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<!DOCTYPE HTML>
<!--
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<html>
<head>
<title>IML Group - Home</title>
<meta charset="utf-8" />
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<link rel="stylesheet" href="assets/css/main.css" />
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<body class="is-preload">
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<div id="page-wrapper">
<!-- Header -->
<header id="header" class="alt">
<a href="index.html"><img src="images/logo.png" /></a>
<nav>
<a href="#menu">Menu</a>
</nav>
</header>
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<nav id="menu">
<div class="inner">
<h2>Menu</h2>
<ul class="links">
<li><a href="index.html">Home</a></li>
<li><a href="publications.html">Publications</a></li>
<li><a href="aboutus.html">Team</a></li>
<li><a href="careers.html">Careers</a></li>
<li><a href="https://github.com/IML-DKFZ" target="_blank" rel="noopener noreferrer">GitHub</a></li>
</ul>
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<center>
<div class="logo">
<img src="images/logo2.png" />
</div>
</center>
<h2>Interactive Machine Learning Group</h2>
<p>At <a href="https://www.helmholtz-imaging.de">Helmholtz Imaging</a> and the <a
href="https://www.dkfz.de/en/interaktives-maschinelles-lernen/index.php">DKFZ</a>
</p>
</div>
</section>
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<section id="four" class="wrapper style2">
<div class="inner">
<div class="content">
<center>
<h5 style="color:grey">Our Mission</h5>
<h2 style="text-transform:none;">We're committed to accelerating the societal benefit of machine
learning systems on vision tasks. To this end, we research their utility,
interpretability and reliability in the context of human interaction.</h2>
</center>
<br><br><br>
<h2 class="major">Our Research</h2>
<p style="text-align:justify;">
Recent successes in AI research may give the impression that society will soon benefit from
autonomous systems replacing human labor.
Behind the scenes, however, tedious manual tasks will remain an integral requirement of machine
learning systems for the foreseeable future,
be it in the form of monitoring outputs for failures, explaining autonomous decisions, or
labeling vast amounts of training data.<br><br>
The field of Interactive Machine Learning tackles these challenges by setting aside the paradigm
of fully autonomous systems and instead placing the human at the center of AI application:
Only the design of human and machine as a symbiotic system from the ground up allows to harness
manual labor in the most efficient way and thus its reduction to a bare minimum. <br><br>
Following this human-centered AI perspective, we focus on 3 impact areas:
</p>
<div class="row">
<div class="col-4 col-12-medium">
<center>
<img src="images/al.png" width="200" alt="" />
<p>
<h3 class="minor" style="line-height: 0px;">Active Learning</h3>
</p>
</center>
<p style="text-align:justify;">To alleviate the burden of manually labeling vast amounts
of
training data, we enable
human-in-the-loop training by transforming state-of-the-art machine learning models
into
interactive tools.</p>
</div>
<div class=" col-4 col-12-medium">
<center>
<img src="images/xai.png" width="200" alt="" />
<p>
<h3 class="minor" style="line-height: 0px;">Explanatory AI</h3>
</p>
</center>
<p style="text-align:justify;">Comprehending a model’s predictions lies at the heart of
human-machine interaction. We
aim to extract the causal reasoning behind decisions and render insights accessible
to
domain experts.</p>
</div>
<div class="col-4 col-12-medium">
<center>
<img src="images/ood.png" width="200" alt="" />
<p>
<h3 class="minor" style="line-height: 0px;">Failure Detection</h3>
</p>
</center>
<p style="text-align:justify;">One aspect of symbiotic decision making strives to
alleviate
the burden of monitoring
predictions from imperfect models. To this end, we research the ability of systems
to
detect and flag their own failures.</p>
</div>
</div>
</div>
</div>
</section>
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<div class="inner">
<h2 class="major">Recent Publications</h2>
<section class="features">
<article>
<a href="publications.html" class="image"><img src="images/Blog_Pub_Images/values.png"
alt="" /></a>
<h3 class="major">ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation</h3>
<p>Kim-Celine Kahl, Carsten T. Lueth, Maximilian Zenk, Klaus Maier-Hein, Paul F. Jaeger / ICLR 2024 Oral</p>
<a href="publications.html" class="special">Learn more</a>
<a href="https://arxiv.org/pdf/2401.08501.pdf" class="download">Download</a>
</article>
<article>
<a href="publications.html" class="image"><img src="images/Blog_Pub_Images/AL_pitfalls.png"
alt="" /></a>
<h3 class="major">Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment</h3>
<p>Carsten T. Lueth, Till J. Bungert, Lukas Klein, Paul F. Jaeger / NeurIPS 2023</p>
<a href="publications.html" class="special">Learn more</a>
<a href="https://openreview.net/pdf?id=Dqn715Txgl" class="download">Download</a>
</article>
<article>
<a href="publications.html" class="image"><img src="images/Blog_Pub_Images/perovskite.png"
alt="" /></a>
<h3 class="major">Discovering Process Dynamics for Scalable Perovskite Solar Cell Manufacturing with Explainable AI</h3>
<p>Lukas Klein, Sebastian Ziegler, Felix Laufer, Charlotte Debus, Markus Goetz, Klaus Maier-Hein, Ulrich W. Paetzold, Fabian Isense and Paul F. Jaeger / Advanced Materials and NeurIPS 2023 XAIA Workshop Oral</p>
<a href="publications.html" class="special">Learn more</a>
<a href="https://onlinelibrary.wiley.com/doi/epdf/10.1002/adma.202307160" class="download">Download</a>
</article>
<article>
<a href="publications.html" class="image"><img src="images/Blog_Pub_Images/fdshifts.png"
alt="" /></a>
<h3 class="major">A Call to Reflect on Evaluation Practices for Failure
Detection in Image Classification</h3>
<p>Paul F. Jaeger, Carsten T. Lueth, Lukas Klein and Till J. Bungert / ICLR 2023 Oral </p>
<a href="publications.html" class="special">Learn more</a>
<a href="https://openreview.net/pdf?id=YnkGMIh0gvX" class="download">Download</a>
</article>
</section>
<a href="publications.html" class="special">See all Publications</a>
</div>
</section>
</section>
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<h2 class="major">Our Blog</h2>
<section class="features">
<article>
<a href="blog.html" class="image"><img src="images/Blog_Pub_Images/xdssl.png" alt="" /></a>
<h3 class="major">Improving Explainability of Disentangled Representations
using
Multipath-Attribution Mappings</h3>
<p>Ethan Perez, Saffron Huang, et al. arXiv 2022 </p>
<a href="/blog_article_1.html" class="special">Learn more</a>
</article>
</section>
<ul class="actions">
<li><a href="blog.html" class="button">Browse our Blog</a></li>
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</section>
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<section id="eight" class="wrapper style2">
<div class="inner">
<div class="content">
<h2 class="major">Our Team</h2>
<div><span class="image fit" style="width: 70%; margin-left: auto;
margin-right: auto;"><img src="images/team2.jpg" alt="" /></span></div>
<a href="aboutus.html" class="special">Find out more</a>
</div>
</div>
</section>
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<section id="one" class="wrapper alt spotlight style1">
<div class="inner">
<a href="#" class="image"><img src="images/hi.png" alt="" /></a>
<div class="content">
<h2 class="major">Helmholtz Imaging</h2>
<p style="text-align:justify;">Helmholtz Imaging (HI) brings scientists and
engineers in the Helmholtz
Association
together to promote and develop imaging science and to foster synergies across imaging
modalities and applications within the Helmholtz Association.</p>
<a href="https://www.helmholtz-imaging.de" class="special">Learn more</a>
</div>
</div>
</section>
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<section id="two" class="wrapper spotlight style1">
<div class="inner">
<a href="#" class="image"><img src="images/dkfz.png" alt="" /></a>
<div class="content">
<h2 class="major">German Cancer Research Center (DKFZ)</h2>
<p style="text-align:justify;">DKFZ is the largest biomedical research institute in Germany and
a member of the
Helmholtz Association of National Research Centers. In over 90 divisions and research
groups,
our more than 3,000 employees, of which more than 1,200 are scientists, are investigating
the
mechanisms of cancer, are identifying cancer risk factors and are trying to find strategies
to
prevent people from getting cancer. </p>
<a href="https://www.dkfz.de/en/interaktives-maschinelles-lernen/index.php"
class="special">Learn
more</a>
</div>
</div>
</section>
<!-- Footer -->
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<div class="inner">
<h2 class="major">Careers</h2>
<p style="text-align:justify;">We are currently looking for Master Students, Phd Candidates, and
Postdocs. To apply, please send
us a single PDF containing the following documents:
<ol>
<li>Cover letter </li>
<li>Curriculum vitae</li>
<li>Transcripts of previous studies</li>
<li>Names and e-mail addresses of two references</li>
<li>Signed data protection consent form <a
href="https://www.dkfz.de/en/mic/vacancies/DataProtectionConsent_E230_english_17.08.2020.pdf">(download
here)
</a></li>
</ol>
For Postdocs: A list of publications and a summary of future research plans (max. 1 page).</p>
<ul class="contact">
<li class="icon solid fa-envelope"><a href="mailto:[email protected]">iml-jobs(at)dkfz.de
</a></li>
</ul>
<h2 class="major">Contact</h2>
<ul class="contact">
<li class="icon solid fa-map-marker-alt">
Interactive Machine Learning (E290) <br />
Deutsches Krebsforschungszentrum <br />
Im Neuenheimer Feld 223 <br />
69120 Heidelberg
</li>
</ul>
<ul class="contact">
<li class="icon solid fa-envelope"><a href="mailto:[email protected]">p.jaeger(at)dkfz.de
</a></li>
<li class="icon brands fa-github"><a href="https://github.com/IML-DKFZ" target="_blank"
rel="noopener noreferrer">https://github.com/IML-DKFZ</a></li>
</ul>
<ul class="copyright">
<li>© Lukas Klein All rights reserved.</li>
<li>Design: <a href="http://html5up.net">HTML5 UP</a></li>
<li><a href="impressum.html">Impressum</a></li>
</ul>
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