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representation power

10 papers

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Co-occurring keywords · papers mentioning both

graph neural network (2) graph convolutional network (2) model compression (2) dynamic channel sampling (1) network downscaling (1) attention layer (1) temporal graph network (1) permutation-invariant function (1) depth separation (1) high-order polynomial (1)

Papers

Pick-or-Mix: Dynamic Channel Sampling for ConvNets CVPR 2024 Depth Separation with Multilayer Mean-Field Networks ICLR 2023 Representational Strengths and Limitations of Transformers NeurIPS 2023 Provably expressive temporal graph networks NeurIPS 2022 GhostBERT: Generate More Features with Cheap Operations for BERT ACL 2021 P-nets: Deep Polynomial Neural Networks CVPR 2020 On the equivalence between graph isomorphism testing and function approximation with GNNs NeurIPS 2019 Optimizing Network Structure for 3D Human Pose Estimation ICCV 2019 Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology NeurIPS 2019 ResNet with one-neuron hidden layers is a Universal Approximator NeurIPS 2018