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Found 4 papers, 3 papers with code
Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks
To address this issue, we propose a generalized and differentiable framework to learn efficient structures of weight matrices by gradient descent.
Deep Joint Source-Channel Coding with Iterative Source Error Correction
In this paper, we propose an iterative source error correction (ISEC) decoding scheme for deep-learning-based joint source-channel coding (Deep JSCC).
Unified Signal Compression Using a GAN with Iterative Latent Representation Optimization
We propose a unified signal compression framework that uses a generative adversarial network (GAN) to compress heterogeneous signals.
A Confidence-Calibrated MOBA Game Winner Predictor
In this paper, we propose a confidence-calibration method for predicting the winner of a famous multiplayer online battle arena (MOBA) game, League of Legends.
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