Split learning (SL) has emerged as a promising approach for model traini...
With the proliferation of distributed edge computing resources, the 6G m...
In this paper, we consider the problem of referring camouflaged object
d...
Zero-shot transfer learning for Dialogue State Tracking (DST) helps to h...
Outside-knowledge visual question answering is a challenging task that
r...
The increasingly deeper neural networks hinder the democratization of
pr...
Co-salient object detection (Co-SOD) aims at discovering the common obje...
Despite the excellent performance of large-scale vision-language pre-tra...
In this work, we focus on dialogue reading comprehension (DRC), a task
e...
Empathy, which is widely used in psychological counselling, is a key tra...
Despite the remarkable success of pre-trained language models (PLMs), th...
Visual Question Answering (VQA) models are prone to learn the shortcut
s...
Models for Visual Question Answering (VQA) often rely on the spurious
co...
Conversational Causal Emotion Entailment aims to detect causal utterance...
In zero-shot multilingual extractive text summarization, a model is typi...
Recent studies on the lottery ticket hypothesis (LTH) show that pre-trai...
To achieve visual consistency in composite images, recent image harmoniz...
Neural style transfer (NST) can create impressive artworks by transferri...
Recently, knowledge distillation (KD) has shown great success in BERT
co...
While sophisticated Visual Question Answering models have achieved remar...
Pre-trained language models of the BERT family have defined the
state-of...
Emotion Recognition in Conversation (ERC) is a more challenging task tha...
Zero-shot intent detection (ZSID) aims to deal with the continuously eme...
Most existing RGB-D salient object detection (SOD) methods focus on the
...
Recently, generative methods have been widely used in keyphrase predicti...
3D spatial information is known to be beneficial to the semantic segment...
Recently, unsupervised pre-training is gaining increasing popularity in ...
The use of RGB-D information for salient object detection has been explo...