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stat.ML2026
Transformers as Cross-Task Learners: Shared Structure Drives Sample Efficiency in In-Context Learning
Zhongjie Shi, Rongjie Lai, Alexander Cloninger +1
Transformers achieve remarkable performance by jointly learning broad families of tasks during pretraining and adapting to unseen tasks from only a short prompt. Yet a rigorous mat…
stat.ML2026
Does Sparse Connectivity Improve Generalization? Convolutional Networks Below the Edge of Stability
Tongtong Liang, Esha Singh, Rahul Parhi +2
Gradient descent on overparameterized neural networks typically operates at the Edge of Stability (EoS), where the largest Hessian eigenvalue hovers around a step-size-dependent th…