generative model

Coupled Variational Autoencoder ICML 2023 CP2Image: Generating high-quality single-cell images using CellProfiler representations MIDL 2023 Credible without Credit: Domain Experts Assess Generative Language Models ACL 2023 Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss ICML 2023 Cross-Domain Video Anomaly Detection Without Target Domain Adaptation WACV 2023 CSIRO Data61 Team at BioLaySumm Task 1: Lay Summarisation of Biomedical Research Articles Using Generative Models ACL 2023 DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks ICLR 2023 Data-Copying in Generative Models: A Formal Framework ICML 2023 Debiasing Generative Named Entity Recognition by Calibrating Sequence Likelihood ACL 2023 Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes NeurIPS 2023 Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models NeurIPS 2023 Deconstructed Generation-Based Zero-Shot Model AAAI 2023 Deep Generative Symbolic Regression ICLR 2023 DeformToon3D: Deformable Neural Radiance Fields for 3D Toonification ICCV 2023 DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task EMNLP 2023 Demystifying Randomly Initialized Networks for Evaluating Generative Models AAAI 2023 DE-net: Dynamic Text-Guided Image Editing Adversarial Networks AAAI 2023 Denoising Diffusion Autoencoders are Unified Self-supervised Learners ICCV 2023 Denoising Diffusion Samplers ICLR 2023 DG3D: Generating High Quality 3D Textured Shapes by Learning to Discriminate Multi-Modal Diffusion-Renderings ICCV 2023 DICE: Data-Efficient Clinical Event Extraction with Generative Models ACL 2023 DiffComplete: Diffusion-based Generative 3D Shape Completion NeurIPS 2023 DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion ICCV 2023 Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement Interspeech 2023 Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models NeurIPS 2023