Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Diverse Policies Converge in Reward-Free Markov Decision Processes.

[BibT_eX]

[DOI]

Fanqi Lin

Shiyu Huang

Wei-Wei Tu

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

Online Frank-Wolfe with Arbitrary Delays.

[BibT_eX]

[DOI]

Yuanyu Wan

Wei-Wei Tu

Lijun Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

VSM: A Versatile Semi-supervised Model for Multi-modal Cell Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of The Cell Segmentation Challenge in Multi-modality High-Resolution Microscopy Images, 2022

Multiple Temporal Fusion based Weakly-supervised Pre-training Techniques for Video Categorization.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

Guest Editorial: Automated Machine Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Optimal ϵ -stealthy attack in cyber-physical systems.

[BibT_eX]

[DOI]

Weiwei Tu

Jiuxiang Dong

Ding Zhai

J. Frankl. Inst., 2021

Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking for Everyone.

[BibT_eX]

[DOI]

CoRR, 2021

Robust Long-Tailed Learning under Label Noise.

[BibT_eX]

[DOI]

CoRR, 2021

TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction.

[BibT_eX]

[DOI]

CoRR, 2021

AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge.

[BibT_eX]

[DOI]

Zhen Xu

Wei-Wei Tu

Isabelle Guyon

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

OmniPrint: A Configurable Printed Character Synthesizer.

[BibT_eX]

[DOI]

Haozhe Sun

Wei-Wei Tu

Isabelle Guyon

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Towards Robust Prediction on Tail Labels.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Auto-KWS 2021 Challenge: Task, Datasets, and Baselines.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Search to aggregate neighborhood for graph neural network.

[BibT_eX]

[DOI]

Huan Zhao

Quanming Yao

Weiwei Tu

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Understanding Social Behavior in Dyadic and Small Group Interactions: Preface.

[BibT_eX]

[DOI]

Cristina Palmero

Júlio C. S. Jacques Júnior

Proceedings of the ChaLearn LAP Challenge on Understanding Social Behavior in Dyadic and Small Group Interactions, 2021

ChaLearn LAP Challenges on Self-Reported Personality Recognition and Non-Verbal Behavior Forecasting During Social Dyadic Interactions: Dataset, Design, and Results.

[BibT_eX]

[DOI]

Proceedings of the ChaLearn LAP Challenge on Understanding Social Behavior in Dyadic and Small Group Interactions, 2021

Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios.

[BibT_eX]

[DOI]

Proceedings of the ChaLearn LAP Challenge on Understanding Social Behavior in Dyadic and Small Group Interactions, 2021

Didn't see that coming: a survey on non-verbal social human behavior forecasting.

[BibT_eX]

[DOI]

Proceedings of the ChaLearn LAP Challenge on Understanding Social Behavior in Dyadic and Small Group Interactions, 2021

Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability.

[BibT_eX]

[DOI]

Tao Han

Wei-Wei Tu

Yu-Feng Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction.

[BibT_eX]

[DOI]

Proceedings of the Federated Learning - Privacy and Incentive, 2020

Towards automated computer vision: analysis of the AutoCV challenges 2019.

[BibT_eX]

[DOI]

Júlio C. S. Jacques Júnior

Pattern Recognit. Lett., 2020

MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Network On Network for Tabular Data Classification in Real-world Applications.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

Projection-free Distributed Online Convex Optimization with $O(\sqrt{T})$ Communication Complexity.

[BibT_eX]

[DOI]

Yuanyu Wan

Wei-Wei Tu

Lijun Zhang

Proceedings of the 37th International Conference on Machine Learning, 2020

SAdam: A Variant of Adam for Strongly Convex Functions.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Efficient Neural Architecture Search via Proximal Iterations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Towards AutoML in the presence of Drift: first results.

[BibT_eX]

[DOI]

CoRR, 2019

Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions.

[BibT_eX]

[DOI]

CoRR, 2019

Differentiable Neural Architecture Search via Proximal Iterations.

[BibT_eX]

[DOI]

CoRR, 2019

SAdam: A Variant of Adam for Strongly Convex Functions.

[BibT_eX]

[DOI]

CoRR, 2019

AutoML @ NeurIPS 2018 challenge: Design and Results.

[BibT_eX]

[DOI]

CoRR, 2019

Towards Automated Deep Learning: Analysis of the AutoDL challenge series 2019.

[BibT_eX]

[DOI]

Júlio C. S. Jacques Júnior

Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019

AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning for Tail Label Data: A Label-Specific Feature Approach.

[BibT_eX]

[DOI]

Tong Wei

Wei-Wei Tu

Yu-Feng Li

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Towards Automated Semi-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Analysis of the AutoML Challenge Series 2015-2018.

[BibT_eX]

[DOI]

Alexander R. Statnikov

Wei-Wei Tu

Evelyne Viegas

Proceedings of the Automated Machine Learning - Methods, Systems, Challenges, 2019

2018

Privacy-preserving Transfer Learning for Knowledge Sharing.

[BibT_eX]

[DOI]

CoRR, 2018

Taking Human out of Learning Applications: A Survey on Automated Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Wei-Wei Tu

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