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Autoencoders

1,154 papers

Papers per year

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11
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Papers

Weakly-Supervised Action Segmentation and Alignment via Transcript-Aware Union-of-Subspaces Learning ICCV 2021
Virtual Multi-Modality Self-Supervised Foreground Matting for Human-Object Interaction ICCV 2021
Explaining in Style: Training a GAN To Explain a Classifier in StyleSpace ICCV 2021
HighlightMe: Detecting Highlights From Human-Centric Videos ICCV 2021
Point-Set Distances for Learning Representations of 3D Point Clouds ICCV 2021
Hierarchical Disentangled Representation Learning for Outdoor Illumination Estimation and Editing ICCV 2021
Predictive Feature Learning for Future Segmentation Prediction ICCV 2021
Unconditional Scene Graph Generation ICCV 2021
Progressive Seed Generation Auto-Encoder for Unsupervised Point Cloud Learning ICCV 2021
Principal Bit Analysis: Autoencoding with Schur-Concave Loss ICML 2021
Learning from Nested Data with Ornstein Auto-Encoders ICML 2021
Coded-InvNet for Resilient Prediction Serving Systems ICML 2021
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations ICML 2021
MorphVAE: Generating Neural Morphologies from 3D-Walks using a Variational Autoencoder with Spherical Latent Space ICML 2021
Autoencoder Image Interpolation by Shaping the Latent Space ICML 2021
Vector Quantized Models for Planning ICML 2021
Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders ICML 2021
Global Prosody Style Transfer Without Text Transcriptions ICML 2021
Unsupervised Part Representation by Flow Capsules ICML 2021
Monte Carlo Variational Auto-Encoders ICML 2021
Conjugate Energy-Based Models ICML 2021
SinIR: Efficient General Image Manipulation with Single Image Reconstruction ICML 2021
Autoencoding Under Normalization Constraints ICML 2021
Demystifying Inductive Biases for (Beta-)VAE Based Architectures ICML 2021
RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection IJCAI 2021