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

Why Is Public Pretraining Necessary for Private Model Training? ICML 2023
On the Impact of Algorithmic Recourse on Social Segregation ICML 2023
Discrete Key-Value Bottleneck ICML 2023
Concept-based Explanations for Out-of-Distribution Detectors ICML 2023
Detecting Out-of-distribution Data through In-distribution Class Prior ICML 2023
Diversity-Aware Meta Visual Prompting CVPR 2023
Adaptation Augmented Model-based Policy Optimization JMLR 2023
Distribution Shift Inversion for Out-of-Distribution Prediction CVPR 2023
Masked Images Are Counterfactual Samples for Robust Fine-Tuning CVPR 2023
TeST: Test-Time Self-Training Under Distribution Shift WACV 2023
Video Test-Time Adaptation for Action Recognition CVPR 2023
TIPI: Test Time Adaptation With Transformation Invariance CVPR 2023
Learning Optimal Features via Partial Invariance AAAI 2023
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization ACL 2023
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise EMNLP 2023
Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation EMNLP 2023
On using distribution-based compositionality assessment to evaluate compositional generalisation in machine translation EMNLP 2023
Improved Test-Time Adaptation for Domain Generalization CVPR 2023
Robust Test-Time Adaptation in Dynamic Scenarios CVPR 2023
Evolving Standardization for Continual Domain Generalization over Temporal Drift NIPS 2023
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts NIPS 2023
How hard are computer vision datasets? Calibrating dataset difficulty to viewing time NIPS 2023
Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts NIPS 2023
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness NIPS 2023
Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift NIPS 2023