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SUMMARY:Development of algorithms for partial multi-label machine learning (Webinar)
DESCRIPTION:Register here\n\n\n\n\n\n\n\n\nAbout this webinar\n\n\n\nMachine learning is a branch of artificial intelligence that enables computers to learn from data and make predictions or decisions without being explicitly programmed. Multi-label learning is a type of machine learning problem where each data instance can be associated with multiple labels simultaneously. Partial multi-label learning addresses problems where each instance is assigned a candidate label set and only a subset of these candidate labels is correct. Partial multi-label learning is particularly useful in scenarios where perfect labeling is expensive or impractical\, making it an essential area in weakly supervised learning; however\, a major issue of partial multi-label learning is that the training procedure can be easily misguided by noisy labels. \n\n\n\nIn this webinar\, we will talk about the general features of multiple partial multi-label methods\, and then the development of learning algorithms to handle dataset with large noisy labels across different domains using various frameworks\, with a focus on the recently developed methods for partial multi-label learning based on the Encoder-Decoder framework. \n\n\n\nSpeaker: Mengjie Han\, Associate Professor at Dalarna University. \n\n\n\nWho is this webinar for?\n\n\n\nThis webinar is suitable for data scientists\, software developers\, scientific researchers\, and AI practitioners who are: \n\n\n\n\nfamiliar with the basics of machine learning\n\n\n\nworking on multi-label optimization and learning\, and image processing\n\n\n\nalgorithm developers for scientific packages\n\n\n\n\nKey takeaways\n\n\n\nAfter attending this seminar\, you will: \n\n\n\n\nBe familiar with classic optimization problems\n\n\n\nGet to know an empirical application of Transformers\n\n\n\nUnderstand the importance of algorithms design\n\n\n\nBe aware of how speed enhancements are important to the results\n\n\n\n\nMore events & contact\n\n\n\nCheck out more upcoming events from ENCCS and our European network at https://enccs.se/events. \n\n\n\nFor questions regarding this workshop or general questions about ENNCS training events\, please contact training@enccs.se \n\n\n\nSchedules can change!\n\n\n\nTo ensure that everyone has the opportunity to participate\, we kindly request that you let us know as soon as possible if you are unable to attend an event after registering. \n\n\n\nPlease send us an email at training@enccs.se to cancel your attendance. \n\n\n\nWe understand things can change\, but repeated cancellations without notice may unfortunately result in your name being removed from future event registration lists. \n\n\n\n\n\n\n\nRegulations\n\n\n\nDue to EuroCC2 regulations\, we CAN NOT ACCEPT generic or private email addresses. Please use your official university or company email address for registration. \n\n\n\nThis training is for users who live and work in the European Union or a country associated with Horizon 2020. You can read more about the countries associated with Horizon2020 HERE.
URL:https://enccs.se/events/partial-multi-label-machine-learning-webinar/
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/webp:https://media.enccs.se/2025/02/webinar_yonglei.webp
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DTSTART;TZID=Europe/Stockholm:20250617T090000
DTEND;TZID=Europe/Stockholm:20250618T123000
DTSTAMP:20260419T053330
CREATED:20250424T134644Z
LAST-MODIFIED:20250610T153559Z
UID:37032-1750150800-1750249800@enccs.se
SUMMARY:Multi-GPU Programming Bootcamp (Online)
DESCRIPTION:Registration is closed\n\n\n\n\n\n\nAbout the course\n\n\n\nScaling applications to multiple GPUs across multiple nodes requires one to be adept at programming models and optimization techniques\, and proficient at performing root-cause analysis using in-depth profiling to identify and minimize bottlenecks. The Multi-GPU Programming Bootcamp covers step-by-step ways to improve application performance using cues from profilers and provides an understanding of the underlying technologies and communication topology needed to leverage powerful NVIDIA libraries to extract more performance from the system. \n\n\n\nThis online bootcamp is a hands-on learning experience where experts will guide youwith step-by-step instructions with teaching assistants on hand to help throughout. \n\n\n\nThis bootcamp\, which will be hosted virtually for two half-days on June 17-18\, is co-organized by ENCCS together with the Vienna Scientific Cluster (VSC)\, IT4Innovations National Supercomputing Center (IT4I)\, High-Performance Computing Center Stuttgart (HLRS)\, Jülich Supercomputing Centre (JSC)\, Leibniz Supercomputing Centre (LRZ)\, University of Donja Gorica (UDG)\, Academic Computer Centre Cyfronet AGH (Cyfronet)\, Linköping University (LiU)\, Research Institutes of Sweden (RISE)\, HPC Vega at IZUM (IZUM)\, OpenACC organization\, and NVIDIA for EuroCC Austria\, EuroCC Czechia\, EuroCC@GCS\, EuroCC Montenegro\, EuroCC Poland\, and EuroCC Slovenia\, all National Competence Centres for High-Performance Computing. \n\n\n\nPlease ensure you meet all prerequisites / eligibility before you apply. \n\n\n\nImportant dates\n\n\n\n\n19 May 2025 – Application Deadline\n\n\n\n02 June 2025 – Notification about Acceptance\n\n\n\n16 June 2025\, 14:00 – 15:00 (CEST) – Cluster Dry Run\n\n\n\n17 June 2025\, 09:00 – 15:00 (CEST) – Day 1\n\n\n\n18 June 2025\, 09:00 – 13:30 (CEST) – Day 2\n\n\n\n\nAgenda & Content\n\n\n\nSee Agenda & Content for a detailed timetable and course content. \n\n\n\nPrerequisites\n\n\n\nFor the Multi-GPU Programming Bootcamp you will need experience with: \n\n\n\n\nC/C++\n\n\n\n NVIDIA CUDA\n\n\n\nMPI\n\n\n\n\nCourse format\n\n\n\nThis course will be delivered as a LIVE ONLINE COURSE (using Zoom).All communication will be done through Zoom\, Slack\, and email. \n\n\n\nHands-on labs\n\n\n\nAttendees will have the opportunity to use an A100 GPU on one of the supercomputers of the organizers. \n\n\n\nLecturers\n\n\n\nEvent Moderators: Marta Maj & Klemens Noga (Cyfronet & EuroCC Poland)Instructor: Paul Graham (NVIDIA)Teaching assistants and cluster support from the participating HPC centres: \n\n\n\nMore events & contact\n\n\n\nCheck out more upcoming events from ENCCS and our European network at https://enccs.se/events\, as well as our lessons\, suitable also for self-learning. \n\n\n\nFor questions regarding this workshop or general questions about ENNCS training events\, please contact training@enccs.se \n\n\n\nSchedules can change!\n\n\n\nTo ensure that everyone has the opportunity to participate\, we kindly request that you let us know as soon as possible if you are unable to attend an event after registering. \n\n\n\nPlease send an email at training@cyfronet.pl to cancel your attendance. \n\n\n\nWe understand things can change\, but repeated cancellations without notice may unfortunately result in your name being removed from future event registration lists. \n\n\n\n\n\n\n\nRegulations\n\n\n\nDue to EuroCC2 regulations\, we CAN NOT ACCEPT generic or private email addresses. Please use your official university or company email address for registration. \n\n\n\nThis training is for users who live and work in the European Union or a country associated with Horizon 2020. You can read more about the countries associated with Horizon2020 HERE.
URL:https://enccs.se/events/multi-gpu-programming-bootcamp-june-2025/
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/png:https://media.enccs.se/2025/04/Multi-GPU-2025-06_image.png
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