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09/12/2023
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
Continuous unsupervised representation learning (CURL) research has grea...
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09/10/2023
Boosting Unsupervised Contrastive Learning Using Diffusion-Based Data Augmentation From Scratch
Unsupervised contrastive learning methods have recently seen significant...
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09/07/2023
Region Generation and Assessment Network for Occluded Person Re-Identification
Person Re-identification (ReID) plays a more and more crucial role in re...
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09/05/2023
Recurrence-Free Survival Prediction for Anal Squamous Cell Carcinoma Chemoradiotherapy using Planning CT-based Radiomics Model
Objectives: Approximately 30 (ASCC) patients will experience recurrence ...
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08/31/2023
ScrollNet: Dynamic Weight Importance for Continual Learning
The principle underlying most existing continual learning (CL) methods i...
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08/21/2023
Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-Identification
Unsupervised domain adaptive person re-identification (Re-ID) methods al...
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08/21/2023
Dataset Quantization
State-of-the-art deep neural networks are trained with large amounts (mi...
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08/11/2023
Enhancing Phenotype Recognition in Clinical Notes Using Large Language Models: PhenoBCBERT and PhenoGPT
We hypothesize that large language models (LLMs) based on the transforme...
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07/25/2023
FedDRL: A Trustworthy Federated Learning Model Fusion Method Based on Staged Reinforcement Learning
Traditional federated learning uses the number of samples to calculate t...
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07/19/2023
DVPT: Dynamic Visual Prompt Tuning of Large Pre-trained Models for Medical Image Analysis
Limited labeled data makes it hard to train models from scratch in medic...
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07/18/2023
Implementation and Evaluation of Networked Model Predictive Control System on Universal Robot
Networked control systems are closed-loop feedback control systems conta...
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06/29/2023
FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude
Whole-body biometric recognition is an important area of research due to...
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06/01/2023
Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs
Bipartite graphs model relationships between two different sets of entit...
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05/29/2023
Generating Driving Scenes with Diffusion
In this paper we describe a learned method of traffic scene generation d...
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05/26/2023
Summarizing Stream Data for Memory-Restricted Online Continual Learning
Replay-based methods have proved their effectiveness on online continual...
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05/24/2023
SAMScore: A Semantic Structural Similarity Metric for Image Translation Evaluation
Image translation has wide applications, such as style transfer and moda...
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05/17/2023
River of No Return: Graph Percolation Embeddings for Efficient Knowledge Graph Reasoning
We study Graph Neural Networks (GNNs)-based embedding techniques for kno...
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05/04/2023
Extreme Limit Theory of Competing Risks under Power Normalization
Advanced science and technology provide a wealth of big data from differ...
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04/06/2023
Zero-shot Generative Model Adaptation via Image-specific Prompt Learning
Recently, CLIP-guided image synthesis has shown appealing performance on...
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04/04/2023
Motion-R3: Fast and Accurate Motion Annotation via Representation-based Representativeness Ranking
In this paper, we follow a data-centric philosophy and propose a novel m...
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04/03/2023
On the Prime Number Divisibility by Deep Learning
Certain tasks such as determining whether a given integer can be divided...
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03/30/2023
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models
The unlearning problem of deep learning models, once primarily an academ...
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03/22/2023
BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency
As one of the most fundamental techniques in multimodal learning, cross-...
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03/16/2023
CSSL-MHTR: Continual Self-Supervised Learning for Scalable Multi-script Handwritten Text Recognition
Self-supervised learning has recently emerged as a strong alternative in...
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03/12/2023
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
Continual learning (CL) can help pre-trained vision-language models effi...
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03/08/2023
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning
Data pruning aims to obtain lossless performances as training on the ori...
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03/08/2023
DiM: Distilling Dataset into Generative Model
Dataset distillation reduces the network training cost by synthesizing s...
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02/28/2023
DREAM: Efficient Dataset Distillation by Representative Matching
Dataset distillation aims to generate small datasets with little informa...
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02/27/2023
Minimizing the Influence of Misinformation via Vertex Blocking
Information cascade in online social networks can be rather negative, e....
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02/13/2023
Spatio-temporal Joint Modelling on Moderate and Extreme Air Pollution in Spain
Very unhealthy air quality is consistently connected with numerous disea...
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02/03/2023
Bioformer: an efficient transformer language model for biomedical text mining
Pretrained language models such as Bidirectional Encoder Representations...
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11/25/2022
Expanding Small-Scale Datasets with Guided Imagination
The power of Deep Neural Networks (DNNs) depends heavily on the training...
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11/21/2022
Self adaptive global-local feature enhancement for radiology report generation
Automated radiology report generation aims at automatically generating a...
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11/15/2022
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
The recent advances in diffusion models have set an impressive milestone...
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10/30/2022
Dataset Distillation via Factorization
In this paper, we study \xw{dataset distillation (DD)}, from a novel per...
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10/14/2022
MV-HAN: A Hybrid Attentive Networks based Multi-View Learning Model for Large-scale Contents Recommendation
Industrial recommender systems usually employ multi-source data to impro...
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10/06/2022
Vision-Based Defect Classification and Weight Estimation of Rice Kernels
Rice is one of the main staple food in many areas of the world. The qual...
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10/04/2022
Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification
Lifelong object re-identification incrementally learns from a stream of ...
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10/03/2022
Attention Distillation: self-supervised vision transformer students need more guidance
Self-supervised learning has been widely applied to train high-quality v...
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10/02/2022
Uncertainty estimations methods for a deep learning model to aid in clinical decision-making – a clinician's perspective
Prediction uncertainty estimation has clinical significance as it can po...
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09/27/2022
RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration
Successful point cloud registration relies on accurate correspondences e...
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09/22/2022
Recurrence-free Survival Prediction under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers
For Head and Neck Cancers (HNC) patient management, automatic gross tumo...
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09/11/2022
Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression
Lossless and near-lossless image compression is of paramount importance ...
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08/18/2022
Prompt Vision Transformer for Domain Generalization
Though vision transformers (ViTs) have exhibited impressive ability for ...
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08/15/2022
QuickSkill: Novice Skill Estimation in Online Multiplayer Games
Matchmaking systems are vital for creating fair matches in online multip...
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06/07/2022
One Ring to Bring Them All: Towards Open-Set Recognition under Domain Shift
In this paper, we investigate open-set recognition with domain shift, wh...
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05/31/2022
Skeleton-based Action Recognition via Temporal-Channel Aggregation
Skeleton-based action recognition methods are limited by the semantic ex...
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05/31/2022
Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion Segmentation
Effectively integrating multi-scale information is of considerable signi...
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05/30/2022
Optimistic Whittle Index Policy: Online Learning for Restless Bandits
Restless multi-armed bandits (RMABs) extend multi-armed bandits to allow...
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05/28/2022
