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Found 7 papers, 0 papers with code
A Reconfigurable Convolution-in-Pixel CMOS Image Sensor Architecture
The separation of the data capture and analysis in modern vision systems has led to a massive amount of data transfer between the end devices and cloud computers, resulting in long latency, slow response, and high power consumption.
Towards Non-task-specific Distillation of BERT via Sentence Representation Approximation
There are plenty of studies showing that the knowledge distillation is efficient in transferring the knowledge from BERT into the model with a smaller size of parameters.
Guiding Variational Response Generator to Exploit Persona
Leveraging persona information of users in Neural Response Generators (NRG) to perform personalized conversations has been considered as an attractive and important topic in the research of conversational agents over the past few years.
Improving the Robustness of Deep Reading Comprehension Models by Leveraging Syntax Prior
Despite the remarkable progress on Machine Reading Comprehension (MRC) with the help of open-source datasets, recent studies indicate that most of the current MRC systems unfortunately suffer from weak robustness against adversarial samples.
MemeFaceGenerator: Adversarial Synthesis of Chinese Meme-face from Natural Sentences
Chinese meme-face is a special kind of internet subculture widely spread in Chinese Social Community Networks.
Why Do Neural Response Generation Models Prefer Universal Replies?
Recent advances in sequence-to-sequence learning reveal a purely data-driven approach to the response generation task.
A Prospective-Performance Network to Alleviate Myopia in Beam Search for Response Generation
Generative dialog models usually adopt beam search as the inference method to generate responses.
