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Found 7 papers, 0 papers with code
Exploiting Processing in Non-Volatile Memory for Binary Neural Network Accelerators
Recently, binary neural networks have shown impressive efficiency and accuracy on image recognition data sets.
Emerging Technologies
Deep Social Collaborative Filtering
Meanwhile, most of these models treat neighbors' information equally without considering the specific recommendations.
Attacking Black-box Recommendations via Copying Cross-domain User Profiles
In this work, we present our framework CopyAttack, which is a reinforcement learning based black-box attack method that harnesses real users from a source domain by copying their profiles into the target domain with the goal of promoting a subset of items.
MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization
MetaMix can be integrated with any of the MAML-based algorithms and learn the decision boundaries generalizing better to new tasks.
One-step, Wash-free, Nanoparticle Clustering-based Magnetic Particle Spectroscopy (MPS) Bioassay Method for Detection of SARS-CoV-2 Spike and Nucleocapsid Proteins in Liquid Phase
With the ongoing global pandemic of coronavirus disease 2019 (COVID-19), there is an increasing quest for more accessible, easy-to-use, rapid, inexpensive, and high accuracy diagnostic tools.
Frequency and Amplitude Optimizations for Magnetic Particle Spectroscopy Applications
Nowadays, there is a growing interest in the field of magnetic particle spectroscopy (MPS)-based bioassays.
Experimental demonstration of magnetic tunnel junction-based computational random-access memory
Based on the experimental results, a suite of modeling has been developed to characterize the accuracy of CRAM computation.
