Advanced Neural Network Applications
External reference: https://openalex.org/T10036
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Binarized MLP-Mixer trained successfully on MNIST Binarized MLP-Mixer achieves 0.9+ accuracy with quantized activations on MNIST, enabling efficient deployment on IoT edge devices without convolutional or attention mechanisms.
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Liger+ dynamically balances latency and throughput in large model inference Distributed inference system using interleaved parallelism to dynamically balance latency-throughput trade-offs via task-aware batch management and strategic kernel scheduling across multiple GPUs.