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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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Efficient Feature Transformations for Discriminative and Generative Continual Learning


Mar 25, 2021
Vinay Kumar Verma, Kevin J Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin

* Accepted in CVPR 2021 

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Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning


Mar 17, 2021
Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin

* To appear in ICLR 2021 

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FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders


Mar 11, 2021
Pengyu Cheng, Weituo Hao, Siyang Yuan, Shijing Si, Lawrence Carin

* Accepted by the 9th International Conference on Learning Representations (ICLR 2021) 

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Efficient Continual Adaptation for Generative Adversarial Networks


Mar 06, 2021
Sakshi Varshney, Vinay Kumar Verma, Lawrence Carin, Piyush Rai

* Under Submission 

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Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning


Feb 23, 2021
Vinay Kumar Verma, Kevin Liang, Nikhil Mehta, Lawrence Carin

* Under Review 

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FLOP: Federated Learning on Medical Datasets using Partial Networks


Feb 10, 2021
Qian Yang, Jianyi Zhang, Weituo Hao, Gregory Spell, Lawrence Carin


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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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