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A Simple yet Effective Framework for Active Learning to Rank
期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 169-183
作者:
Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Dejing Dou, Dawei Yin
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浏览/下载:1/0
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提交时间:2024/01/25
Search, information retrieval, learning to rank, active learning, query by committee
Projection of Future Climate Change and Its Influence on Surface Runoff of the Upper Yangtze River Basin, China
期刊论文
ATMOSPHERE, 2023, 卷号: 14, 期号: 10, 页码: 39
作者:
Wan, Hanli
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浏览/下载:0/0
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提交时间:2024/02/27
climate change
hydroclimatic variables
runoff
the upper Yangtze River basin
spatio-temporal variability
Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 9, 页码: 4616-4629
作者:
Ma, Chengcheng
;
Liu, Yang
;
Deng, Jiankang
;
Xie, Lingxi
;
Dong, Weiming
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浏览/下载:2/0
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提交时间:2023/11/16
Vision-language model
prompt tuning
over-fitting
subspace learning
gradient projection
TENET: Beyond Pseudo-Labeling for Semi-supervised Few-shot Learning
期刊论文
Machine Intelligence Research, 2023, 页码: 0
作者:
Ma CC(马成丞)
;
Dong WM(董未名)
;
Xu CS(徐常胜)
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浏览/下载:0/0
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提交时间:2024/01/29
Semi-supervised few-shot learning
few-shot learning
pseudo-labeling
linear regression
low-rank reconstruction
Affine Subspace Robust Low-Rank Self-Representation: From Matrix to Tensor
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 9357-9373
作者:
Tang, Yongqiang
;
Xie, Yuan
;
Zhang, Wensheng
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  |  
浏览/下载:2/0
  |  
提交时间:2023/11/17
Affine subspace
low-rank representation
low-rank tensor
multi-view learning
subspace clustering
Critical features identification for chemical chronic toxicity based on mechanistic forecast models
期刊论文
ENVIRONMENTAL POLLUTION, 2022, 卷号: 307, 页码: 8
作者:
Wang, Xiaoqing
;
Li, Fei
;
Chen, Jingwen
;
Teng, Yuefa
;
Ji, Chenglong
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浏览/下载:24/0
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提交时间:2022/07/26
Computational toxicology
Machine learning
Structural alerts
Risk assessment
Prioritization rank
Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival risk
期刊论文
TRANSLATIONAL LUNG CANCER RESEARCH, 2022, 页码: 23
作者:
He, Bing-Xi
;
Zhong, Yi-Fan
;
Zhu, Yong-Bei
;
Deng, Jia-Jun
;
Fang, Meng-Jie
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浏览/下载:29/0
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提交时间:2022/06/10
Tumor biomarkers
immunotherapy
lung neoplasms
programmed cell death 1 receptor (PD-1 receptor)
biostatistics
Structure-aware siamese graph neural networks for encounter-level patient similarity learning
期刊论文
JOURNAL OF BIOMEDICAL INFORMATICS, 2022, 卷号: 127, 页码: 13
作者:
Gu, Yifan
;
Yang, Xuebing
;
Tian, Lei
;
Yang, Hongyu
;
Lv, Jicheng
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浏览/下载:17/0
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提交时间:2022/06/10
Encounter-Level Patient Similarity
Representation Learning
Siamese Networks
Graph Neural Networks
Evolving Metric Learning for Incremental and Decremental Features
期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2022, 卷号: 32, 期号: 4, 页码: 2290-2302
作者:
Dong JH(董家华)
;
Cong Y(丛杨)
;
Sun G(孙干)
;
Zhang T(张涛)
;
Tang X(唐旭)
收藏
  |  
浏览/下载:12/0
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提交时间:2021/08/28
Data models
Extraterrestrial measurements
Feature extraction
instance and feature evolutions
low-rank constraint
Measurement
Online metric learning
Optimization
Robot sensing systems
smoothed Wasserstein distance
Task analysis
Deep Neural Network Self-Distillation Exploiting Data Representation Invariance
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 1, 页码: 257-269
作者:
Xu, Ting-Bing
;
Liu, Cheng-Lin
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  |  
浏览/下载:11/0
  |  
提交时间:2022/02/16
Training
Nonlinear distortion
Data models
Neural networks
Knowledge engineering
Network architecture
Generalization error
network compression
representation invariance
self-distillation (SD)
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