generative model

Zero-Shot Adversarial Quantization CVPR 2021 Zero-Shot Recognition via Optimal Transport WACV 2021 Zero-shot Synthesis with Group-Supervised Learning ICLR 2021 3FabRec: Fast Few-Shot Face Alignment by Reconstruction CVPR 2020 A Batch Normalized Inference Network Keeps the KL Vanishing Away ACL 2020 ACFlow: Flow Models for Arbitrary Conditional Likelihoods ICML 2020 Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations CVPR 2020 A Complete Characterization of Projectivity for Statistical Relational Models IJCAI 2020 Ad-hoc Document Retrieval using Weak-Supervision with BERT and GPT2 EMNLP 2020 Adversarial Latent Autoencoders CVPR 2020 Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models NeurIPS 2020 AE-OT: A NEW GENERATIVE MODEL BASED ON EXTENDED SEMI-DISCRETE OPTIMAL TRANSPORT ICLR 2020 A Forest from the Trees: Generation through Neighborhoods AAAI 2020 A Free-Energy Principle for Representation Learning ICML 2020 A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation WACV 2020 A Generative Model for Joint Natural Language Understanding and Generation ACL 2020 A Generative Model for Molecular Distance Geometry ICML 2020 AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows AAAI 2020 Alleviation of Gradient Exploding in GANs: Fake Can Be Real CVPR 2020 Amortized Bayesian Optimization over Discrete Spaces UAI 2020 An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks AAAI 2020 Animating Face using Disentangled Audio Representations WACV 2020 A Preliminary Exploration of GANs for Keyphrase Generation EMNLP 2020 A Spectral Energy Distance for Parallel Speech Synthesis NeurIPS 2020 AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity AISTATS 2020