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SurvTRACE: Transformers for Survival Analysis with Competing Events

SurvTRACE: Transformers for Survival Analysis with Competing Events

2 October 2021
Zifeng Wang
Jimeng Sun
ArXivPDFHTML

Papers citing "SurvTRACE: Transformers for Survival Analysis with Competing Events"

23 / 23 papers shown
Title
HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks
HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks
Xin Liu
Weijia Zhang
Min-Ling Zhang
116
2
0
19 Oct 2024
Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using
  Self-Supervision
Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision
Zifeng Wang
Jimeng Sun
48
24
0
29 Jun 2022
TransTab: Learning Transferable Tabular Transformers Across Tables
TransTab: Learning Transferable Tabular Transformers Across Tables
Zifeng Wang
Jimeng Sun
LMTD
57
141
0
19 May 2022
Revisiting Deep Learning Models for Tabular Data
Revisiting Deep Learning Models for Tabular Data
Yu. V. Gorishniy
Ivan Rubachev
Valentin Khrulkov
Artem Babenko
LMTD
85
720
0
22 Jun 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
367
21,175
0
25 Mar 2021
BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma
  Patients
BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients
Yun Zhao
Qinghang Hong
Xinlu Zhang
Yu Deng
Yuqing Wang
Linda R. Petzold
18
17
0
19 Mar 2021
Information Theoretic Counterfactual Learning from Missing-Not-At-Random
  Feedback
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback
Zifeng Wang
Xi Chen
Rui Wen
Shao-Lun Huang
E. Kuruoglu
Yefeng Zheng
BDL
CML
OffRL
22
81
0
06 Sep 2020
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates
Xiaochen Wang
Arash Pakbin
B. Mortazavi
Hongyu Zhao
Donald K. K. Lee
92
9
0
25 Jun 2020
Deep Survival Machines: Fully Parametric Survival Regression and
  Representation Learning for Censored Data with Competing Risks
Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks
Chirag Nagpal
Xinyu Li
A. Dubrawski
OOD
89
121
0
02 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
310
42,038
0
03 Dec 2019
Continuous and Discrete-Time Survival Prediction with Neural Networks
Continuous and Discrete-Time Survival Prediction with Neural Networks
Håvard Kvamme
Ørnulf Borgan
26
130
0
15 Oct 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
435
24,160
0
26 Jul 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.2K
93,936
0
11 Oct 2018
Deep Recurrent Survival Analysis
Deep Recurrent Survival Analysis
Kan Ren
Jiarui Qin
Lei Zheng
Zhengyu Yang
Weinan Zhang
Lin Qiu
Yong Yu
151
132
0
07 Sep 2018
Adversarial Time-to-Event Modeling
Adversarial Time-to-Event Modeling
Paidamoyo Chapfuwa
Chenyang Tao
Chunyuan Li
C. Page
B. Goldstein
Lawrence Carin
Ricardo Henao
AAML
OOD
CML
28
92
0
09 Apr 2018
Machine Learning for Survival Analysis: A Survey
Machine Learning for Survival Analysis: A Survey
Ping Wang
Yan Li
Chandan K. Reddy
CML
98
332
0
15 Aug 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
514
129,831
0
12 Jun 2017
Self-Normalizing Neural Networks
Self-Normalizing Neural Networks
Günter Klambauer
Thomas Unterthiner
Andreas Mayr
Sepp Hochreiter
299
2,496
0
08 Jun 2017
Deep Learning for Patient-Specific Kidney Graft Survival Analysis
Deep Learning for Patient-Specific Kidney Graft Survival Analysis
Margaux Luck
Tristan Sylvain
H. Cardinal
Andrea Lodi
Yoshua Bengio
SyDa
104
115
0
29 May 2017
Deep Survival Analysis
Deep Survival Analysis
Rajesh Ranganath
A. Perotte
Noémie Elhadad
David M. Blei
125
198
0
06 Aug 2016
DeepSurv: Personalized Treatment Recommender System Using A Cox
  Proportional Hazards Deep Neural Network
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Jared Katzman
Uri Shaham
Jonathan Bates
A. Cloninger
Tingting Jiang
Y. Kluger
BDL
CML
OOD
330
1,243
0
02 Jun 2016
Recommendations as Treatments: Debiasing Learning and Evaluation
Recommendations as Treatments: Debiasing Learning and Evaluation
Tobias Schnabel
Adith Swaminathan
Ashudeep Singh
Navin Chandak
Thorsten Joachims
CML
119
679
0
17 Feb 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.1K
149,474
0
22 Dec 2014
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