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Optimization

14207 directly classified papers

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Unified Control for Inference-Time Guidance of Denoising Diffusion Models WACV 2026
SafeguardGS: 3D Gaussian Primitive Pruning While Avoiding Catastrophic Scene Destruction WACV 2026
End-to-End Fine-Tuning of 3D Texture Generation using Differentiable Rewards WACV 2026
SSplain: Sparse and Smooth Explainer for Retinopathy of Prematurity Classification WACV 2026
KAD: A Framework for Proxy-based Test-time Alignment with Knapsack Approximation Deferral EACL 2026
How to Design and Train Your Implicit Neural Representation for Video Compression WACV 2026
DPBridge: Latent Diffusion Bridge for Dense Prediction WACV 2026
High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization WACV 2026
LooC: Effective Low-Dimensional Codebook for Compositional Vector Quantization WACV 2026
Optimizing LVLMs with On-Policy Data for Effective Hallucination Mitigation WACV 2026
GFT: Graph Feature Tuning for Efficient Point Cloud Analysis WACV 2026
CAST: Evaluating Multi-Object Trackers with Context-Aware Switch and Transfer Scores WACV 2026
Maastricht University at AMIYA: Adapting LLMs for Dialectal Arabic using Fine-tuning and MBR Decoding EACL 2026
DRAGOn: Designing RAG On Periodically Updated Corpus EACL 2026
AutoBool: Reinforcement-Learned LLM for Effective Automatic Systematic Reviews Boolean Query Generation EACL 2026
Adaptive KL Control for Direct Preference Optimization in Instruction-Following LLMs AAAI 2026
Mapping the Course for Prompt-based Structured Prediction EACL 2026
KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation EACL 2026
SchemaGraphSQL: Efficient Schema Linking with Pathfinding Graph Algorithms for Text-to-SQL on Large-Scale Databases EACL 2026
On the Dataless Training of Neural Networks AAAI 2026
Next Generation of Empirical Performance Prediction AAAI 2026
Optimisation Problems in Constrained Machine Learning AAAI 2026
Bi-Level Preference Optimization for Retrieval-Augmented Generation (Student Abstract) AAAI 2026
UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data (Student Abstract) AAAI 2026
Adaptive Coreset Selection via Uncertainty-Density for Efficient Spam Detection (Student Abstract) AAAI 2026