Jain, Vihan

TFX: A TensorFlow-Based Production-Scale Machine Learning Platform

Baylor, D., Breck, E., Cheng, H.-T., Fiedel, N., Foo, C. Y., Haque, Z., Haykal, S., Ispir, M., Jain, V., Koc, L., et al. (2017) · Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Software Engineering Techniques and PracticesScientific Computing and Data Management

Cited by 350

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

Gemma 2: Improving Open Language Models at a Practical Size

Gemma Team, Riviere, M., Pathak, S., Sessa, P. G., Hardin, C., Bhupatiraju, S., Hussenot, L., Mesnard, T., Shahriari, B., Ramé, A., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 149

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

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

Environment-Agnostic Multitask Learning for Natural Language Grounded Navigation

Wang, X. E., Jain, V., Ie, E., Wang, W. Y., Kozareva, Z., & Ravi, S. (2020) · Lecture Notes in Computer Science

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 54