Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs

6 February 2023

Papers citing "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs"

7 / 7 papers shown

Title
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review Toghrul Abbasli Kentaroh Toyoda Yuan Wang Leon Witt Muhammad Asif Ali Yukai Miao Dan Li Qingsong Wei UQCV 92 0 0 25 Apr 2025
On the Generalization of Representation Uncertainty in Earth Observation Spyros Kondylatos N. Bountos Dimitrios Michail Xiao Xiang Zhu Gustau Camps-Valls Ioannis Papoutsis 74 1 0 10 Mar 2025
Probabilistic Language-Image Pre-Training Sanghyuk Chun Wonjae Kim Song Park Sangdoo Yun MLLM VLM CLIP 132 4 2 24 Oct 2024
InfoNCE: Identifying the Gap Between Theory and Practice E. Rusak Patrik Reizinger Attila Juhos Oliver Bringmann Roland S. Zimmermann Wieland Brendel 33 5 0 28 Jun 2024
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise H. A. Mehrtens Alexander Kurz Tabea-Clara Bucher T. Brinker OOD UQCV 189 11 0 03 Jan 2023
Contrastive Learning Inverts the Data Generating Process Roland S. Zimmermann Yash Sharma Steffen Schneider Matthias Bethge Wieland Brendel SSL 238 207 0 17 Feb 2021
Probabilistic Embeddings for Cross-Modal Retrieval Sanghyuk Chun Seong Joon Oh Rafael Sampaio de Rezende Yannis Kalantidis Diane Larlus UQCV 401 200 0 13 Jan 2021