50 citations · 76 across the 10 of their papers we have counts for
4 papers · 1 filter
A Constructive Prediction of the Generalization Error Across Scales
Jonathan S. Rosenfeld, Amir Rosenfeld, Yonatan Belinkov +1
The dependency of the generalization error of neural networks on model and dataset size is of critical importance both in practice and for understanding the theory of neural networ…
Bridging Cognitive Programs and Machine Learning
Amir Rosenfeld, John K. Tsotsos
While great advances are made in pattern recognition and machine learning, the successes of such fields remain restricted to narrow applications and seem to break down when trainin…
Challenging Images For Minds and Machines
Amir Rosenfeld, John K. Tsotsos
There is no denying the tremendous leap in the performance of machine learning methods in the past half-decade. Some might even say that specific sub-fields in pattern recognition,…
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing
Amir Rosenfeld, John K. Tsotsos
Training deep neural networks results in strong learned representations that show good generalization capabilities. In most cases, training involves iterative modification of all w…