<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="jumelet-2020-diagnnose">
    <titleInfo>
        <title>diagNNose: A Library for Neural Activation Analysis</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Jaap</namePart>
        <namePart type="family">Jumelet</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2020-11</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Afra</namePart>
            <namePart type="family">Alishahi</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Yonatan</namePart>
            <namePart type="family">Belinkov</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Grzegorz</namePart>
            <namePart type="family">Chrupała</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Dieuwke</namePart>
            <namePart type="family">Hupkes</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Yuval</namePart>
            <namePart type="family">Pinter</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Hassan</namePart>
            <namePart type="family">Sajjad</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Online</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>In this paper we introduce diagNNose, an open source library for analysing the activations of deep neural networks. diagNNose contains a wide array of interpretability techniques that provide fundamental insights into the inner workings of neural networks. We demonstrate the functionality of diagNNose with a case study on subject-verb agreement within language models. diagNNose is available at https://github.com/i-machine-think/diagnnose.</abstract>
    <identifier type="citekey">jumelet-2020-diagnnose</identifier>
    <identifier type="doi">10.18653/v1/2020.blackboxnlp-1.32</identifier>
    <location>
        <url>https://aclanthology.org/2020.blackboxnlp-1.32</url>
    </location>
    <part>
        <date>2020-11</date>
        <extent unit="page">
            <start>342</start>
            <end>350</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T diagNNose: A Library for Neural Activation Analysis
%A Jumelet, Jaap
%Y Alishahi, Afra
%Y Belinkov, Yonatan
%Y Chrupała, Grzegorz
%Y Hupkes, Dieuwke
%Y Pinter, Yuval
%Y Sajjad, Hassan
%S Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F jumelet-2020-diagnnose
%X In this paper we introduce diagNNose, an open source library for analysing the activations of deep neural networks. diagNNose contains a wide array of interpretability techniques that provide fundamental insights into the inner workings of neural networks. We demonstrate the functionality of diagNNose with a case study on subject-verb agreement within language models. diagNNose is available at https://github.com/i-machine-think/diagnnose.
%R 10.18653/v1/2020.blackboxnlp-1.32
%U https://aclanthology.org/2020.blackboxnlp-1.32
%U https://doi.org/10.18653/v1/2020.blackboxnlp-1.32
%P 342-350

Markdown (Informal)

[diagNNose: A Library for Neural Activation Analysis](https://aclanthology.org/2020.blackboxnlp-1.32) (Jumelet, BlackboxNLP 2020)

• diagNNose: A Library for Neural Activation Analysis (Jumelet, BlackboxNLP 2020)

ACL

• Jaap Jumelet. 2020. diagNNose: A Library for Neural Activation Analysis. In Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, pages 342–350, Online. Association for Computational Linguistics.