AutoML to Date and Beyond: Challenges and Opportunities

21 October 2020

Shubhra (Santu) Karmaker

Papers citing "AutoML to Date and Beyond: Challenges and Opportunities"

20 / 20 papers shown

Title
Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation Dongjie Wang Yanyong Huang Wangyang Ying Haoyue Bai Nanxu Gong ... Meng Xiao Pengfei Wang P. Wang Hui Xiong Yanjie Fu LMTD 45 5 0 17 Jan 2025
Prediction-Assisted Online Distributed Deep Learning Workload Scheduling in GPU Clusters Ziyue Luo Jia-Wei Liu Myungjin Lee Ness B. Shroff 41 0 0 09 Jan 2025
PyGen: A Collaborative Human-AI Approach to Python Package Creation Saikat Barua Mostafizur Rahman Md Jafor Sadek Rafiul Islam Shehnaz Khaled Md. Shohrab Hossain 44 1 0 13 Nov 2024
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments Angie Boggust Venkatesh Sivaraman Yannick Assogba Donghao Ren Dominik Moritz Fred Hohman VLM 52 3 0 06 Aug 2024
No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks Feng-Lei Fan Meng Wang Hang Dong Jianwei Ma Tieyong Zeng 40 0 0 03 May 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 65 5 0 13 Mar 2024
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation Jikai Jin Vasilis Syrgkanis CML 67 1 0 22 Feb 2024
A knowledge-driven AutoML architecture C. Cofaru Johan Loeckx 23 0 0 28 Nov 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 24 70 0 10 Jul 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK L. Nannini Agathe Balayn A. Smith 21 37 0 20 Apr 2023
Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments Zac Pullar-Strecker Xinglong Chang Liam Brydon Ioannis A Ziogas Katharina Dost Jörg Simon Wicker 16 1 0 17 Apr 2023
Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work Jennifer Rogers Anamaria Crisan 18 7 0 05 Apr 2023
Addressing UX Practitioners' Challenges in Designing ML Applications: an Interactive Machine Learning Approach K. J. Kevin Feng David W. McDonald HAI 20 11 0 23 Feb 2023
AutoML in The Wild: Obstacles, Workarounds, and Expectations Yuan Sun Qiurong Song Xinning Gui Fenglong Ma Ting Wang 21 13 0 21 Feb 2023
Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment Nikolay O. Nikitin Sergey Teryoshkin Valerii Pokrovskii Sergey Pakulin D. Nasonov 26 1 0 12 Jan 2023
Natural Language to Code Generation in Interactive Data Science Notebooks Pengcheng Yin Wen-Ding Li Kefan Xiao Abhishek Rao Yeming Wen ... Paige Bailey Michele Catasta Henryk Michalewski Oleksandr Polozov Charles Sutton 33 56 0 19 Dec 2022
The Grind for Good Data: Understanding ML Practitioners' Struggles and Aspirations in Making Good Data Inha Cha Juhyun Oh Cheul Young Park Jiyoon Han Hwalsuk Lee 29 2 0 28 Nov 2022
Hyperparameter Optimization for Unsupervised Outlier Detection Yue Zhao L. Akoglu 27 1 0 24 Aug 2022
Survey on Feature Selection T. Abdallah B. Iglesia 60 230 0 10 Oct 2015