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--></style></head><body lang=ZH-CN link=blue vlink="#954F72"><div class=WordSection1><p class=MsoNormal><span lang=EN-US>Hi Adapters,</span></p><p class=MsoNormal><span lang=EN-US> In this week, I will talk about a fresh ACL 2019 paper, <b>Energy and Policy Considerations for Deep Learning in NLP</b>, which </span><span lang=EN-US style='color:black'>discussed several phenomenon in current neural network training, quantitively calculated the carbon footprint of training and fine-tuning several well-known NLP models, and proposed their suggestions regarding those results. It is an interesting and technique-less talk. Hope you enjoy it XD<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='color:black'><o:p> </o:p></span></p><pre><span lang=EN-US style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>Time: 17:30, June, 12<o:p></o:p></span></pre><pre><span lang=EN-US style='font-size:10.5pt;font-family:"Arial",sans-serif;color:black'>Venue: SEIEE 3-414<o:p></o:p></span></pre><p class=MsoNormal><span lang=EN-US style='font-size:12.0pt'><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-size:12.0pt'>Best,<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-size:12.0pt'>Hongru<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal>发送自<span lang=EN-US> Windows 10 </span>版<span lang=EN-US><a href="https://go.microsoft.com/fwlink/?LinkId=550986"><span lang=EN-US><span lang=EN-US>邮件</span></span></a></span>应用</p><p class=MsoNormal><span lang=EN-US style='font-size:12.0pt;font-family:SimSun'><o:p> </o:p></span></p></div></body></html>