327 citations · 726 across the 29 of their papers we have counts for
6 papers · 1 filter
Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors
Yedid Hoshen, Jitendra Malik
Unconditional image generation has recently been dominated by generative adversarial networks (GANs). GAN methods train a generator which regresses images from random noise vectors…
Towards Unsupervised Single-Channel Blind Source Separation using Adversarial Pair Unmix-and-Remix
Yedid Hoshen
Blind single-channel source separation is a long standing signal processing challenge. Many methods were proposed to solve this task utilizing multiple signal priors such as low ra…
Neural separation of observed and unobserved distributions
Tavi Halperin, Ariel Ephrat, Yedid Hoshen
Separating mixed distributions is a long standing challenge for machine learning and signal processing. Most current methods either rely on making strong assumptions on the source…
NAM: Non-Adversarial Unsupervised Domain Mapping
Yedid Hoshen, Lior Wolf
Several methods were recently proposed for the task of translating images between domains without prior knowledge in the form of correspondences. The existing methods apply adversa…
Unsupervised Correlation Analysis
Yedid Hoshen, Lior Wolf
Linking between two data sources is a basic building block in numerous computer vision problems. In this paper, we set to answer a fundamental cognitive question: are prior corresp…
Non-Adversarial Unsupervised Word Translation
Yedid Hoshen, Lior Wolf
Unsupervised word translation from non-parallel inter-lingual corpora has attracted much research interest. Very recently, neural network methods trained with adversarial loss func…