Search Results for author: Bo-Yu Chen

Found 9 papers, 7 papers with code

Nonparametric Modern Hopfield Models

1 code implementation5 Apr 2024 Jerry Yao-Chieh Hu, Bo-Yu Chen, Dennis Wu, Feng Ruan, Han Liu

We present a nonparametric construction for deep learning compatible modern Hopfield models and utilize this framework to debut an efficient variant.

STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction

1 code implementation28 Dec 2023 Dennis Wu, Jerry Yao-Chieh Hu, Weijian Li, Bo-Yu Chen, Han Liu

We present STanHop-Net (Sparse Tandem Hopfield Network) for multivariate time series prediction with memory-enhanced capabilities.

Retrieval Time Series +1

On Sparse Modern Hopfield Model

1 code implementation NeurIPS 2023 Jerry Yao-Chieh Hu, Donglin Yang, Dennis Wu, Chenwei Xu, Bo-Yu Chen, Han Liu

Building upon this, we derive the sparse memory retrieval dynamics from the sparse energy function and show its one-step approximation is equivalent to the sparse-structured attention.


Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Features

2 code implementations17 Oct 2021 Wei-Han Hsu, Bo-Yu Chen, Yi-Hsuan Yang

Along with the evolution of music technology, a large number of styles, or "subgenres," of Electronic Dance Music(EDM) have emerged in recent years.

Classification Genre classification +2

The Freesound Loop Dataset and Annotation Tool

1 code implementation26 Aug 2020 Antonio Ramires, Frederic Font, Dmitry Bogdanov, Jordan B. L. Smith, Yi-Hsuan Yang, Joann Ching, Bo-Yu Chen, Yueh-Kao Wu, Hsu Wei-Han, Xavier Serra

We present the Freesound Loop Dataset (FSLD), a new large-scale dataset of music loops annotated by experts.

Audio and Speech Processing Sound

Neural Loop Combiner: Neural Network Models for Assessing the Compatibility of Loops

1 code implementation5 Aug 2020 Bo-Yu Chen, Jordan B. L. Smith, Yi-Hsuan Yang

Music producers who use loops may have access to thousands in loop libraries, but finding ones that are compatible is a time-consuming process; we hope to reduce this burden with automation.

GradNet: Gradient-Guided Network for Visual Object Tracking

2 code implementations ICCV 2019 Peixia Li, Bo-Yu Chen, Wanli Ouyang, Dong Wang, Xiaoyun Yang, Huchuan Lu

In this work, we propose a novel gradient-guided network to exploit the discriminative information in gradients and update the template in the siamese network through feed-forward and backward operations.

Ranked #3 on Visual Object Tracking on OTB-2015 (Precision metric)

Object Template Matching +2

Intelligent Solution System towards Parts Logistics Optimization

no code implementations18 Mar 2019 Yaoting Huang, Bo-Yu Chen, Wenlian Lu, Zhong-Xiao Jin, Ren Zheng

Due to the complication of the presented problem, intelligent algorithms show great power to solve the parts logistics optimization problem related to the vehicle routing problem (VRP).


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