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https://www.mdpi.com/2072-4292/13/16/3316 Self-Attention-Based Conditional Variational Auto-Encoder Generative Adversarial Networks for... Hyperspectral classification is an important technique for remote sensing image analysis. For the current classification methods, limited training data affect... self attention auto encoder adversarial networks based conditional https://arxiv.org/abs/2401.06727v1 [2401.06727v1] Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding Abstract page for arXiv paper 2401.06727v1: Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding auto encoder 2401 deep manifold graph https://www.atlantis-press.com/journals/ijcis/125905651 Multimodal Emotion Recognition Method Based on Convolutional Auto-Encoder | Atlantis Press Emotion recognition is of great significance to computational intelligence systems. In order to improve the accuracy of emotion recognition,... emotion recognition auto encoder multimodal method based https://deepai.org/publication/bigeminal-priors-variational-auto-encoder Bigeminal Priors Variational auto-encoder | DeepAI Oct 5, 2020 - 10/05/20 - Variational auto-encoders (VAEs) are an influential and generally-used class of likelihood-based generative models in unsupervised... auto encoder bigeminal priors variational deepai https://www.easychair.org/publications/preprint/vQfn Hyper-Parameter Analysis of Deep Auto Encoder for Flow Prediction hyper parameter auto encoder analysis deep flow https://deepai.org/publication/probabilistic-auto-encoder Probabilistic Auto-Encoder | DeepAI Jun 9, 2020 - 06/09/20 - We introduce the Probabilistic Auto-Encoder (PAE), a generative model with a lower dimensional latent space that is based on an Au... auto encoder probabilistic deepai https://www.osti.gov/pages/biblio/2474863-bi-fidelity-variational-auto-encoder-uncertainty-quantification Bi-fidelity variational auto-encoder for uncertainty quantification (Journal Article) | OSTI.GOV The U.S. Department of Energy's Office of Scientific and Technical Information auto encoder https://deepai.org/publication/deep-auto-encoder-with-neural-response Deep Auto-encoder with Neural Response | DeepAI Nov 30, 2021 - 11/30/21 - Artificial intelligence and neuroscience are deeply interactive. Artificial neural networks (ANNs) have been a versatile tool to s... auto encoder deep neural response https://openreview.net/forum?id=ATUh28lnSuW Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction | OpenReview Graph neural networks (GNNs) have drawn significant research attention recently, mostly under the setting of semi-supervised learning. When task-agnostic... auto encoder graph via neighborhood wasserstein https://arxiv.org/abs/2406.16052 [2406.16052] Pivotal Auto-Encoder via Self-Normalizing ReLU Abstract page for arXiv paper 2406.16052: Pivotal Auto-Encoder via Self-Normalizing ReLU auto encoder self normalizing 2406 pivotal via https://deepai.org/publication/modeling-melodic-feature-dependency-with-modularized-variational-auto-encoder Modeling Melodic Feature Dependency with Modularized Variational Auto-Encoder | DeepAI Oct 31, 2018 - 10/31/18 - Automatic melody generation has been a long-time aspiration for both AI researchers and musicians. However, learning to generate e... auto encoder modeling melodic feature dependency https://arxiv.org/abs/2005.07623 [2005.07623] An Auto Encoder For Audio Dolphin Communication Abstract page for arXiv paper 2005.07623: An Auto Encoder For Audio Dolphin Communication auto encoder for audio 2005 07623 dolphin https://aclanthology.org/D18-1075/ An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue... Liangchen Luo, Jingjing Xu, Junyang Lin, Qi Zeng, Xu Sun. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. 2018. https://openreview.net/forum?id=sFeMnT6nVN2&referrer=%5Bthe%20profile%20of%20Yixiang%20Shan%5D(%2Fprofile%3Fid%3D~Yixiang_Shan1) GLAE: A graph-learnable auto-encoder for single-cell RNA-seq analysis | OpenReview