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2110.00855
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SurvTRACE: Transformers for Survival Analysis with Competing Events
2 October 2021
Zifeng Wang
Jimeng Sun
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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
Xin Liu
Weijia Zhang
Min-Ling Zhang
116
2
0
19 Oct 2024
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
Zifeng Wang
Jimeng Sun
LMTD
57
141
0
19 May 2022
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
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
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
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
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
Chirag Nagpal
Xinyu Li
A. Dubrawski
OOD
89
121
0
02 Mar 2020
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
Håvard Kvamme
Ørnulf Borgan
26
130
0
15 Oct 2019
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
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.2K
93,936
0
11 Oct 2018
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
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
Ping Wang
Yan Li
Chandan K. Reddy
CML
98
332
0
15 Aug 2017
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
Günter Klambauer
Thomas Unterthiner
Andreas Mayr
Sepp Hochreiter
299
2,496
0
08 Jun 2017
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
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
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
Tobias Schnabel
Adith Swaminathan
Ashudeep Singh
Navin Chandak
Thorsten Joachims
CML
119
679
0
17 Feb 2016
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.1K
149,474
0
22 Dec 2014
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