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Efficient Meta Lifelong-Learning with Limited Memory


Oct 06, 2020
Zirui Wang, Sanket Vaibhav Mehta, Barnabás Póczos, Jaime Carbonell

* Published as a main conference paper at EMNLP 2020 

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Soft Gazetteers for Low-Resource Named Entity Recognition


May 04, 2020
Shruti Rijhwani, Shuyan Zhou, Graham Neubig, Jaime Carbonell

* Accepted at ACL 2020 

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Improving Candidate Generation for Low-resource Cross-lingual Entity Linking


Mar 03, 2020
Shuyan Zhou, Shruti Rijhawani, John Wieting, Jaime Carbonell, Graham Neubig

* Accepted to TACL 2020 

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StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization


Mar 01, 2020
Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime Carbonell, Yulia Tsvetkov


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Optimizing Data Usage via Differentiable Rewards


Nov 22, 2019
Xinyi Wang, Hieu Pham, Paul Michel, Antonios Anastasopoulos, Graham Neubig, Jaime Carbonell


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Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework


Oct 13, 2019
Zirui Wang, Jiateng Xie, Ruochen Xu, Yiming Yang, Graham Neubig, Jaime Carbonell

* First two authors contributted equally. Source code is available at https://github.com/thespectrewithin/joint-align 

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Learning Rhyming Constraints using Structured Adversaries


Sep 15, 2019
Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime Carbonell, Taylor Berg-Kirkpatrick

* EMNLP-IJCNLP 2019 Short Paper 

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XLNet: Generalized Autoregressive Pretraining for Language Understanding


Jun 19, 2019
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, Quoc V. Le

* Pretrained models and code are available at https://github.com/zihangdai/xlnet 

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Domain Adaptation of Neural Machine Translation by Lexicon Induction


Jun 02, 2019
Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime Carbonell

* published at the 57th Annual Meeting of the Association for Computational Linguistics (ACL). July 2019 

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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

* Code and pretrained models are available at https://github.com/kimiyoung/transformer-xl 

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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

* To appear in AAAI 2019 

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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

* EMNLP 2018 long paper 

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Towards Semi-Supervised Learning for Deep Semantic Role Labeling


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

* EMNLP 2018 

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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

* ICML 2018 Workshop on Theoretical Foundations and Applications of Deep Generative Models 

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Asymmetric Variational Autoencoders


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

* ICML 2018 Workshop on Theoretical Foundations and Applications of Deep Generative Models 

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Towards more Reliable Transfer Learning


Jul 06, 2018
Zirui Wang, Jaime Carbonell

* ECML-PKDD 2018 

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Block-Normalized Gradient Method: An Empirical Study for Training Deep Neural Network


Apr 23, 2018
Adams Wei Yu, Lei Huang, Qihang Lin, Ruslan Salakhutdinov, Jaime Carbonell


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Self-Paced Multitask Learning with Shared Knowledge


Jun 19, 2017
Keerthiram Murugesan, Jaime Carbonell


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Co-Clustering for Multitask Learning


Mar 03, 2017
Keerthiram Murugesan, Jaime Carbonell, Yiming Yang


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Multi-Task Multiple Kernel Relationship Learning


Mar 02, 2017
Keerthiram Murugesan, Jaime Carbonell

* 17th SIAM International Conference on Data Mining (SDM 2017), Houston, Texas, USA, 2017 

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Privacy-Preserving Multi-Document Summarization


Aug 06, 2015
Luís Marujo, José Portêlo, Wang Ling, David Martins de Matos, João P. Neto, Anatole Gershman, Jaime Carbonell, Isabel Trancoso, Bhiksha Raj

* 4 pages, In Proceedings of 2nd ACM SIGIR Workshop on Privacy-Preserving Information Retrieval, August 2015. arXiv admin note: text overlap with arXiv:1407.5416 

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Extending a Single-Document Summarizer to Multi-Document: a Hierarchical Approach


Jul 10, 2015
Luís Marujo, Ricardo Ribeiro, David Martins de Matos, João P. Neto, Anatole Gershman, Jaime Carbonell

* 6 pages, Please cite: Proceedings of *SEM: the 4th Joint Conference on Lexical and Computational Semantics (bibtex: http://aclweb.org/anthology/S/S15/S15-1020.bib

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Bounds on the Minimax Rate for Estimating a Prior over a VC Class from Independent Learning Tasks


May 20, 2015
Liu Yang, Steve Hanneke, Jaime Carbonell


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Ensemble Detection of Single & Multiple Events at Sentence-Level


Mar 24, 2014
Luís Marujo, Anatole Gershman, Jaime Carbonell, João P. Neto, David Martins de Matos

* Preliminary version of the paper 

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Co-Multistage of Multiple Classifiers for Imbalanced Multiclass Learning


Jan 24, 2014
Luis Marujo, Anatole Gershman, Jaime Carbonell, David Martins de Matos, João P. Neto

* Preliminary version of the paper 

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Recognition of Named-Event Passages in News Articles


Jun 20, 2013
Luis Marujo, Wang Ling, Anatole Gershman, Jaime Carbonell, João P. Neto, David Matos

* In 25th International Conference on Computational Linguistics (COLING 2012) 

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