batch normalization

222 papers

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Also known as

BIN BN BATCHNORM

Co-occurring keywords

neural network optimization (1293) convolutional neural network (4216) neural network (6616) model compression (3283) domain adaptation (4578) deep neural network (1801) layer normalization (65) test-time adaptation (307) adversarial robustness (1335) neural network training (309)

Papers

Test Time Adaptation Using Adaptive Quantile Recalibration WACV 2026

Improving Batch Normalization with Test-Time Adaptation for Robust Object Detection in Self-Driving AAAI 2026

Logit-Adjusted Test-Time Adaptation under Partial Class Imbalance WACV 2026

Rethinking Long-tailed Dataset Distillation: A Uni-Level Framework with Unbiased Recovery and Relabeling AAAI 2026

Learning to Normalize on the SPD Manifold under Bures-Wasserstein Geometry CVPR 2025

FuocChuVIP123 at CoMeDi Shared Task: Disagreement Ranking with XLM-Roberta Sentence Embeddings and Deep Neural Regression COLING 2025

Universal Backdoor Defense via Label Consistency in Vertical Federated Learning IJCAI 2025

ESBN: Estimation Shift of Batch Normalization for Source-free Universal Domain Adaptation IJCAI 2025

Population Normalization for Federated Learning CVPR 2025

Reducing Divergence in Batch Normalization for Domain Adaptation AAAI 2025

Tiling artifacts and trade-offs of feature normalization in the segmentation of large biological images ICCV 2025

Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers. AAAI 2025

RETRACTED: GEONet: Global Enhancement and Optimization Network for Lane Detection AAAI 2025

DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection ICCV 2025

Dynamic Group Normalization: Spatio-Temporal Adaptation to Evolving Data Statistics CVPR 2025

Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective AISTATS 2024

SE/BN Adapter: Parametric Efficient Domain Adaptation for Speaker Recognition INTERSPEECH 2024

Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning AAAI 2024

Improving Normalization With the James-Stein Estimator WACV 2024

Batch Normalization Is Blind to the First and Second Derivatives of the Loss AAAI 2024

Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods CVPR 2024

Towards Domain-Aware Knowledge Distillation for Continual Model Generalization WACV 2024

Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation CVPR 2024

Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization AAAI 2024

Spectrum Extraction and Clipping for Implicitly Linear Layers AISTATS 2024