generative model

Invertible DenseNets with Concatenated LipSwish NeurIPS 2021 iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression CVPR 2021 JEM++: Improved Techniques for Training JEM ICCV 2021 Joint inference and input optimization in equilibrium networks NeurIPS 2021 KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference ACL 2021 Keyword Augmentation via Generative Methods ACL 2021 L2C: Describing Visual Differences Needs Semantic Understanding of Individuals EACL 2021 Labels4Free: Unsupervised Segmentation Using StyleGAN ICCV 2021 Latent Gaussian process with composite likelihoods and numerical quadrature AISTATS 2021 Learning Bijective Feature Maps for Linear ICA AISTATS 2021 Learning from Nested Data with Ornstein Auto-Encoders ICML 2021 Learning Neural Generative Dynamics for Molecular Conformation Generation ICLR 2021 Learning perturbation sets for robust machine learning ICLR 2021 Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization ICML 2021 Learning Task-General Representations with Generative Neuro-Symbolic Modeling ICLR 2021 Learning Temporal Point Processes with Intermittent Observations AISTATS 2021 Learning to Recombine and Resample Data For Compositional Generalization ICLR 2021 Learning to Synthesize Data for Semantic Parsing NAACL 2021 Learning Transferable Adversarial Perturbations NeurIPS 2021 Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering EACL 2021 Local Disentanglement in Variational Auto-Encoders Using Jacobian L_1 Regularization NeurIPS 2021 LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving ICCV 2021 LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies ICCV 2021 Making a (Counterfactual) Difference One Rationale at a Time NeurIPS 2021 Manifold Matching via Deep Metric Learning for Generative Modeling ICCV 2021