Publications - Machine Learning SG

The Ingredients of Real World Robotic Reinforcement Learning (2020)

Henry Zhu Justin Yu Abhishek Gupta Dhruv Shah Kristian Hartikainen Avi Singh Vikash Kumar Sergey Levine

reinforcement learning robotics human computer interaction scalability computer science +2 more

ICLR 2020 : Eighth International Conference on Learning Representations 2 citations Published 2020-04-30
Smooth markets: A basic mechanism for organizing gradient-based learners (2020)

David Balduzzi Wojciech M. Czarnecki Edward Hughes Joel Leibo Ian Gemp Tom Anthony Georgios Piliouras Thore Graepel

game theory gradient descent pairwise comparison design pattern artificial intelligence +3 more

ICLR 2020 : Eighth International Conference on Learning Representations 3 citations Published 2020-04-30
ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning (2020)

Weihao Yu Zihang Jiang Yanfei Dong Jiashi Feng

logical reasoning reading comprehension language model natural language processing computer science +2 more

ICLR 2020 : Eighth International Conference on Learning Representations 2 citations Published 2020-04-30
Neural Epitome Search for Architecture-Agnostic Network Compression (2020)

Daquan Zhou Xiaojie Jin Qibin Hou Kaixin Wang Jianchao Yang Jiashi Feng

network architecture deep learning compression ratio artificial neural network epitome +6 more

ICLR 2020 : Eighth International Conference on Learning Representations Published 2020-04-30
Mind Your Inflections! Improving NLP for Non-Standard English with Base-Inflection Encoding (2020)

Samson Tan Shafiq Joty Lav R. Varshney Min-Yen Kan

inflection singapore english african american vernacular english grammatical category standard english +6 more

arXiv preprint arXiv:2004.14870 Published 2020-04-30
Learning Expensive Coordination: An Event-Based Deep RL Approach (2020)

Zhenyu Shi Runsheng Yu Xinrun Wang Rundong Wang Youzhi Zhang Hanjiang Lai Bo An

reinforcement learning exploit computer science artificial intelligence abstraction +3 more

ICLR 2020 : Eighth International Conference on Learning Representations 2 citations Published 2020-04-30
Enhancing Transformation-Based Defenses Against Adversarial Attacks with a Distribution Classifier (2020)

Connie Kou Hwee Kuan Lee Teck Khim Ng Ee-Chien Chang

softmax function convolutional neural network majority rule classifier pattern recognition +5 more

ICLR 2020 : Eighth International Conference on Learning Representations 8 citations Published 2020-04-30
DivideMix: Learning with Noisy Labels as Semi-supervised Learning (2020)

Junnan Li Steven C.H. Hoi Richard Socher

semi supervised learning mixture model source code machine learning computer science +5 more

ICLR 2020 : Eighth International Conference on Learning Representations 27 citations Published 2020-04-30
Discriminative Particle Filter Reinforcement Learning for Complex Partial observations (2020)

Xiao Ma Peter Karkus Nan Ye David Hsu Wee Sun Lee

reinforcement learning discriminative model artificial neural network partially observable markov decision process particle filter +5 more

ICLR 2020 : Eighth International Conference on Learning Representations 4 citations Published 2020-04-30
CohEval: Benchmarking Coherence Models (2020)

Tasnim Mohiuddin Prathyusha Jwalapuram Xiang Lin Shafiq R. Joty

automatic summarization machine translation coherence language model sentence +6 more

arXiv preprint arXiv:2004.14626 2 citations Published 2020-04-30
Can Your Context-Aware MT System Pass the DiP Benchmark Tests? : Evaluation Benchmarks for Discourse Phenomena in Machine Translation. (2020)

Prathyusha Jwalapuram Barbara Rychalska Shafiq R. Joty Dominika Basaj

machine translation readability natural language processing quality management computer science +5 more

arXiv preprint arXiv:2004.14607 3 citations Published 2020-04-30
AirNet: Fused analytical and iterative reconstruction with deep neural network regularization for sparse-data CT. (2020)

Gaoyu Chen Gaoyu Chen Xiang Hong Qiaoqiao Ding Yi Zhang Hu Chen Shujun Fu Yunsong Zhao Yunsong Zhao Xiaoqun Zhang Hui Ji Ge Wang Qiu Huang Hao Gao

iterative reconstruction image quality sparse matrix deep learning artificial neural network +6 more

Medical Physics 5 citations Published 2020-04-30
Active Learning-Based Fault Diagnosis in Self-Organizing Cellular Networks (2020)

Meng Chen Kun Zhu Ran Wang Dusit Niyato

fault model active learning machine learning cellular network computer science +4 more

IEEE Communications Letters Published 2020-04-30
A closer look at the approximation capabilities of neural networks (2020)

Kai Fong Ernest Chong

universal approximation theorem minimax approximation algorithm continuous function polynomial algebraic number +6 more

ICLR 2020 : Eighth International Conference on Learning Representations 1 citations Published 2020-04-30
Object tracking on event cameras with offline–online learning (2020)

Rui Jiang Xiaozheng Mou Shunshun Shi Yueyin Zhou Qinyi Wang Meng Dong Shoushun Chen

video tracking detector kalman filter image sensor high dynamic range +6 more

CAAI Transactions on Intelligence Technology 3 citations Published 2020-04-29
Invited perspectives: How machine learning will change flood risk and impact assessment (2020)

Dennis Wagenaar Alex Curran Mariano Balbi Alok Bhardwaj Robert Soden Robert Soden Emir Hartato Gizem Mestav Sarica Laddaporn Ruangpan Giuseppe Molinario David Lallemant

impact assessment flood myth data collection process modeling damages +6 more

Natural Hazards and Earth System Sciences 1 citations Published 2020-04-29
Maximum Density Divergence for Domain Adaptation. (2020)

Jingjing Li Erpeng Chen Zhengming Ding Lei Zhu Ke Lu Heng Tao Shen

theoretical computer science artificial intelligence computer science divergence atmosphere +3 more

IEEE Transactions on Pattern Analysis and Machine Intelligence 14 citations Published 2020-04-28
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning. (2020)

Xinjian Luo Xiangqi Zhu

inference attack inference exploit machine learning computer science +6 more

arXiv preprint arXiv:2004.12571 1 citations Published 2020-04-27
Training machine learning models on patient level data segregation is crucial in practical clinical applications (2020)

Mustafa Umit Oner Mustafa Umit Oner Yi-Chih Cheng Hwee Kuan Lee Wing-Kin Sung Wing-Kin Sung

test set model selection gene mutation deep learning artificial neural network +6 more

medRxiv Published 2020-04-25
Why an Android App is Classified as Malware? Towards Malware Classification Interpretation (2020)

Bozhi Wu Sen Chen Cuiyun Gao Lingling Fan Yang Liu Weiping Wen Michael R. Lyu

mobile malware malware perceptron machine learning computer science +5 more

arXiv preprint arXiv:2004.11516 3 citations Published 2020-04-24

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The Ingredients of Real World Robotic Reinforcement Learning (2020)

Smooth markets: A basic mechanism for organizing gradient-based learners (2020)

ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning (2020)

Neural Epitome Search for Architecture-Agnostic Network Compression (2020)

Mind Your Inflections! Improving NLP for Non-Standard English with Base-Inflection Encoding (2020)

Learning Expensive Coordination: An Event-Based Deep RL Approach (2020)

Enhancing Transformation-Based Defenses Against Adversarial Attacks with a Distribution Classifier (2020)

DivideMix: Learning with Noisy Labels as Semi-supervised Learning (2020)

Discriminative Particle Filter Reinforcement Learning for Complex Partial observations (2020)

CohEval: Benchmarking Coherence Models (2020)

Can Your Context-Aware MT System Pass the DiP Benchmark Tests? : Evaluation Benchmarks for Discourse Phenomena in Machine Translation. (2020)

AirNet: Fused analytical and iterative reconstruction with deep neural network regularization for sparse-data CT. (2020)

Active Learning-Based Fault Diagnosis in Self-Organizing Cellular Networks (2020)

A closer look at the approximation capabilities of neural networks (2020)

Object tracking on event cameras with offline–online learning (2020)

Invited perspectives: How machine learning will change flood risk and impact assessment (2020)

Maximum Density Divergence for Domain Adaptation. (2020)

Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning. (2020)

Training machine learning models on patient level data segregation is crucial in practical clinical applications (2020)

Why an Android App is Classified as Malware? Towards Malware Classification Interpretation (2020)