ResNet and Neural ODEs are closely related: ResNet uses discrete residual/skip connections, while Neural ODEs generalize this to continuous transformations using ODEs. Neural ODEs can be seen as the limit of ResNet as the number of layers approaches infinity. https://buff.ly/4g027h7
January 23, 2025 at 6:00 AM
ResNet and Neural ODEs are closely related: ResNet uses discrete residual/skip connections, while Neural ODEs generalize this to continuous transformations using ODEs. Neural ODEs can be seen as the limit of ResNet as the number of layers approaches infinity. https://buff.ly/4g027h7
🌞 TYSVM ResNet + Friends 🤩😍😎
February 14, 2025 at 5:58 PM
🌞 TYSVM ResNet + Friends 🤩😍😎
we basically still dont know how resnet works and its been around for forever. Like we understand all the parts, we barely get how they are put together
as a girl with a PhD in natural language processing and machine learning it's actually offensive to me when you say "we don't know how LLMs work so they might be conscious"
I didn't spend 10 years in mines of academia to be told ignorance is morally equal knowledge.
We know exactly how LLMs work.
I didn't spend 10 years in mines of academia to be told ignorance is morally equal knowledge.
We know exactly how LLMs work.
October 5, 2025 at 8:07 AM
we basically still dont know how resnet works and its been around for forever. Like we understand all the parts, we barely get how they are put together
Feeling overwhelmed by all the recent developments in video understanding? What used to require dozens of modular computational workflows involving SLAM, feature tracking, optical flow, camera calibration, multiview geometric constraints, and resnet backbones is now...
(1/3)
(1/3)
March 20, 2026 at 10:48 AM
Feeling overwhelmed by all the recent developments in video understanding? What used to require dozens of modular computational workflows involving SLAM, feature tracking, optical flow, camera calibration, multiview geometric constraints, and resnet backbones is now...
(1/3)
(1/3)
I would say in all my time working on data problems, theres basically 5% of problems that cant be solved by:
- XGBoost
- finetuning resnet 50
- finetuning BERT
- XGBoost
- finetuning resnet 50
- finetuning BERT
July 31, 2025 at 1:07 AM
I would say in all my time working on data problems, theres basically 5% of problems that cant be solved by:
- XGBoost
- finetuning resnet 50
- finetuning BERT
- XGBoost
- finetuning resnet 50
- finetuning BERT
2014 GoogLeNet: The best image classifier was only trainable using weeks of Google's custom infrastructure.
2018 ResNet: A more accurate model is trainable in a 1/2 hour on a single GPU.
What stops this from happening for LLMs?
2018 ResNet: A more accurate model is trainable in a 1/2 hour on a single GPU.
What stops this from happening for LLMs?
Machine learning progresses when complicated breakthroughs are soon dramatically simplified as people figure out the salient parts.
What a world we're in where this well-trodden pattern rocks financial markets and escalates geopolitical conflict.
What a world we're in where this well-trodden pattern rocks financial markets and escalates geopolitical conflict.
January 27, 2025 at 3:16 PM
2014 GoogLeNet: The best image classifier was only trainable using weeks of Google's custom infrastructure.
2018 ResNet: A more accurate model is trainable in a 1/2 hour on a single GPU.
What stops this from happening for LLMs?
2018 ResNet: A more accurate model is trainable in a 1/2 hour on a single GPU.
What stops this from happening for LLMs?
اینجا کسی هست دیپلرنینگ کار کرده باشه؟ ترجیحا با ResNet50، یا هر مدل CNNای با عکس کار کرده باشه؟
ممنون میشم اگه ریپست کنید.
#ResNET
ممنون میشم اگه ریپست کنید.
#ResNET
July 11, 2023 at 3:29 PM
اینجا کسی هست دیپلرنینگ کار کرده باشه؟ ترجیحا با ResNet50، یا هر مدل CNNای با عکس کار کرده باشه؟
ممنون میشم اگه ریپست کنید.
#ResNET
ممنون میشم اگه ریپست کنید.
#ResNET
ResNet is all you need!
April 16, 2025 at 6:11 PM
ResNet is all you need!
🤔 What if embedding multimodal EO data was as easy as using a ResNet on images?
Introducing AnySat: one model for any resolution (0.2m–250m), scale (0.3–2600 hectares), and modalities (choose from 11 sensors & time series)!
Try it with just a few lines of code:
Introducing AnySat: one model for any resolution (0.2m–250m), scale (0.3–2600 hectares), and modalities (choose from 11 sensors & time series)!
Try it with just a few lines of code:
December 19, 2024 at 10:46 AM
🤔 What if embedding multimodal EO data was as easy as using a ResNet on images?
Introducing AnySat: one model for any resolution (0.2m–250m), scale (0.3–2600 hectares), and modalities (choose from 11 sensors & time series)!
Try it with just a few lines of code:
Introducing AnySat: one model for any resolution (0.2m–250m), scale (0.3–2600 hectares), and modalities (choose from 11 sensors & time series)!
Try it with just a few lines of code:
New paper devises a metric for feature complexity, and uses it to show that simpler features are learned earlier and tend to be more important. They’re working with ResNet 50 and idk to what extent this applies to diffusion, but: cool map of visual experience. #MLSky arxiv.org/abs/2407.06076
October 29, 2024 at 2:13 PM
New paper devises a metric for feature complexity, and uses it to show that simpler features are learned earlier and tend to be more important. They’re working with ResNet 50 and idk to what extent this applies to diffusion, but: cool map of visual experience. #MLSky arxiv.org/abs/2407.06076
Have you ever wondered what makes two models different?
We all know the ViT-Large performs better than the Resnet-50, but what visual concepts drive this difference? Our new ICLR 2025 paper addresses this question! nkondapa.github.io/rsvc-page/
We all know the ViT-Large performs better than the Resnet-50, but what visual concepts drive this difference? Our new ICLR 2025 paper addresses this question! nkondapa.github.io/rsvc-page/
April 11, 2025 at 4:11 PM
Have you ever wondered what makes two models different?
We all know the ViT-Large performs better than the Resnet-50, but what visual concepts drive this difference? Our new ICLR 2025 paper addresses this question! nkondapa.github.io/rsvc-page/
We all know the ViT-Large performs better than the Resnet-50, but what visual concepts drive this difference? Our new ICLR 2025 paper addresses this question! nkondapa.github.io/rsvc-page/
Great to be at this year's Annual #ResNet meeting for a day of networking, workshops and discussions with alumni. We'll be exploring career journeys, impact beyond academia, and translating research into practice #SPHRtrainees #CapacityBuilding #PublicHealth
May 20, 2025 at 10:08 AM
Great to be at this year's Annual #ResNet meeting for a day of networking, workshops and discussions with alumni. We'll be exploring career journeys, impact beyond academia, and translating research into practice #SPHRtrainees #CapacityBuilding #PublicHealth
A fun thesis experiment: ResNet, DETR, and CLIP tackle Saint-Bernards. 🐶
ResNet focused on **fur** patterns, DETR too but also use **paws** (possibly because it helps define bounding boxes), and CLIP **head** concept oddly included human heads — language shaping learned concepts?
ResNet focused on **fur** patterns, DETR too but also use **paws** (possibly because it helps define bounding boxes), and CLIP **head** concept oddly included human heads — language shaping learned concepts?
November 27, 2024 at 6:51 PM
A fun thesis experiment: ResNet, DETR, and CLIP tackle Saint-Bernards. 🐶
ResNet focused on **fur** patterns, DETR too but also use **paws** (possibly because it helps define bounding boxes), and CLIP **head** concept oddly included human heads — language shaping learned concepts?
ResNet focused on **fur** patterns, DETR too but also use **paws** (possibly because it helps define bounding boxes), and CLIP **head** concept oddly included human heads — language shaping learned concepts?
2/ Here are the top five classifications from a leading CNN (Resnet-50). As you can see, not only are the images misclassified, but they're misclassified in ways that connote death, disrepair, and decay.
March 23, 2025 at 1:02 PM
2/ Here are the top five classifications from a leading CNN (Resnet-50). As you can see, not only are the images misclassified, but they're misclassified in ways that connote death, disrepair, and decay.
Researchers at Vel Tech Institute trained deep learning models on cough sounds to detect COVID-19.
Their ResNet-18 model achieved 98.5% accuracy and only 1% false positives, showing strong potential for rapid, low-cost screening.
www.nature.com/articles/s41...
Their ResNet-18 model achieved 98.5% accuracy and only 1% false positives, showing strong potential for rapid, low-cost screening.
www.nature.com/articles/s41...
ResNet-EfficientNet powered framework for high-precision cough-based classification of infectious diseases - Scientific Reports
Scientific Reports - ResNet-EfficientNet powered framework for high-precision cough-based classification of infectious diseases
www.nature.com
November 6, 2025 at 6:32 PM
Researchers at Vel Tech Institute trained deep learning models on cough sounds to detect COVID-19.
Their ResNet-18 model achieved 98.5% accuracy and only 1% false positives, showing strong potential for rapid, low-cost screening.
www.nature.com/articles/s41...
Their ResNet-18 model achieved 98.5% accuracy and only 1% false positives, showing strong potential for rapid, low-cost screening.
www.nature.com/articles/s41...
November 26, 2024 at 8:56 PM
Heading to Vancouver to spend two days thinking together with the amazing ResNet team (www.nsercresnet.ca). Their systems-thinking approach to natural resource management is so exciting. They are both humble & holistic and they take human dimensions as seriously as tech & tooling. So rare & so good!
NSERC ResNet
NSERC ResNet is a network for monitoring, modelling, and managing Canadian ecosystem services for sustainability and resilience.
www.nsercresnet.ca
October 3, 2024 at 8:38 PM
Heading to Vancouver to spend two days thinking together with the amazing ResNet team (www.nsercresnet.ca). Their systems-thinking approach to natural resource management is so exciting. They are both humble & holistic and they take human dimensions as seriously as tech & tooling. So rare & so good!
need to try more drugs before i can once and for all settle the question of how much qualia a resnet can have
May 31, 2025 at 3:53 AM
need to try more drugs before i can once and for all settle the question of how much qualia a resnet can have
Looking to boost your skills or earn certifications? 💼 We offer BPI & RESNET certification training, plus continuing education for BPI, RESNET, NATE, NRPP, IICRC, ASHI, Home Inspectors, and more! 📚 Start your journey today. #Certification #ContinuingEducation #GreenTrainingUSA
December 2, 2024 at 5:49 PM
Looking to boost your skills or earn certifications? 💼 We offer BPI & RESNET certification training, plus continuing education for BPI, RESNET, NATE, NRPP, IICRC, ASHI, Home Inspectors, and more! 📚 Start your journey today. #Certification #ContinuingEducation #GreenTrainingUSA
ResNet was a major milestone in deep learning by (re-)introducing skip connections, where networks try to learn residual mappings instead of identity. This allows very deep models, and is used in most modern architectures, including Transformers. https://arxiv.org/abs/1512.03385
February 26, 2025 at 6:00 AM
ResNet was a major milestone in deep learning by (re-)introducing skip connections, where networks try to learn residual mappings instead of identity. This allows very deep models, and is used in most modern architectures, including Transformers. https://arxiv.org/abs/1512.03385
@raiders hey guys can everyone make sure you have updated your weakauras before we pull resnet tonight thx
even the metrics work on MMO basis (there's an entire meta for metrics)
August 8, 2025 at 10:11 PM
@raiders hey guys can everyone make sure you have updated your weakauras before we pull resnet tonight thx
ResNet has received the Longuet-Higgins Prize at CVPR 2026, recognizing research with proven, lasting impact. A decade after its publication, residual connections remain foundational to how modern AI systems are built, with over 320,000 citations and growing. msft.it/6017vl6bl
June 17, 2026 at 6:00 PM
ResNet has received the Longuet-Higgins Prize at CVPR 2026, recognizing research with proven, lasting impact. A decade after its publication, residual connections remain foundational to how modern AI systems are built, with over 320,000 citations and growing. msft.it/6017vl6bl
not me wondering why you were talking about
Home Page - RESNET
www.resnet.us
October 5, 2025 at 8:21 AM
not me wondering why you were talking about
As someone who works with a lot of AI/ML modeling, I get upset over the lack of pedantry when people make broad-stroked arguments against AI. I hate genAI and how its being used, but things like ResNet or XGBoost run on super lightweight compute and have been used for good. However, i’ve had several
July 25, 2026 at 11:31 PM
As someone who works with a lot of AI/ML modeling, I get upset over the lack of pedantry when people make broad-stroked arguments against AI. I hate genAI and how its being used, but things like ResNet or XGBoost run on super lightweight compute and have been used for good. However, i’ve had several
Master diabetic retinopathy detection! Optimize your model using CLAHE preprocessing, Test-Time Augmentation (TTA), and powerful ensembles like ResNet + EfficientNet to boost diagnostic accuracy. #DeepLearning #MedTech #Python #ComputerVision #AI https://ai.dappcrypto.org/r/m
July 1, 2026 at 1:52 PM
Master diabetic retinopathy detection! Optimize your model using CLAHE preprocessing, Test-Time Augmentation (TTA), and powerful ensembles like ResNet + EfficientNet to boost diagnostic accuracy. #DeepLearning #MedTech #Python #ComputerVision #AI https://ai.dappcrypto.org/r/m