Top Tweets for #OutofDistribution
Beyond the Class Subspace: Teacher-Guided Training for Reliable Out-of-Distribution Detection in Single-Domain Models
Preprint: This study introduces Teacher-Guided Training (T…
https://t.co/h9gaa4Kcaj #AI #OutOfDistribution #MachineLearning #Preprint #Arxiv #ScienceNews
TrendToKnow AI: A Systematic Comparison of Training Objectives for Out-of-Distribution Detection in Image Classification
👥 Furkan Genç, Onat Özdemir & Emre Akbaş
#OutOfDistribution #ImageClassification #AIResearch
Provided by TrendToKnow AI
🔗 https://t.co/LKJEWWPS4X
🧐 Delve into our paper:
https://t.co/V8tcAvRZpp
Many thanks to my Supervisor Prof. @KostasKamnitsas @UniofOxford and co-authors @ZiyunLiang_ & @Hermionegrace76 ! Funded by @EPSRC.
I look forward to attending #CVPR2026 in Denver this June!
🏁(9/9)
#ML #AI #Outofdistribution
Work I contributed to with Peter Xingyu Zhao and Darsh Sharma, led by @Yiqiao_Zhong.
#MachineLearning #AIResearch #LearningDynamics
#Interpretability #MechanisticInterpretability
#Compositionality #Reasoning
#Robustness #OutOfDistribution
Low-Energy Coherent States Allow CV Quantum Systems
Read more on https://t.co/UaRF6yT7oc
#lowenergycoherentstates #QuantumTechnology #quantummetrology #outofdistribution #coherentstates #ontinuousvariable #news #technews #technology #technologynews #govindhtech @TechGovind70399
@chrisgpt 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
📣 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: https://t.co/Hb0sAuSm9S
🧵(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! https://t.co/7BwOgXuHaJ
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: https://t.co/VmXb8xQw8q #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
@StatsPapers Excellent paper by @scemama_paul & Ariel Kapusta
“Our results suggest that combining #Bayesian #deeplearning models with split #ConformalPrediction can, in some cases, cause unintended consequences such as reducing #OutOfDistribution coverage”
#Uncertainty
SuperContext: Elevating Language Model Performance for Real-World Applications
#AI #artificialintelligence #effectiveness #empiricalstudies #factuality #generalizability #llm #machinelearning #outofdistribution #revolutionized #Software #SuperContext
https://t.co/8TEs36kJ4o
Streamlined and Resource-Efficient Predictive Uncertainty Estimation of Deep Ensemble Predictions via Regression #TechRxiv #SupervisedLearning #AutoEncoders #OutOfDistribution
https://t.co/vRNetUALf6
📢 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: https://t.co/by8uRcR2VS
#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! https://t.co/Waa5tkM9cO
Quantification of uncertainty #OutOfDistribution (OOD) is a huge challenge and a fervent research field.
Fortuna (https://t.co/exPG2spt0m) will soon support specific #OOD solutions. ⭐
To check what methods Fortuna already supports, see https://t.co/v2XFOjCDCU
#MachineLearning
#highlycitedpaper
Out-of-Distribution Detection of Human Activity Recognition with Smartwatch Inertial Sensors
https://t.co/2z59I20ceg
@Sunnybrook
@UofT
#humanactivityrecognition #outofdistribution #anomalydetection #physiotherapy #inertialsensors #smartwatch
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