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Found 10 papers, 2 papers with code
Logit Attenuating Weight Normalization
Over-parameterized deep networks trained using gradient-based optimizers are a popular choice for solving classification and ranking problems.
Efficient Vertex-Oriented Polytopic Projection for Web-scale Applications
We develop an intuition guided by theoretical and empirical analysis to show that when these instances follow certain structures, a large majority of the projections lie on vertices of the polytopes.
Lambda Learner: Fast Incremental Learning on Data Streams
One of the most well-established applications of machine learning is in deciding what content to show website visitors.
An Attentive Survey of Attention Models
This survey provides a structured and comprehensive overview of the developments in modeling attention.
Towards Deep and Representation Learning for Talent Search at LinkedIn
In this paper, we present the results of our application of deep and representation learning models on LinkedIn Recruiter.
Deploying Deep Ranking Models for Search Verticals
In this paper, we present an architecture executing a complex machine learning model such as a neural network capturing semantic similarity between a query and a document; and deploy to a real-world production system serving 500M+users.
