Classification

Improving Out-of-Distribution Detection Using Segmented Images and Cross-View Attention Fusion WACV 2026 Improving Sparse IMU-based Motion Capture with Motion Label Smoothing AAAI 2026 Improving Target Presence and Plurality Recognition for Generalized Referring Image Segmentation AAAI 2026 Inference Offloading for Cost-Sensitive Binary Classification at the Edge AAAI 2026 Inference with non-differentiable surrogate loss in a general high-dimensional classification framework JMLR 2026 Informative Subgraph Extraction with Deep Reinforcement Learning for Drug-Drug Interaction Prediction AAAI 2026 Integrating Multi-scale and Multi-filtration Topological Features for Medical Image Classification WACV 2026 Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use EACL 2026 Interpretable Machine Learning for In-Home Mild Cognitive Impairment Detection AAAI 2026 Jump-teaching: Combating Sample Selection Bias via Temporal Disagreement AAAI 2026 KazakhOCR: A Synthetic Benchmark for Evaluating Multimodal Models in Low-Resource Kazakh Script OCR EACL 2026 KvochurHegel at AbjadMed: Combining LDAM Loss and Adversarial Training for Arabic Medical Question-Answer Classification EACL 2026 KyrText: A Multi-Domain Large-Scale Corpus for Kyrgyz Language EACL 2026 LabelBuddy: An Open Source Music and Audio Language Annotation Tagging Tool Using AI Assistance EACL 2026 LabelKAN - Kolmogorov-Arnold Networks for Inter-Label Learning: Avian Community Learning AAAI 2026 LAMDAS: LLM as an Implicit Classifier for Domain-specific Data Selection AAAI 2026 Language Choice in Nigerian Social Media Hate Speech EACL 2026 Large Language Models Meet Extreme Multi-label Classification: Scaling and Multi-modal Framework AAAI 2026 Layer Consistency Matters: Elegant Latent Transition Discrepancy for Generalizable Synthetic Image Detection CVPR 2026 Learning Label Distribution with Dirichlet Process Mixture Model AAAI 2026 Learning Latent Imaging Biomarkers for Interpretable Microvascular Invasion Prediction in Hepatocellular Carcinoma AAAI 2026 Learning Representations from Perturbation: A Novel Matrix-View Weighting Framework for Naive Bayes UAI 2026 Learning Subgroups with Maximum Treatment Effects Without Causal Heuristics AAAI 2026 Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels AAAI 2026 Linguistic Blind Spots in Clinical Decision Extraction EACL 2026