Generative Models

Bridging Discrete and Backpropagation: Straight-Through and Beyond NeurIPS 2023 Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation EMNLP 2023 Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs NeurIPS 2023 Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts ACL 2023 Building Normalizing Flows with Stochastic Interpolants ICLR 2023 C2F2NeUS: Cascade Cost Frustum Fusion for High Fidelity and Generalizable Neural Surface Reconstruction ICCV 2023 Calibrated Multiple-Output Quantile Regression with Representation Learning JMLR 2023 Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields CVPR 2023 Canonical normalizing flows for manifold learning NeurIPS 2023 Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning? NeurIPS 2023 Can We Find Strong Lottery Tickets in Generative Models? AAAI 2023 CASN:Class-Aware Score Network for Textual Adversarial Detection ACL 2023 Catch Missing Details: Image Reconstruction With Frequency Augmented Variational Autoencoder CVPR 2023 Causal Component Analysis NeurIPS 2023 Causal Inference with Conditional Instruments Using Deep Generative Models AAAI 2023 Causality-Guided Multi-Memory Interaction Network for Multivariate Stock Price Movement Prediction ACL 2023 CC3D: Layout-Conditioned Generation of Compositional 3D Scenes ICCV 2023 CDA: A Contrastive Data Augmentation Method for Alzheimer’s Disease Detection ACL 2023 CelebV-Text: A Large-Scale Facial Text-Video Dataset CVPR 2023 Certified Training: Small Boxes are All You Need ICLR 2023 CFlowNets: Continuous Control with Generative Flow Networks ICLR 2023 CG-NeRF: Conditional Generative Neural Radiance Fields for 3D-Aware Image Synthesis WACV 2023 Character-Aware Models Improve Visual Text Rendering ACL 2023 Characteristic Circuits NeurIPS 2023 Characteristic Neural Ordinary Differential Equation ICLR 2023