Shuangfei Zhai

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 68

Top Topics

Diffusion Models

Top Venues

Publications

Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Joshua M. Susskind, Navdeep Jaitly
Matryoshka Diffusion Models. ICLR (2024)
Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Josh M. Susskind, Navdeep Jaitly, Shuangfei Zhai
Improving GFlowNets for Text-to-Image Diffusion Alignment. CoRR (2024)
Tianrong Chen, Jiatao Gu, Laurent Dinh, Evangelos A. Theodorou, Joshua M. Susskind, Shuangfei Zhai
Generative Modeling with Phase Stochastic Bridge. ICLR (2024)
Ying Shen, Yizhe Zhang, Shuangfei Zhai, Lifu Huang, Joshua M. Susskind, Jiatao Gu
Many-to-many Image Generation with Auto-regressive Diffusion Models. CoRR (2024)
Jiatao Gu, Qingzhe Gao, Shuangfei Zhai, Baoquan Chen, Lingjie Liu, Josh M. Susskind
Control3Diff: Learning Controllable 3D Diffusion Models from Single-view Images. 3DV (2024)
Yizhe Zhang, He Bai, Ruixiang Zhang, Jiatao Gu, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly
How Far Are We from Intelligent Visual Deductive Reasoning? CoRR (2024)
Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel Ángel Bautista, Alexander Toshev, Vaishaal Shankar, Joshua M. Susskind, Armand Joulin
Scalable Pre-training of Large Autoregressive Image Models. CoRR (2024)
Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Joshua M. Susskind
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling. CoRR (2024)
Vimal Thilak, Etai Littwin, Shuangfei Zhai, Omid Saremi, Roni Paiss, Joshua M. Susskind
The Slingshot Effect: A Late-Stage Optimization Anomaly in Adaptive Gradient Methods. Trans. Mach. Learn. Res. 2024 (2024)
Ziwen Chen, Kaushik Patnaik, Shuangfei Zhai, Alvin Wan, Zhile Ren, Alexander G. Schwing, Alex Colburn, Fuxin Li
AutoFocusFormer: Image Segmentation off the Grid. CoRR (2023)
Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Joshua M. Susskind, Navdeep Jaitly
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model. NeurIPS (2023)
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Josh M. Susskind, Navdeep Jaitly
Matryoshka Diffusion Models. CoRR (2023)
David Berthelot, Arnaud Autef, Jierui Lin, Dian Ang Yap, Shuangfei Zhai, Siyuan Hu, Daniel Zheng, Walter Talbott, Eric Gu
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation. CoRR (2023)
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Josh M. Susskind
BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping. CoRR (2023)
Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind
Stabilizing Transformer Training by Preventing Attention Entropy Collapse. CoRR (2023)
Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model. CoRR (2023)
Tianrong Chen, Jiatao Gu, Laurent Dinh, Evangelos A. Theodorou, Josh M. Susskind, Shuangfei Zhai
Generative Modeling with Phase Stochastic Bridges. CoRR (2023)
Jiatao Gu, Qingzhe Gao, Shuangfei Zhai, Baoquan Chen, Lingjie Liu, Josh M. Susskind
Learning Controllable 3D Diffusion Models from Single-view Images. CoRR (2023)
Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind
Stabilizing Transformer Training by Preventing Attention Entropy Collapse. ICML (2023)
Ziwen Chen, Kaushik Patnaik, Shuangfei Zhai, Alvin Wan, Zhile Ren, Alexander G. Schwing, Alex Colburn, Fuxin Li
AutoFocusFormer: Image Segmentation off the Grid. CVPR (2023)
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Ángel Bautista, Joshua M. Susskind
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation. ICLR (2023)
Miguel Ángel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Josh M. Susskind
GAUDI: A Neural Architect for Immersive 3D Scene Generation. CoRR (2022)
Miguel Ángel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Joshua M. Susskind
GAUDI: A Neural Architect for Immersive 3D Scene Generation. NeurIPS (2022)
Vimal Thilak, Etai Littwin, Shuangfei Zhai, Omid Saremi, Roni Paiss, Joshua M. Susskind
The Slingshot Mechanism: An Empirical Study of Adaptive Optimizers and the Grokking Phenomenon. CoRR (2022)
Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Josh M. Susskind
Learning Representation from Neural Fisher Kernel with Low-rank Approximation. CoRR (2022)
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Ángel Bautista, Josh M. Susskind
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation. CoRR (2022)
Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y. Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind
Position Prediction as an Effective Pretraining Strategy. ICML (2022)
Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Joshua M. Susskind
Learning Representation from Neural Fisher Kernel with Low-rank Approximation. ICLR (2022)
Jean-Francois Ton, Walter Talbott, Shuangfei Zhai, Joshua M. Susskind
Regularized Training of Nearest Neighbor Language Models. NAACL-HLT (Student Research Workshop) (2022)
Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Yitan Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind
Position Prediction as an Effective Pretraining Strategy. CoRR (2022)
Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind
On the generalization of learning-based 3D reconstruction. WACV (2021)
Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh M. Susskind
An Attention Free Transformer. CoRR (2021)
Chen Huang, Shuangfei Zhai, Pengsheng Guo, Josh M. Susskind
MetricOpt: Learning to Optimize Black-Box Evaluation Metrics. CoRR (2021)
Etai Littwin, Omid Saremi, Shuangfei Zhai, Vimal Thilak, Hanlin Goh, Joshua M. Susskind, Greg Yang
Implicit Acceleration and Feature Learning in Infinitely Wide Neural Networks with Bottlenecks. CoRR (2021)
Chen Huang, Shuangfei Zhai, Pengsheng Guo, Josh M. Susskind
MetricOpt: Learning To Optimize Black-Box Evaluation Metrics. CVPR (2021)
Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning. CoRR (2021)
Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning. ICML (2021)
Nitish Srivastava, Walter Talbott, Martin Bertran Lopez, Shuangfei Zhai, Josh M. Susskind
Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models. CoRR (2021)
Jean-Francois Ton, Walter Talbott, Shuangfei Zhai, Josh M. Susskind
Regularized Training of Nearest Neighbor Language Models. CoRR (2021)
Etai Littwin, Ben Myara, Sima Sabah, Joshua M. Susskind, Shuangfei Zhai, Oren Golan
Collegial Ensembles. NeurIPS (2020)
Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Carlos Guestrin, Josh M. Susskind
Set Distribution Networks: a Generative Model for Sets of Images. CoRR (2020)
Etai Littwin, Ben Myara, Sima Sabah, Joshua M. Susskind, Shuangfei Zhai, Oren Golan
Collegial Ensembles. CoRR (2020)
Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind
On the generalization of learning-based 3D reconstruction. CoRR (2020)
Shichao Liu, Shuangfei Zhai, Lida Zhu, Fuxi Zhu, Zhongfei (Mark) Zhang, Wen Zhang
Efficient Network Representations Learning: An Edge-Centric Perspective. KSEM (2) (2019)
Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua M. Susskind
Adversarial Fisher Vectors for Unsupervised Representation Learning. NeurIPS (2019)
Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment. ICML (2019)
Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment. CoRR (2019)
Alaaeldin El-Nouby, Shuangfei Zhai, Graham W. Taylor, Joshua M. Susskind
Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Ranking. CoRR (2019)
Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua M. Susskind
Adversarial Fisher Vectors for Unsupervised Representation Learning. CoRR (2019)
Zheng Zhang, Shuangfei Zhai, Lijun Yin
Identity-based Adversarial Training of Deep CNNs for Facial Action Unit Recognition. BMVC (2018)
Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogério Schmidt Feris
S3Pool: Pooling with Stochastic Spatial Sampling. CVPR (2017)
Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogério Schmidt Feris
Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification. CVPR (2017)
Chen Zheng, Shuangfei Zhai, Zhongfei Zhang
A Deep Learning Approach for Expert Identification in Question Answering Communities. CoRR (2017)
Zhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records. ICDM (2017)
Nana Li, Shuangfei Zhai, Zhongfei Zhang, Boying Liu
Structural Correspondence Learning for Cross-Lingual Sentiment Classification with One-to-Many Mappings. AAAI (2017)
Zhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records. CoRR (2017)
Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang, Zhongfei (Mark) Zhang
DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks. KDD (2016)
Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang
Deep Structured Energy Based Models for Anomaly Detection. CoRR (2016)
Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogério Schmidt Feris
S3Pool: Pooling with Stochastic Spatial Sampling. CoRR (2016)
Shuangfei Zhai, Zhongfei (Mark) Zhang
Semisupervised Autoencoder for Sentiment Analysis. AAAI (2016)
Peng Xia, Shuangfei Zhai, Benyuan Liu, Yizhou Sun, Cindy X. Chen
Design of reciprocal recommendation systems for online dating. Soc. Netw. Anal. Min. 6 (1) (2016)
Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogério Schmidt Feris
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification. CoRR (2016)
Shuangfei Zhai, Yu Cheng, Rogério Schmidt Feris, Zhongfei Zhang
Generative Adversarial Networks as Variational Training of Energy Based Models. CoRR (2016)
Nana Li, Shuangfei Zhai, Zhongfei Zhang, Boying Liu
Structural Correspondence Learning for Cross-lingual Sentiment Classification with One-to-many Mappings. CoRR (2016)
Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang
Deep Structured Energy Based Models for Anomaly Detection. ICML (2016)
Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang
Doubly Convolutional Neural Networks. CoRR (2016)
Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang, Zhongfei Zhang
Attention Based Recurrent Neural Networks for Online Advertising. WWW (Companion Volume) (2016)
Shuangfei Zhai, Yu Cheng, Zhongfei (Mark) Zhang, Weining Lu
Doubly Convolutional Neural Networks. NIPS (2016)
Shuangfei Zhai, Zhongfei Zhang
Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs. CoRR (2015)
Shuangfei Zhai, Zhongfei Zhang
Semisupervised Autoencoder for Sentiment Analysis. CoRR (2015)
Shuangfei Zhai, Zhongfei Zhang
Manifold Regularized Discriminative Neural Networks. CoRR (2015)
Shuangfei Zhai, Zhongfei (Mark) Zhang
Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs. SDM (2015)