BEGIN:VCALENDAR
PRODID:-//AddEvent Inc//AddEvent.com v1.7//EN
VERSION:2.0
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:STANDARD
DTSTART:20261101T010000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20260308T030000
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
DESCRIPTION:Abstract: The recent surge in large language and vision models necessitates powerful unsupervised tools for data comprehension and model development. Clustering and data visualization techniques play crucial roles in tasks like retrieval-augmented generation\, open-world recognition\, and embedding quality monitoring. This talk provides an overview of our previous work in this domain\, beginning with revisiting the FINCH algorithm\, a parameter-free clustering approach known for its speed and ability to reveal natural hierarchical data groupings. . Following this\, the discussion encompasses prevalent dimensionality reduction techniques for visualization\, such as t-SNE and UMAP\, and provides a bit deeper look into a new algorithm\, Hierarchical Nearest Neighbor Graph Embedding (h-NNE). Both h-NNE and FINCH excel in speed\, scalability\, and simplicity compared to existing methods. This translates to faster runtimes and effective exposure of inherent clustering structures within large-scale unlabeled data\, making it particularly valuable for visualization and clustering tasks. \n Paper: FINCH https://arxiv.org/abs/1902.11266  Github: https://github.com/ssarfraz/FINCH-Clustering \n Paper: h-NNE https://arxiv.org/abs/2203.12997 Github: https://github.com/koulakis/h-nne \n\nAbout the Speaker: Saquib Sarfraz is working as Lead Deep Learning at Mercedes-Benz Tech Innovation. He has more than 15 years of research and teaching experience in AI and machine learning. He works extensively in R&D support within Mercedes-Benz. Currently he also shares some of his time at Karlsruhe Institute of Technology (KIT) where he is engaged in teaching graduate courses\, research and PhD students supervision.\n\n------\n\nPowered by addevent.com \nShare your next event with us!\n
X-ALT-DESC;FMTTYPE=text/html:Abstract: The recent surge in large language and vision models necessitates powerful unsupervised tools for data comprehension and model development. Clustering and data visualization techniques play crucial roles in tasks like retrieval-augmented generation, open-world recognition, and embedding quality monitoring. This talk provides an overview of our previous work in this domain, beginning with revisiting the FINCH algorithm, a parameter-free clustering approach known for its speed and ability to reveal natural hierarchical data groupings. . Following this, the discussion encompasses prevalent dimensionality reduction techniques for visualization, such as t-SNE and UMAP, and provides a bit deeper look into a new algorithm, Hierarchical Nearest Neighbor Graph Embedding (h-NNE). Both h-NNE and FINCH excel in speed, scalability, and simplicity compared to existing methods. This translates to faster runtimes and effective exposure of inherent clustering structures within large-scale unlabeled data, making it particularly valuable for visualization and clustering tasks. <br /> Paper: FINCH <a href="https://arxiv.org/abs/1902.11266">https://arxiv.org/abs/1902.11266</a>  Github: <a href="https://github.com/ssarfraz/FINCH-Clustering">https://github.com/ssarfraz/FINCH-Clustering</a> <br /> Paper: h-NNE <a href="https://arxiv.org/abs/2203.12997">https://arxiv.org/abs/2203.12997</a> Github: <a href="https://github.com/koulakis/h-nne">https://github.com/koulakis/h-nne</a> <br><br>About the Speaker: Saquib Sarfraz is working as Lead Deep Learning at Mercedes-Benz Tech Innovation. He has more than 15 years of research and teaching experience in AI and machine learning. He works extensively in R&amp;D support within Mercedes-Benz. Currently he also shares some of his time at Karlsruhe Institute of Technology (KIT) where he is engaged in teaching graduate courses, research and PhD students supervision.<br /><br />------<br /><br />Powered by addevent.com <br>Share your next event with us!<br>
UID:6174856af2f34dce8ba1f3d523f442f0addeventcom
SUMMARY:[C4AI] Dr. Saquib Sarfraz - Efficient Clustering and Visualization with FINCH & h-NNE: Large-Scale Data Understanding in NLP and Vision Applications
DTSTART;TZID=America/Los_Angeles:20240417T090000
DTEND;TZID=America/Los_Angeles:20240417T100000
DTSTAMP:20260809T132300Z
TRANSP:OPAQUE
STATUS:CONFIRMED
SEQUENCE:0
LOCATION:https://meet.google.com/yhv-tiir-ava
X-MICROSOFT-CDO-BUSYSTATUS:BUSY
BEGIN:VALARM
TRIGGER:-PT30M
ACTION:DISPLAY
DESCRIPTION:Reminder
END:VALARM
END:VEVENT
END:VCALENDAR