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Optimization

14207 directly classified papers

Papers per year

Papers

Step Back to Leap Forward: Self-Backtracking for Symbolic Reasoning and Planning in Language Models AAAI 2026

Flow-Based Knowledge Transfer for Efficient Large Model Distillation AAAI 2026

Incomplete Multi-View Unsupervised Federated Feature Selection via Cooperative Particle Swarm Optimization and Tensor-Aligned Learning AAAI 2026

Improving Generalization in LLM Structured Pruning via Function-Aware Neuron Grouping AAAI 2026

FP=XINT: Representing Neural Networks via Low-Bit Series Basis Functions AAAI 2026

MDMLP-EIA: Multi-domain Dynamic MLPs with Energy Invariant Attention for Time Series Forecasting AAAI 2026

HALoRA: Low-Rank Adaptation with Hierarchical Budget Allocation for Efficient Vision-Language Alignment AAAI 2026

Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning AAAI 2026

Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation AAAI 2026

Multi-Objective Bilevel Learning AAAI 2026

Discrete Structure Augmentation for Graph Convolutional Networks AAAI 2026

A Unified Convergence Analysis for Semi-Decentralized Learning: Sampled-to-Sampled vs. Sampled-to-All Communication AAAI 2026

Low-Rank Curvature for Zeroth-Order Optimization in LLM Fine-tuning AAAI 2026

Matrix-Free Two-to-Infinity and One-to-Two Norms Estimation AAAI 2026

Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training AAAI 2026

CasMoE: A Cascaded Framework for Efficient MoE Inference on Resource-constrained Devices AAAI 2026

Space Alignment Matters: The Missing Piece for Inducing Neural Collapse in Long-Tailed Learning AAAI 2026

Escaping Optimization Stagnation: Taking Steps Beyond Task Arithmetic via Difference Vectors AAAI 2026

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

Robust High-Order Tensor Compressive Sensing Based on M-Estimators AAAI 2026

From Sequential to Recursive: Enhancing Decision-Focused Learning with Bidirectional Feedback AAAI 2026

OT-ALD: Aligning Latent Distributions with Optimal Transport for Accelerated Image-to-Image Translation AAAI 2026

A General Anchor-Based Framework for Scalable Fair Clustering AAAI 2026

From Parameter to Representation: A Closed-Form Approach for Controllable Model Merging AAAI 2026

Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning AAAI 2026