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Distributionally-robust Recommendations for Improving Worst-case User Experience., , , , , and . WWW, page 3606-3610. ACM, (2022)SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning., , , , , and . AAAI, page 216-223. AAAI Press, (2019)Efficient Data Representation Learning in Google-scale Systems., , , , , , , , and . RecSys, page 267-271. ACM, (2023)Online Matching: A Real-time Bandit System for Large-scale Recommendations., , , , , , , , and . RecSys, page 403-414. ACM, (2023)Deep Hash Embedding for Large-Vocab Categorical Feature Representations., , , , , , and . CoRR, (2020)Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems., , , , , , and . WSDM, page 76-84. ACM, (2021)Improving Multi-Task Generalization via Regularizing Spurious Correlation., , , , , , and . NeurIPS, (2022)Sampling-bias-corrected neural modeling for large corpus item recommendations., , , , , , , , and . RecSys, page 269-277. ACM, (2019)Generation of Transfer Functions with Stochastic Search Techniques., , , and . IEEE Visualization, page 227-234. IEEE Computer Society and ACM, (1996)ScentIndex and ScentHighlights: productive reading techniques for conceptually reorganizing subject indexes and highlighting passages., , , , and . Inf. Vis., 6 (1): 32-47 (2007)