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ResearchFormerly WizWand

Image Classification on Vision Datasets 20 tasks 1.0 (test)

88.9Average AccuracyISO-CLS TA
48.735259.162669.5980.0174Nov 29, 2025Dec 29, 2025Jan 28, 2026Feb 27, 2026Mar 29, 2026Apr 28, 2026May 28, 2026
Updated 5mo ago

Evaluation results

MethodLinks
ISO-CLS TABackbone=ViT-L/142025.1188.9
MDA TABackbone=ViT-L/142025.1188.4
TSV TABackbone=ViT-L/142025.1187.1
ISO TABackbone=ViT-L/142025.1187
ISO-CLS TABackbone=ViT-B/162025.1182.8
MDA TABackbone=ViT-B/162025.1182.7
DOGE TABackbone=ViT-L/142025.1181
TSV TABackbone=ViT-B/162025.1180.5
ISO TABackbone=ViT-B/162025.1179.5
DOGE TABackbone=ViT-B/162025.1179.1
Consensus TABackbone=ViT-L/142025.1178.9
MDA TABackbone=ViT-B/322025.1177.3
Consensus TIESBackbone=ViT-L/142025.1176.8
ISO-CLS TABackbone=ViT-B/322025.1176.6
TSV TABackbone=ViT-B/322025.1176.4
Ties-MergingBackbone=ViT-L/142025.1175.7
Task ArithmeticBackbone=ViT-L/142025.1174
ISO TABackbone=ViT-B/322025.1173.1
DOGE TABackbone=ViT-B/322025.1172.5
Weight averagingBackbone=ViT-L/142025.1171.5
EvoGMBackbone=ViT-B-16, Number of Experts=20, Iteration Budget=62026.0570.06
Consensus TABackbone=ViT-B/162025.1169.7
Ties-MergingBackbone=ViT-B/162025.1168.2
Consensus TIESBackbone=ViT-B/162025.1167.1
Task ArithmeticBackbone=ViT-B/162025.1165.9
Consensus TABackbone=ViT-B/322025.1165.4
Pre-trainedBackbone=ViT-L/142025.1165.1
Ties-MergingBackbone=ViT-B/322025.1163.4
Consensus TIESBackbone=ViT-B/322025.1163.2
Weight averagingBackbone=ViT-B/162025.1163.1
Weight averagingBackbone=ViT-B/322025.1161.1
Task ArithmeticBackbone=ViT-B/322025.1160.6
Pre-trainedBackbone=ViT-B/162025.1159.8
Pre-trainedBackbone=ViT-B/322025.1156.1
CMA-ESBackbone=ViT-B-16, Number of Experts=20, Iteration Budget=62026.0550.28