An overview of gradient descent optimization algorithms

15 September 2016

Papers citing "An overview of gradient descent optimization algorithms"

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XVO: Generalized Visual Odometry via Cross-Modal Self-Training Tohida Rehman Ronit Mandal Jimuyang Zhang Debarshi Kumar Sanyal SSL 33 17 0 28 Sep 2023
Distilling ODE Solvers of Diffusion Models into Smaller Steps Sanghwan Kim Hao Tang Fisher Yu 28 3 0 28 Sep 2023
Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training Selim F. Yilmaz Benjamin Ghaemmaghami A. Singh Benjamin Cho Leo Orshansky Lei Deng Michael Orshansky AI4TS 28 0 0 27 Sep 2023
ADGym: Design Choices for Deep Anomaly Detection Minqi Jiang Chaochuan Hou Ao Zheng Songqiao Han Hailiang Huang Qingsong Wen Xiyang Hu Yue Zhao 26 14 0 27 Sep 2023
VPA: Fully Test-Time Visual Prompt Adaptation Jiachen Sun Mark Ibrahim Melissa Hall Ivan Evtimov Z. Morley Mao Cristian Canton Ferrer C. Hazirbas VLM 43 6 0 26 Sep 2023
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where Zhi-Yi Chin Chieh-Ming Jiang Ching-Chun Huang Pin-Yu Chen Wei-Chen Chiu SSL 29 0 0 22 Sep 2023
Unsupervised Representations Improve Supervised Learning in Speech Emotion Recognition Amirali Soltani Tehrani Niloufar Faridani Ramin Toosi SSL 22 2 0 22 Sep 2023
NoisyNN: Exploring the Influence of Information Entropy Change in Learning Systems Xiao-Xing Yu Zhe Huang Yao Xue Lu Zhang Li Wang Tianming Liu Dajiang Zhu 24 6 0 19 Sep 2023
Differentiable Boustrophedon Paths That Enable Optimization Via Gradient Descent Thomas Manzini Robin Murphy 29 0 0 18 Sep 2023
Neural Network Exemplar Parallelization with Go Georg Wiesinger Erich Schikuta MoE 21 0 0 15 Sep 2023
Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit? Bill Psomas Ioannis Kakogeorgiou Konstantinos Karantzalos Yannis Avrithis ViT 40 8 0 13 Sep 2023
Harnessing Deep Q-Learning for Enhanced Statistical Arbitrage in High-Frequency Trading: A Comprehensive Exploration Soumyadip Sarkar AIFin 22 0 0 13 Sep 2023
Robust-MBDL: A Robust Multi-branch Deep Learning Based Model for Remaining Useful Life Prediction and Operational Condition Identification of Rotating Machines Khoa Tran H. Vu L. D. Pham N. Boudaoud 8 0 0 12 Sep 2023
Stochastic Gradient Descent-like relaxation is equivalent to Metropolis dynamics in discrete optimization and inference problems Maria Chiara Angelini A. Cavaliere Raffaele Marino F. Ricci-Tersenghi 61 5 0 11 Sep 2023
Empirical Risk Minimization for Losses without Variance Guanhua Fang P. Li G. Samorodnitsky 31 1 0 07 Sep 2023
Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning In-Ug Yoon Taehyean Choi Sun-Kyung Lee Young-Min Kim Jong-Hwan Kim CLL 31 6 0 06 Sep 2023
RoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised Learning M. Akhtar Muhammad Tanveer Mohd. Arshad 30 14 0 05 Sep 2023
Delving into Ipsilateral Mammogram Assessment under Multi-View Network Thai Ngoc Toan Truong Thanh-Huy Nguyen Ba Thinh Lam Duy V.M. Nguyen Hong Phuc Nguyen 20 10 0 05 Sep 2023
Towards General and Efficient Online Tuning for Spark Yang Li Huaijun Jiang Yu Shen Yide Fang Xiaofeng Yang ... Xinyi Zhang Wentao Zhang Ce Zhang Peng Chen Bin Cui 29 12 0 05 Sep 2023
On the training and generalization of deep operator networks Sanghyun Lee Yeonjong Shin 16 19 0 02 Sep 2023
Object-Centric Multiple Object Tracking Zixu Zhao Jiaze Wang Max Horn Yizhuo Ding Tong He ... Bernt Schiele Yanwei Fu Francesco Locatello Zheng-Wei Zhang Tianjun Xiao VOT OCL 31 6 0 01 Sep 2023
Proof of Deep Learning: Approaches, Challenges, and Future Directions Mahmoud Salhab Khaleel W. Mershad 26 1 0 31 Aug 2023
Efficient labeling of solar flux evolution videos by a deep learning model Subhamoy Chatterjee A. Muñoz-Jaramillo D. Lamb 9 3 0 29 Aug 2023
Multilayer Multiset Neuronal Networks -- MMNNs Alexandre Benatti L. D. F. Costa 14 1 0 28 Aug 2023
Dance with You: The Diversity Controllable Dancer Generation via Diffusion Models Siyue Yao Mingjie Sun Bingliang Li Fengyu Yang Junle Wang Ruimao Zhang DiffM 42 18 0 23 Aug 2023
Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning Yun-Hin Chan Rui Zhou Running Zhao Zhihan Jiang Edith C.H. Ngai FedML 38 8 0 22 Aug 2023
Variational optimization of the amplitude of neural-network quantum many-body ground states Jia-Qi Wang Rong-Qiang He Zhong-Yi Lu 21 5 0 18 Aug 2023
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning Guangyu Sun Matías Mendieta Jun Luo Shandong Wu Chong Chen 38 16 0 17 Aug 2023
Gradient-Based Post-Training Quantization: Challenging the Status Quo Edouard Yvinec Arnaud Dapogny Kévin Bailly MQ 42 0 0 15 Aug 2023
ADD: An Automatic Desensitization Fisheye Dataset for Autonomous Driving Zizhang Wu Xinyuan Chen Hongyang Wei Fan Song Tianhao Xu CVBM 21 4 0 15 Aug 2023
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization Jungsoo Lee Debasmit Das Jaegul Choo Sungha Choi TTA VLM 43 28 0 14 Aug 2023
NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search Edouard Yvinec Arnaud Dapogny Kévin Bailly MQ 24 6 0 10 Aug 2023
A Computational Design Pipeline to Fabricate Sensing Network Physicalizations S. Bae Takanori Fujiwara Anders Ynnerman E. Do Michael L. Rivera D. Szafir AI4CE 28 8 0 09 Aug 2023
FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision K. Hashmi Goutham Kallempudi D. Stricker Muhammad Zeshan Afzal 38 19 0 07 Aug 2023
Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction E. López Fergal Stapleton 24 3 0 04 Aug 2023
Fast Slate Policy Optimization: Going Beyond Plackett-Luce Otmane Sakhi D. Rohde Nicolas Chopin OffRL 35 3 0 03 Aug 2023
Stable Adam Optimization for 16-bit Neural Networks Training Juyoung Yun 10 1 0 30 Jul 2023
Cross-dimensional transfer learning in medical image segmentation with deep learning Hicham Messaoudi Ahror Belaid Douraied BEN SALEM Pierre-Henri Conze MedIm 30 24 0 29 Jul 2023
Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis Conor Hassan Roberto Salomone Kerrie Mengersen 28 6 0 28 Jul 2023
Mathematical Modeling of BCG-based Bladder Cancer Treatment Using Socio-Demographics Elizaveta Savchenko Ariel Rosenfeld S. Bunimovich-Mendrazitsky 16 9 0 26 Jul 2023
DyPP: Dynamic Parameter Prediction to Accelerate Convergence of Variational Quantum Algorithms Satwik Kundu Debarshi Kundu Swaroop Ghosh 49 0 0 23 Jul 2023
Convergence of Adam for Non-convex Objectives: Relaxed Hyperparameters and Non-ergodic Case Meixuan He Yuqing Liang Jinlan Liu Dongpo Xu 25 8 0 20 Jul 2023
Sig-Splines: universal approximation and convex calibration of time series generative models Magnus Wiese Phillip Murray R. Korn AI4TS 34 1 0 19 Jul 2023
Accelerating Distributed ML Training via Selective Synchronization S. Tyagi Martin Swany FedML 41 3 0 16 Jul 2023
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning Byung-Kwan Lee Junho Kim Yonghyun Ro AAML 33 9 0 14 Jul 2023
Cramer Type Distances for Learning Gaussian Mixture Models by Gradient Descent Ruichong Zhang 28 0 0 13 Jul 2023
Machine Learning practices and infrastructures G. Berman 22 3 0 13 Jul 2023
Predicting Outcomes in Long COVID Patients with Spatiotemporal Attention Degan Hao M. Negahdar 16 0 0 07 Jul 2023
Neural Abstraction-Based Controller Synthesis and Deployment R. Majumdar Mahmoud Salamati Sadegh Soudjani 30 2 0 07 Jul 2023
OLR-WA Online Regression with Weighted Average Mohammad Abu-Shaira Gregory D. Speegle 14 2 0 06 Jul 2023