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"

35 / 35 papers shown

Title
Probabilistic Language-Image Pre-Training Sanghyuk Chun Wonjae Kim Song Park Sangdoo Yun MLLM VLM CLIP 283 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 60 7 0 28 Jun 2024
What Can We Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers Ido Galil Mohammed Dabbah Ran El-Yaniv UQCV 38 26 0 23 Feb 2023
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 213 11 0 03 Jan 2023
Disentanglement of Correlated Factors via Hausdorff Factorized Support Karsten Roth Mark Ibrahim Zeynep Akata Pascal Vincent Diane Bouchacourt CML OOD CoGe 41 33 0 13 Oct 2022
Uncertainty in Contrastive Learning: On the Predictability of Downstream Performance Shervin Ardeshir Navid Azizan SSL UQCV 57 9 0 19 Jul 2022
Plex: Towards Reliability using Pretrained Large Model Extensions Dustin Tran J. Liu Michael W. Dusenberry Du Phan Mark Collier ... D. Sculley Y. Gal Zoubin Ghahramani Jasper Snoek Balaji Lakshminarayanan VLM 44 126 0 15 Jul 2022
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation Lars Schmarje Vasco Grossmann Claudius Zelenka S. Dippel R. Kiko ... M. Pastell J. Stracke A. Valros N. Volkmann Reinahrd Koch 58 36 0 13 Jul 2022
A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning Michael Kirchhof Karsten Roth Zeynep Akata Enkelejda Kasneci 35 12 0 08 Jul 2022
Probabilistic Compositional Embeddings for Multimodal Image Retrieval Andrei Neculai Yanbei Chen Zeynep Akata CoGe 52 31 0 12 Apr 2022
ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO Sanghyuk Chun Wonjae Kim Song Park Minsuk Chang Seong Joon Oh VLM 406 43 0 07 Apr 2022
Probabilistic Embeddings Revisited I. Karpukhin Stanislav Dereka Sergey Kolesnikov UQCV AAML 24 10 0 14 Feb 2022
Revisiting the Transferability of Supervised Pretraining: an MLP Perspective Yizhou Wang Shixiang Tang Feng Zhu Lei Bai Rui Zhao Donglian Qi Wanli Ouyang 49 52 0 01 Dec 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning Tyler R. Scott Andrew C. Gallagher Michael C. Mozer 39 39 0 29 Mar 2021
A Broad Study on the Transferability of Visual Representations with Contrastive Learning Ashraful Islam Chun-Fu Chen Yikang Shen Leonid Karlinsky Richard J. Radke Rogerio Feris SSL 47 113 0 24 Mar 2021
MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation Hansheng Chen Yuyao Huang Wei Tian Zhong Gao Lu Xiong 38 134 0 23 Mar 2021
Contrastive Learning Inverts the Data Generating Process Roland S. Zimmermann Yash Sharma Steffen Schneider Matthias Bethge Wieland Brendel SSL 247 213 0 17 Feb 2021
Probabilistic Embeddings for Cross-Modal Retrieval Sanghyuk Chun Seong Joon Oh Rafael Sampaio de Rezende Yannis Kalantidis Diane Larlus UQCV 431 203 0 13 Jan 2021
Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings Brett D. Roads Bradley C. Love 3DH 29 40 0 22 Nov 2020
A Simple Framework for Uncertainty in Contrastive Learning Mike Wu Noah D. Goodman UQCV 35 18 0 05 Oct 2020
Face Image Quality Assessment: A Literature Survey Torsten Schlett Christian Rathgeb O. Henniger Javier Galbally Julian Fierrez Christoph Busch CVBM 33 128 0 02 Sep 2020
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere Tongzhou Wang Phillip Isola SSL 50 1,799 0 20 May 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 82 4,476 0 23 Apr 2020
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis Eu Wern Teh Terrance Devries Graham W. Taylor 30 156 0 02 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 83 18,523 0 13 Feb 2020
Human uncertainty makes classification more robust Joshua C. Peterson Ruairidh M. Battleday Thomas Griffiths Olga Russakovsky OOD 8 298 0 19 Aug 2019
Uncertainty Estimation in One-Stage Object Detection Florian Kraus Klaus C. J. Dietmayer UQCV 21 83 0 24 May 2019
On Variational Bounds of Mutual Information Ben Poole Sherjil Ozair Aaron van den Oord Alexander A. Alemi George Tucker SSL 33 801 0 16 May 2019
Probabilistic Face Embeddings Yichun Shi Anil K. Jain CVBM 29 308 0 21 Apr 2019
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 136 10,106 0 10 Jul 2018
Hyperspherical Variational Auto-Encoders Tim R. Davidson Luca Falorsi Nicola De Cao Thomas Kipf Jakub M. Tomczak DRL BDL 45 381 0 03 Apr 2018
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 161 4,656 0 15 Mar 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 660 192,387 0 10 Dec 2015
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 154 1,236 0 01 Sep 2015
On the use of marginal posteriors in marginal likelihood estimation via importance-sampling K. Perrakis I. Ntzoufras E. Tsionas 45 67 0 04 Nov 2013