Juan, Da-Cheng
Google (United States)
7 papers on CoChat
Most cited papers
- Verified
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
- Verified
Low-Dimensional Hyperbolic Knowledge Graph Embeddings
Chami, I., Wolf, A., Juan, D.-C., Sala, F., Ravi, S., & Ré, C. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Advanced Graph Neural NetworksTopic Modeling
Cited by 384
- Verified
Synthesizer: Rethinking Self-Attention in Transformer Models
Tay, Y., Bahri, D., Metzler, D., Juan, D.-C., Zhao, Z., & Zheng, C. (2020) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 251
- Verified
RARR: Researching and revising what language models say, using language models
Gao, L., Dai, Z., Pasupat, P., Chen, A., Chaganty, A. T., Fan, Y., Zhao, V., Lao, N., Lee, H., Juan, D.-C., et al. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 141
- Verified
On the Robustness of Self-Attentive Models
Hsieh, Y.-L., Cheng, M., Juan, D.-C., Wei, W., Hsu, W.-L., & Hsieh, C.-J. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Adversarial Robustness in Machine LearningTopic Modeling
Cited by 96
- Verified
HyperPower: Power- and memory-constrained hyper-parameter optimization for neural networks
Stamoulis, D., Cai, E., Juan, D.-C., & Marculescu, D. (2018) · 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Machine Learning and Data ClassificationParallel Computing and Optimization Techniques
Cited by 67
- Verified
WikiSkill: Compiling Agent Experience into Persistent Knowledge for Skill Evolution
Tang, L., Rashtchian, C., Ferng, C.-S., Tomkins, A., Juan, D.-C., & Vu, T. (2026) · arXiv
AI-based Problem Solving and PlanningReinforcement Learning in Robotics
Cited by 1
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