Opening the Black Box
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fundamentals

From Linear Models to Neural Networks • Mar 3, 2021

transparency

Designing Transparent Neural Networks • Mar 4, 2021

annotated-paper

Coordination Among Neural Modules Through a Shared Global Workspace • Mar 14, 2021

Coordination Among Neural Modules Through a Shared Global Workspace • Mar 14, 2021

Mixup: Beyond Empirical Risk Minimization • Mar 5, 2021

Mixup: Beyond Empirical Risk Minimization • Mar 5, 2021

Neural Additive Models • Mar 3, 2021

Neural Additive Models • Mar 3, 2021

Big Self-Supervised Models are Strong Semi-Supervised Learners • Mar 3, 2021

Big Self-Supervised Models are Strong Semi-Supervised Learners • Mar 3, 2021

explaining and exploring how machines learn