RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search

13 September 2021

Papers citing "RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search"

9 / 9 papers shown

Title
Compute-in-Memory based Neural Network Accelerators for Safety-Critical Systems: Worst-Case Scenarios and Protections Zheyu Yan X. Hu Yiyu Shi AAML 15 1 0 11 Dec 2023
U-SWIM: Universal Selective Write-Verify for Computing-in-Memory Neural Accelerators Zheyu Yan X. Hu Yiyu Shi 24 1 0 11 Dec 2023
Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators through Training with Right-Censored Gaussian Noise Zheyu Yan Yifan Qin Wujie Wen X. Hu Yi Shi 33 13 0 29 Jul 2023
Efficient Automation of Neural Network Design: A Survey on Differentiable Neural Architecture Search Alexandre Heuillet A. Nasser Hichem Arioui Hedi Tabia AI4CE 11 11 0 11 Apr 2023
RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference Hongwu Peng Shangli Zhou Yukui Luo Nuo Xu Shijin Duan ... Chenghong Wang Tong Geng Wujie Wen Xiaolin Xu Caiwen Ding 11 16 0 05 Feb 2023
Computing-In-Memory Neural Network Accelerators for Safety-Critical Systems: Can Small Device Variations Be Disastrous? Zheyu Yan X. S. Hu Yiyu Shi 40 19 0 15 Jul 2022
SWIM: Selective Write-Verify for Computing-in-Memory Neural Accelerators Zheyu Yan X. S. Hu Yiyu Shi 23 23 0 17 Feb 2022
Uncertainty Modeling of Emerging Device-based Computing-in-Memory Neural Accelerators with Application to Neural Architecture Search Zheyu Yan Da-Cheng Juan X. S. Hu Yiyu Shi 30 24 0 06 Jul 2021
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,290 0 05 Nov 2016