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Generative Models

6,381 papers

Papers per year

Papers

Changing the Contrast of Magnetic Resonance Imaging Signals using Deep Learning MIDL 2021
Automated triaging of head MRI examinations using convolutional neural networks MIDL 2021
Deep Generative Analysis for Task-Based Functional MRI Experiments MLHC 2021
A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length Prediction MLHC 2021
Deep Cox Mixtures for Survival Regression MLHC 2021
Point Processes for Competing Observations with Recurrent Networks (POPCORN): A Generative Model of EHR Data MLHC 2021
APo-VAE: Text Generation in Hyperbolic Space NAACL 2021
Improving Generation and Evaluation of Visual Stories via Semantic Consistency NAACL 2021
Learning to Synthesize Data for Semantic Parsing NAACL 2021
FlowPrior: Learning Expressive Priors for Latent Variable Sentence Models NAACL 2021
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints NAACL 2021
SOCCER: An Information-Sparse Discourse State Tracking Collection in the Sports Commentary Domain NAACL 2021
SCRIPT: Self-Critic PreTraining of Transformers NAACL 2021
OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation NAACL 2021
WBI at MEDIQA 2021: Summarizing Consumer Health Questions with Generative Transformers NAACL 2021
Optum at MEDIQA 2021: Abstractive Summarization of Radiology Reports using simple BART Finetuning NAACL 2021
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization NAACL 2021
Learning Similarity between Movie Characters and Its Potential Implications on Understanding Human Experiences NAACL 2021
Variational inference with continuously-indexed normalizing flows UAI 2021
Featurized density ratio estimation UAI 2021
Symmetric Wasserstein autoencoders UAI 2021
Unsupervised anomaly detection with adversarial mirrored autoencoders UAI 2021
FlexAE: flexibly learning latent priors for wasserstein auto-encoders UAI 2021
Generative Archimedean copulas UAI 2021
GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data UAI 2021