- Qiuhong Zhai, Wenhao Zhu, Xiaoyu Zhang, Chenyun Liu:
Contrastive Refinement for Dense Retrieval Inference in the Open-Domain Question Answering Task. Future Internet 15(4): 137 (2023) - Pengfang Li, Fang Liu, Licheng Jiao, Lingling Li, Puhua Chen, Shuo Li:
Task context transformer and GCN for few-shot learning of cross-domain. Neurocomputing 548: 126433 (2023) - Shanchen Pang, Kuijie Zhang, Gan Wang, Jerry Chun-Wei Lin, Fuyu Wang, Xiangyu Meng, Shudong Wang, Yuanyuan Zhang:
AF-GCN: Completing various graph tasks efficiently via adaptive quadratic frequency response function in graph spectral domain. Inf. Sci. 623: 469-480 (2023) - Xiyao Liu, Zhong Ji, Yanwei Pang, Zhi Han:
Self-taught cross-domain few-shot learning with weakly supervised object localization and task-decomposition. Knowl. Based Syst. 265: 110358 (2023) - Meng Zhao, Lifang Wang, Hongru Ji, Zejun Jiang, Ronghan Li, Xinyu Lu, Zhongtian Hu:
Mutually improved response generation and dialogue summarization for multi-domain task-oriented dialogue systems. Knowl. Based Syst. 279: 110927 (2023) - Meng Zhao, Lifang Wang, Zejun Jiang, Ronghan Li, Xinyu Lu, Zhongtian Hu:
Multi-task learning with graph attention networks for multi-domain task-oriented dialogue systems. Knowl. Based Syst. 259: 110069 (2023) - Xue Li, Jun Huang, Cuiting Wang, Xiaxia Yu, Tianhao Zhao, Chuan Huang, Yi Gao:
Expectation-maximization algorithm leads to domain adaptation for a perineural invasion and nerve extraction task in whole slide digital pathology images. Medical Biol. Eng. Comput. 61(2): 457-473 (2023) - Shuang Liu, Mete Ozay:
Task guided representation learning using compositional models for zero-shot domain adaptation. Neural Networks 165: 370-380 (2023) - Chen-Hao Chao, Bo-Wun Cheng, Tzu-Wen Wang, Huang-Ru Liao, Chun-Yi Lee:
Rainbow UDA: Combining Domain Adaptive Models for Semantic Segmentation Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12707-12713 (2023) - Weiqin Chuah, Ruwan B. Tennakoon, Reza Hoseinnezhad, David Suter, Alireza Bab-Hadiashar:
An Information-Theoretic Method to Automatic Shortcut Avoidance and Domain Generalization for Dense Prediction Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10615-10631 (2023) - Pierluigi Zama Ramirez, Adriano Cardace, Luca De Luigi, Alessio Tonioni, Samuele Salti, Luigi Di Stefano:
Learning Good Features to Transfer Across Tasks and Domains. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9981-9995 (2023) - Shuojin Yang, Zhanchuan Cai:
Cross Domain Lifelong Learning Based on Task Similarity. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11612-11623 (2023) - Iacopo Ghinassi, Lin Wang, Chris Newell, Matthew Purver:
Comparing neural sentence encoders for topic segmentation across domains: not your typical text similarity task. PeerJ Comput. Sci. 9: e1593 (2023) - Yukun Zhang, Xiansheng Guo, Henry Leung, Lin Li:
Cross-task and cross-domain SAR target recognition: A meta-transfer learning approach. Pattern Recognit. 138: 109402 (2023) - Jintao Chen, Yan Zhang, Kun Huang, Feifan Ma, Zhuangbin Tan, Zheyu Xu:
Self-Supervised Boundary Point Prediction Task for Point Cloud Domain Adaptation. IEEE Robotics Autom. Lett. 8(9): 5878-5885 (2023) - Jessica Pitts, Lakshmi Kannan, Tanvi Bhatt:
Cognitive Task Domain Influences Cognitive-Motor Interference during Large-Magnitude Treadmill Stance Perturbations. Sensors 23(18): 7746 (2023) - Toygun Basaklar, A. Alper Goksoy, Anish Krishnakumar, Suat Gumussoy, Ümit Y. Ogras:
DTRL: Decision Tree-based Multi-Objective Reinforcement Learning for Runtime Task Scheduling in Domain-Specific System-on-Chips. ACM Trans. Embed. Comput. Syst. 22(5s): 113:1-113:22 (2023) - Sara Tandon, Alfie Abdul-Rahman, Rita Borgo:
Measuring Effects of Spatial Visualization and Domain on Visualization Task Performance: A Comparative Study. IEEE Trans. Vis. Comput. Graph. 29(1): 668-678 (2023) - Gaël Guibon, Matthieu Labeau, Luce Lefeuvre, Chloé Clavel:
An Adaptive Layer to Leverage Both Domain and Task Specific Information from Scarce Data. AAAI 2023: 7757-7765 - Fengyi Yang, Xi Zhou, Yating Yang, Bo Ma, Rui Dong, Abibulla Atawulla:
A Domain-Transfer Meta Task Design Paradigm for Few-Shot Slot Tagging. AAAI 2023: 13887-13895 - Qiannan Zhang, Shichao Pei, Qiang Yang, Chuxu Zhang, Nitesh V. Chawla, Xiangliang Zhang:
Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator. AAAI 2023: 4893-4901 - Weiqin Zhao, Shujun Wang, Maximus Yeung, Tianye Niu, Lequan Yu:
MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis. AAAI 2023: 3606-3614 - Brihat Sharma, Yanjun Gao, Timothy A. Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach:
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. ClinicalNLP@ACL 2023: 78-85 - Sitong Zhou, Meliha Yetisgen, Mari Ostendorf:
Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts. ClinicalNLP@ACL 2023: 344-357 - Hao Cheng, Hao Fang, Xiaodong Liu, Jianfeng Gao:
Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering. ACL (2) 2023: 1864-1875 - Ruiqing Ding, Xiao Han, Leye Wang:
A Unified Knowledge Graph Augmentation Service for Boosting Domain-specific NLP Tasks. ACL (Findings) 2023: 353-369 - Mahshid Hosseini, Cornelia Caragea:
Semi-Supervised Domain Adaptation for Emotion-Related Tasks. ACL (Findings) 2023: 5402-5410 - Chia-Chien Hung, Lukas Lange, Jannik Strötgen:
TADA: Efficient Task-Agnostic Domain Adaptation for Transformers. ACL (Findings) 2023: 487-503 - Jonathan J. Hüser, Judith Gaspers, Thomas Gueudré, Chandana Satya Prakash, Jin Cao, Daniil Sorokin, Quynh Do, Nicolas Anastassacos, Tobias Falke, Turan Gojayev:
Sharing Encoder Representations across Languages, Domains and Tasks in Large-Scale Spoken Language Understanding. ACL (industry) 2023: 447-456 - Xing Ma, Peng Zhang, Feifei Zhao:
Domain-specific Attention with Distributional Signatures for Multi-Domain End-to-end Task-Oriented Dialogue. ACL (Findings) 2023: 3109-3122