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An overview of gradient descent optimization algorithms

15 September 2016

Papers citing "An overview of gradient descent optimization algorithms"

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Title
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information Yi Zeng Minzhou Pan H. Just Lingjuan Lyu M. Qiu R. Jia AAML 96 182 0 11 Apr 2022
Position-wise optimizer: A nature-inspired optimization algorithm A. Valizadeh ODL 33 0 0 11 Apr 2022
Accelerating Backward Aggregation in GCN Training with Execution Path Preparing on GPUs Shaoxian Xu Zhiyuan Shao Ci-Syuan Yang Xiaofei Liao Hai Jin GNN 50 1 0 06 Apr 2022
Forensic Analysis and Localization of Multiply Compressed MP3 Audio Using Transformers Ziyue Xiang Paolo Bestagini Stefano Tubaro Edward J. Delp 55 10 0 30 Mar 2022
Convergence of gradient descent for deep neural networks S. Chatterjee ODL 77 22 0 30 Mar 2022
Fair Contrastive Learning for Facial Attribute Classification Sungho Park Jewook Lee Pilhyeon Lee Sunhee Hwang D. Kim H. Byun FaML 71 92 0 30 Mar 2022
Parameter-efficient Model Adaptation for Vision Transformers Xuehai He Chunyuan Li Pengchuan Zhang Jianwei Yang Xinze Wang 77 91 0 29 Mar 2022
Bringing Linearly Transformed Cosines to Anisotropic GGX T. AakashK. Eric Heitz Jonathan Dupuy P. J. Narayanan 110 10 0 22 Mar 2022
Practical tradeoffs between memory, compute, and performance in learned optimizers Luke Metz C. Freeman James Harrison Niru Maheswaranathan Jascha Narain Sohl-Dickstein 150 32 0 22 Mar 2022
Making DeepFakes more spurious: evading deep face forgery detection via trace removal attack Chi Liu Huajie Chen Tianqing Zhu Jun Zhang Wanlei Zhou AAML 69 24 0 22 Mar 2022
Multi-modal learning for predicting the genotype of glioma Yiran Wei Xi Chen Lei Zhu Lipei Zhang Carola-Bibiane Schönlieb S. Price Chong Li 67 26 0 21 Mar 2022
A Novel Transparency Strategy-based Data Augmentation Approach for BI-RADS Classification of Mammograms Sam B. Tran Huyen T. X. Nguyen Chi Phan Hieu H. Pham H. Nguyen 29 4 0 20 Mar 2022
Meta-Learning for Online Update of Recommender Systems Minseok Kim Hwanjun Song Yooju Shin Dongmin Park Kijung Shin Jae-Gil Lee KELM 79 19 0 19 Mar 2022
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences Prune Truong Martin Danelljan Feng Yu Luc Van Gool 85 33 0 08 Mar 2022
GaitEdge: Beyond Plain End-to-end Gait Recognition for Better Practicality Junhao Liang Chao Fan Saihui Hou Chuanfu Shen Yongzhen Huang Shiqi Yu CVBM 96 76 0 08 Mar 2022
Symmetric Convolutional Filters: A Novel Way to Constrain Parameters in CNN Harish Agrawal T. Sumana S. Nandy 37 0 0 26 Feb 2022
Soft Actor-Critic Deep Reinforcement Learning for Fault Tolerant Flight Control Killian Dally E. Kampen 61 16 0 16 Feb 2022
Flexible learning of quantum states with generative query neural networks Yan Zhu Yadong Wu Ge Bai Dongsheng Wang Yuexuan Wang G. Chiribella 77 36 0 14 Feb 2022
Emotion Based Hate Speech Detection using Multimodal Learning Aneri Rana Sonali Jha 74 41 0 13 Feb 2022
EvoJAX: Hardware-Accelerated Neuroevolution Yujin Tang Yingtao Tian David R Ha 111 42 0 10 Feb 2022
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets Tianlong Chen Xuxi Chen Xiaolong Ma Yanzhi Wang Zhangyang Wang 82 34 0 09 Feb 2022
Interpretability methods of machine learning algorithms with applications in breast cancer diagnosis P. Karatza K. Dalakleidi M. Athanasiou K. Nikita 26 17 0 04 Feb 2022
Fast Moving Natural Evolution Strategy for High-Dimensional Problems Masahiro Nomura I. Ono 46 6 0 27 Jan 2022
Online Planning in POMDPs with Self-Improving Simulators Jinke He Miguel Suau Hendrik Baier Michael Kaisers F. Oliehoek 59 1 0 27 Jan 2022
Deep Q-learning: a robust control approach B. Varga Balázs Kulcsár M. Chehreghani OOD 55 11 0 21 Jan 2022
A Review of Deep Transfer Learning and Recent Advancements Mohammadreza Iman Khaled Rasheed H. Arabnia 83 392 0 19 Jan 2022
OmniPrint: A Configurable Printed Character Synthesizer Haozhe Sun Wei-Wei Tu Isabelle M Guyon SyDa 88 7 0 17 Jan 2022
A Negotiating Strategy for a Hybrid Goal Function in Multilateral Negotiation Alon Stern Sarit Kraus David Sarne 30 1 0 11 Jan 2022
Differentiable and Scalable Generative Adversarial Models for Data Imputation Yangyang Wu Jun Wang Xiaoye Miao Wei Cao Jianwei Yin SyDa 93 14 0 10 Jan 2022
Automated Dissipation Control for Turbulence Simulation with Shell Models Ann-Kathrin Dombrowski Klaus-Robert Muller W. Müller AI4CE 28 0 0 07 Jan 2022
A machine learning analysis of the relationship between some underlying medical conditions and COVID-19 susceptibility Mostafa Rezapour Colin A. Varady 39 4 0 24 Dec 2021
Data driven design of optical resonators Joeri Lenaerts Hannah Pinson Vincent Ginis 26 0 0 21 Dec 2021
Efficient Visual Tracking with Exemplar Transformers Philippe Blatter Menelaos Kanakis Martin Danelljan Luc Van Gool ViT 128 84 0 17 Dec 2021
Visual Microfossil Identification via Deep Metric Learning Tayfun Karaderi T. Burghardt Allison Y. Hsiang Jacob Ramaer D. Schmidt 76 0 0 17 Dec 2021
Convergence proof for stochastic gradient descent in the training of deep neural networks with ReLU activation for constant target functions Martin Hutzenthaler Arnulf Jentzen Katharina Pohl Adrian Riekert Luca Scarpa MLT 114 7 0 13 Dec 2021
Radar Occupancy Prediction with Lidar Supervision while Preserving Long-Range Sensing and Penetrating Capabilities P. Kung Chieh-Chih Wang Wen-Chieh Lin 71 15 0 08 Dec 2021
A novel multi-view deep learning approach for BI-RADS and density assessment of mammograms Huyen T. X. Nguyen Sam B. Tran D. Nguyen Hieu H. Pham H. Nguyen 46 20 0 08 Dec 2021
Generative Modeling of Turbulence Claudia Drygala Benjamin Winhart F. Mare Hanno Gottschalk GAN AI4CE 94 39 0 05 Dec 2021
Provably Valid and Diverse Mutations of Real-World Media Data for DNN Testing Yuanyuan Yuan Qi Pang Shuai Wang DiffM AAML MedIm 80 6 0 03 Dec 2021
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines Jiachen Sun Akshay Mehra B. Kailkhura Pin-Yu Chen Dan Hendrycks Jihun Hamm Z. Morley Mao AAML 79 22 0 01 Dec 2021
Predicting Poverty Level from Satellite Imagery using Deep Neural Networks Varun Chitturi Zaid Nabulsi 56 7 0 30 Nov 2021
Neuron with Steady Response Leads to Better Generalization Qiang Fu Lun Du Haitao Mao Xu Chen Wei Fang Shi Han Dongmei Zhang 40 5 0 30 Nov 2021
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression Sian Jin Chengming Zhang Xintong Jiang Yunhe Feng Hui Guan Guanpeng Li Shuaiwen Leon Song Dingwen Tao 46 25 0 18 Nov 2021
Using Computational Intelligence for solving the Ornstein-Zernike equation Edwin Bedolla 78 0 0 17 Nov 2021
Learning Free-Surface Flow with Physics-Informed Neural Networks Raphael Leiteritz Marcel Hurler Dirk Pflüger PINN AI4CE 55 7 0 17 Nov 2021
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges Mohammad M. Al-Quraan Lina S. Mohjazi Lina Bariah A. Centeno A. Zoha Sami Muhaidat Mérouane Debbah Muhammad Ali Imran 104 67 0 14 Nov 2021
Learning to ignore: rethinking attention in CNNs Firas Laakom K. Chumachenko Jenni Raitoharju Alexandros Iosifidis Moncef Gabbouj 109 7 0 10 Nov 2021
GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation Zahra Zamanzadeh Darban Mohammad Hadi Valipour 99 113 0 06 Nov 2021
Human Attention in Fine-grained Classification Yao Rong Wenjia Xu Zeynep Akata Enkelejda Kasneci 98 37 0 02 Nov 2021
Large-Scale Deep Learning Optimizations: A Comprehensive Survey Xiaoxin He Fuzhao Xue Xiaozhe Ren Yang You 90 15 0 01 Nov 2021