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Found 4 papers, 0 papers with code
Personalized Detection of Cognitive Biases in Actions of Users from Their Logs: Anchoring and Recency Biases
The recognition of cognitive bias in computer science is largely in the domain of information retrieval, and bias is identified at an aggregate level with the help of annotated data.
Botcha: Detecting Malicious Non-Human Traffic in the Wild
Malicious bots make up about a quarter of all traffic on the web, and degrade the performance of personalization and recommendation algorithms that operate on e-commerce sites.
Split: Inferring Unobserved Event Probabilities for Disentangling Brand-Customer Interactions
This paper takes a direct approach whereby an event of interest is identified based on information on the composite event and aggregate data on composite events (e. g. total number of search ads shown).
ELF: An Early-Exiting Framework for Long-Tailed Classification
The natural world often follows a long-tailed data distribution where only a few classes account for most of the examples.
Ranked #40 on
Long-tail Learning
on CIFAR-10-LT (ρ=10)
