Generative Models

Debiasing Multimodal Models via Causal Information Minimization EMNLP 2023 Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes NeurIPS 2023 Decorate3D: Text-Driven High-Quality Texture Generation for Mesh Decoration in the Wild NeurIPS 2023 Deep Contract Design via Discontinuous Networks NeurIPS 2023 Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model CVPR 2023 Deep Equilibrium Non-Autoregressive Sequence Learning ACL 2023 Deep Gaussian mixture ensembles UAI 2023 Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models ICLR 2023 Deep Generative Symbolic Regression ICLR 2023 Deep Latent State Space Models for Time-Series Generation ICML 2023 DeepPavlov Dream: Platform for Building Generative AI Assistants ACL 2023 DeepPrivacy2: Towards Realistic Full-Body Anonymization WACV 2023 Deep Recurrent Optimal Stopping NeurIPS 2023 Deep Speech Synthesis from MRI-Based Articulatory Representations Interspeech 2023 Deep Variational Implicit Processes ICLR 2023 DeformToon3D: Deformable Neural Radiance Fields for 3D Toonification ICCV 2023 DejaVu: Conditional Regenerative Learning To Enhance Dense Prediction CVPR 2023 Delving Into Masked Autoencoders for Multi-Label Thorax Disease Classification WACV 2023 DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding EMNLP 2023 DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task EMNLP 2023 DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction EMNLP 2023 Demystifying Randomly Initialized Networks for Evaluating Generative Models AAAI 2023 De Novo Molecular Generation via Connection-aware Motif Mining ICLR 2023 DENSE RGB SLAM WITH NEURAL IMPLICIT MAPS ICLR 2023 Density estimation on low-dimensional manifolds: an inflation-deflation approach JMLR 2023