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Hierarchical Autoregressive Modeling for Neural Video Compression
Recent work by Marino et al. (2020) showed improved performance in seque...
10/19/2020 ∙ by Ruihan Yang, et al. ∙
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PIANOTREE VAE: Structured Representation Learning for Polyphonic Music
The dominant approach for music representation learning involves the dee...
08/17/2020 ∙ by Ziyu Wang, et al. ∙
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Multi-Task Reinforcement Learning with Soft Modularization
Multi-task learning is a very challenging problem in reinforcement learn...
03/30/2020 ∙ by Ruihan Yang, et al. ∙
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Suphx: Mastering Mahjong with Deep Reinforcement Learning
Artificial Intelligence (AI) has achieved great success in many domains,...
03/30/2020 ∙ by Junjie Li, et al. ∙
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Deep Music Analogy Via Latent Representation Disentanglement
Analogy is a key solution to automated music generation, featured by its...
06/09/2019 ∙ by Ruihan Yang, et al. ∙
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Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy
A fundamental issue in reinforcement learning algorithms is the balance ...
05/28/2019 ∙ by Ruihan Yang, et al. ∙
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Inspecting and Interacting with Meaningful Music Representations using VAE
Variational Autoencoders(VAEs) have already achieved great results on im...
04/18/2019 ∙ by Ruihan Yang, et al. ∙
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Artificial Intelligence for Prosthetics - challenge solutions
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, p...
02/07/2019 ∙ by Łukasz Kidziński, et al. ∙
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MatchBench: An Evaluation of Feature Matchers
Feature matching is one of the most fundamental and active research area...
08/07/2018 ∙ by JiaWang Bian, et al. ∙
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