Alind Khare, Ashish Verma

CoRR, 2019

2017

HCudaBLAST: an implementation of BLAST on Hadoop and Cuda.

Nilay Khare, Alind Khare, Farhan Khan

J. Big Data, 2017

Distributed Algorithm for High-Utility Subgraph Pattern Mining Over Big Data Platforms.

Alind Khare, Vikram Goyal, Srikanth Baride, Sushil K. Prasad, Michael McDermott, Dhara Shah

Proceedings of the 24th IEEE International Conference on High Performance Computing, 2017