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cs.LG2026
These Are Not All the Features You Are Looking For: A Fundamental Bottleneck in Supervised Pretraining
Xingyu Alice Yang, Jianyu Zhang, Léon Bottou
Transfer learning is widely used to adapt large pretrained models to new tasks with only a small amount of new data. However, a challenge persists -- the features from the original…
cs.LG2025
Memory Mosaics
Jianyu Zhang, Niklas Nolte, Ranajoy Sadhukhan +2
Memory Mosaics are networks of associative memories working in concert to achieve a prediction task of interest. Like transformers, memory mosaics possess compositional capabilitie…
cs.LG2025
Fine-tuning with Very Large Dropout
Jianyu Zhang, Léon Bottou
It is impossible today to pretend that the practice of machine learning is always compatible with the idea that training and testing data follow the same distribution. Several auth…