| Deep Structured Energy Based Models for Anomaly Detection S Zhai, Y Cheng, W Lu, Z Zhang ICML 2016, 2016 | 594 | 2016 |
| Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification Y Lu, A Kumar, S Zhai, Y Cheng, T Javidi, R Feris CVPR 2017, 2016 | 555 | 2016 |
| Semisupervised autoencoder for sentiment analysis Z Zhang, S Zhai US Patent 11,205,103, 2021 | 334 | 2021 |
| Uncertainty weighted actor-critic for offline reinforcement learning Y Wu, S Zhai, N Srivastava, J Susskind, J Zhang, R Salakhutdinov, H Goh arXiv preprint arXiv:2105.08140, 2021 | 263 | 2021 |
| Boosting deep learning risk prediction with generative adversarial networks for electronic health records Z Che, Y Cheng, S Zhai, Z Sun, Y Liu 2017 IEEE International Conference on Data Mining (ICDM), 787-792, 2017 | 261 | 2017 |
| An attention free transformer S Zhai, W Talbott, N Srivastava, C Huang, H Goh, R Zhang, J Susskind arXiv preprint arXiv:2105.14103, 2021 | 206 | 2021 |
| Gaudi: A neural architect for immersive 3d scene generation MA Bautista, P Guo, S Abnar, W Talbott, A Toshev, Z Chen, L Dinh, S Zhai, ... Advances in Neural Information Processing Systems 35, 25102-25116, 2022 | 173 | 2022 |
| DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks S Zhai, K Chang, R Zhang, ZM Zhang KDD 2016, 2016 | 142 | 2016 |
| Stabilizing transformer training by preventing attention entropy collapse S Zhai, T Likhomanenko, E Littwin, D Busbridge, J Ramapuram, Y Zhang, ... International Conference on Machine Learning, 40770-40803, 2023 | 138 | 2023 |
| Tract: Denoising diffusion models with transitive closure time-distillation D Berthelot, A Autef, J Lin, DA Yap, S Zhai, S Hu, D Zheng, W Talbott, ... arXiv preprint arXiv:2303.04248, 2023 | 133 | 2023 |
| Scalable pre-training of large autoregressive image models A El-Nouby, M Klein, S Zhai, MA Bautista, A Toshev, V Shankar, ... arXiv preprint arXiv:2401.08541, 2024 | 116 | 2024 |
| S3Pool: Pooling with Stochastic Spatial Sampling S Zhai, H Wu, A Kumar, Y Cheng, Y Lu, Z Zhang, R Feris CVPR 2017, 2016 | 116 | 2016 |
| Addressing the loss-metric mismatch with adaptive loss alignment C Huang, S Zhai, W Talbott, MB Martin, SY Sun, C Guestrin, J Susskind International conference on machine learning, 2891-2900, 2019 | 107 | 2019 |
| Doubly Convolutional Neural Networks S Zhai, Y Cheng, W Lu, Z Zhang NIPS 2016, 2016 | 96 | 2016 |
| Boot: Data-free distillation of denoising diffusion models with bootstrapping J Gu, S Zhai, Y Zhang, L Liu, JM Susskind ICML 2023 Workshop on Structured Probabilistic Inference {\&} Generative …, 2023 | 87 | 2023 |
| Semisupervised Autoencoder for Sentiment Analysis S Zhai, Z Zhang AAAI 2016, 2016 | 84 | 2016 |
| Matryoshka diffusion models J Gu, S Zhai, Y Zhang, JM Susskind, N Jaitly The Twelfth International Conference on Learning Representations, 2023 | 80 | 2023 |
| Identifying Relevant Content Items using a Deep-Structured Neural Network KH Chang, R Zhang, S Zhai US Patent App. 14/926,617, 2017 | 78 | 2017 |
| The slingshot mechanism: An empirical study of adaptive optimizers and the grokking phenomenon V Thilak, E Littwin, S Zhai, O Saremi, R Paiss, J Susskind arXiv preprint arXiv:2206.04817, 2022 | 69 | 2022 |
| Normalizing flows are capable generative models S Zhai, R Zhang, P Nakkiran, D Berthelot, J Gu, H Zheng, T Chen, ... arXiv preprint arXiv:2412.06329, 2024 | 51 | 2024 |
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