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Balancing Average and Worst-case Accuracy in Multitask Learning


Oct 12, 2021
Paul Michel, Sebastian Ruder, Dani Yogatama

* Under review 

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Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative


Sep 15, 2021
Lucio M. Dery, Paul Michel, Ameet Talwalkar, Graham Neubig

* 16 pages, 4 figures 

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Learning Neural Models for Natural Language Processing in the Face of Distributional Shift


Sep 03, 2021
Paul Michel

* PhD thesis 

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Examining and Combating Spurious Features under Distribution Shift


Jun 14, 2021
Chunting Zhou, Xuezhe Ma, Paul Michel, Graham Neubig

* Accepted by ICML2021 

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Modeling the Second Player in Distributionally Robust Optimization


Mar 31, 2021
Paul Michel, Tatsunori Hashimoto, Graham Neubig

* Accepted at ICLR 2021 

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Weight Poisoning Attacks on Pre-trained Models


Apr 14, 2020
Keita Kurita, Paul Michel, Graham Neubig

* Published as a long paper at ACL 2020 

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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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Findings of the First Shared Task on Machine Translation Robustness


Jul 03, 2019
Xian Li, Paul Michel, Antonios Anastasopoulos, Yonatan Belinkov, Nadir Durrani, Orhan Firat, Philipp Koehn, Graham Neubig, Juan Pino, Hassan Sajjad


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Are Sixteen Heads Really Better than One?


May 25, 2019
Paul Michel, Omer Levy, Graham Neubig


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compare-mt: A Tool for Holistic Comparison of Language Generation Systems


Mar 19, 2019
Graham Neubig, Zi-Yi Dou, Junjie Hu, Paul Michel, Danish Pruthi, Xinyi Wang

* NAACL 2019 Demo Paper 

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On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models


Mar 19, 2019
Paul Michel, Xian Li, Graham Neubig, Juan Miguel Pino

* NAACL-HLT 2019 long paper 

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MTNT: A Testbed for Machine Translation of Noisy Text


Sep 02, 2018
Paul Michel, Graham Neubig

* EMNLP 2018 Long Paper 

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Extreme Adaptation for Personalized Neural Machine Translation


May 04, 2018
Paul Michel, Graham Neubig

* Accepted as a short paper at ACL 2018 

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Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology Based Representations


May 31, 2017
Paul Michel, Abhilasha Ravichander, Shruti Rijhwani

* 5 pages, 3 figures. Rep4NLP workshop at ACL 2017 

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Blind phoneme segmentation with temporal prediction errors


May 27, 2017
Paul Michel, Okko Räsänen, Roland Thiollière, Emmanuel Dupoux

* 7 pages 3 figures. Presented at ACL SRW 2017 

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DyNet: The Dynamic Neural Network Toolkit


Jan 15, 2017
Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, Pengcheng Yin

* 33 pages 

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