We test the hypothesis that language models trained with reinforcement
l...
As AI systems become more capable, we would like to enlist their help to...
Developing safe and useful general-purpose AI systems will require us to...
In physical design, human designers typically place macros via trial and...
The rapidly-changing deep learning landscape presents a unique opportuni...
Most compilers for machine learning (ML) frameworks need to solve many
c...
In this work, we present a learning-based approach to chip placement, on...
Placement Optimization is an important problem in systems and chip desig...
We introduce a novel end-to-end approach for learning to cluster in the
...
Runtime and scalability of large neural networks can be significantly
af...
Graph partitioning is the problem of dividing the nodes of a graph into
...
Neural Machine Translation (NMT) has shown remarkable progress over the ...
Sequence-to-sequence models have been applied to the conversation respon...