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Chenshen Wu

2 accepted papers

2018

Memory Replay GANs: Learning to Generate New Categories without Forgetting

NeurIPS 2018poster

Previous works on sequential learning address the problem of forgetting in discriminative models. In this paper we consider the case of generative models. In particular, we investigate generative adversarial networks (GANs) in the task of learning new categories in a sequential fashion. We first sho…

2018

Transferring GANs: generating images from limited data

ECCV 2018poster

Transferring the knowledge of pretrained networks to new domains by means of finetuning is a widely used practice for applications based on discriminative models. To the best of our knowledge this practice has not been studied within the context of generative deep networks. Therefore, we study domai…