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The rise of big data has amplified the need for efficient, user-friendly automated machine learning (AutoML) tools.
Data mining: practical machine learning tools and techniques with Java implementations
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Practical recommendations for gradient-based training of deep architectures
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Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures. In
James Bergstra, Daniel Yamins, and David Cox. 2013 · 2013
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Auto-WEKA: Combined selection and hyperparameter optimization of classification algorithms. In
Chris Thornton, Frank Hutter, Holger H Hoos, and Kevin Leyton-Brown. 2013 · 2013
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Jason Williams. 2013 · 2013
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The third Dialog State Tracking Challenge. In
Matthew Henderson, Blaise Thomson, and Jason D. Williams. 2014b · 2014
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Efficient and robust automated machine learning. In
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Trends in cleaning relational data: Consistency and deduplication
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Deep feature synthesis: Towards automating data science endeavors. In
James Max Kanter and Kalyan Veeramachaneni. 2015 · 2015
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Gradient-based hyperparameter optimization through reversible learning. In
Dougal Maclaurin, David Duvenaud, and Ryan Adams. 2015 · 2015
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Data cleaning: Overview and emerging challenges. In
Xu Chu, Ihab F Ilyas, Sanjay Krishnan, and Jiannan Wang. 2016 · 2016
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Explorekit: Automatic feature generation and selection. In
Gilad Katz, Eui Chul Richard Shin, and Dawn Song. 2016 · 2016
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Neural architecture search with reinforcement learning
Barret Zoph and Quoc V Le. 2016 · 2016
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Accelerating neural architecture search using performance prediction
Bowen Baker, Otkrist Gupta, Ramesh Raskar, and Nikhil Naik. 2017 · 2017
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AutoLearn-Automated Feature Generation and Selection. In
Ambika Kaul, Saket Maheshwary, and Vikram Pudi. 2017 · 2017
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Feature Engineering for Predictive Modeling using Reinforcement Learning
Udayan Khurana, Horst Samulowitz, and Deepak Turaga. 2017 · 2017
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Progressive neural architecture search
Chenxi Liu, Barret Zoph, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan Yuille, Jonathan Huang, and Kevin Murphy. 2017b · 2017
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Hierarchical representations for efficient architecture search
Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, and Koray Kavukcuoglu. 2017a · 2017
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How linked data can aid machine learning-based tasks. In
Michalis Mountantonakis and Yannis Tzitzikas. 2017 · 2017
AutoML to Date and Beyond: Challenges and Opportunities
Shubhra Kanti Karmaker, Md Mahadi Hassan, Micah J Smith, Lei Xu, Chengxiang Zhai, and Kalyan Veeramachaneni. 2021 · 2021
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Multi-domain Dialogue State Tracking with Recursive Inference. In
Lizi Liao, Tongyao Zhu, Le Hong Long, and Tat-Seng Chua. 2021 · 2021
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A Task-Oriented Dialogue Architecture via Transformer Neural Language Models and Symbolic Injection. In
Oscar J. Romero, Antian Wang, John Zimmerman, Aaron Steinfeld, and Anthony Tomasic. 2021 · 2021
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Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models. In
Qingyang Wu, Yichi Zhang, Yu Li, and Zhou Yu. 2021 · 2021
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PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, and Noah Fiedel. 2022 · 2022
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ATM: A distributed, collaborative, scalable system for automated machine learning. In
Thomas Swearingen, Will Drevo, Bennett Cyphers, Alfredo Cuesta-Infante, Arun Ross, and Kalyan Veeramachaneni. 2017 · 2017
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Automatic feature generation and selection in predictive analytics solutions
Suzanne van den Bosch. 2017 · 2017
Cited alongside, same era.
A study of feature construction for text-based forecasting of time series variables. In
Yiren Wang, Dominic Seyler, Shubhra Kanti Karmaker Santu, and ChengXiang Zhai. 2017 · 2017
Cited alongside, same era.
Learning transferable architectures for scalable image recognition
Barret Zoph, Vijay Vasudevan, Jonathon Shlens, and Quoc V Le. 2017 · 2017
Cited alongside, same era.
Contextual Topic Modeling For Dialog Systems. In
Chandra Khatri, Rahul Goel, Behnam Hedayatnia, Angeliki Metanillou, Anushree Venkatesh, Raefer Gabriel, and Arindam Mandal. 2018 · 2018
Cited alongside, same era.
Efficient Neural Architecture Search via Parameter Sharing
Hieu Pham, Melody Y Guan, Barret Zoph, Quoc V Le, and Jeff Dean. 2018 · 2018
Cited alongside, same era.
Regularized evolution for image classifier architecture search
Esteban Real, Alok Aggarwal, Yanping Huang, and Quoc V Le. 2018 · 2018
Cited alongside, same era.
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A Multi-Task BERT Model for Schema-Guided Dialogue State Tracking
Eleftherios Kapelonis, Efthymios Georgiou, and Alexandros Potamianos. 2022 · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul F. Christiano, Jan Leike, and Ryan Lowe. 2022 · 2022
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GODEL: Large-Scale Pre-training for Goal-Directed Dialog
Baolin Peng, Michel Galley, Pengcheng He, Chris Brockett, Lars Liden, Elnaz Nouri, Zhou Yu, Bill Dolan, and Jianfeng Gao. 2022 · 2022
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Gaining Insights into Unrecognized User Utterances in Task-Oriented Dialog Systems
Ella Rabinovich, Matan Vetzler, David Boaz, Vineet Kumar, Gaurav Pandey, and Ateret Anaby-Tavor. 2022 · 2022
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Exploring Universal Sentence Encoders for Zero-shot Text Classification. In
Souvika Sarkar, Dongji Feng, and Shubhra Kanti Karmaker Santu. 2022 · 2022
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Attention Modulation for Zero-Shot Cross-Domain Dialogue State Tracking. In
Mathilde Veron, Olivier Galibert, Guillaume Bernard, and Sophie Rosset · 2022
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Beyond Goldfish Memory: Long-Term Open-Domain Conversation. In
Jing Xu, Arthur Szlam, and Jason Weston. 2022 · 2022
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Fusing Task-Oriented and Open-Domain Dialogues in Conversational Agents
Tom Young, Frank Xing, Vlad Pandelea, Jinjie Ni, and Erik Cambria. 2022 · 2022
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GLM-130B: An Open Bilingual Pre-trained Model
Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, Weng Lam Tam, Zixuan Ma, Yufei Xue, Jidong Zhai, Wenguang Chen, Peng Zhang, Yuxiao Dong, and Jie Tang. 2022 · 2022
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OPT: Open Pre-trained Transformer Language Models
Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona T. Diab, Xian Li, Xi Victoria Lin, Todor Mihaylov, Myle Ott, Sam Shleifer, Kurt Shuster, Daniel Simig, Punit Singh Koura, Anjali Sridhar, Tianlu Wang, and Luke Zettlemoyer. 2022 · 2022
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FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
Lingjiao Chen, Matei Zaharia, and James Zou. 2023 · 2023
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TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks
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Ad-Hoc Monitoring of COVID-19 Global Research Trends for Well-Informed Policy Making
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LLaMA: Open and Efficient Foundation Language Models
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