01.07.22 10:53 [VLP Tutorial @ CVPR 2022] Recent Advances in Vision-and-Language Pre-training
Opening Remarks by Lijuan Wang, Microsoft Azure AI. VLP Tutorial website: vlp-tutorial.github.io/2022
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36.5
01.07.22 27:09 [VLP Tutorial @ CVPR 2022] VLP for Vision Part III
VLP for Computer Vision in the Wild by Chunyuan Li, Microsoft Research. VLP Tutorial website: vlp-tutorial.github.io/2022
880
22.2
01.07.22 35:12 [VLP Tutorial @ CVPR 2022] VLP for Vision Part II
VLP for Object Detection by Pengchuan Zhang, Meta AI. VLP Tutorial website: vlp-tutorial.github.io/2022
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01.07.22 26:11 [VLP Tutorial @ CVPR 2022] VLP for Vision Part I
VLP for Image Classification by Jianwei Yang, Microsoft Research. VLP Tutorial website: vlp-tutorial.github.io/2022
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17.6
01.07.22 32:07 [VLP Tutorial @ CVPR 2022] Video-Text Pre-training Part III
Advanced Topics in Video-Text Pre-training by Chung-Ching Lin, Microsoft Azure AI. VLP Tutorial website: vlp-tutorial.github.io/2022
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67.7
01.07.22 22:42 [VLP Tutorial @ CVPR 2022] Video-Text Pre-training Part II
Learning from Multi-channel Videos: Methods and Benchmarks by Linjie Li, Microsoft Azure AI. VLP Tutorial website: vlp-tutorial.github.io/2022
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01.07.22 27:06 [VLP Tutorial @ CVPR 2022] Video-Text Pre-training Part I
Overview of Video-Text Pre-training by Kevin Lin, Microsoft Azure AI. VLP Tutorial website: vlp-tutorial.github.io/2022
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43.9
30.06.22 49:15 [VLP Tutorial @ CVPR 2022] Image-Text Pre-training Part III
Advanced Topics in Image-Text Pre-training by Zhe Gan, Microsoft Azure AI. VLP Tutorial website: vlp-tutorial.github.io/2022
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34.8
30.06.22 40:58 [VLP Tutorial @ CVPR 2022] Image-Text Pre-training Part II
Unified Image-Text Modeling by Zhengyuan Yang, Microsoft Azure AI. VLP Tutorial website: vlp-tutorial.github.io/2022
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34.6
30.06.22 48:59 [VLP Tutorial @ CVPR 2022] Image-Text Pre-training Part I
Overview of Image-Text Pre-training by Jianfeng Wang, Microsoft Azure AI. VLP Tutorial website: vlp-tutorial.github.io/2022
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27.9
27.06.22 1:29:38 MSR-IISc AI Seminar Series: GFlowNets and System 2 Deep Learning - Yoshua Bengio
GFlowNets are instances of a larger family of approaches at the intersection of generative modeling and RL that can be used to train probabilistic inference functions in a way that is related to
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10.4
24.06.22 53:59 Safer Roads, Safer India
Sanjay is CTO of Qwikcilver (the folks who power gift cards), but he’ll visiting in his capacity as co-founder of the Arundhati Foundation ( thearundhatifoundation.org.in), which he and his wife
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17.7
16.06.22 26:07 MIT Technology Review’s Future Compute Conference 2022
Johannes Gehrke, technical fellow and director of Microsoft Research’s Redmond lab, spoke at MIT Future Compute 2022, where IT and business leaders heard from a wide range of speakers across
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13.06.22 55:33 Women in Data Science Community Panel Event: Women in Experimentation
In this video, five female industry leaders from Airbnb, LinkedIn, Microsoft, and Twitter shared insights about their career journeys and how they curate an experimentation driven culture at their
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01.06.22 22:57 Supercharge A/B testing w/automated causal inference |Community Workshop on Microsoft's Causal Tools
An A/B test consists of splitting the customers into a test and a control group, and choosing a large enough sample size to observe the average treatment effect (ATE) we are interested in, in spite
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01.06.22 33:40 Update on Microsoft causal open-source libraries | Community Workshop on Microsoft's Causal Tools
In this talk, we will present Microsoft’s open-source causal tools and how they work together. We’ll review recent updates to DoWhy and EconML and introduce new tools DECI and ShowWhy.
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01.06.22 14:21 Fireside chat with Stu Frost at Community Workshop on Microsoft's Causal Tools
Fireside chat with Stu Frost, Founder/CEO, Geminos Software, discussing challenges in decision-making for supply chain management and how causal analysis and infrastructure can help.
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25.05.22 16:47 AI Advanced Sustainability Research
More and more countries and organizations have realized that sustainability is crucial to human survival.
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23.05.22 1:34:12 MSR-IISc AI Seminar Series: Where on Earth is AI Headed? - Tom M. Mitchell
Ten years ago, computers could not understand spoken words well, but today we routinely speak to our mobile phones, and computer vision algorithms have now reached human or super-human level
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23.05.22 2:20 AdaTest
AdaTest is an open-source tool for finding and fixing bugs in natural language processing (NLP) systems.
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19.05.22 27:50 Materials research from the perspective of computing: data, model, and more
The way people search for a new material is undergoing a transition from "experimental trial and error" to "rational design".
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19.05.22 14:33 FLUTE: Breaking Barriers for Federated Learning Research at Scale
In this video we introduce FLUTE: Federated Learning Utilities and Tools for Experimentation, a framework for running large-scale offline FL simulations.
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03.05.22 1:42 Microsoft New Future of Work Report 2022: AI-powered social platforms
The New Future of Work Report summarizes important research and developments that can help us understand and improve the future of work.
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03.05.22 1:17 Microsoft New Future of Work Report 2022: Team Collaboration
The New Future of Work Report summarizes important research and developments that can help us understand and improve the future of work.
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03.05.22 1:10 Microsoft New Future of Work Report 2022: Individual productivity and well-being
The New Future of Work Report summarizes important research and developments that can help us understand and improve the future of work.
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03.05.22 1:30 Microsoft New Future of Work Report 2022: Asynchronous collaboration
The New Future of Work Report summarizes important research and developments that can help us understand and improve the future of work.
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03.05.22 1:28 Microsoft New Future of Work Report 2022: Hybrid workspaces
The New Future of Work Report summarizes important research and developments that can help us understand and improve the future of work.
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03.05.22 1:18 Microsoft New Future of Work Report 2022: Organizational wellbeing
The New Future of Work Report summarizes important research and developments that can help us understand and improve the future of work.
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02.05.22 1:00:58 Designing an AI-driven Neighborhood Navigator with Black and Latinx NYC Residents
Recorded on April 20, 2022 Speaker: Dr.
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26.04.22 56:13 Overview of AI Research at the VUB Artificial Intelligence Lab
Professor Bernard Manderick is from the Artificial Intelligence Lab of the Department of Informatics at Vrije Universiteit Brussel (VUB), Belgium.
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14.6