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

Imitation Learning from Imperfection: Theoretical Justifications and Algorithms NIPS 2023
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective NIPS 2023
Neural Priming for Sample-Efficient Adaptation NIPS 2023
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets NIPS 2023
Characterizing Out-of-Distribution Error via Optimal Transport NIPS 2023
RDumb: A simple approach that questions our progress in continual test-time adaptation NIPS 2023
Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows NIPS 2023
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach NIPS 2023
Auxiliary Losses for Learning Generalizable Concept-based Models NIPS 2023
Online Continual Adaptation with Active Self-Training AISTATS 2022
Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits NIPS 2022
Evaluating Out-of-Distribution Performance on Document Image Classifiers NIPS 2022
Contrastive Adapters for Foundation Model Group Robustness NIPS 2022
Adapting to Online Label Shift with Provable Guarantees NIPS 2022
ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift NIPS 2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization NIPS 2022
Is Out-of-Distribution Detection Learnable? NIPS 2022
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization NIPS 2022
Environment Diversification with Multi-head Neural Network for Invariant Learning NIPS 2022
Single Model Uncertainty Estimation via Stochastic Data Centering NIPS 2022
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time NIPS 2022
Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks NIPS 2022
Models Out of Line: A Fourier Lens on Distribution Shift Robustness NIPS 2022
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning CVPR 2022
Graph Neural Architecture Search Under Distribution Shifts ICML 2022