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 Deep Learning



Few-shot Image Generation via Adaptation-Aware Kernel Modulation

Neural Information Processing Systems

Few-shot image generation (FSIG) aims to learn to generate new and diverse samples given an extremely limited number of samples from a domain, e.g., 10 training



Measuring and Reducing Model Update Regression in Structured Prediction for NLP

Neural Information Processing Systems

Recent advance in deep learning has led to the rapid adoption of machine learning-based NLP models in a wide range of applications. Despite the continuous gain in accuracy, backward compatibility is also an important aspect for industrial applications, yet it received little research attention.