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

Learning to Intervene on Concept Bottlenecks ICML 2024 Learning to Reweight for Generalizable Graph Neural Network AAAI 2024 Learning Under Random Distributional Shifts AISTATS 2024 Linear Regression With Unmatched Data: A Deconvolution Perspective JMLR 2024 Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance ICLR 2024 Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior AAAI 2024 MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts NeurIPS 2024 MedBN: Robust Test-Time Adaptation against Malicious Test Samples CVPR 2024 Meta-Reinforcement Learning Robust to Distributional Shift Via Performing Lifelong In-Context Learning ICML 2024 Mind the Graph When Balancing Data for Fairness or Robustness NeurIPS 2024 Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning COLT 2024 Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization JMLR 2024 Multilingual Diversity Improves Vision-Language Representations NeurIPS 2024 Multimodal Graph Neural Architecture Search under Distribution Shifts AAAI 2024 Multi-Source Conformal Inference Under Distribution Shift ICML 2024 NanoAdapt: Mitigating Negative Transfer in Test Time Adaptation with Extremely Small Batch Sizes IJCAI 2024 Nearest Neighbor Sampling for Covariate Shift Adaptation JMLR 2024 OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning NeurIPS 2024 Offline Reward Perturbation Boosts Distributional Shift in Online RL UAI 2024 On f-Divergence Principled Domain Adaptation: An Improved Framework NeurIPS 2024 Online Adaptive Anomaly Thresholding with Confidence Sequences ICML 2024 Online GNN Evaluation Under Test-time Graph Distribution Shifts ICLR 2024 On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift NeurIPS 2024 On the Generalization of Training-based ChatGPT Detection Methods EMNLP 2024 On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation CVPR 2024