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Nan Ding

Purdue University

Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning


May 28, 2021
Nan Ding, Xi Chen, Tomer Levinboim, Sebastian Goodman, Radu Soricut


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Do Transformer Modifications Transfer Across Implementations and Applications?


Feb 23, 2021
Sharan Narang, Hyung Won Chung, Yi Tay, William Fedus, Thibault Fevry, Michael Matena, Karishma Malkan, Noah Fiedel, Noam Shazeer, Zhenzhong Lan, Yanqi Zhou, Wei Li, Nan Ding, Jake Marcus, Adam Roberts, Colin Raffel


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Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts


Feb 17, 2021
Soravit Changpinyo, Piyush Sharma, Nan Ding, Radu Soricut


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Improving Text Generation Evaluation with Batch Centering and Tempered Word Mover Distance


Oct 13, 2020
Xi Chen, Nan Ding, Tomer Levinboim, Radu Soricut

* EMNLP 2020 Eval4NLP Workshop 

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TeaForN: Teacher-Forcing with N-grams


Oct 09, 2020
Sebastian Goodman, Nan Ding, Radu Soricut

* to be published in EMNLP 2020 

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Attention that does not Explain Away


Sep 29, 2020
Nan Ding, Xinjie Fan, Zhenzhong Lan, Dale Schuurmans, Radu Soricut


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Talking-Heads Attention


Mar 05, 2020
Noam Shazeer, Zhenzhong Lan, Youlong Cheng, Nan Ding, Le Hou


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iqiyi Submission to ActivityNet Challenge 2019 Kinetics-700 challenge: Hierarchical Group-wise Attention


Feb 07, 2020
Qian Liu, Dongyang Cai, Jie Liu, Nan Ding, Tao Wang

* Tech report 

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SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation


Apr 11, 2018
Ye Zhang, Nan Ding, Radu Soricut

* NAACL 2018 

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Cold-Start Reinforcement Learning with Softmax Policy Gradient


Oct 13, 2017
Nan Ding, Radu Soricut

* Conference on Neural Information Processing Systems 2017. Main paper and supplementary material 

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Understanding Image and Text Simultaneously: a Dual Vision-Language Machine Comprehension Task


Dec 22, 2016
Nan Ding, Sebastian Goodman, Fei Sha, Radu Soricut

* 11 pages 

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Multilingual Word Embeddings using Multigraphs


Dec 14, 2016
Radu Soricut, Nan Ding

* 12 pages 

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Building Large Machine Reading-Comprehension Datasets using Paragraph Vectors


Dec 13, 2016
Radu Soricut, Nan Ding

* 10 pages 

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On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators


Oct 21, 2016
Changyou Chen, Nan Ding, Lawrence Carin

* NIPS 2015 

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Stochastic Gradient MCMC with Stale Gradients


Oct 21, 2016
Changyou Chen, Nan Ding, Chunyuan Li, Yizhe Zhang, Lawrence Carin

* NIPS2016 

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Probabilistic Label Relation Graphs with Ising Models


Dec 22, 2015
Nan Ding, Jia Deng, Kevin Murphy, Hartmut Neven

* International Conference on Computer Vision (2015) 

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Totally Corrective Boosting with Cardinality Penalization


Apr 07, 2015
Vasil S. Denchev, Nan Ding, Shin Matsushima, S. V. N. Vishwanathan, Hartmut Neven


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Construction of non-convex polynomial loss functions for training a binary classifier with quantum annealing


Jun 17, 2014
Ryan Babbush, Vasil Denchev, Nan Ding, Sergei Isakov, Hartmut Neven

* 15 pages, 6 figures 

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Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling


Jun 18, 2012
Changyou Chen, Nan Ding, Wray Buntine

* ICML2012 

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Theory of Dependent Hierarchical Normalized Random Measures


May 25, 2012
Changyou Chen, Wray Buntine, Nan Ding


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