Search Results for author: BoYu Chen

Found 16 papers, 9 papers with code

JEN-1 Composer: A Unified Framework for High-Fidelity Multi-Track Music Generation

1 code implementation29 Oct 2023 Yao Yao, Peike Li, BoYu Chen, Alex Wang

With rapid advances in generative artificial intelligence, the text-to-music synthesis task has emerged as a promising direction for music generation from scratch.

Music Generation

Ternary Singular Value Decomposition as a Better Parameterized Form in Linear Mapping

1 code implementation15 Aug 2023 BoYu Chen, Hanxuan Chen, Jiao He, Fengyu Sun, Shangling Jui

We present a simple yet novel parameterized form of linear mapping to achieves remarkable network compression performance: a pseudo SVD called Ternary SVD (TSVD).

Language Modelling Large Language Model +1

JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion Models

2 code implementations9 Aug 2023 Peike Li, BoYu Chen, Yao Yao, Yikai Wang, Allen Wang, Alex Wang

Despite the task's significance, prevailing generative models exhibit limitations in music quality, computational efficiency, and generalization.

Computational Efficiency In-Context Learning +2

Modify Training Directions in Function Space to Reduce Generalization Error

no code implementations25 Jul 2023 Yi Yu, Wenlian Lu, BoYu Chen

We propose theoretical analyses of a modified natural gradient descent method in the neural network function space based on the eigendecompositions of neural tangent kernel and Fisher information matrix.

FedDKD: Federated Learning with Decentralized Knowledge Distillation

no code implementations2 May 2022 Xinjia Li, BoYu Chen, Wenlian Lu

The FedDKD introduces a module of decentralized knowledge distillation (DKD) to distill the knowledge of the local models to train the global model by approaching the neural network map average based on the metric of divergence defined in the loss function, other than only averaging parameters as done in literature.

Federated Learning Knowledge Distillation

Backbone is All Your Need: A Simplified Architecture for Visual Object Tracking

1 code implementation10 Mar 2022 BoYu Chen, Peixia Li, Lei Bai, Lei Qiao, Qiuhong Shen, Bo Li, Weihao Gan, Wei Wu, Wanli Ouyang

Exploiting a general-purpose neural architecture to replace hand-wired designs or inductive biases has recently drawn extensive interest.

Visual Object Tracking

Deps-SAN: Neural Machine Translation with Dependency-Scaled Self-Attention Network

no code implementations23 Nov 2021 Ru Peng, Nankai Lin, Yi Fang, Shengyi Jiang, Tianyong Hao, BoYu Chen, Junbo Zhao

However, succeeding researches pointed out that limited by the uncontrolled nature of attention computation, the NMT model requires an external syntax to capture the deep syntactic awareness.

Machine Translation NMT +1

BN-NAS: Neural Architecture Search with Batch Normalization

1 code implementation ICCV 2021 BoYu Chen, Peixia Li, Baopu Li, Chen Lin, Chuming Li, Ming Sun, Junjie Yan, Wanli Ouyang

We present BN-NAS, neural architecture search with Batch Normalization (BN-NAS), to accelerate neural architecture search (NAS).

Neural Architecture Search

PSViT: Better Vision Transformer via Token Pooling and Attention Sharing

no code implementations7 Aug 2021 BoYu Chen, Peixia Li, Baopu Li, Chuming Li, Lei Bai, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang

Then, a compact set of the possible combinations for different token pooling and attention sharing mechanisms are constructed.

Real-time 'Actor-Critic' Tracking

no code implementations ECCV 2018 Boyu Chen, Dong Wang, Peixia Li, Shuang Wang, Huchuan Lu

In this work, we propose a novel tracking algorithm with real-time performance based on the ‘Actor-Critic’ framework.

Visual Tracking

Meta-Learning with Hessian-Free Approach in Deep Neural Nets Training

1 code implementation22 May 2018 Boyu Chen, Wenlian Lu, Ernest Fokoue

Meta-learning is a promising method to achieve efficient training method towards deep neural net and has been attracting increases interests in recent years.

Meta-Learning

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