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batch normalization

271 papers

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Also known as

BN BATCHNORM

Co-occurring keywords · papers mentioning both

neural network optimization (42) convolutional neural network (30) neural network (26) model compression (25) domain adaptation (23) deep neural network (21) test-time adaptation (19) gradient descent (15) layer normalization (15) adversarial robustness (15)

Papers

Batch normalization is sufficient for universal function approximation in CNNs ICLR 2024 Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods CVPR 2024 CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity ICLR 2024 Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation CVPR 2024 Efficient ConvBN Blocks for Transfer Learning and Beyond ICLR 2024 EntProp: High Entropy Propagation for Improving Accuracy and Robustness UAI 2024 FedWon: Triumphing Multi-domain Federated Learning Without Normalization ICLR 2024 GRANOLA: Adaptive Normalization for Graph Neural Networks NeurIPS 2024 IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency ICML 2024 Improving Neural ODE Training with Temporal Adaptive Batch Normalization NeurIPS 2024 Improving Normalization With the James-Stein Estimator WACV 2024 Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective AISTATS 2024 MedBN: Robust Test-Time Adaptation against Malicious Test Samples CVPR 2024 MIND: Multi-Task Incremental Network Distillation AAAI 2024 NanoAdapt: Mitigating Negative Transfer in Test Time Adaptation with Extremely Small Batch Sizes IJCAI 2024 Online Stabilization of Spiking Neural Networks ICLR 2024 Purifying Quantization-conditioned Backdoors via Layer-wise Activation Correction with Distribution Approximation ICML 2024 SE/BN Adapter: Parametric Efficient Domain Adaptation for Speaker Recognition Interspeech 2024 Spectrum Extraction and Clipping for Implicitly Linear Layers AISTATS 2024 TAB: Temporal Accumulated Batch Normalization in Spiking Neural Networks ICLR 2024 Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization AAAI 2024 Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning AAAI 2024 Towards Domain-Aware Knowledge Distillation for Continual Model Generalization WACV 2024 Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization AAAI 2024 Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion ICLR 2024