#transferlearning

Natural Gas Industry B updatesngibjournal
2025-06-08

Researchers propose a transfer learning strategy for fault identification of deep fault-karst . at sciencedirect.com/science/arti.

2025-03-20

Stop words?
#transgender
#transportation
#transrights
#transplantation
#translation
#transformation
#transphobia
#transferlearning
#transit
#transjoy
#translation
...
Going to be hard to remove as #Latin is everywhere in western languages 😜 ... don't want to throw yourself under a #transferbus with #wokish #redpill #cancelculture ?!

Just stay friendly and be nice to people who never harmed you - and are obviously not planning to. 🤗

2025-03-10

How to classify Malaria Cells using Convolutional neural network

You can find link for the code in the blog : eranfeit.net/how-to-classify-m

Check out our tutorial here : youtu.be/WlPuW3GGpQo&list=UULF

Enjoy
Eran

rexirexi
2024-12-12

phys.org/news/2024-12-ai-world

(wishing this were hallucination..)

Key findings

Using -based , the researchers analyzed data from 10 different to predict temperature increases and found:

‣ 34 regions are likely to exceed 1.5°C of warming by 2040.

‣ 31 of these 34 regions are expected to reach 2°C of warming by 2040.

‣ 26 of these 34 regions are projected to surpass 3°C of warming by 2060.

Barnes*, Diffenbaugh and Seneviratne
DOI10.1088/1748-9326/ad91ca

Judith van Stegerenjd7h@fosstodon.org
2024-12-06

This is such a cool dataset: 22 different robots demonstrating 527 skills through a collaboration between 21 research institutions.

And the GIFs of all these different robots applying basic motor skills are adorable.

robotics-transformer-x.github.

#transferlearning #datasets #research #transformers #ml #ai

2024-11-12

📽️ In our latest video tutorial, we will create a dog breed recognition model using the NasLarge pre-trained model 🚀 and a massive dataset featuring over 10,000 images of 120 unique dog breeds 📸.

Check out our tutorial here : youtu.be/vH1UVKwIhLo&list=UULF

You can find link for the code in the blog : eranfeit.net/120-dog-breeds-mo

Enjoy
Eran

Subraum Transmissionen [h3rb]h3rb@mastodontech.de
2024-11-06

Künstliche Intelligenz (KI) wird heute als eine der wichtigsten Technologien betrachtet, ähnlich bedeutend wie die Dampfmaschine damals. Professor Holger Hanselka empfiehlt, auf kleine, effiziente KI-Anwendungen zu setzen.
#kunstlicheintelligenz #mittelstand #ki #ai #transferlearning

subraum-transmissionen.de/kuen

Tiago F. R. Ribeirotiago_ribeiro
2024-10-31

Don’t Push the Button! Exploring Data Leakage Risks in Machine Learning and Transfer Learning.

📎 arxiv.org/pdf/2401.13796

2024-07-06

I came across a diagram illustrating transfer learning in the ML textbook I'm currently in the middle of, and it looked an awful lot like diagrams for natural transformations. I bet I'm not the first person to have noticed that, or the tenth. Any interesting papers I ought to read?

#MachineLearning #TransferLearning #CategoryTheory

2023-11-07

💡 Discover the power of transfer learning in machine learning! Learn about techniques, benefits, and overcoming challenges. 👩‍💻 Check it out: ak-codes.com/transfer-learning/

2023-11-05

Dive into this fascinating example of transfer learning and hyperparameter tuning for image classification tasks! 📸🎓 ak-codes.com/transfer-learning

2023-08-08

Proud to announce our new paper, "Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot Analogical Pruning" with Lucas Jarnac and Miguel Couceiro, accepted in #cikm2023

#knowledgeGraph #machineLearning #graphEmbedding #transferLearning #zeroShot #openScience

2023-07-31

Contrarily to the hype, #AI is contributing to increase #carbonfootprint. I wrote a short summary, and proposed few ideas (sparse #neuralnetworks, simpler #LLM models, #neuromorphic hardware, #federatedlearning, #transferlearning)
alecrimi.substack.com/p/ai-car
#ml #sustainability

Akash Mittalakashmittalblogs
2023-04-27

Imagine you are an AI system tasked with identifying different species of cats. You have been trained on thousands of images of cats, but when presented with a new image, you struggle to make a proper identification. Why? Because the image is slightly different from those in your training data, and you were never taught how to generalize from known examples.

akash.mittal.blog/2023-04-26-N

Tobias :python: :thisisfine:tsterbak@chaos.social
2023-02-15

Exciting news! I am thrilled to announce that my talk "How to baseline in NLP and where to go from there" has been accepted for @pyconde 2023.

I am happy to have the opportunity to share my insights and experience with the PyCon Berlin community, and I can't wait to connect with other NLP enthusiasts and professionals.

Looking forward to seeing you all there! #PyConBerlin2023 #NLP #Baselines #DataScience #MachineLearning #WeakLearning #TransferLearning

Talk banner: 
How to baseline in NLP and where to go from there
Tobias Sterbak
2022-12-06

Learning fast and slow 🤖🧠⏳

Highly excited that our (long-term) work on more flexible #ReinforcementLearning and #TransferLearning is finally public.

Two separate processes enable fast, coarse adaptation and slow, but better final performance.

lnkd.in/dU9fFz4t

2022-12-02

Trying to get a #TransferLearning #CNN to play nice with an already augmented image dataset. Consistently getting that horrid training/validation loss gap though. Think I'm going to have to run my own augmentation pipeline on the baseline images instead.

Yuk.

#MachineLearning #NeuralNetworks

2022-11-30

#Newpaper: Our work for #nlproc on segmenting conversational data is now out on @NeuripsConf (#ENLSP)

We find that reusing pre-trained feature hierarchy in a #transferlearning paradigm proves to be ineffective for topic segmentation tasks on chat data.

Topic Segmentation in the Wild:Towards Segmentation of Semi-structured & Unstructured Chats w. Harjeet S, Sharanya K, Dhuri S, Samyadeep B, Soundar S, #Umass #Microsoft
📝Paper: arxiv.org/abs/2211.14954

Please DM to meetup @ #NeurIPS2022 :)

2022-11-27

Want to share a milestone on a #ml #project I’ve been working on for a while on the side. I’m working on a #computervision application for #chess to detect the game state from a photo.
I used #transferlearning to fine tune a #convolutionalneuralnetwork with a new head for #regression to predict the four corners of the board.
I found synthetic datasets online (~6k images) and labeled ~1k real photos. I trained the model with a mix of random augmentations and projections with small errors.

Plot of example chess board images with 3 iterations of the corner detection each. The final version of each is a chess board at the same centered square position.

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