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Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems., , , , , , и . WSDM, стр. 76-84. ACM, (2021)Sampling-bias-corrected neural modeling for large corpus item recommendations., , , , , , , , и . RecSys, стр. 269-277. ACM, (2019)Efficient Data Representation Learning in Google-scale Systems., , , , , , , , и . RecSys, стр. 267-271. ACM, (2023)Farzi Data: Autoregressive Data Distillation., , , , , и . CoRR, (2023)Self-supervised Learning for Large-scale Item Recommendations., , , , , , , , , и 1 other автор(ы). CIKM, стр. 4321-4330. ACM, (2021)Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations., , , , , , , и . WWW (Companion Volume), стр. 441-447. ACM / IW3C2, (2020)An Online Multi-task Learning Framework for Google Feed Ads Auction Models., , , , , , , и . KDD, стр. 3477-3485. ACM, (2022)Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning., , , , , , , , и . KDD, стр. 5853-5854. ACM, (2023)Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems., , , , , , и . WWW (Companion Volume), стр. 562-566. ACM / IW3C2, (2020)DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems., , , , , , и . WWW, стр. 1785-1797. ACM / IW3C2, (2021)