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05/27/2023
Attention Schema in Neural Agents
Attention has become a common ingredient in deep learning architectures....
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05/24/2023
HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification
Hierarchical text classification (HTC) is a challenging subtask of multi...
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04/05/2023
Adaptive Data Augmentation for Contrastive Learning
In computer vision, contrastive learning is the most advanced unsupervis...
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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...
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03/08/2023
Interpretable Visual Question Answering Referring to Outside Knowledge
We present a novel multimodal interpretable VQA model that can answer th...
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06/14/2022
Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising
Neural network policies trained using Deep Reinforcement Learning (DRL) ...
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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...
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10/05/2021
TENT: Text Classification Based on ENcoding Tree Learning
Text classification is a primary task in natural language processing (NL...
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04/12/2021
Intra-Class Uncertainty Loss Function for Classification
Most classification models can be considered as the process of matching ...
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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...
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12/01/2020
Patient similarity: methods and applications
Patient similarity analysis is important in health care applications. It...
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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 ...
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06/11/2020
Robustness to Adversarial Attacks in Learning-Enabled Controllers
Learning-enabled controllers used in cyber-physical systems (CPS) are kn...
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07/17/2019
ART: Abstraction Refinement-Guided Training for Provably Correct Neural Networks
Artificial Neural Networks (ANNs) have demonstrated remarkable utility i...
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07/16/2019
An Inductive Synthesis Framework for Verifiable Reinforcement Learning
Despite the tremendous advances that have been made in the last decade o...
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03/15/2018
Distributed Data Vending on Blockchain
Recent advances in blockchain technologies have provided exciting opport...
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01/12/2018