Armen Aghajanyan

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Papers9 papers

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Conversational Semantic Parsing

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

EMNLP 2020, (2020)

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Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

Armen Aghajanyan,Luke Zettlemoyer, Sonal Gupta

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Pre-training via Paraphrasing

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

NeurIPS, (2020)

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Better Fine-Tuning by Reducing Representational Collapse

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

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The Integrated Voxel Analysis Method (IVAM) to Diagnose Onset of Alzheimer's Disease and Identify Brain Regions through Structural MRI Images

Matthew Hur,Armen Aghajanyan

medRxiv, pp.19009597, (2019)

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Towards Language Agnostic Universal Representations

Armen Aghajanyan,Xia Song,Saurabh Tiwary

arXiv: Computation and Language, (2018)

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

Armen Aghajanyan

CYBCONF, (2017): 1-5

EIBibtex

Convolution Aware Initialization

Armen Aghajanyan

CoRR, (2017)

EIBibtex

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

Armen Aghajanyan

international conference on learning representations, (2017)

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