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

On the Variance of Neural Network Training with respect to Test Sets and Distributions ICLR 2024 OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift ICML 2024 Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift NeurIPS 2024 Optimal Classification under Performative Distribution Shift NeurIPS 2024 Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL NeurIPS 2024 Oracle-Efficient Pessimism: Offline Policy Optimization In Contextual Bandits AISTATS 2024 PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees CVPR 2024 Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception CoRL 2024 Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts AAAI 2024 Performative Reinforcement Learning in Gradually Shifting Environments UAI 2024 Persistent Test-time Adaptation in Recurring Testing Scenarios NeurIPS 2024 Personalized Federated Learning via Feature Distribution Adaptation NeurIPS 2024 Predicting Long-Term Allograft Survival in Liver Transplant Recipients MLHC 2024 Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features ICLR 2024 Prospective Learning: Learning for a Dynamic Future NeurIPS 2024 Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach NeurIPS 2024 Proxy Methods for Domain Adaptation AISTATS 2024 Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model NeurIPS 2024 RAMP: Boosting Adversarial Robustness Against Multiple l_p Perturbations for Universal Robustness NeurIPS 2024 Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments ICLR 2024 REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation WACV 2024 REDUCR: Robust Data Downsampling using Class Priority Reweighting NeurIPS 2024 Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs NeurIPS 2024 Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization AAAI 2024 Representation Alignment and Adversarial Networks for Cross-lingual Dependency Parsing EMNLP 2024