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

11 February 2015

Sergey Ioffe

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

50 / 7,096 papers shown

Title
Domain Adaptation with a Single Vision-Language Embedding Mohammad Fahes Tuan-Hung Vu Andrei Bursuc Patrick Pérez Raoul de Charette VLM 28 0 0 28 Oct 2024
Enhancing Action Recognition by Leveraging the Hierarchical Structure of Actions and Textual Context Manuel Benavent-Lledo David Mulero-Pérez David Ortiz-Perez José García Rodríguez Antonis Argyros 24 0 0 28 Oct 2024
Skip2-LoRA: A Lightweight On-device DNN Fine-tuning Method for Low-cost Edge Devices Hiroki Matsutani Masaaki Kondo Kazuki Sunaga R. Marculescu 16 0 0 28 Oct 2024
Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework V. Arkhipkin Viacheslav Vasilev Andrei Filatov Igor Pavlov Julia Agafonova ... Evelina Mironova Anton Bukashkin Konstantin Kulikov Andrey Kuznetsov Denis Dimitrov DiffM 31 3 0 28 Oct 2024
Scaling-based Data Augmentation for Generative Models and its Theoretical Extension Yoshitaka Koike Takumi Nakagawa Hiroki Waida Takafumi Kanamori DiffM 30 0 0 28 Oct 2024
Murine AI excels at cats and cheese: Structural differences between human and mouse neurons and their implementation in generative AIs R. Saiga Kaede Shiga Yo Maruta C. Inomoto Hiroshi Kajiwara ... Yuichi Yamashita M. Itokawa Soichiro Ide Kazutaka Ikeda R. Mizutani 29 0 0 28 Oct 2024
Plastic Learning with Deep Fourier Features Alex Lewandowski Dale Schuurmans Marlos C. Machado CLL 42 3 0 27 Oct 2024
High quality ECG dataset based on MIT-BIH recordings for improved heartbeats classification Ahmed. S Benmessaoud Farida Medjani Yahia Bousseloub Khalid Bouaita Dhia Benrahem Tahar Kezai 14 4 0 27 Oct 2024
Multi-Field Adaptive Retrieval Millicent Li Tongfei Chen Benjamin Van Durme Patrick Xia 160 1 0 26 Oct 2024
Interpreting Neural Networks through Mahalanobis Distance Alan Oursland FAtt MILM 15 1 0 25 Oct 2024
Spatial-Temporal Search for Spiking Neural Networks Kaiwei Che Zhaokun Zhou Li-xin Yuan Jianguo Zhang Yonghong Tian Luziwei Leng 32 0 0 24 Oct 2024
Scale Propagation Network for Generalizable Depth Completion Haotian Wang Meng Yang Xinhu Zheng Gang Hua 29 2 0 24 Oct 2024
Integrating Canonical Neural Units and Multi-Scale Training for Handwritten Text Recognition Zi-Rui Wang 24 0 0 24 Oct 2024
Predicting total time to compress a video corpus using online inference systems Xin Shu Vibhoothi Anil C. Kokaram 21 0 0 23 Oct 2024
Rethinking Positive Pairs in Contrastive Learning Jiantao Wu Shentong Mo Zhenhua Feng Sara Atito Josef Kitler Muhammad Awais SSL VLM 48 3 0 23 Oct 2024
Leveraging Deep Learning for Time Series Extrinsic Regression in predicting photometric metallicity of Fundamental-mode RR Lyrae Stars Lorenzo Monti Tatiana Muraveva Gisella Clementini Alessia Garofalo 38 1 0 23 Oct 2024
Anomaly Resilient Temporal QoS Prediction using Hypergraph Convoluted Transformer Network Suraj Kumar S. Chattopadhyay Chandranath Adak 31 0 0 23 Oct 2024
LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices Chuntao Ding Xu Cao Jianhang Xie Linlin Fan Shangguang Wang Zhichao Lu 39 1 0 22 Oct 2024
Network Inversion for Training-Like Data Reconstruction Pirzada Suhail Amit Sethi FedML 29 0 0 22 Oct 2024
CKSP: Cross-species Knowledge Sharing and Preserving for Universal Animal Activity Recognition Axiu Mao Meilu Zhu Zhaojin Guo Zheng He Tomas Norton Kai Liu 36 0 0 22 Oct 2024
Metric as Transform: Exploring beyond Affine Transform for Interpretable Neural Network Suman Sapkota 28 0 0 21 Oct 2024
An Explainable Contrastive-based Dilated Convolutional Network with Transformer for Pediatric Pneumonia Detection Chandravardhan Singh Raghaw Parth Shirish Bhore Mohammad Zia Ur Rehman Nagendra Kumar ViT MedIm 42 5 0 21 Oct 2024
LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature Integration Camiel Oerlemans Bram Grooten Michiel Braat Alaa Alassi Emilia Silvas Decebal Constantin Mocanu 34 0 0 21 Oct 2024
GNNRL-Smoothing: A Prior-Free Reinforcement Learning Model for Mesh Smoothing Zhichao Wang Xinhai Chen Chunye Gong Bo Yang Liang Deng Yufei Sun Yufei Pang Jie Liu AI4CE 30 0 0 19 Oct 2024
NeuralMAG: Fast and Generalizable Micromagnetic Simulation with Deep Neural Nets Yunqi Cai Jiangnan Li Dong Wang OOD AI4CE 28 0 0 19 Oct 2024
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations Bryan Chan Anson Leung James Bergstra OffRL OnRL 62 0 0 19 Oct 2024
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities Shaozhe Hao Xuantong Liu Xianbiao Qi Shihao Zhao Bojia Zi Rong Xiao Kai Han Kwan-Yee K. Wong 45 3 0 18 Oct 2024
CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers and Fully-Connected Neural Networks for Causally Constrained Predictions M. Vowels Mathieu Rochat S. Akbari CML GNN OOD 27 0 0 18 Oct 2024
How Do Training Methods Influence the Utilization of Vision Models? Paul Gavrikov Shashank Agnihotri M. Keuper J. Keuper 34 2 0 18 Oct 2024
Feature Augmentation based Test-Time Adaptation Y. Cho Youngrae Kim Junho Yoon Seunghoon Hong Dongman Lee TPM TTA 44 0 0 18 Oct 2024
SemSim: Revisiting Weak-to-Strong Consistency from a Semantic Similarity Perspective for Semi-supervised Medical Image Segmentation Shiao Xie Haoran Wang Ziwei Niu Hao Sun Shuyi Ouyang Yen-Wei Chen Lanfen Lin 21 0 0 17 Oct 2024
Artificial Kuramoto Oscillatory Neurons Takeru Miyato Sindy Lowe Andreas Geiger Max Welling AI4CE 77 6 0 17 Oct 2024
Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look Yong Zhang Rui Zhu Shifeng Zhang Xu Zhou Shifeng Chen Xiaofan Chen SSL 45 0 0 16 Oct 2024
Solving The Dynamic Volatility Fitting Problem: A Deep Reinforcement Learning Approach Emmanuel Gnabeyeu Omar Karkar Imad Idboufous 28 0 0 15 Oct 2024
Role of Delay in Brain Dynamics Yuval Meir Ofek Tevet Yarden Tzach Shiri Hodassman Ido Kanter AI4CE 29 2 0 15 Oct 2024
Survey and Evaluation of Converging Architecture in LLMs based on Footsteps of Operations Seongho Kim Jihyun Moon Juntaek Oh Insu Choi Joon-Sung Yang 21 0 0 15 Oct 2024
Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture Sajad Movahedi Antonio Orvieto Seyed-Mohsen Moosavi-Dezfooli AI4CE AAML 160 0 0 15 Oct 2024
Embodied Active Learning of Generative Sensor-Object Models Allison Pinosky Todd D. Murphey LM&Ro 34 1 0 14 Oct 2024
Towards a More Complete Theory of Function Preserving Transforms Michael Painter 22 0 0 14 Oct 2024
SLaNC: Static LayerNorm Calibration Mahsa Salmani Nikita Trukhanov I. Soloveychik MQ 31 0 0 14 Oct 2024
PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point Sets Ali Kashefi 3DPC 42 6 0 14 Oct 2024
Lambda-Skip Connections: the architectural component that prevents Rank Collapse Federico Arangath Joseph Jerome Sieber M. Zeilinger Carmen Amo Alonso 33 0 0 14 Oct 2024
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning Hojoon Lee Dongyoon Hwang Donghu Kim Hyunseung Kim Jun Jet Tai K. Subramanian Peter R. Wurman Jaegul Choo Peter Stone Takuma Seno OffRL 75 6 0 13 Oct 2024
MITA: Bridging the Gap between Model and Data for Test-time Adaptation Yige Yuan Bingbing Xu Teng Xiao Liang Hou Fei Sun Huawei Shen Xueqi Cheng TTA 49 0 0 12 Oct 2024
GEM-VPC: A dual Graph-Enhanced Multimodal integration for Video Paragraph Captioning Eileen Wang Caren Han Josiah Poon 37 0 0 12 Oct 2024
Text-To-Image with Generative Adversarial Networks Mehrshad Momen-Tayefeh GAN 25 0 0 11 Oct 2024
BA-Net: Bridge Attention in Deep Neural Networks Ronghui Zhang Runzong Zou Yue Zhao Zirui Zhang Junzhou Chen Yue Cao Chuan Hu Houbing Song 36 0 0 10 Oct 2024
QoS-Nets: Adaptive Approximate Neural Network Inference E. Trommer Bernd Waschneck Akash Kumar 30 0 0 10 Oct 2024
Masked Generative Priors Improve World Models Sequence Modelling Capabilities Cristian Meo Mircea Lica Zarif Ikram Akihiro Nakano Vedant Shah Aniket Didolkar Dianbo Liu Anirudh Goyal Justin Dauwels OffRL 90 0 0 10 Oct 2024
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax I. Butakov Alexander Sememenko Alexander Tolmachev Andrey Gladkov Marina Munkhoeva Alexey Frolov 37 0 0 09 Oct 2024