autoregressive model

Should you marginalize over possible tokenizations? ACL 2023 SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models ICLR 2023 SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control ACL 2023 Style-Guided Inference of Transformer for High-Resolution Image Synthesis WACV 2023 SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting NeurIPS 2023 Switching Autoregressive Low-rank Tensor Models NeurIPS 2023 Token Turing Machines CVPR 2023 Towards Accurate Image Coding: Improved Autoregressive Image Generation With Dynamic Vector Quantization CVPR 2023 Towards More Efficient Insertion Transformer with Fractional Positional Encoding EACL 2023 Towards Unified Scene Text Spotting Based on Sequence Generation CVPR 2023 Transcribing Speech as Spoken and Written Dual Text Using an Autoregressive Model Interspeech 2023 Transformer-based World Models Are Happy With 100k Interactions ICLR 2023 Treepiece: Faster Semantic Parsing via Tree Tokenization EMNLP 2023 Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning ICML 2023 Variational Annealing on Graphs for Combinatorial Optimization NeurIPS 2023 AdaCat: Adaptive categorical discretization for autoregressive models UAI 2022 A Label-Aware Autoregressive Framework for Cross-Domain NER NAACL 2022 Autoregressive Co-Training for Learning Discrete Speech Representation Interspeech 2022 Autoregressive Image Generation Using Residual Quantization CVPR 2022 Autoregressive Perturbations for Data Poisoning NeurIPS 2022 Autoregressive Quantile Flows for Predictive Uncertainty Estimation ICLR 2022 Autoregressive Structured Prediction with Language Models EMNLP 2022 AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation CVPR 2022 C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting NeurIPS 2022 Causal forecasting: generalization bounds for autoregressive models UAI 2022