Dialogue policy learning (DPL) is a crucial component of dialogue modell...
Supervised visual captioning models typically require a large scale of i...
Natural Language Generation (NLG) accepts input data in the form of imag...
Training supervised video captioning model requires coupled video-captio...
Most video-and-language representation learning approaches employ contra...
Vision-and-language (V-L) tasks require the system to understand both vi...
The "Patient Instruction" (PI), which contains critical instructional
in...
Recently, attention based models have been used extensively in many
sequ...
Multi-modal entity alignment aims to identify equivalent entities betwee...
Medical report generation task, which targets to produce long and cohere...
Gene Ontology (GO) is the primary gene function knowledge base that enab...
Feature quality has an impactful effect on recommendation performance.
T...
News recommendation is different from movie or e-commercial recommendati...
Medication recommendation targets to provide a proper set of medicines
a...
In clinics, a radiology report is crucial for guiding a patient's treatm...
Automatic radiology report generation is critical in clinics which can
r...
Medical report generation, which aims to automatically generate a long a...
Intent detection (ID) and Slot filling (SF) are two major tasks in spoke...
Video captioning combines video understanding and language generation.
D...
While Machine Comprehension (MC) has attracted extensive research intere...
Recently, chest X-ray report generation, which aims to automatically gen...
Automatically generating radiology reports can improve current clinical
...
Recent research has confirmed the feasibility of backdoor attacks in dee...
To assess the knowledge proficiency of a learner, multiple choice questi...
Embedding into hyperbolic space is emerging as an effective representati...
Recently, E-commerce platforms have extensive impacts on our human life....
We study the problem of least squares linear regression where the data-p...
Assessment of job performance, personalized health and psychometric meas...
The prevalence of wearable sensors (e.g., smart wristband) is enabling a...
In order to efficiently learn with small amount of data on new tasks,
me...
This paper presents a novel framework, MGNER, for Multi-Grained Named En...
Question answering (QA) has achieved promising progress recently. Howeve...
An important question that arises in the study of high dimensional vecto...
General image completion and extrapolation methods often fail on portrai...
Neural collaborative filtering (NCF) and recurrent recommender systems (...
Sketch portrait generation benefits a wide range of applications such as...
From medical charts to national census, healthcare has traditionally ope...
To avoid the exhaustive search over locations and scales, current
state-...
Sketch-based face recognition is an interesting task in vision and multi...