Models

Neural Sampling in Hierarchical Exponential-family Energy-based Models NeurIPS 2023 Neural Scene Chronology CVPR 2023 Neural Texture Synthesis With Guided Correspondence CVPR 2023 Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning ACL 2023 Neural Video Compression With Diverse Contexts CVPR 2023 Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels ICML 2023 Neurosymbolic Reasoning and Learning with Restricted Boltzmann Machines AAAI 2023 NEWTON: Are Large Language Models Capable of Physical Reasoning? EMNLP 2023 Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars CVPR 2023 NIKI: Neural Inverse Kinematics With Invertible Neural Networks for 3D Human Pose and Shape Estimation CVPR 2023 NIR-assisted Video Enhancement via Unpaired 24-hour Data ICCV 2023 NIRVANA: Neural Implicit Representations of Videos With Adaptive Networks and Autoregressive Patch-Wise Modeling CVPR 2023 NLIP: Noise-Robust Language-Image Pre-training AAAI 2023 NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning AISTATS 2023 Noisy adversarial representation learning for effective and efficient image obfuscation UAI 2023 NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs CVPR 2023 Non-adversarial training of Neural SDEs with signature kernel scores NeurIPS 2023 Non-autoregressive Conditional Diffusion Models for Time Series Prediction ICML 2023 Non-Autoregressive Document-Level Machine Translation EMNLP 2023 Non-Autoregressive Math Word Problem Solver with Unified Tree Structure EMNLP 2023 NonFactS: NonFactual Summary Generation for Factuality Evaluation in Document Summarization ACL 2023 Nonlinear Causal Discovery with Latent Confounders ICML 2023 Non-parallel Accent Transfer based on Fine-grained Controllable Accent Modelling EMNLP 2023 Nonparametric Decoding for Generative Retrieval ACL 2023 Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows ICML 2023