March 2021 - nlp_reading_group

Papers for Reading Group Discussion on Mar. 23 (Tue)
by Shuaicheng Zhang 20 Mar '21

20 Mar '21

Hi all, Next week's discussion will be on the following papers 1. ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators <https://arxiv.org/abs/2003.10555> 2. GPT-GNN: Generative Pre-Training of Graph Neural Networks <https://arxiv.org/pdf/2006.15437.pdf> Zoom meeting link: (5:00-6:00pm on Tuesday Mar. 23) https://virginiatech.zoom.us/j/5961845863 Regards, Shuaicheng Zhang (540) 808- <%28757%29%20793-9548>*3614* zshuai8(a)vt.edu <nikkelma(a)vt.edu>

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Fwd: [Bburg-fac] Guest Speaker: Dr. Daniel Gruhl from IBM Research, 03/16/2021 5:30-6:30pm EST
by Lifu Huang 12 Mar '21

12 Mar '21

As the following talk is partially overlapped with our reading group discussion, let’s skip next week’s reading discussion meeting. Everyone is encouraged to attend the following talk. --------------------------------- Lifu Huang Assistant Professor Department of Computer Science Virginia Tech ---------- Forwarded message ---------- From: Ismini Lourentzou via Bburg-fac <bburg-fac(a)cs.vt.edu> Date: Mar 12, 2021, 12:35 PM -0500 To: facstaff(a)cs.vt.edu Cc: dgruhl(a)almaden.ibm.com, Daniel Gruhl <daniel.gruhl(a)gmail.com>, Ismini Lourentzou <ilourentzou(a)vt.edu> Subject: [Bburg-fac] Guest Speaker: Dr. Daniel Gruhl from IBM Research, 03/16/2021 5:30-6:30pm EST > Dear colleagues, > > [Apologies for the multiple messages, corrected the email title] > We will have an external speaker, Dr. Daniel Gruhl from IBM Research, presenting during my research group meeting next week. Everyone is welcome to attend. Please share the details below with any of your students that might be interested in attending. Thank you to Dr. Gruhl for accepting the invitation, much appreciated! > > Human-in-the-loop AI, Tuesday, March 16th, 2021, 5:30-6:30 pm EST. Link: https://virginiatech.zoom.us/j/83164601447 > > Abstract: The majority of insight in any domain remains locked in text. From medical to financial to social, unlocking this value requires common sense (as well as domain expertise). Neither of these is fully materialized in AI systems today. Thus unlocking this value, human domain-expert feedback is required. Done poorly, this can bring little value, cost a lot, and annoy a lot of experts. Done well it can create systems that experts enjoy using, generate tremendous impact in hours rather than months, and accomplish orders of magnitude more than either an expert or a system could by themselves. This talk will cover our work at IBM Almaden over the last two decades on Human-in-the-Loop AI systems. > > Bio: Dr. Gruhl is a Research Staff Member at the Almaden Research Center. He received his B.S('94), M.Eng.('95), and Ph.D.('00) degrees from the Massachusetts Institute of Technology in Electrical Engineering and Computer Science. He subsequently joined IBM at the Almaden Research Center where he has worked on large-scale text analytics systems. He has received Outstanding Technology Awards for both the WebFountain system and the UIMA standard for text analytics (included in MIT's Innovators Under 35 list in 2004). He is an author or co-author of at least a dozen patents and two dozen papers. Dr. Gruhl is a member of the IEEE and ACM. > > Full Zoom invitation: > Join Zoom Meeting https://virginiatech.zoom.us/j/83164601447 > Meeting ID: 831 6460 1447 > One tap mobile > +13126266799,,83164601447# US (Chicago) > +19294362866,,83164601447# US (New York) > Dial by your location > +1 312 626 6799 US (Chicago) > +1 929 436 2866 US (New York) > +1 301 715 8592 US (Washington DC) > +1 346 248 7799 US (Houston) > +1 669 900 6833 US (San Jose) > +1 253 215 8782 US (Tacoma) > Meeting ID: 831 6460 1447 > Find your local number: https://virginiatech.zoom.us/u/kc7wKSYnM7 > Join by SIP 83164601447(a)zoomcrc.com > > Join by H.323 > 162.255.37.11 (US West) > 162.255.36.11 (US East) > 115.114.131.7 (India Mumbai) > 115.114.115.7 (India Hyderabad) > 213.19.144.110 (Amsterdam Netherlands) > 213.244.140.110 (Germany) > 103.122.166.55 (Australia Sydney) > 103.122.167.55 (Australia Melbourne) > 149.137.40.110 (Singapore) > 64.211.144.160 (Brazil) > 69.174.57.160 (Canada Toronto) > 65.39.152.160 (Canada Vancouver) > 207.226.132.110 (Japan Tokyo) > 149.137.24.110 (Japan Osaka) > Meeting ID: 831 6460 1447 > > Join by Skype for Business https://virginiatech.zoom.us/skype/83164601447 > > -- > Best Regards, > Ismini Lourentzou > Assistant Professor > Virginia Tech | Computer Science > Email: ilourentzou(a)vt.edu > https://isminoula.github.io/ > _______________________________________________ > Bburg-fac mailing list > Bburg-fac(a)cs.vt.edu

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Papers for Reading Group Discussion on Mar. 9 (Tue)
by Sijia Wang 06 Mar '21

06 Mar '21

Hi all, Next week's discussion will be on the following papers 1. A Framework for Contrastive Self-supervised Learning and Designing a New Approach. ICLR 2021 under review. <https://openreview.net/forum?id=aL00mtbUoal> 2. Big Self-Supervised Models are Strong Semi-Supervised Learners. NeurIPS 2020. <https://papers.nips.cc/paper/2020/hash/fcbc95ccdd551da181207c0c1400c655-Abs…> Hope to see you all on Tuesday! Zoom meeting link: (5:00-6:00pm on Tuesday Mar. 9) https://virginiatech.zoom.us/j/5961845863 <https://virginiatech.zoom.us/j/5961845863> Best regards, Sijia Wang

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