Models

Point-BERT: Pre-Training 3D Point Cloud Transformers With Masked Point Modeling CVPR 2022 Point Cloud Generation with Continuous Conditioning AISTATS 2022 Poisson Flow Generative Models NeurIPS 2022 Polymorphic-GAN: Generating Aligned Samples Across Multiple Domains With Learned Morph Maps CVPR 2022 Pose-Guided Generative Adversarial Net for Novel View Action Synthesis WACV 2022 Pose Guided Human Image Synthesis with Partially Decoupled GAN ACML 2022 Pose Guided Image Generation from Misaligned Sources via Residual Flow Based Correction AAAI 2022 Position-based Prompting for Health Outcome Generation ACL 2022 Posterior Collapse of a Linear Latent Variable Model NeurIPS 2022 Posterior Matching for Arbitrary Conditioning NeurIPS 2022 Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks NeurIPS 2022 PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-Scale Conditional GANs Compression WACV 2022 Practical Conditional Neural Process Via Tractable Dependent Predictions ICLR 2022 Practical Integration via Separable Bijective Networks ICLR 2022 Practical uncertainty quantification for brain tumor segmentation MIDL 2022 Predictive Coding beyond Gaussian Distributions NeurIPS 2022 Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model CVPR 2022 Pretrained Biomedical Language Models for Clinical NLP in Spanish ACL 2022 Pre-trained language models evaluating themselves - A comparative study ACL 2022 Pre-Trained Language Models for Interactive Decision-Making NeurIPS 2022 Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation? ACL 2022 Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators ICLR 2022 Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors NeurIPS 2022 PRINCE: Prefix-Masked Decoding for Knowledge Enhanced Sequence-to-Sequence Pre-Training EMNLP 2022 Principled Knowledge Extrapolation with GANs ICML 2022