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09/19/2023
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning
Multi-domain learning (MDL) aims to train a model with minimal average r...
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05/05/2023
Generic and Robust Root Cause Localization for Multi-Dimensional Data in Online Service Systems
Localizing root causes for multi-dimensional data is critical to ensure ...
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10/27/2022
AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling
In Click-through rate (CTR) prediction models, a user's interest is usua...
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02/20/2022
Cross-Task Knowledge Distillation in Multi-Task Recommendation
Multi-task learning (MTL) has been widely used in recommender systems, w...
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08/13/2021
Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback
The delayed feedback problem is one of the imperative challenges in onli...
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04/17/2021
Convolutional Normalizing Flows for Deep Gaussian Processes
Deep Gaussian processes (DGPs), a hierarchical composition of GP models,...
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11/19/2019
Adversarial Inverse Reinforcement Learning for Decision Making in Autonomous Driving
Generative Adversarial Imitation Learning (GAIL) is an efficient way to ...
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05/26/2019