Autoencoders

DECA: Deep Viewpoint-Equivariant Human Pose Estimation Using Capsule Autoencoders ICCV 2021 De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation ACL 2021 Deep Fusion Clustering Network AAAI 2021 Deep Generative Analysis for Task-Based Functional MRI Experiments MLHC 2021 Deep Homography for Efficient Stereo Image Compression CVPR 2021 Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time NeurIPS 2021 Deep Learning in Latent Space for Video Prediction and Compression CVPR 2021 Deep Semantic Dictionary Learning for Multi-label Image Classification AAAI 2021 Deep Structural Contrastive Subspace Clustering ACML 2021 Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting AAAI 2021 DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations AAAI 2021 Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection WACV 2021 Demystifying Inductive Biases for (Beta-)VAE Based Architectures ICML 2021 Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces IJCAI 2021 Development of a Psychoacoustic Loss Function for the Deep Neural Network (DNN)-Based Speech Coder Interspeech 2021 Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders EMNLP 2021 Divide-and-Assemble: Learning Block-Wise Memory for Unsupervised Anomaly Detection ICCV 2021 Dual Contradistinctive Generative Autoencoder CVPR 2021 EEC: Learning to Encode and Regenerate Images for Continual Learning ICLR 2021 Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations ICML 2021 Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval EMNLP 2021 Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models NeurIPS 2021 Explaining in Style: Training a GAN To Explain a Classifier in StyleSpace ICCV 2021 Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts EMNLP 2021 FlexAE: flexibly learning latent priors for wasserstein auto-encoders UAI 2021