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- Lawrence Carin
Duke University, Durham, USA
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Publication search results
found 609 matches
- 2024
- Hao Zhang
, Yulai Cong
, Zhengjue Wang
, Lei Zhang, Miaoyun Zhao, Liqun Chen, Shijing Si, Ricardo Henao
, Lawrence Carin:
Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6558-6569 (2024) - Vinay Kumar Verma, Nikhil Mehta, Kevin J. Liang, Aakansha Mishra, Lawrence Carin:
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning. WACV 2024: 2709-2719 - Aaron T. Wang, Ricardo Henao, Lawrence Carin:
Transformer In-Context Learning for Categorical Data. CoRR abs/2405.17248 (2024) - 2023
- Dixin Luo
, Hongteng Xu
, Lawrence Carin:
Differentiable Hierarchical Optimal Transport for Robust Multi-View Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7293-7307 (2023) - Hongteng Xu
, Jiachang Liu
, Dixin Luo
, Lawrence Carin:
Representing Graphs via Gromov-Wasserstein Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 999-1016 (2023) - Paidamoyo Chapfuwa
, Chenyang Tao
, Chunyuan Li, Irfan Khan
, Karen Chandross
, Michael J. Pencina, Lawrence Carin, Ricardo Henao
:
Calibration and Uncertainty in Neural Time-to-Event Modeling. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1666-1680 (2023) - Hao Zhang
, Chaojie Wang
, Zhengjue Wang
, Zhibin Duan, Bo Chen
, Mingyuan Zhou, Ricardo Henao
, Lawrence Carin:
Learning Hierarchical Document Graphs From Multilevel Sentence Relations. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4273-4285 (2023) - Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin:
Pushing the Efficiency Limit Using Structured Sparse Convolutions. WACV 2023: 6492-6502 - Ke Bai, Guoyin Wang, Jiwei Li, Sunghyun Park, Sungjin Lee, Puyang Xu, Ricardo Henao, Lawrence Carin:
Open World Classification with Adaptive Negative Samples. CoRR abs/2303.05581 (2023) - Vinay Kumar Verma, Nikhil Mehta, Kevin J. Liang, Aakansha Mishra, Lawrence Carin:
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning. CoRR abs/2312.01167 (2023) - 2022
- Weituo Hao
, Nikhil Mehta, Kevin J. Liang
, Pengyu Cheng, Mostafa El-Khamy
, Lawrence Carin:
WAFFLe: Weight Anonymized Factorization for Federated Learning. IEEE Access 10: 49207-49218 (2022) - Rachel Lea Draelos
, Lawrence Carin:
Explainable multiple abnormality classification of chest CT volumes. Artif. Intell. Medicine 132: 102372 (2022) - Xunlin Zhan
, Yuan Li, Xiao Dong, Xiaodan Liang, Zhiting Hu, Lawrence Carin:
elBERto: Self-supervised commonsense learning for question answering. Knowl. Based Syst. 258: 109964 (2022) - Longxi Zhou
, Xianglin Meng
, Yuxin Huang, Kai Kang, Juexiao Zhou
, Yuetan Chu, Haoyang Li, Dexuan Xie, Jiannan Zhang, Weizhen Yang, Na Bai, Yi Zhao, Mingyan Zhao, Guohua Wang
, Lawrence Carin
, Xigang Xiao
, Kaijiang Yu
, Zhaowen Qiu
, Xin Gao
:
An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors. Nat. Mach. Intell. 4(5): 494-503 (2022) - Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, Weizhu Chen:
What Makes Good In-Context Examples for GPT-3? DeeLIO@ACL 2022: 100-114 - Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin:
Improving Downstream Task Performance by Treating Numbers as Entities. CIKM 2022: 4535-4539 - Ke Bai, Guoyin Wang, Jiwei Li, Sunghyun Park, Sungjin Lee, Puyang Xu, Ricardo Henao, Lawrence Carin:
Open World Classification with Adaptive Negative Samples. EMNLP 2022: 4378-4392 - Qitong Gao, Dong Wang, Joshua David Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic:
Gradient Importance Learning for Incomplete Observations. ICLR 2022 - Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Jing Huang, Lawrence Carin, Fan Li, Chenyang Tao:
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization. NeurIPS 2022 - Paidamoyo Chapfuwa, Sherri Rose, Lawrence Carin, Edward Meeds, Ricardo Henao:
Capturing actionable dynamics with structured latent ordinary differential equations. UAI 2022: 286-295 - Siyang Yuan, Yitong Li, Dong Wang, Ke Bai, Lawrence Carin, David E. Carlson:
Learning to Weight Filter Groups for Robust Classification. WACV 2022: 3321-3330 - Paidamoyo Chapfuwa, Sherri Rose, Lawrence Carin, Edward Meeds, Ricardo Henao:
Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations. CoRR abs/2202.12932 (2022) - Xunlin Zhan, Yuan Li, Xiao Dong, Xiaodan Liang, Zhiting Hu, Lawrence Carin:
elBERto: Self-supervised Commonsense Learning for Question Answering. CoRR abs/2203.09424 (2022) - Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin:
Number Entity Recognition. CoRR abs/2205.03559 (2022) - Ke Bai, Aonan Zhang, Zhizhong Li, Ricardo Henao, Chong Wang, Lawrence Carin:
Collaborative Anomaly Detection. CoRR abs/2209.09923 (2022) - Dhanasekar Sundararaman, Nikhil Mehta, Lawrence Carin:
Pseudo-OOD training for robust language models. CoRR abs/2210.09132 (2022) - Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin:
Pushing the Efficiency Limit Using Structured Sparse Convolutions. CoRR abs/2210.12818 (2022) - 2021
- David Dov, Shahar Z. Kovalsky, Serge Assaad, Jonathan Cohen, Danielle Elliott Range, Avani A. Pendse, Ricardo Henao, Lawrence Carin:
Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images. Medical Image Anal. 67: 101814 (2021) - Rachel Lea Draelos
, David Dov, Maciej A. Mazurowski, Joseph Y. Lo
, Ricardo Henao, Geoffrey D. Rubin
, Lawrence Carin:
Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes. Medical Image Anal. 67: 101857 (2021) - Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin:
GO Hessian for Expectation-Based Objectives. AAAI 2021: 12060-12068
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