Machine Learning

QalamID at AbjadAuthorID Shared Task: Morphology Matters, A Hybrid Ensemble for Arabic Authorship Attribution EACL 2026 QAPNet: A Quantum-Attentive Patchwise Network for Robust Medical Image Classification Under Noisy Inputs AAAI 2026 Q Cache: Visual Attention Is Valuable in Less than Half of Decode Layers for Multimodal Large Language Model AAAI 2026 QCFace: Image Quality Control for boosting Face Representation & Recognition WACV 2026 Q-Former Autoencoder: A Modern Framework for Medical Anomaly Detection WACV 2026 QiMeng-CRUX: Narrowing the Gap Between Natural Language and Verilog via Core Refined Understanding eXpression AAAI 2026 QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation AAAI 2026 QRShield: Exploiting Vulnerabilities of Latent Diffusion Models for Preventing AI Art Plagiarism AAAI 2026 QSTN: A Modular Framework for Robust Questionnaire Inference with Large Language Models EACL 2026 QuadAI at SemEval-2026 Task 3: Ensemble Learning of Hybrid RoBERTa and LLMs for Dimensional Aspect-Based Sentiment Analysis SemEval 2026 QuadraNet V2: Efficient and Sustainable Training of High-Order Neural Networks with Quadratic Adaptation WACV 2026 Quality-Aware Adversarial Ensemble for Singer Identification in 1960s Tamil Film Music EACL 2026 Quality-aware and Soft Consistency Driven Representation Fusion for Incomplete Multi-view Multi-label Classification AAAI 2026 Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection AAAI 2026 QuanTaxo: A Quantum Approach to Self-Supervised Taxonomy Expansion AAAI 2026 Quantification of Credal Uncertainty: A Distance-Based Approach UAI 2026 Quantifying and Improving Adaptivity in Conformal Prediction Through Input Transformations AAAI 2026 Quantifying and Understanding Uncertainty in Large Reasoning Models ACL 2026 Quantifying Social Sentiment in Hostels Using A Domain-Specific Transformer Pipeline EACL 2026 Quantifying the Limits of Segmentation Foundation Models: Modeling Challenges in Segmenting Tree-Like and Low-Contrast Objects WACV 2026 Quantifying the Potential to Escape Filter Bubbles: A Behavior-Aware Measure via Contrastive Simulation AAAI 2026 Quantitative Convergence Analysis of Projected Stochastic Gradient Descent for Non-Convex Losses via the Goldstein Subdifferential ALT 2026 Quantized Stochastic Primal–Dual Methods for Distributed Optimization under Relaxed Global Geometry UAI 2026 Quantum Algorithms for Spectral Sums AAAI 2026 Quantum-Gated Task-interaction Knowledge Distillation for Pre-trained Model-based Class-Incremental Learning CVPR 2026