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Autoencoders

1,313 papers

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Papers

DiscoNet: Shapes Learning on Disconnected Manifolds for 3D Editing ICCV 2019 Discrete Flows: Invertible Generative Models of Discrete Data NeurIPS 2019 Discrete Object Generation with Reversible Inductive Construction NeurIPS 2019 Disentangling Style Factors from Speaker Representations Interspeech 2019 Diversifying Reply Suggestions Using a Matching-Conditional Variational Autoencoder NAACL 2019 Doc2hash: Learning Discrete Latent variables for Documents Retrieval NAACL 2019 Domain Agnostic Learning with Disentangled Representations ICML 2019 DSIC: Deep Stereo Image Compression ICCV 2019 DVC: An End-To-End Deep Video Compression Framework CVPR 2019 Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer ICLR 2019 Enabling hyperparameter optimization in sequential autoencoders for spiking neural data NeurIPS 2019 End-to-End Convolutional Sequence Learning for ASL Fingerspelling Recognition Interspeech 2019 Enhancing Unsupervised Generative Dependency Parser with Contextual Information ACL 2019 ERL-Net: Entangled Representation Learning for Single Image De-Raining ICCV 2019 Exact Rate-Distortion in Autoencoders via Echo Noise NeurIPS 2019 Explicit Disentanglement of Appearance and Perspective in Generative Models NeurIPS 2019 Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning ACL 2019 Exploring the Encoder Layers of Discriminative Autoencoders for LVCSR Interspeech 2019 Fusing Unsupervised and Supervised Deep Learning for White Matter Lesion Segmentation MIDL 2019 Gait Recognition via Disentangled Representation Learning CVPR 2019 Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning CVPR 2019 Generating Diverse High-Fidelity Images with VQ-VAE-2 NeurIPS 2019 Graph and Autoencoder Based Feature Extraction for Zero-shot Learning IJCAI 2019 Group Latent Embedding for Vector Quantized Variational Autoencoder in Non-Parallel Voice Conversion Interspeech 2019 Hierarchical Decompositional Mixtures of Variational Autoencoders ICML 2019