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09/14/2022
Lossy Image Compression with Conditional Diffusion Models
Denoising diffusion models have recently marked a milestone in high-qual...
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03/16/2022
SC2: Supervised Compression for Split Computing
Split computing distributes the execution of a neural network (e.g., for...
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03/16/2022
Diffusion Probabilistic Modeling for Video Generation
Denoising diffusion probabilistic models are a promising new class of ge...
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08/21/2021
Supervised Compression for Resource-constrained Edge Computing Systems
There has been much interest in deploying deep learning algorithms on lo...
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07/28/2021
Insights from Generative Modeling for Neural Video Compression
While recent machine learning research has revealed connections between ...
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10/19/2020
Hierarchical Autoregressive Modeling for Neural Video Compression
Recent work by Marino et al. (2020) showed improved performance in seque...
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08/17/2020
PIANOTREE VAE: Structured Representation Learning for Polyphonic Music
The dominant approach for music representation learning involves the dee...
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03/30/2020
Multi-Task Reinforcement Learning with Soft Modularization
Multi-task learning is a very challenging problem in reinforcement learn...
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03/30/2020
Suphx: Mastering Mahjong with Deep Reinforcement Learning
Artificial Intelligence (AI) has achieved great success in many domains,...
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06/09/2019
Deep Music Analogy Via Latent Representation Disentanglement
Analogy is a key solution to automated music generation, featured by its...
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05/28/2019
Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy
A fundamental issue in reinforcement learning algorithms is the balance ...
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04/18/2019
Inspecting and Interacting with Meaningful Music Representations using VAE
Variational Autoencoders(VAEs) have already achieved great results on im...
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02/07/2019
Artificial Intelligence for Prosthetics - challenge solutions
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, p...
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08/07/2018
