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Found 4 papers, 2 papers with code
On the special role of class-selective neurons in early training
Finally, in causal experiments where we regularize against class selectivity at different points in training, we show that the presence of class-selective neurons early in training is critical to the successful training of the network; in contrast, class-selective neurons can be suppressed later in training with little effect on final accuracy.
Image-based Early Detection System for Wildfires
In this paper, we present our Wildfire Detection and Alert System which use machine learning to detect wildfire smoke with a high degree of accuracy and can send immediate alerts to users.
Applying Machine Learning to Crowd-sourced Data from Earthquake Detective
Citizen science project Earthquake Detective leverages the eyes and ears of volunteers to detect and classify weak signals in seismograms from potentially dynamically triggered (PDT) events.
OtoWorld: Towards Learning to Separate by Learning to Move
The agent receives a reward for turning off a source.
