Models

Image Synthesis via Semantic Composition ICCV 2021 IMAGINE: Image Synthesis by Image-Guided Model Inversion CVPR 2021 imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Pose ICCV 2021 Implicit Generative Copulas NeurIPS 2021 Implicit Normalizing Flows ICLR 2021 Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold ICML 2021 Implicit Representations of Meaning in Neural Language Models ACL 2021 Improved Autoregressive Modeling with Distribution Smoothing ICLR 2021 Improved Contrastive Divergence Training of Energy-Based Models ICML 2021 Improved Denoising Diffusion Probabilistic Models ICML 2021 Improved Speech Enhancement Using a Complex-Domain GAN with Fused Time-Domain and Time-Frequency Domain Constraints Interspeech 2021 Improved Techniques for Training Single-Image GANs WACV 2021 Improved Training of Generative Adversarial Networks Using Decision Forests WACV 2021 Improved Transformer for High-Resolution GANs NeurIPS 2021 Improving black-box optimization in VAE latent space using decoder uncertainty NeurIPS 2021 Improving Gaussian mixture latent variable model convergence with Optimal Transport ACML 2021 Improving Generation and Evaluation of Visual Stories via Semantic Consistency NAACL 2021 Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding ICML 2021 Improving Multi-Speaker TTS Prosody Variance with a Residual Encoder and Normalizing Flows Interspeech 2021 Improving Performance of Seen and Unseen Speech Style Transfer in End-to-End Neural TTS Interspeech 2021 Improving predictions of Bayesian neural nets via local linearization AISTATS 2021 Improving Pre-trained Vision-and-Language Embeddings for Phrase Grounding EMNLP 2021 Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein ICLR 2021 Improving Robustness using Generated Data NeurIPS 2021 Improving Sample Efficiency in Model-Free Reinforcement Learning from Images AAAI 2021