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05/17/2023
State Representation Learning Using an Unbalanced Atlas
The manifold hypothesis posits that high-dimensional data often lies on ...
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03/13/2023
Unsupervised Representation Learning in Partially Observable Atari Games
State representation learning aims to capture latent factors of an envir...
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06/30/2022
Deep Reinforcement Learning with Swin Transformer
Transformers are neural network models that utilize multiple layers of s...
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03/02/2022
Improving the Diversity of Bootstrapped DQN via Noisy Priors
Q-learning is one of the most well-known Reinforcement Learning algorith...
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09/28/2021
Nana-HDR: A Non-attentive Non-autoregressive Hybrid Model for TTS
This paper presents Nana-HDR, a new non-attentive non-autoregressive mod...
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06/28/2021
Expert Q-learning: Deep Q-learning With State Values From Expert Examples
We propose a novel algorithm named Expert Q-learning. Expert Q-learning ...
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10/31/2018
Face Recognition: From Traditional to Deep Learning Methods
Starting in the seventies, face recognition has become one of the most r...
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10/31/2018
Generating Photo-Realistic Training Data to Improve Face Recognition Accuracy
In this paper we investigate the feasibility of using synthetic data to ...
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07/25/2017
