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DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems.

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Self-supervised Learning for Large-scale Item Recommendations., , , , , , , , , and 1 other author(s). CIKM, page 4321-4330. ACM, (2021)Farzi Data: Autoregressive Data Distillation., , , , , and . CoRR, (2023)Sampling-bias-corrected neural modeling for large corpus item recommendations., , , , , , , , and . RecSys, page 269-277. ACM, (2019)Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems., , , , , , and . WSDM, page 76-84. ACM, (2021)Efficient Data Representation Learning in Google-scale Systems., , , , , , , , and . RecSys, page 267-271. ACM, (2023)An Online Multi-task Learning Framework for Google Feed Ads Auction Models., , , , , , , and . KDD, page 3477-3485. ACM, (2022)Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning., , , , , , , , and . KDD, page 5853-5854. ACM, (2023)Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations., , , , , , , and . WWW (Companion Volume), page 441-447. ACM / IW3C2, (2020)Self-Auxiliary Distillation for Sample Efficient Learning in Google-Scale Recommenders., , , , , , , , , and 1 other author(s). RecSys, page 829-831. ACM, (2024)Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems., , , , , , and . WWW (Companion Volume), page 562-566. ACM / IW3C2, (2020)