6 citations · 11 across the 4 of their papers we have counts for
4 papers
Learning fine-grained search space pruning and heuristics for combinatorial optimization
Juho Lauri, Sourav Dutta, Marco Grassia +1
Combinatorial optimization problems arise in a wide range of applications from diverse domains. Many of these problems are NP-hard and designing efficient heuristics for them requi…
Whatcha lookin' at? DeepLIFTing BERT's Attention in Question Answering
Ekaterina Arkhangelskaia, Sourav Dutta
There has been great success recently in tackling challenging NLP tasks by neural networks which have been pre-trained and fine-tuned on large amounts of task data. In this paper,…
Mapping Supervised Bilingual Word Embeddings from English to low-resource languages
Sourav Dutta
It is very challenging to work with low-resource languages due to the inadequate availability of data. Using a dictionary to map independently trained word embeddings into a shared…
Fine-grained Search Space Classification for Hard Enumeration Variants of Subset Problems
Juho Lauri, Sourav Dutta
We propose a simple, powerful, and flexible machine learning framework for (i) reducing the search space of computationally difficult enumeration variants of subset problems and (i…