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Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference.

, , , , , , , and . CVPR, page 14431-14442. IEEE, (2023)

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Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains., , , and . ICCV, page 10570-10578. IEEE, (2019)Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help?, , and . ICCV, page 1901-1910. IEEE, (2019)Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference., , , , , , , and . CVPR, page 14431-14442. IEEE, (2023)Self-Positioning Point-Based Transformer for Point Cloud Understanding., , , , and . CVPR, page 21814-21823. IEEE, (2023)Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation., , and . CVPR, page 7743-7752. Computer Vision Foundation / IEEE, (2019)SageMix: Saliency-Guided Mixup for Point Clouds., , , , and . NeurIPS, (2022)ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification., , and . CoRR, (2019)On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging., , , , , and . IPMI, volume 11492 of Lecture Notes in Computer Science, page 99-111. Springer, (2019)Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention., , , , , , and . AAAI, page 14138-14148. AAAI Press, (2021)MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning., , , , , , , , , and . CoRR, (2023)