Igeood: An Information Geometry Approach to Out-of-Distribution Detection

15 March 2022

Papers citing "Igeood: An Information Geometry Approach to Out-of-Distribution Detection"

9 / 9 papers shown

Title
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models Mengyuan Chen Junyu Gao Changsheng Xu VLM OODD 30 0 0 11 Oct 2024
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection Eduardo Dadalto F. Alberge Pierre Duhamel Pablo Piantanida OODD 45 0 0 23 Jun 2024
Toward Stronger Textual Attack Detectors Pierre Colombo Marine Picot Nathan Noiry Guillaume Staerman Pablo Piantanida 38 5 0 21 Oct 2023
Beyond Mahalanobis-Based Scores for Textual OOD Detection Pierre Colombo Eduardo Dadalto Camara Gomes Guillaume Staerman Nathan Noiry Pablo Piantanida OODD 41 5 0 24 Nov 2022
The Fisher-Rao Loss for Learning under Label Noise Henrique K. Miyamoto Fábio C. C. Meneghetti Sueli I. R. Costa NoLa 15 5 0 28 Oct 2022
Discovering Distribution Shifts using Latent Space Representations Leo Betthauser Urszula Chajewska M. Diesendruck Rohith Pesala OOD 16 5 0 04 Feb 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 875 0 21 Oct 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,104 0 27 Apr 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016