model generalization

Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption AAAI 2021 Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics EMNLP 2021 Improving Model Generalization: A Chinese Named Entity Recognition Case Study ACL 2021 Learning Data Augmentation With Online Bilevel Optimization for Image Classification WACV 2021 Learning to Learn to be Right for the Right Reasons NAACL 2021 Meta Gradient Adversarial Attack ICCV 2021 On Large-Cohort Training for Federated Learning NeurIPS 2021 On the Predictability of Pruning Across Scales ICML 2021 Peer Collaborative Learning for Online Knowledge Distillation AAAI 2021 RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract) AAAI 2021 Robust Regularization with Adversarial Labelling of Perturbed Samples IJCAI 2021 SelfReg: Self-Supervised Contrastive Regularization for Domain Generalization ICCV 2021 Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-Grained Recognition ICCV 2021 TopGuNN: Fast NLP Training Data Augmentation using Large Corpora NAACL 2021 Training Dynamic based data filtering may not work for NLP datasets EMNLP 2021 Troubleshooting Blind Image Quality Models in the Wild CVPR 2021 Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability ICML 2021 Advancing Seq2seq with Joint Paraphrase Learning EMNLP 2020 Circuit-Based Intrinsic Methods to Detect Overfitting ICML 2020 Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data EMNLP 2020 Generalization to Mitigate Synonym Substitution Attacks EMNLP 2020 Group-Wise Dynamic Dropout Based on Latent Semantic Variations AAAI 2020 Knowledge As Priors: Cross-Modal Knowledge Generalization for Datasets Without Superior Knowledge CVPR 2020 NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations AAAI 2020 PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation EMNLP 2020