UAU-Net improves facial action unit detection by modeling uncertainty at both representation learning via conditional VAE and evidential classification via asymmetric Beta network.
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GBS replaces two-stage bid landscape modeling with an autoregressive generative model plus reward-aligned policy optimization to improve short- and long-term advertiser surplus in real-time bidding.
citing papers explorer
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UAU-Net: Uncertainty-aware Representation Learning and Evidential Classification for Facial Action Unit Detection
UAU-Net improves facial action unit detection by modeling uncertainty at both representation learning via conditional VAE and evidential classification via asymmetric Beta network.
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Generative Bid Shading in Real-Time Bidding Advertising
GBS replaces two-stage bid landscape modeling with an autoregressive generative model plus reward-aligned policy optimization to improve short- and long-term advertiser surplus in real-time bidding.