Yoshua Bengio
Deep learning researcher · 2018 Turing Award co-recipient
Records 11
Newest first. Open one to see it with its source.
At the same session, a lab (measurement and reporting) and an independent scientist (prior licensing and liability insurance) put forward different regulatory models. This gap becomes the real front line of international
Brings the format of an IPCC-style international consensus document to the AI risk debate. A shared factual basis for regulatory debates in each country
Moves the definition of AGI from rhetoric to a psychometric scale; the biggest deficit is long-term memory storage
Shifted safety discourse from warnings to proposing an alternative architecture. Presented non-agentic AI as a workable technical route
The paper that solved the fixed-length vector bottleneck with attention. The direct predecessor of the Transformer's self-attention
Framed representation learning as a single problem, becoming the field's standard reference from then on
Showed that activation functions and initialization determine training stability. The origin of Glorot initialization
Showed experimentally that layer-wise unsupervised pretraining eases the difficulty of training
Proposed a neural language model that learns words as dense vectors. The direct predecessor of the embedding lineage that includes word2vec
Established a practical CNN architecture combining convolution, pooling and fully connected layers, and made MNIST the standard testbed
Confirmed in theory and experiments that recurrent neural networks struggle to learn long-term dependencies, motivating the development of later architectures