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TMLR
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goncalomordido committed Oct 24, 2023
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<div class="section-2">
<h2>2023</h2>
<p> <a href="" target="_blank">Training DNNs resilient to adversarial and random bit-flips by learning quantization ranges.</a></p>
<p> K. Chitsaz, G. Mordido, J. David, F. Leduc-Primeau.</p>
<p> TMLR</p>
<p> <a href="https://arxiv.org/pdf/2211.11109.pdf" target="_blank">Deep learning on a healthy data diet: Finding important examples for fairness and performance.</a></p>
<p> A. Zayed, P. Parthasarathi, G. Mordido, H. Palangi, S. Shabanian, S. Chandar.</p>
<p> AAAI 2023</p>
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