Hyper Parameters

otherentity ID: hyperparameters

Related Papers

LoonyBin: Keeping Language Technologists Sane through Automated Management of Experimental (Hyper)Workflows

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

AbstractMany contemporary language technology systems are characterized by long pipelines of tools with complex dependencies. Too often, these workflows are implemented by ad hoc scripts; or, worse, tools are run …...

7931

Comparison of scheduling methods for the learning rate of neural network language models (Modèles de langue neuronaux: une comparaison de plusieurs stratégies d’apprentissage) [in French]

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

. If neural networks play an increasingly important role in natural language processing, training issues still hinder their dissemination in the community. This paper studies different learning strategies for neural …...

1887

Massive Exploration of Neural Machine Translation Architectures

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractNeural Machine Translation (NMT) has shown remarkable progress over the past few years, with production systems now being deployed to end-users. As the field is moving rapidly, it has become …...

32932

Analyzing Word Embedding Through Structural Equation Modeling

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractMany researchers have tried to predict the accuracies of extrinsic evaluation by using intrinsic evaluation to evaluate word embedding. The relationship between intrinsic and extrinsic evaluation, however, has only been …...

15352

Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change

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Publication: TIPSTER (2020)

DOI: nan

AbstractThe choice of hyper-parameters affects the performance of neural models. While much previous research (Sutskever et al., 2013; Duchi et al., 2011; Kingma and Ba, 2015) focuses on accelerating convergence …...

37790

Empirical Studies of Institutional Federated Learning For Natural Language Processing

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractFederated learning has sparkled new interests in the deep learning society to make use of isolated data sources from independent institutes. With the development of novel training tools, we have …...

32425

English WordNet Random Walk Pseudo-Corpora

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis is a resource description paper that describes the creation and properties of a set of pseudo-corpora generated artificially from a random walk over the English WordNet taxonomy. Our WordNet …...

14323

JUST System for WMT20 Chat Translation Task

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractMachine Translation (MT) is a sub-field of Artificial Intelligence and Natural Language Processing that investigates and studies the ways of automatically translating a text from one language to another. In …...

27622

DuluthNLP at SemEval-2021 Task 7: Fine-Tuning RoBERTa Model for Humor Detection and Offense Rating

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Publication: TIPSTER (2021)

DOI: nan

AbstractThis paper presents the DuluthNLP submission to Task 7 of the SemEval 2021 competition on Detecting and Rating Humor and Offense. In it, we explain the approach used to train …...

25408

Exploring Mode Connectivity for Pre-trained Language Models

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Publication: TIPSTER (2022)

DOI: nan

AbstractRecent years have witnessed the prevalent application of pre-trained language models (PLMs) in NLP. From the perspective of parameter space, PLMs provide generic initialization, starting from which high-performance minima could …...

30553

Unsupervised Domain Adaptation for Text Classification via Meta Self-Paced Learning

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Publication: TIPSTER (2022)

DOI: nan

AbstractA shift in data distribution can have a significant impact on performance of a text classification model. Recent methods addressing unsupervised domain adaptation for textual tasks typically extracted domain-invariant representations …...

4803