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09/06/2023
GPT Can Solve Mathematical Problems Without a Calculator
Previous studies have typically assumed that large language models are u...
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08/31/2023
ViLTA: Enhancing Vision-Language Pre-training through Textual Augmentation
Vision-language pre-training (VLP) methods are blossoming recently, and ...
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08/17/2023
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
Catastrophic forgetting (CF) is a phenomenon that occurs in machine lear...
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08/09/2023
Speaker Recognition Using Isomorphic Graph Attention Network Based Pooling on Self-Supervised Representation
The emergence of self-supervised representation (i.e., wav2vec 2.0) allo...
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06/06/2023
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs
In-Batch contrastive learning is a state-of-the-art self-supervised meth...
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05/28/2023
Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning
Large pre-trained models (LPMs), such as LLaMA and ViT-G, have shown exc...
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05/23/2023
Advances and Challenges of Multi-task Learning Method in Recommender System: A Survey
Multi-task learning has been widely applied in computational vision, nat...
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05/20/2023
Mitigating Catastrophic Forgetting in Task-Incremental Continual Learning with Adaptive Classification Criterion
Task-incremental continual learning refers to continually training a mod...
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05/10/2023
Investigating Forgetting in Pre-Trained Representations Through Continual Learning
Representation forgetting refers to the drift of contextualized represen...
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05/03/2023
Causal Interventions-based Few-Shot Named Entity Recognition
Few-shot named entity recognition (NER) systems aims at recognizing new ...
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03/22/2023
CLIP^2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data
Contrastive Language-Image Pre-training, benefiting from large-scale unl...
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03/19/2023
The Graph feature fusion technique for speaker recognition based on wav2vec2.0 framework
Pre-trained wav2vec2.0 model has been proved its effectiveness for speak...
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03/03/2023
Towards Domain Generalization for Multi-view 3D Object Detection in Bird-Eye-View
Multi-view 3D object detection (MV3D-Det) in Bird-Eye-View (BEV) has dra...
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01/05/2023
Sum-Rate Maximization in Active RIS-Assisted Multi-Antenna WPCN
In this paper, we propose an active reconfigurable intelligent surface (...
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11/30/2022
Findings of the WMT 2022 Shared Task on Translation Suggestion
We report the result of the first edition of the WMT shared task on Tran...
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10/10/2022
Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization
Semi-supervised semantic segmentation requires the model to effectively ...
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10/09/2022
Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment
Word alignment which aims to extract lexicon translation equivalents bet...
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10/05/2022
Joint Reconfigurable Intelligent Surface Location and Passive Beamforming Optimization for Maximizing the Secrecy-Rate
The physical layer security (PLS) is investigated for reconfigurable int...
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09/13/2022
Rethink about the Word-level Quality Estimation for Machine Translation from Human Judgement
Word-level Quality Estimation (QE) of Machine Translation (MT) aims to f...
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04/30/2022
ONCE-3DLanes: Building Monocular 3D Lane Detection
We present ONCE-3DLanes, a real-world autonomous driving dataset with la...
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04/19/2022
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation
Generating adversarial examples for Neural Machine Translation (NMT) wit...
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03/18/2022
Laneformer: Object-aware Row-Column Transformers for Lane Detection
We present Laneformer, a conceptually simple yet powerful transformer-ba...
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03/04/2022
EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation
Complete Multi-lingual Neural Machine Translation (C-MNMT) achieves supe...
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03/02/2022
TSAM: A Two-Stream Attention Model for Causal Emotion Entailment
Causal Emotion Entailment (CEE) aims to discover the potential causes be...
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10/29/2021
A hierarchical behavior prediction framework at signalized intersections
Road user behavior prediction is one of the most critical components in ...
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10/11/2021
WeTS: A Benchmark for Translation Suggestion
Translation Suggestion (TS), which provides alternatives for specific wo...
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09/27/2021
Improving Stack Overflow question title generation with copying enhanced CodeBERT model and bi-modal information
Context: Stack Overflow is very helpful for software developers who are ...
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05/28/2021
Focus on Local: Detecting Lane Marker from Bottom Up via Key Point
Mainstream lane marker detection methods are implemented by predicting t...
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03/12/2021
A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts
Code comment has been an important part of computer programs, greatly fa...
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12/14/2020
FlowMOT: 3D Multi-Object Tracking by Scene Flow Association
Most end-to-end Multi-Object Tracking (MOT) methods face the problems of...
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11/16/2020
Manual-Label Free 3D Detection via An Open-Source Simulator
LiDAR based 3D object detectors typically need a large amount of detaile...
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11/05/2020
Universal Multi-Source Domain Adaptation
Unsupervised domain adaptation enables intelligent models to transfer kn...
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10/29/2020
Multiple Sclerosis Severity Classification From Clinical Text
Multiple Sclerosis (MS) is a chronic, inflammatory and degenerative neur...
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10/15/2020
Bi-GCN: Binary Graph Convolutional Network
Graph Neural Networks (GNNs) have achieved tremendous success in graph r...
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10/10/2020
Unveiling Class-Labeling Structure for Universal Domain Adaptation
As a more practical setting for unsupervised domain adaptation, Universa...
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09/17/2020
Code-switching pre-training for neural machine translation
This paper proposes a new pre-training method, called Code-Switching Pre...
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05/20/2020
Understanding Negative Sampling in Graph Representation Learning
Graph representation learning has been extensively studied in recent yea...
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04/23/2020
Metric-Learning-Assisted Domain Adaptation
Domain alignment (DA) has been widely used in unsupervised domain adapta...
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04/07/2020
Optimized Energy and Information Relaying in Self-Sustainable IRS-Empowered WPCN
This paper proposes a hybrid-relaying scheme empowered by a self-sustain...
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02/05/2020
Entropy Minimization vs. Diversity Maximization for Domain Adaptation
Entropy minimization has been widely used in unsupervised domain adaptat...
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08/19/2019
LabelECG: A Web-based Tool for Distributed Electrocardiogram Annotation
Electrocardiography plays an essential role in diagnosing and screening ...
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04/21/2019
Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions
The new demands for high-reliability and ultra-high capacity wireless co...
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07/03/2018
Secure Transmission to the Strong User with Optimal Power Allocation in NOMA
With non-orthogonal multiple access(NOMA), we tackle the maximization of...
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06/25/2018
Beamforming Design and Power Allocation for Secure Transmission with NOMA
In this work, we propose a novel beamforming design to enhance physical ...
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04/24/2018
Unsupervised Neural Machine Translation with Weight Sharing
Unsupervised neural machine translation (NMT) is a recently proposed app...
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09/09/2017
Learning a Dilated Residual Network for SAR Image Despeckling
In this letter, to break the limit of the traditional linear models for ...
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05/30/2017
Decorrelation of Neutral Vector Variables: Theory and Applications
In this paper, we propose novel strategies for neutral vector variable d...
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03/15/2017