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Mnemonic Dictionary Learning for Intrinsic Motivation in Reinforcement Learning.

, , , , , , and . IJCNN, page 1-7. IEEE, (2023)

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Mnemonic Dictionary Learning for Intrinsic Motivation in Reinforcement Learning., , , , , , and . IJCNN, page 1-7. IEEE, (2023)Lattice: An ADC/DAC-less ReRAM-based Processing-In-Memory Architecture for Accelerating Deep Convolution Neural Networks., , , , , , , , and . DAC, page 1-6. IEEE, (2020)Resistive switching in organic memory devices for flexible applications., , , , , and . ISCAS, page 838-841. IEEE, (2014)MobiLattice: A Depth-wise DCNN Accelerator with Hybrid Digital/Analog Nonvolatile Processing-In-Memory Block., , , , , , , and . ICCAD, page 104:1-104:9. IEEE, (2020)Facial Action Unit Detection by Exploring the Weak Relationships Between AU Labels., , , , , , , and . CollaborateCom (2), volume 461 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 478-495. Springer, (2022)A High Accuracy Multiple-Command Speech Recognition ASIC Based on Configurable One-Dimension Convolutional Neural Network., , , , , and . ISCAS, page 1-4. IEEE, (2021)Investigation of NbOx-based volatile switching device with self-rectifying characteristics., , , , , , , and . Sci. China Inf. Sci., 62 (12): 229401 (2019)Hiearchical Crossbar Design for ReRAM based Write Variation Inhibition on-chip learning., , , , , and . NVMTS, page 1-3. IEEE, (2018)Design Considerations of Multi-Level 1S1R Cell for In-Memory Computing., , , , and . ICTA, page 144-145. IEEE, (2023)Enhancement of HfO2 Based RRAM Performance Through Hexagonal Boron Nitride Interface Layer., , , , , , , , , and . NVMTS, page 1-3. IEEE, (2018)