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Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts
Here, before making their prediction, each expert must be paid.
Delayed Bandits: When Do Intermediate Observations Help?
However, if the mapping of states to losses is stochastic, we show that the regret grows at a rate of $\sqrt{\big(K+\min\{|\mathcal{S}|, d\}\big)T}$ (within log factors), implying that if the number $|\mathcal{S}|$ of states is smaller than the delay, then intermediate observations help.
Black-box adversarial attacks using Evolution Strategies
Several methods able to generate adversarial samples make use of gradients, which usually are not available to an attacker in real-world scenarios.
The Channel Attention based Context Encoder Network for Inner Limiting Membrane Detection
The optic disc segmentation is an important step for retinal image-based disease diagnosis such as glaucoma.
