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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

11 February 2015

Sergey Ioffe

Christian Szegedy

OOD

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Papers citing "Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift"

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Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget Johannes Lehner Benedikt Alkin Andreas Fürst Elisabeth Rumetshofer Lukas Miklautz Sepp Hochreiter 119 18 0 20 Apr 2023
Using Mobile Data and Deep Models to Assess Auditory Verbal Hallucinations Shayan Mirjafari Subigya Nepal Weichen Wang Andrew T. Campbell 33 0 0 20 Apr 2023
Multi-view Vision-Prompt Fusion Network: Can 2D Pre-trained Model Boost 3D Point Cloud Data-scarce Learning? Hao Peng Baopu Li Bo Zhang Xin Chen Tao Chen Erik Cambria 3DPC 99 1 0 20 Apr 2023
Knowledge Distillation Under Ideal Joint Classifier Assumption Huayu Li Xiwen Chen G. Ditzler Janet Roveda Ao Li 46 1 0 19 Apr 2023
NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models Seung Wook Kim Bradley Brown K. Yin Karsten Kreis Katja Schwarz Daiqing Li Robin Rombach Antonio Torralba Sanja Fidler VGen 112 63 0 19 Apr 2023
Improving Post-Training Quantization on Object Detection with Task Loss-Guided Lp Metric Lin Niu Jia-Wen Liu Zhihang Yuan Dawei Yang Xinggang Wang Wenyu Liu MQ 63 2 0 19 Apr 2023
EC^2: Emergent Communication for Embodied Control Yao Mu Shunyu Yao Mingyu Ding Ping Luo Chuang Gan LM&Ro 79 20 0 19 Apr 2023
Information Geometrically Generalized Covariate Shift Adaptation Masanari Kimura H. Hino OOD 61 7 0 19 Apr 2023
Quantum machine learning for image classification Arsenii Senokosov Alexander Sedykh Asel Sagingalieva Basil Kyriacou A. Melnikov VLM 83 82 0 18 Apr 2023
D2CSE: Difference-aware Deep continuous prompts for Contrastive Sentence Embeddings HyunJae Lee VLM 54 0 0 18 Apr 2023
A Comparison of Image Denoising Methods Zhaoming Kong Fang Deng Haomin Zhuang Jun Yu Lifang He Xiaowei Yang 103 7 0 18 Apr 2023
New Product Development (NPD) through Social Media-based Analysis by Comparing Word2Vec and BERT Word Embeddings Princessa Cintaqia Matheus Inoue 19 1 0 17 Apr 2023
Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients Ángel Víctor Juanco-Müller João F. C. Mota K. Goatman C. Hoogendoorn 61 2 0 17 Apr 2023
LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient Training in Deep Spiking Neural Networks Di Hong Jiangrong Shen Yu Qi Yueming Wang 52 7 0 17 Apr 2023
Ranking Loss and Sequestering Learning for Reducing Image Search Bias in Histopathology Pooria Mazaheri Azam Asilian Bidgoli Shahryar Rahnamayan H. R. Tizhoosh OOD 61 6 0 15 Apr 2023
Phantom Embeddings: Using Embedding Space for Model Regularization in Deep Neural Networks Mofassir ul Islam Arif M. Jameel Josif Grabocka Lars Schmidt-Thieme 28 0 0 14 Apr 2023
Directly Optimizing IoU for Bounding Box Localization Mofassir ul Islam Arif M. Jameel Lars Schmidt-Thieme 32 1 0 14 Apr 2023
The R-mAtrIx Net Shailesh Lal Suvajit Majumder E. Sobko 43 5 0 14 Apr 2023
PARFormer: Transformer-based Multi-Task Network for Pedestrian Attribute Recognition Xinwen Fan Yukang Zhang Yang Lu Hanzi Wang ViT 81 31 0 14 Apr 2023
DCFace: Synthetic Face Generation with Dual Condition Diffusion Model Minchul Kim Feng Liu Anil Jain Xiaoming Liu DiffM 111 120 0 14 Apr 2023
End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs Javier Campos Zhen Dong Javier Mauricio Duarte A. Gholami Michael W. Mahoney Jovan Mitrevski Nhan Tran MQ 60 3 0 13 Apr 2023
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser Astha Verma A. Subramanyam Siddhesh Bangar Naman Lal R. Shah Shiníchi Satoh 123 5 0 13 Apr 2023
ASR: Attention-alike Structural Re-parameterization Shan Zhong Zhongzhan Huang Wushao Wen Jinghui Qin Liang Lin 115 6 0 13 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 90 0 0 13 Apr 2023
Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution Z. Su Jiehua Zhang Tianpeng Liu Zhen Liu Shuanghui Zhang M. Pietikäinen Li Liu 70 2 0 13 Apr 2023
Dynamic Mobile-Former: Strengthening Dynamic Convolution with Attention and Residual Connection in Kernel Space Seokju Yun Youngmin Ro ViT 56 2 0 13 Apr 2023
AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection Wentao Zhu Yufang Huang Xi Xie Wenxian Liu Jincan Deng Debing Zhang Zhangyang Wang Ji Liu 70 17 0 12 Apr 2023
$$E(3) \times SO(3)$-Equivariant Networks for Spherical Deconvolution in Diffusion MRI$ $E(3) \times SO(3)$ -Equivariant Networks for Spherical Deconvolution in Diffusion MRI Axel Elaldi Guido Gerig Neel Dey MedIm 80 3 0 12 Apr 2023
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Best Practices for 2-Body Pose Forecasting Muhammad Rameez Ur Rahman Luca Scofano Edoardo De Matteis Alessandro Flaborea Alessio Sampieri Fabio Galasso 88 10 0 12 Apr 2023
CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data Chen Zhao Anqi Liu Xiao Zhang Xuewei Cao Zhengming Ding Q. Sha Hui Shen Hong-Wen Deng Weihua Zhou 46 2 0 12 Apr 2023
Lecture Notes: Neural Network Architectures Evelyn Herberg 3DH 76 3 0 11 Apr 2023
A priori compression of convolutional neural networks for wave simulators Hamza Boukraichi N. Akkari F. Casenave David Ryckelynck 58 2 0 11 Apr 2023
PlantDet: A benchmark for Plant Detection in the Three-Rivers-Source Region Huanhuan Li Xuechao Zou Yu-an Zhang Jiangcai Zhaba Guomei Li Lamao Yongga 65 0 0 11 Apr 2023
Learning to Detect Touches on Cluttered Tables Norberto A. Goussies Kenji Hata Shruthi Prabhakara Abhishek Amit Tony Aubé ... Brett Rampata Carlos Sobrinho George Sung Natalie Zauhar Palash Nandy 40 2 0 10 Apr 2023
Localise to segment: crop to improve organ at risk segmentation accuracy Abraham George Smith Denis Kutnár I. Vogelius S. Darkner Jens Petersen SSeg 69 2 0 10 Apr 2023
An Efficient Transfer Learning-based Approach for Apple Leaf Disease Classification Md. Hamjajul Ashmafee Tasnim Ahmed Sabbir Ahmed Md. Bakhtiar Hasan Mst. Nura Jahan A. A. Ashikur Rahman 65 8 0 10 Apr 2023
Bayesian optimization for sparse neural networks with trainable activation functions M. Fakhfakh Lotfi Chaari 123 4 0 10 Apr 2023
Inferring Fluid Dynamics via Inverse Rendering Jinxian Liu Ye Chen Bingbing Ni Jiyao Mao Zhenbo Yu 3DH AI4CE 63 5 0 10 Apr 2023
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning Deepak Ravikumar Gobinda Saha Sai Aparna Aketi Kaushik Roy 94 2 0 09 Apr 2023
AGAD: Adversarial Generative Anomaly Detection Jian Shi Ni Zhang 97 0 0 09 Apr 2023
Similarity-Aware Multimodal Prompt Learning for Fake News Detection Ye Jiang Xiaomin Yu Yimin Wang Xiaoman Xu Xingyi Song Diana Maynard 85 27 0 09 Apr 2023
SparseFormer: Sparse Visual Recognition via Limited Latent Tokens Ziteng Gao Zhan Tong Limin Wang Mike Zheng Shou 60 10 0 07 Apr 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review Li Shen Yan Sun Zhiyuan Yu Liang Ding Xinmei Tian Dacheng Tao VLM 105 43 0 07 Apr 2023
Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey Avijoy Chakma A. Faridee Indrajeet Ghosh Nirmalya Roy 117 4 0 07 Apr 2023
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