List your company

Dataset Inference on ImageNet 1k

4Required Sample CountOur MIAs for IARs
-195.841,153.082,5023,850.92Feb 4, 2025

Evaluation results

MethodLinks
Our MIAs for IARsModel variant=VAR-d302025.024-4
Our MIAs for IARsModel variant=VAR-d242025.027-33
Optimized ProcedureModel variant=VAR-d302025.028-12
Our MIAs for IARsModel variant=RAR-XXL2025.028-2
Optimized ProcedureModel variant=RAR-XXL2025.0210-20
Our MIAs for IARsModel variant=VAR-d202025.0220-180
Baseline (LLM DI)Model variant=VAR-d302025.0220—
Our MIAs for IARsModel variant=RAR-XL2025.0220-10
Our MIAs for IARsModel variant=RAR-L2025.0230-50
Optimized ProcedureModel variant=RAR-XL2025.0230-10
Baseline (LLM DI)Model variant=RAR-XXL2025.0230—
Optimized ProcedureModel variant=VAR-d242025.0240-20
Baseline (LLM DI)Model variant=RAR-XL2025.0240—
Baseline (LLM DI)Model variant=VAR-d242025.0260—
Our MIAs for IARsModel variant=RAR-B2025.0280-220
Optimized ProcedureModel variant=RAR-L2025.0280-120
Our MIAs for IARsModel variant=VAR-d162025.02100-500
Optimized ProcedureModel variant=VAR-d202025.02200-100
Baseline (LLM DI)Model variant=RAR-L2025.02200—
Baseline (LLM DI)Model variant=VAR-d202025.02300—
Our MIAs for IARsModel variant=MAR-H2025.02300-500
Optimized ProcedureModel variant=RAR-B2025.02300-200
Baseline (LLM DI)Model variant=RAR-B2025.02500—
Optimized ProcedureModel variant=VAR-d162025.02600-1,400
Our MIAs for IARsModel variant=MAR-L2025.02600-1,400
Optimized ProcedureModel variant=MAR-H2025.02800-100
Baseline (LLM DI)Model variant=MAR-H2025.02900—
Baseline (LLM DI)Model variant=VAR-d162025.022,000—
Our MIAs for IARsModel variant=MAR-B2025.022,000-2,000
Baseline (LLM DI)Model variant=MAR-L2025.022,000—
Optimized ProcedureModel variant=MAR-L2025.022,0000
Optimized ProcedureModel variant=MAR-B2025.024,000-1,000
Baseline (LLM DI)Model variant=MAR-B2025.025,000—