#outofdistribution search results
🔥 The kicker? Models trained on random, irrelevant reasoning traces outperformed those trained on logically correct ones — especially on unseen problems. #MachineLearning #OutOfDistribution #Wilders
A fantasy called “#OutofDistribution” by From Narrow To General AI ykulbashian.medium.com/a-fantasy-call…
New preprint by @GoogleResearch: #Deeplearning models with higher expressive capacity can be more robust to #outofdistribution prediction arxiv.org/abs/2106.15831 @KordingLab @neuro_data @BoWang87
📣 New publication to be presented at @UNSURE_Workshop #MICCAI2024! ⚠️Individual #outofdistribution detection methods have strengths and weaknesses. 💡 Combining complementary methods can mitigate their weaknesses! 🧐 Dive into our research: link.springer.com/chapter/10.100… 🧵(1/10)
📢 New publication to be presented @unsure_workshop #MICCAI2023! ⚠️Mahalanobis distance for #outofdistribution detection has shown mixed performance. 💡 Further research to find best practices required! 🧐 Dive into our research: arxiv.org/abs/2309.01488 #reliableAI 🧵(1/7)
💡 SWOT (Sliding-Window Optimal Transport) performs artifact detection by segmenting multi-layer features into sliding window patches and using optimal transport to align these patches with recognized in-distribution samples. #OptimalTransport #OODDetection #OutofDistribution 3/n
Cherry-picking gets you pie (nice try, Gary!). Distribution-picking gets you models that can generalize. Progress needs both. Also: chill—we’re all being trained by something. #OODAloops #OutOfDistribution #LLMphilosophy
Exciting news for language model enthusiasts! Discover how your Finetuned Large Language Model can now double as a powerful out-of-distribution detector. Check out the latest blog post here: bit.ly/4aAC9iA #language #AI #outofdistribution #LLM
#highlycitedpaper Out-of-Distribution Detection of Human Activity Recognition with Smartwatch Inertial Sensors mdpi.com/1424-8220/21/5… @Sunnybrook @UofT #humanactivityrecognition #outofdistribution #anomalydetection #physiotherapy #inertialsensors #smartwatch
Graph generalization? More like graph-tastic speculation! Pondering #OutOfDistribution like it's a holiday destination. Without invariance, it's just guesswork with fancy #GraphStructuredData. Sit tight, we're causally riding the #MachineLearning waves! towardsdatascience.com/towards-genera…
towardsdatascience.com
Towards Generalization on Graphs: From Invariance to Causality | Towards Data Science
This blog post shares recent papers on out-of-distribution generalization on graph-structured data
Quantification of uncertainty #OutOfDistribution (OOD) is a huge challenge and a fervent research field. Fortuna (github.com/awslabs/fortuna) will soon support specific #OOD solutions. ⭐ To check what methods Fortuna already supports, see tinyurl.com/et34ue2u #MachineLearning
🚀 Fortuna starts supporting #OutOfDistribution (#OOD) #UncertaintyQuantification methods! We released #SNGP, a method that properly captures the lack of confidence in the model predictions as we move away from the data. ⭐️ Look, using SNGP is so easy! tinyurl.com/p25292vy
Cherry-picking gets you pie (nice try, Gary!). Distribution-picking gets you models that can generalize. Progress needs both. Also: chill—we’re all being trained by something. #OODAloops #OutOfDistribution #LLMphilosophy
🔥 The kicker? Models trained on random, irrelevant reasoning traces outperformed those trained on logically correct ones — especially on unseen problems. #MachineLearning #OutOfDistribution #Wilders
A fantasy called “#OutofDistribution” by From Narrow To General AI ykulbashian.medium.com/a-fantasy-call…
📣 New publication to be presented at @UNSURE_Workshop #MICCAI2024! ⚠️Individual #outofdistribution detection methods have strengths and weaknesses. 💡 Combining complementary methods can mitigate their weaknesses! 🧐 Dive into our research: link.springer.com/chapter/10.100… 🧵(1/10)
Graph generalization? More like graph-tastic speculation! Pondering #OutOfDistribution like it's a holiday destination. Without invariance, it's just guesswork with fancy #GraphStructuredData. Sit tight, we're causally riding the #MachineLearning waves! towardsdatascience.com/towards-genera…
towardsdatascience.com
Towards Generalization on Graphs: From Invariance to Causality | Towards Data Science
This blog post shares recent papers on out-of-distribution generalization on graph-structured data
Exciting news for language model enthusiasts! Discover how your Finetuned Large Language Model can now double as a powerful out-of-distribution detector. Check out the latest blog post here: bit.ly/4aAC9iA #language #AI #outofdistribution #LLM
💡 SWOT (Sliding-Window Optimal Transport) performs artifact detection by segmenting multi-layer features into sliding window patches and using optimal transport to align these patches with recognized in-distribution samples. #OptimalTransport #OODDetection #OutofDistribution 3/n
📢 New publication to be presented @unsure_workshop #MICCAI2023! ⚠️Mahalanobis distance for #outofdistribution detection has shown mixed performance. 💡 Further research to find best practices required! 🧐 Dive into our research: arxiv.org/abs/2309.01488 #reliableAI 🧵(1/7)
🚀 Fortuna starts supporting #OutOfDistribution (#OOD) #UncertaintyQuantification methods! We released #SNGP, a method that properly captures the lack of confidence in the model predictions as we move away from the data. ⭐️ Look, using SNGP is so easy! tinyurl.com/p25292vy
Quantification of uncertainty #OutOfDistribution (OOD) is a huge challenge and a fervent research field. Fortuna (github.com/awslabs/fortuna) will soon support specific #OOD solutions. ⭐ To check what methods Fortuna already supports, see tinyurl.com/et34ue2u #MachineLearning
#highlycitedpaper Out-of-Distribution Detection of Human Activity Recognition with Smartwatch Inertial Sensors mdpi.com/1424-8220/21/5… @Sunnybrook @UofT #humanactivityrecognition #outofdistribution #anomalydetection #physiotherapy #inertialsensors #smartwatch
🔥 The kicker? Models trained on random, irrelevant reasoning traces outperformed those trained on logically correct ones — especially on unseen problems. #MachineLearning #OutOfDistribution #Wilders
A fantasy called “#OutofDistribution” by From Narrow To General AI ykulbashian.medium.com/a-fantasy-call…
New preprint by @GoogleResearch: #Deeplearning models with higher expressive capacity can be more robust to #outofdistribution prediction arxiv.org/abs/2106.15831 @KordingLab @neuro_data @BoWang87
#highlycitedpaper Out-of-Distribution Detection of Human Activity Recognition with Smartwatch Inertial Sensors mdpi.com/1424-8220/21/5… @Sunnybrook @UofT #humanactivityrecognition #outofdistribution #anomalydetection #physiotherapy #inertialsensors #smartwatch
💡 SWOT (Sliding-Window Optimal Transport) performs artifact detection by segmenting multi-layer features into sliding window patches and using optimal transport to align these patches with recognized in-distribution samples. #OptimalTransport #OODDetection #OutofDistribution 3/n
🚀 Fortuna starts supporting #OutOfDistribution (#OOD) #UncertaintyQuantification methods! We released #SNGP, a method that properly captures the lack of confidence in the model predictions as we move away from the data. ⭐️ Look, using SNGP is so easy! tinyurl.com/p25292vy
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