Abstract: Vector-Quantization (VQ) based discrete generative models are widely used to learn powerful high-quality (HQ) priors for blind image restoration (BIR). In this paper, we diagnose the ...
Abstract: This work studies black-box adversarial attacks against deep neural networks, where the attacker only has access to the query feedback from the target model. The current state-of-the-art ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
2014_IEEE Multimedia_PRVQ_Projected residual vector quantization for ANN search. [IEEE] 2015_arXiv_IRVQ_Improved Residual Vector Quantization for High-dimensional Approximate Nearest Neighbor Search. ...
An unofficial PyTorch implementation of "Autoregressive Speech Synthesis without Vector Quantization" paper. This repository provides a complete pipeline for training and inference of the MELLE model.
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