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Found 7 papers, 1 papers with code
Cooperative Bayesian Optimization for Imperfect Agents
We introduce a cooperative Bayesian optimization problem for optimizing black-box functions of two variables where two agents choose together at which points to query the function but have only control over one variable each.
Measuring the Feasibility of Analogical Transfer using Complexity
Analogies are 4-ary relations of the form "A is to B as C is to D".
Tackling Morphological Analogies Using Deep Learning -- Extended Version
We demonstrate our model's competitive performance on analogy detection and resolution over multiple languages.
A Neural Approach for Detecting Morphological Analogies
In fact, symbolic approaches were developed to solve or to detect analogies between character strings, e. g., the axiomatic approach as well as that based on Kolmogorov complexity.
On the Transferability of Neural Models of Morphological Analogies
Analogical proportions are statements expressed in the form "A is to B as C is to D" and are used for several reasoning and classification tasks in artificial intelligence and natural language processing (NLP).
Improving Artificial Teachers by Considering How People Learn and Forget
The paper presents a novel model-based method for intelligent tutoring, with particular emphasis on the problem of selecting teaching interventions in interaction with humans.
Teaching to Learn: Sequential Teaching of Agents with Inner States
In sequential machine teaching, a teacher's objective is to provide the optimal sequence of inputs to sequential learners in order to guide them towards the best model.
