ZeroBN : learning compact neural networks for latency-critical edge systems by Huai, Shuo, Zhang, Lei, Liu, Di, Liu, Weichen, Subramaniam, Ravi

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HACScale : hardware-aware compound scaling for resource-efficient DNNs by Kong, Hao, Liu, Di, Luo, Xiangzhong, Liu, Weichen, Subramaniam, Ravi

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Bringing AI to edge : from deep learning's perspective by Liu, Di, Kong, Hao, Luo, Xiangzhong, Liu, Weichen, Subramaniam, Ravi

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Crossbar-aligned & integer-only neural network compression for efficient in-memory acceleration by Huai, Shuo, Liu, Di, Luo, Xiangzhong, Chen, Hui, Liu, Weichen, Subramaniam, Ravi

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Latency-constrained DNN architecture learning for edge systems using zerorized batch normalization by Huai, Shuo, Liu, Di, Kong, Hao, Liu, Weichen, Subramaniam, Ravi, Makaya, Christian, Lin, Qian

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Smart scissor: coupling spatial redundancy reduction and CNN compression for embedded hardware by Kong, Hao, Liu, Di, Huai, Shuo, Luo, Xiangzhong, Liu, Weichen, Subramaniam, Ravi, Makaya, Christian, Lin, Qian

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Collate: collaborative neural network learning for latency-critical edge systems by Huai, Shuo, Liu, Di, Kong, Hao, Luo, Xiangzhong, Liu, Weichen, Subramaniam, Ravi, Makaya, Christian, Lin, Qian

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EMNAPE: efficient multi-dimensional neural architecture pruning for EdgeAI by Kong, Hao, Luo, Xiangzhong, Huai, Shuo, Liu, Di, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen

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Towards efficient convolutional neural network for embedded hardware via multi-dimensional pruning by Kong, Hao, Liu, Di, Luo, Xiangzhong, Huai, Shuo, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen

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EdgeCompress: coupling multi-dimensional model compression and dynamic inference for EdgeAI by Kong, Hao, Liu, Di, Huai, Shuo, Luo, Xiangzhong, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen

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CRIMP: compact & reliable DNN inference on in-memory processing via crossbar-aligned compression and non-ideality adaptation by Huai, Shuo, Kong, Hao, Luo, Xiangzhong, Li, Shiqing, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen

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EvoLP: self-evolving latency predictor for model compression in real-time edge systems by Huai, Shuo, Kong, Hao, Li, Shiqing, Luo, Xiangzhong, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen

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On hardware-aware design and optimization of edge intelligence by Huai, Shuo, Kong, Hao, Luo, Xiangzhong, Liu, Di, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen

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