Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

WAFFLe: Weight Anonymized Factorization for Federated Learning

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


  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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

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

* AAAI 2020 

  Access Paper or Ask Questions

Graph Optimal Transport for Cross-Domain Alignment

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

* ICML 2020 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

GO Hessian for Expectation-Based Objectives

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


  Access Paper or Ask Questions

Survival Analysis meets Counterfactual Inference

Jun 14, 2020
Paidamoyo Chapfuwa, Serge Assaad, Shuxi Zeng, Michael Pencina, Lawrence Carin, Ricardo Henao

* 17 pages 

  Access Paper or Ask Questions

GAN Memory with No Forgetting

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Hierarchical Optimal Transport for Robust Multi-View Learning

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


  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

Towards Understanding Fast Adversarial Training

Jun 04, 2020
Bai Li, Shiqi Wang, Suman Jana, Lawrence Carin


  Access Paper or Ask Questions

Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations

May 08, 2020
John McManigle, Raquel Bartz, Lawrence Carin

* Accepted EMBC 2020 

  Access Paper or Ask Questions

Reward Constrained Interactive Recommendation with Natural Language Feedback

May 04, 2020
Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen, Lawrence Carin

* Appeared in NeurIPS 2019; Updated version 

  Access Paper or Ask Questions

Improving Adversarial Text Generation by Modeling the Distant Future

May 04, 2020
Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin

* ACL 2020. arXiv admin note: substantial text overlap with arXiv:1811.00696 

  Access Paper or Ask Questions

APo-VAE: Text Generation in Hyperbolic Space

Apr 30, 2020
Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu


  Access Paper or Ask Questions

Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability

Apr 29, 2020
Nathan Inkawhich, Kevin J Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen


  Access Paper or Ask Questions

Transferable Perturbations of Deep Feature Distributions

Apr 27, 2020
Nathan Inkawhich, Kevin J Liang, Lawrence Carin, Yiran Chen

* Published as a conference paper at ICLR 2020 

  Access Paper or Ask Questions

Bayesian Nonparametric Weight Factorization for Continual Learning

Apr 21, 2020
Nikhil Mehta, Kevin J Liang, Lawrence Carin


  Access Paper or Ask Questions