conftrace_

distribution shift

722 papers

Explore in graph

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

Mandoline: Model Evaluation under Distribution Shift ICML 2021
AugMax: Adversarial Composition of Random Augmentations for Robust Training NIPS 2021
Bayesian Adaptation for Covariate Shift NIPS 2021
An Information-theoretic Approach to Distribution Shifts NIPS 2021
Encoding Robustness to Image Style via Adversarial Feature Perturbations NIPS 2021
An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers NIPS 2021
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning NIPS 2021
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data ICML 2021
Evaluating Model Robustness and Stability to Dataset Shift AISTATS 2021
Learning from Biased Data: A Semi-Parametric Approach ICML 2021
Outside the Echo Chamber: Optimizing the Performative Risk ICML 2021
Why did the distribution change? AISTATS 2021
Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation CVPR 2021
Deep Stable Learning for Out-of-Distribution Generalization CVPR 2021
ODIST: Open World Classification via Distributionally Shifted Instances EMNLP 2021
How to Learn when Data Reacts to Your Model: Performative Gradient Descent ICML 2021
On Robustness and Transferability of Convolutional Neural Networks CVPR 2021
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction NIPS 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning NIPS 2021
Robust Generalization despite Distribution Shift via Minimum Discriminating Information NIPS 2021
Robust Federated Learning: The Case of Affine Distribution Shifts NIPS 2020
Multidimensional Shape Constraints ICML 2020
Towards Non-Parametric Drift Detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD) ICML 2020
Understanding Self-Training for Gradual Domain Adaptation ICML 2020
Performative Prediction ICML 2020