Models

Knowledge Distillation via Constrained Variational Inference AAAI 2022 Knowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completion COLING 2022 Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding EMNLP 2022 KroneckerBERT: Significant Compression of Pre-trained Language Models Through Kronecker Decomposition and Knowledge Distillation NAACL 2022 Label-Efficient Semantic Segmentation with Diffusion Models ICLR 2022 LAION-5B: An open large-scale dataset for training next generation image-text models NeurIPS 2022 Langevin Autoencoders for Learning Deep Latent Variable Models NeurIPS 2022 Language-agnostic Semantic Consistent Text-to-Image Generation ACL 2022 Language Model Decomposition: Quantifying the Dependency and Correlation of Language Models EMNLP 2022 Language modeling via stochastic processes ICLR 2022 Language Modelling via Learning to Rank AAAI 2022 Language Model Pre-Training with Sparse Latent Typing EMNLP 2022 Language Models as Context-sensitive Word Search Engines ACL 2022 Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion EMNLP 2022 Laplacian Autoencoders for Learning Stochastic Representations NeurIPS 2022 LARGE: Latent-Based Regression Through GAN Semantics CVPR 2022 Large-Scale Differentially Private BERT EMNLP 2022 LAR-SR: A Local Autoregressive Model for Image Super-Resolution CVPR 2022 Latent Diffusion Energy-Based Model for Interpretable Text Modelling ICML 2022 Latent Reweighting, an Almost Free Improvement for GANs WACV 2022 Latent Space Explanation by Intervention AAAI 2022 Latent Temporal Flows for Multivariate Analysis of Wearables Data MLHC 2022 Latent Time Neural Ordinary Differential Equations AAAI 2022 Latent to Latent: A Learned Mapper for Identity Preserving Editing of Multiple Face Attributes in StyleGAN-Generated Images WACV 2022 Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts EMNLP 2022