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

NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation NIPS 2022
Fairness Transferability Subject to Bounded Distribution Shift NIPS 2022
An Investigation of the (In)effectiveness of Counterfactually Augmented Data ACL 2022
Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts NIPS 2022
Domain Adaptation meets Individual Fairness. And they get along. NIPS 2022
The Trade-offs of Domain Adaptation for Neural Language Models ACL 2022
The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error ACL 2022
Practical Benefits of Feature Feedback Under Distribution Shift EMNLP 2022
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition NIPS 2022
DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning NIPS 2022
Describing Differences between Text Distributions with Natural Language ICML 2022
Improving Out-of-Distribution Robustness via Selective Augmentation ICML 2022
Generalized Federated Learning via Sharpness Aware Minimization ICML 2022
Efficient Test-Time Model Adaptation without Forgetting ICML 2022
On the Impact of Spurious Correlation for Out-of-Distribution Detection AAAI 2022
Provable Guarantees for Understanding Out-of-Distribution Detection AAAI 2022
FigMemes: A Dataset for Figurative Language Identification in Politically-Opinionated Memes EMNLP 2022
Transfer Learning In Differential Privacy’s Hybrid-Model ICML 2022
Causally motivated multi-shortcut identification and removal NIPS 2022
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings NIPS 2022
Robust Calibration with Multi-domain Temperature Scaling NIPS 2022
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control ICML 2022
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses ICML 2022
Delving Into the Estimation Shift of Batch Normalization in a Network CVPR 2022
Delving Deep Into the Generalization of Vision Transformers Under Distribution Shifts CVPR 2022