latent space

AE-StyleGAN: Improved Training of Style-Based Auto-Encoders WACV 2022 A Geometric Perspective on Variational Autoencoders NeurIPS 2022 A prior-based approximate latent Riemannian metric AISTATS 2022 Artistic Style Discovery With Independent Components CVPR 2022 A Sparsity-promoting Dictionary Model for Variational Autoencoders Interspeech 2022 Attribute Group Editing for Reliable Few-Shot Image Generation CVPR 2022 Autoencoder-Based Tongue Shape Estimation During Continuous Speech Interspeech 2022 Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation AACL 2022 Brain-Supervised Image Editing CVPR 2022 Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers NeurIPS 2022 Concept Activation Regions: A Generalized Framework For Concept-Based Explanations NeurIPS 2022 Contrastive latent variable models for neural text generation UAI 2022 Controlled Text Generation Using Dictionary Prior in Variational Autoencoders ACL 2022 Curiosity-Driven Exploration via Latent Bayesian Surprise AAAI 2022 Cycle-Consistent Counterfactuals by Latent Transformations CVPR 2022 Decoding a Neural Retriever’s Latent Space for Query Suggestion EMNLP 2022 Deep Stereo Image Compression via Bi-Directional Coding CVPR 2022 Deformable Graph Convolutional Networks AAAI 2022 Describing Sets of Images with Textual-PCA EMNLP 2022 Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates AAAI 2022 Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs ICLR 2022 Enhanced Latent Space Blind Model for Real Image Denoising via Alternative Optimization NeurIPS 2022 Equivariant Priors for compressed sensing with unknown orientation ICML 2022 Expanding Low-Density Latent Regions for Open-Set Object Detection CVPR 2022 Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations NeurIPS 2022