[PDF] Top 20 Comparing learned representations of deep neural networks
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Comparing learned representations of deep neural networks
... degree of Master of Engineering in Electrical Engineering and Computer Science Abstract In recent years, a variety of deep neural network architectures have obtained substan- tial ... Voir le document complet
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Characterizing and comparing acoustic representations in convolutional neural networks and the human auditory system
... rejection of the mechanist perspective does not lead me to embrace the functional account ...organization of decomposed subcapacities could be arranged to demon- strate the phenomenon to be ...In ... Voir le document complet
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Comparing Representations for Audio Synthesis Using Generative Adversarial Networks
... Terms—audio, representations, synthesis, generative, adversarial ...years, deep learning for audio has shifted from using hand-crafted features requiring prior knowledge, to features learned from raw ... Voir le document complet
6
Deep neural networks for natural language processing and its acceleration
... are learned from a raw corpus, by learning to recon- struct the sentence itself, learning to predict the surrounding sentences or just adding word embeddings in a sentence ...all of its hidden ...ordering ... Voir le document complet
140
Deep Background Subtraction with Scene-Specific Convolutional Neural Networks
... doi:10.1109/IWSSIP.2016.7502717 , BiBTeX entry I. I NTRODUCTION Detecting moving objects in video sequences acquired with static cameras is essential for vision applications such as traffic monitoring, people counting, ... Voir le document complet
5
Leveraging deep neural networks with nonnegative representations for improved environmental sound classification
... 3.3.2. Comparing to time-frequency representations We compare in Table 3 the best proposed NMF-DNN systems to similar networks using the CQT representation directly as ...quality of this ... Voir le document complet
7
Classification of Time-Series Images Using Deep Convolutional Neural Networks
... parameters of the ...advantage of chain-rule of derivative. Once the derivatives of parameters obtained, the weight is updated as follows: the weight’s output delta and input activation are ... Voir le document complet
9
Deep neural networks for automatic classification of anesthetic-induced unconsciousness
... One of the challenges encountered in deploying novel EEG metrics of conscious- ness at the bedside is automation, in that they require expert analysis or interpretation of the ...research, ... Voir le document complet
11
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)
... ORK Deep model for computer vision and natural ...the deep neural network developed rapidly in recent years in both the field of computer vision and natural lan- ...a deep Convolutional ... Voir le document complet
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Classification of Time-Series Images Using Deep Convolutional Neural Networks
... parameters of the ...advantage of chain-rule of derivative. Once the derivatives of parameters obtained, the weight is updated as follows: the weight’s output delta and input activation are ... Voir le document complet
9
Multichannel audio source separation with deep neural networks
... window of length 1024 and hopsize 512 resulting F = 513 frequency ...difference of arrivals (TDOAs) be- tween the speaker’s mouth and each of the microphones are first measured using the provided ... Voir le document complet
14
New Paradigm in Speech Recognition: Deep Neural Networks
... 2012, deep learning has shown excellent results in many domains: image recognition, speech recognition, language modelling, parsing, information retrieval, speech synthesis, translation, autonomous cars, gaming, ... Voir le document complet
8
Singing voice detection with deep recurrent neural networks
... characteristics of singing voice: vibrato and tremolo. In order to improve state-of-the-art results, current singing voice detection techniques usually focus on the feature ...lot of different simple ... Voir le document complet
6
Impact of reverberation through deep neural networks on adversarial perturbations
... source of inspiration is [ 2 ], where the authors propose the reverberation procedure to model the func- tioning of human memory, and in particular to deal with catastrophic ...part of its internal ... Voir le document complet
10
Compression of Deep Neural Networks for Image Instance Retrieval
... quantization of weight ...layers of the network, motivated by the visualization work in ...layers of a deep network ...the representations become more specific to object categories, ... Voir le document complet
11
De-noising and de-blurring of images using deep neural networks
... In this paper, we test using a Learning Synthesis Deep Neural Network (LS-DNN) [2] in combination with BM3D [3], an off the shelf de-noising tool, to generate images, att[r] ... Voir le document complet
12
Entropy and mutual information in models of deep neural networks
... class of deep learning models with a tractable method to compute information- theoretic ...two-layers networks with Gaussian random weights, using the recently introduced adaptive interpolation ... Voir le document complet
66
Mean-field Langevin System, Optimal Control and Deep Neural Networks
... Therefore V 0 is a natural Lyapunov function for the process (α s ), and in order for the equality dV 0 (α) ds = 0 to be true, the control α must satisfy the forward-backward system (1.2). This analysis (though not ... Voir le document complet
25
Unsupervised Layer-Wise Model Selection in Deep Neural Networks
... properties of abstraction of the hidden lay- ers in an Information Theoretical perspective and taking inspiration from ...choice of the examples (curricu- lum learning [5]) used to train the RBM, ... Voir le document complet
7
Predicting the Propagation of Acoustic Waves using Deep Convolutional Neural Networks
... prediction of noise generated by aero-acoustic sources has been approached in the last 50 years with a large range of numerical and analytical ...computation of the hydrodynamic fluctuations in the ... Voir le document complet
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