Which Neural Net Architectures Give Rise To Exploding and Vanishing Gradients?

11 January 2018

Papers citing "Which Neural Net Architectures Give Rise To Exploding and Vanishing Gradients?"

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Title
HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models Zheng Lin Yuxin Zhang Zhe Chen Zihan Fang Xianhao Chen Praneeth Vepakomma Wei Ni Jun Luo Yue Gao MoE 49 2 0 05 May 2025
Low-Loss Space in Neural Networks is Continuous and Fully Connected Yongding Tian Zaid Al-Ars Maksim Kitsak P. Hofstee 3DPC 31 1 0 05 May 2025
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 1 0 02 May 2025
Deep Neural Nets as Hamiltonians Mike Winer Boris Hanin 199 0 0 31 Mar 2025
FAIR: Facilitating Artificial Intelligence Resilience in Manufacturing Industrial Internet Yingyan Zeng Ismini Lourentzou Xinwei Deng R. Jin AI4CE 64 0 0 03 Mar 2025
Federated Learning with Flexible Architectures Jong-Ik Park Carlee Joe-Wong FedML 45 3 0 14 Jun 2024
Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey Feng Liang Zhen Zhang Haifeng Lu Victor C. M. Leung Yanyi Guo Xiping Hu GNN 39 6 0 09 Apr 2024
Quantitative CLTs in Deep Neural Networks Stefano Favaro Boris Hanin Domenico Marinucci I. Nourdin G. Peccati BDL 41 12 0 12 Jul 2023
Intelligent gradient amplification for deep neural networks S. Basodi K. Pusuluri Xueli Xiao Yi Pan ODL 21 1 0 29 May 2023
Depth Dependence of $μ$ P Learning Rates in ReLU MLPs Samy Jelassi Boris Hanin Ziwei Ji Sashank J. Reddi Srinadh Bhojanapalli Surinder Kumar 27 6 0 13 May 2023
A Neural Emulator for Uncertainty Estimation of Fire Propagation Andrew Bolt Conrad Sanderson J. Dabrowski C. Huston Petra Kuhnert 27 3 0 10 May 2023
On Model Compression for Neural Networks: Framework, Algorithm, and Convergence Guarantee Chenyang Li Jihoon Chung Mengnan Du Haimin Wang Xianlian Zhou Bohao Shen 33 1 0 13 Mar 2023
Error convergence and engineering-guided hyperparameter search of PINNs: towards optimized I-FENN performance Panos Pantidis Habiba Eldababy Christopher Miguel Tagle M. Mobasher 35 20 0 03 Mar 2023
Expected Gradients of Maxout Networks and Consequences to Parameter Initialization Hanna Tseran Guido Montúfar ODL 30 0 0 17 Jan 2023
Langevin algorithms for very deep Neural Networks with application to image classification Pierre Bras 25 6 0 27 Dec 2022
Langevin algorithms for Markovian Neural Networks and Deep Stochastic control Pierre Bras Gilles Pagès 30 3 0 22 Dec 2022
Accelerating Dataset Distillation via Model Augmentation Lei Zhang Jie M. Zhang Bowen Lei Subhabrata Mukherjee Xiang Pan Bo Zhao Caiwen Ding Heng Chang Dongkuan Xu DD 47 62 0 12 Dec 2022
Dynamical Isometry for Residual Networks Advait Gadhikar R. Burkholz ODL AI4CE 40 2 0 05 Oct 2022
Graph Neural Networks Extract High-Resolution Cultivated Land Maps from Sentinel-2 Image Series Lukasz Tulczyjew M. Kawulok Nicolas Longépé Bertrand Le Saux J. Nalepa 21 14 0 03 Aug 2022
PSO-Convolutional Neural Networks with Heterogeneous Learning Rate N. H. Phong A. Santos B. Ribeiro 27 8 0 20 May 2022
Regularization by Misclassification in ReLU Neural Networks Elisabetta Cornacchia Jan Hązła Ido Nachum Amir Yehudayoff NoLa 25 2 0 03 Nov 2021
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks G. Bingham Risto Miikkulainen ODL 24 4 0 18 Sep 2021
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers Yunhui Guo Xudong Wang Yubei Chen Stella X. Yu 26 45 0 23 Jul 2021
Random Neural Networks in the Infinite Width Limit as Gaussian Processes Boris Hanin BDL 32 44 0 04 Jul 2021
The Future is Log-Gaussian: ResNets and Their Infinite-Depth-and-Width Limit at Initialization Mufan Li Mihai Nica Daniel M. Roy 37 33 0 07 Jun 2021
Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions Ameya Dilip Jagtap Yeonjong Shin Kenji Kawaguchi George Karniadakis ODL 45 131 0 20 May 2021
Activation function design for deep networks: linearity and effective initialisation Michael Murray V. Abrol Jared Tanner ODL LLMSV 29 18 0 17 May 2021
Deep limits and cut-off phenomena for neural networks B. Avelin A. Karlsson AI4CE 40 2 0 21 Apr 2021
A proof of convergence for stochastic gradient descent in the training of artificial neural networks with ReLU activation for constant target functions Arnulf Jentzen Adrian Riekert MLT 37 13 0 01 Apr 2021
Convergence rates for gradient descent in the training of overparameterized artificial neural networks with biases Arnulf Jentzen T. Kröger ODL 28 7 0 23 Feb 2021
Deep ReLU Networks Preserve Expected Length Boris Hanin Ryan Jeong David Rolnick 29 14 0 21 Feb 2021
A proof of convergence for gradient descent in the training of artificial neural networks for constant target functions Patrick Cheridito Arnulf Jentzen Adrian Riekert Florian Rossmannek 28 24 0 19 Feb 2021
A Convergence Theory Towards Practical Over-parameterized Deep Neural Networks Asaf Noy Yi Tian Xu Y. Aflalo Lihi Zelnik-Manor Rong Jin 41 3 0 12 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 40 2 0 04 Jan 2021
Towards a Mathematical Understanding of Neural Network-Based Machine Learning: what we know and what we don't E. Weinan Chao Ma Stephan Wojtowytsch Lei Wu AI4CE 24 133 0 22 Sep 2020
Tensor Programs III: Neural Matrix Laws Greg Yang 19 44 0 22 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 36 79 0 17 Sep 2020
Tensor Programs II: Neural Tangent Kernel for Any Architecture Greg Yang 58 135 0 25 Jun 2020
Non-convergence of stochastic gradient descent in the training of deep neural networks Patrick Cheridito Arnulf Jentzen Florian Rossmannek 14 37 0 12 Jun 2020
Composite Travel Generative Adversarial Networks for Tabular and Sequential Population Synthesis Godwin Badu-Marfo Bilal Farooq Zachary Patterson 39 31 0 15 Apr 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 40 120 0 26 Mar 2020
Machine Learning from a Continuous Viewpoint E. Weinan Chao Ma Lei Wu 33 102 0 30 Dec 2019
Optimization for deep learning: theory and algorithms Ruoyu Sun ODL 27 168 0 19 Dec 2019
Finite Depth and Width Corrections to the Neural Tangent Kernel Boris Hanin Mihai Nica MDE 30 149 0 13 Sep 2019
Infinitely deep neural networks as diffusion processes Stefano Peluchetti Stefano Favaro ODL 14 31 0 27 May 2019
Data driven approximation of parametrized PDEs by Reduced Basis and Neural Networks N. D. Santo S. Deparis Luca Pegolotti 19 66 0 02 Apr 2019
Interpreting Neural Networks Using Flip Points Roozbeh Yousefzadeh D. O’Leary AAML FAtt 22 17 0 21 Mar 2019
On the security relevance of weights in deep learning Kathrin Grosse T. A. Trost Marius Mosbach Michael Backes Dietrich Klakow AAML 32 6 0 08 Feb 2019
How to Start Training: The Effect of Initialization and Architecture Boris Hanin David Rolnick 19 253 0 05 Mar 2018
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 186 1,186 0 30 Nov 2014