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08/17/2023
Optimal Resource Allocation for U-Shaped Parallel Split Learning
Split learning (SL) has emerged as a promising approach for model traini...
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06/21/2023
Split Learning in 6G Edge Networks
With the proliferation of distributed edge computing resources, the 6G m...
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06/13/2023
Referring Camouflaged Object Detection
In this paper, we consider the problem of referring camouflaged object d...
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06/01/2023
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking
Zero-shot transfer learning for Dialogue State Tracking (DST) helps to h...
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05/10/2023
Combo of Thinking and Observing for Outside-Knowledge VQA
Outside-knowledge visual question answering is a challenging task that r...
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03/26/2023
Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks
The increasingly deeper neural networks hinder the democratization of pr...
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03/14/2023
Co-Salient Object Detection with Co-Representation Purification
Co-salient object detection (Co-SOD) aims at discovering the common obje...
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10/26/2022
Compressing And Debiasing Vision-Language Pre-Trained Models for Visual Question Answering
Despite the excellent performance of large-scale vision-language pre-tra...
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10/26/2022
Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension
In this work, we focus on dialogue reading comprehension (DRC), a task e...
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10/21/2022
Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection
Empathy, which is widely used in psychological counselling, is a key tra...
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10/11/2022
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models
Despite the remarkable success of pre-trained language models (PLMs), th...
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10/10/2022
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA
Visual Question Answering (VQA) models are prone to learn the shortcut s...
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10/10/2022
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning
Models for Visual Question Answering (VQA) often rely on the spurious co...
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05/02/2022
Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge
Conversational Causal Emotion Entailment aims to detect causal utterance...
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04/28/2022
Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization
In zero-shot multilingual extractive text summarization, a model is typi...
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04/24/2022
Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training
Recent studies on the lottery ticket hypothesis (LTH) show that pre-trai...
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04/10/2022
Image Harmonization by Matching Regional References
To achieve visual consistency in composite images, recent image harmoniz...
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03/25/2022
Interactive Style Transfer: All is Your Palette
Neural style transfer (NST) can create impressive artworks by transferri...
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06/10/2021
Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation
Recently, knowledge distillation (KD) has shown great success in BERT co...
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06/08/2021
Check It Again: Progressive Visual Question Answering via Visual Entailment
While sophisticated Visual Question Answering models have achieved remar...
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03/21/2021
ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques
Pre-trained language models of the BERT family have defined the state-of...
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12/29/2020
A Hierarchical Transformer with Speaker Modeling for Emotion Recognition in Conversation
Emotion Recognition in Conversation (ERC) is a more challenging task tha...
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12/03/2020
Learning Disentangled Intent Representations for Zero-shot Intent Detection
Zero-shot intent detection (ZSID) aims to deal with the continuously eme...
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04/30/2020
Bilateral Attention Network for RGB-D Salient Object Detection
Most existing RGB-D salient object detection (SOD) methods focus on the ...
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04/22/2020
Keyphrase Prediction With Pre-trained Language Model
Recently, generative methods have been widely used in keyphrase predicti...
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04/09/2020
Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation
3D spatial information is known to be beneficial to the semantic segment...
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11/13/2019
Unsupervised Pre-training for Natural Language Generation: A Literature Review
Recently, unsupervised pre-training is gaining increasing popularity in ...
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07/15/2019
