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08/29/2023
Robust Long-Tailed Learning via Label-Aware Bounded CVaR
Data in the real-world classification problems are always imbalanced or ...
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06/23/2023
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction
A large-scale industrial recommendation platform typically consists of m...
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06/01/2023
Explicit Feature Interaction-aware Uplift Network for Online Marketing
As a key component in online marketing, uplift modeling aims to accurate...
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04/25/2023
Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing
Multi-task learning for various real-world applications usually involves...
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02/22/2023
GTRL: An Entity Group-Aware Temporal Knowledge Graph Representation Learning Method
Temporal Knowledge Graph (TKG) representation learning embeds entities a...
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02/07/2023
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation
Research on debiased recommendation has shown promising results. However...
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02/04/2023
Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives
Representation learning has been a critical topic in machine learning. I...
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01/26/2023
Optimizing Feature Set for Click-Through Rate Prediction
Click-through prediction (CTR) models transform features into latent vec...
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08/09/2022
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction
Learning embedding table plays a fundamental role in Click-through rate(...
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07/11/2022
DCCF: Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization
Image color harmonization algorithm aims to automatically match the colo...
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07/06/2022
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data
Tabular data is one of the most common data storage formats in business ...
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05/12/2022
Ray Priors through Reprojection: Improving Neural Radiance Fields for Novel View Extrapolation
Neural Radiance Fields (NeRF) have emerged as a potent paradigm for repr...
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11/01/2021
RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining
Although the state-of-the-art traditional representation learning (TRL) ...
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10/26/2021
TME-BNA: Temporal Motif-Preserving Network Embedding with Bicomponent Neighbor Aggregation
Evolving temporal networks serve as the abstractions of many real-life d...
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05/24/2019