Models

Automated triaging of head MRI examinations using convolutional neural networks MIDL 2021 Automatic Construction of Enterprise Knowledge Base EMNLP 2021 Automatic Correction of Internal Units in Generative Neural Networks CVPR 2021 Automatic Differentiation Variational Inference with Mixtures AISTATS 2021 Automatic structured variational inference AISTATS 2021 Automatic variational inference with cascading flows ICML 2021 Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting ICML 2021 Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization ICLR 2021 Autoregressive Entity Retrieval ICLR 2021 Autoregressive Stylized Motion Synthesis With Generative Flow CVPR 2021 A Variational Inference Approach to Learning Multivariate Wold Processes AISTATS 2021 A Variational Perspective on Diffusion-Based Generative Models and Score Matching NeurIPS 2021 Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks AAAI 2021 BARThez: a Skilled Pretrained French Sequence-to-Sequence Model EMNLP 2021 BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders ICML 2021 Basis-MelGAN: Efficient Neural Vocoder Based on Audio Decomposition Interspeech 2021 BASS: Boosting Abstractive Summarization with Unified Semantic Graph ACL 2021 Bayesian Context Aggregation for Neural Processes ICLR 2021 Bayesian Deep Learning via Subnetwork Inference ICML 2021 Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression CVPR 2021 BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery NeurIPS 2021 Behavior-Driven Synthesis of Human Dynamics CVPR 2021 Beltrami Flow and Neural Diffusion on Graphs NeurIPS 2021 Benchmarking Ultra-High-Definition Image Super-Resolution ICCV 2021 Benefiting From Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution WACV 2021