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10/25/2022
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Network
Overparameterization in deep learning typically refers to settings where...
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02/09/2022
On the Implicit Bias of Gradient Descent for Temporal Extrapolation
Common practice when using recurrent neural networks (RNNs) is to apply ...
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10/25/2020
Regularizing Towards Permutation Invariance in Recurrent Models
In many machine learning problems the output should not depend on the or...
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10/13/2020
The workweek is the best time to start a family – A Study of GPT-2 Based Claim Generation
Argument generation is a challenging task whose research is timely consi...
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11/26/2019
A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis
Identifying the quality of free-text arguments has become an important t...
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09/03/2019
Automatic Argument Quality Assessment -- New Datasets and Methods
We explore the task of automatic assessment of argument quality. To that...
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06/10/2019