autoregressive model

Time-series Generation by Contrastive Imitation NeurIPS 2021 Uncertainty Estimation in Autoregressive Structured Prediction ICLR 2021 Unconditional Scene Graph Generation ICCV 2021 Variational Auto-Regressive Gaussian Processes for Continual Learning ICML 2021 Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images ICLR 2021 Zero-Shot Text-to-Image Generation ICML 2021 An Efficient Subband Linear Prediction for LPCNet-Based Neural Synthesis Interspeech 2020 ARVC: An Auto-Regressive Voice Conversion System Without Parallel Training Data Interspeech 2020 Autoregressive Affective Language Forecasting: A Self-Supervised Task COLING 2020 Autoregressive Score Matching NeurIPS 2020 Bayesian joint state and parameter tracking in autoregressive models L4DC 2020 Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting AAAI 2020 Cascaded Text Generation with Markov Transformers NeurIPS 2020 Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow NeurIPS 2020 Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures PGM 2020 Decoding As Dynamic Programming For Recurrent Autoregressive Models ICLR 2020 Distribution Augmentation for Generative Modeling ICML 2020 DurIAN: Duration Informed Attention Network for Speech Synthesis Interspeech 2020 ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation ACL 2020 Enhancing Monotonicity for Robust Autoregressive Transformer TTS Interspeech 2020 Finding the Optimal Vocabulary Size for Neural Machine Translation EMNLP 2020 Generative Pretraining From Pixels ICML 2020 GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation ICLR 2020 Hierarchical Generation of Molecular Graphs using Structural Motifs ICML 2020 High Fidelity Speech Synthesis with Adversarial Networks ICLR 2020