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Learning to Double-check Model Prediction from a Causal Perspective
Counterfactual Active Learning for Out-of-Distribution Generalization
Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue
Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions
Attributed Social Network Embedding
Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-level Attention
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
Neural Collaborative Filtering
Discrete Collaborative Filtering
Fast Matrix Factorization for Online Recommendation with Implicit Feedback
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