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JMLR<p>'Consistent Multiclass Algorithms for Complex Metrics and Constraints', by Harikrishna Narasimhan et al.</p><p><a href="http://jmlr.org/papers/v25/22-1137.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/22-1137.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/multiclass" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>multiclass</span></a> <a href="https://sigmoid.social/tags/classifier" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classifier</span></a> <a href="https://sigmoid.social/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classification</span></a></p>
JMLR<p>'Non-splitting Neyman-Pearson Classifiers', by Jingming Wang, Lucy Xia, Zhigang Bao, Xin Tong.</p><p><a href="http://jmlr.org/papers/v25/22-0795.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/22-0795.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/classifiers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classifiers</span></a> <a href="https://sigmoid.social/tags/classifier" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classifier</span></a> <a href="https://sigmoid.social/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classification</span></a></p>
JMLR<p>'Regimes of No Gain in Multi-class Active Learning', by Gan Yuan, Yunfan Zhao, Samory Kpotufe.</p><p><a href="http://jmlr.org/papers/v25/23-0234.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/23-0234.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/classifier" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classifier</span></a> <a href="https://sigmoid.social/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classification</span></a> <a href="https://sigmoid.social/tags/classes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classes</span></a></p>
🧿🪬🍄🌈🎮💻🚲🥓🎃💀🏴🛻🇺🇸<p>How would you go about creating a filter that blocks posts about things that people hate?</p><p>I've thought I could build a text classifier, but it could be hard to train since I'd need to guess whether or not the author hates the thing they are posting about.</p><p>I wouldn't want it to become a filter for all current events news, but I suspect that's what it would become.</p><p><a href="https://mastodon.social/tags/fediverse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>fediverse</span></a> <a href="https://mastodon.social/tags/mastodon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mastodon</span></a> <a href="https://mastodon.social/tags/machineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machineLearning</span></a> <a href="https://mastodon.social/tags/tfidf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tfidf</span></a> <a href="https://mastodon.social/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classification</span></a> <a href="https://mastodon.social/tags/socialMedia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>socialMedia</span></a> <a href="https://mastodon.social/tags/classifier" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classifier</span></a> <a href="https://mastodon.social/tags/textAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>textAnalysis</span></a> <a href="https://mastodon.social/tags/programming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>programming</span></a> <a href="https://mastodon.social/tags/tech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tech</span></a> <a href="https://mastodon.social/tags/technology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>technology</span></a></p>
JMLR<p>'Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data', by Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini.</p><p><a href="http://jmlr.org/papers/v25/23-0121.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/23-0121.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/classifiers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classifiers</span></a> <a href="https://sigmoid.social/tags/classifier" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classifier</span></a> <a href="https://sigmoid.social/tags/labeling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>labeling</span></a></p>
JMLR<p>'On the Learnability of Out-of-distribution Detection', by Zhen Fang, Yixuan Li, Feng Liu, Bo Han, Jie Lu.</p><p><a href="http://jmlr.org/papers/v25/23-1257.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/23-1257.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/learnability" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>learnability</span></a> <a href="https://sigmoid.social/tags/classifier" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classifier</span></a> <a href="https://sigmoid.social/tags/detection" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>detection</span></a></p>
JMLR<p>'A Multilabel Classification Framework for Approximate Nearest Neighbor Search', by Ville Hyvönen, Elias Jääsaari, Teemu Roos.</p><p><a href="http://jmlr.org/papers/v25/23-0286.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/23-0286.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classification</span></a> <a href="https://sigmoid.social/tags/classifiers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classifiers</span></a> <a href="https://sigmoid.social/tags/classifier" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classifier</span></a></p>
JMLR<p>'On Truthing Issues in Supervised Classification', by Jonathan K. Su.</p><p><a href="http://jmlr.org/papers/v25/19-301.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/19-301.htm</span><span class="invisible">l</span></a> <br> <br><a href="https://sigmoid.social/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classification</span></a> <a href="https://sigmoid.social/tags/classifier" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classifier</span></a> <a href="https://sigmoid.social/tags/supervised" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>supervised</span></a></p>
Lizly<p><a href="https://framapiaf.org/tags/writever" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>writever</span></a></p><p>Au fil des stages et des réunions, elle avait appris à taire cela pour s'épargner ces regards d'étonnement un peu écœuré qu'elle connaissait si bien. S'ils ne la blessaient plus, elle encore préférait s'en passer. Mais vraiment, <a href="https://framapiaf.org/tags/classifier" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classifier</span></a> les documents la détendait profondément.<br>Elle reposa sa tasse sans quitter des yeux son abrégé. <br>Bon, songea-t-elle, peut-être qu'elle exagérait un peu en s'attaquant à sa bibliothèque personnelle... </p><p><a href="https://framapiaf.org/tags/microfiction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>microfiction</span></a> Clin d'œil à la team <a href="https://framapiaf.org/tags/profdoc" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>profdoc</span></a></p>
Gaël Varoquaux<p>🌍 I'm off to <a href="https://mastodon.social/tags/iclr2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>iclr2023</span></a>, Kigali</p><p>We'll present our work "beyond <a href="https://mastodon.social/tags/calibration" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>calibration</span></a>", discussing why it is important to control individual probabilities output by classifiers, and how to do it.<br><a href="https://openreview.net/forum?id=6w1k-IixnL8" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=6w1k-I</span><span class="invisible">ixnL8</span></a><br> <br>Our work enables to characterize whether a <a href="https://mastodon.social/tags/classifier" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classifier</span></a> outputs class-probabilities that correspond to the fundamental uncertainty of the class given the data: P(y|X)</p><p>More important, I'll be around to meet people and discuss! Hit me up</p><p><a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a></p>
Tech News Worldwide<p>OpenAI Wants To Help You Figure Out If Text Was Written By OpenAI; But What Happens When It’s Wrong? <br> <br> <a href="https://www.techdirt.com/2023/02/02/openai-wants-to-help-you-figure-out-if-text-was-written-by-openai-but-what-happens-when-its-wrong/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">techdirt.com/2023/02/02/openai</span><span class="invisible">-wants-to-help-you-figure-out-if-text-was-written-by-openai-but-what-happens-when-its-wrong/</span></a> <br> <br> <a href="https://aspiechattr.me/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>artificialintelligence</span></a> <a href="https://aspiechattr.me/tags/algorithms" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>algorithms</span></a> <a href="https://aspiechattr.me/tags/classifier" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classifier</span></a> <a href="https://aspiechattr.me/tags/education" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>education</span></a> <a href="https://aspiechattr.me/tags/reliance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>reliance</span></a> <a href="https://aspiechattr.me/tags/openai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>openai</span></a> <a href="https://aspiechattr.me/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a></p>
Peter McMahan<p>&lt;sigh&gt;</p><p><a href="https://mas.to/tags/openai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>openai</span></a> <a href="https://mas.to/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llm</span></a># <a href="https://mas.to/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://mas.to/tags/classifier" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classifier</span></a> <a href="https://mas.to/tags/aidetector" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>aidetector</span></a></p>
Brendan Hainline<p>This system would allow us to distinguish between phonograms, logograms, and classifiers/determinatives in transliteration. <br>Here, I borrowed Assyriological conventions: italics = phonogram, uppercase = logogram, superscript = determinative. </p><p>Egyptologists could then use a 1:1 transliteration system to study things like <a href="https://archaeo.social/tags/determinative" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>determinative</span></a> / <a href="https://archaeo.social/tags/classifier" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classifier</span></a> usage or how writing conventions changed over time. Under the current system, these studies require *immense* legwork.</p><p>(11/?)</p>
Tech News Worldwide<p>Render Yourself Invisible to AI with This Adversarial Sweater of Doom <br> <br> <a href="https://hackaday.com/2022/10/20/render-yourself-invisible-to-ai-with-this-adversarial-sweater-of-doom/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hackaday.com/2022/10/20/render</span><span class="invisible">-yourself-invisible-to-ai-with-this-adversarial-sweater-of-doom/</span></a> <br> <br> <a href="https://aspiechattr.me/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://aspiechattr.me/tags/objectdetection" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>objectdetection</span></a> <a href="https://aspiechattr.me/tags/neuralnetwork" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuralnetwork</span></a> <a href="https://aspiechattr.me/tags/adversarial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>adversarial</span></a> <a href="https://aspiechattr.me/tags/uglysweater" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>uglysweater</span></a> <a href="https://aspiechattr.me/tags/classifier" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classifier</span></a> <a href="https://aspiechattr.me/tags/CoCo" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CoCo</span></a> <a href="https://aspiechattr.me/tags/YOLO" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>YOLO</span></a> <a href="https://aspiechattr.me/tags/cnn" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cnn</span></a></p>
Daniel aka CyReVolt 🐢<p>To win against a <a href="https://mastodon.social/tags/classifier" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classifier</span></a>, an adversary "simply" has to train a <a href="https://mastodon.social/tags/gan" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GAN</span></a> against an <a href="https://mastodon.social/tags/oracle" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>oracle</span></a>, right? Assuming that the classifier is not statelessly accessible, i.e., the adversary wants to remain undetected, your classifier would have to be sufficiently hard to copy. <a href="https://mastodon.social/tags/infosec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>infosec</span></a> <a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a></p>