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Chelsea Voss

2 accepted papers

2021

Zero-Shot Text-to-Image Generation

ICML 2021spotlight

Text-to-image generation has traditionally focused on finding better modeling assumptions for training on a fixed dataset. These assumptions might involve complex architectures, auxiliary losses, or side information such as object part labels or segmentation masks supplied during training. We descri…

2020

Learning to summarize with human feedback

NeurIPS 2020poster

As language models become more powerful, training and evaluation are increasingly bottlenecked by the data and metrics used for a particular task. For example, summarization models are often trained to predict human reference summaries and evaluated using ROUGE, but both of these metrics are rough…