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Deep Automated Mechanism Design for Integrating Ad Auction and Allocation in Feed
The prevalent methods of segregating the ad auction and allocation into two distinct stages face two problems: 1) Ad auction does not consider externalities, such as the influence of actual display position and context on ad Click-Through Rate (CTR); 2) The ad allocation, which utilizes the auction-winning ad's payment to determine the display position dynamically, fails to maintain incentive compatibility (IC) for the advertisement.
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation
However, segmentation networks pay too much attention to the main visual difference between foreground and background, and ignores the detailed edge information, which leads to a reduction in the accuracy of edge segmentation.
NMA: Neural Multi-slot Auctions with Externalities for Online Advertising
Although VCG-based multi-slot auctions (e. g., VCG, WVCG) make it theoretically possible to model global externalities (e. g., the order and positions of ads and so on), they lack an efficient balance of both revenue and social welfare.
TranSiam: Fusing Multimodal Visual Features Using Transformer for Medical Image Segmentation
These differences will affect the results of the automatic segmentation methods.
