A Survey of Optimization Methods from a Machine Learning Perspective

17 June 2019

Papers citing "A Survey of Optimization Methods from a Machine Learning Perspective"

30 / 30 papers shown

Title
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Wenhao Li Bo Jin Mingyi Hong Changhong Lu Xiangfeng Wang 46 0 0 07 May 2025
A Balanced Approach of Rapid Genetic Exploration and Surrogate Exploitation for Hyperparameter Optimization Chul Kim Inwhee Joe 21 2 0 10 Apr 2025
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers Xinyu Tang Xiaolei Wang Wayne Xin Zhao Siyuan Lu Yaliang Li Ji-Rong Wen LRM 49 13 0 28 Jan 2025
A Predictive Approach for Enhancing Accuracy in Remote Robotic Surgery Using Informer Model Muhammad Hanif Lashari Shakil Ahmed Wafa Batayneh Ashfaq A. Khokhar 35 0 0 24 Jan 2025
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization Zeyuan Ma Hongshu Guo Yue-jiao Gong Jun Zhang Kay Chen Tan 98 2 0 01 Nov 2024
Adaptive Class Emergence Training: Enhancing Neural Network Stability and Generalization through Progressive Target Evolution Jaouad Dabounou 24 0 0 04 Sep 2024
A Full Adagrad algorithm with O(Nd) operations Antoine Godichon-Baggioni Wei Lu Bruno Portier ODL 49 0 0 03 May 2024
Multiplicative update rules for accelerating deep learning training and increasing robustness Manos Kirtas Nikolaos Passalis Anastasios Tefas AAML OOD 26 2 0 14 Jul 2023
Full Parameter Fine-tuning for Large Language Models with Limited Resources Kai Lv Yuqing Yang Tengxiao Liu Qi-jie Gao Qipeng Guo Xipeng Qiu 40 124 0 16 Jun 2023
CQural: A Novel CNN based Hybrid Architecture for Quantum Continual Machine Learning Sanyam Jain CLL 19 1 0 16 May 2023
Exploring the Optimized Value of Each Hyperparameter in Various Gradient Descent Algorithms Abel C. H. Chen 28 2 0 23 Dec 2022
A Continuous Convolutional Trainable Filter for Modelling Unstructured Data Dario Coscia L. Meneghetti N. Demo G. Stabile G. Rozza 16 7 0 24 Oct 2022
U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers Louis-Franccois Bouchard Mohsen Ben Lazreg Matthew Toews 19 0 0 05 Jun 2022
Multi-task Optimization Based Co-training for Electricity Consumption Prediction Hui Song •. A. K. Qin Chenggang Yan AI4TS 14 4 0 31 May 2022
Byzantine Fault Tolerance in Distributed Machine Learning : a Survey Djamila Bouhata Hamouma Moumen Moumen Hamouma Ahcène Bounceur AI4CE 23 7 0 05 May 2022
Comparative analysis of machine learning methods for active flow control F. Pino Lorenzo Schena Jean Rabault M. A. Mendez 16 43 0 23 Feb 2022
Comparative assessment of federated and centralized machine learning Ibrahim Abdul Majeed Sagar Kaushik Aniruddha Bardhan Venkata Siva Kumar Tadi Hwang-Ki Min K. Kumaraguru Rajasekhara Reddy Duvvuru Muni FedML 10 6 0 03 Feb 2022
Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning Shengjia Zhang Tiancheng Lin Yi Tian Xu 14 5 0 03 Dec 2021
Optimization with Constraint Learning: A Framework and Survey Adejuyigbe O. Fajemisin Donato Maragno D. Hertog 50 46 0 05 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 32 22 0 20 Sep 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 27 2 0 04 Jan 2021
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Muhammad Shafique BDL 45 139 0 21 Dec 2020
An ensemble-based approach by fine-tuning the deep transfer learning models to classify pneumonia from chest X-ray images Sagar Kora Venu LM&MA 6 20 0 11 Nov 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 22 79 0 17 Sep 2020
Evaluation of machine learning algorithms for Health and Wellness applications: a tutorial Jussi Tohka M. Gils 11 88 0 31 Aug 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 252 11,677 0 09 Mar 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,886 0 15 Sep 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,543 0 25 Jan 2016
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 250 13,360 0 25 Aug 2014
MCMC using Hamiltonian dynamics Radford M. Neal 137 3,260 0 09 Jun 2012