autoregressive model

Analysis by Adversarial Synthesis — A Novel Approach for Speech Vocoding Interspeech 2019 A New GAN-Based End-to-End TTS Training Algorithm Interspeech 2019 An Unsupervised Autoregressive Model for Speech Representation Learning Interspeech 2019 Autoregressive Energy Machines ICML 2019 Autoregressive Text Generation Beyond Feedback Loops EMNLP 2019 Discrete Flows: Invertible Generative Models of Discrete Data NeurIPS 2019 Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design ICML 2019 Forward-Backward Decoding for Regularizing End-to-End TTS Interspeech 2019 Generalization in Generation: A closer look at Exposure Bias EMNLP 2019 GENERATING HIGH FIDELITY IMAGES WITH SUBSCALE PIXEL NETWORKS AND MULTIDIMENSIONAL UPSCALING ICLR 2019 Global Autoregressive Models for Data-Efficient Sequence Learning CoNLL 2019 Language Modeling with Deep Transformers Interspeech 2019 Latent Space Autoregression for Novelty Detection CVPR 2019 Learning Dynamic Generator Model by Alternating Back-Propagation through Time AAAI 2019 Order-Aware Generative Modeling Using the 3D-Craft Dataset ICCV 2019 Predicting 3D Human Dynamics From Video ICCV 2019 Probability Distillation: A Caveat and Alternatives UAI 2019 Re-examination of the Role of Latent Variables in Sequence Modeling NeurIPS 2019 Singing Voice Synthesis Using Deep Autoregressive Neural Networks for Acoustic Modeling Interspeech 2019 Speech Based Emotion Prediction: Can a Linear Model Work? Interspeech 2019 Sum-of-Squares Polynomial Flow ICML 2019 SynthNet: Learning to Synthesize Music End-to-End IJCAI 2019 The Gaussian Process Autoregressive Regression Model (GPAR) AISTATS 2019 Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis ICLR 2018 Autoregressive Convolutional Neural Networks for Asynchronous Time Series ICML 2018