Robustifying Routers Against Input Perturbations for Sparse Mixture-of-Experts Vision Transformers
Mixture of experts with a sparse expert selection rule has been gaining much attention recently because of its scalability without compromising inference time. However, unlike standard neural networks, sparse mixture-of-experts models inherently exhibit discontinuities in the output space, which may...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Open Journal of Signal Processing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10858379/ |
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