142 citations · 282 across the 14 of their papers we have counts for
3 papers · 1 filter
A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition
Ayush Srivastava, Oshin Dutta, Prathosh AP +2
In the last few years, compression of deep neural networks has become an important strand of machine learning and computer vision research. Deep models require sizeable computation…
Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?
Hritik Bansal, Gantavya Bhatt, Sumeet Agarwal
Previous work suggests that RNNs trained on natural language corpora can capture number agreement well for simple sentences but perform less well when sentences contain agreement a…
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies?
Gantavya Bhatt, Hritik Bansal, Rishubh Singh +1
Long short-term memory (LSTM) networks and their variants are capable of encapsulating long-range dependencies, which is evident from their performance on a variety of linguistic t…