150 citations · 488 across the 33 of their papers we have counts for
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cs.CL2021
The Grammar-Learning Trajectories of Neural Language Models
Leshem Choshen, Guy Hacohen, Daphna Weinshall +1
The learning trajectories of linguistic phenomena in humans provide insight into linguistic representation, beyond what can be gleaned from inspecting the behavior of an adult spea…
cs.LG2021★ 3 cited
Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks
Guy Hacohen, Daphna Weinshall
Recent work suggests that convolutional neural networks of different architectures learn to classify images in the same order. To understand this phenomenon, we revisit the over-pa…
cs.LG2021
More Is More -- Narrowing the Generalization Gap by Adding Classification Heads
Roee Cates, Daphna Weinshall
Overfit is a fundamental problem in machine learning in general, and in deep learning in particular. In order to reduce overfit and improve generalization in the classification of…