79 citations · 115 across the 4 of their papers we have counts for
4 papers
Reinforcement Learning for Datacenter Congestion Control
Chen Tessler, Yuval Shpigelman, Gal Dalal +5
We approach the task of network congestion control in datacenters using Reinforcement Learning (RL). Successful congestion control algorithms can dramatically improve latency and o…
Distance-based Confidence Score for Neural Network Classifiers
Amit Mandelbaum, Daphna Weinshall
The reliable measurement of confidence in classifiers' predictions is very important for many applications and is, therefore, an important part of classifier design. Yet, although…
Every Untrue Label is Untrue in its Own Way: Controlling Error Type with the Log Bilinear Loss
Yehezkel S. Resheff, Amit Mandelbaum, Daphna Weinshall
Deep learning has become the method of choice in many application domains of machine learning in recent years, especially for multi-class classification tasks. The most common loss…
Word Embeddings and Their Use In Sentence Classification Tasks
Amit Mandelbaum, Adi Shalev
This paper have two parts. In the first part we discuss word embeddings. We discuss the need for them, some of the methods to create them, and some of their interesting properties.…