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AutoML: A Survey of the State-of-the-Art

2 August 2019

Papers citing "AutoML: A Survey of the State-of-the-Art"

50 / 365 papers shown

Title
Pruning Convolutional Filters via Reinforcement Learning with Entropy Minimization Bogdan Musat Razvan Andonie 90 0 0 08 Dec 2023
FRAPPE: A Group Fairness Framework for Post-Processing Everything Alexandru Tifrea Preethi Lahoti Ben Packer Yoni Halpern Ahmad Beirami Flavien Prost 109 8 0 05 Dec 2023
OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline Xianda Guo Chenming Zhang Juntao Lu Yiqi Wang Yiqun Duan Tian Yang Zheng Zhu Long Chen 3DV 155 16 0 01 Dec 2023
A knowledge-driven AutoML architecture C. Cofaru Johan Loeckx 82 0 0 28 Nov 2023
Auto-CsiNet: Scenario-customized Automatic Neural Network Architecture Generation for Massive MIMO CSI Feedback Xiangyi Li Jiajia Guo Chao-Kai Wen Shi Jin 64 2 0 27 Nov 2023
Algorithm Evolution Using Large Language Model Fei Liu Xialiang Tong Mingxuan Yuan Qingfu Zhang 85 46 0 26 Nov 2023
What Can AutoML Do For Continual Learning? Mert Kilickaya Joaquin Vanschoren 67 2 0 20 Nov 2023
AutoML for Large Capacity Modeling of Meta's Ranking Systems Hang Yin Kuang-Hung Liu Mengying Sun Yuxin Chen Buyun Zhang ... Huayu Li Zhengxing Chen Wen-Yen Chen Jiyan Yang Wei Wen OffRL 91 2 0 14 Nov 2023
CycleGANAS: Differentiable Neural Architecture Search for CycleGAN Taegun An Changhee Joo GAN 71 3 0 13 Nov 2023
Symbolic Regression as Feature Engineering Method for Machine and Deep Learning Regression Tasks Assaf Shmuel Oren Glickman Teddy Lazebnik 90 10 0 10 Nov 2023
Learned Causal Method Prediction Shantanu Gupta Cheng Zhang Agrin Hilmkil OOD 101 2 0 07 Nov 2023
TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications David Salinas Nick Erickson 102 14 0 06 Nov 2023
QualEval: Qualitative Evaluation for Model Improvement Vishvak Murahari Ameet Deshpande Peter Clark Tanmay Rajpurohit Ashish Sabharwal Karthik Narasimhan Ashwin Kalyan 65 5 0 06 Nov 2023
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications Robert Tjarko Lange Yujin Tang Yingtao Tian ELM 91 3 0 04 Nov 2023
Rethinking Pre-Training in Tabular Data: A Neighborhood Embedding Perspective Han-Jia Ye Qi-Le Zhou De-Chuan Zhan De-Chuan Zhan Wei-Lun Chao 70 10 0 31 Oct 2023
An Approach for Efficient Neural Architecture Search Space Definition Leo Pouy Fouad Khenfri Patrick Leserf C. Mraidha Cherif Larouci 34 0 0 25 Oct 2023
Target Variable Engineering Jessica Clark 100 0 0 13 Oct 2023
MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation Qian Huang Jian Vora Percy Liang J. Leskovec ELM LLMAG 85 96 0 05 Oct 2023
Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data Danrui Qi Jinglin Peng Yongjun He Jiannan Wang TPM 83 3 0 04 Oct 2023
Data Cleaning and Machine Learning: A Systematic Literature Review Pierre-Olivier Coté Amin Nikanjam Nafisa Ahmed D. Humeniuk Foutse Khomh 97 31 0 03 Oct 2023
Model Share AI: An Integrated Toolkit for Collaborative Machine Learning Model Development, Provenance Tracking, and Deployment in Python Heinrich Peters Michael Parrott 46 0 0 27 Sep 2023
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions Dongjie Wang Meng Xiao Min-Ying Wu P. Wang Yuanchun Zhou Yanjie Fu 106 19 0 24 Sep 2023
Evolution of Convolutional Neural Network (CNN): Compute vs Memory bandwidth for Edge AI Dwith Chenna 29 4 0 24 Sep 2023
Soft Merging: A Flexible and Robust Soft Model Merging Approach for Enhanced Neural Network Performance Hao Chen Yusen Wu Phuong Nguyen Chao Liu Yelena Yesha FedML MoMe 54 0 0 21 Sep 2023
Self-Refined Large Language Model as Automated Reward Function Designer for Deep Reinforcement Learning in Robotics Jiayang Song Zhehua Zhou Jiawei Liu Chunrong Fang Zhan Shu Lei Ma 93 32 0 13 Sep 2023
Unleashing the Power of Graph Learning through LLM-based Autonomous Agents Lanning Wei Zhiqiang He Huan Zhao Quanming Yao LLMAG 73 1 0 08 Sep 2023
Better Practices for Domain Adaptation Linus Ericsson Da Li Timothy M. Hospedales AI4CE TTA 55 4 0 07 Sep 2023
OutRank: Speeding up AutoML-based Model Search for Large Sparse Data sets with Cardinality-aware Feature Ranking Blaž Škrlj B. Mramor 33 0 0 04 Sep 2023
A General Recipe for Automated Machine Learning in Practice H. Vázquez 53 3 0 29 Aug 2023
Comparing AutoML and Deep Learning Methods for Condition Monitoring using Realistic Validation Scenarios P. Goodarzi A. Schütze T. Schneider 44 1 0 28 Aug 2023
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data Peng Li Zhiyi Chen Xu Chu Kexin Rong 71 13 0 20 Aug 2023
Forensic Data Analytics for Anomaly Detection in Evolving Networks Li Yang Abdallah Moubayed Abdallah Shami Amine Boukhtouta P. Heidari Stere Preda Richard Brunner D. Migault Adel Larabi 102 2 0 17 Aug 2023
ResBuilder: Automated Learning of Depth with Residual Structures Julian Burghoff Matthias Rottmann Jill von Conta S. Schoenen A. Witte Hanno Gottschalk 61 0 0 16 Aug 2023
Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey Liping Wang Jiawei Li Lifan Zhao Zhizhuo Kou Xiaohan Wang Xinyi Zhu Hao Wang Yanyan Shen Lei Chen AIFin 111 9 0 09 Aug 2023
CLAMS: A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering Hyeon Jeon Ghulam Jilani Quadri Hyunwoo Lee Paul Rosen D. Szafir Jinwook Seo 68 16 0 01 Aug 2023
Predicting delays in Indian lower courts using AutoML and Decision Forests M. Bhatnagar Shivraj Huchhanavar 83 1 0 30 Jul 2023
PEANUT: A Human-AI Collaborative Tool for Annotating Audio-Visual Data Zheng Zhang Zheng Ning Chenliang Xu Yapeng Tian Toby Jia-Jun Li 98 7 0 27 Jul 2023
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Societal Implications and Responsible Governance I. Triguero Daniel Molina Javier Poyatos Javier Del Ser Francisco Herrera AI4TS AI4MH 122 5 0 26 Jul 2023
A Survey on Multi-Objective Neural Architecture Search Seyed Mahdi Shariatzadeh M. Fathy R. Berangi M. Shahverdy 103 1 0 18 Jul 2023
PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization Daniele Jahier Pagliari Matteo Risso Beatrice Alessandra Motetti Luca Bompani 71 9 0 18 Jul 2023
Multi-objective Evolutionary Search of Variable-length Composite Semantic Perturbations Jialiang Sun Wen Yao Tingsong Jiang Xiaoqian Chen AAML 55 0 0 13 Jul 2023
Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities Guihong Li Duc-Tuong Hoang Kartikeya Bhardwaj Ming Lin Zhangyang Wang R. Marculescu 135 15 0 05 Jul 2023
Automatic Design of Semantic Similarity Ensembles Using Grammatical Evolution J. Martinez-Gil 121 0 0 03 Jul 2023
Joint Learning of Network Topology and Opinion Dynamics Based on Bandit Algorithms Yu Xing Xudong Sun Karl H. Johansson 23 0 0 25 Jun 2023
Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture Mehraveh Javan Matthew Toews M. Pedersoli 118 1 0 21 Jun 2023
Retrieval-Based Transformer for Table Augmentation Michael R. Glass Xueqing Wu Ankita Rajaram Naik Gaetano Rossiello A. Gliozzo RALM LMTD 88 6 0 20 Jun 2023
Semantic-Based Neural Network Repair Richard Schumi Jun Sun AAML KELM 60 4 0 12 Jun 2023
Rethink DARTS Search Space and Renovate a New Benchmark Jiuling Zhang Zhiming Ding 65 1 0 12 Jun 2023
A Probabilistic Framework for Modular Continual Learning Lazar Valkov Akash Srivastava Swarat Chaudhuri Charles Sutton CLL 46 1 0 11 Jun 2023
DP-HyPO: An Adaptive Private Hyperparameter Optimization Framework Hua Wang Sheng-yang Gao Huanyu Zhang Weijie J. Su Milan Shen 136 5 0 09 Jun 2023