82 citations · 175 across the 38 of their papers we have counts for
6 papers · 1 filter
NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks
Fahim Dalvi, Avery Nortonsmith, D. Anthony Bau +4
We present a toolkit to facilitate the interpretation and understanding of neural network models. The toolkit provides several methods to identify salient neurons with respect to t…
What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models
Fahim Dalvi, Nadir Durrani, Hassan Sajjad +3
Despite the remarkable evolution of deep neural networks in natural language processing (NLP), their interpretability remains a challenge. Previous work largely focused on what the…
Identifying and Controlling Important Neurons in Neural Machine Translation
Anthony Bau, Yonatan Belinkov, Hassan Sajjad +3
Neural machine translation (NMT) models learn representations containing substantial linguistic information. However, it is not clear if such information is fully distributed or if…
Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation
Fahim Dalvi, Nadir Durrani, Hassan Sajjad +1
We address the problem of simultaneous translation by modifying the Neural MT decoder to operate with dynamically built encoder and attention. We propose a tunable agent which deci…
Continuous Space Reordering Models for Phrase-based MT
Nadir Durrani, Fahim Dalvi
Bilingual sequence models improve phrase-based translation and reordering by overcoming phrasal independence assumption and handling long range reordering. However, due to data spa…
Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks
Yonatan Belinkov, Lluís Màrquez, Hassan Sajjad +3
While neural machine translation (NMT) models provide improved translation quality in an elegant, end-to-end framework, it is less clear what they learn about language. Recent work…