Lecturer at @Uni_Newcastle. Previously with Southeast University and @UniversitySA. Humble student of Causal Inference and Machine Learning.
Newcastle, NSW, Australia
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Weijia Zhang retweeted
📢Call for contributions for the Causal Representation Learning workshop (crl-workshop.github.io/) that will be held December 15, 2023 at NeurIPS 2023.
Submission deadline has been extended to October 2, 2023, 23:59 AoE. Please, find more information below.
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Weijia Zhang retweeted
Matt Damon makes a better case for academic tenure than I’ve ever heard
nitter.net/docnoir_/status/169297…
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Weijia Zhang retweeted
AusDM23 special session call for papers!
a) Ethics and Society:
b) Generative modelling
c) Interdisciplinary applications of ML/data science
Details can be found at lnkd.in/gGH426VE.
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Weijia Zhang retweeted
#杨紫琼 成为奥斯卡近百年历史上首位封后的亚裔和华裔演员。
今年60岁的杨紫琼由选美出道，随后在香港成为”打星“，中年进入好莱坞拍戏。
她在出演《瞬息全宇宙》后席卷了全球多个电影大奖，率次在媒体上谈及作为少数族裔进军好莱坞的曲折经历。
阅读报道：ab.co/3le2MoT
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Weijia Zhang retweeted
UAI 2023 looks forward to seeing you at Carnegie Mellon University from July 31 to Aug. 4, 2023. Thanks to our local team and CMU for making things happen!
The 39th edition of UAI will take place at CMU, in Pittsburgh, PA, USA, from July 31 to Aug. 4, 2023
Paper submission deadline is February 17, 2023
For more details, as well as the call for papers and call for tutorials see the website
auai.org/uai2023/
#UAI2023
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Weijia Zhang retweeted
The 39th edition of UAI will take place at CMU, in Pittsburgh, PA, USA, from July 31 to Aug. 4, 2023
Paper submission deadline is February 17, 2023
For more details, as well as the call for papers and call for tutorials see the website
auai.org/uai2023/
#UAI2023
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Weijia Zhang retweeted
We are happy to announce the 2nd conference on Causal Learning and Reasoning (CLeaR) on April 11-14 2023 in Tübingen, Germany 💥 @FrancescoLocat8 @PSpirtes @MihaelaVDS cheng-zhang.org/ @DominikJanzing
Deadline for submissions: Oct 28th 11:59pm AoE cclear.cc/2023/CallforPapers
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Weijia Zhang retweeted
This week in the Causality Discussion Group we have @JKugelgen discussing his recent NeurIPS 2021 paper on "Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style" (proceedings.neurips.cc/paper…)
To join the session click on discuss.causality.link 🌿
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Weijia Zhang retweeted
The CLeaR society is delighted to announce that we are organizing the 2023 edition of CLeaR in Tubingen, Germany. The submission deadline will be around mid-October. Details will be released shortly. Please stay tuned!
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Weijia Zhang retweeted
I just finished reading "Imbalanced volunteer engagement in cultural heritage crowdsourcing: a task-related exploration based on causal inference" by Zhang, Zhang, Zhao and Zhu. Here are my thoughts:
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Weijia Zhang retweeted
Wow! I must say it’s impressive! Good job, folks!
I will take a closer look at that library, and recommend it to anyone working on autoencoders.
After 8 months of long coding nights ☕️ we finally officially release Pythae 🥳, a python library unifying generative autoencoder implementations including vaegan🥗, vqvae or RAEs.
🖥️ github repo: github.com/clementchadebec/b…
👉paper: arxiv.org/abs/2206.08309
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