Models

EGC: Image Generation and Classification via a Diffusion Energy-Based Model ICCV 2023 EGG-GAE: scalable graph neural networks for tabular data imputation AISTATS 2023 Ego-Body Pose Estimation via Ego-Head Pose Estimation CVPR 2023 Elaboration-Generating Commonsense Question Answering at Scale ACL 2023 Element-aware Summarization with Large Language Models: Expert-aligned Evaluation and Chain-of-Thought Method ACL 2023 Eliciting Rich Positive Emotions in Dialogue Generation ACL 2023 ELYADATA at WojoodNER Shared Task: Data and Model-centric Approaches for Arabic Flat and Nested NER EMNLP 2023 Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement ICLR 2023 Embodied Lifelong Learning for Task and Motion Planning CoRL 2023 Embracing the chaos: analysis and diagnosis of numerical instability in variational flows NeurIPS 2023 Emergent and Predictable Memorization in Large Language Models NeurIPS 2023 Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions ICML 2023 Emergent Correspondence from Image Diffusion NeurIPS 2023 EmoMix: Emotion Mixing via Diffusion Models for Emotional Speech Synthesis Interspeech 2023 Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice Conversion Interspeech 2023 Emotional Voice Conversion with Semi-Supervised Generative Modeling Interspeech 2023 Empowering Low-Light Image Enhancer through Customized Learnable Priors ICCV 2023 End-to-End Autoregressive Retrieval via Bootstrapping for Smart Reply Systems EMNLP 2023 End-to-End Diffusion Latent Optimization Improves Classifier Guidance ICCV 2023 End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics NeurIPS 2023 End-to-End Learning to Warm-Start for Real-Time Quadratic Optimization L4DC 2023 End-to-End Single-Frame Image Signal Processing for High Dynamic Range Scenes WACV 2023 End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization ICML 2023 Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models NeurIPS 2023 Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach NeurIPS 2023