research
∙
06/13/2023
Online Matching in Geometric Random Graphs
In online advertisement, ad campaigns are sequentially displayed to user...
share
research
∙
06/06/2023
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection
A key feature of out-of-distribution (OOD) detection is to exploit a tra...
research
∙
05/17/2023
Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks
The evaluation of natural language processing (NLP) systems is crucial f...
research
∙
11/24/2022
Beyond Mahalanobis-Based Scores for Textual OOD Detection
Deep learning methods have boosted the adoption of NLP systems in real-l...
research
∙
10/24/2022
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model
In spite of the high performance and reliability of deep learning algori...
research
∙
08/31/2022
The Glass Ceiling of Automatic Evaluation in Natural Language Generation
Automatic evaluation metrics capable of replacing human judgments are cr...
research
∙
05/07/2022
Learning Disentangled Textual Representations via Statistical Measures of Similarity
When working with textual data, a natural application of disentangled re...
research
∙
02/08/2022
What are the best systems? New perspectives on NLP Benchmarking
In Machine Learning, a benchmark refers to an ensemble of datasets assoc...
research
∙
09/20/2021
Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics
The ability to collect and store ever more massive databases has been ac...
research
∙
07/02/2021