Lmst

When Dimensionality Hurts: The Role of #LLM Embedding Compression for Noisy Regression Tasks https://d.repec.org/n?u=RePEc:arx:papers:2502.02199&r=&r=cmp
"… suggest that the optimal dimensionality is dependent on the signal-to-noise ratio, exposing the necessity of feature compression in high noise environments. The implication of the result is that researchers should consider the #noise of a task when making decisions about the dimensionality of text.

… findings indicate that sentiment and emotion-based representations do not provide inherent advantages over learned latent features, implying that their previous success in similar tasks may be attributed to #regularisation effects rather than intrinsic informativeness."
#ML #autoencoders #Overfitting

I just added some extra chapters on #ANN. Since we are using #autoencoders, I thought it could be useful to provide some general introduction on #NeuralNetworks and how they can be tuned.

'Manifold Learning by Mixture Models of VAEs for Inverse Problems', by Giovanni S. Alberti, Johannes Hertrich, Matteo Santacesaria, Silvia Sciutto.

http://jmlr.org/papers/v25/23-0396.html

#autoencoders #manifold #manifolds

'The Power of Contrast for Feature Learning: A Theoretical Analysis', by Wenlong Ji, Zhun Deng, Ryumei Nakada, James Zou, Linjun Zhang.

http://jmlr.org/papers/v24/21-1501.html

#autoencoders #supervised #generative

'Be More Active! Understanding the Differences Between Mean and Sampled Representations of Variational Autoencoders', by Lisa Bonheme, Marek Grzes.

http://jmlr.org/papers/v24/21-1145.html

#autoencoders #disentangled #representations

New preprint from our group ! 🧠 💻

*Whole-brain modelling of low-dimensional manifold modes reveals organising principle of brain dynamics*
https://www.biorxiv.org/content/10.1101/2023.11.20.567824v1

#brain #modeling #autoEncoders #variationalAutoEncoder #restingStateNetworks #manifold

real-time #anomaly detection
#python #algorithm
#autoencoders #machinelarning TensorFlow User Group (TFUG) Keras scikit-learn #neuralnetwork
#NAB #dataset ambient #temperature from a system that experienced a failure.
#risk #monitoring #maintenance

http://newdigitals.org/2023/10/23/real-time-anomaly-detection-of-nab-ambient-temperature-readings-using-the-tensorflow-keras-autoencoder/

'Lifted Bregman Training of Neural Networks', by Xiaoyu Wang, Martin Benning.

http://jmlr.org/papers/v24/22-0934.html

#autoencoders #classifiers #denoising

Conditional Sampling of Variational Autoencoders via Iterated Approximate Ancestral Sampling

https://openreview.net/forum?id=I5sJ6PU6JN

#autoencoders #sampling #sampler

A simple, efficient and scalable contrastive masked autoencoder for learning visual representations

https://openreview.net/forum?id=pjdxPts6er

#autoencoders #autoencoder #imagenet

Variational Classification

https://openreview.net/forum?id=EWv9XGOpB3

#softmax #adversarial #autoencoders

"What will happen to GPT-{n} once LLMs contribute much of the language found online? We find that use of model-generated content in training causes irreversible defects in the resulting models, where tails of the original content distribution disappear. ... We demonstrate that it has to be taken seriously if we are to sustain the benefits of training from large-scale data scraped from the web."

#LLM #GPT #ChatGPT #AutoEncoders #MachineLearning #ComputerScience #Research

https://arxiv.org/abs/2305.17493v2

The Robustness Limits of SoTA Vision Models to Natural Variation

Mark Ibrahim, Quentin Garrido, Ari S. Morcos, Diane Bouchacourt

Action editor: Dumitru Erhan.

https://openreview.net/forum?id=QhHLwn3D0Y

#autoencoders #robust #vision

Mixture of Dynamical Variational Autoencoders for Multi-Source Trajectory Modeling and Separation

https://openreview.net/forum?id=sbkZKBVC31

#autoencoders #mixdvae #mixture

Isto é maravilhoso!

#autoencoders #ilustration #MiaTang

https://www.mia-tang.com/blog/ml-models

Conditional deep generative models as surrogates for spatial field solution reconstruction with quantified uncertainty in Structural Health Monitoring applications

#CVAE #autoencoders

https://arxiv.org/abs/2302.08329