latent space

Fair Attribute Classification Through Latent Space De-Biasing CVPR 2021 Featurized density ratio estimation UAI 2021 Few-Shot Classification With Feature Map Reconstruction Networks CVPR 2021 Few-Shot Image Generation via Cross-Domain Correspondence CVPR 2021 FlexAE: flexibly learning latent priors for wasserstein auto-encoders UAI 2021 GAN Inversion for Out-of-Range Images With Geometric Transformations ICCV 2021 GAN "Steerability" without optimization ICLR 2021 Geometrically Enriched Latent Spaces AISTATS 2021 GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution CVPR 2021 Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs CVPR 2021 Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network AAAI 2021 Improving Predictors via Combination Across Diverse Task Categories ICML 2021 Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein ICLR 2021 Integrating Categorical Semantics into Unsupervised Domain Translation ICLR 2021 L2M-GAN: Learning To Manipulate Latent Space Semantics for Facial Attribute Editing CVPR 2021 LAMDA: Label Matching Deep Domain Adaptation ICML 2021 LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions ICCV 2021 Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification ICML 2021 Latent Transformations via NeuralODEs for GAN-Based Image Editing ICCV 2021 Learning a Latent Search Space for Routing Problems using Variational Autoencoders ICLR 2021 Learning Bayesian Networks from Ordinal Data JMLR 2021 Learning Dynamics Models with Stable Invariant Sets AAAI 2021 Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression CVPR 2021 Lifting 2D StyleGAN for 3D-Aware Face Generation CVPR 2021 Low-Rank Subspaces in GANs NeurIPS 2021