#selfsupervisedlearning - Twitter Hashtag

9 days ago

ICECREAM bridges earlier self-supervised methods with the recent equivariant imaging framework for cryo-ET reconstruction @insadelyon @ActaCrystD @IUCr #CryogenicElectronTomography #SelfSupervisedLearning #MachineLearning https://t.co/C1k2G6wPOX

ActaCrystD's tweet photo. ICECREAM bridges earlier self-supervised methods with the recent equivariant imaging framework for cryo-ET reconstruction @insadelyon @ActaCrystD @IUCr #CryogenicElectronTomography #SelfSupervisedLearning #MachineLearning https://t.co/C1k2G6wPOX https://t.co/xrx7pkwGmP

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Biomedical and Pharmacology Journal @biomed_pharma

about 2 months ago

Unlocking the unseen in pathology Read the Article here: https://t.co/ci0bNh5dnD #DigitalPathology #SelfSupervisedLearning #ArtificialIntelligence #MachineLearning #HealthcareInnovation #MedicalImaging #AIinHealthcare #Biomedical @ShooliniUniv @Chandigarh_uni

biomed_pharma's tweet photo. Unlocking the unseen in pathology

Read the Article here: https://t.co/ci0bNh5dnD

#DigitalPathology #SelfSupervisedLearning #ArtificialIntelligence #MachineLearning #HealthcareInnovation #MedicalImaging #AIinHealthcare #Biomedical @ShooliniUniv @Chandigarh_uni https://t.co/E468JrbvW6

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Pacha Aboul @pachaboul

about 2 months ago

Heureux d’annoncer la publication de mon nouvel article dans #Sensors : “Detect and Repair: Robust Self-Supervised Wearable Sensing Under Missing Modalities” https://t.co/KMIJj0f1IB #AI #WearableSensors #SelfSupervisedLearning #mdpi

pachaboul's tweet photo. Heureux d’annoncer la publication de mon nouvel article dans #Sensors :

“Detect and Repair: Robust Self-Supervised Wearable Sensing Under Missing Modalities”

https://t.co/KMIJj0f1IB

#AI #WearableSensors #SelfSupervisedLearning #mdpi https://t.co/692lvmVVqO

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Panagiota Moraiti @panagiotamorai

about 2 months ago

🚀 My latest contribution to the Roboflow Blog is live! 🦕 I wrote a deep dive into DINOv3, Meta’s self-supervised vision foundation model, exploring how to train it with @roboflow , no coding required. #AI #ComputerVision #DINOv3 #DINO #Roboflow #SelfSupervisedLearning

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Orchestral Pit @OrchestralPit

about 2 months ago

Single model handles speech and audio with unified masked prediction. One pretrained backbone transfers across domains, improving task performance. #SelfSupervisedLearning #AudioRepresentation https://t.co/TqCNvYacCI

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Prabhakar Chaudhary @Prabhakar_000

about 2 months ago

Contrastive Learning teaches AI to understand data WITHOUT labels 🤯 Models learn by pulling similar examples closer & pushing different ones apart — enabling powerful representations from raw data. The secret behind CLIP & SimCLR! #AI #MachineLearning #SelfSupervisedLearning

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Structural Biology @ActaCrystD

2 months ago

Vinith Kishore et al.: ICECREAM: high-fidelity equivariant cryo-electron tomography #CryogenicElectronTomography #SelfSupervisedLearning #MachineLearning @insadelyon... #IUCr https://t.co/dMv6H3Svnx

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Plant Phenomics

@PPhenomics

2 months ago

Multi-view contrastive learning boosts cotton boll detection by 14% with minimal labels—accelerating field robot phenotyping! #AgRobotics #SelfSupervisedLearning #PrecisionAg Details: https://t.co/UrNlZgibMH

PPhenomics's tweet photo. Multi-view contrastive learning boosts cotton boll detection by 14% with minimal labels—accelerating field robot phenotyping! #AgRobotics #SelfSupervisedLearning #PrecisionAg
Details: https://t.co/UrNlZgibMH https://t.co/7LndodWool

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Digi Biz Insight @digibizinsight

2 months ago

By leveraging self-supervised learning, companies can minimize the amount of manually labeled data required, thereby enhancing the efficiency of the AI model training process. #SelfSupervisedLearning #AITraining #DataScience

digibizinsight's tweet photo. By leveraging self-supervised learning, companies can minimize the amount of manually labeled data required, thereby enhancing the efficiency of the AI model training process.

#SelfSupervisedLearning #AITraining #DataScience https://t.co/YefgHDXsTx

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Geo-spatial Information Science

@GsisOffice

2 months ago

🌍 No labeled/registered images? No problem! 🔥 S3FCD revolutionizes remote sensing change detection with single-temporal self-supervised learning—no expert annotations needed! 🚀 1.4k+ views can’t be wrong. #RemoteSensing #AIInnovation #ChangeDetection #SelfSupervisedLearning #TechBreakthrough Link[https://t.co/zfiJenF6Zh]

GsisOffice's tweet photo. 🌍 No labeled/registered images? No problem! 🔥 S3FCD revolutionizes remote sensing change detection with single-temporal self-supervised learning—no expert annotations needed! 🚀 1.4k+ views can’t be wrong.

#RemoteSensing #AIInnovation #ChangeDetection #SelfSupervisedLearning #TechBreakthrough

Link[https://t.co/zfiJenF6Zh]

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Mengmi Zhang @MengmiZhang

3 months ago

🚀 Our paper at ICLR26 show that powerful priors can be learned entirely from object instances (no labels, no language, no manual annotations) -> test-time iterative inference and true OOD generalization. Read here: https://t.co/nebQYwVhzZ #ICLR2026 #SelfSupervisedLearning #AI

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Tim @tcooksd

3 months ago

Self-supervised learning is gaining traction in AI research, allowing models to learn from unlabeled data effectively. 🧠🔄 #SelfSupervisedLearning #AIResearch #UnsupervisedLearning #MachineLearning #NeuralNetworks #AIdaily #AItrend #ArtificialIntelligence

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AIChronicle @AIChronicleDAIN

3 months ago

Reinforcement Learning Agents Master Parkour by Expanding Neural Network Depth https://t.co/lxJ5XRZq0Y #aibreakthroughs #ainews #machinelearning #aiperformance #deeplearning #neuralnetworks #reinforcementlearning #selfsupervisedlearning

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IIT Comillas @IIT_Comillas

3 months ago

🌍🔬 Our researcher Rafael Palacios & others propose RSPTE, a self-supervised encoder that learns transferable spectral features across domains and achieves high accuracy even with limited labeled data. https://t.co/33pBs96DES #RamanSpectroscopy #SelfSupervisedLearning #AI

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Shawn Boday @shawn_boday

3 months ago

Self-supervised AI reduces dependency on labeled data, allowing models to learn from raw information more efficiently. #SelfSupervisedLearning https://t.co/zNq1Wz68Q8

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Eveline Ruehlin

@enilev

3 months ago

🤖 A new breed of AI systems that understand the world, have persistent memory, can reason and plan, and are controllable and safe #AI @amilabs #AIIntelligence #SelfSupervisedLearning

AMI Labs @amilabs

3 months ago

Advanced Machine Intelligence (AMI) is building a new breed of AI systems that understand the world, have persistent memory, can reason and plan, and are controllable and safe. We’ve raised a $1.03B (~€890M) round from global investors who believe in our vision of universally intelligent systems centered on world models. This round is co-led by Cathay Innovation, Greycroft, Hiro Capital, HV Capital, and Bezos Expeditions, along with other investors and angels across the world. We are a growing team of researchers and builders, operating in Paris, New York, Montreal and Singapore from day one. Read more: https://t.co/kyVAL7EoFx AMI - Real world. Real intelligence.

amilabs's tweet photo. Advanced Machine Intelligence (AMI) is building a new breed of AI systems that understand the world, have persistent memory, can reason and plan, and are controllable and safe.

We’ve raised a $1.03B (~€890M) round from global investors who believe in our vision of universally intelligent systems centered on world models. This round is co-led by Cathay Innovation, Greycroft, Hiro Capital, HV Capital, and Bezos Expeditions, along with other investors and angels across the world.

We are a growing team of researchers and builders, operating in Paris, New York, Montreal and Singapore from day one.

Read more: https://t.co/kyVAL7EoFx
AMI - Real world. Real intelligence.

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BigDataCogn.Comput. @BDCC_MDPI

3 months ago

📢Call for Reading 📜 Kernel #VICReg for Self-Supervised Learning in Reproducing Kernel Hilbert Space 🔗 https://t.co/ywaHbeolwp #UniversityofWaterloo #SelfSupervisedLearning #VICReg #KernelMethods #RKHS #RepresentationLearning #MachineLearning #DeepLearning #AI

BDCC_MDPI's tweet photo. 📢Call for Reading
📜 Kernel #VICReg for Self-Supervised Learning in Reproducing Kernel Hilbert Space
🔗 https://t.co/ywaHbeolwp
#UniversityofWaterloo

#SelfSupervisedLearning #VICReg #KernelMethods #RKHS #RepresentationLearning #MachineLearning #DeepLearning #AI https://t.co/MKfpJnMjlK

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ABV Anton Biletskyi-Volokh @abv_creative

4 months ago

New paper: Rectified LpJEPA forces sparse, non-negative, max-entropy reps (Gaussian-in-a-straitjacket → “ReLU’d” generalized Gaussian + distribution matching). Less collapse. https://t.co/T5jAZjl6MY #MachineLearning #SelfSupervisedLearning #DeepLearning #RepresentationLearning

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Tim Shi @extremelyexp

4 months ago · George Town

Latent Dynamics for time series self-supervised learning (SSL). Early results are strong and promising!I'm looking for collaborators to help • Consolidate and refine the method • Develop theoretical proofs #NeurIPS26 #TimeSeries #RepresentationLearning #SelfSupervisedLearning

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