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Jaime Carbonell

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The ARIEL-CMU Systems for LoReHLT18

Feb 24, 2019
Aditi Chaudhary, Siddharth Dalmia, Junjie Hu, Xinjian Li, Austin Matthews, Aldrian Obaja Muis, Naoki Otani, Shruti Rijhwani, Zaid Sheikh, Nidhi Vyas, Xinyi Wang, Jiateng Xie, Ruochen Xu, Chunting Zhou, Peter J. Jansen, Yiming Yang, Lori Levin, Florian Metze, Teruko Mitamura, David R. Mortensen, Graham Neubig, Eduard Hovy, Alan W Black, Jaime Carbonell, Graham V. Horwood, Shabnam Tafreshi, Mona Diab, Efsun S. Kayi, Noura Farra, Kathleen McKeown

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Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Jan 18, 2019
Zihang Dai, Zhilin Yang, Yiming Yang, Jaime Carbonell, Quoc V. Le, Ruslan Salakhutdinov

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Characterizing and Avoiding Negative Transfer

Nov 24, 2018
Zirui Wang, Zihang Dai, Barnabás Póczos, Jaime Carbonell

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Zero-shot Neural Transfer for Cross-lingual Entity Linking

Nov 09, 2018
Shruti Rijhwani, Jiateng Xie, Graham Neubig, Jaime Carbonell

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Neural Cross-Lingual Named Entity Recognition with Minimal Resources

Sep 11, 2018
Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime Carbonell

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Towards Semi-Supervised Learning for Deep Semantic Role Labeling

Aug 28, 2018
Sanket Vaibhav Mehta, Jay Yoon Lee, Jaime Carbonell

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Gradient-based Inference for Networks with Output Constraints

Aug 26, 2018
Jay Yoon Lee, Michael Wick, Sanket Vaibhav Mehta, Jean-Baptiste Tristan, Jaime Carbonell

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Convolutional Normalizing Flows

Jul 09, 2018
Guoqing Zheng, Yiming Yang, Jaime Carbonell

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Asymmetric Variational Autoencoders

Jul 09, 2018
Guoqing Zheng, Yiming Yang, Jaime Carbonell

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Towards more Reliable Transfer Learning

Jul 06, 2018
Zirui Wang, Jaime Carbonell

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