conftrace_
← Keywords

ordinal regression

82 papers

Explore in graph

Also known as

OR

Co-occurring keywords

text classification (6776) deep learning (2111) age estimation (38) ordinal classification (59) convolutional neural network (4216) transformer model (1988) transfer learning (5442) data augmentation (3037) support vector machine (976) multi-task learning (2556)

Papers

Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation NIPS 2023
An Ordinal Latent Variable Model of Conflict Intensity ACL 2023
Learning Economic Indicators by Aggregating Multi-Level Geospatial Information AAAI 2022
Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression NAACL 2022
A Simple Log-based Loss Function for Ordinal Text Classification COLING 2022
Moving Window Regression: A Novel Approach to Ordinal Regression CVPR 2022
OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression NIPS 2022
Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression SEMEVAL 2022
Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression CVPR 2022
Enhancing Automatic Readability Assessment with Pre-training and Soft Labels for Ordinal Regression EMNLP 2022
Pairwise Fairness for Ordinal Regression AISTATS 2022
LARGE: Latent-Based Regression Through GAN Semantics CVPR 2022
PML: Progressive Margin Loss for Long-Tailed Age Classification CVPR 2021
Error-Sensitive Evaluation for Ordinal Target Variables EMNLP 2021
Order Regularization on Ordinal Loss for Head Pose, Age and Gaze Estimation AAAI 2021
Grenzlinie at SemEval-2021 Task 7: Detecting and Rating Humor and Offense ACL 2021
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression CVPR 2021
Robust Deep Ordinal Regression under Label Noise ACML 2020
Learning to Autofocus CVPR 2020
Ordinal Non-negative Matrix Factorization for Recommendation ICML 2020
How Ordinal Are Your Data? INTERSPEECH 2020
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization AAAI 2020
Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection CVPR 2020
Geometric Losses for Distributional Learning ICML 2019
Instance-Level Future Motion Estimation in a Single Image Based on Ordinal Regression ICCV 2019