neural response
Conditions for view invariance in the neural response to visual symmetry
... the neural response to symmetry was identical across view angles in our regularity discrimination task? We think it is likely that the frame provided a strong perspective cue in our experiment, which meant ...
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Neural Response Generation via GAN with an Approximate Embedding Layer
... for response generation simulta- neously with a discriminative classifier that measures the differences between human-produced responses and machine- generated ...traditional neural response ...
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Jointly Optimizing Diversity and Relevance in Neural Response Generation
... The field of neural response generation is advanc- ing rapidly both in terms of research and commer- cial applications (Gao et al., 2019; Zhou et al., 2018; Yoshino et al., 2019; Zhang et al., 2019). ...
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Neural Response Ranking for Social Conversation: A Data Efficient Approach
... a neural response ranker for open-domain ‘social’ dialogue systems and de- scribed two methods for training it using com- mon supervision signals coming from conversa- tional data: user-provided ratings and ...
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Retrieval Enhanced Adversarial Training for Neural Response Generation
... In this paper, we propose a Retrieval-Enhanced Adversarial Training (REAT) approach to make better use of N-best response candidates. A dis- criminator is introduced to replace the MLE ob- jective to supervise the ...
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Group Linguistic Bias Aware Neural Response Generation
... Besides the query and contextual information, several explicit and implicit factors (e.g. topic, emotion) play great roles in response generation. To utilize such factors for generating informative, diverse and ...
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Training Neural Response Selection for Task Oriented Dialogue Systems
... is response selection (Banchs and Li, 2012; Wang et ...in neural architectures for modelling response selection (Wu et ...pretrain response selection models that support more specialised ...
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Steering Output Style and Topic in Neural Response Generation
... patterns of conversation, the agents need to have recognizable (and tunable) style, just as individ- ual humans do, and also need to accept guidance from separate information processing modules in order to increase ...
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Neural Response Generation for Customer Service based on Personality Traits
... As in (Mairesse and Walker, 2011), we argue that personality traits are exhibited as different types of stylistic linguistic variation. Thus, our model’s response is conditioned on generation parameters which are ...
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Augmenting Neural Response Generation with Context-Aware Topical Attention
... Finally, we investigate the impact of training datasets on the quality of the responses generated by THRED and all baselines. Table 6 has results which support that our cleaner, well-parsed Reddit dataset generates ...
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Learning to Control the Specificity in Neural Response Generation
... utterance- response pairs with respect to their specificity re- ...utterance- response mappings in terms of ...the response Y given the input utterance ...
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Neural Response Generation with Meta words
... the response to gen- ...of response generation with various meta-words, where “Act”, “Len”, “Copy”, “Utts”, and “Spe” are variables of a meta-word and refer to dialogue act, response length (includ- ...
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Construction and Characterization of 3D Receptive Fields in Mouse Primary Auditory Cortex
... characterizes neural response at different contour levels and shows how the neuron’s best response is shaping towards its characteristic frequency ...auditory response across all three ...
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High school music classes enhance the neural processing of speech
... earlier neural responses to speech presented in ...the neural response to the dynamically changing portion of the syllable (10–70 ms), as earlier timing within this response region has been ...
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Analysis of an Attractor Neural Network’s Response to Conflicting External Inputs
... A common approach used to analyze continuous attractor neural networks is to approximate the N -dimensional system of ordinary differential equations (Eq. (1)) by a partial differential equation by taking the ...
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Neural Network Approach to Response of Buildings Due to Earthquake Excitation
... the response of structures with a soft first ...dynamic response of the structure under the op- timum conditions on frequencies (low or high) for proper analysis of the resulting deformation of the ...
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Towards an automated analysis for the delineation of focal epilepsy : single pulse electrical stimulation and machine learning
... convolutional neural network (CNN), which is a form of DL that is commonly used for image classification [21, 22, 23, 24], are directly based on the functional architecture found in a cat’s visual cortex ...
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Reiterated Wnt signaling during zebrafish neural crest development
... in neural crest cell fate specification after crest cells have been ...zebrafish neural crest cells promotes pigment cell determination at the expense of neurons and glia, while inhibition of the ...
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A REVIEW PAPER ON PREDICTION OF OSTEOPOROSIS
... The experimental setup comprises an impulse force hammer and two ceramic shear type accelerometers (ADXL 345) within built charge, amplifiers. The coupler provides constant current excitation required by accelerometers ...
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Response choice, emotion, and psychopathy
... In some respects, the task context module model could be considered a formal representation of the automaticity account (Cohen, Dunbar et al. 1990; Cohen, Servan- Schreiber et al. 1992). The model has already been ...
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