164 citations · 430 across the 25 of their papers we have counts for
4 papers · 1 filter
Redesigning the classification layer by randomizing the class representation vectors
Gabi Shalev, Gal-Lev Shalev, Joseph Keshet
Neural image classification models typically consist of two components. The first is an image encoder, which is responsible for encoding a given raw image into a representative vec…
Fairness in the Eyes of the Data: Certifying Machine-Learning Models
Shahar Segal, Yossi Adi, Benny Pinkas +3
We present a framework that allows to certify the fairness degree of a model based on an interactive and privacy-preserving test. The framework verifies any trained model, regardle…
Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation
Felix Kreuk, Joseph Keshet, Yossi Adi
We propose a self-supervised representation learning model for the task of unsupervised phoneme boundary detection. The model is a convolutional neural network that operates direct…
Phoneme Boundary Detection using Learnable Segmental Features
Felix Kreuk, Yaniv Sheena, Joseph Keshet +1
Phoneme boundary detection plays an essential first step for a variety of speech processing applications such as speaker diarization, speech science, keyword spotting, etc. In this…