Yash Akhauri

According to our database1, Yash Akhauri authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Radial Networks: Dynamic Layer Routing for High-Performance Large Language Models.
CoRR, 2024

On Latency Predictors for Neural Architecture Search.
Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

Encodings for Prediction-based Neural Architecture Search.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Multi-Predict: Few Shot Predictors For Efficient Neural Architecture Search.
Proceedings of the International Conference on Automated Machine Learning, 2023

2022
Evolving Zero Cost Proxies For Neural Architecture Scoring.
CoRR, 2022

EZNAS: Evolving Zero-Cost Proxies For Neural Architecture Scoring.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Enabling NAS with Automated Super-Network Generation.
CoRR, 2021

RHNAS: Realizable Hardware and Neural Architecture Search.
CoRR, 2021

2020
Exposing Hardware Building Blocks to Machine Learning Frameworks.
CoRR, 2020

LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications.
Proceedings of the 30th International Conference on Field-Programmable Logic and Applications, 2020

High-Throughput DNN Inference with LogicNets.
Proceedings of the 28th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2020

2019
HadaNets: Flexible Quantization Strategies for Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019


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