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Group Normalization

Group Normalization

22 March 2018
Yuxin Wu
Kaiming He
ArXivPDFHTML

Papers citing "Group Normalization"

50 / 653 papers shown
Title
Fast Text-to-Audio Generation with Adversarial Post-Training
Fast Text-to-Audio Generation with Adversarial Post-Training
Zachary Novack
Zach Evans
Zack Zukowski
Josiah Taylor
CJ Carr
...
Adnan Al-Sinan
Gian Marco Iodice
Julian McAuley
Taylor Berg-Kirkpatrick
Jordi Pons
30
0
0
13 May 2025
ChicGrasp: Imitation-Learning based Customized Dual-Jaw Gripper Control for Delicate, Irregular Bio-products Manipulation
ChicGrasp: Imitation-Learning based Customized Dual-Jaw Gripper Control for Delicate, Irregular Bio-products Manipulation
Amirreza Davar
Zhengtong Xu
Siavash Mahmoudi
Pouya Sohrabipour
Chaitanya Pallerla
Yu She
Wan Shou
Philip Glen Crandall
Dongyi Wang
29
0
0
13 May 2025
HMPNet: A Feature Aggregation Architecture for Maritime Object Detection from a Shipborne Perspective
HMPNet: A Feature Aggregation Architecture for Maritime Object Detection from a Shipborne Perspective
Yu Zhang
Fengyuan Liu
Juan Lyu
Yi Wei
Changdong Yu
29
0
0
13 May 2025
ProFashion: Prototype-guided Fashion Video Generation with Multiple Reference Images
ProFashion: Prototype-guided Fashion Video Generation with Multiple Reference Images
Xianghao Kong
Qiaosong Qi
Yuanbin Wang
Anyi Rao
Biaolong Chen
Aixi Zhang
Si Liu
Hao Jiang
DiffM
VGen
25
0
0
10 May 2025
Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacy
Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacy
Rushabh Solanki
Meghana Bhange
Ulrich Aïvodji
Elliot Creager
29
0
0
09 May 2025
Split Matching for Inductive Zero-shot Semantic Segmentation
Split Matching for Inductive Zero-shot Semantic Segmentation
Jialei Chen
Xu Zheng
Dongyue Li
Chong Yi
Seigo Ito
D. Paudel
Luc Van Gool
Hiroshi Murase
Daisuke Deguchi
VLM
56
0
0
08 May 2025
SEVA: Leveraging Single-Step Ensemble of Vicinal Augmentations for Test-Time Adaptation
SEVA: Leveraging Single-Step Ensemble of Vicinal Augmentations for Test-Time Adaptation
Zixuan Hu
Yichun Hu
Ling-yu Duan
TTA
59
0
0
07 May 2025
Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning
Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning
Can Küçüksözen
Yücel Yemez
OCL
52
0
0
04 May 2025
On-demand Test-time Adaptation for Edge Devices
On-demand Test-time Adaptation for Edge Devices
Xiao Ma
Young D. Kwon
Dong-Lai Ma
TTA
55
0
0
02 May 2025
Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation
Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation
Daniele Molino
Francesco Di Feola
Linlin Shen
Paolo Soda
V. Guarrasi
MedIm
LM&MA
67
0
0
02 May 2025
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction
Rudy Morel
Jiequn Han
Edouard Oyallon
AI4CE
56
0
0
28 Apr 2025
Towards Robust Multimodal Physiological Foundation Models: Handling Arbitrary Missing Modalities
Towards Robust Multimodal Physiological Foundation Models: Handling Arbitrary Missing Modalities
Xi Fu
Wei-Bang Jiang
Yi Ding
Cuntai Guan
46
0
0
28 Apr 2025
Optimal Invariant Bases for Atomistic Machine Learning
Optimal Invariant Bases for Atomistic Machine Learning
Alice Allen
Emily Shinkle
Roxana Bujack
Nicholas Lubbers
37
0
0
30 Mar 2025
Dynamic Gradient Sparse Update for Edge Training
Dynamic Gradient Sparse Update for Edge Training
I-Hsuan Li
Tian-Sheuan Chang
66
1
0
23 Mar 2025
GraspCorrect: Robotic Grasp Correction via Vision-Language Model-Guided Feedback
GraspCorrect: Robotic Grasp Correction via Vision-Language Model-Guided Feedback
Sungjae Lee
Yeonjoo Hong
Kwang In KIm
51
0
0
19 Mar 2025
A Light Perspective for 3D Object Detection
M. E. Pederiva
J. M. D. Martino
A. Zimmer
3DPC
55
0
0
10 Mar 2025
BTFL: A Bayesian-based Test-Time Generalization Method for Internal and External Data Distributions in Federated learning
Yu Zhou
Bingyan Liu
FedML
OOD
TTA
59
0
0
09 Mar 2025
The Curse of Depth in Large Language Models
The Curse of Depth in Large Language Models
Wenfang Sun
Xinyuan Song
Pengxiang Li
Lu Yin
Yefeng Zheng
Shiwei Liu
75
4
0
09 Feb 2025
Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning
Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning
Yuting He
Boyu Wang
Rongjun Ge
Yang Chen
Guanyu Yang
Shuo Li
MedIm
AAML
70
2
0
07 Feb 2025
Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction
Bo Sun
Hao Kang
Li Guan
Haoxiang Li
Philippos Mordohai
Gang Hua
47
1
0
28 Jan 2025
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos
Yanlai Yang
Mengye Ren
210
0
0
21 Jan 2025
FlashSR: One-step Versatile Audio Super-resolution via Diffusion Distillation
FlashSR: One-step Versatile Audio Super-resolution via Diffusion Distillation
Jaekwon Im
Juhan Nam
DiffM
45
0
0
18 Jan 2025
MedCoDi-M: A Multi-Prompt Foundation Model for Multimodal Medical Data Generation
MedCoDi-M: A Multi-Prompt Foundation Model for Multimodal Medical Data Generation
Daniele Molino
Francesco Di Feola
E. Faiella
Deborah Fazzini
D. Santucci
Linlin Shen
V. Guarrasi
Paolo Soda
SyDa
MedIm
44
0
0
10 Jan 2025
Physics-Informed Super-Resolution Diffusion for 6D Phase Space Diagnostics
Physics-Informed Super-Resolution Diffusion for 6D Phase Space Diagnostics
Alexander Scheinker
MedIm
DiffM
44
1
0
08 Jan 2025
Flemme: A Flexible and Modular Learning Platform for Medical Images
Flemme: A Flexible and Modular Learning Platform for Medical Images
Guoqing Zhang
Jingyun Yang
Yang Li
MedIm
53
1
0
08 Jan 2025
WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model
WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model
Zongjian Li
Bin Lin
Yang Ye
Liuhan Chen
Xinhua Cheng
Shenghai Yuan
Li-xin Yuan
VGen
DiffM
115
16
0
26 Nov 2024
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization
Dun Zeng
Zheshun Wu
Shiyu Liu
Yu Pan
Xiaoying Tang
Zenglin Xu
MLT
FedML
89
1
0
25 Nov 2024
Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward
Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward
Zhiwei Jia
Yuesong Nan
Huixi Zhao
Gengdai Liu
EGVM
91
0
0
22 Nov 2024
Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysis
Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysis
Zhijie Chen
Qiaobo Li
A. Banerjee
FedML
37
0
0
11 Nov 2024
Theoretical characterisation of the Gauss-Newton conditioning in Neural Networks
Theoretical characterisation of the Gauss-Newton conditioning in Neural Networks
Jim Zhao
Sidak Pal Singh
Aurelien Lucchi
AI4CE
48
0
0
04 Nov 2024
Artificial Kuramoto Oscillatory Neurons
Artificial Kuramoto Oscillatory Neurons
Takeru Miyato
Sindy Lowe
Andreas Geiger
Max Welling
AI4CE
77
6
0
17 Oct 2024
Large Vision Model-Enhanced Digital Twin with Deep Reinforcement Learning for User Association and Load Balancing in Dynamic Wireless Networks
Large Vision Model-Enhanced Digital Twin with Deep Reinforcement Learning for User Association and Load Balancing in Dynamic Wireless Networks
Zhenyu Tao
Wei Xu
Xiaohu You
34
1
0
10 Oct 2024
Differential Transformer
Differential Transformer
Tianzhu Ye
Li Dong
Yuqing Xia
Yutao Sun
Yi Zhu
Gao Huang
Furu Wei
176
0
0
07 Oct 2024
Riemann Sum Optimization for Accurate Integrated Gradients Computation
Riemann Sum Optimization for Accurate Integrated Gradients Computation
Swadesh Swain
Shree Singhi
28
0
0
05 Oct 2024
Classification-Denoising Networks
Classification-Denoising Networks
Louis Thiry
Florentin Guth
34
0
0
04 Oct 2024
Differentially Private Parameter-Efficient Fine-tuning for Large ASR
  Models
Differentially Private Parameter-Efficient Fine-tuning for Large ASR Models
Hongbin Liu
Lun Wang
Om Thakkar
Abhradeep Thakurta
Arun Narayanan
34
0
0
02 Oct 2024
Feature Extractor or Decision Maker: Rethinking the Role of Visual Encoders in Visuomotor Policies
Feature Extractor or Decision Maker: Rethinking the Role of Visual Encoders in Visuomotor Policies
Ruiyu Wang
Zheyu Zhuang
Shutong Jin
Nils Ingelhag
Danica Kragic
Florian T. Pokorny
33
0
0
30 Sep 2024
Unconditional stability of a recurrent neural circuit implementing divisive normalization
Unconditional stability of a recurrent neural circuit implementing divisive normalization
Shivang Rawat
David J. Heeger
Stefano Martiniani
26
0
0
27 Sep 2024
The Role of Deep Learning Regularizations on Actors in Offline RL
The Role of Deep Learning Regularizations on Actors in Offline RL
Denis Tarasov
Anja Surina
Çağlar Gülçehre
OffRL
AI4CE
68
1
0
11 Sep 2024
Active Learning for Neural PDE Solvers
Active Learning for Neural PDE Solvers
Daniel Musekamp
Marimuthu Kalimuthu
David Holzmüller
Makoto Takamoto
Carlos Fernandez
AI4CE
60
4
0
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Temporal Evolution of Knee Osteoarthritis: A Diffusion-based Morphing
  Model for X-ray Medical Image Synthesis
Temporal Evolution of Knee Osteoarthritis: A Diffusion-based Morphing Model for X-ray Medical Image Synthesis
Ben Cao
Tiantian He
Rachid Jennane
Yuhua Ru
Qiang Zhang
Mohamed Jarraya
MedIm
40
1
0
01 Aug 2024
Deep Companion Learning: Enhancing Generalization Through Historical
  Consistency
Deep Companion Learning: Enhancing Generalization Through Historical Consistency
Ruizhao Zhu
Venkatesh Saligrama
FedML
40
0
0
26 Jul 2024
Parallel Split Learning with Global Sampling
Parallel Split Learning with Global Sampling
Mohammad Kohankhaki
Ahmad Ayad
Mahdi Barhoush
A. Schmeink
38
1
0
22 Jul 2024
LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation
  in Ultrasound Videos
LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos
Huihui Xu
Yijun Yang
Angelica I Aviles-Rivero
Guang Yang
Jing Qin
Lei Zhu
45
4
0
08 Jul 2024
Towards Federated Learning with On-device Training and Communication in
  8-bit Floating Point
Towards Federated Learning with On-device Training and Communication in 8-bit Floating Point
Bokun Wang
Axel Berg
D. A. E. Acar
Chuteng Zhou
FedML
MQ
48
0
0
02 Jul 2024
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
Seyedmorteza Sadat
Jakob Buhmann
Derek Bradley
Otmar Hilliges
Romann M. Weber
51
9
0
23 May 2024
Learning Spatial Similarity Distribution for Few-shot Object Counting
Learning Spatial Similarity Distribution for Few-shot Object Counting
Yuanwu Xu
Feifan Song
Haofeng Zhang
46
3
0
20 May 2024
SLAB: Efficient Transformers with Simplified Linear Attention and
  Progressive Re-parameterized Batch Normalization
SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization
Jialong Guo
Xinghao Chen
Yehui Tang
Yunhe Wang
ViT
49
9
0
19 May 2024
CCDM: Continuous Conditional Diffusion Models for Image Generation
CCDM: Continuous Conditional Diffusion Models for Image Generation
Xin Ding
Member Ieee Yongwei Wang
Kao Zhang
F. I. Z. Jane Wang
DiffM
19
3
0
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Torch2Chip: An End-to-end Customizable Deep Neural Network Compression
  and Deployment Toolkit for Prototype Hardware Accelerator Design
Torch2Chip: An End-to-end Customizable Deep Neural Network Compression and Deployment Toolkit for Prototype Hardware Accelerator Design
Jian Meng
Yuan Liao
Anupreetham Anupreetham
Ahmed Hassan
Shixing Yu
Han-Sok Suh
Xiaofeng Hu
Jae-sun Seo
MQ
49
2
0
02 May 2024
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