1463 A Relation-Aware Heterogeneous Graph Transformer on Dynamic Fusion for Multimodal Classification Tasks 8720 A RIEMANNIAN-BASED JOINT DESIGN FRAMEWORK OF MIMO RADAR TRANSMIT WAVEFORM AND RECEIVE FILTER VIA INFORMATION THEORY 4345 A ROBUST AND SCALABLE METHOD WITH AN ANALYTIC SOLUTION FOR MULTI-SUBJECT...
Fudong Lin (University of Delaware, Newark), Kaleb Guillot, Summer Crawford, Yihe Zhang, Xu Yuan, Nian-Feng Tzeng. KDD 2024 [link] MulSTE: A Multi-view Spatio-temporal Learning Framework with Heterogeneous Event Fusion for Demand-supply Prediction. Li Lin (Southeast University, Nanjing), ...
Existing learning models, when applied to this task, cannot explain how subjects generalize from only a few examples of the concept. The author proposes a principled Bayesian model based on the assumption that the examples are a random sample from the concept to be learned. The model gives ...
A curated list of awesome Matlab frameworks, libraries and software. rasmusbergpalm/DeepLearnToolbox - Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to ...
SCALEX - [python] - SCALEX provides a VAE framework for integration of heterogeneous single-cell data by disentangling batch-invariant components from batch-related variations and projecting the batch-invariant components into a generalized, low-dimensional cell-embedding space. Construction of continuousl...
Deep heterogeneous autoencoder for subspace clustering of sequential data. Siddique, Mozhdehi, Medeiros https://arxiv.org/pdf/2007.07175.pdf Self-reflective variational autoencoder. Apostolopoulou, Rosenfeld, Dubrawksi https://arxiv.org/pdf/2007.05166.pdf Disentangled variational autoencoder based multi...
towards performance portable programming for distributed heterogeneous systems [Paper] simper: simple self-supervised learning of periodic targets [Paper] class-specific channel attention for few-shot learning [Paper] deep stable representation learning on electronic health records [Paper] a demonstra...
towards performance portable programming for distributed heterogeneous systems [Paper] simper: simple self-supervised learning of periodic targets [Paper] class-specific channel attention for few-shot learning [Paper] deep stable representation learning on electronic health records [Paper] a demonstra...