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Generalization

88 directly classified papers

Papers per year

Papers

On Evaluating Multilingual Compositional Generalization with Translated Datasets ACL 2023
Which Shortcut Solution Do Question Answering Models Prefer to Learn? AAAI 2023
Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023? ACL 2023
On the Limitations of Simulating Active Learning ACL 2023
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies NIPS 2023
Generalization in the Face of Adaptivity: A Bayesian Perspective NIPS 2023
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task NIPS 2023
MoCoDA: Model-based Counterfactual Data Augmentation NIPS 2022
Reducing Flipping Errors in Deep Neural Networks AAAI 2022
Overcoming a Theoretical Limitation of Self-Attention ACL 2022
Exploiting Explainable Metrics for Augmented SGD CVPR 2022
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions With Superior OOD Generalization CVPR 2022
Reflash Dropout in Image Super-Resolution CVPR 2022
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment EMNLP 2022
Unobserved Local Structures Make Compositional Generalization Hard EMNLP 2022
GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization EMNLP 2022
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems EMNLP 2022
Revisit Systematic Generalization via Meaningful Learning EMNLP 2022
Learning sparse features can lead to overfitting in neural networks NIPS 2022
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference NIPS 2022
Neuron with Steady Response Leads to Better Generalization NIPS 2022
SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks NIPS 2022
Rethinking Value Function Learning for Generalization in Reinforcement Learning NIPS 2022
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics EMNLP 2021
Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract) AAAI 2021