Models

Focus! Relevant and Sufficient Context Selection for News Image Captioning EMNLP 2022 Food Knowledge Representation Learning with Adversarial Substitution AACL 2022 Forget-me-not! Contrastive critics for mitigating posterior collapse UAI 2022 Forging Multiple Training Objectives for Pre-trained Language Models via Meta-Learning EMNLP 2022 Forward Operator Estimation in Generative Models with Kernel Transfer Operators ICML 2022 Foundation Models of Scientific Knowledge for Chemistry: Opportunities, Challenges and Lessons Learned ACL 2022 Foundation Posteriors for Approximate Probabilistic Inference NeurIPS 2022 Fraunhofer SIT@SMM4H’22: Learning to Predict Stances and Premises in Tweets related to COVID-19 Health Orders Using Generative Models COLING 2022 FreGAN: Exploiting Frequency Components for Training GANs under Limited Data NeurIPS 2022 From data to functa: Your data point is a function and you can treat it like one ICML 2022 Fully Convolutional Cross-Scale-Flows for Image-Based Defect Detection WACV 2022 Fully Spiking Variational Autoencoder AAAI 2022 Function-space Inference with Sparse Implicit Processes ICML 2022 Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation NAACL 2022 FWD: Real-Time Novel View Synthesis With Forward Warping and Depth CVPR 2022 GAMA: Generative Adversarial Multi-Object Scene Attacks NeurIPS 2022 GanOrCon: Are Generative Models Useful for Few-Shot Segmentation? CVPR 2022 GANSeg: Learning To Segment by Unsupervised Hierarchical Image Generation CVPR 2022 GANs Spatial Control via Inference-Time Adaptive Normalization WACV 2022 GAN-Supervised Dense Visual Alignment CVPR 2022 GAR: Generalized Autoregression for Multi-Fidelity Fusion NeurIPS 2022 GATSBI: Generative Adversarial Training for Simulation-Based Inference ICLR 2022 GAUDI: A Neural Architect for Immersive 3D Scene Generation NeurIPS 2022 Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification ICML 2022 Gaussian Process Modeling of Approximate Inference Errors for Variational Autoencoders CVPR 2022