Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2022

Position Prediction as an Effective Pretraining Strategy.

[BibT_eX]

[DOI]

Shuangfei Zhai

Proceedings of the International Conference on Machine Learning, 2022

Learning Representation from Neural Fisher Kernel with Low-rank Approximation.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models.

[BibT_eX]

[DOI]

CoRR, 2021

Implicit Acceleration and Feature Learning in Infinitely Wide Neural Networks with Bottlenecks.

[BibT_eX]

[DOI]

CoRR, 2021

An Attention Free Transformer.

[BibT_eX]

[DOI]

CoRR, 2021

On the generalization of learning-based 3D reconstruction.

[BibT_eX]

[DOI]

Miguel Ángel Bautista

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

MetricOpt: Learning To Optimize Black-Box Evaluation Metrics.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Set Distribution Networks: a Generative Model for Sets of Images.

[BibT_eX]

[DOI]

Shuangfei Zhai

Walter Talbott

Miguel Ángel Bautista

Carlos Guestrin

Josh M. Susskind

CoRR, 2020

Collegial Ensembles.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Ranking.

[BibT_eX]

[DOI]

CoRR, 2019

Adversarial Fisher Vectors for Unsupervised Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Efficient Network Representations Learning: An Edge-Centric Perspective.

[BibT_eX]

[DOI]

Zhongfei (Mark) Zhang

Wen Zhang

Proceedings of the Knowledge Science, Engineering and Management, 2019

Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment.

[BibT_eX]

[DOI]

Chen Huang

Shuangfei Zhai

Walter Talbott

Miguel Ángel Bautista

Shih-Yu Sun

Carlos Guestrin

Joshua M. Susskind

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Identity-based Adversarial Training of Deep CNNs for Facial Action Unit Recognition.

[BibT_eX]

[DOI]

Zheng Zhang

Shuangfei Zhai

Lijun Yin

Proceedings of the British Machine Vision Conference 2018, 2018

2017

A Deep Learning Approach for Expert Identification in Question Answering Communities.

[BibT_eX]

[DOI]

Chen Zheng

Shuangfei Zhai

Zhongfei Zhang

CoRR, 2017

Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

S3Pool: Pooling with Stochastic Spatial Sampling.

[BibT_eX]

[DOI]

Rogério Schmidt Feris

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification.

[BibT_eX]

[DOI]

Rogério Schmidt Feris

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Structural Correspondence Learning for Cross-Lingual Sentiment Classification with One-to-Many Mappings.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Design of reciprocal recommendation systems for online dating.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2016

Generative Adversarial Networks as Variational Training of Energy Based Models.

[BibT_eX]

[DOI]

Shuangfei Zhai

Yu Cheng

Rogério Schmidt Feris

Zhongfei Zhang

CoRR, 2016

Attention Based Recurrent Neural Networks for Online Advertising.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on World Wide Web, 2016

Doubly Convolutional Neural Networks.

[BibT_eX]

[DOI]

Shuangfei Zhai

Yu Cheng

Zhongfei (Mark) Zhang

Weining Lu

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks.

[BibT_eX]

[DOI]

Shuangfei Zhai

Keng-hao Chang

Ruofei Zhang

Zhongfei (Mark) Zhang

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Deep Structured Energy Based Models for Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Semisupervised Autoencoder for Sentiment Analysis.

[BibT_eX]

[DOI]

Shuangfei Zhai

Zhongfei (Mark) Zhang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Manifold Regularized Discriminative Neural Networks.

[BibT_eX]

[DOI]

Shuangfei Zhai

Zhongfei Zhang

CoRR, 2015

Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs.

[BibT_eX]

[DOI]

Shuangfei Zhai

Zhongfei (Mark) Zhang

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Shuangfei Zhai

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