| Machine learning for neuroimaging with scikit-learn A Abraham, F Pedregosa, M Eickenberg, P Gervais, A Muller, J Kossaifi, ... Frontiers in Neuroinformatics 8, 1-10, 2014 | 1873 | 2014 |
| Stochastic activation pruning for robust adversarial defense GS Dhillon, K Azizzadenesheli, ZC Lipton, J Bernstein, J Kossaifi, ... International Conference on Learning Representations (ICLR), 2018 | 674 | 2018 |
| Tensorly: Tensor learning in python J Kossaifi, Y Panagakis, A Anandkumar, M Pantic Journal of Machine Learning Research (JMLR) 20, 1--6, 2019 | 404 | 2019 |
| The first facial landmark tracking in-the-wild challenge: Benchmark and results J Shen, S Zafeiriou, GG Chrysos, J Kossaifi, G Tzimiropoulos, M Pantic Proceedings of the IEEE international conference on computer vision …, 2015 | 395 | 2015 |
| SEWA DB: A rich database for audio-visual emotion and sentiment research in the wild J Kossaifi, R Walecki, Y Panagakis, J Shen, M Schmitt, F Ringeval, J Han, ... IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 43 (3 …, 2021 | 245 | 2021 |
| AFEW-VA Database for Valence and Arousal estimation In-The-Wild J Kossaifi, G Tzimiropoulos, S Todorovic, M Pantic Image and Vision Computing 65, 23-36, 2017 | 239 | 2017 |
| Robust Conditional Generative Adversarial Networks GG Chrysos, J Kossaifi, S Zafeiriou International Conference on Learning Representations (ICLR), 2019 | 207 | 2019 |
| Tensor regression networks J Kossaifi, ZC Lipton, A Kolbeinsson, A Khanna, T Furlanello, ... Journal of Machine Learning Research (JMLR) 21 (123), 1-21, 2020 | 172 | 2020 |
| Estimation of continuous valence and arousal levels from faces in naturalistic conditions A Toisoul, J Kossaifi, A Bulat, G Tzimiropoulos, M Pantic Nature Machine Intelligence, 1-9, 2021 | 144 | 2021 |
| Convolutional Tensor-Train LSTM for Spatio-Temporal Learning J Su, W Byeon, J Kossaifi, F Huang, J Kautz, A Anandkumar Advances in Neural Information Processing Systems (NeurIPS) 33, 13714--13726, 2020 | 124 | 2020 |
| Tensor methods in computer vision and deep learning Y Panagakis, J Kossaifi, GG Chrysos, J Oldfield, MA Nicolaou, ... Proceedings of the IEEE 109 (5), 863-890, 2021 | 119 | 2021 |
| Toward fast and accurate human pose estimation via soft-gated skip connections A Bulat, J Kossaifi, G Tzimiropoulos, M Pantic 15th IEEE International Conference on Automatic Face & Gesture Recognition (FG), 2020 | 117 | 2020 |
| AugMax: Adversarial Composition of Random Augmentations for Robust Training H Wang, C Xiao, J Kossaifi, Z Yu, A Anandkumar, Z Wang Advances in Neural Information Processing Systems (NeurIPS), 2021 | 104 | 2021 |
| Factorized Higher-Order CNNs with an Application to Spatio-Temporal Emotion Estimation J Kossaifi, A Toisoul, A Bulat, Y Panagakis, M Pantic IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 97 | 2020 |
| T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor J Kossaifi, A Bulat, G Tzimiropoulos, M Pantic IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 77 | 2019 |
| GAGAN: Geometry-Aware Generative Adversarial Networks J Kossaifi, L Tran, Y Panagakis, M Pantic IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 66 | 2018 |
| Tensor Contraction Layers for Parsimonious Deep Nets J Kossaifi, A Khanna, ZC Lipton, T Furlanello, A Anandkumar IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW …, 2017 | 62 | 2017 |
| Spectral learning on matrices and tensors M Janzamin, R Ge, J Kossaifi, A Anandkumar Foundations and Trends® in Machine Learning 12, 393-536, 2019 | 49 | 2019 |
| Improved training of binary networks for human pose estimation and image recognition A Bulat, G Tzimiropoulos, J Kossaifi, M Pantic arXiv preprint arXiv:1904.05868, 2019 | 47 | 2019 |
| Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning A Mahajan, M Samvelyan, L Mao, V Makoviychuk, A Garg, J Kossaifi, ... International Conference on Machine Learning (ICML) 139, 7301-7312, 2021 | 37 | 2021 |
Anima AnandkumarCalifornia Institute of Technology and NVIDIA在 caltech.edu 的电子邮件经过验证
