Models

SMPLpix: Neural Avatars From 3D Human Models WACV 2021 SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data AAAI 2021 SNIPS: Solving Noisy Inverse Problems Stochastically NeurIPS 2021 SOCCER: An Information-Sparse Discourse State Tracking Collection in the Sports Commentary Domain NAACL 2021 SoFA: Source-Data-Free Feature Alignment for Unsupervised Domain Adaptation WACV 2021 Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder CVPR 2021 Solving Aspect Category Sentiment Analysis as a Text Generation Task EMNLP 2021 Solving Inverse Problems with a Flow-based Noise Model ICML 2021 Some Theoretical Insights into Wasserstein GANs JMLR 2021 Sorting through the noise: Testing robustness of information processing in pre-trained language models EMNLP 2021 Space-Time Neural Irradiance Fields for Free-Viewpoint Video CVPR 2021 Sparse Flows: Pruning Continuous-depth Models NeurIPS 2021 Sparsity Aware Normalization for GANs AAAI 2021 Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling ICLR 2021 Spatially-Adaptive Pixelwise Networks for Fast Image Translation CVPR 2021 Spatially-Invariant Style-Codes Controlled Makeup Transfer CVPR 2021 Spectral Distribution Aware Image Generation AAAI 2021 Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders ICML 2021 Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution NeurIPS 2021 Speculative Sampling in Variational Autoencoders for Dialogue Response Generation EMNLP 2021 Speech Denoising with Auditory Models Interspeech 2021 Speech Disorder Classification Using Extended Factorized Hierarchical Variational Auto-Encoders Interspeech 2021 Speech Enhancement with Topology-Enhanced Generative Adversarial Networks (GANs) Interspeech 2021 SpeechMoE: Scaling to Large Acoustic Models with Dynamic Routing Mixture of Experts Interspeech 2021 Speech Resynthesis from Discrete Disentangled Self-Supervised Representations Interspeech 2021