Fei Sha
Affiliations:- University of Southern California, Los Angeles, USA
According to our database1,
Fei Sha
authored at least 175 papers
between 1992 and 2024.
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Bibliography
2024
Rational-WENO: A lightweight, physically-consistent three-point weighted essentially non-oscillatory scheme.
CoRR, 2024
A probabilistic framework for learning non-intrusive corrections to long-time climate simulations from short-time training data.
CoRR, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023
CoRR, 2023
WeatherBench 2: A benchmark for the next generation of data-driven global weather models.
CoRR, 2023
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations.
CoRR, 2023
CoRR, 2023
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute.
Proceedings of the International Conference on Machine Learning, 2023
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems.
Proceedings of the International Conference on Machine Learning, 2023
Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Stat. Anal. Data Min., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the IEEE International Symposium on Information Theory, 2022
Mention Memory: incorporating textual knowledge into Transformers through entity mention attention.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Generate-and-Retrieve: Use Your Predictions to Improve Retrieval for Semantic Parsing.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
CoRR, 2021
Learning to Generalize Compositionally by Transferring Across Semantic Parsing Tasks.
CoRR, 2021
HyperPINN: Learning parameterized differential equations with physics-informed hypernetworks.
CoRR, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
CoMSum and SIBERT: A Dataset and Neural Model for Query-Based Multi-document Summarization.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
CoRR, 2020
AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization.
CoRR, 2020
Uncertainty Estimation with Infinitesimal Jackknife, Its Distribution and Mean-Field Approximation.
CoRR, 2020
CoRR, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
CoRR, 2019
Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning.
CoRR, 2019
CoRR, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019
2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
Geodesic Flow Kernel and Landmarks: Kernel Methods for Unsupervised Domain Adaptation.
Proceedings of the Domain Adaptation in Computer Vision Applications., 2017
Aligning Where to See and What to Tell: Image Captioning with Region-Based Attention and Scene-Specific Contexts.
IEEE Trans. Pattern Anal. Mach. Intell., 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Active multi-view object recognition: A unifying view on online feature selection and view planning.
Robotics Auton. Syst., 2016
Understanding Image and Text Simultaneously: a Dual Vision-Language Machine Comprehension Task.
CoRR, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
A comparison between deep neural nets and kernel acoustic models for speech recognition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the Computer Vision - ECCV 2016, 2016
An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild.
Proceedings of the Computer Vision - ECCV 2016, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
Proceedings of the 15th IEEE/ACIS International Conference on Computer and Information Science, 2016
2015
Aligning where to see and what to tell: image caption with region-based attention and scene factorization.
CoRR, 2015
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the Robotics Research, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Designing a socially assistive robot for personalized number concepts learning in preschool children.
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
2014
Learning Kernels for Unsupervised Domain Adaptation with Applications to Visual Object Recognition.
Int. J. Comput. Vis., 2014
Distributed Frank-Wolfe Algorithm: A Unified Framework for Communication-Efficient Sparse Learning.
CoRR, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Discriminative non-negative matrix factorization for single-channel speech separation.
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation.
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
2012
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012
Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation.
Proceedings of the 29th International Conference on Machine Learning, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
Predicting Pedestrian Counts in Crowded Scenes With Rich and High-Dimensional Features.
IEEE Trans. Intell. Transp. Syst., 2011
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Online learning of large margin hidden Markov models for automatic speech recognition.
Proceedings of the 2011 Symposium on Machine Learning in Speech and Language Processing, 2011
Proceedings of the MASCOTS 2011, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Speech recognitionwith segmental conditional random fields: A summary of the JHU CLSP 2010 Summer Workshop.
Proceedings of the IEEE International Conference on Acoustics, 2011
Application of moment invariants in checking the overall dimension of the head cover.
Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011
2010
Convex Optimizations for Distance Metric Learning and Pattern Classification [Applications Corner].
IEEE Signal Process. Mag., 2010
Online Learning and Acoustic Feature Adaptation in Large-Margin Hidden Markov Models.
IEEE J. Sel. Top. Signal Process., 2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Bioinform., 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the Manifold Learning and Its Applications, 2010
2009
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009
A fast online algorithm for large margin training of continuous density hidden Markov models.
Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009
2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
2007
Multiplicative Updates for <i>L</i><sub>1</sub>-Regularized Linear and Logistic Regression.
Proceedings of the Advances in Intelligent Data Analysis VII, 2007
Proceedings of the Machine Learning, 2007
Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007
Comparison of Large Margin Training to Other Discriminative Methods for Phonetic Recognition by Hidden Markov Models.
Proceedings of the IEEE International Conference on Acoustics, 2007
2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the Semi-Supervised Learning, 2006
2005
Proceedings of the Machine Learning, 2005
2004
Real-Time Pitch Determination of One or More Voices by Nonnegative Matrix Factorization.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Proceedings of the Machine Learning, 2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
2003
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2003
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003
Proceedings of the Computational Learning Theory and Kernel Machines, 2003
2002
Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
2000
Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000
1999
Proceedings of the VLDB'99, 1999
Proceedings of the Conceptual Modeling, 1999
Managing Semistructured Data in Object-Relational DBMS.
Proceedings of the 15èmes Journées Bases de Données Avancées, 1999
1997
Using Conceptual Modeling and Intelligent Agents to Integrate Semi-structured Documents in Federated Databases.
Proceedings of the Conceptual Modeling, 1997
1996
Calibrating the Query Optimizer Cost Model of IRO-DB, an Object-Oriented Federated Database System.
Proceedings of the VLDB'96, 1996
1992
Comput. Networks ISDN Syst., 1992