M Xie, K Ren, Y Lu, G Yang, Q Xu, B Wu… - … Conference for High …, 2020 - ieeexplore.ieee.org
… online training systemenables more frequent updates to machinelearning models, it is also … This is important because Prediction Parameter Server is memory-bounded and requires …
… differences in howartificial and human intelligence operate. … system, we find that even the most advanced deep learning … To address this challenge, we need to enable AI to learn by …
XH Sun, X Lu - Journal of Computer Science and Technology, 2023 - Springer
… how much work must be increased on a larger machine in order for the efficiency to remain constant… Researchers in artificialintelligence and operations research have been studying …
M Moshkovitz, N Tishby - arXiv preprint arXiv:1712.03524, 2017 - arxiv.org
… We present a general memory-bounded proper learning algorithm in the case … continuous manner, thus we suggest to move a smaller sliding-window of length α/2 in a discrete way …
… This work contributes primarily to the ongoing theoretical … -(k,m), the memory-bounded variant of Dyck-k. Once augmented … We study whether the LSTM’s added complexity enables it to …
D Kim, C Yu, S Xie, Y Chen, JY Kim… - … Circuits and Systems, 2022 - ieeexplore.ieee.org
… method of RowClone-FPM (Fast Parallel Mode) [25]. In addition, they modify the row decoders and drivers to enable … This type of architecture can execute the memory-bounded matrix-…
… This enables the values in the preceding nodes to converge as well, leading to state- or node-… For POMCP and POOLTS we set the UCB1 exploration constant c to the reward range of …
… our memorybounded and communication-bounded learning … as setting b = n would enable each party to just broadcast their … 1 For any constant ϵ > 0, any algorithm for learning PARITY …
… thesis at the system-architecture level enable efficient data … the computational demands imposed by artificialintelligence (AI) … (CPU), and the memory-bounded linear algebra operations …