Group Normalization

22 March 2018

Papers citing "Group Normalization"

50 / 664 papers shown

Title
Effect of Batch Normalization on Noise Resistant Property of Deep Learning Models Omobayode Fagbohungbe Lijun Qian 24 10 0 15 May 2022
Guidelines for the Regularization of Gammas in Batch Normalization for Deep Residual Networks Bum Jun Kim Hyeyeon Choi Hyeonah Jang Dong Gu Lee Wonseok Jeong Sang Woo Kim 19 4 0 15 May 2022
Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints Mónica Ribero H. Vikalo G. Veciana FedML 24 43 0 13 May 2022
3D Moments from Near-Duplicate Photos Qianqian Wang Zhengqi Li D. Salesin Noah Snavely Brian L. Curless Janne Kontkanen 3DH DiffM VGen 43 19 0 12 May 2022
Learned Vertex Descent: A New Direction for 3D Human Model Fitting Enric Corona Gerard Pons-Moll Guillem Alenyà Francesc Moreno-Noguer 3DH 22 39 0 12 May 2022
A Generalist Agent Scott E. Reed Konrad Zolna Emilio Parisotto Sergio Gomez Colmenarejo Alexander Novikov ... Yutian Chen R. Hadsell Oriol Vinyals Mahyar Bordbar Nando de Freitas LM&Ro LLMAG AI4CE 83 791 0 12 May 2022
Best of Both Worlds: Multi-task Audio-Visual Automatic Speech Recognition and Active Speaker Detection Otavio Braga Olivier Siohan CVBM 29 8 0 10 May 2022
Impact of L1 Batch Normalization on Analog Noise Resistant Property of Deep Learning Models Omobayode Fagbohungbe Lijun Qian 35 0 0 07 May 2022
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation Jeffry Wicaksana Zengqiang Yan Dong Zhang Xijie Huang Huimin Wu Xin Yang Kwang-Ting Cheng FedML 38 49 0 04 May 2022
DR-GAN: Distribution Regularization for Text-to-Image Generation Hongchen Tan Xiuping Liu Baocai Yin Xin Li GAN 32 36 0 17 Apr 2022
Text-Driven Separation of Arbitrary Sounds Kevin Kilgour Beat Gfeller Qingqing Huang A. Jansen Scott Wisdom Marco Tagliasacchi 30 30 0 12 Apr 2022
Self-Labeling Refinement for Robust Representation Learning with Bootstrap Your Own Latent Siddhant Garg Dhruval Jain SSL 45 0 0 09 Apr 2022
Multichannel Speech Separation with Narrow-band Conformer Changsheng Quan Xiaofei Li 31 12 0 09 Apr 2022
Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer Songwei Ge Thomas Hayes Harry Yang Xiaoyue Yin Guan Pang David Jacobs Jia-Bin Huang Devi Parikh ViT 56 215 0 07 Apr 2022
Audio-Visual Person-of-Interest DeepFake Detection D. Cozzolino Alessandro Pianese Matthias Nießner L. Verdoliva 36 60 0 06 Apr 2022
BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning Zhi Hou Baosheng Yu Chaoyue Wang Yibing Zhan Dacheng Tao ViT 32 11 0 04 Apr 2022
Online Convolutional Re-parameterization Mu Hu Junyi Feng Jiashen Hua Baisheng Lai Jianqiang Huang Xiaojin Gong Xiansheng Hua 24 26 0 02 Apr 2022
On the Importance of Asymmetry for Siamese Representation Learning Tianlin Li Haoqi Fan Yuandong Tian Daisuke Kihara Xinlei Chen SSL 30 51 0 01 Apr 2022
Logit Normalization for Long-tail Object Detection Liang Zhao Yao Teng Limin Wang 26 10 0 31 Mar 2022
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning Quang Pham Chenghao Liu Guosheng Lin BDL OnRL 38 57 0 30 Mar 2022
Iterative Deep Homography Estimation Sixi Cao Jianxin Hu Zehua Sheng Hui-Liang Shen 37 55 0 30 Mar 2022
Integrative Few-Shot Learning for Classification and Segmentation Dahyun Kang Minsu Cho VLM 37 59 0 29 Mar 2022
Integrating Lattice-Free MMI into End-to-End Speech Recognition Jinchuan Tian Jianwei Yu Chao Weng Yuexian Zou Dong Yu 35 8 0 29 Mar 2022
ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers Jonávs Kulhánek Erik Derner Torsten Sattler Robert Babuvska ViT 30 73 0 18 Mar 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning Haoxiang Wang Yite Wang Ruoyu Sun Bo-wen Li 29 27 0 17 Mar 2022
On the Pitfalls of Batch Normalization for End-to-End Video Learning: A Study on Surgical Workflow Analysis Dominik Rivoir Isabel Funke Stefanie Speidel 24 17 0 15 Mar 2022
ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation Seunghun Lee Wonhyeok Choi Changjae Kim Minwoo Choi Sunghoon Im 36 19 0 14 Mar 2022
Differentially Private Learning Needs Hidden State (Or Much Faster Convergence) Jiayuan Ye Reza Shokri FedML 35 44 0 10 Mar 2022
DEER: Detection-agnostic End-to-End Recognizer for Scene Text Spotting Seonghyeon Kim Seung Shin Yoonsik Kim Han-Cheol Cho Taeho Kil Jaeheung Surh Seunghyun Park Bado Lee Youngmin Baek 22 8 0 10 Mar 2022
Robust Multi-Task Learning and Online Refinement for Spacecraft Pose Estimation across Domain Gap T. Park Simone DÁmico 16 63 0 08 Mar 2022
Acceleration of Federated Learning with Alleviated Forgetting in Local Training Chencheng Xu Zhiwei Hong Minlie Huang Tao Jiang FedML 24 46 0 05 Mar 2022
Addressing Over-Smoothing in Graph Neural Networks via Deep Supervision P. Elinas Edwin V. Bonilla AI4CE 34 5 0 25 Feb 2022
Wavebender GAN: An architecture for phonetically meaningful speech manipulation Gustavo Teodoro Döhler Beck Ulme Wennberg Zofia Malisz G. Henter AI4CE 27 8 0 22 Feb 2022
Deep learning classification of large-scale point clouds: A case study on cuneiform tablets Frederik Hagelskjaer 3DV 3DPC 19 6 0 22 Feb 2022
A Lightweight Dual-Domain Attention Framework for Sparse-View CT Reconstruction Chang Sun Ken Deng Yitong Liu Hongwen Yang MedIm 21 8 0 19 Feb 2022
Diagnosing Batch Normalization in Class Incremental Learning Minghao Zhou Quanziang Wang Jun Shu Qian Zhao Deyu Meng CLL 48 6 0 16 Feb 2022
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework Xu Ma Can Qin Haoxuan You Haoxi Ran Y. Fu 3DPC 19 583 0 15 Feb 2022
NeuroMixGDP: A Neural Collapse-Inspired Random Mixup for Private Data Release Donghao Li Yang Cao Yuan Yao 35 2 0 14 Feb 2022
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning Yang Zhao Hao Zhang Xiuyuan Hu 38 116 0 08 Feb 2022
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations Jinhyun So Kevin Hsieh Behnaz Arzani Shadi Noghabi Salman Avestimehr Ranveer Chandra FedML 16 60 0 02 Feb 2022
Robust Training of Neural Networks Using Scale Invariant Architectures Zhiyuan Li Srinadh Bhojanapalli Manzil Zaheer Sashank J. Reddi Surinder Kumar 29 27 0 02 Feb 2022
Architecture Matters in Continual Learning Seyed Iman Mirzadeh Arslan Chaudhry Dong Yin Timothy Nguyen Razvan Pascanu Dilan Görür Mehrdad Farajtabar OOD KELM 118 58 0 01 Feb 2022
Toward Training at ImageNet Scale with Differential Privacy Alexey Kurakin Shuang Song Steve Chien Roxana Geambasu Andreas Terzis Abhradeep Thakurta 36 100 0 28 Jan 2022
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders Tianshuo Cong Xinlei He Yang Zhang 21 53 0 27 Jan 2022
Achieving Personalized Federated Learning with Sparse Local Models Tiansheng Huang Shiwei Liu Li Shen Fengxiang He Weiwei Lin Dacheng Tao FedML 30 43 0 27 Jan 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 34 101 0 15 Jan 2022
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 42 4,983 0 10 Jan 2022
Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory Nicole Mitchell Johannes Ballé Zachary B. Charles Jakub Konecný FedML 16 21 0 07 Jan 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents Kushagra Pandey Avideep Mukherjee Piyush Rai Abhishek Kumar DiffM 33 114 0 02 Jan 2022
Reciprocal Normalization for Domain Adaptation Zhiyong Huang Kekai Sheng Ke Li Jian Liang Taiping Yao Weiming Dong D. Zhou Xing Sun 41 11 0 20 Dec 2021