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

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Eric P. Xing

A Data-Centric Framework for Composable NLP Workflows

Mar 03, 2021
Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu, Mansi Gupta, Pengzhi Gao, Atif Ahmed, Shikun Zhang, Xin Gao, Swapnil Singhavi, Linwei Li, Wei Wei, Zecong Hu, Haoran Shi, Xiaodan Liang, Teruko Mitamura, Eric P. Xing, Zhiting Hu

* 8 pages, 4 figures, EMNLP 2020 

  Access Paper or Ask Questions

Technology Readiness Levels for Machine Learning Systems

Jan 11, 2021
Alexander Lavin, Ciarán M. Gilligan-Lee, Alessya Visnjic, Siddha Ganju, Dava Newman, Sujoy Ganguly, Danny Lange, Atılım Güneş Baydin, Amit Sharma, Adam Gibson, Yarin Gal, Eric P. Xing, Chris Mattmann, James Parr

  Access Paper or Ask Questions

Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels

Nov 28, 2020
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing

  Access Paper or Ask Questions

Squared $\ell_2$ Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations

Nov 25, 2020
Haohan Wang, Zeyi Huang, Xindi Wu, Eric P. Xing

* 12 pages and an additional 9 pages as appendix 

  Access Paper or Ask Questions

Iterative Graph Self-Distillation

Oct 23, 2020
Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, Eric P. Xing

  Access Paper or Ask Questions

Word Shape Matters: Robust Machine Translation with Visual Embedding

Oct 20, 2020
Haohan Wang, Peiyan Zhang, Eric P. Xing

  Access Paper or Ask Questions

Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach

Oct 18, 2020
Bowen Tan, Lianhui Qin, Eric P. Xing, Zhiting Hu

* EMNLP 2020, code and data available at 

  Access Paper or Ask Questions

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning

Aug 27, 2020
Aurick Qiao, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing

  Access Paper or Ask Questions

Self-Challenging Improves Cross-Domain Generalization

Jul 05, 2020
Zeyi Huang, Haohan Wang, Eric P. Xing, Dong Huang

* to appear at ECCV2020 as an oral paper 

  Access Paper or Ask Questions

On Dropout, Overfitting, and Interaction Effects in Deep Neural Networks

Jul 02, 2020
Benjamin Lengerich, Eric P. Xing, Rich Caruana

  Access Paper or Ask Questions

Improving GAN Training with Probability Ratio Clipping and Sample Reweighting

Jun 30, 2020
Yue Wu, Pan Zhou, Andrew Gordon Wilson, Eric P. Xing, Zhiting Hu

* Fixed typos. Code available at: 

  Access Paper or Ask Questions

Progressive Generation of Long Text

Jun 28, 2020
Bowen Tan, Zichao Yang, Maruan AI-Shedivat, Eric P. Xing, Zhiting Hu

* Code available at 

  Access Paper or Ask Questions

Distributed, partially collapsed MCMC for Bayesian Nonparametrics

Jan 15, 2020
Avinava Dubey, Michael Minyi Zhang, Eric P. Xing, Sinead A. Williamson

* Accepted in AISTATS 2020 

  Access Paper or Ask Questions

Learning Data Manipulation for Augmentation and Weighting

Oct 28, 2019
Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom Mitchell, Eric P. Xing

* NeurIPS 2019 

  Access Paper or Ask Questions

Learning Sample-Specific Models with Low-Rank Personalized Regression

Oct 15, 2019
Benjamin Lengerich, Bryon Aragam, Eric P. Xing

* Accepted at NeurIPS 2019 

  Access Paper or Ask Questions

Learning Sparse Nonparametric DAGs

Sep 29, 2019
Xun Zheng, Chen Dan, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing

* 17 pages, 5 figures 

  Access Paper or Ask Questions

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations

Aug 05, 2019
Ksenia Korovina, Sailun Xu, Kirthevasan Kandasamy, Willie Neiswanger, Barnabas Poczos, Jeff Schneider, Eric P. Xing

  Access Paper or Ask Questions

Target-Guided Open-Domain Conversation

May 29, 2019
Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu

* ACL 2019. Data and code available at fixed typos 

  Access Paper or Ask Questions

Learning Robust Global Representations by Penalizing Local Predictive Power

May 29, 2019
Haohan Wang, Songwei Ge, Eric P. Xing, Zachary C. Lipton

  Access Paper or Ask Questions

High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks

May 28, 2019
Haohan Wang, Xindi Wu, Pengcheng Yin, Eric P. Xing

  Access Paper or Ask Questions

Adversarial Domain Adaptation Being Aware of Class Relationships

May 28, 2019
Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing

  Access Paper or Ask Questions

Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report Generation

Mar 25, 2019
Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing

  Access Paper or Ask Questions

Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly

Mar 15, 2019
Kirthevasan Kandasamy, Karun Raju Vysyaraju, Willie Neiswanger, Biswajit Paria, Christopher R. Collins, Jeff Schneider, Barnabas Poczos, Eric P. Xing

  Access Paper or Ask Questions

Learning Robust Representations by Projecting Superficial Statistics Out

Mar 02, 2019
Haohan Wang, Zexue He, Zachary C. Lipton, Eric P. Xing

* To appear at ICLR 2019. Implementation: 

  Access Paper or Ask Questions

Theoretically Principled Trade-off between Robustness and Accuracy

Jan 24, 2019
Hongyang Zhang, Yaodong Yu, Jiantao Jiao, Eric P. Xing, Laurent El Ghaoui, Michael I. Jordan

* Technical details of the winning entry to the NeurIPS 2018 Adversarial Vision Challenge 

  Access Paper or Ask Questions

Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures

Nov 19, 2018
Hongyang Zhang, Susu Xu, Jiantao Jiao, Pengtao Xie, Ruslan Salakhutdinov, Eric P. Xing

* 27 pages, 13 figures, 6 tables 

  Access Paper or Ask Questions

Discourse in Multimedia: A Case Study in Information Extraction

Nov 13, 2018
Mrinmaya Sachan, Kumar Avinava Dubey, Eduard H. Hovy, Tom M. Mitchell, Dan Roth, Eric P. Xing

  Access Paper or Ask Questions

DAGs with NO TEARS: Continuous Optimization for Structure Learning

Nov 03, 2018
Xun Zheng, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing

* 22 pages, 8 figures, accepted to NIPS 2018 

  Access Paper or Ask Questions