Publications - Machine Learning SG

Artificial Intelligence and the Problem of Autonomy (2020)

Simon Chesterman

public sector delegate autonomy centrality emerging technologies +5 more

Elements 3 citations Published 2020-04-07
Self-Supervised Scene De-occlusion (2020)

Xiaohang Zhan Xingang Pan Bo Dai Ziwei Liu Dahua Lin Chen Change Loy

amodal perception computer vision parsing inference modal +5 more

arXiv preprint arXiv:2004.02788 Published 2020-04-06
Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks (2020)

Wei Yang Bryan Lim Zehui Xiong Chunyan Miao Dusit Niyato Qiang Yang Cyril Leung H. Vincent Poor

incentive compatibility system model game theory mechanism design data modeling +6 more

IEEE Internet of Things Journal 4 citations Published 2020-04-06
DeepBindPoc: a deep learning method to rank ligand binding pockets using molecular vector representation. (2020)

Haiping Zhang Konda Mani Saravanan Jinzhi Lin Linbu Liao Justin Tze-Yang Ng Jiaxiu Zhou Yanjie Wei

ligand rank ligand ranking deep learning computational biology +6 more

PeerJ Published 2020-04-06
Bag-of-Concepts representation for document classification based on automatic knowledge acquisition from probabilistic knowledge base (2020)

Pengfei Li Kezhi Mao Yuecong Xu Qi Li Jiaheng Zhang

document classification knowledge base knowledge acquisition semantics probabilistic logic +6 more

Knowledge Based Systems 2 citations Published 2020-04-06
Additional planning with multiple objectives for reinforcement learning (2020)

Anqi Pan Anqi Pan Wenjun Xu Lei Wang Hongliang Ren

reinforcement learning machine learning computer science artificial intelligence soft robotic +1 more

Knowledge Based Systems 2 citations Published 2020-04-06
Heterogeneous Multi-robot Mission Planning for Coordinated Tasks Execution (2020)

Felis Dwiyasa Meng-Hiot Lim Pyo Kang Ren-Xiang Foo Shi-Wei Jason Teo

robot robotics interoperability modularity scalability +6 more

SocProS (2) Published 2020-04-05
Pre-training for Abstractive Document Summarization by Reinstating Source Text (2020)

Yanyan Zou Xingxing Zhang Wei Lu Furu Wei Ming Zhou

automatic summarization sentence source text natural language processing computer science +4 more

arXiv preprint arXiv:2004.01853 Published 2020-04-04
Optical Flow in Dense Foggy Scenes using Semi-Supervised Learning (2020)

Wending Yan Aashish Sharma Robby T. Tan

semi supervised learning overfitting optical flow deep learning synthetic data +6 more

arXiv preprint arXiv:2004.01905 Published 2020-04-04
Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network (2020)

Jingjing Chen Liangming Pan Zhipeng Wei Xiang Wang Chong-Wah Ngo Tat-Seng Chua

ingredient machine learning computer science hierarchy ranging +6 more

Proceedings of the AAAI Conference on Artificial Intelligence 4 citations Published 2020-04-03
Zero-Resource Cross-Lingual Named Entity Recognition (2020)

M. Saiful Bari Shafiq R. Joty Prathyusha Jwalapuram

bilingual dictionary named entity recognition natural language processing computer science adversarial system +3 more

Proceedings of the AAAI Conference on Artificial Intelligence 2 citations Published 2020-04-03
Towards Comprehensive Recommender Systems: Time-Aware Unified Recommendations Based on Listwise Ranking of Implicit Cross-Network Data (2020)

Dilruk Perera Roger Zimmermann

movielens recommender system ranking deep learning novelty +6 more

Proceedings of the AAAI Conference on Artificial Intelligence Published 2020-04-03
Solving Sequential Text Classification as Board-Game Playing (2020)

Chen Qian Fuli Feng Lijie Wen Zhenpeng Chen Li Lin Yanan Zheng Tat-Seng Chua

sequence labeling sentence natural language processing computer science artificial intelligence +1 more

Proceedings of the AAAI Conference on Artificial Intelligence 1 citations Published 2020-04-03
Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition (2020)

Peng Hu Hongyuan Zhu Xi Peng Jie Lin

multimodal learning artificial neural network discriminative model matrix decomposition scalability +6 more

Proceedings of the AAAI Conference on Artificial Intelligence 1 citations Published 2020-04-03
RoboCoDraw: Robotic Avatar Drawing with GAN-Based Style Transfer and Time-Efficient Path Optimization (2020)

Tianying Wang Wei Qi Toh Hao Zhang Xiuchao Sui Shaohua Li Yong Liu Wei Jing

robotic arm robot robotics genetic algorithm avatar +6 more

Proceedings of the AAAI Conference on Artificial Intelligence Published 2020-04-03
Privacy-Preserving Gradient Boosting Decision Trees (2020)

Qinbin Li Zhaomin Wu Zeyi Wen Bingsheng He

gradient boosting differential privacy boosting decision tree tree +6 more

Proceedings of the AAAI Conference on Artificial Intelligence 3 citations Published 2020-04-03
Particle Filter Recurrent Neural Networks (2020)

Xiao Ma Péter Karkus David Hsu Wee Sun Lee

recurrent neural network particle filter pattern recognition computer science artificial intelligence

Proceedings of the AAAI Conference on Artificial Intelligence 1 citations Published 2020-04-03
Multi-Task Learning for Diabetic Retinopathy Grading and Lesion Segmentation (2020)

Alex Foo Wynne Hsu Mong Li Lee Gilbert Lim Tien Yin Wong

segmentation multi task learning deep learning diabetic retinopathy grading +6 more

Proceedings of the AAAI Conference on Artificial Intelligence 1 citations Published 2020-04-03
Multi-Level Head-Wise Match and Aggregation in Transformer for Textual Sequence Matching (2020)

Shuohang Wang Yunshi Lan Yi Tay Jing Jiang Jingjing Liu

transformer pattern recognition computer science artificial intelligence pair matching +1 more

Proceedings of the AAAI Conference on Artificial Intelligence Published 2020-04-03
Multi-Label Causal Feature Selection (2020)

Xingyu Wu Bingbing Jiang Kui Yu Huanhuan Chen Chunyan Miao

feature selection interpretability markov blanket machine learning data set +3 more

Proceedings of the AAAI Conference on Artificial Intelligence 4 citations Published 2020-04-03

Previous Next

Artificial Intelligence and the Problem of Autonomy (2020)

Self-Supervised Scene De-occlusion (2020)

Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks (2020)

DeepBindPoc: a deep learning method to rank ligand binding pockets using molecular vector representation. (2020)

Bag-of-Concepts representation for document classification based on automatic knowledge acquisition from probabilistic knowledge base (2020)

Additional planning with multiple objectives for reinforcement learning (2020)

Heterogeneous Multi-robot Mission Planning for Coordinated Tasks Execution (2020)

Pre-training for Abstractive Document Summarization by Reinstating Source Text (2020)

Optical Flow in Dense Foggy Scenes using Semi-Supervised Learning (2020)

Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network (2020)

Zero-Resource Cross-Lingual Named Entity Recognition (2020)

Towards Comprehensive Recommender Systems: Time-Aware Unified Recommendations Based on Listwise Ranking of Implicit Cross-Network Data (2020)

Solving Sequential Text Classification as Board-Game Playing (2020)

Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition (2020)

RoboCoDraw: Robotic Avatar Drawing with GAN-Based Style Transfer and Time-Efficient Path Optimization (2020)

Privacy-Preserving Gradient Boosting Decision Trees (2020)

Particle Filter Recurrent Neural Networks (2020)

Multi-Task Learning for Diabetic Retinopathy Grading and Lesion Segmentation (2020)

Multi-Level Head-Wise Match and Aggregation in Transformer for Textual Sequence Matching (2020)

Multi-Label Causal Feature Selection (2020)