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Generative Models

6381 directly classified papers

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Papers

Deep Convolutional Sum-Product Networks AAAI 2019
InfoVAE: Balancing Learning and Inference in Variational Autoencoders AAAI 2019
An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction IJCNLP 2019
Latent-Variable Generative Models for Data-Efficient Text Classification IJCNLP 2019
Inverting Supervised Representations with Autoregressive Neural Density Models AISTATS 2019
A recurrent Markov state-space generative model for sequences AISTATS 2019
Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference AISTATS 2019
Doubly Semi-Implicit Variational Inference AISTATS 2019
Training Variational Autoencoders with Buffered Stochastic Variational Inference AISTATS 2019
Smooth Deep Image Generator from Noises AAAI 2019
Probabilistic Permutation Invariant Training for Speech Separation INTERSPEECH 2019
Improving Statute Prediction via Mining Correlations between Statutes ACML 2019
SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA ACML 2019
Implicit Kernel Learning AISTATS 2019
Deep learning with differential Gaussian process flows AISTATS 2019
Fast and Robust Shortest Paths on Manifolds Learned from Data AISTATS 2019
Resampled Priors for Variational Autoencoders AISTATS 2019
Understanding VAEs in Fisher-Shannon Plane AAAI 2019
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement ICML 2019
Variational Conditional GAN for Fine-grained Controllable Image Generation ACML 2019
Sequence to Sequence Learning for Query Expansion AAAI 2019
DavinciGAN: Unpaired Surgical Instrument Translation for Data Augmentation MIDL 2019
Generative Image Translation for Data Augmentation of Bone Lesion Pathology MIDL 2019
Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations MIDL 2019
Differentiated Distribution Recovery for Neural Text Generation AAAI 2019