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Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition., , , , , , and . CoRR, (2017)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)Efficient Communications in Training Large Scale Neural Networks., , , , , , , and . ACM Multimedia (Thematic Workshops), page 110-116. ACM, (2017)GPUNet: Searching the Deployable Convolution Neural Networks for GPUs., , , , , and . CoRR, (2022)Few-Shot Neural Architecture Search., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 12707-12718. PMLR, (2021)Learning Space Partitions for Path Planning., , , , , , , , and . NeurIPS, page 378-391. (2021)Warp-Consolidation: A Novel Execution Model for GPUs., , , , and . ICS, page 53-64. ACM, (2018)AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search., , and . CoRR, (2018)Sample-Efficient Neural Architecture Search by Learning Action Space., , , , and . CoRR, (2019)