3 citations · 6 across the 4 of their papers we have counts for
4 papers
RAPID: Enabling Fast Online Policy Learning in Dynamic Public Cloud Environments
Drew Penney, Bin Li, Lizhong Chen +6
Resource sharing between multiple workloads has become a prominent practice among cloud service providers, motivated by demand for improved resource utilization and reduced cost of…
Mitigating Sampling Bias and Improving Robustness in Active Learning
Ranganath Krishnan, Alok Sinha, Nilesh Ahuja +3
This paper presents simple and efficient methods to mitigate sampling bias in active learning while achieving state-of-the-art accuracy and model robustness. We introduce supervise…
RHNAS: Realizable Hardware and Neural Architecture Search
Yash Akhauri, Adithya Niranjan, J. Pablo Muñoz +6
The rapidly evolving field of Artificial Intelligence necessitates automated approaches to co-design neural network architecture and neural accelerators to maximize system efficien…
Neural Cache: Bit-Serial In-Cache Acceleration of Deep Neural Networks
Charles Eckert, Xiaowei Wang, Jingcheng Wang +5
This paper presents the Neural Cache architecture, which re-purposes cache structures to transform them into massively parallel compute units capable of running inferences for Deep…