model generalization

Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study AAAI 2020 Rethinking Importance Weighting for Deep Learning under Distribution Shift NeurIPS 2020 Scalable and Generalizable Social Bot Detection through Data Selection AAAI 2020 Semantic Complexity in End-to-End Spoken Language Understanding Interspeech 2020 Sideways: Depth-Parallel Training of Video Models CVPR 2020 Stochastic Weight Averaging in Parallel: Large-Batch Training That Generalizes Well ICLR 2020 The Pitfalls of Simplicity Bias in Neural Networks NeurIPS 2020 Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020 What Happens To BERT Embeddings During Fine-tuning? EMNLP 2020 Zero-Shot Text-to-SQL Learning with Auxiliary Task AAAI 2020 A Meta-Learning Approach for Custom Model Training AAAI 2019 Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets EMNLP 2019 Data-Distortion Guided Self-Distillation for Deep Neural Networks AAAI 2019 Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum NeurIPS 2019 Deeply-Supervised Knowledge Synergy CVPR 2019 Exploiting Class Learnability in Noisy Data AAAI 2019 Generalizing Eye Tracking With Bayesian Adversarial Learning CVPR 2019 Generalizing Question Answering System with Pre-trained Language Model Fine-tuning EMNLP 2019 Learning to Augment with Feature Side-information ACML 2019 Practical Obstacles to Deploying Active Learning EMNLP 2019 Reconstructing Capsule Networks for Zero-shot Intent Classification EMNLP 2019 When to Trust Your Model: Model-Based Policy Optimization NeurIPS 2019 Extrapolation in NLP NAACL 2018 Generalization-Aware Structured Regression towards Balancing Bias and Variance IJCAI 2018 Learning with Previously Unseen Features IJCAI 2017