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Reinforcement Learning for Flexibility Design Problems

Jan 18, 2021
Yehua Wei, Lei Zhang, Ruiyi Zhang, Shijing Si, Hao Zhang, Lawrence Carin


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What Makes Good In-Context Examples for GPT-$3$?

Jan 17, 2021
Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, Weizhu Chen


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Learning Graphons via Structured Gromov-Wasserstein Barycenters

Dec 17, 2020
Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha

* AAAI 2021 

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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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HiResCAM: Explainable Multi-Organ Multi-Abnormality Prediction in 3D Medical Images

Nov 17, 2020
Rachel Lea Draelos, Lawrence Carin

* 9 pages, 6 figures 

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MixKD: Towards Efficient Distillation of Large-scale Language Models

Nov 01, 2020
Kevin J Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin


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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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Double Robust Representation Learning for Counterfactual Prediction

Oct 16, 2020
Shuxi Zeng, Serge Assaad, Chenyang Tao, Shounak Datta, Lawrence Carin, Fan Li

* 18 pages, 5 figures, 2 Tables 

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RetiNerveNet: Using Recursive Deep Learning to Estimate Pointwise 24-2 Visual Field Data based on Retinal Structure

Oct 15, 2020
Shounak Datta, Eduardo B. Mariottoni, David Dov, Alessandro A. Jammal, Lawrence Carin, Felipe A. Medeiros


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Improving Text Generation with Student-Forcing Optimal Transport

Oct 12, 2020
Guoyin Wang, Chunyuan Li, Jianqiao Li, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin

* To appear at EMNLP 2020 

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Background Adaptive Faster R-CNN for Semi-Supervised Convolutional Object Detection of Threats in X-Ray Images

Oct 02, 2020
John B. Sigman, Gregory P. Spell, Kevin J Liang, Lawrence Carin

* Proc. SPIE 11404, Anomaly Detection and Imaging with X-Rays (ADIX) V, 1140404 (26 May 2020) 

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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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WAFFLe: Weight Anonymized Factorization for Federated Learning

Aug 13, 2020
Weituo Hao, Nikhil Mehta, Kevin J Liang, Pengyu Cheng, Mostafa El-Khamy, Lawrence Carin


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CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information

Jul 14, 2020
Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, Lawrence Carin

* Accepted by the 37th International Conference on Machine Learing (ICML2020) 

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Bridging Maximum Likelihood and Adversarial Learning via $α$-Divergence

Jul 13, 2020
Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin

* AAAI 2020 

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Graph Optimal Transport for Cross-Domain Alignment

Jun 29, 2020
Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu

* ICML 2020 

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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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GO Hessian for Expectation-Based Objectives

Jun 16, 2020
Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin


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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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GAN Memory with No Forgetting

Jun 13, 2020
Yulai Cong, Miaoyun Zhao, Jianqiao Li, Sijia Wang, Lawrence Carin


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Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization

Jun 12, 2020
Shijing Si, Chris. J. Oates, Andrew B. Duncan, Lawrence Carin, François-Xavier Briol

* 24 pages, 7 figures 

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Hierarchical Optimal Transport for Robust Multi-View Learning

Jun 08, 2020
Dixin Luo, Hongteng Xu, Lawrence Carin


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Improving Disentangled Text Representation Learning with Information-Theoretic Guidance

Jun 06, 2020
Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin

* Accepted by the 58th Annual Meeting of the Association for Computational Linguistics (ACL2020) 

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