一作ICML 2026Poster· General Machine Learning / Supervised Learning
Learning to Rank by Directly Optimizing Full-Order Probabilities
Yongxiang Tang · Chao Wang · Jincheng Lu · Yanhua Cheng · Xialong Liu · Peng Jiang
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Yongxiang Tang · Chao Wang · Jincheng Lu · Yanhua Cheng · Xialong Liu · Peng Jiang
Chao Wang · Yongxiang Tang · Guikai Luan · Kaiyuan Li · Yanhua Cheng · Xialong Liu · shu wu · Peng Jiang
Learning-to-rank (LTR) is a fundamental component of modern large-scale information retrieval (IR) systems, playing an essential role across various stages of the ranking pipeline. Recently, differentiable sorting networks have attracted increasing attention for LTR as a permutation-level learnin...
Guangyan Gan · Ling Zhang · Yanhua Cheng · Yongxiang Tang · Kaiyuan Li · Xialong Liu · Peng Jiang