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02/19/2023
Evaluating Representations with Readout Model Switching
Although much of the success of Deep Learning builds on learning good re...
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02/08/2023
Investigating the role of model-based learning in exploration and transfer
State of the art reinforcement learning has enabled training agents on t...
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12/16/2022
Efficient Conditionally Invariant Representation Learning
We introduce the Conditional Independence Regression CovariancE (CIRCE),...
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10/14/2022
Sequential Learning Of Neural Networks for Prequential MDL
Minimum Description Length (MDL) provides a framework and an objective f...
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09/30/2022
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods
Self-supervised methods have achieved remarkable success in transfer lea...
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11/02/2021
Procedural Generalization by Planning with Self-Supervised World Models
One of the key promises of model-based reinforcement learning is the abi...
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06/15/2021
Self-Supervised Learning with Kernel Dependence Maximization
We approach self-supervised learning of image representations from a sta...
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06/08/2021
Vector Quantized Models for Planning
Recent developments in the field of model-based RL have proven successfu...
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10/14/2019
Low Bit-Rate Speech Coding with VQ-VAE and a WaveNet Decoder
In order to efficiently transmit and store speech signals, speech codecs...
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07/10/2018
Representation Learning with Contrastive Predictive Coding
While supervised learning has enabled great progress in many application...
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02/11/2018
GeoMFree3D: An Under-Development Meshfree Software Package for Geomechanics
This paper briefly reports the GeoMFree3D, a meshfree / meshless softwar...
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01/02/2018
DeepMind Control Suite
The DeepMind Control Suite is a set of continuous control tasks with a s...
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11/28/2017
Parallel WaveNet: Fast High-Fidelity Speech Synthesis
The recently-developed WaveNet architecture is the current state of the ...
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06/14/2016
