conftrace_

distributional shift

60 papers

Explore in graph

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

Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments AAAI 2026
Revealing Hidden Failure Modes in Chest X-ray Classification via Spectral Domain Analysis MIDL 2026
Dynamic Uncertainty Estimation for Offline Reinforcement Learning AAAI 2025
From Distributional to Overton Pluralism: Investigating Large Language Model Alignment NAACL 2025
MARS: Benchmarking the Metaphysical Reasoning Abilities of Language Models with a Multi-task Evaluation Dataset ACL 2025
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces AISTATS 2024
Enhancing Distributional Stability among Sub-populations AISTATS 2024
Limitations of Face Image Generation AAAI 2024
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes NIPS 2024
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset NIPS 2024
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise NIPS 2024
The s-value: evaluating stability with respect to distributional shifts NIPS 2023
Efficient Reinforcement Learning Through Trajectory Generation L4DC 2023
Sample Complexity for Distributionally Robust Learning under chi-square divergence JMLR 2023
Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning NIPS 2023
Bi-Level Offline Policy Optimization with Limited Exploration NIPS 2023
Statistical Depth for Ranking and Characterizing Transformer-Based Text Embeddings EMNLP 2023
Auxiliary Losses for Learning Generalizable Concept-based Models NIPS 2023
Exploring Distributional Shifts in Large Language Models for Code Analysis EMNLP 2023
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts NIPS 2023
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP EMNLP 2023
CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing IJCAI 2023
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection ACL 2023
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks ACL 2023
Internal Robust Representations for Domain Generalization AAAI 2023