Classification

Explaining Image Classifiers With Multiscale Directional Image Representation CVPR 2023 Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction EMNLP 2023 Exploiting Knowledge about Discourse Relations for Implicit Discourse Relation Classification ACL 2023 Exploiting Non-Interactive Exercises in Cognitive Diagnosis IJCAI 2023 Exploring a classification approach using quantised articulatory movements for acoustic to articulatory inversion Interspeech 2023 Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification CVPR 2023 Exploring and Utilizing Pattern Imbalance CVPR 2023 Exploring Drug Switching in Patients: A Deep Learning-based Approach to Extract Drug Changes and Reasons from Social Media ACL 2023 Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection EMNLP 2023 Exploring Positional Characteristics of Dual-Pixel Data for Camera Autofocus ICCV 2023 Exploring Structured Semantic Prior for Multi Label Recognition With Incomplete Labels CVPR 2023 Exploring the Impact of Transliteration on NLP Performance: Treating Maltese as an Arabic Dialect ACL 2023 Exploring Tuning Characteristics of Ventral Stream’s Neurons for Few-Shot Image Classification AAAI 2023 Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations NeurIPS 2023 Exponentially Convergent Algorithms for Supervised Matrix Factorization NeurIPS 2023 Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti’s Theorem for Markov Chains ICML 2023 Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction EACL 2023 Extracting Robust Models with Uncertain Examples ICLR 2023 Facilitating Fine-grained Detection of Chinese Toxic Language: Hierarchical Taxonomy, Resources, and Benchmarks ACL 2023 Factoring Hate Speech: A New Annotation Framework to Study Hate Speech in Social Media ACL 2023 Fair and Optimal Classification via Post-Processing ICML 2023 FaiREE: fair classification with finite-sample and distribution-free guarantee ICLR 2023 FairGBM: Gradient Boosting with Fairness Constraints ICLR 2023 Fair learning with Wasserstein barycenters for non-decomposable performance measures AISTATS 2023 Fairness-aware class imbalanced learning on multiple subgroups UAI 2023