[PDF] Top 20 Designing Regularizers and Architectures for Recurrent Neural Networks
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Designing Regularizers and Architectures for Recurrent Neural Networks
... shaped and often further restricted by a ...data and compu- tational resources available. For instance, a model of a weighted coin toss could involve the force applied by the tosser, which is ... Voir le document complet
82
Recurrent Neural Networks to Correct Satellite Image Classification Maps
... CNN architectures, specifically designed for pixel labeling, that seek to address the detection/localization ...trade-off. For example, Noh et ...locations, and then process this ... Voir le document complet
11
Comparing feedforward and recurrent neural network architectures with human behavior in artificial grammar learning
... models and humans performance as a function of sequence length (Fig. 4 B,D). For each grammar, we tested a Bayesian ANOVA having as factors sequence LENGTH, and AGENT (human, FF or ...LENGTH ... Voir le document complet
16
Is it time to switch to Word Embedding and Recurrent Neural Networks for Spoken Language Understanding?
... input for a classifier that is able to work with both of them, in order to have a strict ...2 and they clearly show, on both datasets, that numeric representations improve the accuracy of the ...dataset ... Voir le document complet
6
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
... Liao and Tomaso Poggio Center for Brains, Minds and Machines, McGovern Institute, MIT Abstract: We discuss relations between Residual Networks (ResNet), Recurrent Neural ... Voir le document complet
16
Segmentation and Classification of Opinions with Recurrent Neural Networks
... structures and other hand crafted features [5], ...tried neural net- works for sentiment classification ...targeted for the sentiment classifi- cation. Neural network models and ... Voir le document complet
9
An Amazon stingless bee foraging activity predicted using recurrent artificial neural networks and attribute selection
... trained and evaluated 30 times. Figure 6 presents the error (RMSE) for each ...results. For all the sets, except GRU2x5, the Shapiro-Wilk showed p-values larger than ...other architectures ... Voir le document complet
12
Learning Iterative Processes with Recurrent Neural Networks to Correct Satellite Image Classification Maps
... CNN architectures, specifically de- signed for pixel labeling, that seek to address the detec- tion/localization ...trade-off. For example, Noh et ...locations, and then process this ... Voir le document complet
10
Deriving neural architectures from sequence and graph kernels
... evolution and feature aggregation functionalities but de- rive the motivation for the operations involved from well- established kernel computations over ...Recursive neural networks are ... Voir le document complet
23
Inducing Multilingual Text Analysis Tools Using Bidirectional Recurrent Neural Networks
... on recurrent neural networks (RNN) to induce multi- lingual text analysis ...Simple and Bidirectional RNN architectures on multilingual POS and SST ...tagger for N ... Voir le document complet
12
On challenges in training recurrent neural networks
... Progressive Networks that explicitly supports the transfer of features across a sequence of ...network) and new columns are added as more tasks are ...idea and use a Network of Experts where each ... Voir le document complet
123
Recurrent Kernel Networks
... Specifically, for each of the 85 tasks, we hold out one quarter of the training samples as a validation set, use it to tune α, gap penalty λ and the regularization parameter µ in the prediction ...used ... Voir le document complet
20
The expressive power of analog recurrent neural networks on infinite input streams
... Siegelmann and Sontag introduced the concept of a non-deterministic processor net as a modification of a deterministic one, obtained by incorporating a guess input channel in addition to the classical input ... Voir le document complet
13
Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning
... AlexNet and two pruned AlexNet ...account for most of the energy con- sumption. For example, in the original AlexNet, the CONV layers contain ...reasons for this: (1) In CONV layers, the ... Voir le document complet
10
Effects of Cellular Homeostatic Intrinsic Plasticity on Dynamical and Computational Properties of Biological Recurrent Neural Networks.
... SP and time–structured inputs presumably represent a common condition for both generating sub–critical dynamics (see above) and insuring input ...static and SP is not time–dependent so that ... Voir le document complet
52
InriaFBK at Germeval 2018: Identifying Offensive Tweets Using Recurrent Neural Networks
... Antipolis and Fon- dazione Bruno Kessler in ...on Recurrent Neural Networks that does not require any external lexicon or semantic resource, and that is based on features extracted ... Voir le document complet
6
Combined magnetic and chemical patterning for neural architectures
... The hard magnetic nature of the SmCo micro-disks is revealed using magneto-optical imaging with the aid of a planar Magneto-Optic Imaging Film (MOIF). The Magneto- Optical Imaging Film (MOIF) used here is a soft magnetic ... Voir le document complet
12
Sous-continents Estimation of Emotion in Music with Recurrent Neural Networks
... used for the MediaEval 2015 ”Emotion in Music” ...valence and arousal, in a time-continuous fashion. We chose to use recurrent neural networks (RNN) for their sequence mod- eling ... Voir le document complet
4
Time-continuous Estimation of Emotion in Music with Recurrent Neural Networks
... used for the MediaEval 2015 ”Emotion in Music” ...valence and arousal, in a time-continuous fashion. We chose to use recurrent neural networks (RNN) for their sequence mod- eling ... Voir le document complet
5
On Recurrent and Deep Neural Networks
... size and the next conjugate direction as we proposed in Section ...fact and assume the metric does not change from one step to another (as NatCG-F does), the assumption will hurt ... Voir le document complet
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