Publications - Machine Learning SG

Imperceptible Misclassification Attack on Deep Learning Accelerator by Glitch Injection (2020)

Wenye Liu Chip-Hong Chang Fan Zhang Xiaoxuan Lou

glitch deep learning artificial neural network edge device field programmable gate array +6 more

2020 57th ACM/IEEE Design Automation Conference (DAC) Published 2020-07-20
HyP-DESPOT: A hybrid parallel algorithm for online planning under uncertainty: (2020)

Panpan Cai Yuanfu Luo David Hsu Wee Sun Lee

parallel algorithm online search robot artificial intelligence computer science

The International Journal of Robotics Research 2 citations Published 2020-07-20
Generalized Convolution Simulation Stack for RRAM Device based Deep Learning Neural Network (2020)

Nagaraj Lakshmana Prabhu Nagarajan Raghavan

simulation software verilog hardware description language adder convolution +6 more

2020 IEEE International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA) Published 2020-07-20
From Homogeneous to Heterogeneous: Leveraging Deep Learning based Power Analysis across Devices (2020)

Fan Zhang Bin Shao Guorui Xu Bolin Yang Ziqi Yang Zhan Qin Kui Ren

power analysis profiling deep learning microcontroller computer architecture +4 more

2020 57th ACM/IEEE Design Automation Conference (DAC) Published 2020-07-20
Exploring RRAM Variability as Synapses on Inception Simulation Framework to Characterize the Prediction Accuracy and Power Estimation per Bit for Convolution Neural Network (2020)

N.L. Prabhu N. Raghavan

convolutional neural network deep learning artificial neural network convolution input output +6 more

2020 IEEE International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA) Published 2020-07-20
Deep Learning-Based Image Analysis Framework for Hardware Assurance of Digital Integrated Circuits (2020)

Tong Lin Yiqiong Shi Na Shu Deruo Cheng Xuenong Hong Jingsi Song Bah Hwee Gwee

feature extraction automation deep learning synthetic data integrated circuit +6 more

2020 IEEE International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA) Published 2020-07-20
Automatic Glaucoma Detection from Stereo Fundus Images (2020)

Ee Ping Ong Jun Cheng Damon W.K. Wong Elton L. T. Tay Hwei Yee Teo Rosalyn Grace Loo Leonard W.L. Yip

optic cup optic disc fundus active contour model pixel +6 more

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Published 2020-07-20
Recent Advances in Network-based Methods for Disease Gene Prediction (2020)

Sezin Kircali Ata Min Wu Yuan Fang Le Ou-Yang Chee Keong Kwoh Xiao-Li Li

genome wide association study graph categorization disease machine learning +6 more

arXiv preprint arXiv:2007.10848 Published 2020-07-19
GEMM-eMFIS (FRI/E): A Novel General Episodic Memory Mechanism For Fuzzy Neural Networks (2020)

Sheng Wei Pang Chai Quek Dilip K. Prasad

encoding cluster analysis episodic memory boosting interpretability +6 more

2020 International Joint Conference on Neural Networks (IJCNN) Published 2020-07-19
Fast LSTM by dynamic decomposition on cloud and distributed systems (2020)

Yang You Yuxiong He Samyam Rajbhandari Wenhan Wang Cho-Jui Hsieh Kurt Keutzer James Demmel

cache low latency speedup deep learning latency +6 more

Knowledge and Information Systems Published 2020-07-19
ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning. (2020)

Sasi Kumar Murakonda Reza Shokri

data protection act 1998 inference attack data access computer science machine learning +4 more

arXiv preprint arXiv:2007.09339 3 citations Published 2020-07-18
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning (2020)

Lingjuan Lyu Yitong Li Karthik Nandakumar Jiangshan Yu Xingjun Ma

reputation system credibility differential privacy deep learning computer science +3 more

arXiv preprint arXiv:2007.09370 Published 2020-07-18
Feature Pyramid Transformer. (2020)

Dong Zhang Hanwang Zhang Jinhui Tang Meng Wang Xiansheng Hua Qianru Sun

pyramid transformer object detection overhead segmentation +6 more

arXiv preprint arXiv:2007.09451 Published 2020-07-18
Evaluating human versus machine learning performance in classifying research abstracts. (2020)

Yeow Chong Goh Xin Qing Cai Walter Theseira Giovanni Ko Khiam Aik Khor

machine learning percentile computer science scientific method 2019 20 coronavirus outbreak +5 more

Scientometrics Published 2020-07-18
DDR-ID: Dual Deep Reconstruction Networks Based Image Decomposition for Anomaly Detection (2020)

Dongyun Lin Yiqun Li Shudong Xie Tin Lay Nwe Sheng Dong

anomaly detection thresholding iterative reconstruction mnist database discriminative model +6 more

arXiv preprint arXiv:2007.09431 Published 2020-07-18
Uncertainty Quantification and Deep Ensembles. (2020)

Rahul Rahaman Alexandre H. Thiery

uncertainty quantification probabilistic logic calibration regularization deep learning +5 more

arXiv preprint arXiv:2007.08792 2 citations Published 2020-07-17
Light Field Image Quality Assessment via the Light Field Coherence (2020)

Yu Tian Huanqiang Zeng Junhui Hou Jing Chen Kai-Kuang Ma

feature extraction image quality human visual system model coherence distortion +6 more

IEEE Transactions on Image Processing 2 citations Published 2020-07-17
LEED: Label-Free Expression Editing via Disentanglement (2020)

Rongliang Wu Shijian Lu

facial expression pattern recognition computer science artificial intelligence information loss +2 more

arXiv preprint arXiv:2007.08971 Published 2020-07-17
HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization (2020)

Jiahao Lin Gim Hee Lee

3d pose estimation source code pooling coordinate space pattern recognition +5 more

arXiv preprint arXiv:2007.08943 Published 2020-07-17
Adaptive Task Sampling for Meta-Learning (2020)

Chenghao Liu Zhihao Wang Doyen Sahoo Yuan Fang Kun Zhang Steven C.H. Hoi

sampling machine learning computer science laptop exploit +1 more

arXiv preprint arXiv:2007.08735 Published 2020-07-17

Previous Next

Imperceptible Misclassification Attack on Deep Learning Accelerator by Glitch Injection (2020)

HyP-DESPOT: A hybrid parallel algorithm for online planning under uncertainty: (2020)

Generalized Convolution Simulation Stack for RRAM Device based Deep Learning Neural Network (2020)

From Homogeneous to Heterogeneous: Leveraging Deep Learning based Power Analysis across Devices (2020)

Exploring RRAM Variability as Synapses on Inception Simulation Framework to Characterize the Prediction Accuracy and Power Estimation per Bit for Convolution Neural Network (2020)

Deep Learning-Based Image Analysis Framework for Hardware Assurance of Digital Integrated Circuits (2020)

Automatic Glaucoma Detection from Stereo Fundus Images (2020)

Recent Advances in Network-based Methods for Disease Gene Prediction (2020)

GEMM-eMFIS (FRI/E): A Novel General Episodic Memory Mechanism For Fuzzy Neural Networks (2020)

Fast LSTM by dynamic decomposition on cloud and distributed systems (2020)

ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning. (2020)

How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning (2020)

Feature Pyramid Transformer. (2020)

Evaluating human versus machine learning performance in classifying research abstracts. (2020)

DDR-ID: Dual Deep Reconstruction Networks Based Image Decomposition for Anomaly Detection (2020)

Uncertainty Quantification and Deep Ensembles. (2020)

Light Field Image Quality Assessment via the Light Field Coherence (2020)

LEED: Label-Free Expression Editing via Disentanglement (2020)

HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization (2020)

Adaptive Task Sampling for Meta-Learning (2020)