Wuyang Chen | DeepAI

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∙ 05/24/2023

Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts

The explosive growth of language models and their applications have led ...

0 Sheng Shen, et al. ∙

∙ 05/20/2023

Lifelong Language Pretraining with Distribution-Specialized Experts

Pretraining on a large-scale corpus has become a standard method to buil...

0 Wuyang Chen, et al. ∙

∙ 10/16/2022

Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices

In this paper, we propose a data-model-hardware tri-design framework for...

2 Yimeng Zhang, et al. ∙

∙ 05/11/2022

Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis

Advanced deep neural networks (DNNs), designed by either human or AutoML...

12 Wuyang Chen, et al. ∙

∙ 02/24/2022

Auto-scaling Vision Transformers without Training

This work targets automated designing and scaling of Vision Transformers...

8 Wuyang Chen, et al. ∙

∙ 12/17/2021

A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation

This work presents a simple vision transformer design as a strong baseli...

0 Wuyang Chen, et al. ∙

∙ 08/26/2021

Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics

This work targets designing a principled and unified training-free frame...

0 Wuyang Chen, et al. ∙

∙ 07/16/2021

DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference

Semantic segmentation for scene understanding is nowadays widely demande...

0 Chaojian Li, et al. ∙

∙ 04/06/2021

Contrastive Syn-to-Real Generalization

Training on synthetic data can be beneficial for label or data-scarce sc...

7 Wuyang Chen, et al. ∙

∙ 03/23/2021

Learning to Optimize: A Primer and A Benchmark

Learning to optimize (L2O) is an emerging approach that leverages machin...

61 Tianlong Chen, et al. ∙

∙ 02/23/2021

Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective

Neural Architecture Search (NAS) has been explosively studied to automat...

0 Wuyang Chen, et al. ∙

∙ 02/22/2021

Sandwich Batch Normalization

We present Sandwich Batch Normalization (SaBN), an embarrassingly easy i...

7 Xinyu Gong, et al. ∙

∙ 07/14/2020

Automated Synthetic-to-Real Generalization

Models trained on synthetic images often face degraded generalization to...

9 Wuyang Chen, et al. ∙

∙ 06/15/2020

AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks

The compression of Generative Adversarial Networks (GANs) has lately dra...

42 Yonggan Fu, et al. ∙

∙ 12/23/2019

FasterSeg: Searching for Faster Real-time Semantic Segmentation

We present FasterSeg, an automatically designed semantic segmentation ne...

0 Wuyang Chen, et al. ∙

∙ 12/17/2019

In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation

The comparative losses (typically, triplet loss) are appealing choices f...

0 Wuyang Chen, et al. ∙

∙ 11/26/2019

Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification

Many real-world applications, such as city-scale traffic monitoring and ...

0 Wuyang Chen, et al. ∙

∙ 08/03/2019

ABD-Net: Attentive but Diverse Person Re-Identification

Attention mechanism has been shown to be effective for person re-identif...

4 Tianlong Chen, et al. ∙

∙ 05/15/2019

Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images

Segmentation of ultra-high resolution images is increasingly demanded, y...

6 Wuyang Chen, et al. ∙

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