Vinyals, Oriol
Dima
52 papers on CoChatORCID 0000-0001-7848-7283
Most cited papers
- Verified
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 43,764
- Verified
Sequence to Sequence Learning with Neural Networks
Sutskever, I., Vinyals, O., & Le, Q. V. (2014) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 17,766
- Verified
Distilling the Knowledge in a Neural Network
Hinton, G., Vinyals, O., & Dean, J. (2015) · arXiv
Advanced Neural Network ApplicationsMachine Learning and Data Classification
Cited by 14,204
- Verified
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G. S., Davis, A., Dean, J., Devin, M., et al. (2016) · arXiv
Parallel Computing and Optimization TechniquesCloud Computing and Resource Management
Cited by 9,408
- Verified
Show and tell: A neural image caption generator
Vinyals, O., Toshev, A., Bengio, S., & Erhan, D. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques
Cited by 6,318
- Verified
Representation Learning with Contrastive Predictive Coding
Oord, A. V. D., Li, Y., & Vinyals, O. (2018) · arXiv
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 6,242
- Verified
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Wu, Y., Schuster, M., Chen, Z., Le, Q. V., Norouzi, M., Macherey, W., Krikun, M., Cao, Y., Gao, Q., Macherey, K., et al. (2016) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 5,319
- Verified
WaveNet: a generative model for raw audio
Oord, A. V. D., Dieleman, S., Zen, H., Simonyan, K., Vinyals, O., Graves, A., Kalchbrenner, N., Senior, A., & Kavukcuoglu, K. (2016) · arXiv
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 4,911
- Verified
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Donahue, J., Jia, Y., Vinyals, O., Hoffman, J., Zhang, N., Tzeng, E., & Darrell, T. (2013) · arXiv
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 4,019
- Verified
Grandmaster level in StarCraft II using multi-agent reinforcement learning
Vinyals, O., Babuschkin, I., Czarnecki, W. M., Mathieu, M., Dudzik, A., Chung, J., Choi, D. H., Powell, R., Ewalds, T., Georgiev, P., et al. (2019) · Nature
Artificial Intelligence in GamesReinforcement Learning in Robotics
Cited by 3,455
- Verified
Understanding deep learning requires rethinking generalization
Zhang, C., Bengio, S., Hardt, M., Recht, B., & Vinyals, O. (2016) · arXiv
Stochastic Gradient Optimization TechniquesNeural Networks and Applications
Cited by 2,838
- Verified
Neural Discrete Representation Learning
Oord, A. V. D., Vinyals, O., & Kavukcuoglu, K. (2017) · arXiv
Generative Adversarial Networks and Image SynthesisSpeech Recognition and Synthesis
Cited by 2,729
- Verified
Understanding deep learning (still) requires rethinking generalization
Zhang, C., Bengio, S., Hardt, M., Recht, B., & Vinyals, O. (2021) · Communications of the ACM
Stochastic Gradient Optimization TechniquesNeural Networks and Applications
Cited by 2,400
- Verified
Listen, attend and spell: A neural network for large vocabulary conversational speech recognition
Chan, W., Jaitly, N., Le, Q., & Vinyals, O. (2016) · 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 2,226
- Verified
Generating Sentences from a Continuous Space
Bowman, S. R., Vilnis, L., Vinyals, O., Dai, A., Jozefowicz, R., & Bengio, S. (2016) · Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning
Topic ModelingSpeech Recognition and Synthesis
Cited by 2,061
- Verified
Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks
Sainath, T. N., Vinyals, O., Senior, A., & Sak, H. (2015) · 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 1,678
- Verified
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
Bengio, S., Vinyals, O., Jaitly, N., & Shazeer, N. (2015) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 1,621
- Verified
Flamingo: a Visual Language Model for Few-Shot Learning
Alayrac, J.-B., Donahue, J., Luc, P., Miech, A., Barr, I., Hasson, Y., Lenc, K., Mensch, A., Millican, K., Reynolds, M., et al. (2022) · arXiv
Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 1,555
- Verified
Learning skillful medium-range global weather forecasting
Lam, R., Sanchez-Gonzalez, A., Willson, M., Wirnsberger, P., Fortunato, M., Alet, F., Ravuri, S., Ewalds, T., Eaton-Rosen, Z., Hu, W., et al. (2023) · Science
Meteorological Phenomena and SimulationsHydrological Forecasting Using AI
Cited by 1,466
- Verified
A Neural Conversational Model
Vinyals, O., & Le, Q. (2015) · arXiv
Speech and dialogue systemsTopic Modeling
Cited by 1,400
- Verified
Emergent Abilities of Large Language Models
Wei, J., Tay, Y., Bommasani, R., Raffel, C., Zoph, B., Borgeaud, S., Yogatama, D., Bosma, M., Zhou, D., Metzler, D., et al. (2022) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 1,264
- Verified
Gemma 3 Technical Report
Gemma Team, Kamath, A., Ferret, J., Pathak, S., Vieillard, N., Merhej, R., Perrin, S., Matejovicova, T., Ramé, A., Rivière, M., et al. (2025) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 1,156
- Verified
Competition-Level Code Generation with AlphaCode
Li, Y., Choi, D., Chung, J., Kushman, N., Schrittwieser, J., Leblond, R., Eccles, T., Keeling, J., Gimeno, F., Lago, A. D., et al. (2022) · arXiv
Software Engineering ResearchTeaching and Learning Programming
Cited by 1,043
- Verified
Competition-level code generation with AlphaCode
Li, Y., Choi, D., Chung, J., Kushman, N., Schrittwieser, J., Leblond, R., Eccles, T., Keeling, J., Gimeno, F., Dal Lago, A., et al. (2022) · Science
Software Engineering ResearchTeaching and Learning Programming
Cited by 1,043
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free