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Hölder Bounds for Sensitivity Analysis in Causal Reasoning

Jul 09, 2021
Serge Assaad, Shuxi Zeng, Henry Pfister, Fan Li, Lawrence Carin

* Workshop on the Neglected Assumptions in Causal Inference at the International Conference on Machine Learning (ICML), 2021 

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Imputation-Free Learning from Incomplete Observations

Jul 05, 2021
Qitong Gao, Dong Wang, Joshua D. Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic

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Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE

Jul 02, 2021
Junya Chen, Zhe Gan, Xuan Li, Qing Guo, Liqun Chen, Shuyang Gao, Tagyoung Chung, Yi Xu, Belinda Zeng, Wenlian Lu, Fan Li, Lawrence Carin, Chenyang Tao

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Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization

Jul 02, 2021
Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Lawrence Carin, Fan Li, Chenyang Tao

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Towards Fair Federated Learning with Zero-Shot Data Augmentation

Apr 27, 2021
Weituo Hao, Mostafa El-Khamy, Jungwon Lee, Jianyi Zhang, Kevin J Liang, Changyou Chen, Lawrence Carin

* Accepted by IEEE CVPR Workshop on Fair, Data Efficient And Trusted Computer Vision 

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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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