#NeurIPS2022 papers and reviews are now public, including "Rejected Papers that Opted In for Public Release." Please share your favourite rejected papers (by you or others) in this thread! Show us tough but quality reviews, how reviewing is broken, etc. https://
openreview.net/group?id=NeurI
PS.cc/2022/Conference#rejected-papers-opted-in-public
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MACHINE LEARNING
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NeurIPS 2022 Rejected Papers Now Public for Review
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Passive Optical Components Reduce Client Device Energy Consumption
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An interesting way to reduce energy use on client devices by doing more work via passive optical components. // @MIT_CSAIL // #AI #machinelearning #deeplearning #photonics
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NVIDIA Isaac and DRIVE Sim Enable Rapid Robot and Vehicle Learning
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With NVIDIA Isaac simulation technology, #robots can earn a PhD in the blink of an eye. And with NVIDIA DRIVE Sim, autonomous vehicles can drive millions of miles in a wide range of simulated scenarios so they navigate safely. Learn more: https://
nvda.ws/3xTkalW #NVIDIAstory -
Yann LeCun’s 1998 gradient-based deep learning paper breakthrough
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#otd in 1998 Yann LeCun submitted a paper on “gradient-based” deep learning for document recognition. It took more than a decade before the world finally warmed to neural networks: https://
bit.ly/3EzX9FD -
AI Predicts World Cup Soccer Game Outcomes and Goals
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Can #AI predict who wins a game? In a special project to celebrate the world’s biggest football/soccer tournament kicking off later this month, we set out to determine the likelihood of scoring a goal #2022WorldCup Learn more
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Six Ways Artificial Intelligence Transforms Financial Industry
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Six Ways #ArtificialIntelligence is Transforming the #Financial Industry https://
spiceworks.com/tech/artificia
l-intelligence/guest-article/ways-artificial-intelligence-is-transforming-the-financial-industry/
… @SpiceworksNews #AI #MachineLearning #DataScience #Python #BigData #Analytics #100DaysofCode #IoT #serverless #womenwhocode #DigitalTransformation #Robots #TensorFlow #DeepLearning -
Tenstorrent at Toronto Machine Learning Summit
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Come find us at the @TMLS_TO
's Summit in a few weeks in Toronto. Register now –> http://
torontomachinelearning.com #machinelearning #toronto #tenstorrent -
Announcing redun: Open-source workflow framework for data scientists
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Excited to share redun with data scientists everywhere. We hope redun will help democratize data science at scale, and support robust, reproducible science. insitro (@insitro) We're excited to announce the open sourcing of redun, an expressive, efficient, and easy-to-use workflow framework designed to deal with complex, rapidly evolving scientific workflows spanning multiple data types. Read more here: insitro.medium.com/8b06b707a… — https://nitter.net/insitro/status/1456237571340652547#m
→ View original post on X — @daphnekoller, 2021-11-04 18:32 UTC
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insitro Announces $400M Series C Financing for Drug Discovery
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A major milestone in our journey, enabled by the many accomplishments of amazing insitrocytes and support of outstanding, long-term investors. We are excited to continue towards our goal of using #ML and data at scale to bring transformative #medicines to patients. https://t.co/XRGBVFoYMR
— Daphne Koller (@DaphneKoller) 16 mars 2021A major milestone in our journey, enabled by the many accomplishments of amazing insitrocytes and support of outstanding, long-term investors. We are excited to continue towards our goal of using #ML and data at scale to bring transformative #medicines to patients. insitro (@insitro) We're thrilled to announce our $400M Series C financing, which will greatly enable us to continue advancing our vision to reshape the discovery and development of transformative medicines by leveraging #machinelearning and biology and chemistry at scale. bwnews.pr/3eL7G7v — https://nitter.net/insitro/status/1371416831840374789#m
→ View original post on X — @daphnekoller, 2021-03-16 01:54 UTC
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Daphne Koller featured in Forbes article on ML for drug discovery
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Thanks @_RobToews for including me in your @Forbes article and letting me talk about our work about our work at @insitro on using #ML for drug discovery. Honored to be included with a group of such amazing women scientists. bit.ly/3qU1DBa
→ View original post on X — @daphnekoller, 2020-12-13 23:45 UTC