Lawrence Carin

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 333

Top Venues

Publications

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)
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) (2024)
Aaron T. Wang, Ricardo Henao, Lawrence Carin
Transformer In-Context Learning for Categorical Data. CoRR (2024)
Ke Bai, Guoyin Wang, Jiwei Li, Sunghyun Park, Sungjin Lee, Puyang Xu, Ricardo Henao, Lawrence Carin
Open World Classification with Adaptive Negative Samples. CoRR (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) (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 (2023)
Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin
Pushing the Efficiency Limit Using Structured Sparse Convolutions. WACV (2023)
Dixin Luo, Hongteng Xu, Lawrence Carin
Differentiable Hierarchical Optimal Transport for Robust Multi-View Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Hongteng Xu, Jiachang Liu, Dixin Luo, Lawrence Carin
Representing Graphs via Gromov-Wasserstein Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (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) (2023)
Ke Bai, Aonan Zhang, Zhizhong Li, Ricardo Henao, Chong Wang, Lawrence Carin
Collaborative Anomaly Detection. CoRR (2022)
Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin
Pushing the Efficiency Limit Using Structured Sparse Convolutions. CoRR (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 (2022)
Paidamoyo Chapfuwa, Sherri Rose, Lawrence Carin, Edward Meeds, Ricardo Henao
Capturing actionable dynamics with structured latent ordinary differential equations. UAI (2022)
Rachel Lea Draelos, Lawrence Carin
Explainable multiple abnormality classification of chest CT volumes. Artif. Intell. Medicine 132 (2022)
Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin
Number Entity Recognition. CoRR (2022)
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)
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)
Siyang Yuan, Yitong Li, Dong Wang, Ke Bai, Lawrence Carin, David E. Carlson
Learning to Weight Filter Groups for Robust Classification. WACV (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 (2022)
Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin
Improving Downstream Task Performance by Treating Numbers as Entities. CIKM (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) (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)
Xunlin Zhan, Yuan Li, Xiao Dong, Xiaodan Liang, Zhiting Hu, Lawrence Carin
elBERto: Self-supervised Commonsense Learning for Question Answering. CoRR (2022)
Paidamoyo Chapfuwa, Sherri Rose, Lawrence Carin, Edward Meeds, Ricardo Henao
Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations. CoRR (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)
Dhanasekar Sundararaman, Nikhil Mehta, Lawrence Carin
Pseudo-OOD training for robust language models. CoRR (2022)
Nikhil Mehta, Kevin J. Liang, Vinay Kumar Verma, Lawrence Carin
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors. AISTATS (2021)
Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin
Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning. ICLR (2021)
Junya Chen, Zidi Xiu, Benjamin Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer. NeurIPS (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 (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
Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE. CoRR (2021)
Serge Assaad, Shuxi Zeng, Chenyang Tao, Shounak Datta, Nikhil Mehta, Ricardo Henao, Fan Li, Lawrence Carin
Counterfactual Representation Learning with Balancing Weights. AISTATS (2021)
Qian Yang, Jianyi Zhang, Weituo Hao, Gregory Spell, Lawrence Carin
FLOP: Federated Learning on Medical Datasets using Partial Networks. CoRR (2021)
Serge Assaad, Shuxi Zeng, Henry Pfister, Fan Li, Lawrence Carin
Hölder Bounds for Sensitivity Analysis in Causal Reasoning. CoRR (2021)
David Dov, Serge Assaad, Shijing Si, Rui Wang, Hongteng Xu, Shahar Ziv Kovalsky, Jonathan Bell, Danielle Elliott Range, Jonathan Cohen, Ricardo Henao, Lawrence Carin
Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images. CHIL (2021)
Vivek Subramanian, Matthew Engelhard, Samuel Berchuck, Liqun Chen, Ricardo Henao, Lawrence Carin
SpanPredict: Extraction of Predictive Document Spans with Neural Attention. NAACL-HLT (2021)
Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin
Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning. CoRR (2021)
Sakshi Varshney, Vinay Kumar Verma, Lawrence Carin, Piyush Rai
Efficient Continual Adaptation for Generative Adversarial Networks. CoRR (2021)
Dhanasekar Sundararaman, Henry Tsai, Kuang-Huei Lee, Iulia Turc, Lawrence Carin
Learning Task Sampling Policy for Multitask Learning. EMNLP (Findings) (2021)
Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin
Syntactic Knowledge-Infused Transformer and BERT Models. CIKM Workshops (2021)
Rachel Lea Draelos, Lawrence Carin
Explainable multiple abnormality classification of chest CT volumes with AxialNet and HiResCAM. CoRR (2021)
Weituo Hao, Mostafa El-Khamy, Jungwon Lee, Jianyi Zhang, Kevin J. Liang, Changyou Chen, Lawrence Carin
Towards Fair Federated Learning With Zero-Shot Data Augmentation. CVPR Workshops (2021)
Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin
Zero-Shot Recognition via Optimal Transport. WACV (2021)
Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Lawrence Carin, Fan Li, Chenyang Tao
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization. CoRR (2021)
Pengyu Cheng, Weituo Hao, Siyang Yuan, Shijing Si, Lawrence Carin
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders. ICLR (2021)
Qian Yang, Jianyi Zhang, Weituo Hao, Gregory P. Spell, Lawrence Carin
FLOP: Federated Learning on Medical Datasets using Partial Networks. KDD (2021)
Weituo Hao, Mostafa El-Khamy, Jungwon Lee, Jianyi Zhang, Kevin J. Liang, Changyou Chen, Lawrence Carin
Towards Fair Federated Learning with Zero-Shot Data Augmentation. CoRR (2021)
Yehua Wei, Lei Zhang, Ruiyi Zhang, Shijing Si, Hao Zhang, Lawrence Carin
Reinforcement Learning for Flexibility Design Problems. CoRR (2021)
Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, Weizhu Chen
What Makes Good In-Context Examples for GPT-3? CoRR (2021)
Sakshi Varshney, Vinay Kumar Verma, P. K. Srijith, Lawrence Carin, Piyush Rai
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks. NeurIPS (2021)
Paidamoyo Chapfuwa, Serge Assaad, Shuxi Zeng, Michael J. Pencina, Lawrence Carin, Ricardo Henao
Enabling counterfactual survival analysis with balanced representations. CHIL (2021)
Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Lawrence Carin
Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning. CoRR (2021)
Junya Chen, Sijia Wang, Lawrence Carin, Chenyang Tao
Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping. CoRR (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 (2021)
Pengyu Cheng, Weituo Hao, Siyang Yuan, Shijing Si, Lawrence Carin
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders. CoRR (2021)
Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha
Learning Graphons via Structured Gromov-Wasserstein Barycenters. AAAI (2021)
Junya Chen, Danni Lu, Zidi Xiu, Ke Bai, Lawrence Carin, Chenyang Tao
Variational Inference with Holder Bounds. CoRR (2021)
Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu
APo-VAE: Text Generation in Hyperbolic Space. NAACL-HLT (2021)
Meng Xia, Meenal K. Kheterpal, Samantha C. Wong, Christine Park, William Ratliff, Lawrence Carin, Ricardo Henao
Malignancy Prediction and Lesion Identification from Clinical Dermatological Images. CoRR (2021)
Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin
Efficient Feature Transformations for Discriminative and Generative Continual Learning. CVPR (2021)
Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin
GO Hessian for Expectation-Based Objectives. AAAI (2021)
Qitong Gao, Dong Wang, Joshua D. Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic
Imputation-Free Learning from Incomplete Observations. CoRR (2021)
Liqun Chen, Dong Wang, Zhe Gan, Jingjing Liu, Ricardo Henao, Lawrence Carin
Wasserstein Contrastive Representation Distillation. CVPR (2021)
Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin
Efficient Feature Transformations for Discriminative and Generative Continual Learning. CoRR (2021)
Kevin J. Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin
MixKD: Towards Efficient Distillation of Large-scale Language Models. ICLR (2021)
Rachel Lea Draelos, Lawrence Carin
HiResCAM: Explainable Multi-Organ Multi-Abnormality Prediction in 3D Medical Images. CoRR (2020)
Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu
Graph Optimal Transport for Cross-Domain Alignment. CoRR (2020)
Shijing Si, Chris J. Oates, Andrew B. Duncan, Lawrence Carin, François-Xavier Briol
Scalable Control Variates for Monte Carlo Methods Via Stochastic Optimization. MCQMC (2020)
Yuewei Yang, Kevin J. Liang, Lawrence Carin
Object Detection as a Positive-Unlabeled Problem. CoRR (2020)
Danni Lu, Chenyang Tao, Junya Chen, Fan Li, Feng Guo, Lawrence Carin
Reconsidering Generative Objectives For Counterfactual Reasoning. NeurIPS (2020)
Yuan Li, Chunyuan Li, Yizhe Zhang, Xiujun Li, Guoqing Zheng, Lawrence Carin, Jianfeng Gao
Complementary Auxiliary Classifiers for Label-Conditional Text Generation. AAAI (2020)
Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin
Nested-Wasserstein Self-Imitation Learning for Sequence Generation. AISTATS (2020)
Ruiyi Zhang, Changyou Chen, Xinyuan Zhang, Ke Bai, Lawrence Carin
Semantic Matching via Optimal Partial Transport. EMNLP (Findings) (2020)
Jianqiao Li, Chunyuan Li, Guoyin Wang, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin
Improving Text Generation with Student-Forcing Optimal Transport. EMNLP (1) (2020)
John McManigle, Raquel Bartz, Lawrence Carin
Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations. CoRR (2020)
John McManigle, Raquel Bartz, Lawrence Carin
Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations. EMBC (2020)
Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin
GO Hessian for Expectation-Based Objectives. CoRR (2020)
Paidamoyo Chapfuwa, Chunyuan Li, Nikhil Mehta, Lawrence Carin, Ricardo Henao
Survival cluster analysis. CHIL (2020)
Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance. ACL (2020)
Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance. CoRR (2020)
Pengyu Cheng, Yitong Li, Xinyuan Zhang, Liqun Chen, David E. Carlson, Lawrence Carin
Dynamic Embedding on Textual Networks via a Gaussian Process. AAAI (2020)
Yuewei Yang, Kevin J. Liang, Lawrence Carin
Object Detection as a Positive-Unlabeled Problem. BMVC (2020)
Kevin J. Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin
MixKD: Towards Efficient Distillation of Large-scale Language Models. CoRR (2020)
Bai Li, Shiqi Wang, Suman Jana, Lawrence Carin
Towards Understanding Fast Adversarial Training. CoRR (2020)
Yulai Cong, Miaoyun Zhao, Jianqiao Li, Sijia Wang, Lawrence Carin
GAN Memory with No Forgetting. CoRR (2020)
Weituo Hao, Chunyuan Li, Xiujun Li, Lawrence Carin, Jianfeng Gao
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training. CoRR (2020)
Yantao Lu, Yunhan Jia, Jianyu Wang, Bai Li, Weiheng Chai, Lawrence Carin, Senem Velipasalar
Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction. CVPR (2020)
Dong Wang, Yuewei Yang, Chenyang Tao, Fanjie Kong, Ricardo Henao, Lawrence Carin
Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models. CoRR (2020)
Miaoyun Zhao, Yulai Cong, Lawrence Carin
On Leveraging Pretrained GANs for Limited-Data Generation. CoRR (2020)
Nathan Inkawhich, Kevin J. Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability. NeurIPS (2020)
Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen, Lawrence Carin
Reward Constrained Interactive Recommendation with Natural Language Feedback. CoRR (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
Improving Text Generation with Student-Forcing Optimal Transport. CoRR (2020)
Nathan Inkawhich, Kevin J. Liang, Lawrence Carin, Yiran Chen
Transferable Perturbations of Deep Feature Distributions. ICLR (2020)
Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Lawrence Carin
Students Need More Attention: BERT-based Attention Model for Small Data with Application to Automatic Patient Message Triage. MLHC (2020)
Rui Wang, Shijing Si, Guoyin Wang, Lei Zhang, Lawrence Carin, Ricardo Henao
Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning. EMNLP (Findings) (2020)
Junya Chen, Zidi Xiu, Benjamin Alan Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao
Supercharging Imbalanced Data Learning With Causal Representation Transfer. CoRR (2020)
Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha
Learning Graphons via Structured Gromov-Wasserstein Barycenters. CoRR (2020)
Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin
Nested-Wasserstein Self-Imitation Learning for Sequence Generation. CoRR (2020)
Paidamoyo Chapfuwa, Serge Assaad, Shuxi Zeng, Michael J. Pencina, Lawrence Carin, Ricardo Henao
Survival Analysis meets Counterfactual Inference. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lawrence Carin