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Word Shape Matters: Robust Machine Translation with Visual Embedding

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


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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 https://github.com/tanyuqian/aspect-based-summarization 

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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


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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 

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

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


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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: https://github.com/Holmeswww/PPOGAN 

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Progressive Generation of Long Text

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

* Code available at https://github.com/tanyuqian/progressive-generation 

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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 

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Learning Data Manipulation for Augmentation and Weighting

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

* NeurIPS 2019 

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Learning Sample-Specific Models with Low-Rank Personalized Regression

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

* Accepted at NeurIPS 2019 

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Learning Sparse Nonparametric DAGs

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

* 17 pages, 5 figures 

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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


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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 https://github.com/squareRoot3/Target-Guided-Conversation. fixed typos 

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Learning Robust Global Representations by Penalizing Local Predictive Power

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


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High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks

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


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Adversarial Domain Adaptation Being Aware of Class Relationships

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


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

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


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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


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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: https://github.com/HaohanWang/HEX 

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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 

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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 

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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


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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 

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Transformation Autoregressive Networks

Oct 23, 2018
Junier B. Oliva, Avinava Dubey, Manzil Zaheer, Barnabás Póczos, Ruslan Salakhutdinov, Eric P. Xing, Jeff Schneider

* ICML 2018 

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Fault Tolerance in Iterative-Convergent Machine Learning

Oct 17, 2018
Aurick Qiao, Bryon Aragam, Bingjing Zhang, Eric P. Xing


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Toward Understanding the Impact of Staleness in Distributed Machine Learning

Oct 08, 2018
Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric P. Xing

* 19 pages, 12 figures 

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DiCE: The Infinitely Differentiable Monte-Carlo Estimator

Sep 19, 2018
Jakob Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric P. Xing, Shimon Whiteson


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Toward Controlled Generation of Text

Sep 13, 2018
Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing

* Code adapted for text style transfer is released at: https://github.com/asyml/texar/tree/master/examples/text_style_transfer 

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