Chen Dun | DeepAI

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Featured Co-authors

Anshumali Shrivastava
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Ahmed Hassan Awadallah
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Dimitrios Dimitriadis
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Jingkang Yang
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Guoqing Zheng
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Chris Jermaine
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John Chen
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∙ 09/07/2023

Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size

Advances in Semi-Supervised Learning (SSL) have almost entirely closed t...

0 John Chen, et al. ∙

∙ 06/14/2023

Fed-ZERO: Efficient Zero-shot Personalization with Federated Mixture of Experts

One of the goals in Federated Learning (FL) is to create personalized mo...

0 Chen Dun, et al. ∙

∙ 10/28/2022

LOFT: Finding Lottery Tickets through Filter-wise Training

Recent work on the Lottery Ticket Hypothesis (LTH) shows that there exis...

0 Qihan Wang, et al. ∙

∙ 10/28/2022

Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout

Asynchronous learning protocols have regained attention lately, especial...

0 Chen Dun, et al. ∙

∙ 10/23/2021

Federated Multiple Label Hashing (FedMLH): Communication Efficient Federated Learning on Extreme Classification Tasks

Federated learning enables many local devices to train a deep learning m...

3 Zhenwei Dai, et al. ∙

∙ 07/02/2021

ResIST: Layer-Wise Decomposition of ResNets for Distributed Training

We propose , a novel distributed training protocol for Residual Networks...

0 Chen Dun, et al. ∙

∙ 02/20/2021

GIST: Distributed Training for Large-Scale Graph Convolutional Networks

The graph convolutional network (GCN) is a go-to solution for machine le...

0 Cameron R. Wolfe, et al. ∙

∙ 10/22/2018

Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation

Learning to cooperate is crucially important in multi-agent reinforcemen...

0 Jiechuan Jiang, et al. ∙

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