Co-occurring keywords · papers mentioning both
Papers
Bypassing the Transport Plan: Dynamic Reweighting for Out-of-Distribution Detection with Optimal Transport
CVPR 2026
M-Loss: Quantifying Model Merging Compatibility with Limited Unlabeled Data
AAAI 2026
Semi-supervised learning for linear extremile regression
JMLR 2026
Adapting Prediction Sets to Distribution Shifts Without Labels
UAI 2025
All models are wrong, some are useful: Model Selection with Limited Labels
AISTATS 2025
CGMatch: A Different Perspective of Semi-supervised Learning
CVPR 2025
Learn How to Query from Unlabeled Data Streams in Federated Learning
AAAI 2025
Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers
AAAI 2025
Leveraging Unlabeled Audio-Visual Data in Speech Emotion Recognition using Knowledge Distillation
Interspeech 2025
Multisensory Machine Intelligence
AAAI 2025
Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model
ICLR 2025
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection
CVPR 2025
TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency
ACL 2025
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift
ICML 2025
Unleashing the Potential of Model Bias for Generalized Category Discovery
AAAI 2025
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
CVPR 2025
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
IJCAI 2024
AUC Optimization from Multiple Unlabeled Datasets
AAAI 2024
Audio-Visual Segmentation via Unlabeled Frame Exploitation
CVPR 2024
Consistent Multi-Class Classification from Multiple Unlabeled Datasets
ICLR 2024
Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design
ICML 2024
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation
ICLR 2024
Controller-Guided Partial Label Consistency Regularization with Unlabeled Data
AAAI 2024
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
CVPR 2024
Evolutionary Generalized Zero-Shot Learning
IJCAI 2024