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Found 3 papers, 2 papers with code
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
Specifically, FIFA encourages both classification and fairness generalization and can be flexibly combined with many existing fair learning methods with logits-based losses.
FastSeq: Make Sequence Generation Faster
Transformer-based models have made tremendous impacts in natural language generation.
Instrumented Difference-in-Differences
Unmeasured confounding is a key threat to reliable causal inference based on observational studies.
Causal Inference
Methodology
