Co-occurring keywords · papers mentioning both
Papers
How Wide and How Deep? Mitigating Over-squashing of GNNs via Channel Capacity Constrained Estimation
AAAI 2026
Mixture of Hidden-Dimensions: Not All Hidden-States’ Dimensions are Needed in Transformer
ICML 2025
Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module
ICML 2024
PartialFormer: Modeling Part Instead of Whole for Machine Translation
ACL 2024
Stealing part of a production language model
ICML 2024