575 citations · 712 across the 6 of their papers we have counts for
7 papers
Extracting Scientific Figures with Distantly Supervised Neural Networks
Noah Siegel, Nicholas Lourie, Russell Power +1
Non-textual components such as charts, diagrams and tables provide key information in many scientific documents, but the lack of large labeled datasets has impeded the development…
Content-Based Citation Recommendation
Chandra Bhagavatula, Sergey Feldman, Russell Power +1
We present a content-based method for recommending citations in an academic paper draft. We embed a given query document into a vector space, then use its nearest neighbors as cand…
End-to-End Neural Ad-hoc Ranking with Kernel Pooling
Chenyan Xiong, Zhuyun Dai, Jamie Callan +2
This paper proposes K-NRM, a kernel based neural model for document ranking. Given a query and a set of documents, K-NRM uses a translation matrix that models word-level similariti…
Semi-supervised sequence tagging with bidirectional language models
Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula +1
Pre-trained word embeddings learned from unlabeled text have become a standard component of neural network architectures for NLP tasks. However, in most cases, the recurrent networ…
How fast can we make interpreted Python?
Russell Power, Alex Rubinsteyn
Python is a popular dynamic language with a large part of its appeal coming from powerful libraries and extension modules. These augment the language and make it a productive envir…
Using Memory-Protection to Simplify Zero-copy Operations
Russell Power
High performance networks (e.g. Infiniband) rely on zero-copy operations for performance. Zero-copy operations, as the name implies, avoid copying buffers for sending and receiving…