no code implementations • 20 Sep 2023 • Avihu Dekel, Slava Shechtman, Raul Fernandez, David Haws, Zvi Kons, Ron Hoory
Experimental results show that LLM2Speech maintains the teacher's quality while reducing the latency to enable natural conversations.
1 code implementation • 23 May 2022 • Ofer Yehuda, Avihu Dekel, Guy Hacohen, Daphna Weinshall
Deep active learning aims to reduce the annotation cost for the training of deep models, which is notoriously data-hungry.
1 code implementation • 6 Feb 2022 • Guy Hacohen, Avihu Dekel, Daphna Weinshall
Investigating active learning, we focus on the relation between the number of labeled examples (budget size), and suitable querying strategies.
Ranked #1 on Active Learning on CIFAR10 (10,000)