conftrace_

distribution shift

722 papers

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Also known as

DS

Co-occurring keywords

domain adaptation (4595) domain generalization (1522) out-of-distribution detection (617) test-time adaptation (312) out-of-distribution generalization (408) causal inference (1630) representation learning (6206) transfer learning (5449) covariate shift (157) graph neural network (3962)

Papers

Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval CVPR 2021
CrossNorm and SelfNorm for Generalization Under Distribution Shifts ICCV 2021
On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift JMLR 2021
Predicting With Confidence on Unseen Distributions ICCV 2021
Detoxifying Language Models Risks Marginalizing Minority Voices NAACL 2021
Online Continual Learning With Natural Distribution Shifts: An Empirical Study With Visual Data ICCV 2021
Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization ICML 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts ICML 2021
Environment Inference for Invariant Learning ICML 2021
Adaptive Risk Minimization: Learning to Adapt to Domain Shift NIPS 2021
Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN EMNLP 2021
AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation CVPR 2021
Instabilities of Offline RL with Pre-Trained Neural Representation ICML 2021
Robustness via Cross-Domain Ensembles ICCV 2021
On Robust Mean Estimation under Coordinate-level Corruption ICML 2021
Limitations of Post-Hoc Feature Alignment for Robustness CVPR 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations ICML 2021
Conservative Objective Models for Effective Offline Model-Based Optimization ICML 2021
A nonparametric method for gradual change problems with statistical guarantees NIPS 2021
Introspective Distillation for Robust Question Answering NIPS 2021
IRM—when it works and when it doesn't: A test case of natural language inference NIPS 2021
Towards a Theoretical Framework of Out-of-Distribution Generalization NIPS 2021
Towards Context-Agnostic Learning Using Synthetic Data NIPS 2021
Robustness and Adversarial Examples in Natural Language Processing EMNLP 2021
Accurate and Robust Feature Importance Estimation under Distribution Shifts AAAI 2021