Co-occurring keywords · papers mentioning both
Papers
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data
AISTATS 2021
Generate, Segment, and Refine: Towards Generic Manipulation Segmentation
AAAI 2020
Injecting Numerical Reasoning Skills into Language Models
ACL 2020
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation
CVPR 2020
Achieving Causal Fairness through Generative Adversarial Networks
IJCAI 2019
GAIN: Missing Data Imputation using Generative Adversarial Nets
ICML 2018
Geometry Based Data Generation
NeurIPS 2018
Making Better Use of the Crowd: How Crowdsourcing Can Advance Machine Learning Research
JMLR 2018
Multivariate Time Series Imputation with Generative Adversarial Networks
NeurIPS 2018
Using Monolingual Data in Neural Machine Translation: a Systematic Study
EMNLP 2018