Search Results for author: Simin Liu

Found 4 papers, 1 papers with code

A framework for learned sparse sketches

no code implementations1 Jan 2021 Simin Liu, Tianrui Liu, Ali Vakilian, Yulin Wan, David Woodruff

In this work, we consider the problem of optimizing sketches to obtain low approximation error over a data distribution.

Overview of FPGA deep learning acceleration based on convolutional neural network

no code implementations23 Dec 2020 Simin Liu

In recent years, deep learning has become more and more mature, and as a commonly used algorithm in deep learning, convolutional neural networks have been widely used in various visual tasks.

Learning the Positions in CountSketch

no code implementations20 Jul 2020 Simin Liu, Tianrui Liu, Ali Vakilian, Yulin Wan, David P. Woodruff

Despite the growing body of work on this paradigm, a noticeable omission is that the locations of the non-zero entries of previous algorithms were fixed, and only their values were learned.

Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning

2 code implementations ICLR 2019 Anusha Nagabandi, Ignasi Clavera, Simin Liu, Ronald S. Fearing, Pieter Abbeel, Sergey Levine, Chelsea Finn

Although reinforcement learning methods can achieve impressive results in simulation, the real world presents two major challenges: generating samples is exceedingly expensive, and unexpected perturbations or unseen situations cause proficient but specialized policies to fail at test time.

Continuous Control Meta-Learning +3

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