... augmented **neural** **networks** (MANNs) such as **neural** Turing machine (NTM) ( Graves et ...Di↵erentiable **Neural** Computer (DNC) ( Graves et ...is **in** general possible to use particular MANNs to ...

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... Abstract. **Recurrent** **neural** **networks** are known for their notorious exploding and van- ishing gradient problem ...evident **in** tasks where the information needed to correctly solve them exist over ...

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... stored **in** the network? How is it used to process new inputs? How does it discrimi- nate between inputs belonging to the **training** set or original stimuli? We still lack a coherent and satisfying answer to ...

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... of **networks** with unit rank structure 7 Understanding the relationship between synaptic connectivity, **neural** activity and behavior is the central endeavor of ...neuroscience. **Networks** of neurons ...

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... ABSTRACT **In** this paper, we describe the IRIT’s approach used for the MediaEval 2015 ”Emotion **in** Music” ...arousal, **in** a time-continuous fashion. We chose to use **recurrent** **neural** ...

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... ABSTRACT **In** this paper, we describe the IRIT’s approach used for the MediaEval 2015 ”Emotion **in** Music” ...arousal, **in** a time-continuous fashion. We chose to use **recurrent** **neural** ...

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... Stochastic **Networks** We introduce a novel **training** principle for generative probabilistic models that is an alternative to maximum ...unimodal **in** the limit of small ...seen **in** the context of ...

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... them **in** the tar- get ...results **in** dif- ferent NLP applications such as cross-language POS tagging and cross-language super sense (SuS) tag- ging (Gouws and Søgaard, 2015a), cross-language named entity ...

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... gaps **in** motifs, motivated by genomics ...a **recurrent** network, which we call **recurrent** kernel network ...sequence **neural** network, which was a source of inspiration for our ...learned **in** ...

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... limited **training** data (Berlin database), it can have a very good classification performance compared to other ...coefficients **in** total)and a poor **training** ...used **in** classroom ...

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... channel **in** addition to the classical input channel [ 6 ...introduced **in** the context of rational-weighted **networks**, but can naturally be extended to real-weighted **networks** ...And **in** both ...

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... between **Recurrent** **Networks** and Turing Machines Dynamical systems (**in** particular discrete time systems, that is difference equations) are Turing universal (the game “Life" is a cellular automata ...

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... Abstract **In** this paper we propose a novel model for unconditional audio generation based on generating one audio sample at a ...stateful **recurrent** **neural** **networks** **in** a hierarchical ...

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... of **training** process, even we could have a good final result, we could not assure that we always get this ...Thus, **in** our evaluation, we include standard deviation of the accuracy of the last 10% ...

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... Conclusions **In** this paper, we have described the system sub- mitted to Germeval 2018 by a team composed of researchers from INRIA Sophia Antipolis and Fon- dazione Bruno Kessler **in** ...on **Recurrent** ...

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... spiking **neural** **networks** (SNNs) can be trained efficiently, **in** a supervised manner, using backpropagation through ...time. **In**- deed, the most commonly used spiking neuron model, the leaky ...

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... discussed **in** the begin- ning of this ...stories **in** total for validation and test set). Things started to change **in** the early 2010s, when larger datasets with **training** examples were proposed ...

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... Adversarial **Networks** (GANs) [ 5 ]. **In** GAN, a generator network is trained to transform a random vector drawn from a simple sampling distribution to a sample from a complicated target ...for **training** ...

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... 1 **In** recent years, deep learning has revolutionized the field of machine learning, for computer vision **in** ...particular. **In** this approach, a deep (multilayer) artificial **neural** network (ANN) ...

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... rate **in** reacting ﬂows LES is an example of closure problem that has been daunting for a long ...expressed **in** terms of ﬂame surface area [16,17] ...front **in** a tur- bulent ...areas **in** the last ...

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