Publications - Machine Learning SG

LaCNet: Real-time End-to-End Arbitrary-shaped Lane and Curb Detection with Instance Segmentation Network (2020)

Hui Zhou Han Wang Handuo Zhang Karunasekera Hasith

segmentation end to end principle computer vision computer science artificial intelligence

2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV) Published 2020-12-13
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees. (2020)

Nghi D. Q. Bui Yijun Yu Lingxiao Jiang

source code encoder deep learning transfer of learning cluster analysis +6 more

arXiv preprint arXiv:2012.07023 Published 2020-12-13
Domain Adaptation for Degraded Remote Scene Classification (2020)

Jianfei Yang Hailin Chen Yuecong Xu Ziji Shi Ruikang Luo Lihua Xie Rong Su

computer vision computer science artificial intelligence domain adaptation

2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV) Published 2020-12-13
Detection of Adversarial Supports in Few-shot Classifiers Using Feature Preserving Autoencoders and Self-Similarity. (2020)

Yi Xiang Marcus Tan Penny Chong Jiamei Sun Yuval Elovici Alexander Binder

autoencoder classifier machine learning filter computer science +3 more

arXiv: Cryptography and Security Published 2020-12-13
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation. (2020)

Yi Zeng Han Qiu Shangwei Guo Tianwei Zhang Meikang Qiu Bhavani M. Thuraisingham

backdoor robustness computer security inference computer science +2 more

arXiv preprint arXiv:2012.07006 Published 2020-12-13
Parallel Spatial–Temporal Self-Attention CNN-Based Motor Imagery Classification for BCI (2020)

Xiuling Liu Yonglong Shen Jing Liu Jing Liu Jing Liu Jianli Yang Peng Xiong Feng Lin

convolutional neural network brain computer interface deep learning motor imagery time domain +6 more

Frontiers in Neuroscience Published 2020-12-11
Flatland-RL : Multi-Agent Reinforcement Learning on Trains. (2020)

Sharada Prasanna Mohanty Erik Nygren Florian Laurent Manuel Schneider Christian Scheller Nilabha Bhattacharya Jeremy D. Watson Adrian Egli Christian Eichenberger Christian Baumberger Gereon Vienken Irene Sturm Guillaume Sartoretti Giacomo Spigler

reinforcement learning vehicle rescheduling problem overhead grid scheduling +4 more

arXiv preprint arXiv:2012.05893 Published 2020-12-10
Debiased-CAM for bias-agnostic faithful visual explanations of deep convolutional networks. (2020)

Wencan Zhang Mariella Dimiccoli Brian Y. Lim

convolutional neural network helpfulness salient machine learning color balance +5 more

arXiv preprint arXiv:2012.05567 Published 2020-12-10
Risk Management Framework for Machine Learning Security. (2020)

Jakub Breier Adrian Baldwin Helen Balinsky Yang Liu

security controls risk management framework risk management data domain confidentiality +6 more

arXiv preprint arXiv:2012.04884 Published 2020-12-09
ReCoG: A Deep Learning Framework with Heterogeneous Graph for Interaction-Aware Trajectory Prediction. (2020)

Xiaoyu Mo Yang Xing Chen Lv

deep learning recurrent neural network convolutional neural network trajectory artificial intelligence +4 more

arXiv preprint arXiv:2012.05032 Published 2020-12-09
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting. (2020)

Hongxin Wei Lei Feng Rundong Wang Bo An

weighting overfitting information bottleneck method machine learning computer science +4 more

arXiv preprint arXiv:2012.05273 Published 2020-12-09
Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things. (2020)

Yi Liu Ruihui Zhao Jiawen Kang Abdulsalam Yassine Dusit Niyato Jialiang Peng

edge computing information privacy asynchronous communication differential privacy computer network +6 more

arXiv preprint arXiv:2012.04436 Published 2020-12-08
Predicting human microbe-drug associations via graph convolutional network with conditional random field. (2020)

Yahui Long Yahui Long Min Wu Chee Keong Kwoh Jiawei Luo Xiaoli Li

interaction network conditional random field heterogeneous network feature learning drug development +6 more

Bioinformatics 4 citations Published 2020-12-08
Secure and Verifiable Inference in Deep Neural Networks. (2020)

Guowen Xu Hongwei Li Hao Ren Jianfei Sun Shengmin Xu Jianting Ning Haomiao Yang Kan Yang Robert H. Deng

inference verifiable secret sharing computer science artificial intelligence deep neural networks

Annual Computer Security Applications Conference Published 2020-12-07
Machine Learning-Based Pipeline for High Accuracy Bioparticle Sizing. (2020)

Shaobo Luo Yi Zhang Kim Truc Nguyen Shilun Feng Yuzhi Shi Yang Liu Paul Hutchinson Giovanni Chierchia Hugues Talbot Tarik Bourouina Xudong Jiang Ai Qun Liu

sizing image segmentation sorting calibration segmentation +6 more

Micromachines Published 2020-12-07
Constrained Concealment Attacks against Reconstruction-based Anomaly Detectors in Industrial Control Systems (2020)

Alessandro Erba Riccardo Taormina Stefano Galelli Marcello Pogliani Michele Carminati Stefano Zanero Nils Ole Tippenhauer

anomaly detection autoencoder intrusion detection system replay attack industrial control system +6 more

36th Annual Computer Security Applications Conference, ACSAC 2020 1 citations Published 2020-12-07
CARAFE++: Unified Content-Aware ReAssembly of FEatures. (2020)

Jiaqi Wang Kai Chen Rui Xu Ziwei Liu Chen Change Loy Dahua Lin

overhead upsampling object detection inpainting kernel +6 more

arXiv preprint arXiv:2012.04733 Published 2020-12-07
An Empirical Study on the Relation between Network Interpretability and Adversarial Robustness. (2020)

Adam Noack Isaac Ahern Dejing Dou Boyang Li

interpretability robustness mnist database regularization empirical research +6 more

arXiv: Learning Published 2020-12-06
ParaNet: Deep Regular Representation for 3D Point Clouds. (2020)

Qijian Zhang Junhui Hou Yue Qian Juyong Zhang Ying He

point cloud point grid pixel deep learning +6 more

arXiv preprint arXiv:2012.03028 Published 2020-12-05
Regional registration of whole slide image stacks containing major histological artifacts (2020)

Mahsa Paknezhad Sheng Yang Michael Loh Yukti Choudhury Valerie Koh Cui Koh Timothy Tay Kwang Yong Hui Shan Tan Ravindran Kanesvaran Puay Hoon Tan John Yuen Shyi Peng Weimiao Yu Yongcheng Benjamin Tan Yong Zhen Loy Min-Han Tan Hwee Kuan Lee

computer vision stack computer science 2d images 3d analysis +6 more

BMC Bioinformatics Published 2020-12-04

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LaCNet: Real-time End-to-End Arbitrary-shaped Lane and Curb Detection with Instance Segmentation Network (2020)

InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees. (2020)

Domain Adaptation for Degraded Remote Scene Classification (2020)

Detection of Adversarial Supports in Few-shot Classifiers Using Feature Preserving Autoencoders and Self-Similarity. (2020)

DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation. (2020)

Parallel Spatial–Temporal Self-Attention CNN-Based Motor Imagery Classification for BCI (2020)

Flatland-RL : Multi-Agent Reinforcement Learning on Trains. (2020)

Debiased-CAM for bias-agnostic faithful visual explanations of deep convolutional networks. (2020)

Risk Management Framework for Machine Learning Security. (2020)

ReCoG: A Deep Learning Framework with Heterogeneous Graph for Interaction-Aware Trajectory Prediction. (2020)

MetaInfoNet: Learning Task-Guided Information for Sample Reweighting. (2020)

Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things. (2020)

Predicting human microbe-drug associations via graph convolutional network with conditional random field. (2020)

Secure and Verifiable Inference in Deep Neural Networks. (2020)

Machine Learning-Based Pipeline for High Accuracy Bioparticle Sizing. (2020)

Constrained Concealment Attacks against Reconstruction-based Anomaly Detectors in Industrial Control Systems (2020)

CARAFE++: Unified Content-Aware ReAssembly of FEatures. (2020)

An Empirical Study on the Relation between Network Interpretability and Adversarial Robustness. (2020)

ParaNet: Deep Regular Representation for 3D Point Clouds. (2020)

Regional registration of whole slide image stacks containing major histological artifacts (2020)