Statements (56)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Person
|
| gptkbp:affiliation |
gptkb:University_of_Toronto
gptkb:Vector_Institute gptkb:Google_Brain |
| gptkbp:author |
gptkb:Yoshua_Bengio
gptkb:Yann_LeCun |
| gptkbp:awards |
Turing Award
|
| gptkbp:birthDate |
1956-12-06
|
| gptkbp:birthPlace |
gptkb:Canada
|
| gptkbp:children |
2
|
| gptkbp:contribution |
Advancements in robotics
Advancements in natural language processing Advancements in AI safety Advancements in generative models Advancements in AI applications Advancements in explainable AI Advancements in reinforcement learning Advancements in AI education Advancements in AI policy Advancements in adversarial training Advancements in attention mechanisms Advancements in computer vision Advancements in convolutional neural networks Advancements in deep reinforcement learning Advancements in ethical AI Advancements in feature learning Advancements in large-scale neural networks Advancements in model interpretability Advancements in neural architecture search Advancements in optimization techniques Advancements in recurrent neural networks Advancements in speech recognition Advancements in supervised learning Advancements in transfer learning Advancements in unsupervised learning |
| gptkbp:education |
gptkb:University_of_Alberta
PhD_in_Computer_Science |
| gptkbp:field |
Computer Science
|
| https://www.w3.org/2000/01/rdf-schema#label |
Scott L. Hinton
|
| gptkbp:influenced |
AI research
Machine_Learning_community Deep_Learning_community |
| gptkbp:influencedBy |
gptkb:Geoffrey_Hinton
|
| gptkbp:knownFor |
gptkb:Boltzmann_Machines
gptkb:Deep_Belief_Networks gptkb:ImageNet_competition Contributions to machine learning Dropout technique Backpropagation algorithm |
| gptkbp:nationality |
Canadian
|
| gptkbp:notableWork |
Neural Networks
|
| gptkbp:researchInterest |
Artificial Intelligence
Cognitive Science Neural Networks |
| gptkbp:residence |
gptkb:Toronto
|
| gptkbp:spouse |
gptkb:Diane_Hinton
|