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Found 9 papers, 1 papers with code
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods
This paper studies the Partial Optimal Transport (POT) problem between two unbalanced measures with at most $n$ supports and its applications in various AI tasks such as color transfer or domain adaptation.
Correlated Attention in Transformers for Multivariate Time Series
Multivariate time series (MTS) analysis prevails in real-world applications such as finance, climate science and healthcare.
Learning to Schedule in Non-Stationary Wireless Networks With Unknown Statistics
We propose a novel algorithm termed MW-UCB for generalized wireless network scheduling, which is based on the Max-Weight policy and leverages the Sliding-Window Upper-Confidence Bound to learn the channels' statistics under non-stationarity.
On Unbalanced Optimal Transport: Gradient Methods, Sparsity and Approximation Error
In this paper, we propose a novel algorithm based on Gradient Extrapolation Method (GEM-UOT) to find an $\varepsilon$-approximate solution to the UOT problem in $O\big( \kappa \log\big(\frac{\tau n}{\varepsilon}\big) \big)$ iterations with $\widetilde{O}(n^2)$ per-iteration cost, where $\kappa$ is the condition number depending on only the two input measures.
FedXGBoost: Privacy-Preserving XGBoost for Federated Learning
Federated learning is the distributed machine learning framework that enables collaborative training across multiple parties while ensuring data privacy.
Improving Vietnamese Named Entity Recognition from Speech Using Word Capitalization and Punctuation Recovery Models
The model takes input text from an ASR system and performs two tasks at the same time, producing proper text formatting that helps to improve NER performance.
VAIS ASR: Building a conversational speech recognition system using language model combination
Automatic Speech Recognition (ASR) systems have been evolving quickly and reaching human parity in certain cases.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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VAIS Hate Speech Detection System: A Deep Learning based Approach for System Combination
Nowadays, Social network sites (SNSs) such as Facebook, Twitter are common places where people show their opinions, sentiments and share information with others.
