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entropy minimization

67 papers

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Also known as

EM GEM

Co-occurring keywords

test-time adaptation (307) domain adaptation (4578) distribution shift (711) semi-supervised learning (2331) domain shift (309) unsupervised domain adaptation (441) semantic segmentation (3179) vision-language model (2235) unsupervised learning (3255) self-supervised learning (3751)

Papers

SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization INTERSPEECH 2023
Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction EACL 2023
Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data CVPR 2023
DomainAdaptor: A Novel Approach to Test-time Adaptation ICCV 2023
SoTTA: Robust Test-Time Adaptation on Noisy Data Streams NIPS 2023
GaIA: Graphical Information Gain Based Attention Network for Weakly Supervised Point Cloud Semantic Segmentation WACV 2023
TIPI: Test Time Adaptation With Transformation Invariance CVPR 2023
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification IJCAI 2023
Test Time Adaptation via Conjugate Pseudo-labels NIPS 2022
Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images MLHC 2022
Efficient Test-Time Model Adaptation without Forgetting ICML 2022
MEMO: Test Time Robustness via Adaptation and Augmentation NIPS 2022
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering CVPR 2022
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift AISTATS 2022
Co-Regularized Adversarial Learning for Multi-Domain Text Classification AISTATS 2022
Dist-PU: Positive-Unlabeled Learning From a Label Distribution Perspective CVPR 2022
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR 2021
Uncertainty Reduction for Model Adaptation in Semantic Segmentation CVPR 2021
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks CVPR 2021
Bayesian Adaptation for Covariate Shift NIPS 2021
DeCEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy Minimization NAACL 2021
Unsupervised Metric Learning with Synthetic Examples AAAI 2020
Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation IJCAI 2020
Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations CVPR 2020
Self-training Avoids Using Spurious Features Under Domain Shift NIPS 2020