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Found 6 papers, 0 papers with code
Learning interactions to boost human creativity with bandits and GPT-4
This paper considers how interactions with AI algorithms can boost human creative thought.
Training-Time Attacks against k-Nearest Neighbors
We distill this goal to the task of performing a training-set data insertion attack against $k$-Nearest Neighbor classification ($k$NN).
Preference-Based Batch and Sequential Teaching
We analyze several properties of the teaching complexity parameter $TD(\sigma)$ associated with different families of the preference functions, e. g., comparison to the VC dimension of the hypothesis class and additivity/sub-additivity of $TD(\sigma)$ over disjoint domains.
Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models
In our framework, each function $\sigma \in \Sigma$ induces a teacher-learner pair with teaching complexity as $\TD(\sigma)$.
Program Synthesis from Visual Specification
Program synthesis is the process of automatically translating a specification into computer code.
Active Learning with Oracle Epiphany
We present a theoretical analysis of active learning with more realistic interactions with human oracles.
