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Found 3 papers, 1 papers with code
Learning and Compositionality: a Unification Attempt via Connectionist Probabilistic Programming
We consider learning and compositionality as the key mechanisms towards simulating human-like intelligence.
On Provable Backdoor Defense in Collaborative Learning
The framework shows that the subset selection process, a deciding factor for subset aggregation methods, can be viewed as a code design problem.
Defending Neural Backdoors via Generative Distribution Modeling
An original trigger used by an attacker to build the backdoored model represents only a point in the space.
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