On the Provable Importance of Gradients for Language-Assisted Image Clustering

Benchmark Model Rank Results
image-clustering-on-stl-10GradNorm#3Accuracy: 0.983NMI: 0.956
image-clustering-on-imagenet-dog-15GradNorm#4Accuracy: 0.812NMI: 0.81ARI: 0.709
image-clustering-on-cifar-100GradNorm#6Accuracy: 0.606NMI: 0.613ARI: 0.436