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08/04/2023
M2Former: Multi-Scale Patch Selection for Fine-Grained Visual Recognition
Recently, vision Transformers (ViTs) have been actively applied to fine-...
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08/01/2023
Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information
Deep spiking neural networks (SNNs) are promising neural networks for th...
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03/14/2023
SimFLE: Simple Facial Landmark Encoding for Self-Supervised Facial Expression Recognition in the Wild
One of the key issues in facial expression recognition in the wild (FER-...
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06/15/2022
E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations
Event cameras respond to brightness changes in the scene asynchronously ...
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01/30/2022
AutoSNN: Towards Energy-Efficient Spiking Neural Networks
Spiking neural networks (SNNs) that mimic information transmission in th...
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10/23/2021
Scalable Smartphone Cluster for Deep Learning
Various deep learning applications on smartphones have been rapidly risi...
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07/20/2021
Improving Sentence-Level Relation Extraction through Curriculum Learning
Sentence-level relation extraction mainly aims to classify the relation ...
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06/14/2021
Energy-efficient Knowledge Distillation for Spiking Neural Networks
Spiking neural networks (SNNs) have been gaining interest as energy-effi...
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06/04/2021
Training Energy-Efficient Deep Spiking Neural Networks with Time-to-First-Spike Coding
The tremendous energy consumption of deep neural networks (DNNs) has bec...
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04/22/2021
Noise-Robust Deep Spiking Neural Networks with Temporal Information
Spiking neural networks (SNNs) have emerged as energy-efficient neural n...
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03/05/2021
Dual Pointer Network for Fast Extraction of Multiple Relations in a Sentence
Relation extraction is a type of information extraction task that recogn...
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03/26/2020
T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding
Spiking neural networks (SNNs) have gained considerable interest due to ...
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03/12/2019
Spiking-YOLO: Spiking Neural Network for Real-time Object Detection
Over the past decade, deep neural networks (DNNs) have become a de-facto...
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09/10/2018
Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks
The spiking neural networks (SNNs), the 3rd generation of neural network...
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05/21/2018
Streaming MANN: A Streaming-Based Inference for Energy-Efficient Memory-Augmented Neural Networks
With the successful development of artificial intelligence using deep le...
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11/10/2017
Quantized Memory-Augmented Neural Networks
Memory-augmented neural networks (MANNs) refer to a class of neural netw...
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11/08/2016
An Efficient Approach to Boosting Performance of Deep Spiking Network Training
Nowadays deep learning is dominating the field of machine learning with ...
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10/06/2016
