Amey Pandit

According to our database, Amey Pandit authored at least 8 papers between 2020 and 2022.

Collaborative distances:

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

2022

Learning-to-learn efficiently with self-learning.

Shruti Kunde, Sharod Roy Choudhury, Amey Pandit, Rekha Singhal

Proceedings of the DEEM '22: Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning Philadelphia, 2022

MetaFaaS: learning-to-learn on serverless.

Varad Pimpalkhute, Shruti Kunde, Rekha Singhal, Surya Palepu, Dheeraj Chahal, Amey Pandit

Proceedings of the BiDEDE '22: Proceedings of The International Workshop on Big Data in Emergent Distributed Environments, 2022

2021

Accelerating Gradient-based Meta Learner.

Varad Pimpalkhute, Amey Pandit, Mayank Mishra, Rekha Singhal

CoRR, 2021

Experience with PCIe streaming on FPGA for high throughput ML inferencing.

Piyush Manavar, Manoj Nambiar, Nupur Sumeet, Rekha Singhal, Sharod Choudhary, Amey Pandit

CoRR, 2021

Distributed training for accelerating metalearning algorithms.

Shruti Kunde, Amey Pandit, Mayank Mishra, Rekha Singhal

Proceedings of the BiDEDE '21: Proceedings of the International Workshop on Big Data in Emergent Distributed Environments, 2021

Data-Efficient Training of High-Resolution Images in Medical Domain.

Shruti Kunde, Amey Pandit, Kushagra Mahajan, Monika Sharma, Rekha Singhal, Lovekesh Vig

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

Recommending in changing times.

Shruti Kunde, Mayank Mishra, Amey Pandit, Rekha Singhal, Manoj Karunakaran Nambiar, Gautam Shroff, Shashank Gupta

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Benchmarking performance of RaySGD and Horovod for big data applications.

Shruti Kunde, Amey Pandit, Rekha Singhal

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020