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SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks., , , , , , , , and . CoRR, (2018)Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search., , , , and . AAAI, page 9983-9991. AAAI Press, (2020)Sample-Efficient Neural Architecture Search by Learning Action Space, , , , and . (2019)cite arxiv:1906.06832.Building an Intelligent Agent to Design Neural Networks.. Brown University, USA, (2022)FFT-based Gradient Sparsification for the Distributed Training of Deep Neural Networks., , , , , , and . HPDC, page 113-124. ACM, (2020)Towards Interactive Data Exploration., , , , , , , , , and 12 other author(s). BIRTE (Revised Selected Papers), volume 337 of Lecture Notes in Business Information Processing, page 177-190. Springer, (2017)ADAPT: an event-based adaptive collective communication framework., , , , , and . HPDC, page 118-130. ACM, (2018)Searching the Deployable Convolution Neural Networks for GPUs., , , , , and . CVPR, page 12217-12226. IEEE, (2022)Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search., , and . NeurIPS, (2020)Superneurons: dynamic GPU memory management for training deep neural networks., , , , , , , and . PPoPP, page 41-53. ACM, (2018)