| 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 | 980 | 2022 |
| Openflamingo: An open-source framework for training large autoregressive vision-language models A Awadalla, I Gao, J Gardner, J Hessel, Y Hanafy, W Zhu, K Marathe, ... arXiv preprint arXiv:2308.01390, 2023 | 536 | 2023 |
| Datacomp: In search of the next generation of multimodal datasets SY Gadre, G Ilharco, A Fang, J Hayase, G Smyrnis, T Nguyen, R Marten, ... Advances in Neural Information Processing Systems 36, 27092-27112, 2023 | 376 | 2023 |
| Objaverse-xl: A universe of 10m+ 3d objects M Deitke, R Liu, M Wallingford, H Ngo, O Michel, A Kusupati, A Fan, ... Advances in Neural Information Processing Systems 36, 35799-35813, 2023 | 309 | 2023 |
| CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation SY Gadre, M Wortsman, G Ilharco, L Schmidt, S Song arXiv preprint arXiv:2203.10421, 2022 | 212* | 2022 |
| Multimodal c4: An open, billion-scale corpus of images interleaved with text W Zhu, J Hessel, A Awadalla, SY Gadre, J Dodge, A Fang, Y Yu, ... Advances in Neural Information Processing Systems 36, 8958-8974, 2023 | 164 | 2023 |
| Patching open-vocabulary models by interpolating weights G Ilharco, M Wortsman, SY Gadre, S Song, H Hajishirzi, S Kornblith, ... Advances in Neural Information Processing Systems 35, 29262-29277, 2022 | 162 | 2022 |
| End-user robot programming using mixed reality SY Gadre, E Rosen, G Chien, E Phillips, S Tellex, G Konidaris 2019 International conference on robotics and automation (ICRA), 2707-2713, 2019 | 95 | 2019 |
| Datacomp-lm: In search of the next generation of training sets for language models J Li, A Fang, G Smyrnis, M Ivgi, M Jordan, S Gadre, H Bansal, E Guha, ... arXiv preprint arXiv:2406.11794, 2024 | 88* | 2024 |
| Improving multimodal datasets with image captioning T Nguyen, SY Gadre, G Ilharco, S Oh, L Schmidt Advances in Neural Information Processing Systems 36, 22047-22069, 2023 | 66 | 2023 |
| Continuous scene representations for embodied ai SY Gadre, K Ehsani, S Song, R Mottaghi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 54 | 2022 |
| Act the part: Learning interaction strategies for articulated object part discovery SY Gadre, K Ehsani, S Song Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 46 | 2021 |
| Language models scale reliably with over-training and on downstream tasks SY Gadre, G Smyrnis, V Shankar, S Gururangan, M Wortsman, R Shao, ... arXiv preprint arXiv:2403.08540, 2024 | 23 | 2024 |
| Structure from action: Learning interactions for 3d articulated object structure discovery N Nie, SY Gadre, K Ehsani, S Song 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 22* | 2023 |
| OpenLM: a minimal but performative language modeling (lm) repository, 2023 S Gururangan, M Wortsman, SY Gadre, A Dave, M Kilian, W Shi, J Mercat, ... URL https://github. com/mlfoundations/open_lm/. GitHub repository, 2023 | 11* | 2023 |
| Should VLMs be Pre-trained with Image Data? S Keh, J Mercat, SY Gadre, K Arora, I Vasiljevic, B Burchfiel, S Song, ... The Thirteenth International Conference on Learning Representations, 0 | | |
Ludwig SchmidtStanford University and AnthropicПідтверджена електронна адреса в stanford.edu
