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Found 5 papers, 1 papers with code
Inter-View Depth Consistency Testing in Depth Difference Subspace
Furthermore, we propose a view synthesis algorithm that uses the obtained consistency information to improve the visual quality of virtual views at arbitrary viewpoints.
Conditional Mutual information-based Contrastive Loss for Financial Time Series Forecasting
One challenge of using deep learning models for finance forecasting is the shortage of available training data when using small datasets.
Quantization-Based Regularization for Autoencoders
We show that our proposed regularization method results in improved latent representations for both supervised learning and clustering downstream tasks when compared to autoencoders using other bottleneck structures.
Variational Information Bottleneck on Vector Quantized Autoencoders
In this paper, we provide an information-theoretic interpretation of the Vector Quantized-Variational Autoencoder (VQ-VAE).
Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval
State-of-the-art retrieval results are achieved by the learned codebooks.
