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Out-of-Distribution Generalization

Papers

Showing 501516 of 516 papers

TitleStatusHype
Curriculum in Gradient-Based Meta-Reinforcement Learning0
Big Transfer (BiT): General Visual Representation LearningCode2
AugMix: A Simple Data Processing Method to Improve Robustness and UncertaintyCode1
Towards Fairness in Visual Recognition: Effective Strategies for Bias MitigationCode0
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case GeneralizationCode1
Increasing Robustness to Spurious Correlations using Forgettable Examples0
Negative Sampling in Variational Autoencoders0
Test-Time Training for Out-of-Distribution Generalization0
Invariant Risk MinimizationCode1
Towards Task and Architecture-Independent Generalization Gap PredictorsCode0
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesCode1
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustnessCode1
Assessing Generalization in Deep Reinforcement LearningCode0
mixup: Beyond Empirical Risk MinimizationCode1
Improved Regularization of Convolutional Neural Networks with CutoutCode1
Deep Residual Learning for Image RecognitionCode4
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