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Found 5 papers, 3 papers with code
Where Did the President Visit Last Week? Detecting Celebrity Trips from News Articles
Although news articles contain travel information of celebrities, it is not possible to perform large-scale and network-wise analysis due to the lack of automatic itinerary detection tools.
Boundary Unlearning
In this paper, we refocus our attention from the parameter space to the decision space of the DNN model, and propose Boundary Unlearning, a rapid yet effective way to unlearn an entire class from a trained DNN model.
For the Underrepresented in Gender Bias Research: Chinese Name Gender Prediction with Heterogeneous Graph Attention Network
We open-source a more balanced multi-character dataset from an official source together with our code, hoping to help future research promoting gender equality.
Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary
In this paper, we refocus our attention from the parameter space to the decision space of the DNN model, and propose Boundary Unlearning, a rapid yet effective way to unlearn an entire class from a trained DNN model.
Logistic-ELM: A Novel Fault Diagnosis Method for Rolling Bearings
In this paper, considering both requirements, we propose a novel fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping, named logistic-ELM.
