Search Results for author: Yeseong Kim

Found 5 papers, 0 papers with code

Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing

no code implementations14 May 2022 Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani

Our evaluation shows QHD capability for real-time learning, providing 34. 6 times speedup and significantly better quality of learning than DQN.

Decision Making Q-Learning +2

DeepSketch: A New Machine Learning-Based Reference Search Technique for Post-Deduplication Delta Compression

no code implementations17 Feb 2022 Jisung Park, Jeoggyun Kim, Yeseong Kim, Sungjin Lee, Onur Mutlu

Data reduction in storage systems is becoming increasingly important as an effective solution to minimize the management cost of a data center.


Spiking Hyperdimensional Network: Neuromorphic Models Integrated with Memory-Inspired Framework

no code implementations1 Oct 2021 Zhuowen Zou, Haleh Alimohamadi, Farhad Imani, Yeseong Kim, Mohsen Imani

Particularly, Spiking Neural Networks (SNNs) and HyperDimensional Computing (HDC) have shown promising results in enabling efficient and robust cognitive learning.

RAPIDNN: In-Memory Deep Neural Network Acceleration Framework

no code implementations15 Jun 2018 Mohsen Imani, Mohammad Samragh, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing

To enable in-memory processing, RAPIDNN reinterprets a DNN model and maps it into a specialized accelerator, which is designed using non-volatile memory blocks that model four fundamental DNN operations, i. e., multiplication, addition, activation functions, and pooling.

Clustering speech-recognition +3

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