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Structured IB: Improving Information Bottleneck with Structured Feature Learning
会议论文
PROCEEDINGS OF THE AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, Philadelphia, PA, United states, February 25, 2025 - March 4, 2025
作者:
Yang, Hanzhe
;
Wu, Youlong
;
We, Dingzhu
;
Zhou, Yong
;
Shi, Yuanming
Adobe PDF(486Kb)
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收藏
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浏览/下载:10/1
|
提交时间:2025/06/17
Cluster analysis
Deep neural networks
Digital arithmetic
Document Clustering
Feature learning
Generalisation
Images segmentations
Information bottleneck
Information bottleneck principles
Interpretability
Lagrangian methods
Neural-networks
Structured information
Information Bottleneck
Representation Learning
Information Theory
Machine Learning
Generalizable Single-View Object Pose Estimation by Two-Side Generating and Matching
会议论文
2025 IEEE/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), Tucson, AZ, USA, 26 Feb.-6 March 2025
作者:
Yujing Sun
;
Caiyi Sun
;
Yuan Liu
;
Yuexin Ma
;
Siu Ming Yiu
Adobe PDF(6573Kb)
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收藏
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浏览/下载:59/13
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提交时间:2025/04/14
Estimation methods
Generalisation
Matchings
Object pose
Pose-estimation
Reference image
RGB images
Traditional approaches
Traditional approachs
Training data
Domain generalization for mammographic image analysis with contrastive learning
期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2025, 卷号: 185
作者:
Li, Zheren
;
Cui, Zhiming
;
Zhang, Lichi
;
Wang, Sheng
;
Lei, Chenjin
Adobe PDF(2356Kb)
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收藏
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浏览/下载:309/63
|
提交时间:2024/12/27
Mammography
Unsupervised learning
Computer-aided
Domain generalization
Generalisation
Image analyze
Image-analysis
Large data
Learning models
Learning techniques
Mammographic image analysis
Multi-views
Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind Image Super-Resolution Supplementary Material
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2025, 卷号: PP, 期号: 99
作者:
Jiang Yuan
;
Ji Ma
;
Bo Wang
;
Weiming Hu
Adobe PDF(28427Kb)
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收藏
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浏览/下载:60/9
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提交时间:2025/04/14
Application range
Blind Super
resolution
Degradation adaptation
Degradation model
Generalisation
Image features
Image super resolutions
Implicit degradation learning
Model
based OPC
Negative
free contrastive learning
PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts
会议论文
LECTURE NOTES IN COMPUTER SCIENCE, Milan, Italy, September 29, 2024 - October 4, 2024
作者:
Chen, Zewen
;
Qin, Haina
;
Wang, Juan
;
Yuan, Chunfeng
;
Li, Bing
收藏
|
浏览/下载:29/0
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提交时间:2025/05/09
Application scenario
Assessment requirement
Fine tuning
Generalisation
Image quality assessment
Image
score pair
No
reference images
NR
IQA
Performance
Without fine
tuning
Disassembling one-dimensional chains in molybdenum oxides
期刊论文
CHINESE PHYSICS B, 2024, 卷号: 33, 期号: 12
作者:
Du, Xian
Adobe PDF(1552Kb)
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浏览/下载:172/2
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提交时间:2024/12/27
Charge density waves
Density (optical)
Density of liquids
Layered semiconductors
Light sensitive materials
Quantum electronics
Quantum optics
Charge-density-waves
Density-functional-theory
Electronic.structure
Emergent phenomenon
Generalisation
Luttinger-liquid behavior
One dimension
One-dimensional chains
One-dimensional systems
Property
Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models
会议论文
PROCEEDINGS OF THE ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, Bangkok, Thailand, August 11, 2024 - August 16, 2024
作者:
Zhao, Yida
;
Lou, Chao
;
Tu, Kewei
Adobe PDF(559Kb)
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收藏
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浏览/下载:344/5
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提交时间:2024/10/11
Context free grammars
Context sensitive grammars
Formal languages
Modeling languages
Syntactics
Dependency structures
Dependency trees
Embeddings
Encodings
Generalisation
Inductive bias
Language model
Syntax tree
Transition system
UNDERSTANDING CONVERGENCE AND GENERALIZATION IN FEDERATED LEARNING THROUGH FEATURE LEARNING THEORY
会议论文
12TH INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS, ICLR 2024, Hybrid, Vienna, Austria, May 7, 2024 - May 11, 2024
作者:
Huang, Wei
;
Shi, Ye
;
Cai, Zhongyi
;
Suzuki, Taiji
收藏
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浏览/下载:284/0
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提交时间:2024/08/23
Convolutional neural networks
Machine learning
Multilayer neural networks
Network layers
Privacy-preserving techniques
Convergence properties
Distributed learning
Empirical research
Feature learning
Generalisation
Learning Theory
Local training
Multiple clients
Privacy preserving
Test errors
Harmonizing Generalization and Personalization in Federated Prompt Learning
会议论文
INTERNATIONAL CONFERENCE ON MACHINE LEARNING, Vienna, Austria, July 21, 2024 - July 27, 2024
作者:
Cui, Tianyu
;
Li, Hongxia
;
Wang, Jingya
;
Shi, Ye
Adobe PDF(854Kb)
|
收藏
|
浏览/下载:256/6
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提交时间:2024/10/11
Adversarial machine learning
Contrastive Learning
Self-supervised learning
Transfer learning
Visual languages
Data heterogeneity
Domain levels
Generalisation
Generalization capability
Generalization capacity
Heterogeneous data
Knowledge guidances
Language model
Modeling abilities
Personalizations
Exploring Base-Class Suppression with Prior Guidance for Bias-Free One-Shot Object Detection
会议论文
PROCEEDINGS OF THE AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, Vancouver, BC, Canada, February 20, 2024 - February 27, 2024
作者:
Zhang, Wenwen
;
Hu, Yun
;
Shan, Hangguan
;
Liu, Eryun
Adobe PDF(15771Kb)
|
收藏
|
浏览/下载:573/114
|
提交时间:2024/04/26
Artificial intelligence
Object recognition
Semantics
Base class
Generalisation
High-level features
Image correlations
Model bias
Nonparametrics
Novel algorithm
Objects detection
Query images
Query information
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