#Transferlearning
Congratulations to @findycang.bsky.social from @jhubiostat.bsky.social who did an amazing job presenting her work at #biodata24 tonight! Preprint coming soon. ☺️

#ProudPI #stats #spatial #omics #transferlearning 🧪🧬🖥️🧠📈
November 15, 2024 at 4:07 AM
MOTL is finally out in Genome Biology! Work led by David Hirst and @anaisbaudot.bsky.social

If you are interested in multi-omics matrix factorization when few samples are available (e.g. rare diseases), have a look at it!

#multiomics #machinelearning #transferlearning
Excited to share David Hirst's PhD work!
🧬 When you only have a few datasets available for multi-omics integration, for instance because you work on rare diseases, one solution is Transfer Learning. Introducing #MOTL - now available in Genome Biology!

doi.org/10.1186/s130...
MOTL: enhancing multi-omics matrix factorization with transfer learning - Genome Biology
Joint matrix factorization is popular for extracting lower dimensional representations of multi-omics data but loses effectiveness with limited samples. Addressing this limitation, we introduce MOTL (...
link.springer.com
July 26, 2025 at 10:55 AM
【🎉Latest accepted article】
Field estimation of leaf water potential in poplar trees using UAV-based hyperspectral imagery and #DeepLearning

#Cross_scaleModeling | #ForestDroughtMonitoring | #HyperspectralRemoteSensing | #TransferLearning

@mapjournals.bsky.social

doi.org/10.1093/jpe/...
July 2, 2026 at 2:14 PM
Transfer learning with PyTorch: A frozen ResNet18 trained on 30 images reached 97.78% accuracy, while training from scratch only hit 33.33%. Normalizing input images is crucial for the model to perform accurately. #TransferLearning #PyTorch #MachineLearning
Transfer Learning in PyTorch Using a Pretrained ResNet Model
Training 1,539 parameters beat training 11.2 million, on the same data, in less time. This walkthrough shows exactly how transfer learning achieves that in PyTorch, with both experiments run side by side and every number measured rather than claimed.
kodekloud.com
September 23, 2026 at 4:39 AM
Here comes the dream-reader from just #EEG:
"Interpreting human sleep activity through neural contrastive learning"
www.cell.com/neuron/fullt...
#Deeplearning #transferlearning #brain
September 3, 2026 at 11:22 AM
📣 Meet Mamadou Aliou DIALLO at #JOBIM2026 poster session B!

ℹ️ He’s presenting his #poster (84) on “Delineation of integrative conjugative elements in bacterial genomes: Leveraging pangenome and machine learning approaches”

#mobilegeneticelements #pangenome #transferlearning #genomeannotation
July 2, 2026 at 7:04 AM
catch Transferlearning waves!
December 12, 2024 at 7:15 AM
Researchers propose a transfer learning strategy for fault identification of deep fault-karst #carbonate. #openaccess at www.sciencedirect.com/science/arti.... #Seismicfault #Transferlearning #ArtificialIntelligence
June 8, 2025 at 3:23 PM
#ThrowbackThursday – Access to model details and weights allowed #TransferLearning of a deep learning system for screening mammography (Jun 2024) https://doi.org/10.1148/ryai.230383 #AI #DeepLearning #ArtificialIntelligence
August 6, 2026 at 2:16 PM
Deep reinforcement and transfer learning for autonomous robots, how does it work? 🤔

Find out more: t.co/x42FlhLm8e

🤖 Get your Duckiebot and Duckiedrone - t.co/p6XbHk78wr

#Robotics #AI #DeepReinforcementLearning #TransferLearning #Sim2Real t.co/kKW3qLURNX
March 14, 2025 at 1:43 PM
Recent article!

Time series predictions in unmonitored sites: a survey of #MachineLearning techniques in #water #resources

doi.org/10.1017/eds....

Jared D. Willard and colleagues @berkeleylab.lbl.gov, University of Pittsburgh & University of Minnesota Twin Cities

#DeepLearning #TransferLearning
February 5, 2025 at 2:35 PM
Pretrained models are like mentors.
You learn faster when someone smarter shows you the way first.

#DeepLearning #TransferLearning
July 25, 2025 at 3:33 PM
1/3 🌍 Soil spectroscopy meets transfer learning! Global spectral libraries (SSLs) offer insights but lack local precision. Transferring knowledge enhances predictions. Must think globally but fit locally! 🌈📊🌱 #SoilScience #MachineLearning #TransferLearning #SLSL. 🔗 Read more: tinyurl.com/mrva8vt2
November 23, 2024 at 8:43 AM
Let's say trying to build a RAG using a Danish language documents, but most of the models I use are in English. Is there a way to build upon existing models, and create better embeddings.

Would general fine tuning of my model be enough?

#RAG #MachineLearning #TransferLearning #Embedding #LocalLLM
January 22, 2025 at 2:06 PM
#IROS2025 reviews are coming up! Please let me know if you're interested in reviewing.

Thorough and constructive reviews are a backbone for scientific progress, please reach out!

#robotics #robotlearning #reinforcementlearning #transferlearning #imitationlearning
March 13, 2025 at 10:34 AM
Palavras iniciais | Aprendizado por transferência em Angular | Aula 3

#udemy #transferlearning #javascript #artificialintelligence

www.youtube.com/watch?v=gEp5...
Palavras iniciais | Aprendizado por transferência em Angular | Aula 3
YouTube video by Jorge Guerra Pires, Ph.D.
www.youtube.com
January 5, 2026 at 5:37 PM
Making transfer learning accessable | Transfer Learning in Angular | lecture 9

#tensorflow
#transferlearning
#javascript

www.youtube.com/watch?v=DlL0...
Making transfer learning accessable | Transfer Learning in Angular | lecture 9
YouTube video by Jorge Guerra Pires, Ph.D.
www.youtube.com
January 9, 2026 at 5:52 PM
Weed vs Crop: Optimized Deep Transfer Learning Model Transforms Automated Farming in 2025 – GLCND.IO

https://glcnd.io/optimized-deep-transfer-learning-model-for-automated-weed-and-crop-recognition/
#DeepLearning #TransferLearning #AgriTech #WeedDetection #SmartFarming #AIinAgriculture #GLCNDIO
September 9, 2025 at 5:07 PM
Nicht jedes KI-Modell passt zu jedem Problem. Oder doch?

Warum Modellauswahl wichtiger ist als Training – und wie Transfer Learning und Learning-to-Rank helfen.

DOAG VOICES FutureAI – mit Dave König & Dr. Melanie B. Sigl 🎙️ www.doag.org/de/home/news...

#AI #MachineLearning #TransferLearning
January 27, 2026 at 8:13 AM
I2C-UHU-PEGASUS at FungiCLEF 2025: Multimodal Pipeline for Rare Fungal Species Classification Using Fine-Tuned VLMs and Ecological Context

#FungiCLEF
#FungalSpecies
#VLMs
#Few-shotlearning
#Fungalclassification
#Rarespecies
#MultimodalAI
#DeepLearning
#TransferLearning

ceur-ws.org/Vol-4038/pap...
ceur-ws.org
September 26, 2025 at 6:53 PM