ImageNet classification with deep convolutional neural networks

Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton

Communications of the ACM

Convolutional Neural NetworkEngineeringMachine LearningNeural NetworkImagenet Classification +17

Dropout: a simple way to prevent neural networks from overfitting

Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky, +2

Distributed Representations of Words and Phrases and their Compositionality

Tomáš Mikolov, Ilya Sutskever, Kai Chen, +1

arXiv (Cornell University)

EngineeringMachine LearningAir CanadaMultilingual PretrainingCorpus Linguistics +16

Mastering the game of Go with deep neural networks and tree search

David Silver, Aja Huang, Chris J. Maddison, +17

Nature

Artificial IntelligenceGame AiDeep Neural NetworksEngineeringMachine Learning +8

Sequence to Sequence Learning with Neural Networks

Ilya Sutskever, Oriol Vinyals, Quoc V. Le

arXiv (Cornell University)

Structured PredictionEngineeringMachine LearningSequential LearningSmt System +15

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Martı́n Abadi, Ashish Agarwal, Paul Barham, +36

arXiv (Cornell University)

Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolAi Foundation +14

Improving neural networks by preventing co-adaptation of feature detectors

Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, +2

arXiv (Cornell University)

Feature DetectorLarge Ai ModelConvolutional Neural NetworkMachine VisionMachine Learning +13

Intriguing properties of neural networks

Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, +4

arXiv (Cornell University)

Artificial IntelligenceGeometric LearningConvolutional Neural NetworkDeep Neural NetworksMachine Vision +12

Learning Transferable Visual Models From Natural Language Supervision

Alec Radford, Jong Wook Kim, Chris Hallacy, +9

arXiv (Cornell University)

Few-shot LearningEngineeringMachine LearningNatural Language ProcessingMultimodal Llm +15

On the importance of initialization and momentum in deep learning

Ilya Sutskever, James Martens, George E. Dahl, +1