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Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix


Jan 16, 2021
Ruocheng Guo, Pengchuan Zhang, Hao Liu, Emre Kiciman

* 22 pages 

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VinVL: Making Visual Representations Matter in Vision-Language Models


Jan 02, 2021
Pengchuan Zhang, Xiujun Li, Xiaowei Hu, Jianwei Yang, Lei Zhang, Lijuan Wang, Yejin Choi, Jianfeng Gao


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MiniVLM: A Smaller and Faster Vision-Language Model


Dec 13, 2020
Jianfeng Wang, Xiaowei Hu, Pengchuan Zhang, Xiujun Li, Lijuan Wang, Lei Zhang, Jianfeng Gao, Zicheng Liu


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MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network


Oct 03, 2020
Yi Wei, Zhe Gan, Wenbo Li, Siwei Lyu, Ming-Ching Chang, Lei Zhang, Jianfeng Gao, Pengchuan Zhang

* published at ACCV2020 

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Novel Human-Object Interaction Detection via Adversarial Domain Generalization


May 22, 2020
Yuhang Song, Wenbo Li, Lei Zhang, Jianwei Yang, Emre Kiciman, Hamid Palangi, Jianfeng Gao, C. -C. Jay Kuo, Pengchuan Zhang


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Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks


May 18, 2020
Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao

* Code and pre-trained models are released: https://github.com/microsoft/Oscar 

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Object-Centric Image Generation from Layouts


Mar 16, 2020
Tristan Sylvain, Pengchuan Zhang, Yoshua Bengio, R Devon Hjelm, Shikhar Sharma


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Statistical Adaptive Stochastic Gradient Methods


Feb 25, 2020
Pengchuan Zhang, Hunter Lang, Qiang Liu, Lin Xiao


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Understanding the Role of Momentum in Stochastic Gradient Methods


Oct 30, 2019
Igor Gitman, Hunter Lang, Pengchuan Zhang, Lin Xiao

* 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada 

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Using Statistics to Automate Stochastic Optimization


Sep 21, 2019
Hunter Lang, Pengchuan Zhang, Lin Xiao


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TIGEr: Text-to-Image Grounding for Image Caption Evaluation


Sep 04, 2019
Ming Jiang, Qiuyuan Huang, Lei Zhang, Xin Wang, Pengchuan Zhang, Zhe Gan, Jana Diesner, Jianfeng Gao


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Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers


Jun 12, 2019
Hadi Salman, Greg Yang, Jerry Li, Pengchuan Zhang, Huan Zhang, Ilya Razenshteyn, Sebastien Bubeck

* 27 pages 

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Object-driven Text-to-Image Synthesis via Adversarial Training


Feb 27, 2019
Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, Jianfeng Gao

* CVPR 2019 

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A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks


Feb 26, 2019
Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang


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A bird's-eye view on coherence, and a worm's-eye view on cohesion


Nov 01, 2018
Woon Sang Cho, Pengchuan Zhang, Yizhe Zhang, Xiujun Li, Michel Galley, Mengdi Wang, Jianfeng Gao


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RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications


Oct 28, 2018
Huan Zhang, Pengchuan Zhang, Cho-Jui Hsieh

* Work done during internship at Microsoft Research 

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Turbo Learning for Captionbot and Drawingbot


May 21, 2018
Qiuyuan Huang, Pengchuan Zhang, Dapeng Wu, Lei Zhang


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On the Discrimination-Generalization Tradeoff in GANs


Feb 23, 2018
Pengchuan Zhang, Qiang Liu, Dengyong Zhou, Tao Xu, Xiaodong He

* ICLR 2018 

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AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks


Nov 28, 2017
Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He


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