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 125 of 423 papers

TitleStatusHype
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous DrivingCode2
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific DiscoveryCode2
Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object DetectionCode2
Adaptive Personalized Federated LearningCode2
LDC-MTL: Balancing Multi-Task Learning through Scalable Loss Discrepancy ControlCode1
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion ModelsCode1
Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg EquilibriumCode1
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image SegmentationCode1
SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data SelectionCode1
AutoScale: Scale-Aware Data Mixing for Pre-Training LLMsCode1
Learning diffusion at lightspeedCode1
GS-Phong: Meta-Learned 3D Gaussians for Relightable Novel View SynthesisCode1
iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative LearningCode1
Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical SystemsCode1
Neur2BiLO: Neural Bilevel OptimizationCode1
iMatching: Imperative Correspondence LearningCode1
MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learningCode1
Embarassingly Simple Dataset DistillationCode1
Self-Supervised Dataset Distillation for Transfer LearningCode1
RemovalNet: DNN Fingerprint Removal AttacksCode1
HypBO: Accelerating Black-Box Scientific Experiments Using Experts' HypothesesCode1
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New PerspectiveCode1
From Hypergraph Energy Functions to Hypergraph Neural NetworksCode1
iSLAM: Imperative SLAMCode1
Class-Incremental Exemplar Compression for Class-Incremental LearningCode1
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Benchmark Results

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