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Optimization

14207 directly classified papers

Papers per year

Papers

SACO: Sequence-Aware Constrained Optimization Framework for Coupon Distribution in E-commerce AAAI 2026

REACTION: Parameter-Efficient Learning for Recommendation AAAI 2026

Rethinking Crystal Symmetry Prediction: A Decoupled Perspective AAAI 2026

Counterfactual eXplainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification AAAI 2026

Inferring Heterogeneous Private Valuations from Offline Market Data via Entropic Risk-Sensitive Utility Maximization AAAI 2026

FT-NCFM: An Influence-Aware Data Distillation Framework for Efficient VLA Models AAAI 2026

Just Few States Are Enough: Randomized Sparse Feedback for Stability of Dynamical Systems AAAI 2026

Efficient Rule Induction by Ignoring Pointless Rules AAAI 2026

Symmetry Breaking for Inductive Logic Programming AAAI 2026

Towards Robust Edge Model Adaptation via Elastic Architecture Search AAAI 2026

Robust Watermarking on Gradient Boosting Decision Trees AAAI 2026

Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and Beyond AAAI 2026

Random Amalgamation of Adapters for Flatter Loss Landscapes: Towards Class-Incremental Learning with Better Stability AAAI 2026

WIET: Harmonizing Group-aware Model Weighting and Worker Allocation for Ensemble Temporal Prediction MaaS AAAI 2026

Reconcile Gradient Modulation for Harmony Multimodal Learning AAAI 2026

HiQ-Lip: A Hierarchical Quantum-Classical Method for Global Lipschitz Constant Estimation of ReLU Networks AAAI 2026

FedLAGC: Towards High Performance System-Heterogeneous Federated Learning via Layer-Adaptive Submodel Extraction and Gradient Correction AAAI 2026

STrans: Spontaneous Architecture Evolution for Adaptive Time Series Forecasting AAAI 2026

Beyond Adapter Retrieval: Latent Geometry-Preserving Composition via Sparse Task Projection AAAI 2026

Cliqueformer: Model-Based Optimization with Structured Transformers AAAI 2026

Maximizing Schatten-p Norm Regularization Toward Balance AAAI 2026

Direction Sensitivity–Based Knowledge Distillation: Optimization-Aware Low-Rank Knowledge Transfer AAAI 2026

ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation AAAI 2026

GLOBA: Rethinking Parameter Conflicts in Model Merging AAAI 2026

Well Begun, Half Done: Reinforcement Learning with Prefix Optimization for LLM Reasoning AAAI 2026