Co-occurring keywords · papers mentioning both
Papers
Variance Minimization in the Wasserstein Space for Invariant Causal Prediction
AISTATS 2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints
NeurIPS 2022
Vision Transformers Are Robust Learners
AAAI 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
NeurIPS 2022
What Do We Mean by Generalization in Federated Learning?
ICLR 2022
Wide Neural Networks Forget Less Catastrophically
ICML 2022
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
NeurIPS 2022
Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization
ICML 2021
Accurate and Robust Feature Importance Estimation under Distribution Shifts
AAAI 2021
Adaptive Conformal Inference Under Distribution Shift
NeurIPS 2021
Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval
CVPR 2021
Adaptive Risk Minimization: Learning to Adapt to Domain Shift
NeurIPS 2021
An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers
NeurIPS 2021
An Information-theoretic Approach to Distribution Shifts
NeurIPS 2021
A nonparametric method for gradual change problems with statistical guarantees
NeurIPS 2021
Approximate Distributionally Robust Nonlinear Optimization with Application to Model Predictive Control: A Functional Approach
L4DC 2021
AugMax: Adversarial Composition of Random Augmentations for Robust Training
NeurIPS 2021
AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation
CVPR 2021
Bayesian Adaptation for Covariate Shift
NeurIPS 2021
Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN
EMNLP 2021
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
NeurIPS 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
NeurIPS 2021
Conservative Objective Models for Effective Offline Model-Based Optimization
ICML 2021
Contemplating Real-World Object Classification
ICLR 2021
CrossNorm and SelfNorm for Generalization Under Distribution Shifts
ICCV 2021