Abstract: Neural network pruning is a popular and promising approach aiming at reducing heavy networks to lightweight ones by removing redundancies. Most existing methods adopt a three-stage pipeline, ...
Sasha Stiles turned GPT-2 experiments into a self-writing poem at a Museum of Modern Art installation—and a new way to think about text-generating AI optimization ...
Abstract: Compared with gravity anomaly, gravity gradient data exhibit more intricate high-frequency spatial information, enabling the depiction of small-scale topographic and tectonic features.