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06/12/2022
ChordMixer: A Scalable Neural Attention Model for Sequences with Different Lengths
Sequential data naturally have different lengths in many domains, with s...
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04/22/2022
Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention
Self-Attention is a widely used building block in neural modeling to mix...
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01/06/2022
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks
Classification of long sequential data is an important Machine Learning ...
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10/06/2021
T-SNE Is Not Optimized to Reveal Clusters in Data
Cluster visualization is an essential task for nonlinear dimensionality ...
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09/16/2021
Sparse Factorization of Large Square Matrices
Square matrices appear in many machine learning problems and models. Opt...
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08/18/2021
Stochastic Cluster Embedding
Neighbor Embedding (NE) that aims to preserve pairwise similarities betw...
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12/12/2018
Word Embedding based on Low-Rank Doubly Stochastic Matrix Decomposition
Word embedding, which encodes words into vectors, is an important starti...
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05/16/2017
Learning Image Relations with Contrast Association Networks
Inferring the relations between two images is an important class of task...
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06/18/2012
