584 citations · 708 across the 14 of their papers we have counts for
4 papers · 1 filter
Optimizing speed/accuracy trade-off for person re-identification via knowledge distillation
Idoia Ruiz, Bogdan Raducanu, Rakesh Mehta +1
Finding a person across a camera network plays an important role in video surveillance. For a real-world person re-identification application, in order to guarantee an optimal time…
Memory Replay GANs: learning to generate images from new categories without forgetting
Chenshen Wu, Luis Herranz, Xialei Liu +3
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 investi…
Measuring Semantic Abstraction of Multilingual NMT with Paraphrase Recognition and Generation Tasks
Jörg Tiedemann, Yves Scherrer
In this paper, we investigate whether multilingual neural translation models learn stronger semantic abstractions of sentences than bilingual ones. We test this hypotheses by measu…
Transferring GANs: generating images from limited data
Yaxing Wang, Chenshen Wu, Luis Herranz +3
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 ou…