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https://deepai.org/publication/explaining-reject-options-of-learning-vector-quantization-classifiers Explaining Reject Options of Learning Vector Quantization Classifiers | DeepAI Feb 15, 2022 - 02/15/22 - While machine learning models are usually assumed to always output a prediction, there also exist extensions in the form of reject... learning vector quantization explaining reject options classifiers https://openreview.net/forum?id=JE9tCwe3lp&referrer=%5Bthe%20profile%20of%20Ting%20Pan%5D(%2Fprofile%3Fid%3D~Ting_Pan1) Autoregressive Video Generation without Vector Quantization | OpenReview This paper presents a novel approach that enables autoregressive video generation with high efficiency. We propose to reformulate the video generation problem... video generation vector quantization autoregressive without openreview https://openreview.net/forum?id=HAymeESPKo Object-Centric Semantic Vector Quantization | OpenReview Neural discrete representations are crucial components of modern neural networks. However, their main limitation is that the primary strategies such as VQ-VAE... vector quantization object centric semantic openreview https://arxiv.org/abs/1902.00577 [1902.00577] Robustness of Generalized Learning Vector Quantization Models against Adversarial... Abstract page for arXiv paper 1902.00577: Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks learning vector quantization 1902 00577 robustness generalized https://openreview.net/forum?id=KRVnpTbx7R DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick | OpenReview Vector quantization is common in deep models, yet its hard assignments block gradients and hinder end-to-end training. We propose DiVeQ, which treats... vector quantization reparameterization trick differentiable using openreview https://openreview.net/forum?id=GMwRl2e9Y1 Restructuring Vector Quantization with the Rotation Trick | OpenReview Vector Quantized Variational AutoEncoders (VQ-VAEs) are designed to compress a continuous input to a discrete latent space and reconstruct it with minimal... vector quantization with the restructuring rotation trick