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A Multi-stream Convolutional Neural Network for Micro-expression Recognition Using Optical Flow and EVM
Micro-expression (ME) recognition plays a crucial role in a wide range o...
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Transfer Learning from Speech Synthesis to Voice Conversion with Non-Parallel Training Data
This paper presents a novel framework to build a voice conversion (VC) s...
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Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge
To better understand early brain growth patterns in health and disorder,...
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Suphx: Mastering Mahjong with Deep Reinforcement Learning
Artificial Intelligence (AI) has achieved great success in many domains,...
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A Vision of C-V2X: Technologies, Field Testing and Challenges with Chinese Development
C-V2X (Cellular Vehicle-to-Everything) is the important enabling technol...
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Distributional Reward Decomposition for Reinforcement Learning
Many reinforcement learning (RL) tasks have specific properties that can...
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Fully Parameterized Quantile Function for Distributional Reinforcement Learning
Distributional Reinforcement Learning (RL) differs from traditional RL i...
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Reinforcement Learning for Relation Classification from Noisy Data
Existing relation classification methods that rely on distant supervisio...
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Adversarial Neural Machine Translation
In this paper, we study a new learning paradigm for Neural Machine Trans...
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Somoclu: An Efficient Parallel Library for Self-Organizing Maps
Somoclu is a massively parallel tool for training self-organizing maps o...
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Mining Compressed Repetitive Gapped Sequential Patterns Efficiently
Mining frequent sequential patterns from sequence databases has been a c...
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