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cs.LG2025
Relative Advantage Debiasing for Watch-Time Prediction in Short-Video Recommendation
Emily Liu, Kuan Han, Minfeng Zhan +3
Watch time is widely used as a proxy for user satisfaction in video recommendation platforms. However, raw watch times are influenced by confounding factors such as video duration,…
cs.LG2024
Leveraging Intermediate Neural Collapse with Simplex ETFs for Efficient Deep Neural Networks
Emily Liu
Neural collapse is a phenomenon observed during the terminal phase of neural network training, characterized by the convergence of network activations, class means, and linear clas…