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02/12/2021
Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices
A pruning-based AutoML framework for run-time reconfigurability, namely ...
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07/17/2020
Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search with Hot Start
Hardware and neural architecture co-search that automatically generates ...
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08/01/2019
Continual Learning via Online Leverage Score Sampling
In order to mimic the human ability of continual acquisition and transfe...
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01/25/2019
Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization
Dynamic portfolio optimization is the process of sequentially allocating...
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07/04/2018
Transfer Learning From Synthetic To Real Images Using Variational Autoencoders For Precise Position Detection
Capturing and labeling camera images in the real world is an expensive t...
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06/02/2018
Internal Model from Observations for Reward Shaping
Reinforcement learning methods require careful design involving a reward...
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05/30/2018
Object Detection using Domain Randomization and Generative Adversarial Refinement of Synthetic Images
In this work, we present an application of domain randomization and gene...
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12/18/2017
Automated flow for compressing convolution neural networks for efficient edge-computation with FPGA
Deep convolutional neural networks (CNN) based solutions are the current...
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12/17/2017
Dynamic Boltzmann Machines for Second Order Moments and Generalized Gaussian Distributions
Dynamic Boltzmann Machine (DyBM) has been shown highly efficient to pred...
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09/20/2017
Transfer learning from synthetic to real images using variational autoencoders for robotic applications
Robotic learning in simulation environments provides a faster, more scal...
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07/04/2017
Conditional generation of multi-modal data using constrained embedding space mapping
We present a conditional generative model that maps low-dimensional embe...
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09/22/2016
Regularized Dynamic Boltzmann Machine with Delay Pruning for Unsupervised Learning of Temporal Sequences
We introduce Delay Pruning, a simple yet powerful technique to regulariz...
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06/11/2015
Distributed Recurrent Neural Forward Models with Synaptic Adaptation for Complex Behaviors of Walking Robots
Walking animals, like stick insects, cockroaches or ants, demonstrate a ...
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07/11/2014
Multiple chaotic central pattern generators with learning for legged locomotion and malfunction compensation
An originally chaotic system can be controlled into various periodic dyn...
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02/04/2014