Baldridge, Jason

Gemini: A Family of Highly Capable Multimodal Models

Gemini Team, Anil, R., Borgeaud, S., Alayrac, J.-B., Yu, J., Soricut, R., Schalkwyk, J., Dai, A. M., Hauth, A., Millican, K., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 990

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Yu, J., Xu, Y., Koh, J. Y., Luong, T., Baid, G., Wang, Z., Vasudevan, V., Ku, A., Yang, Y., Ayan, B. K., et al. (2022) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 371

Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding

Ku, A., Anderson, P., Patel, R., Ie, E., & Baldridge, J. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Multimodal Machine Learning ApplicationsSpatial Cognition and Navigation

Cited by 274

Mind the GAP: A balanced corpus of gendered ambiguous pronouns

Webster, K., Recasens, M., Axelrod, V., & Baldridge, J. (2018) · Transactions of the Association for Computational Linguistics

Natural Language Processing TechniquesTopic Modeling

Cited by 223

Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation

Jain, V., Magalhaes, G., Ku, A., Vaswani, A., Ie, E., & Baldridge, J. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 165

Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models

McClelland, J. L., Hill, F., Rudolph, M., Baldridge, J., & Schütze, H. (2020) · Proceedings of the National Academy of Sciences

Neurobiology of Language and BilingualismTopic Modeling

Cited by 91

Transferable Representation Learning in Vision-and-Language Navigation

Huang, H., Jain, V., Mehta, H., Ku, A., Magalhaes, G., Baldridge, J., & Ie, E. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 82

A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning

Kamath, A., Anderson, P., Wang, S., Koh, J. Y., Ku, A., Waters, A., Yang, Y., Baldridge, J., & Parekh, Z. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 39