Shuangfei Zhai

发表

Efficient Network Representations Learning: An Edge-Centric Perspective

Zhongfei Zhang, Fuxi Zhu, Shichao Liu, 2019, KSEM.

Collegial Ensembles pdf

Joshua M. Susskind, Shuangfei Zhai, Etai Littwin, 2020, NeurIPS.

Design of reciprocal recommendation systems for online dating

Yizhou Sun, Benyuan Liu, Cindy X. Chen, 2016, Social Network Analysis and Mining.

Attention Based Recurrent Neural Networks for Online Advertising

Zhongfei Zhang, Ruofei Zhang, Shuangfei Zhai, 2016, WWW.

Manifold Regularized Discriminative Neural Networks pdf

Zhongfei Zhang, Shuangfei Zhai, Zhongfei Zhang, 2015, ArXiv.

S3Pool: Pooling with Stochastic Spatial Sampling

Yu Cheng, Hui Wu, Rogério Schmidt Feris, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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

Lijun Yin, Zheng Zhang, Shuangfei Zhai, 2018, BMVC.

On the generalization of learning-based 3D reconstruction pdf

Nitish Srivastava, Shuangfei Zhai, Walter A. Talbott, 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

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

Zhongfei Zhang, Nana Li, Shuangfei Zhai, 2016, AAAI.

Deep Structured Energy Based Models for Anomaly Detection

Yu Cheng, Zhongfei Zhang, Weining Lu, 2016, ICML.

Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment

Carlos Guestrin, Shuangfei Zhai, Miguel Ángel Bautista, 2019, ICML.

Adversarial Fisher Vectors for Unsupervised Representation Learning

Carlos Guestrin, Joshua M. Susskind, Shuangfei Zhai, 2019, NeurIPS.

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

Carlos Guestrin, Shuangfei Zhai, Miguel Angel Bautista, 2020, ArXiv.

DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks

Zhongfei Zhang, Ruofei Zhang, Shuangfei Zhai, 2016, KDD.

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

Zhongfei Zhang, Shuangfei Zhai, Zhongfei Zhang, 2015, SDM.

Doubly Convolutional Neural Networks

Zhongfei Zhang, Weining Lu, Yu Cheng, 2016, NIPS.

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

Yu Cheng, Tara Javidi, Rogério Schmidt Feris, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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

Yu Cheng, Yan Liu, Zhengping Che, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Semisupervised Autoencoder for Sentiment Analysis pdf

Zhongfei Zhang, Shuangfei Zhai, Zhongfei Zhang, 2015, AAAI.

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

Zhongfei Zhang, Chen Zheng, Shuangfei Zhai, 2017, ArXiv.

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

Graham W. Taylor, Joshua M. Susskind, Shuangfei Zhai, 2019, ArXiv.

Generative Adversarial Networks as Variational Training of Energy Based Models pdf

Yu Cheng, Rogério Schmidt Feris, Zhongfei Zhang, 2016, ArXiv.

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

Nitish Srivastava, Shuangfei Zhai, Walter A. Talbott, 2021, ArXiv.

Regularized Training of Nearest Neighbor Language Models pdf

Jean-Francois Ton, Shuangfei Zhai, Walter Talbott, 2021, ArXiv.

Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning

Nitish Srivastava, Ruslan Salakhutdinov, Hanlin Goh, 2021, ICML.

An Attention Free Transformer pdf

Nitish Srivastava, Hanlin Goh, Shuangfei Zhai, 2021, ArXiv.

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

Hanlin Goh, Vimal Thilak, Joshua M. Susskind, 2021, ArXiv.

MetricOpt: Learning to Optimize Black-Box Evaluation Metrics

Shuangfei Zhai, Pengsheng Guo, Josh Susskind, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).