[PDF] Top 20 Exploiting Structure for Scalable and Robust Deep Learning
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Exploiting Structure for Scalable and Robust Deep Learning
... imitation learning Abbeel and Ng, 2004; Ziebart et ...imitation learning is known as behavioral cloning, where the goal is to mimic a batch of pre-collected demonstration data, ... See full document
141
Learning Scalable Deep Kernels with Recurrent Structure
... of deep models by following a Bayesian nonparametric ...algebraic structure of these kernels, decomposing the relevant covariance matrices into Kronecker products of circulant matrices, for O (n) training ... See full document
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Scalable Kernel Learning, Tensors in Community Identification, and Robust Adversary Detection in Deep Neural Networks
... to learning over unsupervised, complex, and adversarial ...online, scalable and robust algorithms, enabling streaming ana- lytics of sequential measurements based on vector, matrix, and tensor-based ... See full document
126
Learning how to be robust: Deep polynomial regression
... strong structure. Departing from problem-tailored heuristics for robust estimation of parametric models, we explore deep convolutional neural ...training deep regression models without the ... See full document
19
Scalable Wide and Deep Learning for Computer Assisted Coding
... An integral part of the model building process was the tuning of the decision thresholds. Though individual thresholds per code are possible best mi- cro-F1 results were always achieved with a com- mon decision threshold ... See full document
7
DLAU: A Scalable Deep Learning Accelerator Unit on FPGA
... execution. In parallel to the computation at every cycle, TMMU reads the next node from input buffer and saves to the registers Reg_b. Consequently, the registers Reg_a and Reg_b can be used alternately. For the ... See full document
8
Scalable deep feature learning for person re-identification
... a robust feature learner that needs to be trained only once and can be deployed out-of-the-box for any new camera network without further data collection or adaptive ... See full document
181
Distributionally Robust and Structure Exploiting Algorithms for Power System Optimization Problems
... distributionally robust chance constrained approximate ...tionally robust formulation is the Wasserstein ball centered at the empirical ...and scalable solution ...distributionally robust ... See full document
230
Robust, Scalable, and Provable Approaches to High Dimensional Unsupervised Learning
... the robust PCA problem, we focus on both the outlier detection and the matrix decomposition ...two scalable randomized frameworks for the implementation of outlier detection ...non-iterative robust ... See full document
271
Exploiting Experts' Knowledge for Structure Learning of Bayesian Networks
... more robust score by marginalizing out the experts’ accuracy ...that exploiting experts’ knowledge can improve the structure learning if we take the experts’ ac- curacies into ... See full document
14
Co evolving memetic algorithms: A learning approach to robust scalable optimisation
... Bristol, U.K. [email protected] Abstract- This paper presents and examines the be- haviour of a system whereby the rules governing lo- cal search within a Memetic Algorithm are co-evolved alongside the problem ... See full document
8
Deep speckle correlation: a deep learning approach toward scalable imaging through scattering media
... Second, each binned object pixel may combine pixels from both the object and back- ground regions, introducing incorrect (noisy) ground-truth. Robust training using noisy ground-truth has been shown in other CNN ... See full document
28
Robust object representation by boosting-like deep learning architecture
... more robust and adaptable ...the deep networks with a propagation feedback ...new deep learning framework, which only requires a small-scale CNN but achieves higher performance with less ... See full document
17
A Robust Visual Tracking Method through Deep Learning Features
... Figure 1. The structure of convolutional neural network used in visual tracking. Scale Estimation We separate position estimation and scale estimation into two phases in each frame. The first phase does nearly the ... See full document
6
DeepSLAM: A Robust Monocular SLAM System with Unsupervised Deep Learning
... 3D structure of environment while the Tracking-Net is a Recurrent Convolutional Neu- ral Network (RCNN) architecture for capturing the camera ...is robust in some challenging ... See full document
10
Bio-motivated features and deep learning for robust speech recognition
... The way in which the experience is defined depends of how the available dataset is used. It can be divided into unsupervised and supervised learning problems. A dataset is a collection of many different samples. ... See full document
179
Exploiting spectro-temporal locality in deep learning based acoustic event detection
... The first conclusion is that the best performing resolu- tion overall is not the best resolution for each and every acoustic event class separately. In general, and consis- tent with previous assumptions, certain ... See full document
12
Exploiting Deep Neural Networks and Head Movements for Robust Binaural Localisation of Multiple Sources in Reverberant Environments
... the output layer. The same DNN architecture was used for all frequency bands and we did not optimise it for individual frequencies. The neural network was initialised with a single hid- den layer, and the number of ... See full document
17
Towards More Scalable and Robust Machine Learning
... Adversarially Robust Generalization Many machine learning models are vulnerable to adversarial attacks; for example, adding adversarial perturbations that are imperceptible to humans can often make machine ... See full document
172
Exploiting the structure of feature spaces in kernel learning
... In Chapter 11, the problem tackled is the segmentation of the Magnetic Resonance Imaging (MRI). MRI allows the acquisition of high-resolution images of the brain. The diagnosis of various brain illnesses is supported by ... See full document
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