#nldl — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #nldl, aggregated by home.social.
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Having a great time at #NLDL2024! Some really interesting talks on topics as diverse as image segmentation (uncertainty quantification) to new types of image-processing layers (spiking neural network) and more!
I'm learning a lot - so glad I came! So many diverse perspectives and experiences have come together for this conference. Full write-up after the conference as I don't have time to sit downn & write a blog post right now.
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Having a great time at #NLDL2024! Some really interesting talks on topics as diverse as image segmentation (uncertainty quantification) to new types of image-processing layers (spiking neural network) and more!
I'm learning a lot - so glad I came! So many diverse perspectives and experiences have come together for this conference. Full write-up after the conference as I don't have time to sit downn & write a blog post right now.
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Having a great time at #NLDL2024! Some really interesting talks on topics as diverse as image segmentation (uncertainty quantification) to new types of image-processing layers (spiking neural network) and more!
I'm learning a lot - so glad I came! So many diverse perspectives and experiences have come together for this conference. Full write-up after the conference as I don't have time to sit downn & write a blog post right now.
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Another new blog post - gasp!
NLDL 2024: My rainfall radar paper is out!
https://starbeamrainbowlabs.com/blog/article.php?article=posts%2F538-nldl2024-paper-out.html
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Another new blog post - gasp!
NLDL 2024: My rainfall radar paper is out!
https://starbeamrainbowlabs.com/blog/article.php?article=posts%2F538-nldl2024-paper-out.html
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Another new blog post - gasp!
NLDL 2024: My rainfall radar paper is out!
https://starbeamrainbowlabs.com/blog/article.php?article=posts%2F538-nldl2024-paper-out.html
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New blog post: I've submitted a paper on my rainfall radar research to #NLDL 2024!
Title: Towards AI for approximating hydrodynamic simulations as a 2D segmentation task
https://starbeamrainbowlabs.com/blog/article.php?article=posts%2F532-nldl-submission.html
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New blog post: I've submitted a paper on my rainfall radar research to #NLDL 2024!
Title: Towards AI for approximating hydrodynamic simulations as a 2D segmentation task
https://starbeamrainbowlabs.com/blog/article.php?article=posts%2F532-nldl-submission.html
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New blog post: I've submitted a paper on my rainfall radar research to #NLDL 2024!
Title: Towards AI for approximating hydrodynamic simulations as a 2D segmentation task
https://starbeamrainbowlabs.com/blog/article.php?article=posts%2F532-nldl-submission.html
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I've submitted a paper to #nldl2024! This is my first real #conference submission.
Title: Towards AI for approximating hydrodynamic simulations as a 2D segmentation task
Alternate title: Abusing image segmentation to approximate physics based simulations /lh
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I've submitted a paper to #nldl2024! This is my first real #conference submission.
Title: Towards AI for approximating hydrodynamic simulations as a 2D segmentation task
Alternate title: Abusing image segmentation to approximate physics based simulations /lh
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I've submitted a paper to #nldl2024! This is my first real #conference submission.
Title: Towards AI for approximating hydrodynamic simulations as a 2D segmentation task
Alternate title: Abusing image segmentation to approximate physics based simulations /lh
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I've got A 6-page #ai / #deeplearning conference paper I'm putting the finishing touches to that I plan to submit to #nldl2024!
If accepted, this will be my first full academic conference!
It's about a proof of concept using rainfall radar data to predict water depth in 2d. Followers of my PhD update blog post series will remember it as a recurring theme.
Submission deadline is 2023-09-01: https://www.nldl.org/call-for-papers
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I've got A 6-page #ai / #deeplearning conference paper I'm putting the finishing touches to that I plan to submit to #nldl2024!
If accepted, this will be my first full academic conference!
It's about a proof of concept using rainfall radar data to predict water depth in 2d. Followers of my PhD update blog post series will remember it as a recurring theme.
Submission deadline is 2023-09-01: https://www.nldl.org/call-for-papers
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I've got A 6-page #ai / #deeplearning conference paper I'm putting the finishing touches to that I plan to submit to #nldl2024!
If accepted, this will be my first full academic conference!
It's about a proof of concept using rainfall radar data to predict water depth in 2d. Followers of my PhD update blog post series will remember it as a recurring theme.
Submission deadline is 2023-09-01: https://www.nldl.org/call-for-papers
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#SelfSupervision with ~10k parameters & < 10 min training?
Check out our latest work "#Efficient Self-Supervision using Patch-based Contrastive Learning for #Histopathology #Image #Segmentation", to be presented at the #NorthernLights #DeepLearning Conference this week.
The first author Nicklas Boserup, who is currently a 1st year's MSc student from UCPH
, will give an oral presentation at #NLDL this week.Paper: https://arxiv.org/abs/2208.10779
Code: https://github.com/nickeopti/bach-contrastive-segmentation -
#SelfSupervision with ~10k parameters & < 10 min training?
Check out our latest work "#Efficient Self-Supervision using Patch-based Contrastive Learning for #Histopathology #Image #Segmentation", to be presented at the #NorthernLights #DeepLearning Conference this week.
The first author Nicklas Boserup, who is currently a 1st year's MSc student from UCPH
, will give an oral presentation at #NLDL this week.Paper: https://arxiv.org/abs/2208.10779
Code: https://github.com/nickeopti/bach-contrastive-segmentation -
#SelfSupervision with ~10k parameters & < 10 min training?
Check out our latest work "#Efficient Self-Supervision using Patch-based Contrastive Learning for #Histopathology #Image #Segmentation", to be presented at the #NorthernLights #DeepLearning Conference this week.
The first author Nicklas Boserup, who is currently a 1st year's MSc student from UCPH
, will give an oral presentation at #NLDL this week.Paper: https://arxiv.org/abs/2208.10779
Code: https://github.com/nickeopti/bach-contrastive-segmentation -
#SelfSupervision with ~10k parameters & < 10 min training?
Check out our latest work "#Efficient Self-Supervision using Patch-based Contrastive Learning for #Histopathology #Image #Segmentation", to be presented at the #NorthernLights #DeepLearning Conference this week.
The first author Nicklas Boserup, who is currently a 1st year's MSc student from UCPH
, will give an oral presentation at #NLDL this week.Paper: https://arxiv.org/abs/2208.10779
Code: https://github.com/nickeopti/bach-contrastive-segmentation -
#SelfSupervision with ~10k parameters & < 10 min training?
Check out our latest work "#Efficient Self-Supervision using Patch-based Contrastive Learning for #Histopathology #Image #Segmentation", to be presented at the #NorthernLights #DeepLearning Conference this week.
The first author Nicklas Boserup, who is currently a 1st year's MSc student from UCPH
, will give an oral presentation at #NLDL this week.Paper: https://arxiv.org/abs/2208.10779
Code: https://github.com/nickeopti/bach-contrastive-segmentation