Deng Pan | DeepAI

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Featured Co-authors

Hao Wang
366 publications
Xin Li
301 publications
Kai Zhang
131 publications
Ying Zhang
107 publications
Rui Zhu
50 publications
Hao Shen
35 publications
Ming Zhao
28 publications
Dongxiao Zhu
28 publications
Jongsoo Park
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Jaewon Lee
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Toktam Mahmoodi
17 publications

∙ 04/13/2023

Decentralized federated learning methods for reducing communication cost and energy consumption in UAV networks

Unmanned aerial vehicles (UAV) or drones play many roles in a modern sma...

0 Deng Pan, et al. ∙

∙ 01/17/2023

Negative Flux Aggregation to Estimate Feature Attributions

There are increasing demands for understanding deep neural networks' (DN...

0 Xin Li, et al. ∙

∙ 11/23/2022

Learning Compact Features via In-Training Representation Alignment

Deep neural networks (DNNs) for supervised learning can be viewed as a p...

0 Xin Li, et al. ∙

∙ 07/08/2021

First-Generation Inference Accelerator Deployment at Facebook

In this paper, we provide a deep dive into the deployment of inference a...

0 Michael Anderson, et al. ∙

∙ 12/14/2020

Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints

Convolutional neural networks (CNNs) have achieved state-of-the-art perf...

0 Xin Li, et al. ∙

∙ 07/12/2020

Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability

Latent factor collaborative filtering (CF) has been a widely used techni...

21 Deng Pan, et al. ∙

∙ 06/24/2020

Defending against adversarial attacks on medical imaging AI system, classification or detection?

Medical imaging AI systems such as disease classification and segmentati...

18 Xin Li, et al. ∙

∙ 03/04/2020

On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks

Deep convolutional neural networks (CNNs) trained with logistic and soft...

37 Xiangrui Li, et al. ∙

∙ 02/23/2020

Improve SGD Training via Aligning Min-batches

Deep neural networks (DNNs) for supervised learning can be viewed as a p...

15 Xiangrui Li, et al. ∙

∙ 02/23/2020

Improve SGD Training via Aligning Mini-batches

Deep neural networks (DNNs) for supervised learning can be viewed as a p...

7 Xiangrui Li, et al. ∙

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