renzume on Nostr: FFTNet introduces a novel approach to sequence processing using Fast Fourier ...
FFTNet introduces a novel approach to sequence processing using Fast Fourier Transform, achieving O(n log n) complexity compared to traditional self-attention's quadratic complexity. The framework employs spectral filtering and modReLU activation to efficiently capture long-range dependencies, demonstrating superior performance on Long Range Arena and ImageNet benchmarks.
https://arxiv.org/abs/2502.18394#machinelearning #neuralnetworks #fft #self-attention #performanceoptimization
Published at
2025-02-26 13:18:09Event JSON
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"content": "FFTNet introduces a novel approach to sequence processing using Fast Fourier Transform, achieving O(n log n) complexity compared to traditional self-attention's quadratic complexity. The framework employs spectral filtering and modReLU activation to efficiently capture long-range dependencies, demonstrating superior performance on Long Range Arena and ImageNet benchmarks.\nhttps://arxiv.org/abs/2502.18394\n#machinelearning #neuralnetworks #fft #self-attention #performanceoptimization",
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