conftrace_

distributional shift

60 papers

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Co-occurring keywords

offline reinforcement learning (492) domain generalization (1522) distribution shift (722) out-of-distribution generalization (408) out-of-distribution detection (617) data augmentation (3052) domain adaptation (4595) causal inference (1630) transfer learning (5449) distributionally robust optimization (185)

Papers

The s-value: evaluating stability with respect to distributional shifts NIPS 2023
Bi-Level Offline Policy Optimization with Limited Exploration NIPS 2023
In the Eye of the Beholder: Robust Prediction with Causal User Modeling NIPS 2022
DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning NIPS 2022
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks ICML 2022
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning NIPS 2022
Data-Driven Offline Decision-Making via Invariant Representation Learning NIPS 2022
Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics EMNLP 2022
Offline-to-Online Co-Evolutional User Simulator and Dialogue System EMNLP 2022
Neural Mean Discrepancy for Efficient Out-of-Distribution Detection CVPR 2022
Constrained Offline Policy Optimization ICML 2022
How to Leverage Unlabeled Data in Offline Reinforcement Learning ICML 2022
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms AAAI 2022
Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits IJCAI 2022
Stable Adversarial Learning under Distributional Shifts AAAI 2021
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation ICML 2021
Recovering Latent Causal Factor for Generalization to Distributional Shifts NIPS 2021
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data NIPS 2021
Offline Reinforcement Learning with Reverse Model-based Imagination NIPS 2021
Heterogeneous Risk Minimization ICML 2021
Learning to Perturb Word Embeddings for Out-of-distribution QA ACL 2021
On Robustness and Transferability of Convolutional Neural Networks CVPR 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild NIPS 2021
Dealing with the Unknown: Pessimistic Offline Reinforcement Learning CORL 2021
Continual Quality Estimation with Online Bayesian Meta-Learning IJCNLP 2021