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Muppet: Massive Multi-task Representations with Pre-Finetuning


Jan 26, 2021
Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, Sonal Gupta


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Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning


Dec 22, 2020
Armen Aghajanyan, Luke Zettlemoyer, Sonal Gupta


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Conversational Semantic Parsing


Sep 28, 2020
Armen Aghajanyan, Jean Maillard, Akshat Shrivastava, Keith Diedrick, Mike Haeger, Haoran Li, Yashar Mehdad, Ves Stoyanov, Anuj Kumar, Mike Lewis, Sonal Gupta


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Better Fine-Tuning by Reducing Representational Collapse


Aug 06, 2020
Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta


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Pre-training via Paraphrasing


Jun 26, 2020
Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida Wang, Luke Zettlemoyer


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Towards Language Agnostic Universal Representations


Sep 23, 2018
Armen Aghajanyan, Xia Song, Saurabh Tiwary


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Convolution Aware Initialization


Feb 27, 2017
Armen Aghajanyan


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Charged Point Normalization: An Efficient Solution to the Saddle Point Problem


Feb 07, 2017
Armen Aghajanyan


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SoftTarget Regularization: An Effective Technique to Reduce Over-Fitting in Neural Networks


Dec 03, 2016
Armen Aghajanyan


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Gravitational Clustering


Sep 05, 2015
Armen Aghajanyan


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