31 citations · 31 across the 2 of their papers we have counts for
3 papers
cs.NE2020
Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks
Jinseok Kim, Kyungsu Kim, Jae-Joon Kim
For the gradient computation across the time domain in Spiking Neural Networks (SNNs) training, two different approaches have been independently studied. The first is to compute th…
cs.LG2020★ 31 cited
BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations
Hyungjun Kim, Kyungsu Kim, Jinseok Kim +1
Binary Neural Networks (BNNs) have been garnering interest thanks to their compute cost reduction and memory savings. However, BNNs suffer from performance degradation mainly due t…
cs.ET2017
Deep Neural Network Optimized to Resistive Memory with Nonlinear Current-Voltage Characteristics
Hyungjun Kim, Taesu Kim, Jinseok Kim +1
Artificial Neural Network computation relies on intensive vector-matrix multiplications. Recently, the emerging nonvolatile memory (NVM) crossbar array showed a feasibility of impl…