150 citations · 488 across the 33 of their papers we have counts for
4 papers · 1 filter
Multi-Modal Deep Clustering: Unsupervised Partitioning of Images
Guy Shiran, Daphna Weinshall
The clustering of unlabeled raw images is a daunting task, which has recently been approached with some success by deep learning methods. Here we propose an unsupervised clustering…
On The Power of Curriculum Learning in Training Deep Networks
Guy Hacohen, Daphna Weinshall
Training neural networks is traditionally done by providing a sequence of random mini-batches sampled uniformly from the entire training data. In this work, we analyze the effect o…
Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets
Guy Hacohen, Leshem Choshen, Daphna Weinshall
We report a series of robust empirical observations, demonstrating that deep Neural Networks learn the examples in both the training and test sets in a similar order. This phenomen…
Blurred Images Lead to Bad Local Minima
Gal Katzhendler, Daphna Weinshall
Blurred Images Lead to Bad Local Minima