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Found 10 papers, 1 papers with code
Nearest Neighbor Representations of Neural Circuits
Neural networks successfully capture the computational power of the human brain for many tasks.
Nearest Neighbor Representations of Neurons
It is known that two anchors (the points to which NN is computed) are sufficient for a NN representation of a threshold function, however, the resolution (the maximum number of bits required for the entries of an anchor) is $O(n\log{n})$.
Omitted Labels in Causality: A Study of Paradoxes
We explore what we call ``omitted label contexts,'' in which training data is limited to a subset of the possible labels.
On the Information Capacity of Nearest Neighbor Representations
Specifically, in this paper, we study the representation of Boolean functions in the associative computation model, where the inputs are binary vectors and the corresponding outputs are the labels ($0$ or $1$) of the nearest neighbor anchors.
On Algebraic Constructions of Neural Networks with Small Weights
The expressive power of neural gates (number of distinct functions it can compute) depends on the weight sizes and, in general, large weights (exponential in the number of inputs) are required.
Expert Graphs: Synthesizing New Expertise via Collaboration
Consider multiple experts with overlapping expertise working on a classification problem under uncertain input.
Robust Correction of Sampling Bias Using Cumulative Distribution Functions
Varying domains and biased datasets can lead to differences between the training and the target distributions, known as covariate shift.
CodNN -- Robust Neural Networks From Coded Classification
By our approach, either the data or internal layers of the DNN are coded with error correcting codes, and successful computation under noise is guaranteed.
What is the Value of Data? On Mathematical Methods for Data Quality Estimation
Data is one of the most important assets of the information age, and its societal impact is undisputed.
The Capacity of String-Replication Systems
It is known that the majority of the human genome consists of repeated sequences.
