engblogs

Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons

The blogpost discusses using unsupervised deep learning to identify semantic disentanglement in single inferotemporal face patch neurons.

The blogpost highlights the accepted papers from Stanford AI Lab that will be presented at the Conference on Robot Learning (CoRL 2021).

A blogpost showcasing the list of accepted papers from Stanford AI Lab at the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) and CoNLL 2021, including links to papers, videos, and blogs.

Real-world challenges for AGI: tackling climate change and advancing the science of AGI

The blogpost discusses the real-world challenges that artificial general intelligence (AGI) can help solve, including climate change and other complex problems.

Exploring techniques to solve complex math word problems efficiently

Exploring the viability of factored cognition in language models through experiments using GPT-3 with decomposition to solve complex toy tasks and provide preliminary evidence.

The importance of education and hiring a developer educator at Jane Street.

Opening up a physics simulator for robotics: Advancing research everywhere with the acquisition of MuJoCo

Exploring the complexities of simulating physical contact for robotics research.

Selective classification can improve average accuracy but fail to improve or even hurt accuracy in certain subgroups of the data, highlighting potential failure modes of using selective classification in practice.