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2020 – today
- 2022
[c6]Varad Pimpalkhute, Shruti Kunde, Rekha Singhal, Surya Palepu, Dheeraj Chahal, Amey Pandit:
MetaFaaS: learning-to-learn on serverless. BiDEDE@SIGMOD 2022: 1:1-1:9- [c5]Shruti Kunde, Sharod Roy Choudhury, Amey Pandit, Rekha Singhal:
Learning-to-learn efficiently with self-learning. DEEM@SIGMOD 2022: 8:1-8:11 - 2021
- [c4]Shruti Kunde, Amey Pandit, Kushagra Mahajan, Monika Sharma, Rekha Singhal, Lovekesh Vig:
Data-Efficient Training of High-Resolution Images in Medical Domain. ESANN 2021 - [c3]Shruti Kunde, Amey Pandit, Mayank Mishra, Rekha Singhal:
Distributed training for accelerating metalearning algorithms. BiDEDE@SIGMOD 2021: 2:1-2:6 - [i2]Piyush Manavar, Manoj Nambiar, Nupur Sumeet, Rekha Singhal, Sharod Choudhary, Amey Pandit:
Experience with PCIe streaming on FPGA for high throughput ML inferencing. CoRR abs/2110.11719 (2021) - [i1]Varad Pimpalkhute
, Amey Pandit, Mayank Mishra, Rekha Singhal:
Accelerating Gradient-based Meta Learner. CoRR abs/2110.14459 (2021) - 2020
- [c2]Shruti Kunde, Amey Pandit, Rekha Singhal:
Benchmarking performance of RaySGD and Horovod for big data applications. IEEE BigData 2020: 2757-2762 - [c1]Shruti Kunde, Mayank Mishra, Amey Pandit, Rekha Singhal, Manoj Karunakaran Nambiar, Gautam Shroff, Shashank Gupta:
Recommending in changing times. RecSys 2020: 714-719
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