Name
Affiliation
Papers
PENGTAO XIE
Tsinghua University(Tsinghua University,Tsinghua Univ,Tsinghua Univ.),Beijing,China
47
Collaborators
Citations 
PageRank 
94
339
22.63
Referers 
Referees 
References 
1112
1228
618
Search Limit
1001000
Title
Citations
PageRank
Year
Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search.00.342022
Learning from Mistakes - a Framework for Neural Architecture Search.00.342022
Contrastive Self-Supervised Learning For Graph Classification00.342021
DSRNA: Differentiable Search of Robust Neural Architectures00.342021
Explaining A Black-Box By Using A Deep Variational Information Bottleneck Approach00.342021
Self-supervised Regularization for Text Classification00.342021
Generalized Zero-Shot Text Classification for ICD Coding30.442020
MedDialog: Large-scale Medical Dialogue Datasets.00.342020
Specific and Shared Causal Relation Modeling and Mechanism-based Clustering00.342019
Explaining a black-box using Deep Variational Information Bottleneck Approach.00.342019
Multimodal Machine Learning for Automated ICD Coding.00.342018
A Neural Architecture For Automated Icd Coding10.362018
Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition.40.502018
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis.10.352018
Nonoverlap-Promoting Variable Selection.00.342018
Orpheus: Efficient Distributed Machine Learning via System and Algorithm Co-design.00.342018
Unsupervised Pseudo-Labeling for Extractive Summarization on Electronic Health Records.00.342018
Missing Value Imputation Based on Deep Generative Models.10.372018
On The Automatic Generation Of Medical Imaging Reports90.632018
Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures.10.352018
Predicting Discharge Medications at Admission Time Based on Deep Learning.20.362017
Near-Orthogonality Regularization In Kernel Methods10.352017
Diversity-Promoting Bayesian Learning of Latent Variable Models.50.392017
Convolutional Neural Networks for Medical Diagnosis from Admission Notes.20.382017
A Constituent-Centric Neural Architecture For Reading Comprehension00.342017
Uncorrelation and Evenness: a New Diversity-Promoting Regularizer.30.362017
Effective Use of Bidirectional Language Modeling for Medical Named Entity Recognition.20.362017
Poseidon: An Efficient Communication Architecture For Distributed Deep Learning On Gpu Clusters230.672017
Deep Determinantal Point Process for Large-Scale Multi-label Classification80.442017
Learning Latent Space Models with Angular Constraints.10.352017
Towards Automated ICD Coding Using Deep Learning.60.502017
Improving the Generalization Performance of Multi-class SVM via Angular Regularization.00.342017
Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning.10.352017
Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting.30.372016
Incorporating Word Correlation Knowledge into Topic Modeling.160.652015
Latent Variable Modeling with Diversity-Inducing Mutual Angular Regularization30.402015
Petuum: A New Platform for Distributed Machine Learning on Big Data.1062.532015
Mining User Interests From Personal Photos60.532015
Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines140.622015
Integrating Image Clustering And Codebook Learning30.412015
Distributed Training of Deep Neural Networks with Theoretical Analysis: Under SSP Setting.00.342015
Diversifying Restricted Boltzmann Machine for Document Modeling270.772015
Learning Compact and Effective Distance Metrics with Diversity Regularization130.512015
On the Generalization Error Bounds of Neural Networks under Diversity-Inducing Mutual Angular Regularization.60.472015
Distributed Machine Learning via Sufficient Factor Broadcasting.30.412015
Multi-modal distance metric learning180.612013
Integrating Document Clustering and Topic Modeling.471.432013