Search Results for author:
Found 4 papers, 1 papers with code
Representing Hierarchical Structure by Using Cone Embedding
Graph embedding is becoming an important method with applications in various areas, including social networks and knowledge graph completion.
Why is the Mahalanobis Distance Effective for Anomaly Detection?
This suggests that the reason the Mahalanobis confidence score works so well is mistaken, and makes use of different information from ODIN, another popular OoD detection method based on prediction confidence.
Likelihood Assignment for Out-of-Distribution Inputs in Deep Generative Models is Sensitive to Prior Distribution Choice
This paper focuses on the relationship between the choice of a prior distribution and the likelihoods assigned to out-of-distribution inputs.
Revisiting the Vector Space Model: Sparse Weighted Nearest-Neighbor Method for Extreme Multi-Label Classification
Finally, we show that the Sparse Weighted Nearest-Neighbor Method can process data points in real time on XMLC datasets with equivalent performance to SOTA models, with a single thread and smaller storage footprint.
BIG-bench Machine Learning
Extreme Multi-Label Classification
+3
