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06/05/2023
Deep Learning From Crowdsourced Labels: Coupled Cross-entropy Minimization, Identifiability, and Regularization
Using noisy crowdsourced labels from multiple annotators, a deep learnin...
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06/05/2023
Under-Counted Tensor Completion with Neural Incorporation of Attributes
Systematic under-counting effects are observed in data collected across ...
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05/30/2023
Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach
The recent integration of deep learning and pairwise similarity annotati...
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06/14/2021
Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization
Unsupervised learning of the Dawid-Skene (D S) model from noisy, incom...
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04/29/2021
Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under Non-Euclidean Losses
This work considers low-rank canonical polyadic decomposition (CPD) unde...
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11/25/2020
Mixed Membership Graph Clustering via Systematic Edge Query
This work considers clustering nodes of a largely incomplete graph. Unde...
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06/30/2020
Recovering Joint Probability of Discrete Random Variables from Pairwise Marginals
Learning the joint probability of random variables (RVs) lies at the hea...
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01/08/2020
On Recoverability of Randomly Compressed Tensors with Low CP Rank
Our interest lies in the recoverability properties of compressed tensors...
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09/26/2019
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms
The data deluge comes with high demands for data labeling. Crowdsourcing...
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10/15/2017