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Found 5 papers, 2 papers with code
Deep learning powered real-time identification of insects using citizen science data
InsectNet can guide citizen science data collection, especially for invasive species where early detection is crucial.
AlphaNet: Improving Long-Tail Classification By Combining Classifiers
Methods in long-tail learning focus on improving performance for data-poor (rare) classes; however, performance for such classes remains much lower than performance for more data-rich (frequent) classes.
Hypothesis Transfer Learning via Transformation Functions
We consider the Hypothesis Transfer Learning (HTL) problem where one incorporates a hypothesis trained on the source domain into the learning procedure of the target domain.
Eve: A Gradient Based Optimization Method with Locally and Globally Adaptive Learning Rates
Adaptive gradient methods for stochastic optimization adjust the learning rate for each parameter locally.
Understanding Convolutional Neural Networks
Convoulutional Neural Networks (CNNs) exhibit extraordinary performance on a variety of machine learning tasks.
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