ordinal regression

Exploring a classification approach using quantised articulatory movements for acoustic to articulatory inversion Interspeech 2023 Exploring a New Grammatico-functional Type of Measure as Part of a Language Learning Expert System ACL 2023 Improving Deep Regression with Ordinal Entropy ICLR 2023 Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction ICCV 2023 Ordinal Label Distribution Learning ICCV 2023 Predicting Rare Events by Shrinking Towards Proportional Odds ICML 2023 Query-aware Multi-modal based Ranking Relevance in Video Search EMNLP 2023 Robust Image Ordinal Regression with Controllable Image Generation IJCAI 2023 Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation NeurIPS 2023 Sentiment as an Ordinal Latent Variable EACL 2023 ZBL2W at SemEval-2023 Task 9: A Multilingual Fine-tuning Model with Data Augmentation for Tweet Intimacy Analysis SemEval 2023 A Simple Log-based Loss Function for Ordinal Text Classification COLING 2022 Enhancing Automatic Readability Assessment with Pre-training and Soft Labels for Ordinal Regression EMNLP 2022 LARGE: Latent-Based Regression Through GAN Semantics CVPR 2022 Learning Economic Indicators by Aggregating Multi-Level Geospatial Information AAAI 2022 Moving Window Regression: A Novel Approach to Ordinal Regression CVPR 2022 Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression SemEval 2022 OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression NeurIPS 2022 Pairwise Fairness for Ordinal Regression AISTATS 2022 Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression CVPR 2022 Error-Sensitive Evaluation for Ordinal Target Variables EMNLP 2021 Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression CVPR 2021 Order Regularization on Ordinal Loss for Head Pose, Age and Gaze Estimation AAAI 2021 PML: Progressive Margin Loss for Long-Tailed Age Classification CVPR 2021 How Ordinal Are Your Data? Interspeech 2020