| Deep Structured Energy Based Models for Anomaly Detection S Zhai, Y Cheng, W Lu, Z Zhang ICML 2016, 2016 | 542 | 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 | 495 | 2016 |
| Semisupervised autoencoder for sentiment analysis Z Zhang, S Zhai US Patent 11,205,103, 2021 | 296 | 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 | 216 | 2017 |
| 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 | 198 | 2021 |
| DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks S Zhai, K Chang, R Zhang, ZM Zhang KDD 2016, 2016 | 146 | 2016 |
| 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 | 131 | 2022 |
| An Attention Free Transformer S Zhai, W Talbott, N Srivastava, C Huang, H Goh, R Zhang, J Susskind arXiv preprint arXiv:2105.14103, 2021 | 129 | 2021 |
| S3Pool: Pooling with Stochastic Spatial Sampling S Zhai, H Wu, A Kumar, Y Cheng, Y Lu, Z Zhang, R Feris CVPR 2017, 2016 | 94 | 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 | 93 | 2019 |
| Doubly Convolutional Neural Networks S Zhai, Y Cheng, W Lu, Z Zhang NIPS 2016, 2016 | 91 | 2016 |
| Semisupervised Autoencoder for Sentiment Analysis S Zhai, Z Zhang AAAI 2016, 2016 | 80 | 2016 |
| Identifying Relevant Content Items using a Deep-Structured Neural Network KH Chang, R Zhang, S Zhai US Patent App. 14/926,617, 2017 | 71 | 2017 |
| 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 | 62 | 2023 |
| 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 | 49 | 2023 |
| 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 | 47 | 2022 |
| 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 | 46 | 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 | 44 | 2024 |
| Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs S Zhai, Z Zhang SDM 2015, 2015 | 42 | 2015 |
| Identity-based Adversarial Training of Deep CNNs for Facial Action Unit Recognition Z Zhang, S Zhai, L Yin BMVC, 2018 | 41 | 2018 |
Joshua M SusskindApple AI ResearchVerified email at apple.com
