Le, Quoc V.

A Neural Conversational Model

Vinyals, O., & Le, Q. (2015) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 1,400

Do Better ImageNet Models Transfer Better?

Kornblith, S., Shlens, J., & Le, Q. V. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 1,325

GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

Huang, Y., Cheng, Y., Bapna, A., Firat, O., Chen, M. X., Chen, D., Lee, H., Ngiam, J., Le, Q. V., Wu, Y., et al. (2018) · arXiv

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 1,180

AutoAugment: Learning Augmentation Policies from Data

Cubuk, E. D., Zoph, B., Mane, D., Vasudevan, V., & Le, Q. V. (2018) · arXiv

Machine Learning and Data ClassificationAdvanced Neural Network Applications

Cited by 1,106

Finetuned Language Models Are Zero-Shot Learners

Wei, J., Bosma, M., Zhao, V. Y., Guu, K., Yu, A. W., Lester, B., Du, N., Dai, A. M., & Le, Q. V. (2021) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 1,101

Semi-supervised Sequence Learning

Dai, A. M., & Le, Q. V. (2015) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 994

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

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Shazeer, N., Mirhoseini, A., Maziarz, K., Davis, A., Le, Q., Hinton, G., & Dean, J. (2017) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 933

CoAtNet: Marrying Convolution and Attention for All Data Sizes

Dai, Z., Liu, H., Le, Q. V., & Tan, M. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 925

Self-Consistency Improves Chain of Thought Reasoning in Language Models

Wang, X., Wei, J., Schuurmans, D., Le, Q., Chi, E., Narang, S., Chowdhery, A., & Zhou, D. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 829

LaMDA: Language Models for Dialog Applications

Thoppilan, R., De Freitas, D., Hall, J., Shazeer, N., Kulshreshtha, A., Cheng, H.-T., Jin, A., Bos, T., Baker, L., Du, Y., et al. (2022) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 778

A graph placement methodology for fast chip design

Mirhoseini, A., Goldie, A., Yazgan, M., Jiang, J. W., Songhori, E., Wang, S., Lee, Y.-J., Johnson, E., Pathak, O., Nova, A., et al. (2021) · Nature

VLSI and FPGA Design TechniquesEmbedded Systems Design Techniques

Cited by 618

Towards a Human-like Open-Domain Chatbot

Adiwardana, D., Luong, M.-T., So, D. R., Hall, J., Fiedel, N., Thoppilan, R., Yang, Z., Kulshreshtha, A., Nemade, G., Lu, Y., et al. (2020) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 614

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection

Li, Y., Yu, A. W., Meng, T., Caine, B., Ngiam, J., Peng, D., Shen, J., Lu, Y., Zhou, D., Le, Q. V., et al. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications

Cited by 563

Massive Exploration of Neural Machine Translation Architectures

Britz, D., Goldie, A., Luong, M.-T., & Le, Q. (2017) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 487

Carbon Emissions and Large Neural Network Training

Patterson, D., Gonzalez, J., Le, Q., Liang, C., Munguia, L.-M., Rothchild, D., So, D., Texier, M., & Dean, J. (2021) · arXiv

Green IT and SustainabilityEnergy Efficiency in Computing

Cited by 486

The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

Patterson, D., Gonzalez, J., Holzle, U., Le, Q., Liang, C., Munguia, L.-M., Rothchild, D., So, D. R., Texier, M., & Dean, J. (2022) · Computer

Green IT and SustainabilityEnergy Efficiency in Computing

Cited by 400

Program Synthesis with Large Language Models

Austin, J., Odena, A., Nye, M., Bosma, M., Michalewski, H., Dohan, D., Jiang, E., Cai, C., Terry, M., Le, Q., et al. (2021) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 388

Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Zhou, D., Schärli, N., Hou, L., Wei, J., Scales, N., Wang, X., Schuurmans, D., Cui, C., Bousquet, O., Le, Q., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 380

Regularized Evolution for Image Classifier Architecture Search

Real, E., Aggarwal, A., Huang, Y., & Le, Q. V. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Evolutionary Algorithms and ApplicationsAdvanced Neural Network Applications

Cited by 328

Neural Optimizer Search with Reinforcement Learning

Bello, I., Zoph, B., Vasudevan, V., & Le, Q. V. (2017) · arXiv

Stochastic Gradient Optimization TechniquesMachine Learning and Data Classification

Cited by 319

Solving olympiad geometry without human demonstrations

Trinh, T. H., Wu, Y., Le, Q. V., He, H., & Luong, T. (2024) · Nature

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 311

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

Symbolic Discovery of Optimization Algorithms

Chen, X., Liang, C., Huang, D., Real, E., Wang, K., Liu, Y., Pham, H., Dong, X., Luong, T., Hsieh, C.-J., et al. (2023) · arXiv

Evolutionary Algorithms and ApplicationsPolynomial and algebraic computation

Cited by 303