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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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Title
VRA: Variational Rectified Activation for Out-of-distribution Detection Ming Xu Zheng Lian B. Liu Jianhua Tao OODD 43 10 0 23 Feb 2023
ACE: Zero-Shot Image to Image Translation via Pretrained Auto-Contrastive-Encoder Sihan Xu Zelong Jiang Ruisi Liu Kai-Lin Yang Zhijie Huang VLM 79 1 0 22 Feb 2023
Saliency Guided Contrastive Learning on Scene Images Meilin Chen Yizhou Wang Shixiang Tang Feng Zhu Haiyang Yang Lei Bai Rui Zhao Donglian Qi Wanli Ouyang SSL 98 1 0 22 Feb 2023
A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks S. Emami Gonzalo Martínez-Munoz 55 6 0 22 Feb 2023
Contrastive Representation Learning for Acoustic Parameter Estimation Philipp Götz Cagdas Tuna Andreas Walther Emanuel Habets SSL 42 7 0 22 Feb 2023
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning Jin Zhu Guang Yang Pietro Lio ViT MedIm 107 6 0 22 Feb 2023
Improved uncertainty quantification for neural networks with Bayesian last layer F. Fiedler S. Lucia UQCV BDL 131 14 0 21 Feb 2023
FrankenSplit: Efficient Neural Feature Compression with Shallow Variational Bottleneck Injection for Mobile Edge Computing Alireza Furutanpey Philipp Raith Schahram Dustdar 128 7 0 21 Feb 2023
Two-in-one Knowledge Distillation for Efficient Facial Forgery Detection Chu Zhou Jiajun Huang Daochang Liu Chengbin Du Siqi Ma Surya Nepal Chang Xu 83 0 0 21 Feb 2023
Interval Type-2 Fuzzy Neural Networks for Multi-Label Classification Dayong Tian Fei Li Yiwen Wei 81 0 0 21 Feb 2023
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images K. Yu Li Sun Junxiang Chen Maxwell Reynolds Tigmanshu Chaudhary Kayhan Batmanghelich 109 1 0 21 Feb 2023
On Interpretable Approaches to Cluster, Classify and Represent Multi-Subspace Data via Minimum Lossy Coding Length based on Rate-Distortion Theory Kaige Lu Avraham Chapman 72 0 0 21 Feb 2023
Real-time speech enhancement with dynamic attention span Chengyu Zheng Yuan-yuan Zhou Xiulian Peng Yuanyuan Zhang Yan Lu 61 3 0 21 Feb 2023
Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey Kunlin Wang Zi Wang Zhang Li Ang Su Xichao Teng Minhao Liu Qifeng Yu Qifeng Yu ObjD 219 9 0 21 Feb 2023
Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head Randall Balestriero 97 3 0 20 Feb 2023
A Large Scale Homography Benchmark Dániel Baráth Dmytro Mishkin Michal Polic W. Förstner Juan E. Sala Matas 64 10 0 20 Feb 2023
Optimization Methods in Deep Learning: A Comprehensive Overview D. Shulman ODL 81 7 0 19 Feb 2023
NU-AIR -- A Neuromorphic Urban Aerial Dataset for Detection and Localization of Pedestrians and Vehicles Craig Iaboni Thomas Kelly Pramod Abichandani 77 2 0 18 Feb 2023
Redes Generativas Adversarias (GAN) Fundamentos Teóricos y Aplicaciones J. D. L. Torre GAN 59 1 0 18 Feb 2023
Effective Multimodal Reinforcement Learning with Modality Alignment and Importance Enhancement Jinming Ma Feng Wu Yingfeng Chen Xianpeng Ji Yu-qiong Ding OffRL 82 4 0 18 Feb 2023
On Handling Catastrophic Forgetting for Incremental Learning of Human Physical Activity on the Edge Jingwei Zuo George Arvanitakis Hakim Hacid 62 4 0 18 Feb 2023
One-Pot Multi-Frame Denoising Lujia Jin Shi-Jing Zhao Lei Zhu Qian Chen Yanye Lu 61 1 0 18 Feb 2023
StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization Shirsha Bose Ankit Jha Enrico Fini Mainak Singha Elisa Ricci Biplab Banerjee VLM 109 27 0 18 Feb 2023
Improving Training Stability for Multitask Ranking Models in Recommender Systems Jiaxi Tang Yoel Drori Daryl Chang M. Sathiamoorthy Justin Gilmer Li Wei Xinyang Yi Lichan Hong Ed H. Chi 100 10 0 17 Feb 2023
Deep Joint Source-Channel Coding with Iterative Source Error Correction Changwoo Lee Xiao Hu Hun-Seok Kim 56 6 0 17 Feb 2023
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation Clément Vignac Nagham Osman Laura Toni P. Frossard DiffM 115 63 0 17 Feb 2023
sMRI-PatchNet: A novel explainable patch-based deep learning network for Alzheimer's disease diagnosis and discriminative atrophy localisation with Structural MRI Xin Zhang Liangxiu Han Lianghao Han Haoming Chen Darren Dancey Daoqiang Zhang MedIm 69 5 0 17 Feb 2023
G-Signatures: Global Graph Propagation With Randomized Signatures Bernhard Schafl Lukas Gruber Johannes Brandstetter Sepp Hochreiter 164 2 0 17 Feb 2023
Explicit and Implicit Knowledge Distillation via Unlabeled Data Yuzheng Wang Zuhao Ge Zhaoyu Chen Xiangjian Liu Chuang Ma Yunquan Sun Lizhe Qi 114 10 0 17 Feb 2023
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning Dahuin Jung Dongjin Lee Sunwon Hong Hyemi Jang Ho Bae Sungroh Yoon CLL 62 15 0 17 Feb 2023
Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks Acong Zhang Jincheng Huang Ping Li Kaizheng Zhang GNN 78 4 0 17 Feb 2023
Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures Nhat-Khang Ngô Truong-Son Hy Risi Kondor ViT AI4CE 90 2 0 17 Feb 2023
Generative Adversarial Networks for Malware Detection: a Survey Aeryn Dunmore Ju-Seong Jang Fariza Sabrina Jin Kwak GAN 60 9 0 16 Feb 2023
Stabilising and accelerating light gated recurrent units for automatic speech recognition Adel Moumen Titouan Parcollet 68 3 0 16 Feb 2023
SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation with Fine-Grained Geometry Lin Gao Jiali Sun Kaichun Mo Yu-kun Lai Leonidas Guibas J. Yang 3DV 3DPC 67 39 0 16 Feb 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization Zhiqing Sun Yiming Yang DiffM 112 133 0 16 Feb 2023
Singular Value Representation: A New Graph Perspective On Neural Networks D. Meller Nicolas Berkouk GNN 62 2 0 16 Feb 2023
URCDC-Depth: Uncertainty Rectified Cross-Distillation with CutFlip for Monocular Depth Estimation Shuwei Shao Z. Pei Weihai Chen Ran Li Zhong Liu Zhengguo Li ViT UQCV 104 35 0 16 Feb 2023
Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation Minghao Wu George F. Foster Zhuang Li Gholamreza Haffari 85 20 0 16 Feb 2023
Deterministic Nonsmooth Nonconvex Optimization Michael I. Jordan Guy Kornowski Tianyi Lin Ohad Shamir Manolis Zampetakis 169 26 0 16 Feb 2023
The Expressive Power of Tuning Only the Normalization Layers Angeliki Giannou Shashank Rajput Dimitris Papailiopoulos 66 8 0 15 Feb 2023
Zero-Shot Anomaly Detection via Batch Normalization Aodong Li Chen Qiu Marius Kloft Padhraic Smyth Maja R. Rudolph Stephan Mandt 166 0 0 15 Feb 2023
Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs Stefan Werner Sebastian Peitz 119 9 0 14 Feb 2023
Detection and classification of vocal productions in large scale audio recordings Guillem Bonafos Pierre Pudlo Jean-Marc Freyermuth T. Legou J. Fagot Samuel Tronccon Arnaud Rey AI4TS 65 1 0 14 Feb 2023
Multilevel Objective-Function-Free Optimization with an Application to Neural Networks Training Serge Gratton Alena Kopanicáková P. Toint 60 7 0 14 Feb 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems Niloy Ganguly Dren Fazlija Maryam Badar M. Fisichella Sandipan Sikdar ... Koustav Rudra Manolis Koubarakis Gourab K. Patro W. Z. E. Amri Wolfgang Nejdl CML 102 26 0 14 Feb 2023
Dataset Distillation with Convexified Implicit Gradients Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 84 42 0 13 Feb 2023
OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science Maksim Levental A. Khan Kyle Chard Kazutomo Yoshi Ryan Chard Ian Foster 72 5 0 13 Feb 2023
In Search for a Generalizable Method for Source Free Domain Adaptation Malik Boudiaf Tom Denton B. V. Merrienboer Vincent Dumoulin Eleni Triantafillou TTA 93 19 0 13 Feb 2023
A Domain Decomposition-Based CNN-DNN Architecture for Model Parallel Training Applied to Image Recognition Problems A. Klawonn M. Lanser J. Weber OOD 67 6 0 13 Feb 2023