Group Normalization

22 March 2018

Papers citing "Group Normalization"

50 / 653 papers shown

Title
The Implicit Bias of Batch Normalization in Linear Models and Two-layer Linear Convolutional Neural Networks Yuan Cao Difan Zou Yuan-Fang Li Quanquan Gu MLT 37 5 0 20 Jun 2023
Group Orthogonalization Regularization For Vision Models Adaptation and Robustness Yoav Kurtz Noga Bar Raja Giryes 32 0 0 16 Jun 2023
Structured Cooperative Learning with Graphical Model Priors Shuang-Yang Li Dinesh Manocha Xinmei Tian Dacheng Tao 38 0 0 16 Jun 2023
Contrastive Learning-Based Audio to Lyrics Alignment for Multiple Languages Simon Durand Daniel Stoller Sebastian Ewert 34 12 0 13 Jun 2023
VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges Robert-Jan Bruintjes A. Lengyel Marcos Baptista-Rios O. Kayhan Davide Zambrano Nergis Tomen Jan van Gemert 25 9 0 31 May 2023
Fast Dynamic 1D Simulation of Divertor Plasmas with Neural PDE Surrogates Y. Poels G. Derks E. Westerhof Koen Minartz Sven Wiesen Vlado Menkovski 3DGS AI4CE 19 16 0 30 May 2023
Ghost Noise for Regularizing Deep Neural Networks Atli Kosson Dongyang Fan Martin Jaggi 25 1 0 26 May 2023
Anomaly Detection in Satellite Videos using Diffusion Models Akash Awasthi S. Ly Jaer Nizam Samira Zare Videet Mehta Safwan Ahmed K. Shah R. Nemani S. Prasad Hien Nguyen 27 6 0 25 May 2023
U-TILISE: A Sequence-to-sequence Model for Cloud Removal in Optical Satellite Time Series Corinne Stucker Vivien Sainte Fare Garnot Konrad Schindler AI4TS 24 13 0 22 May 2023
U-DiT TTS: U-Diffusion Vision Transformer for Text-to-Speech Xin Jing Yi Chang Zijiang Yang Jiang-jian Xie Andreas Triantafyllopoulos Bjoern W. Schuller 41 10 0 22 May 2023
Efficient ConvBN Blocks for Transfer Learning and Beyond Kaichao You Guo Qin Anchang Bao Mengsi Cao Ping Huang Jiulong Shan Mingsheng Long 31 1 0 19 May 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape Yan Sun Li Shen Shi-Yong Chen Liang Ding Dacheng Tao FedML 37 33 0 19 May 2023
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence Yuki Takezawa Ryoma Sato Han Bao Kenta Niwa M. Yamada 36 9 0 19 May 2023
Quaternion-valued Correlation Learning for Few-Shot Semantic Segmentation Zewen Zheng Guoheng Huang Xiaochen Yuan Chi-Man Pun Hongzhi Liu Wing-Kuen Ling 38 22 0 12 May 2023
Inter-SubNet: Speech Enhancement with Subband Interaction Jun Chen Wei Rao Zehao Wang Jiuxin Lin Zhiyong Wu Yannan Wang Shidong Shang Helen M. Meng 11 13 0 09 May 2023
DeformerNet: Learning Bimanual Manipulation of 3D Deformable Objects Bao Thach Brian Y. Cho Shing-Hei Ho Tucker Hermans Alan Kuntz 23 4 0 08 May 2023
File Fragment Classification using Light-Weight Convolutional Neural Networks Mustafa Ghaleb K. Saaim Muhamad Felemban S. Al-Saleh Ahmad S. Al-Mulhem 28 1 0 01 May 2023
The Disharmony between BN and ReLU Causes Gradient Explosion, but is Offset by the Correlation between Activations Inyoung Paik Jaesik Choi 21 0 0 23 Apr 2023
ASR: Attention-alike Structural Re-parameterization Shan Zhong Zhongzhan Huang Wushao Wen Jinghui Qin Liang Lin 41 6 0 13 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 43 0 0 13 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 30 2 0 10 Apr 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 43 6 0 06 Apr 2023
A Closer Look at Parameter-Efficient Tuning in Diffusion Models Chendong Xiang Fan Bao Chongxuan Li Hang Su Jun Zhu DiffM 14 16 0 31 Mar 2023
Multi-modal learning for geospatial vegetation forecasting V. Benson Claire Robin C. Requena-Mesa Lazaro Alonso Nuno Carvalhais José A. Cortés Zhihan Gao Nora Linscheid M. Weynants Markus Reichstein 30 11 0 28 Mar 2023
Novel View Synthesis of Humans using Differentiable Rendering Guillaume Rochette Chris Russell Richard Bowden DiffM 32 0 0 28 Mar 2023
A novel Multi to Single Module for small object detection Xiaohui Guo ObjD 30 5 0 27 Mar 2023
Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection Chang-rui Liu Weiming Zhang Xiangru Lin Wei Zhang Xiao Tan Junyu Han Xiaomao Li Errui Ding Jingdong Wang 58 33 0 27 Mar 2023
Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection Kuniaki Saito Donghyun Kim Piotr Teterwak Rogerio Feris Kate Saenko 44 1 0 26 Mar 2023
PDPP: Projected Diffusion for Procedure Planning in Instructional Videos Hanlin Wang Yilu Wu Sheng Guo Limin Wang VGen DiffM 73 30 0 26 Mar 2023
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation Saikat Roy Gregor Koehler Constantin Ulrich Michael Baumgartner Jens Petersen Fabian Isensee Paul F. Jaeger Klaus Maier-Hein ViT MedIm 35 138 0 17 Mar 2023
Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration Zheng Qin Hao Yu Changjian Wang Yuxing Peng Kaiping Xu 3DPC 27 17 0 17 Mar 2023
Ensemble flow reconstruction in the atmospheric boundary layer from spatially limited measurements through latent diffusion models A. Rybchuk M. Hassanaly N. Hamilton P. Doubrawa Mitchell J. Fulton L. Martínez‐Tossas AI4CE DiffM 33 16 0 01 Mar 2023
Steganography of Steganographic Networks Guobiao Li Sheng Li Meiling Li Xinpeng Zhang Zhenxing Qian 6 13 0 28 Feb 2023
Interpretable Deep Learning Methods for Multiview Learning Hengkang Wang Han Lu Ju Sun S. Safo 35 8 0 15 Feb 2023
On the Ideal Number of Groups for Isometric Gradient Propagation Bum Jun Kim Hyeyeon Choi Hyeonah Jang Sang Woo Kim 32 1 0 07 Feb 2023
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners Zhixuan Liang Yao Mu Mingyu Ding Fei Ni Masayoshi Tomizuka Ping Luo 80 101 0 03 Feb 2023
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging Soroosh Tayebi Arasteh Alexander Ziller Christiane Kuhl Marcus R. Makowski S. Nebelung R. Braren Daniel Rueckert Daniel Truhn Georgios Kaissis MedIm 37 17 0 03 Feb 2023
Does Federated Learning Really Need Backpropagation? H. Feng Tianyu Pang Chao Du Wei Chen Shuicheng Yan Min-Bin Lin FedML 36 10 0 28 Jan 2023
Making Reconstruction-based Method Great Again for Video Anomaly Detection Yizhou Wang Can Qin Yue Bai Yi Xu Xu Ma Yun Fu ViT 29 18 0 28 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 42 2 0 26 Jan 2023
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis Axel Sauer Tero Karras S. Laine Andreas Geiger Timo Aila 37 209 0 23 Jan 2023
Deep Residual Axial Networks Nazmul Shahadat Anthony Maida 3DPC 48 4 0 11 Jan 2023
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders Sanghyun Woo Shoubhik Debnath Ronghang Hu Xinlei Chen Zhuang Liu In So Kweon Saining Xie SyDa 82 727 0 02 Jan 2023
Exploring Vision Transformers as Diffusion Learners He Cao Jianan Wang Tianhe Ren Xianbiao Qi Yihao Chen Yuan Yao Lefei Zhang 44 10 0 28 Dec 2022
Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models Zijian Zhang Zhou Zhao Zhijie Lin DiffM 35 52 0 26 Dec 2022
KL Regularized Normalization Framework for Low Resource Tasks Neeraj Kumar Ankur Narang Brejesh Lall 26 1 0 21 Dec 2022
Location-aware Adaptive Normalization: A Deep Learning Approach For Wildfire Danger Forecasting Mohamad Hakam Shams Eddin R. Roscher Juergen Gall 32 11 0 16 Dec 2022
Efficient Visual Computing with Camera RAW Snapshots Zhihao Li Ming Lu Xu Zhang Xin Feng Ulugbek S. Kamilov Zhan Ma 36 12 0 15 Dec 2022
Shared Coupling-bridge for Weakly Supervised Local Feature Learning Jiayu Sun Jie Zhu Luping Ji 27 6 0 14 Dec 2022
Position Embedding Needs an Independent Layer Normalization Runyi Yu Zhennan Wang Yinhuai Wang Kehan Li Yian Zhao Jian Zhang Guoli Song Jie Chen 31 1 0 10 Dec 2022