Conditional Sampling of Variational Autoencoders via Iterated Approximate Ancestral Sampling
#autoencoders #sampling #sampler
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations
#autoencoders #autoencoder #ImageNet
Variational Classification
#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
#Research #computerscience #MachineLearning #autoencoders #chatgpt #gpt #LLM
The Robustness Limits of SoTA Vision Models to Natural Variation
Mark Ibrahim, Quentin Garrido, Ari S. Morcos, Diane Bouchacourt
Action editor: Dumitru Erhan.
Mixture of Dynamical Variational Autoencoders for Multi-Source Trajectory Modeling and Separation
#autoencoders #mixdvae #mixture
Integrating Bayesian Network Structure into Residual Flows and Variational Autoencoders
Jacobie Mouton, Rodney Stephen Kroon
#autoencoders #generative #flow
The Robustness Limits of SoTA Vision Models to Natural Variation
'Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal data', by Shaowu Pan, Steven L. Brunton, J. Nathan Kutz.
http://jmlr.org/papers/v24/22-0365.html
#shapenet #autoencoders #flow
Sparse Coding with Multi-layer Decoders using Variance Regularization
Katrina Evtimova, Yann LeCun
#autoencoders #sparse #sparser
Improving the Trainability of Deep Neural Networks through Layerwise Batch-Entropy Regularization
David Peer, Bart Keulen, Sebastian Stabinger, Justus Piater, Antonio Rodriguez-sanchez
Integrating Bayesian Network Structure into Normalizing Flows and Variational Autoencoders
#autoencoders #generative #flow
'Cauchy–Schwarz Regularized Autoencoder', by Linh Tran, Maja Pantic, Marc Peter Deisenroth.
http://jmlr.org/papers/v23/21-0681.html
#autoencoders #autoencoder #generative
#autoencoders #autoencoder #generative
#DZone #AIZone "6 Important Types of Neural Networks" #AI #MachineLearning #FeedForward #convolutionnal #recurrent #transformers #GenerativeAdversial #AutoEncoders ... https://dzone.com/articles/six-types-of-neural-networks-you-need-to-know-abou
#dzone #aizone #ai #machinelearning #FeedForward #convolutionnal #recurrent #transformers #GenerativeAdversial #autoencoders
#DZone #AIZone "6 Important Types of Neural Networks" #AI #MachineLearning #FeedForward #convolutionnal #recurrent #transformers #GenerativeAdversial #AutoEncoders ... https://dzone.com/articles/six-types-of-neural-networks-you-need-to-know-abou
#autoencoders #GenerativeAdversial #transformers #recurrent #convolutionnal #FeedForward #machinelearning #ai #aizone #dzone