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Optimization

1184 directly classified papers

Papers per year

Papers

AFUNet: Cross-Iterative Alignment-Fusion Synergy for HDR Reconstruction via Deep Unfolding Paradigm ICCV 2025
SDFit: 3D Object Pose and Shape by Fitting a Morphable SDF to a Single Image ICCV 2025
OTPNet: ODE-inspired Tuning-free Proximal Network for Remote Sensing Image Fusion AAAI 2025
GPU-Accelerated Parallel Bilevel Optimization for Roubst 6G ISAC AAAI 2025
Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning AAAI 2025
Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies ACL 2025
Enhancing Machine Translation with Self-Supervised Preference Data ACL 2025
Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation ACL 2025
Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs ACL 2025
Model Performance-Guided Evaluation Data Selection for Effective Prompt Optimization ACL 2025
Improving Continual Pre-training Through Seamless Data Packing ACL 2025
Automated Fine-Grained Mixture-of-Experts Quantization ACL 2025
Optimization Over a Probability Simplex JMLR 2025
Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis JMLR 2025
A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds JMLR 2025
On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control JMLR 2025
Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm EMNLP 2025
ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning EMNLP 2025
MLWQ: Efficient Small Language Model Deployment via Multi-Level Weight Quantization EMNLP 2025
LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding EMNLP 2025
ConstraintLLM: A Neuro-Symbolic Framework for Industrial-Level Constraint Programming EMNLP 2025
HMoE: Heterogeneous Mixture of Experts for Language Modeling EMNLP 2025
Dynamic Jointly Batch Selection for Data Efficient Machine Translation Fine-Tuning EMNLP 2025
InsBank: Evolving Instruction Subset for Ongoing Alignment EMNLP 2025
Learning Regularization for Graph Inverse Problems AAAI 2025