Zhibo Chen

Uncertainty-Aware Few-Shot Image Classification

2020 · arXiv (Cornell University)

Few-shot image classification learns to recognize new categories from limited labelled data. Metric learning based approaches have been widely investigated, where a query sample is classified by finding the nearest prototype from the support set …

Rethinking Domain Adaptation and Generalization in the Era of CLIP

2024 · arXiv (Cornell University)

In recent studies on domain adaptation, significant emphasis has been placed on the advancement of learning shared knowledge from a source domain to a target domain. Recently, the large vision-language pre-trained model, i.e., CLIP has …

Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation

2018 · Neural Information Processing Systems

Neural Machine Translation (NMT) has achieved remarkable progress with the quick evolvement of model structures. In this paper, we propose the concept of layer-wise coordination for NMT, which explicitly coordinates the learning of hidden representations …