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04/19/2023
End-to-End Policy Gradient Method for POMDPs and Explainable Agents
Real-world decision-making problems are often partially observable, and ...
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03/29/2023
Pgx: Hardware-accelerated parallel game simulation for reinforcement learning
We propose Pgx, a collection of board game simulators written in JAX. Th...
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02/07/2021
EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition
How to effectively and efficiently extract valid and reliable features f...
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08/02/2019
MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography
Understanding the connectivity in the brain is an important prerequisite...
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11/16/2017
Efficient Diverse Ensemble for Discriminative Co-Tracking
Ensemble discriminative tracking utilizes a committee of classifiers, to...
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06/30/2017
Neural Sequence Model Training via α-divergence Minimization
We propose a new neural sequence model training method in which the obje...
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04/13/2017
Virtual Adversarial Training: a Regularization Method for Supervised and Semi-supervised Learning
We propose a new regularization method based on virtual adversarial loss...
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04/02/2017
Efficient Version-Space Reduction for Visual Tracking
Discrminative trackers, employ a classification approach to separate the...
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03/31/2017
Efficient Asymmetric Co-Tracking using Uncertainty Sampling
Adaptive tracking-by-detection approaches are popular for tracking arbit...
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07/02/2015
Distributional Smoothing with Virtual Adversarial Training
We propose local distributional smoothness (LDS), a new notion of smooth...
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01/31/2015
Deep learning of fMRI big data: a novel approach to subject-transfer decoding
As a technology to read brain states from measurable brain activities, b...
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12/21/2014