Alignment-enriched tuning for patch-level pre-trained document image models

Alignment-enriched tuning for patch-level pre-trained document image models

Alignment between image and text has shown promising im provements on patch-level pre-trained document image mod els. However, investigating more effective or finer-grained alignment techniques during pre-training requires a large amount of computation cost and time. Thus, a question natu rally aris...

Saved in:

書目詳細資料
Main Authors:	WANG, Lei, HE, Jiabang, XU, Xing, LIU, Ning, LIU, Hui
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2023
主題:	Artificial Intelligence and Robotics Databases and Information Systems
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/9318 https://ink.library.smu.edu.sg/context/sis_research/article/10318/viewcontent/Alignment_Enriched_pv.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Singapore Management University
語言:	English

相似書籍

Mitigating fine-grained hallucination by fine-tuning large vision-language models with caption rewrites
由: WANG, Lei, et al.
出版: (2024)

ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction
由: HE, Jiabang, et al.
出版: (2023)

NumGPT: Improving numeracy ability of generative pre-trained models
由: JIN, Zhihua, et al.
出版: (2023)

ROME: Evaluating pre-trained vision-language models on reasoning beyond visual common sense
由: ZHOU, Kankan, et al.
出版: (2023)

Cross-domain graph anomaly detection via anomaly-aware contrastive alignment
由: WANG, Qizhou, et al.
出版: (2023)

Dynamic topic models for temporal document networks
由: ZHANG, Ce, et al.
出版: (2022)

Do-GOOD: Towards distribution shift evaluation for pre-trained visual document understanding models
由: HE, Jiabang, et al.
出版: (2023)

Spectral tensor train parameterization of deep learning layers
由: OBUKHOV, A., et al.
出版: (2021)

Aligning AI towards positive societal impact
由: Robes, John Laurence
出版: (2024)

Self-supervised multi-class pre-training for unsupervised anomaly detection and segmentation in medical images
由: TIAN, Yu, et al.
出版: (2021)

An approach for self-training audio event detectors using web data
由: ELIZALDE, Benjamin, et al.
出版: (2017)

Self-supervised fine-tuning for neural expert finding
由: SUBAGDJA, Budhitama, et al.
出版: (2024)

A recommendation system approach to tune a QUBO solver
由: GOH, Siong Thye, et al.
出版: (2022)

RMM: Reinforced memory management for class-incremental learning
由: LIU, Yaoyao, et al.
出版: (2021)

Goal awareness for conversational AI: Proactivity, non-collaborativity, and beyond
由: DENG, Yang, et al.
出版: (2023)

Online hyperparameter optimization for class-incremental learning
由: LIU, Yaoyao, et al.
出版: (2023)

Guest editorial: Non-IID outlier detection in complex contexts
由: PANG, Guansong, et al.
出版: (2021)

Identifying outlier opinions in an online intelligent argumentation system
由: ARVAPALLY, R., et al.
出版: (2017)

Dual-SLAM: A framework for robust single camera navigation
由: HUANG, Huajian, et al.
出版: (2020)

Towards enriching responses with crowd-sourced knowledge for task-oriented dialogue
由: HE, Yingxu, et al.
出版: (2021)

RecipeGPT: Generative pre-training based cooking recipe generation and evaluation system
由: LEE, Helena Huey Chong, et al.
出版: (2020)

On machine learning methods for Chinese document classification
由: HE, Ji, et al.
出版: (2003)

Modularized zero-shot VQA with pre-trained models
由: CAO, Rui, et al.
出版: (2023)

Collective prompt tuning with relation inference for document-level relation extraction
由: YUAN, Changsen, et al.
出版: (2023)

A unified dialogue user simulator for few-shot data augmentation
由: WAN, Dazhen, et al.
出版: (2022)

Machine comprehension using match-LSTM and answer pointer
由: WANG, Shuohang, et al.
出版: (2017)

Effect of Quality Management Practices in Distributed Offshore Software Development: An Empirical Analysis
由: RAMASUBBU, Narayan, et al.
出版: (2004)

An LSTM model for cloze-style machine comprehension
由: WANG, Shuohang, et al.
出版: (2018)

Causal intervention for weakly-supervised semantic segmentation
由: ZHANG Dong,, et al.
出版: (2020)

Neural multimodal belief tracker with adaptive attention for dialogue systems
由: ZHANG, Zheng, et al.
出版: (2019)

Using constraint programming and graph representation learning for generating interpretable cloud security policies
由: KAZDAGLI, Mikhail, et al.
出版: (2022)

Trajectory similarity learning with auxiliary supervision and optimal matching
由: ZHANG, Hanyuan, et al.
出版: (2020)

Enhancing recursive supervised learning using clustering and combinatorial optimization (RSL-CC)
由: RAMANATHAN, Kiruthika, et al.
出版: (2008)

Integrating motivated learning and k-winner-take-all to coordinate multi-agent reinforcement learning
由: TENG, Teck-Hou, et al.
出版: (2014)

Preface: WI 2015
由: TAN, Ah-Hwee, et al.
出版: (2015)

Preface IAT 2015
由: TAN, Ah-hwee, et al.
出版: (2015)

Preface to WI-IAT 2015 workshops and demo/posters
由: TAN, Ah-hwee, et al.
出版: (2015)

Silver assistants for aging-in-place
由: WANG, Di, et al.
出版: (2015)

Towards intelligent caring agents for Aging-In-Place: Issues and challenges
由: WANG, Di, et al.
出版: (2014)

Non-intrusive robust human activity recognition for diverse age groups
由: WANG, Di, et al.
出版: (2015)