Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware
Regression

Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression

25 March 2021

Jie Zhou

Papers citing "Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression"

10 / 10 papers shown

Title
Dual-level Fuzzy Learning with Patch Guidance for Image Ordinal Regression Chunlai Dong Haochao Ying Qibo Qiu Jinhong Wang D. Z. Chen J. Wu 27 0 0 09 May 2025
Beyond the Horizon: Decoupling UAVs Multi-View Action Recognition via Partial Order Transfer Wenxuan Liu X. Zhong Zhuo Zhou S. Yang Chia-Wen Lin Alex Chichung Kot 32 0 0 29 Apr 2025
CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss D. Pitawela Gustavo Carneiro Hsiang-Ting Chen 41 0 0 22 Apr 2025
RICA2: Rubric-Informed, Calibrated Assessment of Actions Abrar Majeedi Viswanatha Reddy Gajjala Satya Sai Srinath Namburi Gnvv Yin Li CML 24 2 0 04 Aug 2024
FaceXFormer: A Unified Transformer for Facial Analysis Kartik Narayan VS Vibashan Rama Chellappa Vishal M. Patel ViT 48 11 0 19 Mar 2024
Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition Marco Huber Philipp Terhörst Florian Kirchbuchner Naser Damer Arjan Kuijper CVBM 11 11 0 19 Oct 2022
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition M. Tellamekala Shahin Amiriparian Björn W. Schuller Elisabeth André T. Giesbrecht M. Valstar 16 25 0 12 Jun 2022
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates Lingkai Kong Jimeng Sun Chao Zhang UQCV 42 101 0 24 Aug 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015