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Papers
A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
ICML 2025
Image-Level Regression for Uncertainty-Aware Retinal Image Segmentation
WACV 2025
A Measure for Transparent Comparison of Linguistic Diversity in Multilingual NLP Data Sets
NAACL 2024
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
NeurIPS 2023
Learning Generalized Intersection Over Union for Dense Pixelwise Prediction
ICML 2021
Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification
AISTATS 2020
Precise Detection in Densely Packed Scenes
CVPR 2019
The Lovász-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks
CVPR 2018
Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach
NeurIPS 2015