Co-occurring keywords · papers mentioning both
Papers
Learning to Autofocus
CVPR 2020
Ordinal Non-negative Matrix Factorization for Recommendation
ICML 2020
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization
AAAI 2020
Robust Deep Ordinal Regression under Label Noise
ACML 2020
Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection
CVPR 2020
Deep Ordinal Regression for Pledge Specificity Prediction
EMNLP 2019
Geometric Losses for Distributional Learning
ICML 2019
Instance-Level Future Motion Estimation in a Single Image Based on Ordinal Regression
ICCV 2019
Learning With Unsure Data for Medical Image Diagnosis
ICCV 2019
Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media
NAACL 2019
ORCA: A Matlab/Octave Toolbox for Ordinal Regression
JMLR 2019
Ordinal Triplet Loss: Investigating Sleepiness Detection from Speech
Interspeech 2019
Probabilistic Deep Ordinal Regression Based on Gaussian Processes
ICCV 2019
Soft Labels for Ordinal Regression
CVPR 2019
Structured Prediction with Projection Oracles
NeurIPS 2019
A Constrained Deep Neural Network for Ordinal Regression
CVPR 2018
Bilateral Ordinal Relevance Multi-Instance Regression for Facial Action Unit Intensity Estimation
CVPR 2018
Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model
ACL 2018
Deep Ordinal Regression Network for Monocular Depth Estimation
CVPR 2018
Adversarial Surrogate Losses for Ordinal Regression
NeurIPS 2017
Deep Ordinal Regression Based on Data Relationship for Small Datasets
IJCAI 2017
Deep Structured Learning for Facial Action Unit Intensity Estimation
CVPR 2017
Earth Mover's Distance Pooling over Siamese LSTMs for Automatic Short Answer Grading
IJCAI 2017
Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding
CoNLL 2017
Multi-output Polynomial Networks and Factorization Machines
NeurIPS 2017