Generative Models

Learning with Rejection for Abstractive Text Summarization EMNLP 2022 Learn To Remember: Transformer with Recurrent Memory for Document-Level Machine Translation NAACL 2022 Leashing the Inner Demons: Self-Detoxification for Language Models AAAI 2022 Leveraging QA Datasets to Improve Generative Data Augmentation EMNLP 2022 LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood ICML 2022 Lifelong Generative Modelling Using Dynamic Expansion Graph Model AAAI 2022 Light Field Neural Rendering CVPR 2022 Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory ICLR 2022 Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems ALT 2022 Local Attention Pyramid for Scene Image Generation CVPR 2022 Locally Hierarchical Auto-Regressive Modeling for Image Generation NeurIPS 2022 LOLNerf: Learn From One Look CVPR 2022 Look Closer To Supervise Better: One-Shot Font Generation via Component-Based Discriminator CVPR 2022 Lossless Compression with Probabilistic Circuits ICLR 2022 LOSSY COMPRESSION WITH DISTRIBUTION SHIFT AS ENTROPY CONSTRAINED OPTIMAL TRANSPORT ICLR 2022 Lost in Latent Space: Examining failures of disentangled models at combinatorial generalisation NeurIPS 2022 Low-Cost Multispectral Scene Analysis With Modality Distillation WACV 2022 Low-Light Image Enhancement with Normalizing Flow AAAI 2022 L-Verse: Bidirectional Generation Between Image and Text CVPR 2022 MAGMA – Multimodal Augmentation of Generative Models through Adapter-based Finetuning EMNLP 2022 MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining ICLR 2022 Make It Move: Controllable Image-to-Video Generation With Text Descriptions CVPR 2022 Manifold Interpolating Optimal-Transport Flows for Trajectory Inference NeurIPS 2022 Manifold Learning Benefits GANs CVPR 2022 Mapping conditional distributions for domain adaptation under generalized target shift ICLR 2022