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15289 directly classified papers

Papers per year

Papers

ICL-Router: In-Context Learned Model Representations for LLM Routing AAAI 2026

USE: A Unified Model for Universal Sound Separation and Extraction AAAI 2026

MetaEval: Measuring the Discrimination of Benchmarks for Efficient LLM Evaluation AAAI 2026

LAMDAS: LLM as an Implicit Classifier for Domain-specific Data Selection AAAI 2026

From Sampling to Cognition: Modeling Internal Cognitive Confidence in Language Models for Robust Uncertainty Calibration AAAI 2026

iMAD: Intelligent Multi-Agent Debate for Efficient and Accurate LLM Inference AAAI 2026

Learning Subgroups with Maximum Treatment Effects Without Causal Heuristics AAAI 2026

BidMatch: Boosting Semi-Supervised Learning by Bi-Dimensional Sample Weight Guidance AAAI 2026

PPGPT: Transferring Next-Token Modeling from Language to PPG Signals AAAI 2026

Prototype-Driven Active Domain Adaptation with Density Consideration AAAI 2026

Minimum-Length Conformal Prediction Sets for Ordinal Classification AAAI 2026

State-Derivative-Aware Neural Controlled Differential Equations for Multivariate Time Series Anomaly Detection and Diagnosis AAAI 2026

Tabular Learnwares Can Be Repurposed for Seemingly Irrelevant New Tasks AAAI 2026

Center-Outward q-Dominance: A Sample-Computable Proxy for Strong Stochastic Dominance in Stochastic Multi-Objective Optimisation AAAI 2026

Learning Label Distribution with Dirichlet Process Mixture Model AAAI 2026

Towards Nonlinear Sparse AUC Maximization via Compositional Stochastic Hard Thresholding AAAI 2026

MAU-GPT: Enhancing Multi-type Industrial Anomaly Understanding via Anomaly-aware and Generalist Experts Adaptation AAAI 2026

Multimodal Mixture-of-Experts with Retrieval Augmentation for Protein Active Site Identification AAAI 2026

SVGL: Scale-Variable Graph Learning in Model Space for Multivariate Time Series Classification AAAI 2026

Quality-aware and Soft Consistency Driven Representation Fusion for Incomplete Multi-view Multi-label Classification AAAI 2026

Autonomous Concept Drift Threshold Determination AAAI 2026

Uncertainty-Guided View-Strength-Aware Feature Utilization for Multi-View Classification AAAI 2026

Inference Offloading for Cost-Sensitive Binary Classification at the Edge AAAI 2026

From Decision Trees to Boolean Logic: A Fast and Unified SHAP Algorithm AAAI 2026

FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification AAAI 2026