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Found 5 papers, 1 papers with code
Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolution
Video quality can suffer from limited internet speed while being streamed by users.
Associative Memory Based Experience Replay for Deep Reinforcement Learning
AMPER replaces the widely-used time-costly tree-traversal-based priority sampling in PER while preserving the learning performance.
Experimentally realized memristive memory augmented neural network
Memory augmented neural network has been proposed to achieve the goal, but the memory module has to be stored in an off-chip memory due to its size.
In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories
Moreover, this approach achieves accuracies comparable to floating-point precision implementations in software for NN classification and one/few-shot learning tasks.
Performance Analysis of Semi-supervised Learning in the Small-data Regime using VAEs
Extracting large amounts of data from biological samples is not feasible due to radiation issues, and image processing in the small-data regime is one of the critical challenges when working with a limited amount of data.
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