Models

Variational Bayesian Unlearning NeurIPS 2020 Variational Context-Deformable ConvNets for Indoor Scene Parsing CVPR 2020 Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring CVPR 2020 Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling ICLR 2020 Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation EMNLP 2020 Variational Inference for Computational Imaging Inverse Problems JMLR 2020 Variational Inference for Sequential Data with Future Likelihood Estimates ICML 2020 Variational Inference for Sparse Gaussian Process Modulated Hawkes Process AAAI 2020 Variational Label Enhancement ICML 2020 Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge IJCAI 2020 Variational Metric Scaling for Metric-Based Meta-Learning AAAI 2020 Variational Neural Machine Translation with Normalizing Flows ACL 2020 Variational Pathway Reasoning for EEG Emotion Recognition AAAI 2020 Variational Template Machine for Data-to-Text Generation ICLR 2020 VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling EMNLP 2020 Vec2Face: Unveil Human Faces From Their Blackbox Features in Face Recognition CVPR 2020 Vector Quantization-Based Regularization for Autoencoders AAAI 2020 Vector-Quantized Neural Networks for Acoustic Unit Discovery in the ZeroSpeech 2020 Challenge Interspeech 2020 Viable Threat on News Reading: Generating Biased News Using Natural Language Models EMNLP 2020 Vid2Game: Controllable Characters Extracted from Real-World Videos ICLR 2020 VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation ICLR 2020 Video Instance Segmentation Tracking With a Modified VAE Architecture CVPR 2020 Video Super-Resolution With Temporal Group Attention CVPR 2020 Visual Question Generation from Radiology Images ACL 2020 VL-BERT: Pre-training of Generic Visual-Linguistic Representations ICLR 2020