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Found 4 papers, 0 papers with code
Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems
We identify two key challenges for applying the vanilla Transformer architecture to web-scale recommender systems: (1) Transformer architecture fails to capture the heterogeneous feature interactions in the self-attention layer; (2) The serving latency of Transformer architecture might be too high to be deployed in web-scale recommender systems.
Fair Beam Allocations through Reconfigurable Intelligent Surfaces
This framework focuses on designing explicit beamforming functionalities through optimization.
Variational Community Partition with Novel Network Structure Centrality Prior
In this paper, we proposed a novel two-stage optimization method for network community partition, which is based on inherent network structure information.
Clustering
Combinatorial Optimization
+2
Social and Information Networks
Physics and Society
New region force for variational models in image segmentation and high dimensional data clustering
We propose an effective framework for multi-phase image segmentation and semi-supervised data clustering by introducing a novel region force term into the Potts model.
