Search Results for author: Dongjin Lee

Found 4 papers, 2 papers with code

Energy-efficient Knowledge Distillation for Spiking Neural Networks

no code implementations14 Jun 2021 Dongjin Lee, Seongsik Park, Jongwan Kim, Wuhyeong Doh, Sungroh Yoon

On MNIST dataset, our proposed student SNN achieves up to 0. 09% higher accuracy and produces 65% less spikes compared to the student SNN trained with conventional knowledge distillation method.

Knowledge Distillation Model Compression +1

Noise-Robust Deep Spiking Neural Networks with Temporal Information

no code implementations22 Apr 2021 Seongsik Park, Dongjin Lee, Sungroh Yoon

Spiking neural networks (SNNs) have emerged as energy-efficient neural networks with temporal information.

SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams

1 code implementation23 Feb 2021 Taehyung Kwon, Inkyu Park, Dongjin Lee, Kijung Shin

SLICENSTITCH changes the starting point of each period adaptively, based on the current time, and updates factor matrices (i. e., outputs of CP decomposition) instantly as new data arrives.

Anomaly Detection Recommendation Systems +1

Robust Factorization of Real-world Tensor Streams with Patterns, Missing Values, and Outliers

1 code implementation16 Feb 2021 Dongjin Lee, Kijung Shin

Consider multiple seasonal time series being collected in real-time, in the form of a tensor stream.

Imputation Time Series

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