SOTAVerified

Bilevel Optimization

Bilevel Optimization is a branch of optimization, which contains a nested optimization problem within the constraints of the outer optimization problem. The outer optimization task is usually referred as the upper level task, and the nested inner optimization task is referred as the lower level task. The lower level problem appears as a constraint, such that only an optimal solution to the lower level optimization problem is a possible feasible candidate to the upper level optimization problem.

Source: Efficient Evolutionary Algorithm for Single-Objective Bilevel Optimization

Papers

Showing 5160 of 423 papers

TitleStatusHype
Learning diffusion at lightspeedCode1
Coresets via Bilevel Optimization for Continual Learning and StreamingCode1
Deep invariant networks with differentiable augmentation layersCode1
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response JacobiansCode1
Embarassingly Simple Dataset DistillationCode1
FairBatch: Batch Selection for Model FairnessCode1
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion ModelsCode1
Self-Supervised Dataset Distillation for Transfer LearningCode1
Penalty Method for Inversion-Free Deep Bilevel OptimizationCode1
A hybrid deep-learning-metaheuristic framework for bi-level network design problemsCode0
Show:102550
← PrevPage 6 of 43Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GIN-GAOptimality Gap0.21Unverified
#ModelMetricClaimedVerifiedStatus
1GIN-GAOptimality Gap0.48Unverified
#ModelMetricClaimedVerifiedStatus
1GIN-GAOptimality Gap1.44Unverified