Models

Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning CVPR 2023 Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping AAAI 2023 Gradient-Free Kernel Stein Discrepancy NeurIPS 2023 Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models ICLR 2023 GRAM-HD: 3D-Consistent Image Generation at High Resolution with Generative Radiance Manifolds ICCV 2023 Graph-based Polyphonic Multitrack Music Generation IJCAI 2023 Graph Generative Model for Benchmarking Graph Neural Networks ICML 2023 Graphically Structured Diffusion Models ICML 2023 GRASMOS: Graph Signage Model Selection for Gene Regulatory Networks AAAI 2023 GREAD: Graph Neural Reaction-Diffusion Networks ICML 2023 Gromov-Wasserstein Autoencoders ICLR 2023 Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space CVPR 2023 Guided Deep Kernel Learning UAI 2023 Guided Depth Super-Resolution by Deep Anisotropic Diffusion CVPR 2023 Guided Motion Diffusion for Controllable Human Motion Synthesis ICCV 2023 Guiding Energy-based Models via Contrastive Latent Variables ICLR 2023 GUMSum: Multi-Genre Data and Evaluation for English Abstractive Summarization ACL 2023 HairNeRF: Geometry-Aware Image Synthesis for Hairstyle Transfer ICCV 2023 HandNeRF: Neural Radiance Fields for Animatable Interacting Hands CVPR 2023 HandsOff: Labeled Dataset Generation With No Additional Human Annotations CVPR 2023 Handwritten Text Generation From Visual Archetypes CVPR 2023 Handy: Towards a High Fidelity 3D Hand Shape and Appearance Model CVPR 2023 Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery NeurIPS 2023 Harnessing Out-Of-Distribution Examples via Augmenting Content and Style ICLR 2023 Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements EMNLP 2023