| Make-A-Video: Text-to-video generation without text-video data U Singer, A Polyak, T Hayes, X Yin, J An, S Zhang, Q Hu, H Yang, ... arXiv preprint arXiv:2209.14792, 2022 | 1082 | 2022 |
| AudioGen: Textually guided audio generation F Kreuk, G Synnaeve, A Polyak, U Singer, A Défossez, J Copet, D Parikh, ... arXiv preprint arXiv:2209.15352, 2022 | 304 | 2022 |
| Pick-a-Pic: An open dataset of user preferences for text-to-image generation Y Kirstain, A Polyak, U Singer, S Matiana, J Penna, O Levy Advances in Neural Information Processing Systems 36, 36652-36663, 2023 | 214 | 2023 |
| Node Embedding over Temporal Graphs U Singer, I Guy, K Radinsky International Joint Conferences on Artificial Intelligence (IJCAI-19), 4605 …, 2019 | 183 | 2019 |
| Text-To-4D dynamic scene generation U Singer, S Sheynin, A Polyak, O Ashual, I Makarov, F Kokkinos, N Goyal, ... arXiv preprint arXiv:2301.11280, 2023 | 117 | 2023 |
| KNN-Diffusion: Image generation via large-scale retrieval S Sheynin, O Ashual, A Polyak, U Singer, O Gafni, E Nachmani, ... arXiv preprint arXiv:2204.02849, 2022 | 115 | 2022 |
| Scaling autoregressive multi-modal models: Pretraining and instruction tuning L Yu, B Shi, R Pasunuru, B Muller, O Golovneva, T Wang, A Babu, B Tang, ... arXiv preprint arXiv:2309.02591 2 (3), 2023 | 110 | 2023 |
| Emu Edit: Precise image editing via recognition and generation tasks S Sheynin, A Polyak, U Singer, Y Kirstain, A Zohar, O Ashual, D Parikh, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 67 | 2024 |
| Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce U Singer, H Roitman, Y Eshel, A Nus, I Guy, O Levi, I Hasson, ... Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 29 | 2022 |
| D-Flow: Differentiating through Flows for Controlled Generation H Ben-Hamu, O Puny, I Gat, B Karrer, U Singer, Y Lipman arXiv preprint arXiv:2402.14017, 2024 | 11 | 2024 |
| On biases of attention in scientific discovery U Singer, K Radinsky, E Horvitz Bioinformatics, 2020 | 10 | 2020 |
| Graph neural networks pretraining through inherent supervision for molecular property prediction R Benjamin, U Singer, K Radinsky Proceedings of the 31st ACM International Conference on Information …, 2022 | 8 | 2022 |
| EqGNN: Equalized node opportunity in graphs U Singer, K Radinsky Proceedings of the AAAI conference on artificial intelligence 36 (8), 8333-8341, 2022 | 6 | 2022 |
| GraphERT--Transformers-based Temporal Dynamic Graph Embedding M Beladev, G Katz, L Rokach, U Singer, K Radinsky Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 5 | 2023 |
| Leveraging world events to predict e-commerce consumer demand under anomaly D Kalifa, U Singer, I Guy, GD Rosin, K Radinsky Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 4 | 2022 |
| Video editing via factorized diffusion distillation U Singer, A Zohar, Y Kirstain, S Sheynin, A Polyak, D Parikh, Y Taigman European Conference on Computer Vision, 450-466, 2025 | 3 | 2025 |
| Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models N Shaul, U Singer, RTQ Chen, M Le, A Thabet, A Pumarola, Y Lipman arXiv preprint arXiv:2403.01329, 2024 | 2 | 2024 |
| Learning to Diversify for Product Question Generation H Roitman, U Singer, Y Eshel, A Nus, E Kiperwasser arXiv preprint arXiv:2207.02534, 2022 | 2 | 2022 |
| Leveraging Temporal Trends for Training Contextual Word Embeddings to Address Bias in Biomedical Applications: Development Study S Agmon, U Singer, K Radinsky JMIR AI 3 (1), e49546, 2024 | | 2024 |
| GOProteinGNN: Leveraging Protein Knowledge Graphs for Protein Representation Learning D Kalifa, U Singer, K Radinsky arXiv preprint arXiv:2408.00057, 2024 | | 2024 |
Adam PolyakFacebook AI ResearchVerified email at fb.com
