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Found 6 papers, 1 papers with code
Diversity Based Edge Pruning of Neural Networks Using Determinantal Point Processes
We then empirically show that DPP edge pruning for neural networks outperforms other competing methods (both edge and node) on real data.
Understanding Diversity Based Neural Network Pruning in Teacher Student Setup
Despite multitude of empirical advances, there is a lack of theoretical understanding of the effectiveness of different pruning methods.
Statistical Mechanical Analysis of Neural Network Pruning
We inspect different pruning techniques under the statistical mechanics formulation of a teacher-student framework and derive their generalization error (GE) bounds.
Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models
The Gibbs sampler is a particularly popular Markov chain used for learning and inference problems in Graphical Models (GMs).
On The Projection Operator to A Three-view Cardinality Constrained Set
The cardinality constraint is an intrinsic way to restrict the solution structure in many domains, for example, sparse learning, feature selection, and compressed sensing.
Slice Normalized Dynamic Markov Logic Networks
In many applications, a Markov logic network (MLN) is trained in one domain, but used in a different one.
