| Photorealistic text-to-image diffusion models with deep language understanding C Saharia, W Chan, S Saxena, L Li, J Whang, EL Denton, K Ghasemipour, ... Advances in neural information processing systems 35, 36479-36494, 2022 | 3202 | 2022 |
| Gpt-4 technical report J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... arXiv preprint arXiv:2303.08774, 2023 | 1251* | 2023 |
| Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time M Wortsman, G Ilharco, SY Gadre, R Roelofs, R Gontijo-Lopes, ... International conference on machine learning, 23965-23998, 2022 | 504 | 2022 |
| A fourier perspective on model robustness in computer vision D Yin, R Gontijo-Lopes, J Shlens, ED Cubuk, J Gilmer Advances in Neural Information Processing Systems, 13276-13286, 2019 | 461 | 2019 |
| Robust fine-tuning of zero-shot models M Wortsman, G Ilharco, JW Kim, M Li, S Kornblith, R Roelofs, RG Lopes, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 407 | 2022 |
| Chatgpt: Optimizing language models for dialogue J Schulman, B Zoph, C Kim, J Hilton, J Menick, J Weng, JFC Uribe, ... OpenAI blog 2, 4, 2022 | 319 | 2022 |
| Data-free knowledge distillation for deep neural networks R Gontijo-Lopes, S Fenu, T Starner Workshop on Learning with Limited Labeled Data: Weak Supervision and Beyond …, 2017 | 249* | 2017 |
| Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation R Gontijo-Lopes, D Yin, B Poole, J Gilmer, ED Cubuk Workshop on Uncertainty & Robustness in Deep Learning at ICML, 2019 | 205* | 2019 |
| Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation LC Chen, R Gontijo-Lopes, B Cheng, MD Collins, ED Cubuk, B Zoph, ... Proceedings of the European Conference on Computer Vision, 0 | 191* | |
| End-to-end audio visual scene-aware dialog using multimodal attention-based video features C Hori, H Alamri, J Wang, G Wichern, T Hori, A Cherian, TK Marks, ... ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 134 | 2019 |
| A Learned Representation for Scalable Vector Graphics R Gontijo-Lopes, D Ha, D Eck, J Shlens Proceedings of the IEEE International Conference on Computer Vision, 2019 | 98* | 2019 |
| Tradeoffs in data augmentation: An empirical study ED Cubuk, ES Dyer, RG Lopes, S Smullin Proceedings of the International Conference on Learning Representations, 2021 | 90* | 2021 |
| Language model cascades D Dohan, W Xu, A Lewkowycz, J Austin, D Bieber, RG Lopes, Y Wu, ... arXiv preprint arXiv:2207.10342, 2022 | 62 | 2022 |
| No one representation to rule them all: Overlapping features of training methods R Gontijo-Lopes, Y Dauphin, ED Cubuk arXiv preprint arXiv:2110.12899, 2021 | 52 | 2021 |
| When does dough become a bagel? analyzing the remaining mistakes on imagenet V Vasudevan, B Caine, R Gontijo Lopes, S Fridovich-Keil, R Roelofs Advances in Neural Information Processing Systems 35, 6720-6734, 2022 | 40 | 2022 |
| Audio visual scene-aware dialog (avsd) challenge at dstc7 H Alamri, V Cartillier, R Gontijo-Lopes, A Das, J Wang, I Essa, D Batra, ... Workshop on Dialog System Technology Challenges at COLIPS 2019, 2018 | 38 | 2018 |
| Introducing chatgpt J Schulman, B Zoph, C Kim, J Hilton, J Menick, J Weng, JFC Uribe, ... OpenAI Blog, 2022 | 28 | 2022 |
| Photorealistic text-to-image diffusion models with deep language understanding. arXiv 2022 C Saharia, W Chan, S Saxena, L Li, J Whang, E Denton, ... arXiv preprint arXiv:2205.11487, 2022 | 23 | 2022 |
| Tradeoffs in data augmentation: An empirical study R Gontijo-Lopes, S Smullin, ED Cubuk, E Dyer International Conference on Learning Representations, 2020 | 21 | 2020 |
| Spectral bias in practice: The role of function frequency in generalization S Fridovich-Keil, R Gontijo Lopes, R Roelofs Advances in Neural Information Processing Systems 35, 7368-7382, 2022 | 17 | 2022 |
