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Found 6 papers, 0 papers with code
An Exploration of Approaches to Integrating Neural Reranking Models in Multi-Stage Ranking Architectures
Therefore, we can extract the parameters of a trained CNN from PyTorch and import the model into Java, taking advantage of the Java Deeplearning4J library for feedforward evaluation.
Talking to Your TV: Context-Aware Voice Search with Hierarchical Recurrent Neural Networks
We tackle the novel problem of navigational voice queries posed against an entertainment system, where viewers interact with a voice-enabled remote controller to specify the program to watch.
Distant Supervision for Topic Classification of Tweets in Curated Streams
We tackle the challenge of topic classification of tweets in the context of analyzing a large collection of curated streams by news outlets and other organizations to deliver relevant content to users.
Efficient and Effective Tail Latency Minimization in Multi-Stage Retrieval Systems
In this work, we propose and validate a unified framework that can be used to predict a wide range of performance-sensitive parameters which minimize effectiveness loss, while simultaneously minimizing query latency, across all stages of a multi-stage search architecture.
Ten Blue Links on Mars
This paper explores a simple question: How would we provide a high-quality search experience on Mars, where the fundamental physical limit is speed-of-light propagation delays on the order of tens of minutes?
Evaluation-as-a-Service: Overview and Outlook
This white paper summarizes several existing approaches to EaaS and analyzes their usage scenarios and also the advantages and disadvantages.
