45 citations · 184 across the 37 of their papers we have counts for
5 papers · 1 filter
Open-World Class Discovery with Kernel Networks
Zifeng Wang, Batool Salehi, Andrey Gritsenko +3
We study an Open-World Class Discovery problem in which, given labeled training samples from old classes, we need to discover new classes from unlabeled test samples. There are two…
Learn-Prune-Share for Lifelong Learning
Zifeng Wang, Tong Jian, Kaushik Chowdhury +3
In lifelong learning, we wish to maintain and update a model (e.g., a neural network classifier) in the presence of new classification tasks that arrive sequentially. In this paper…
Bandits Under The Influence (Extended Version)
Silviu Maniu, Stratis Ioannidis, Bogdan Cautis
Recommender systems should adapt to user interests as the latter evolve. A prevalent cause for the evolution of user interests is the influence of their social circle. In general,…
DeepFIR: Addressing the Wireless Channel Action in Physical-Layer Deep Learning
Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka +3
Deep learning can be used to classify waveform characteristics (e.g., modulation) with accuracy levels that are hardly attainable with traditional techniques. Recent research has d…
Hacking the Waveform: Generalized Wireless Adversarial Deep Learning
Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka +4
This paper advances the state of the art by proposing the first comprehensive analysis and experimental evaluation of adversarial learning attacks to wireless deep learning systems…