Urmish Thakker
Orcid: 0000-0002-0515-9155
According to our database1,
Urmish Thakker
authored at least 32 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts.
CoRR, 2024
SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts.
Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024
2023
2022
IEEE Internet Things J., 2022
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts.
CoRR, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022
2021
ACM J. Emerg. Technol. Comput. Syst., 2021
Doping: A technique for efficient compression of LSTM models using sparse structured additive matrices.
CoRR, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Doping: A technique for Extreme Compression of LSTM Models using Sparse Structured Additive Matrices.
Proceedings of the Fourth Conference on Machine Learning and Systems, 2021
MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers.
Proceedings of the Fourth Conference on Machine Learning and Systems, 2021
2020
Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art.
CoRR, 2020
Understanding the Impact of Dynamic Channel Pruning on Conditionally Parameterized Convolutions.
Proceedings of the AIChallengeIoT@SenSys 2020: Proceedings of the 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things, 2020
Proceedings of the AIChallengeIoT@SenSys 2020: Proceedings of the 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things, 2020
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
A Static Analysis-based Cross-Architecture Performance Prediction Using Machine Learning.
CoRR, 2019
Proceedings of the 1st Workshop on Machine Learning on Edge in Sensor Systems, 2019
Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019
Proceedings of the 2nd Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications, 2019