Publications - Machine Learning SG

Adaptive ROI Generation for Video Object Segmentation Using Reinforcement Learning (2019)

Mingjie Sun Mingjie Sun Jimin Xiao Eng Gee Lim Yanchu Xie Yanchu Xie Jiashi Feng

reinforcement learning segmentation online model region of interest computer vision +6 more

arXiv preprint arXiv:1909.12482 Published 2019-09-27
Nonlinear Regression via Deep Negative Correlation Learning. (2019)

Le Zhang Zenglin Shi Ming-Ming Cheng Yun Liu Jia-Wang Bian Joey Tianyi Zhou Guoyan Zheng Zeng Zeng

rademacher complexity deep learning computational complexity theory divide and conquer algorithms regression +5 more

IEEE Transactions on Pattern Analysis and Machine Intelligence 17 citations Published 2019-09-26
FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging (2019)

Doyen Sahoo Wang Hao Shu Ke Wu Xiongwei Hung Le Palakorn Achananuparp Ee-Peng Lim Steven C. H. Hoi

logging exploit computer science deep learning computer vision +6 more

arXiv preprint arXiv:1909.11946 Published 2019-09-26
Convolutional Neural Networks with Dynamic Regularization (2019)

Yi Wang Zhen-Peng Bian Junhui Hou Lap-Pui Chau

overfitting convolutional neural network regularization network architecture artificial intelligence +1 more

arXiv preprint arXiv:1909.11862 1 citations Published 2019-09-26
Towards Stable and comprehensive Domain Alignment: Max-Margin Domain-Adversarial Training (2019)

Jianfei Yang Han Zou Yuxun Zhou Lihua Xie

feature vector robustness classifier interpretability discriminative model +6 more

arXiv preprint arXiv:2003.13249 Published 2019-09-25
Revisit Knowledge Distillation: a Teacher-free Framework (2019)

Li Yuan Francis E. H. Tay Guilin Li Tao Wang Jiashi Feng

smoothing regularization machine learning computer science computation +3 more

arXiv preprint arXiv:1909.11723 27 citations Published 2019-09-25
A new P-wave reconstruction method for VSP data using conditional generative adversarial network (2019)

Yanwen Wei Haohuan Fu Yunyue Elita Li Jizhong Yang

artificial intelligence computer science generative adversarial network reconstruction method

SEG International Exposition and Annual Meeting Published 2019-09-25
A Heuristic for Efficient Reduction in Hidden Layer Combinations For Feedforward Neural Networks (2019)

Wei Hao Khoong

heuristic feedforward neural network search problem brute force search artificial intelligence +2 more

arXiv preprint arXiv:1909.12226 Published 2019-09-25
Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations (2019)

Peixiang Zhong Di Wang Chunyan Miao

commonsense knowledge transformer sentiment analysis conversation social network +6 more

arXiv preprint arXiv:1909.10681 3 citations Published 2019-09-24
RAISE THE ROOF: TOWARDS GENERATING LOD2 MODELS WITHOUT AERIAL SURVEYS USING MACHINE LEARNING (2019)

F. Biljecki Y. Dehbi

3d city models roof multiclass classification binary classification footprint +6 more

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2 citations Published 2019-09-23
Dependency-Guided LSTM-CRF for Named Entity Recognition (2019)

Zhanming Jie Wei Lu

named entity recognition sentence syntax natural language processing encode +4 more

arXiv preprint arXiv:1909.10148 1 citations Published 2019-09-23
Towards Interpreting Recurrent Neural Networks through Probabilistic Abstraction. (2019)

Guoliang Dong Jingyi Wang Jun Sun Yang Zhang Xinyu Wang Ting Dai Jin Song Dong Xingen Wang

recurrent neural network artificial neural network probabilistic logic scalability probabilistic automaton +5 more

arXiv: Learning Published 2019-09-22
Multi-View Fusion-Based 3D Object Detection for Robot Indoor Scene Perception. (2019)

Li Wang Ruifeng Li Jingwen Sun Xingxing Liu Lijun Zhao Hock Soon Seah Chee Kwang Quah Budianto Tandianus

object detection minimum bounding box service robot segmentation computer vision +6 more

Sensors 3 citations Published 2019-09-21
Challenges of Privacy-Preserving Machine Learning in IoT (2019)

Mengyao Zheng Dixing Xu Linshan Jiang Chaojie Gu Rui Tan Peng Cheng

cloud computing mnist database artificial neural network test data generation obfuscation +6 more

arXiv preprint arXiv:1909.09804 Published 2019-09-21
Understanding Architectures Learnt by Cell-based Neural Architecture Search (2019)

Yao Shu Wei Wang Shaofeng Cai

language model contextual image classification machine learning computer science convergence +3 more

arXiv preprint arXiv:1909.09569 1 citations Published 2019-09-20
Knowledge-Enhanced Bilingual Textual Representations for Cross-Lingual Semantic Textual Similarity (2019)

Hsuehkuan Lu Yixin Cao Hou Lei Juanzi Li

natural language processing computer science artificial intelligence cross lingual

International Conference of Pioneering Computer Scientists, Engineers and Educators Published 2019-09-20
Examining the practical limits of batch effect-correction algorithms: When should you care about batch effects? (2019)

Longjian Zhou Andrew Chi-Hau Sue Wilson Wen Bin Goh

normalization ranking feature selection machine learning biology +3 more

Journal of Genetics and Genomics 1 citations Published 2019-09-20
Discriminative Features for Incremental Learning Classifier (2019)

Tin Lay Nwe Balaji Nataraj Xie Shudong Li Yiqun Lin Dongyun Dong Sheng

deep learning discriminative model convolutional neural network feature vector classifier +6 more

2019 IEEE International Conference on Image Processing (ICIP) Published 2019-09-20
Research Commentary on Recommendations with Side Information: A Survey and Research Directions (2019)

Zhu Sun Qing Guo Jie Yang Hui Fang Guibing Guo Jie Zhang Robin Burke

recommender system information overload feature learning deep learning social network +6 more

arXiv preprint arXiv:1909.12807 Published 2019-09-19
Multifunctional inverse sensing by spatial distribution characterization of scattering photons (2019)

Lianwei Chen Yumeng Yin Yang Li Minghui Hong

photonics space technology photon inverse electronic engineering +6 more

Opto-Electronic Advances 11 citations Published 2019-09-19

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Adaptive ROI Generation for Video Object Segmentation Using Reinforcement Learning (2019)

Nonlinear Regression via Deep Negative Correlation Learning. (2019)

FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging (2019)

Convolutional Neural Networks with Dynamic Regularization (2019)

Towards Stable and comprehensive Domain Alignment: Max-Margin Domain-Adversarial Training (2019)

Revisit Knowledge Distillation: a Teacher-free Framework (2019)

A new P-wave reconstruction method for VSP data using conditional generative adversarial network (2019)

A Heuristic for Efficient Reduction in Hidden Layer Combinations For Feedforward Neural Networks (2019)

Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations (2019)

RAISE THE ROOF: TOWARDS GENERATING LOD2 MODELS WITHOUT AERIAL SURVEYS USING MACHINE LEARNING (2019)

Dependency-Guided LSTM-CRF for Named Entity Recognition (2019)

Towards Interpreting Recurrent Neural Networks through Probabilistic Abstraction. (2019)

Multi-View Fusion-Based 3D Object Detection for Robot Indoor Scene Perception. (2019)

Challenges of Privacy-Preserving Machine Learning in IoT (2019)

Understanding Architectures Learnt by Cell-based Neural Architecture Search (2019)

Knowledge-Enhanced Bilingual Textual Representations for Cross-Lingual Semantic Textual Similarity (2019)

Examining the practical limits of batch effect-correction algorithms: When should you care about batch effects? (2019)

Discriminative Features for Incremental Learning Classifier (2019)

Research Commentary on Recommendations with Side Information: A Survey and Research Directions (2019)

Multifunctional inverse sensing by spatial distribution characterization of scattering photons (2019)