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Faculty member
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University of Waterloo, David R. Cheriton School of Computer Science
Publications
(116)
Petuum: A New Platform for Distributed Machine Learning on Big Data
IEEE Transactions on Big Data · 2013
525
cited
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
Annual Meeting of the Association for Computational Linguistics · 2020
454
cited
Semantic Pooling for Complex Event Analysis in Untrimmed Videos
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2017
326
cited
Convex Multi-view Subspace Learning
Neural Information Processing Systems · 2012
164
cited
Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance
International Conference on Automated Software Engineering · 2020
153
cited
BERxiT: Early Exiting for BERT with Better Fine-Tuning and Extension to Regression
Conference of the European Chapter of the Association for Computational Linguistics · 2021
149
cited
Sum-of-Squares Polynomial Flow
International Conference on Machine Learning · 2019
148
cited
Federated Learning Meets Multi-Objective Optimization
IEEE Transactions on Network Science and Engineering · 2020
127
cited
Semantic Concept Discovery for Large-Scale Zero-Shot Event Detection
International Joint Conference on Artificial Intelligence · 2015
117
cited
On Decomposing the Proximal Map
Neural Information Processing Systems · 2013
104
cited
Distributional Reinforcement Learning for Efficient Exploration
International Conference on Machine Learning · 2019
97
cited
Analysis of Kernel Mean Matching under Covariate Shift
International Conference on Machine Learning · 2012
96
cited
Accelerated Training for Matrix-norm Regularization: A Boosting Approach
Neural Information Processing Systems · 2012
95
cited
Better Approximation and Faster Algorithm Using the Proximal Average
Neural Information Processing Systems · 2013
88
cited
Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM
International Conference on Machine Learning · 2015
81
cited
The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing
Annual Meeting of the Association for Computational Linguistics · 2021
81
cited
Generalized Conditional Gradient for Sparse Estimation
Journal of machine learning research · 2014
80
cited
Tails of Lipschitz Triangular Flows
International Conference on Machine Learning · 2019
56
cited
Searching Persuasively: Joint Event Detection and Evidence Recounting with Limited Supervision
ACM Multimedia · 2015
54
cited
Dropout with Expectation-linear Regularization
International Conference on Learning Representations · 2016
53
cited
Show all 116 papers →
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Yaoliang Yu | Researcher Profile | Sotabase | Sotabase