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20232026
most citedRevisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification

2 citations · 2 across the 8 of their papers we have counts for

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cs.LG2026

Consistency Deep Equilibrium Models

Junchao Lin, Zenan Ling, Jingwen Xu +1

Deep Equilibrium Models (DEQs) have emerged as a powerful paradigm in deep learning, offering the ability to model infinite-depth networks with constant memory usage. However, DEQs…

cs.LG2026

Diving into Kronecker Adapters: Component Design Matters

Jiayu Bai, Danchen Yu, Zhenyu Liao +4

Kronecker adapters have emerged as a promising approach for fine-tuning large-scale models, enabling high-rank updates through tunable component structures. However, existing work…