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A Logarithmic Floating-Point Multiplier for the Efficient Training of Neural Networks


A Single Layer Neural Network Implemented by a $4\times 4$ MZI-Based Optical Processor

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A Spike-Event-Based Neuromorphic Processor with Enhanced On-Chip STDP Learning in 28nm CMOS


A Hardware Accelerator Based on Quantized Weights for Deep Neural Networks

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Binary Neural Network Hashing for Image Retrieval


BDNN: Binary convolution neural networks for fast object detection


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A Spike-Event-Based Neuromorphic Processor with Enhanced On-Chip STDP Learning in 28nm CMOS


An introduction to distributed training of deep neural networks for segmentation tasks with large seismic datasets

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High-precision coding in visual cortex


E-Cannula reveals anatomical diversity in sharp-wave ripples as a driver for the recruitment of distinct hippocampal assemblies

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A Study of Neural Training with Iterative Non-Gradient Methods


Dropout- A Detailed Survey

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Fundamental bounds on learning performance in neural circuits


Quantifying Information Conveyed by Large Neuronal Populations

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Adaptable and Interpretable Neural MemoryOver Symbolic Knowledge


Fully Automatic Journalism: We Need to Talk About Nonfake News Generation

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A fully adapted headstage for electrophysiological experiments with custom and scalable electrode arrays to record widely distributed brain regions


Action representation in the mouse parieto-frontal network

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Is Supervised Syntactic Parsing Beneficial for Language Understanding Tasks? An Empirical Investigation


Humor@IITK at SemEval-2021 Task 7: Large Language Models for Quantifying Humor and Offensiveness


Understanding the Impact of Neural Variations and Random Connections on Inference


Large Neural 큰 신경


Large Neural 큰 신경
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