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08/21/2023
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees
Neuro-symbolic hybrid systems are promising for integrating machine lear...
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05/01/2023
Interpreting Deep Forest through Feature Contribution and MDI Feature Importance
Deep forest is a non-differentiable deep model which has achieved impres...
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07/03/2022
Compositional Graphical Lasso Resolves the Impact of Parasitic Infection on Gut Microbial Interaction Networks in a Zebrafish Model
Understanding how microbes interact with each other is key to revealing ...
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07/03/2022
Reference-Invariant Inverse Covariance Estimation with Application to Microbial Network Recovery
The interactions between microbial taxa in microbiome data has been unde...
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07/03/2022
Asymptotic Uncertainty of False Discovery Proportion for Dependent t-Tests
Multiple testing is a fundamental problem in high-dimensional statistica...
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07/03/2022
Asymptotic Uncertainty of False Discovery Proportion
Multiple testing has been a popular topic in statistical research. Altho...
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02/15/2022
Learning to Solve Routing Problems via Distributionally Robust Optimization
Recent deep models for solving routing problems always assume a single d...
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01/26/2022
Neural Grapheme-to-Phoneme Conversion with Pre-trained Grapheme Models
Neural network models have achieved state-of-the-art performance on grap...
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11/11/2021
Towards Theoretical Understanding of Flexible Transmitter Networks via Approximation and Local Minima
Flexible Transmitter Network (FTNet) is a recently proposed bio-plausibl...
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09/30/2021
LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values
Multivariate time series (MTS) prediction is ubiquitous in real-world fi...
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09/06/2021
VulSPG: Vulnerability detection based on slice property graph representation learning
Vulnerability detection is an important issue in software security. Alth...
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06/17/2021
Seeing Differently, Acting Similarly: Imitation Learning with Heterogeneous Observations
In many real-world imitation learning tasks, the demonstrator and the le...
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04/24/2021
The Design of the User Interfaces for Privacy Enhancements for Android
We present the design and design rationale for the user interfaces for P...
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04/17/2021
Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport
Complex objects are usually with multiple labels, and can be represented...
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09/03/2020
Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody Transfer
With the development of automatic speech recognition (ASR) and text-to-s...
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06/12/2020
Provably Robust Metric Learning
Metric learning is an important family of algorithms for classification ...
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06/07/2020
Soft Gradient Boosting Machine
Gradient Boosting Machine has proven to be one successful function appro...
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05/11/2020
Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data
Adversarial black-box attacks aim to craft adversarial perturbations by ...
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11/15/2019
Multi-Label Learning with Deep Forest
In multi-label learning, each instance is associated with multiple label...
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11/05/2019
The ASVspoof 2019 database
Automatic speaker verification (ASV) is one of the most natural and conv...
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09/09/2019
Expert-Level Atari Imitation Learning from Demonstrations Only
One of the key issues for imitation learning lies in making policy learn...
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06/26/2019
End-to-End Emotional Speech Synthesis Using Style Tokens and Semi-Supervised Training
This paper proposes an end-to-end emotional speech synthesis (ESS) metho...
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11/20/2018
Improving Sequence-to-Sequence Acoustic Modeling by Adding Text-Supervision
This paper presents methods of making using of text supervision to impro...
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10/16/2018
Sequence-to-Sequence Acoustic Modeling for Voice Conversion
In this paper, a neural network named Sequence-to- sequence ConvErsion N...
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03/24/2017
Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection
In the field of connectomics, neuroscientists seek to identify cortical ...
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09/13/2016
DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images
Object skeletons are useful for object representation and object detecti...
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05/20/2016
Shape Recognition by Bag of Skeleton-associated Contour Parts
Contour and skeleton are two complementary representations for shape rec...
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03/31/2016
