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Found 10 papers, 6 papers with code
Phoneme Hallucinator: One-shot Voice Conversion via Set Expansion
Objective and subjective evaluations show that \textit{Phoneme Hallucinator} outperforms existing VC methods for both intelligibility and speaker similarity.
Distribution-based Sketching of Single-Cell Samples
Modern high-throughput single-cell immune profiling technologies, such as flow and mass cytometry and single-cell RNA sequencing can readily measure the expression of a large number of protein or gene features across the millions of cells in a multi-patient cohort.
Transparent Single-Cell Set Classification with Kernel Mean Embeddings
Each profiled biological sample is thus represented by a set of hundreds of thousands of multidimensional cell feature vectors, which incurs a high computational cost to predict each biological sample's associated phenotype with machine learning models.
Differentiable Wavetable Synthesis
Differentiable Wavetable Synthesis (DWTS) is a technique for neural audio synthesis which learns a dictionary of one-period waveforms i. e. wavetables, through end-to-end training.
Towards Robust Active Feature Acquisition
Our framework can easily handle a large number of features using a hierarchical acquisition policy and is more robust to OOD inputs with the help of an OOD detector for partially observed data.
NRTSI: Non-Recurrent Time Series Imputation
Time series imputation is a fundamental task for understanding time series with missing data.
Exchangeable Neural ODE for Set Modeling
Reasoning over an instance composed of a set of vectors, like a point cloud, requires that one accounts for intra-set dependent features among elements.
Meta-Neighborhoods
Making an adaptive prediction based on one's input is an important ability for general artificial intelligence.
Unsupervised End-to-end Learning for Deformable Medical Image Registration
The contributions of our algorithm are threefold: (1) We transplant traditional image registration algorithms to an end-to-end convolutional neural network framework, while maintaining the unsupervised nature of image registration problems.
End-to-End Subtitle Detection and Recognition for Videos in East Asian Languages via CNN Ensemble with Near-Human-Level Performance
In this paper, we propose an innovative end-to-end subtitle detection and recognition system for videos in East Asian languages.
