End-to-end automatic speech recognition (ASR) systems often struggle to
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While significant progress has been made on Physics-Informed Neural Netw...
Physics-informed Neural Networks (PINNs) have recently achieved remarkab...
Medical visual question answering (VQA) aims to answer clinically releva...
There is a growing interest in cell-type-specific analysis from bulk sam...
Existing video domain adaption (DA) methods need to store all temporal
c...
Simile interpretation (SI) and simile generation (SG) are challenging ta...
Every human action begins with decision-making. Stress is a significant
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Deep encoders have been proven to be effective in improving neural machi...
Recently, non-autoregressive (NAT) models predict outputs in parallel,
a...
Autoregressive (AR) and Non-autoregressive (NAR) models have their own
s...
This paper describes our work in participation of the IWSLT-2021 offline...
Over the past several years there has been a considerable research inves...
When the dimension of data is comparable to or larger than the number of...
Semantic text matching, which matches a target text to a source text, is...
Effective biomedical literature retrieval (BLR) plays a central role in
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This paper presents details of our winning solutions to the task IV of N...