Part2: #dailyreport #conference #ai #aitrends #techtrends #tech
from. This is an optimization problem and may be costly.
- *Generate* We generate new synthetic data for which the
model queries the label (via approaches like GANs or
VAEs). There is a risk of generating unrealistic
examples.
AL Strategies:
- *Uncertainty Sampling:* The model queries the instance
for which it has the least confidence in its current
predictions.
- *Query by Committee:* Multiple models are used, and the
instance chosen is the one about which they disagree
the most.
- *Expected Model Change:* The instance selected is the
one that would impart the most change to the current
model if its label were known (computed by calculating
the expected gradient magnitude with respect to the
loss function).
Multiagent, multimodal and modular systems is a
mainstream:
https://github.com/luo-junyu/Awesome-Agent-Papers