143 citations · 144 across the 3 of their papers we have counts for
3 papers
cs.LG2021
An Exploration into why Output Regularization Mitigates Label Noise
Neta Shoham, Tomer Avidor, Nadav Israel
Label noise presents a real challenge for supervised learning algorithms. Consequently, mitigating label noise has attracted immense research in recent years. Noise robust losses i…
cs.LG2019★ 143 cited
Overcoming Forgetting in Federated Learning on Non-IID Data
Neta Shoham, Tomer Avidor, Aviv Keren +4
We tackle the problem of Federated Learning in the non i.i.d. case, in which local models drift apart, inhibiting learning. Building on an analogy with Lifelong Learning, we adapt…
cs.CV2017★ 1 cited
Robust features for facial action recognition
Nadav Israel, Lior Wolf, Ran Barzilay +1
Automatic recognition of facial gestures is becoming increasingly important as real world AI agents become a reality. In this paper, we present an automated system that recognizes…