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

Are Sample-Efficient NLP Models More Robust? ACL 2023
Towards Distribution-shift Robust Text Classification of Emotional Content ACL 2023
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective ACL 2023
Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck CVPR 2023
Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization CVPR 2023
NICO++: Towards Better Benchmarking for Domain Generalization CVPR 2023
A Whac-a-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others CVPR 2023
ActMAD: Activation Matching To Align Distributions for Test-Time-Training CVPR 2023
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis MIDL 2023
Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation AISTATS 2023
Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future EMNLP 2023
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank EMNLP 2023
Let’s Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models EMNLP 2023
Better Practices for Domain Adaptation AUTOML 2023
ODS: Test-Time Adaptation in the Presence of Open-World Data Shift ICML 2023
SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems NIPS 2023
When Can We Track Significant Preference Shifts in Dueling Bandits? NIPS 2023
SODA: Robust Training of Test-Time Data Adaptors NIPS 2023
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data NIPS 2023
On the Adversarial Robustness of Out-of-distribution Generalization Models NIPS 2023
Target-Aware Generative Augmentations for Single-Shot Adaptation ICML 2023
In Search for a Generalizable Method for Source Free Domain Adaptation ICML 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift ICML 2023
Structural Re-weighting Improves Graph Domain Adaptation ICML 2023
Taxonomy-Structured Domain Adaptation ICML 2023