| Fixmatch: Simplifying semi-supervised learning with consistency and confidence K Sohn, D Berthelot, N Carlini, Z Zhang, H Zhang, CA Raffel, ED Cubuk, ... Advances in neural information processing systems 33, 596-608, 2020 | 3673 | 2020 |
| Mixmatch: A holistic approach to semi-supervised learning D Berthelot, N Carlini, I Goodfellow, N Papernot, A Oliver, CA Raffel Advances in neural information processing systems 32, 2019 | 3576 | 2019 |
| BEGAN: Boundary Equilibrium Generative Adversarial Networks D Berthelot arXiv preprint arXiv:1703.10717, 2017 | 1528 | 2017 |
| Remixmatch: Semi-supervised learning with distribution alignment and augmentation anchoring D Berthelot, N Carlini, ED Cubuk, A Kurakin, K Sohn, H Zhang, C Raffel arXiv preprint arXiv:1911.09785, 2019 | 1210 | 2019 |
| Technical report on the cleverhans v2. 1.0 adversarial examples library N Papernot, F Faghri, N Carlini, I Goodfellow, R Feinman, A Kurakin, ... arXiv preprint arXiv:1610.00768, 2016 | 423 | 2016 |
| High accuracy and high fidelity extraction of neural networks M Jagielski, N Carlini, D Berthelot, A Kurakin, N Papernot 29th USENIX security symposium (USENIX Security 20), 1345-1362, 2020 | 396 | 2020 |
| Understanding and improving interpolation in autoencoders via an adversarial regularizer D Berthelot, C Raffel, A Roy, I Goodfellow arXiv preprint arXiv:1807.07543, 2018 | 312 | 2018 |
| Wikireading: A novel large-scale language understanding task over wikipedia D Hewlett, A Lacoste, L Jones, I Polosukhin, A Fandrianto, J Han, ... arXiv preprint arXiv:1608.03542, 2016 | 168 | 2016 |
| Adamatch: A unified approach to semi-supervised learning and domain adaptation D Berthelot, R Roelofs, K Sohn, N Carlini, A Kurakin arXiv preprint arXiv:2106.04732, 2021 | 152 | 2021 |
| Remixmatch: Semi-supervised learning with distribution matching and augmentation anchoring A Kurakin, C Raffel, D Berthelot, ED Cubuk, H Zhang, K Sohn, N Carlini | 52 | 2020 |
| 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 | 43 | 2023 |
| High-fidelity extraction of neural network models M Jagielski, N Carlini, D Berthelot, A Kurakin, N Papernot arXiv preprint arXiv:1909.01838, 2019 | 38 | 2019 |
| Image manipulation for web content D Berthelot, M Dixon, R Madhavan, M Mapua, P Mihelich, W Min, H Savoj, ... US Patent 9,405,734, 2016 | 38 | 2016 |
| Combining mixmatch and active learning for better accuracy with fewer labels S Song, D Berthelot, A Rostamizadeh arXiv preprint arXiv:1912.00594, 2019 | 34 | 2019 |
| Assessing post-disaster damage from satellite imagery using semi-supervised learning techniques J Lee, JZ Xu, K Sohn, W Lu, D Berthelot, I Gur, P Khaitan, K Koupparis, ... arXiv preprint arXiv:2011.14004, 2020 | 30 | 2020 |
| An efficient linear time algorithm for scan chain optimization and repartitioning D Berthelot, S Chaudhuri, H Savoj Proceedings. International Test Conference, 781-787, 2002 | 27 | 2002 |
| BEGAN: boundary equilibrium generative adversarial networks (2017) D Berthelot, T Schumm, L Metz arXiv preprint arXiv:1703.10717, 2017 | 23 | 2017 |
| Creating high resolution images with a latent adversarial generator D Berthelot, P Milanfar, I Goodfellow arXiv preprint arXiv:2003.02365, 2020 | 16 | 2020 |
| Combinational techniques for sequential equivalence checking H Savoj, D Berthelot, A Mishchenko, R Brayton Formal Methods in Computer Aided Design, 145-149, 2010 | 16 | 2010 |
| BISTing datapaths under heterogeneous test schemes D Berthelot, ML Flottes, B Rouzeyre Journal of Electronic Testing 14 (1), 115-123, 1999 | 9 | 1999 |
