Models

Decouple knowledge from paramters for plug-and-play language modeling ACL 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 models as estimators for continuous latent variables AISTATS 2023 Deep Equilibrium Models for Snapshot Compressive Imaging AAAI 2023 Deep Equilibrium Non-Autoregressive Sequence Learning ACL 2023 Deep Feature Deblurring Diffusion for Detecting Out-of-Distribution Objects ICCV 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 Stochastic Processes via Functional Markov Transition Operators NeurIPS 2023 Deep Variational Implicit Processes ICLR 2023 Defending against Adversarial Audio via Diffusion Model ICLR 2023 DeformToon3D: Deformable Neural Radiance Fields for 3D Toonification ICCV 2023 DejaVu: Conditional Regenerative Learning To Enhance Dense Prediction CVPR 2023 Delta Denoising Score ICCV 2023 Delving Into Masked Autoencoders for Multi-Label Thorax Disease Classification WACV 2023 Delving into the Openness of CLIP ACL 2023 DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding EMNLP 2023 Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models EMNLP 2023