Search Results for author:
Found 2 papers, 1 papers with code
Distilled Neural Networks for Efficient Learning to Rank
Moreover, by studying both dense and sparse high performance matrix multiplication, we develop a scoring time prediction model which helps in devising neural network architectures that match the desired efficiency requirements.
Ranked #1 on
Information Retrieval
on MSLR-WEB30K
Topic Propagation in Conversational Search
In a conversational context, a user expresses her multi-faceted information need as a sequence of natural-language questions, i. e., utterances.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
