conftrace_

distribution shift

985 papers

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Also known as

DS

Co-occurring keywords · papers mentioning both

domain adaptation (174) domain generalization (160) test-time adaptation (78) out-of-distribution detection (74) out-of-distribution generalization (65) representation learning (48) causal inference (47) transfer learning (39) offline reinforcement learning (37) graph neural network (36)

Papers

ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift ICLR 2024 Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution NeurIPS 2024 Rethinking Propagation for Unsupervised Graph Domain Adaptation AAAI 2024 Rethinking Score Distillation as a Bridge Between Image Distributions NeurIPS 2024 Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox NeurIPS 2024 Rethinking the Evaluation Protocol of Domain Generalization CVPR 2024 RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction AAAI 2024 Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation NeurIPS 2024 Robust Conformal Prediction Using Privileged Information NeurIPS 2024 Robust Fine-tuning of Zero-shot Models via Variance Reduction NeurIPS 2024 Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement ICLR 2024 Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup ICML 2024 Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection NeurIPS 2024 Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments NeurIPS 2024 Shape-Biased CNNs Are Not Always Superior in Out-of-Distribution Robustness WACV 2024 SpOiLer: Offline reinforcement learning using scaled penalties L4DC 2024 Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data ICLR 2024 STAF: Pushing the Boundaries of Test-Time Adaptation towards Practical Noise Scenarios COLING 2024 Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation ICML 2024 Statistical Inference Under Constrained Selection Bias ICML 2024 Statistical Properties of Robust Satisficing ICML 2024 Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss NeurIPS 2024 Supervised Algorithmic Fairness in Distribution Shifts: A Survey IJCAI 2024 TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules ICML 2024 Testable Learning with Distribution Shift COLT 2024