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Publication search results
found 978 matches
- 2024
- Irik Z. Mukhametzyanov:
Elimination of the Domains' Displacement of the Normalized Values in MCDM Tasks: The IZ-Method. Int. J. Inf. Technol. Decis. Mak. 23(1): 289-326 (2024) - Jingyu Cao, Lu Dong, Xin Yuan, Yuanda Wang, Changyin Sun:
Hierarchical multi-agent reinforcement learning for cooperative tasks with sparse rewards in continuous domain. Neural Comput. Appl. 36(1): 273-287 (2024) - Umberto Michieli, Mete Ozay:
HOP to the Next Tasks and Domains for Continual Learning in NLP. AAAI 2024: 14359-14369 - Jingyuan Qi, Minqian Liu, Ying Shen, Zhiyang Xu, Lifu Huang:
MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks. AAAI 2024: 18888-18896 - Jiamin Wu, Xin Liu, Xiaotian Yin, Tianzhu Zhang, Yongdong Zhang:
Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning. AAAI 2024: 6012-6020 - Yi Xin, Junlong Du, Qiang Wang, Ke Yan, Shouhong Ding:
MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning. AAAI 2024: 16076-16084 - Tim Tarsi, Heike Adel, Jan Hendrik Metzen, Dan Zhang, Matteo Finco, Annemarie Friedrich:
SciOL and MuLMS-Img: Introducing A Large-Scale Multimodal Scientific Dataset and Models for Image-Text Tasks in the Scientific Domain. WACV 2024: 4548-4559 - Laura Niss, Kevin Vogt-Lowell, Theodoros Tsiligkaridis:
Quantified Task Misalignment to Inform PEFT: An Exploration of Domain Generalization and Catastrophic Forgetting in CLIP. CoRR abs/2402.09613 (2024) - Minju Seo, Jinheon Baek, James Thorne, Sung Ju Hwang:
Retrieval-Augmented Data Augmentation for Low-Resource Domain Tasks. CoRR abs/2402.13482 (2024) - Umberto Michieli, Mete Ozay:
HOP to the Next Tasks and Domains for Continual Learning in NLP. CoRR abs/2402.18449 (2024) - Max van Haren, Kentaro Tsurumoto, Masahiro Mae, Lennart Blanken, Wataru Ohnishi, Tom Oomen:
A Frequency-Domain Approach for Enhanced Performance and Task Flexibility in Finite-Time ILC. CoRR abs/2403.02039 (2024) - Nicolas Brieu, Nicolas Triltsch, Philipp Wortmann, Dominik Winter, Shashank Saran, Marlon Rebelatto, Günter Schmidt:
Auxiliary CycleGAN-guidance for Task-Aware Domain Translation from Duplex to Monoplex IHC Images. CoRR abs/2403.07389 (2024) - Yuexi Chen, Vlad I. Morariu, Anh Truong, Zhicheng Liu:
TutoAI: A Cross-domain Framework for AI-assisted Mixed-media Tutorial Creation on Physical Tasks. CoRR abs/2403.08049 (2024) - Yukun Li, Guansong Pang, Wei Suo, Chenchen Jing, Yuling Xi, Lingqiao Liu, Hao Chen, Guoqiang Liang, Peng Wang:
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning. CoRR abs/2403.10245 (2024) - Yang Bai, Anthony M. Colas, Christan Grant, Daisy Zhe Wang:
M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval. CoRR abs/2403.14074 (2024) - Ashok Urlana, Aditya Saibewar, Bala Mallikarjunarao Garlapati, Charaka Vinayak Kumar, Ajeet Kumar Singh, Srinivasa Rao Chalamala:
TrustAI at SemEval-2024 Task 8: A Comprehensive Analysis of Multi-domain Machine Generated Text Detection Techniques. CoRR abs/2403.16592 (2024) - Atsumoto Ohashi, Ryu Hirai, Shinya Iizuka, Ryuichiro Higashinaka:
JMultiWOZ: A Large-Scale Japanese Multi-Domain Task-Oriented Dialogue Dataset. CoRR abs/2403.17319 (2024) - 2023
- David Brüggemann:
Variable Tasks and Domains in Dense Prediction. ETH Zurich, Zürich, Switzerland, 2023 - Marvin Klingner:
Multi-Task and Multi-Domain Learning for Semantic Segmentation and Depth Estimation: Offline and Online Methods. Braunschweig University of Technology, Germany, 2023 - Gusti Ahmad Fanshuri Alfarisy, Owais Ahmed Malik, Ong Wee Hong:
Quad-Channel Contrastive Prototype Networks for Open-Set Recognition in Domain-Specific Tasks. IEEE Access 11: 48578-48592 (2023) - Ba Hung Ngo, Yeon Jeong Chae, So Jeong Park, Ju Hyun Kim, Sung In Cho:
Multiple Tasks-Based Multi-Source Domain Adaptation Using Divide-and-Conquer Strategy. IEEE Access 11: 134969-134985 (2023) - Mingge Shen, Dehu Chen, Teng Ren:
Meta-Learning Based Tasks Similarity Representation for Cross Domain Lifelong Learning. IEEE Access 11: 36692-36701 (2023) - Jun Wang, Suyi Li:
Building Intelligence in the Mechanical Domain - Harvesting the Reservoir Computing Power in Origami to Achieve Information Perception Tasks. Adv. Intell. Syst. 5(9) (2023) - Hui Sun, Ming Li:
Enhancing unsupervised domain adaptation by exploiting the conceptual consistency of multiple self-supervised tasks. Sci. China Inf. Sci. 66(4) (2023) - Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan L. Yuille, Hongjing Lu:
Two Computational Approaches to Visual Analogy: Task-Specific Models Versus Domain-General Mapping. Cogn. Sci. 47(9) (2023) - Suman Dowlagar, Radhika Mamidi:
A code-mixed task-oriented dialog dataset for medical domain. Comput. Speech Lang. 78: 101449 (2023) - Golshid Ranjbaran, Diego Reforgiato Recupero, Gianfranco Lombardo, Sergio Consoli:
Leveraging augmentation techniques for tasks with unbalancedness within the financial domain: a two-level ensemble approach. EPJ Data Sci. 12(1): 24 (2023) - Cheoneum Park, Seohyeong Jeong, Juae Kim:
ADMit: Improving NER in automotive domain with domain adversarial training and multi-task learning. Expert Syst. Appl. 225: 120007 (2023) - Xing Wei, Bin Wen, Fan Yang, Yujie Liu, Chong Zhao, Di Hu, Hui Luo:
Task-oriented contrastive learning for unsupervised domain adaptation. Expert Syst. Appl. 229(Part A): 120471 (2023) - Shaolei Liu, Xiaoyuan Luo, Kexue Fu, Manning Wang, Zhijian Song:
A learnable self-supervised task for unsupervised domain adaptation on point cloud classification and segmentation. Frontiers Comput. Sci. 17(6): 176708 (2023)
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