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20232026
most citedLeveraging Vision-Language Models for Improving Domain Generalization in Image Classification

3 citations · 4 across the 4 of their papers we have counts for

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cs.LG2026

Diminishing Returns of Data in Sparse Autoencoders: Functional Behavior does not Guarantee Feature Reproducibility

Sambit Ghosh, Madelyn Mathai, R. Venkatesh Babu +1

Sparse autoencoders (SAEs) are typically trained on hundreds of millions to billions of activation tokens, yet little work has tested whether this scale is necessary. We study how…

cs.LG2026

Rethinking Dataset Distillation: Hard Truths about Soft Labels

Priyam Dey, Aditya Sahdev, Sunny Bhati +2

Despite the perceived success of large-scale dataset distillation (DD) methods, recent evidence finds that simple random image baselines perform on-par with state-of-theart DD meth…