Neural network (NN) compression via techniques such as pruning, quantiza...
Deep Neural Networks are known to be brittle to even minor distribution
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We consider the problem of OOD generalization, where the goal is to trai...
In several real world applications, machine learning models are deployed...
Recently, unsupervised parsing of syntactic trees has gained considerabl...
Various Neural Networks employ time-consuming matrix operations like mat...
Recent works demonstrate the texture bias in Convolutional Neural Networ...