248 citations · 710 across the 48 of their papers we have counts for
4 papers · 1 filter
Communication Efficient Distributed Learning over Wireless Channels
Idan Achituve, Wenbo Wang, Ethan Fetaya +1
Vertical distributed learning exploits the local features collected by multiple learning workers to form a better global model. However, the exchange of data between the workers an…
A Study on the Evaluation of Generative Models
Eyal Betzalel, Coby Penso, Aviv Navon +1
Implicit generative models, which do not return likelihood values, such as generative adversarial networks and diffusion models, have become prevalent in recent years. While it is…
Functional Ensemble Distillation
Coby Penso, Idan Achituve, Ethan Fetaya
Bayesian models have many desirable properties, most notable is their ability to generalize from limited data and to properly estimate the uncertainty in their predictions. However…
Multi-Task Learning as a Bargaining Game
Aviv Navon, Aviv Shamsian, Idan Achituve +4
In Multi-task learning (MTL), a joint model is trained to simultaneously make predictions for several tasks. Joint training reduces computation costs and improves data efficiency;…