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Found 5 papers, 0 papers with code
The Role of Linguistic Priors in Measuring Compositional Generalization of Vision-Language Models
Compositionality is a common property in many modalities including natural languages and images, but the compositional generalization of multi-modal models is not well-understood.
Rapid Connectionist Speaker Adaptation
We present SVCnet, a system for modelling speaker variability.
Deep Clustering with Measure Propagation
For example, deep embedded clustering (DEC) has greatly improved the unsupervised clustering performance, by using stacked autoencoders for representation learning.
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Deep Clustering
on Stackoverflow
Learning to Adapt by Minimizing Discrepancy
We investigate the viability of a more neurocognitively-grounded approach in the context of unsupervised generative modeling of sequences.
Accelerated Parallel Optimization Methods for Large Scale Machine Learning
The growing amount of high dimensional data in different machine learning applications requires more efficient and scalable optimization algorithms.
