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Out-of-Distribution Generalization

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TitleStatusHype
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization—0
Advancing African-Accented Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR ModelsCode0
TransRUPNet for Improved Polyp SegmentationCode0
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution GeneralizationCode1
S^2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp SegmentationCode1
The Tunnel Effect: Building Data Representations in Deep Neural Networks—0
Contextual Vision Transformers for Robust Representation LearningCode1
Determinantal Point Process Attention Over Grid Cell Code Supports Out of Distribution GeneralizationCode0
GVdoc: Graph-based Visual Document ClassificationCode0
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future—0
Modeling the Q-Diversity in a Min-max Play Game for Robust OptimizationCode0
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization—0
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code—0
Invariant Representations in Deep Learning for Optoacoustic Imaging—0
Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics—0
Implicit Counterfactual Data Augmentation for Robust Learning—0
On the Generalization of Learned Structured Representations—0
Understanding and Improving Feature Learning for Out-of-Distribution GeneralizationCode1
Out-of-Variable Generalization for Discriminative Models—0
Predictive Heterogeneity: Measures and Applications—0
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias—0
Improving Generalization with Domain Convex GameCode0
Generalization of Quantum Machine Learning Models Using Quantum Fisher Information Metric—0
Learning Transductions and Alignments with RNN Seq2seq ModelsCode0
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning—0
What Is Missing in IRM Training and Evaluation? Challenges and Solutions—0
In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance—0
Reusable Slotwise Mechanisms—0
Text Classification in the Wild: a Large-scale Long-tailed Name Normalization DatasetCode1
Improving the Out-Of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough—0
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization GuaranteesCode1
Improving Out-of-Distribution Generalization of Neural Rerankers with Contextualized Late Interaction—0
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning—0
Domain Generalization Emerges from Dreaming—0
Generalization on the Unseen, Logic Reasoning and Degree CurriculumCode1
BinaryVQA: A Versatile Test Set to Evaluate the Out-of-Distribution Generalization of VQA ModelsCode0
Invariant Meta Learning for Out-of-Distribution Generalization—0
Causality-based Dual-Contrastive Learning Framework for Domain Generalization—0
1st Place Solution for ECCV 2022 OOD-CV Challenge Image Classification TrackCode0
1st Place Solution for ECCV 2022 OOD-CV Challenge Object Detection TrackCode0
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial OptimizationCode1
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization—0
Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning—0
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization—0
Robust Graph Representation Learning via Predictive Coding—0
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies OthersCode1
Penalizing Confident Predictions on Largely Perturbed Inputs Does Not Improve Out-of-Distribution Generalization in Question Answering—0
Malign Overfitting: Interpolation Can Provably Preclude Invariance—0
Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning—0
Empirical Study on Optimizer Selection for Out-of-Distribution GeneralizationCode0
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