Information Theory, Compression Bounds, Feature Learning, Neural Networks
Learning to Quantize and Precode in Massive MIMO Systems for Energy Reduction: a Graph Neural Network Approach
arxiv.orgยท1d
A Neural Net For a Graphing Calculator?
hackaday.comยท5h
Revisiting k-Means: 3 Approaches to Make It Work Better
machinelearningmastery.comยท22h
How AI Detects Cancer in Whole Slide Images
hackernoon.comยท18h
On Information Geometry and Iterative Optimization in Model Compression: Operator Factorization
arxiv.orgยท2d
Information Must Flow: Recursive Bootstrapping for Information Bottleneck in Optimal Transport
arxiv.orgยท2d
D3FL: Data Distribution and Detrending for Robust Federated Learning in Non-linear Time-series Data
arxiv.orgยท1d
Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis
arxiv.orgยท9h
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