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Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations

Dec 06, 2019
Sven Gowal, Chongli Qin, Po-Sen Huang, Taylan Cemgil, Krishnamurthy Dvijotham, Timothy Mann, Pushmeet Kohli


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Towards Robust Image Classification Using Sequential Attention Models

Dec 04, 2019
Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohl


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Reducing Sentiment Bias in Language Models via Counterfactual Evaluation

Nov 08, 2019
Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack Rae, Vishal Maini, Dani Yogatama, Pushmeet Kohli


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Learning Transferable Graph Exploration

Oct 28, 2019
Hanjun Dai, Yujia Li, Chenglong Wang, Rishabh Singh, Po-Sen Huang, Pushmeet Kohli

* To appear in NeurIPS 2019 

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An Alternative Surrogate Loss for PGD-based Adversarial Testing

Oct 21, 2019
Sven Gowal, Jonathan Uesato, Chongli Qin, Po-Sen Huang, Timothy Mann, Pushmeet Kohli


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Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation

Sep 03, 2019
Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli

* Accepted in EMNLP 2019 

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Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications

Apr 26, 2019
Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli


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Neural Phrase-to-Phrase Machine Translation

Nov 06, 2018
Jiangtao Feng, Lingpeng Kong, Po-Sen Huang, Chong Wang, Da Huang, Jiayuan Mao, Kan Qiao, Dengyong Zhou


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M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search

Nov 01, 2018
Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao

* Yelong Shen, Jianshu Chen and Po-Sen Huang contributed equally to the paper. Published at NIPS 2018 

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Towards Neural Phrase-based Machine Translation

Sep 24, 2018
Po-Sen Huang, Chong Wang, Sitao Huang, Dengyong Zhou, Li Deng

* in International Conference on Learning Representations (ICLR) 2018 

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Robust Text-to-SQL Generation with Execution-Guided Decoding

Sep 13, 2018
Chenglong Wang, Kedar Tatwawadi, Marc Brockschmidt, Po-Sen Huang, Yi Mao, Oleksandr Polozov, Rishabh Singh


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Sequence Modeling via Segmentations

Jul 18, 2018
Chong Wang, Yining Wang, Po-Sen Huang, Abdelrahman Mohamed, Dengyong Zhou, Li Deng

* recurrent neural networks, dynamic programming, structured prediction 

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Natural Language to Structured Query Generation via Meta-Learning

Jul 18, 2018
Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, Xiaodong He

* in NAACL HLT 2018 

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Discourse-Aware Neural Rewards for Coherent Text Generation

May 10, 2018
Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi

* NAACL 2018 

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Link Prediction using Embedded Knowledge Graphs

Apr 22, 2018
Yelong Shen, Po-Sen Huang, Ming-Wei Chang, Jianfeng Gao


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Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension

Sep 23, 2017
David Golub, Po-Sen Huang, Xiaodong He, Li Deng


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ReasoNet: Learning to Stop Reading in Machine Comprehension

Jun 20, 2017
Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen

* in KDD 2017 

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Unsupervised Learning of Predictors from Unpaired Input-Output Samples

Jun 15, 2016
Jianshu Chen, Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng


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Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation

Oct 01, 2015
Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis

* IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.23, no.12, pp.2136-2147, Dec. 2015 

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