Low-resolution data improves high-resolution model performance when high-resolution samples are limited, via KL-divergence bounds and experiments on vision transformers and CNNs.
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Pith papers citing it
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2026 2verdicts
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Autoregressive transformer decoders suppress OFDM interference in FM radio signals to restore intelligible speech with low latency on GPUs like Jetson AGX Orin.
citing papers explorer
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On What We Can Learn from Low-Resolution Data
Low-resolution data improves high-resolution model performance when high-resolution samples are limited, via KL-divergence bounds and experiments on vision transformers and CNNs.
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Applied AI-Enhanced RF Interference Rejection
Autoregressive transformer decoders suppress OFDM interference in FM radio signals to restore intelligible speech with low latency on GPUs like Jetson AGX Orin.