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

Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization ICML 2022
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification ICML 2022
Sequential Covariate Shift Detection Using Classifier Two-Sample Tests ICML 2022
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks ICML 2022
Diverse Weight Averaging for Out-of-Distribution Generalization NIPS 2022
AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection NIPS 2022
Learning Substructure Invariance for Out-of-Distribution Molecular Representations NIPS 2022
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning IJCAI 2022
Exploring Domain-Invariant Parameters for Source Free Domain Adaptation CVPR 2022
Robust Fine-Tuning of Zero-Shot Models CVPR 2022
Forecasting Patient Outcomes in Kidney Exchange IJCAI 2022
DASO: Distribution-Aware Semantics-Oriented Pseudo-Label for Imbalanced Semi-Supervised Learning CVPR 2022
Robust Cross-Modal Representation Learning With Progressive Self-Distillation CVPR 2022
Test-Time Training with Masked Autoencoders NIPS 2022
Estimating and Explaining Model Performance When Both Covariates and Labels Shift NIPS 2022
Searching for Optimal Subword Tokenization in Cross-domain NER IJCAI 2022
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering NIPS 2022
Unsupervised Learning under Latent Label Shift NIPS 2022
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning EMNLP 2022
Offline Meta-Reinforcement Learning with Online Self-Supervision ICML 2022
Unsupervised training data re-weighting for natural language understanding with local distribution approximation EMNLP 2022
Vision Transformers Are Robust Learners AAAI 2022
Robust Question Answering against Distribution Shifts with Test-Time Adaption: An Empirical Study EMNLP 2022
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP) ICML 2022
Text-Based Interactive Recommendation via Offline Reinforcement Learning AAAI 2022