conftrace_

distribution shift

722 papers

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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

VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models CVPR 2024
Robust Fine-tuning of Zero-shot Models via Variance Reduction NIPS 2024
Testable Learning with Distribution Shift COLT 2024
Towards Robust Visual Understanding: from Recognition to Reasoning AAAI 2024
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation CVPR 2024
A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks AAAI 2024
Unsupervised Change Point Detection in Multivariate Time Series AISTATS 2024
Distribution Shifts Are Bottlenecks: Extensive Evaluation for Grounding Language Models to Knowledge Bases EACL 2024
On $f$-Divergence Principled Domain Adaptation: An Improved Framework NIPS 2024
Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts AAAI 2024
Fair Participation via Sequential Policies AAAI 2024
Rethinking Propagation for Unsupervised Graph Domain Adaptation AAAI 2024
Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization AAAI 2024
Oracle-Efficient Pessimism: Offline Policy Optimization In Contextual Bandits AISTATS 2024
When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection AAAI 2024
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts AAAI 2024
Optimal Classification under Performative Distribution Shift NIPS 2024
Transportable Representations for Domain Generalization AAAI 2024
Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees AAAI 2024
GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts NIPS 2024
DA3: A Distribution-Aware Adversarial Attack against Language Models EMNLP 2024
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior AAAI 2024
Multimodal Graph Neural Architecture Search under Distribution Shifts AAAI 2024
On the Generalization of Training-based ChatGPT Detection Methods EMNLP 2024
Proxy Methods for Domain Adaptation AISTATS 2024