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

Universal Novelty Detection Through Adaptive Contrastive Learning CVPR 2024
Efficient imitation learning with conservative world models L4DC 2024
Your Transferability Barrier is Fragile: Free-Lunch for Transferring the Non-Transferable Learning CVPR 2024
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations NIPS 2024
Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment NIPS 2024
Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox NIPS 2024
De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts CVPR 2024
How safe am I given what I see? Calibrated prediction of safety chances for image-controlled autonomy L4DC 2024
On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation CVPR 2024
Learning Under Random Distributional Shifts AISTATS 2024
Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting NIPS 2024
Domain Gap Embeddings for Generative Dataset Augmentation CVPR 2024
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts NIPS 2024
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees CVPR 2024
DA3: A Distribution-Aware Adversarial Attack against Language Models EMNLP 2024
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation CVPR 2024
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model NIPS 2024
Enhancing Distributional Stability among Sub-populations AISTATS 2024
CaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving CVPR 2024
Any-Shift Prompting for Generalization over Distributions CVPR 2024
Representation Alignment and Adversarial Networks for Cross-lingual Dependency Parsing EMNLP 2024
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation CVPR 2024
Distance-aware Calibration for Pre-trained Language Models EMNLP 2024
MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts NIPS 2024
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift NIPS 2024