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Efficient Classification of Very Large Images with Tiny Objects


Jun 04, 2021
Fanjie Kong, Ricardo Henao


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Malignancy Prediction and Lesion Identification from Clinical Dermatological Images


Apr 02, 2021
Meng Xia, Meenal K. Kheterpal, Samantha C. Wong, Christine Park, William Ratliff, Lawrence Carin, Ricardo Henao


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Quantum Tensor Network in Machine Learning: An Application to Tiny Object Classification


Jan 08, 2021
Fanjie Kong, Xiao-yang Liu, Ricardo Henao

* https://tensorworkshop.github.io/NeurIPS2020/CFP.html 
* 8 pages, 7 figures 

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Wasserstein Contrastive Representation Distillation


Dec 15, 2020
Liqun Chen, Zhe Gan, Dong Wang, Jingjing Liu, Ricardo Henao, Lawrence Carin


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Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models


Dec 06, 2020
Dong Wang, Yuewei Yang, Chenyang Tao, Fanjie Kong, Ricardo Henao, Lawrence Carin


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Supercharging Imbalanced Data Learning With Causal Representation Transfer


Nov 25, 2020
Junya Chen, Zidi Xiu, Benjamin Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao


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Counterfactual Representation Learning with Balancing Weights


Oct 23, 2020
Serge Assaad, Shuxi Zeng, Chenyang Tao, Shounak Datta, Nikhil Mehta, Ricardo Henao, Fan Li, Lawrence Carin


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Variational Disentanglement for Rare Event Modeling


Sep 21, 2020
Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Goldstein, Ricardo Henao


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Weakly supervised cross-domain alignment with optimal transport


Aug 14, 2020
Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin

* Accepted to BMVC 2020 (Oral) 

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Students Need More Attention: BERT-based AttentionModel for Small Data with Application to AutomaticPatient Message Triage


Jun 22, 2020
Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Ricardo Henao, Lawrence Carin

* 20 pages, Machine Learning for Healthcare 2020 (To appear) 

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Survival Analysis meets Counterfactual Inference


Jun 14, 2020
Paidamoyo Chapfuwa, Serge Assaad, Shuxi Zeng, Michael Pencina, Lawrence Carin, Ricardo Henao

* 17 pages 

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Neural Conditional Event Time Models


Apr 03, 2020
Matthew Engelhard, Samuel Berchuck, Joshua D'Arcy, Ricardo Henao


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Variational Learning of Individual Survival Distributions


Mar 09, 2020
Zidi Xiu, Chenyang Tao, Ricardo Henao


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Survival Cluster Analysis


Feb 29, 2020
Paidamoyo Chapfuwa, Chunyuan Li, Nikhil Mehta, Lawrence Carin, Ricardo Henao

* Accepted at ACM CHIL 2020. Code: this https URL, https://github.com/paidamoyo/survival_cluster_analysis 

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Learning Autoencoders with Relational Regularization


Feb 27, 2020
Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin


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Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes


Feb 17, 2020
Rachel Lea Draelos, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, Lawrence Carin

* 18 pages, 3 figures, 5 tables (appendices additional) 

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Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods


Oct 09, 2019
Kevin J Liang, Guoyin Wang, Yitong Li, Ricardo Henao, Lawrence Carin


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Straight-Through Estimator as Projected Wasserstein Gradient Flow


Oct 05, 2019
Pengyu Cheng, Chang Liu, Chunyuan Li, Dinghan Shen, Ricardo Henao, Lawrence Carin

* Accepted as NeurIPS 2018 Bayesian Deep Learning Workshop 

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Improving Textual Network Learning with Variational Homophilic Embeddings


Sep 30, 2019
Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin

* Accepted to NeurIPS 2019 

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Discriminative Clustering for Robust Unsupervised Domain Adaptation


May 30, 2019
Rui Wang, Guoyin Wang, Ricardo Henao


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Survival Function Matching for Calibrated Time-to-Event Predictions


May 21, 2019
Paidamoyo Chapfuwa, Chenyang Tao, Lawrence Carin, Ricardo Henao


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A Deep-Learning Algorithm for Thyroid Malignancy Prediction From Whole Slide Cytopathology Images


Apr 26, 2019
David Dov, Shahar Ziv Kovalsky, Jonathan Cohen, Danielle Elliott Range, Ricardo Henao, Lawrence Carin


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Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images


Mar 29, 2019
David Dov, Shahar Kovalsky, Jonathan Cohen, Danielle Range, Ricardo Henao, Lawrence Carin


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Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment


Aug 29, 2018
Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin

* To appear at EMNLP 2018 

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Multi-Label Learning from Medical Plain Text with Convolutional Residual Models


Aug 08, 2018
Xinyuan Zhang, Ricardo Henao, Zhe Gan, Yitong Li, Lawrence Carin

* Machine Learning for Healthcare 2018 spotlight paper 

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JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets


Jun 08, 2018
Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin

* Accepted by ICML 2018 

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Adversarial Time-to-Event Modeling


Jun 07, 2018
Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Goldstein, Lawrence Carin, Ricardo Henao

* Published in ICML 2018; Code: https://github.com/paidamoyo/adversarial_time_to_event 

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Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms


May 24, 2018
Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin

* To appear at ACL 2018 (code: https://github.com/dinghanshen/SWEM

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