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 | 3054 | 2022 |
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 | 489 | 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 | 456 | 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 | 389 | 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 | 311 | 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 | 245* | 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 | 201* | 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 | 188* | |
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 | 131 | 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 | 97* | 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 | 86* | 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 | 50 | 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 | 37 | 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 | 37 | 2018 |
Introducing chatgpt J Schulman, B Zoph, C Kim, J Hilton, J Menick, J Weng, JFC Uribe, ... OpenAI Blog, 2022 | 26 | 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 | 21 | 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 | 18 | 2022 |
Queer in AI: a case study in community-led participatory AI OO Queerinai, A Ovalle, A Subramonian, A Singh, C Voelcker, ... Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 10 | 2023 |