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Out-of-Distribution Generalization

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TitleStatusHype
Case-based Reasoning for Better Generalization in Textual Reinforcement Learning—0
Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLICode0
The Connection between Out-of-Distribution Generalization and Privacy of ML ModelsCode1
Compositional generalization in semantic parsing with pretrained transformersCode0
BLOOD: Bi-level Learning Framework for Out-of-distribution Generalization—0
An Empirical Study of Pre-trained Models on Out-of-distribution Generalization—0
Locally Invariant Explanations: Towards Causal Explanations through Local Invariant Learning—0
Domain-wise Adversarial Training for Out-of-Distribution Generalization—0
Transformers are Meta-Reinforcement Learners—0
Invariant Causal Representation Learning for Out-of-Distribution Generalization—0
Brain insights improve RNNs' accuracy and robustness for hierarchical control of continually learned autonomous motor motifs—0
A Closer Look at Distribution Shifts and Out-of-Distribution Generalization on Graphs—0
Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic MathematicsCode1
Adaptive Pseudo-labeling for Quantum Calculations—0
Target Languages (vs. Inductive Biases) for Learning to Act and Plan—0
Entity-Based Knowledge Conflicts in Question AnsweringCode1
Fishr: Invariant Gradient Variances for Out-of-Distribution GeneralizationCode1
NAS-OoD: Neural Architecture Search for Out-of-Distribution GeneralizationCode1
On the Out-of-distribution Generalization of Probabilistic Image ModellingCode1
How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation?Code0
Towards Out-Of-Distribution Generalization: A Survey—0
Disentangled Generative Models for Robust Prediction of System DynamicsCode1
BloomNet: A Robust Transformer based model for Bloom's Learning Outcome Classification—0
Exploring Out-of-Distribution Generalization in Text Classifiers Trained on Tobacco-3482 and RVL-CDIP—0
Towards robust vision by multi-task learning on monkey visual cortexCode1
X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question AnsweringCode0
Just Train Twice: Improving Group Robustness without Training Group InformationCode1
Generalization of graph network inferences in higher-order graphical models—0
MixStyle Neural Networks for Domain Generalization and Adaptation—0
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious CorrelationsCode0
Adversarial Invariant LearningCode0
Delving Deep into the Generalization of Vision Transformers under Distribution ShiftsCode1
Representation Learning for Out-of-distribution Generalization in Reinforcement Learning—0
Robust Representation Learning via Perceptual Similarity Metrics—0
Invariance Principle Meets Information Bottleneck for Out-of-Distribution GeneralizationCode1
Towards a Theoretical Framework of Out-of-Distribution Generalization—0
Meta-Learning to Compositionally GeneralizeCode1
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution GeneralizationCode1
Quantifying and Improving Transferability in Domain GeneralizationCode1
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?—0
Out-of-Distribution Generalization in Kernel RegressionCode0
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement LearningCode1
Towards Robust Classification Model by Counterfactual and Invariant Data GenerationCode1
Goal Misgeneralization in Deep Reinforcement LearningCode1
Robust Object Detection via Instance-Level Temporal Cycle ConfusionCode1
Deep Stable Learning for Out-Of-Distribution GeneralizationCode1
Paired Examples as Indirect Supervision in Latent Decision Models—0
An Empirical Study of Training Self-Supervised Vision TransformersCode1
Tasting the cake: evaluating self-supervised generalization on out-of-distribution multimodal MRI dataCode0
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning—0
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