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Models

20,488 papers (23 classified directly here)

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Papers (including subtopics)

Spherical Image Generation from a Single Image by Considering Scene Symmetry AAAI 2021 Spot the Difference: Detection of Topological Changes via Geometric Alignment NeurIPS 2021 SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains AAAI 2021 Stage-wise Fine-tuning for Graph-to-Text Generation ACL 2021 StarGANv2-VC: A Diverse, Unsupervised, Non-Parallel Framework for Natural-Sounding Voice Conversion Interspeech 2021 StarGAN-VC+ASR: StarGAN-Based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition Interspeech 2021 STaR: Self-Supervised Tracking and Reconstruction of Rigid Objects in Motion With Neural Rendering CVPR 2021 Statistical guarantees for generative models without domination ALT 2021 Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference AISTATS 2021 Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency NeurIPS 2021 Stay Positive: Non-Negative Image Synthesis for Augmented Reality CVPR 2021 Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes CVPR 2021 Stochastic Image-to-Video Synthesis Using cINNs CVPR 2021 Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models ICLR 2021 Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser NeurIPS 2021 Story Ending Generation with Multi-Level Graph Convolutional Networks over Dependency Trees AAAI 2021 Streaming Bayesian Deep Tensor Factorization ICML 2021 StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding AAAI 2021 Structural Adapters in Pretrained Language Models for AMR-to-Text Generation EMNLP 2021 Structural Pre-training for Dialogue Comprehension ACL 2021 Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation AAAI 2021 Structured deep generative models for sampling on constraint manifolds in sequential manipulation CoRL 2021 Structured Denoising Diffusion Models in Discrete State-Spaces NeurIPS 2021 Structured Dropout Variational Inference for Bayesian Neural Networks NeurIPS 2021 Style-Aware Normalized Loss for Improving Arbitrary Style Transfer CVPR 2021