most citedEfficient architecture for deep neural networks with heterogeneous sensitivity

1 citations · 2 across the 3 of their papers we have counts for

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3 papers

cs.AI2026

Not All Task Vectors Need Equal Rank: Energy-Proportional Allocation for Model Merging

Hyunjoong Cho, Jinhyeok Jang

Model merging aims to combine multiple fine-tuned models derived from a common pretrained model into a single multi-task model without additional joint training. Recent spectral me…

cs.CV2018★ 1 cited

Efficient architecture for deep neural networks with heterogeneous sensitivity

Hyunjoong Cho, Jinhyeok Jang, Chanhyeok Lee +1

This work presents a neural network that consists of nodes with heterogeneous sensitivity. Each node in a network is assigned a variable that determines the sensitivity with which…

cs.LG2018★ 1 cited

Deep Asymmetric Networks with a Set of Node-wise Variant Activation Functions

Jinhyeok Jang, Hyunjoong Cho, Jaehong Kim +2

This work presents deep asymmetric networks with a set of node-wise variant activation functions. The nodes' sensitivities are affected by activation function selections such that…