Fixup Initialization: Residual Learning Without Normalization

27 January 2019

Papers citing "Fixup Initialization: Residual Learning Without Normalization"

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Title
Don't be lazy: CompleteP enables compute-efficient deep transformers Nolan Dey Bin Claire Zhang Lorenzo Noci Mufan Li Blake Bordelon Shane Bergsma Cengiz Pehlevan Boris Hanin Joel Hestness 44 0 0 02 May 2025
SpINR: Neural Volumetric Reconstruction for FMCW Radars Harshvardhan Takawale Nirupam Roy 32 0 0 30 Mar 2025
Stable-SPAM: How to Train in 4-Bit More Stably than 16-Bit Adam Tianjin Huang Haotian Hu Zhenyu Zhang Gaojie Jin Xianrui Li ... Tianlong Chen Lu Liu Qingsong Wen Zhangyang Wang Shiwei Liu MQ 39 0 0 24 Feb 2025
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training Tianjin Huang Ziquan Zhu Gaojie Jin Lu Liu Zhangyang Wang Shiwei Liu 47 1 0 12 Jan 2025
Fast Training of Sinusoidal Neural Fields via Scaling Initialization Taesun Yeom Sangyoon Lee Jaeho Lee 61 2 0 07 Oct 2024
Benchmarking the Attribution Quality of Vision Models Robin Hesse Simone Schaub-Meyer Stefan Roth FAtt 34 3 0 16 Jul 2024
Understanding and Minimising Outlier Features in Neural Network Training Bobby He Lorenzo Noci Daniele Paliotta Imanol Schlag Thomas Hofmann 42 3 0 29 May 2024
Understanding the training of infinitely deep and wide ResNets with Conditional Optimal Transport Raphael Barboni Gabriel Peyré Franccois-Xavier Vialard 37 3 0 19 Mar 2024
Principled Weight Initialization for Hypernetworks Oscar Chang Lampros Flokas Hod Lipson 27 73 0 13 Dec 2023
Quantitative CLTs in Deep Neural Networks Stefano Favaro Boris Hanin Domenico Marinucci I. Nourdin G. Peccati BDL 33 12 0 12 Jul 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
The R-mAtrIx Net Shailesh Lal Suvajit Majumder E. Sobko 24 5 0 14 Apr 2023
Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks with Soft-Thresholding Chunyan Xiong Meng Lu Xiaotong Yu JIAN-PENG Cao Zhong Chen D. Guo X. Qu MLT 40 0 0 14 Apr 2023
QuickSRNet: Plain Single-Image Super-Resolution Architecture for Faster Inference on Mobile Platforms Guillaume Berger Manik Dhingra Antoine Mercier Yash Savani Sunny Panchal Fatih Porikli SupR 20 5 0 08 Mar 2023
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models? Boris Knyazev Doha Hwang Simon Lacoste-Julien AI4CE 37 17 0 07 Mar 2023
Unsupervised Learning of Initialization in Deep Neural Networks via Maximum Mean Discrepancy Cheolhyoung Lee Kyunghyun Cho 22 0 0 08 Feb 2023
A Survey on Efficient Training of Transformers Bohan Zhuang Jing Liu Zizheng Pan Haoyu He Yuetian Weng Chunhua Shen 31 47 0 02 Feb 2023
Scaling laws for single-agent reinforcement learning Jacob Hilton Jie Tang John Schulman 22 20 0 31 Jan 2023
Expected Gradients of Maxout Networks and Consequences to Parameter Initialization Hanna Tseran Guido Montúfar ODL 30 0 0 17 Jan 2023
REPAIR: REnormalizing Permuted Activations for Interpolation Repair Keller Jordan Hanie Sedghi O. Saukh R. Entezari Behnam Neyshabur MoMe 46 94 0 15 Nov 2022
Do Bayesian Neural Networks Need To Be Fully Stochastic? Mrinank Sharma Sebastian Farquhar Eric T. Nalisnick Tom Rainforth BDL 23 52 0 11 Nov 2022
NoMorelization: Building Normalizer-Free Models from a Sample's Perspective Chang-Shu Liu Yuwen Yang Yue Ding Hongtao Lu 34 2 0 13 Oct 2022
SML:Enhance the Network Smoothness with Skip Meta Logit for CTR Prediction Wenlong Deng Lang Lang Ziqiang Liu B. Liu 26 0 0 09 Oct 2022
Dynamical Isometry for Residual Networks Advait Gadhikar R. Burkholz ODL AI4CE 40 2 0 05 Oct 2022
Removing Batch Normalization Boosts Adversarial Training Haotao Wang Aston Zhang Shuai Zheng Xingjian Shi Mu Li Zhangyang Wang 40 41 0 04 Jul 2022
Cold Posteriors through PAC-Bayes Konstantinos Pitas Julyan Arbel 29 5 0 22 Jun 2022
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning Javier Antorán David Janz J. Allingham Erik A. Daxberger Riccardo Barbano Eric T. Nalisnick José Miguel Hernández-Lobato UQCV BDL 30 28 0 17 Jun 2022
Fast Finite Width Neural Tangent Kernel Roman Novak Jascha Narain Sohl-Dickstein S. Schoenholz AAML 28 53 0 17 Jun 2022
Scaling ResNets in the Large-depth Regime Pierre Marion Adeline Fermanian Gérard Biau Jean-Philippe Vert 26 16 0 14 Jun 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
Online Convolutional Re-parameterization Mu Hu Junyi Feng Jiashen Hua Baisheng Lai Jianqiang Huang Xiaojin Gong Xiansheng Hua 24 26 0 02 Apr 2022
Deep Learning without Shortcuts: Shaping the Kernel with Tailored Rectifiers Guodong Zhang Aleksandar Botev James Martens OffRL 34 26 0 15 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
DeepNet: Scaling Transformers to 1,000 Layers Hongyu Wang Shuming Ma Li Dong Shaohan Huang Dongdong Zhang Furu Wei MoE AI4CE 26 156 0 01 Mar 2022
TrimBERT: Tailoring BERT for Trade-offs S. N. Sridhar Anthony Sarah Sairam Sundaresan MQ 23 4 0 24 Feb 2022
Bayesian Model Selection, the Marginal Likelihood, and Generalization Sanae Lotfi Pavel Izmailov Gregory W. Benton Micah Goldblum A. Wilson UQCV BDL 52 56 0 23 Feb 2022
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations Alexander Immer Tycho F. A. van der Ouderaa Gunnar Rätsch Vincent Fortuin Mark van der Wilk BDL 39 44 0 22 Feb 2022
Understanding AdamW through Proximal Methods and Scale-Freeness Zhenxun Zhuang Mingrui Liu Ashok Cutkosky Francesco Orabona 39 63 0 31 Jan 2022
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning Yangsibo Huang Samyak Gupta Zhao Song Kai Li Sanjeev Arora FedML AAML SILM 28 269 0 30 Nov 2021
Hidden-Fold Networks: Random Recurrent Residuals Using Sparse Supermasks Ángel López García-Arias Masanori Hashimoto Masato Motomura Jaehoon Yu 39 5 0 24 Nov 2021
A Johnson--Lindenstrauss Framework for Randomly Initialized CNNs Ido Nachum Jan Hkazla Michael C. Gastpar Anatoly Khina 36 0 0 03 Nov 2021
A Loss Curvature Perspective on Training Instability in Deep Learning Justin Gilmer Behrooz Ghorbani Ankush Garg Sneha Kudugunta Behnam Neyshabur David E. Cardoze George E. Dahl Zachary Nado Orhan Firat ODL 36 35 0 08 Oct 2021
AdjointBackMapV2: Precise Reconstruction of Arbitrary CNN Unit's Activation via Adjoint Operators Qing Wan Siu Wun Cheung Yoonsuck Choe 29 0 0 04 Oct 2021
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks G. Bingham Risto Miikkulainen ODL 24 4 0 18 Sep 2021
Neural HMMs are all you need (for high-quality attention-free TTS) Shivam Mehta Éva Székely Jonas Beskow G. Henter 37 18 0 30 Aug 2021
StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement Yuda Song Hui Qian Xin Du 18 47 0 27 Jul 2021
The Future is Log-Gaussian: ResNets and Their Infinite-Depth-and-Width Limit at Initialization Mufan Li Mihai Nica Daniel M. Roy 32 33 0 07 Jun 2021
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results Goutam Bhat Martin Danelljan Radu Timofte Kazutoshi Akita Wooyeong Cho ... Rao Muhammad Umer Youliang Yan Lei Yu Magauiya Zhussip X. Zou SupR 22 39 0 07 Jun 2021
Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes James Lucas Juhan Bae Michael Ruogu Zhang Stanislav Fort R. Zemel Roger C. Grosse MoMe 164 28 0 22 Apr 2021
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization Tianlong Chen Zhenyu Zhang Xu Ouyang Zechun Liu Zhiqiang Shen Zhangyang Wang MQ 43 36 0 16 Apr 2021