Evaluating Interpretability News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Boston MA (SPX) Jan 04, 2024 - Explaining the behavior of trained neural networks remains a compelling puzzle, especially as these models grow in size and sophistication. Like other scientific challenges throughout history, rever

Harvard universityUnited statesAntonio torralbaJacob andreasNeil chowdhuryJoanna materzynskaMartin wattenbergRott shahamTamar rott shahamUs national science foundationArtificial intelligence laboratoryDepartment of electrical engineeringWatson ai labUs army research laboratoryLeadership programNortheastern university assistant professor david bau