Xu, Kelvin

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Xu, K., Ba, J., Kiros, R., Cho, K., Courville, A., Salakhutdinov, R., Zemel, R., & Bengio, Y. (2015) · arXiv

Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection

Cited by 8,248

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

PaLM 2 Technical Report

Anil, R., Dai, A. M., Firat, O., Johnson, M., Lepikhin, D., Passos, A., Shakeri, S., Taropa, E., Bailey, P., Chen, Z., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 834

An Actor-Critic Algorithm for Sequence Prediction

Bahdanau, D., Brakel, P., Xu, K., Goyal, A., Lowe, R., Pineau, J., Courville, A., & Bengio, Y. (2016) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 423

Probabilistic Model-Agnostic Meta-Learning

Finn, C., Xu, K., & Levine, S. (2018) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 327

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Gemini Team, Georgiev, P., Lei, V. I., Burnell, R., Bai, L., Gulati, A., Tanzer, G., Vincent, D., Pan, Z., Wang, S., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 306

Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Snell, C., Lee, J., Xu, K., & Kumar, A. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 27

Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Singh, A., Co-Reyes, J. D., Agarwal, R., Anand, A., Patil, P., Garcia, X., Liu, P. J., Harrison, J., Lee, J., Xu, K., et al. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 10

Small-scale proxies for large-scale Transformer training instabilities

Wortsman, M., Liu, P. J., Xiao, L., Everett, K., Alemi, A., Adlam, B., Co-Reyes, J. D., Gur, I., Kumar, A., Novak, R., et al. (2023) · arXiv

Stochastic Gradient Optimization TechniquesTopic Modeling

Cited by 5

Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries

Vodrahalli, K., Ontanon, S., Tripuraneni, N., Xu, K., Jain, S., Shivanna, R., Hui, J., Dikkala, N., Kazemi, M., Fatemi, B., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0