b'Kai Wang'

research

∙ 09/12/2023

Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning

Continuous unsupervised representation learning (CURL) research has grea...

0 Alex Gomez-Villa, et al. ∙

research

∙ 09/10/2023

Boosting Unsupervised Contrastive Learning Using Diffusion-Based Data Augmentation From Scratch

Unsupervised contrastive learning methods have recently seen significant...

0 Zelin Zang, et al. ∙

research

∙ 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...

0 Shuting He, et al. ∙

research

∙ 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 ...

0 Shanshan Tang, et al. ∙

research

∙ 08/31/2023

ScrollNet: Dynamic Weight Importance for Continual Learning

The principle underlying most existing continual learning (CL) methods i...

0 Fei Yang, et al. ∙

research

∙ 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...

0 Jianyang Gu, et al. ∙

research

∙ 08/21/2023

Dataset Quantization

State-of-the-art deep neural networks are trained with large amounts (mi...

0 Daquan Zhou, et al. ∙

research

∙ 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...

0 Jingye Yang, et al. ∙

research

∙ 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...

0 Leiming Chen, et al. ∙

research

∙ 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...

0 Along He, et al. ∙

research

∙ 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...

0 Mahsa Noroozi, et al. ∙

research

∙ 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...

0 Feng Liu, et al. ∙

research

∙ 06/01/2023

Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs

Bipartite graphs model relationships between two different sets of entit...

0 Xinwei Cai, et al. ∙

research

∙ 05/29/2023

Generating Driving Scenes with Diffusion

In this paper we describe a learned method of traffic scene generation d...

0 Ethan Pronovost, et al. ∙

research

∙ 05/26/2023

Summarizing Stream Data for Memory-Restricted Online Continual Learning

Replay-based methods have proved their effectiveness on online continual...

0 Jianyang Gu, et al. ∙

research

∙ 05/24/2023

SAMScore: A Semantic Structural Similarity Metric for Image Translation Evaluation

Image translation has wide applications, such as style transfer and moda...

0 Yunxiang Li, et al. ∙

research

∙ 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...

0 Kai Wang, et al. ∙

research

∙ 05/04/2023

Extreme Limit Theory of Competing Risks under Power Normalization

Advanced science and technology provide a wealth of big data from differ...

0 Kaihao Hu, et al. ∙

research

∙ 04/06/2023

Zero-shot Generative Model Adaptation via Image-specific Prompt Learning

Recently, CLIP-guided image synthesis has shown appealing performance on...

0 Jiayi Guo, et al. ∙

research

∙ 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...

0 Jubo Yu, et al. ∙

research

∙ 04/03/2023

On the Prime Number Divisibility by Deep Learning

Certain tasks such as determining whether a given integer can be divided...

0 Da Wu, et al. ∙

research

∙ 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...

0 Eric Zhang, et al. ∙

research

∙ 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-...

0 Shuo Yang, et al. ∙

research

∙ 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...

0 Marwa Dhiaf, et al. ∙

research

∙ 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...

0 Zangwei Zheng, et al. ∙

research

∙ 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...

0 Ziheng Qin, et al. ∙

research

∙ 03/08/2023

DiM: Distilling Dataset into Generative Model

Dataset distillation reduces the network training cost by synthesizing s...

0 Kai Wang, et al. ∙

research

∙ 02/28/2023

DREAM: Efficient Dataset Distillation by Representative Matching

Dataset distillation aims to generate small datasets with little informa...

0 Yanqing Liu, et al. ∙

research

∙ 02/27/2023

Minimizing the Influence of Misinformation via Vertex Blocking

Information cascade in online social networks can be rather negative, e....

0 Jiadong Xie, et al. ∙

research

∙ 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...

0 Kai Wang, et al. ∙

research

∙ 02/03/2023

Bioformer: an efficient transformer language model for biomedical text mining

Pretrained language models such as Bidirectional Encoder Representations...

0 Li Fang, et al. ∙

research

∙ 11/25/2022

Expanding Small-Scale Datasets with Guided Imagination

The power of Deep Neural Networks (DNNs) depends heavily on the training...

0 Yifan Zhang, et al. ∙

research

∙ 11/21/2022

Self adaptive global-local feature enhancement for radiology report generation

Automated radiology report generation aims at automatically generating a...

0 Yuhao Wang, et al. ∙

research

∙ 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...

0 Xingqian Xu, et al. ∙

research

∙ 10/30/2022

Dataset Distillation via Factorization

In this paper, we study \xw{dataset distillation (DD)}, from a novel per...

0 Songhua Liu, et al. ∙

research

∙ 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...

0 Ge Fan, et al. ∙

research

∙ 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...

0 Xiang Wang, et al. ∙

research

∙ 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 ...

0 Kai Wang, et al. ∙

research

∙ 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...

0 Kai Wang, et al. ∙

research

∙ 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...

8 Michael Dohopolski, et al. ∙

research

∙ 09/27/2022

RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration

Successful point cloud registration relies on accurate correspondences e...

7 Hao Yu, et al. ∙

research

∙ 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...

0 Kai Wang, et al. ∙

research

∙ 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 ...

0 Yuanchao Bai, et al. ∙

research

∙ 08/18/2022

Prompt Vision Transformer for Domain Generalization

Though vision transformers (ViTs) have exhibited impressive ability for ...

0 Zangwei Zheng, et al. ∙

research

∙ 08/15/2022

QuickSkill: Novice Skill Estimation in Online Multiplayer Games

Matchmaking systems are vital for creating fair matches in online multip...

0 Chaoyun Zhang, et al. ∙

research

∙ 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...

0 Shiqi Yang, et al. ∙

research

∙ 05/31/2022

Skeleton-based Action Recognition via Temporal-Channel Aggregation

Skeleton-based action recognition methods are limited by the semantic ex...

0 Shengqin Wang, et al. ∙

research

∙ 05/31/2022

Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion Segmentation

Effectively integrating multi-scale information is of considerable signi...

14 Along He, et al. ∙

research

∙ 05/30/2022

Optimistic Whittle Index Policy: Online Learning for Restless Bandits

Restless multi-armed bandits (RMABs) extend multi-armed bandits to allow...

13 Kai Wang, et al. ∙

research

∙ 05/28/2022

Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors

Domain Adaptation of Black-box Predictors (DABP) aims to learn a model o...

0 Jianfei Yang, et al. ∙

Kai Wang

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