He Zhu | DeepAI

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∙ 05/27/2023

Attention Schema in Neural Agents

Attention has become a common ingredient in deep learning architectures....

0 Dianbo Liu, et al. ∙

∙ 05/24/2023

HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification

Hierarchical text classification (HTC) is a challenging subtask of multi...

0 He Zhu, et al. ∙

∙ 04/05/2023

Adaptive Data Augmentation for Contrastive Learning

In computer vision, contrastive learning is the most advanced unsupervis...

0 Yuhan Zhang, et al. ∙

∙ 03/09/2023

TQ-Net: Mixed Contrastive Representation Learning For Heterogeneous Test Questions

Recently, more and more people study online for the convenience of acces...

0 He Zhu, et al. ∙

∙ 03/08/2023

Interpretable Visual Question Answering Referring to Outside Knowledge

We present a novel multimodal interpretable VQA model that can answer th...

0 He Zhu, et al. ∙

∙ 06/14/2022

Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising

Neural network policies trained using Deep Reinforcement Learning (DRL) ...

15 Zikang Xiong, et al. ∙

∙ 10/22/2021

ReLACE: Reinforcement Learning Agent for Counterfactual Explanations of Arbitrary Predictive Models

The demand for explainable machine learning (ML) models has been growing...

18 Ziheng Chen, et al. ∙

∙ 10/05/2021

TENT: Text Classification Based on ENcoding Tree Learning

Text classification is a primary task in natural language processing (NL...

0 Chong Zhang, et al. ∙

∙ 04/12/2021

Intra-Class Uncertainty Loss Function for Classification

Most classification models can be considered as the process of matching ...

0 He Zhu, et al. ∙

∙ 12/31/2020

Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation

The novel Coronavirus disease (COVID-19) is a highly contagious virus an...

15 Yichi Zhang, et al. ∙

∙ 12/01/2020

Patient similarity: methods and applications

Patient similarity analysis is important in health care applications. It...

0 Leyu Dai, et al. ∙

∙ 11/23/2020

FakeSafe: Human Level Data Protection by Disinformation Mapping using Cycle-consistent Adversarial Network

The concept of disinformation is to use fake messages to confuse people ...

0 Dianbo Liu, et al. ∙

∙ 06/11/2020

Robustness to Adversarial Attacks in Learning-Enabled Controllers

Learning-enabled controllers used in cyber-physical systems (CPS) are kn...

0 Zikang Xiong, et al. ∙

∙ 07/17/2019

ART: Abstraction Refinement-Guided Training for Provably Correct Neural Networks

Artificial Neural Networks (ANNs) have demonstrated remarkable utility i...

0 Xuankang Lin, et al. ∙

∙ 07/16/2019

An Inductive Synthesis Framework for Verifiable Reinforcement Learning

Despite the tremendous advances that have been made in the last decade o...

0 He Zhu, et al. ∙

∙ 03/15/2018

Distributed Data Vending on Blockchain

Recent advances in blockchain technologies have provided exciting opport...

0 Jiayu Zhou, et al. ∙

∙ 01/12/2018

EdgeChain: Blockchain-based Multi-vendor Mobile Edge Application Placement

The state-of-the-art mobile edge applications are generating intense tra...

0 He Zhu, et al. ∙

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