tqdm is one of the most used libraries in machine learning.
Victor Zhong
1,689 posts
Victor Zhong
@hllo_wrld
ML+NLP AP @UWCheritonCS, @cifar_news AIChair @vectorinst. Former @MSFTResearch @MetaAI, @SFResearch via @MetamindIO, @uwnlp, @StanfordNLP, @eceuoft.
- Dear 2020 PhD students: what you're doing is nothing short of amazing. It is hard to start a PhD/collaborate with new people virtually/move to a new city/participate in a new community virtually during a pandemic. It will get better! We're all proud of you! Wish you all the best!
- I wrote a guide on how to get started in NLP/ML research if you do not have a background in AI. If you are an undergraduate student looking to get into research, I hope this helps you! victorzhong.com/blog/getting-s…
- I am hiring strong PhD students in ML and NLP at the University of Waterloo to start in 2024. This is an excellent opportunity to be a part of a vibrant new NLP group w/ 5 professors. Please see more details here: victorzhong.com. Deadline is Dec 1!
- Some personal update: I will join @UWCheritonCS as Assistant Professor and @VectorInst as Faculty Member in 2024! I am *very* excited to be back in @Canada to help grow the Canadian AI ecosystem! Please apply if you are interested in a PhD at the intersection of NLP and ML!
- I am hiring for fully funded (up to 3 years) postdoc positions in AI for science at Waterloo/Vector: multimodal deep research, agents, tool-use. You'll work closely w/ industry partners & lead projects. Please share! Apply at r2llab.com/opening or email me directly!
- "Cold emails are hard and good ones can change a life". My research career started w/ a cold email to @AndrewYNg which was dispatched to @RichardSocher . I'm embarrassed to share the email. But I had no research experience, and was finishing my undergrad in FPGA compilation. 1/3Cold emails are hard and good ones can change a life. Here is my email to @NandoDF that started my career in ML (at the time I was a PM at Google) docs.google.com/document/d/1_u… Real effort (incl feedback) went into drafting it. Thanks to @EugeneVinitsky for nudging me to put it online
- Our #emnlp2020 reviews were largely constructive and detailed - I barely squeezed in my response at 900 words after responding to each question! If you are starting out in research and are horrified by academic Twitter please rest assured that there are also great reviewers!
- I increasing think of FAIR of the late 2010’s and very early 2020’s as a golden era of NLP research
- Super excited to share our @iclr_conf 2020 work RTFM: Generalising to Novel Environment Dynamics via Reading (arxiv.org/abs/1910.08210)! Joint work w/ @_rockt and @egrefen at @facebookai research London on RL policies that generalise to new envs via reading! 1/3 👇
- The Dockerized @PyTorch implementation of our @acl2018 paper Global-Locally Self-Attentive Dialogue State Tracker (arxiv.org/abs/1805.09655) is now available on Github (github.com/salesforce/glad). #nlproc
- I am on the job market this year for academic and research positions - please share broadly! My research is on reading to learn: instead of learning specific problems, how can we learn to interpret language to generalize to new problems? More at victorzhong.com #nlproc
- Our latest reading to learn paper Language Dynamics Distillation will appear at #NeurIPS2022! In LDD, we pretrain the agent to read to model env dynamics. LDD improves generalization on 5 distinct language grounding envs over naive RL, VAE, inverse RL. arxiv.org/abs/2210.00066🧵
- Wow this class by @gneubig is probably the most up-to-date #DeepLearning + #NLProc class I've ever seen: phontron.com/class/nn4nlp20…
