Publications - Machine Learning SG

DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space. (2020)

Siwei Chen Xiao Ma David Hsu

domain knowledge deep learning embedding imitation theoretical computer science +6 more

arXiv preprint arXiv:2007.06207 Published 2020-07-13
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games (2020)

Zhongxiang Dai Yizhou Chen Bryan Kian Hsiang Low Patrick Jaillet Teck-Hua Ho

regret bayesian optimization recursion artificial intelligence computer science

ICML 2020: 37th International Conference on Machine Learning 2 citations Published 2020-07-12
Progressive Identification of True Labels for Partial-Label Learning (2020)

Jiaqi Lv Miao Xu Lei Feng Gang Niu Xin Geng Masashi Sugiyama

pattern recognition computer science artificial intelligence

ICML 2020: 37th International Conference on Machine Learning 2 citations Published 2020-07-12
Learning with Multiple Complementary Labels (2020)

Lei Feng Takuo Kaneko Bo Han Gang Niu Bo An Masashi Sugiyama

computer science natural language processing artificial intelligence

ICML 2020: 37th International Conference on Machine Learning 7 citations Published 2020-07-12
Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion (2020)

Nghia Hoang Thanh Lam Bryan Kian Hsiang Low Patrick Jaillet

black box embedding artificial intelligence computer science fusion

ICML 2020: 37th International Conference on Machine Learning Published 2020-07-12
Latent Retrieval for Large-Scale Fact-Checking and Question Answering with NLI training (2020)

Chris Samarinas Wynne Hsu Mong Li Lee

question answering natural language processing computer science artificial intelligence fact checking

2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI) Published 2020-07-12
How Does Artificial Intelligence Shape the Audit Industry (2020)

Kelvin Law Michael Shen

audit quality audit instrumental variable proxy business +2 more

Published 2020-07-12
DropNet: Reducing Neural Network Complexity via Iterative Pruning (2020)

Chong Min John Tan Mehul Motani

pruning artificial neural network artificial intelligence computer science

ICML 2020: 37th International Conference on Machine Learning Published 2020-07-12
Adversarial Self-supervised Learning for Semi-supervised 3D Action Recognition. (2020)

Chenyang Si Xuecheng Nie Wei Wang Liang Wang Tieniu Tan Jiashi Feng

adversarial system machine learning computer science action recognition artificial intelligence +1 more

ECCV (7) Published 2020-07-12
Keras R-CNN: library for cell detection in biological images using deep neural networks (2020)

Jane Hung Jane Hung Allen Goodman Deepali Ravel Stefanie C. P. Lopes Gabriel W. Rangel Odailton A. Nery Benoit Malleret Benoit Malleret Francois Nosten Marcus V. G. Lacerda Marcelo U. Ferreira Laurent Rénia Manoj T. Duraisingh Fabio T. M. Costa Matthias Marti Matthias Marti Anne E. Carpenter

object detection deep learning digital pathology python application programming interface +4 more

BMC Bioinformatics 2 citations Published 2020-07-11
Deep Patch-based Human Segmentation (2020)

Dongbo Zhang Zheng Fang Xuequan Lu Hong Qin Antonio Robles-Kelly Chao Zhang Ying He

segmentation grid torso artificial neural network computer vision +3 more

arXiv preprint arXiv:2007.05661 Published 2020-07-11
Event-based Vision: A Survey. (2020)

Guillermo Gallego Tobi Delbruck Garrick Michael Orchard Chiara Bartolozzi Brian Taba Andrea Censi Stefan Leutenegger Andrew Davison Jorg Conradt Kostas Daniilidis Davide Scaramuzza

motion blur high dynamic range pixel robotics spiking neural network +5 more

IEEE Transactions on Pattern Analysis and Machine Intelligence 149 citations Published 2020-07-10
Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact. (2020)

Adam Goodge Adam Goodge Bryan Hooi See Kiong Ng Wee Siong Ng

anomaly detection robustness adversarial system pattern recognition computer science +1 more

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence Published 2020-07-09
psc2code: denoising code extraction from programming screencasts (2020)

Lingfeng Bao Zhenchang Xing Xin Xia David Lo Minghui Wu Xiaohu Yang

deep learning computer science machine learning noise reduction artificial intelligence

ACM Transactions on Software Engineering and Methodology 3 citations Published 2020-07-09
Probabilistic Value Selection for Space Efficient Model (2020)

Gunarto Sindoro Njoo Baihua Zheng Kuo-Wei Hsu Wen-Chih Peng

feature selection probabilistic logic probabilistic method information theory preprocessor +6 more

arXiv: Learning Published 2020-07-09
Learning to Prune Deep Neural Networks via Reinforcement Learning. (2020)

Manas Gupta Siddharth Aravindan Aleksandra Kalisz Vijay Chandrasekhar Lin Jie

artificial neural network reinforcement learning markov decision process artificial intelligence computer science +2 more

arXiv preprint arXiv:2007.04756 Published 2020-07-09
Learning Latent Forests for Medical Relation Extraction. (2020)

Zhijiang Guo Guoshun Nan Wei Lu Shay B. Cohen

relationship extraction computer science natural language processing artificial intelligence

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence 5 citations Published 2020-07-09
I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning (2020)

Rundong Wang Runsheng Yu Bo An Zinovi Rabinovich

reinforcement learning artificial intelligence computer science

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence Published 2020-07-09
Generating Person Images with Appearance-aware Pose Stylizer (2020)

Siyu Huang Haoyi Xiong Zhi-Qi Cheng Qingzhong Wang Xingran Zhou Bihan Wen Jun Huan Dejing Dou

computer vision computer science artificial intelligence

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence Published 2020-07-09
Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning. (2020)

Ruimin Shen Yan Zheng Yan Zheng Jianye Hao Jianye Hao Zhaopeng Meng Yingfeng Chen Changjie Fan Yang Liu Yang Liu

reinforcement learning artificial intelligence computer science

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence Published 2020-07-09

Previous Next

DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space. (2020)

R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games (2020)

Progressive Identification of True Labels for Partial-Label Learning (2020)

Learning with Multiple Complementary Labels (2020)

Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion (2020)

Latent Retrieval for Large-Scale Fact-Checking and Question Answering with NLI training (2020)

How Does Artificial Intelligence Shape the Audit Industry (2020)

DropNet: Reducing Neural Network Complexity via Iterative Pruning (2020)

Adversarial Self-supervised Learning for Semi-supervised 3D Action Recognition. (2020)

Keras R-CNN: library for cell detection in biological images using deep neural networks (2020)

Deep Patch-based Human Segmentation (2020)

Event-based Vision: A Survey. (2020)

Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact. (2020)

psc2code: denoising code extraction from programming screencasts (2020)

Probabilistic Value Selection for Space Efficient Model (2020)

Learning to Prune Deep Neural Networks via Reinforcement Learning. (2020)

Learning Latent Forests for Medical Relation Extraction. (2020)

I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning (2020)

Generating Person Images with Appearance-aware Pose Stylizer (2020)

Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning. (2020)