Efficient Large-Scale Domain Classification with Personalized Attention. Training and Prediction Data Discrepancies: Challenges of Text Classification with Noisy, Historical Data. Characterizing and Avoiding Negative Transfer. Analysis of Noisy Evolutionary Optimization When Sampling Fails. Right for the Right Reason: Training Agnostic Networks. As …