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Low Resource Multi-Task Sequence Tagging – Revisiting Dynamic Conditional Random Fields [article]

Jonas Pfeiffer, Edwin Simpson, Iryna Gurevych
2020 arXiv   pre-print
We compare different models for low resource multi-task sequence tagging that leverage dependencies between label sequences for different tasks.  ...  To analyze which scenarios can profit from modeling dependencies between labels in different tasks, we revisit dynamic conditional random fields (CRFs) and combine them with deep neural networks.  ...  Many advances in sequence labeling for NLP stem from combining new types of deep neural network (DNN) with conditional random fields (CRFs; Lafferty et al., 2001; Sutton and McCallum, 2012) .  ... 
arXiv:2005.00250v1 fatcat:erpk4aq7lbdm5aslkqsujdv7au

Visual Semantic Landmark-Based Robust Mapping and Localization for Autonomous Indoor Parking

Junqiao Zhao, Yewei Huang, Xudong He, Shaoming Zhang, Chen Ye, Tiantian Feng, Lu Xiong
2019 Sensors  
However, state-of-the-art low-level visual feature-based simultaneous localization and mapping systems (VSLAM) suffer in monotonous or texture-less scenes and under poor illumination or dynamic conditions  ...  The key to this task is precise real-time indoor localization.  ...  Acknowledgments: The authors would like to thank Lin Zhang for the provision of the parking slot detector, and thank Peizhi Zhang, Changzhu Zhang and Tao Zhang for the help during the field test.  ... 
doi:10.3390/s19010161 fatcat:zbsv53mz2ngqfeile2tbo7pv5m

A survey on attention mechanisms for medical applications: are we moving towards better algorithms? [article]

Tiago Gonçalves, Isabel Rio-Torto, Luís F. Teixeira, Jaime S. Cardoso
2022 arXiv   pre-print
Jing et al. [2018] proposed a methodology consisting of a multi-task deep learning model that jointly performs the prediction of tags and the generation of paragraphs, a co-attention mechanism for locating  ...  Data Augmentation Regarding the data augmentation strategy, we decided to create a pipeline composed of several random affine transformations, i.e., random rotations, random translations, random scaling  ... 
arXiv:2204.12406v1 fatcat:lwz3hvd44bfqnhf7n57ejehidu

2020 Index IEEE Transactions on Wireless Communications Vol. 19

2020 IEEE Transactions on Wireless Communications  
., Joint Access and Backhaul Resource Management in Satellite-Drone Networks: A Competitive Market Approach; TWC June 2020 3908-3923 Hu, Y.H., see Xia, M., TWC June 2020 3769-3781 Hua, C., see Li, M  ...  Huang, A., see He, H., TWC Dec. 2020 7881-7896 Huang, C., Molisch, A.F., He, R., Wang, R., Tang, P., Ai, B., and Zhong, Z., Machine Learning-Enabled LOS/NLOS Identification for MIMO Systems in Dynamic  ...  Maghsudi, S., +, TWC July 2020 5040-5056 Mean Field Evolutionary Dynamics in Dense-User Multi-Access Edge Computing Systems.  ... 
doi:10.1109/twc.2020.3044507 fatcat:ie4rwz4dgvaqbaxf3idysubc54

Automatic Malware Description via Attribute Tagging and Similarity Embedding [article]

Felipe N. Ducau, Ethan M. Rudd, Tad M. Heppner, Alex Long, and Konstantin Berlin
2020 arXiv   pre-print
1% per tag.  ...  Furthermore, we use the learned representation space to introduce a similarity index between malware files, and empirically demonstrate using dynamic traces from files' execution, that is not only more  ...  Because any given sample can be related to multiple tags, this task can be, and usually is, framed as a multilabel prediction problem within the field of machine learning.  ... 
arXiv:1905.06262v3 fatcat:f3txmt5r65ab7k46r63gkhapxq

Pre-trained Models for Natural Language Processing: A Survey [article]

Xipeng Qiu, Tianxiang Sun, Yige Xu, Yunfan Shao, Ning Dai, Xuanjing Huang
2020 arXiv   pre-print
This survey is purposed to be a hands-on guide for understanding, using, and developing PTMs for various NLP tasks.  ...  Next, we describe how to adapt the knowledge of PTMs to the downstream tasks. Finally, we outline some potential directions of PTMs for future research.  ...  For multi-round generative QA, Ju et al. [78] proposed a "PTM+Adversarial Training+Rationale Tagging+Knowledge Distillation" model. For multi-hop QA, Tu et al.  ... 
arXiv:2003.08271v3 fatcat:ze64wcfecfgs7bguq4vajpsgpu

Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning [article]

Shuang Dai, Fanlin Meng
2022 arXiv   pre-print
Furthermore, this survey provides insight into potential future research areas and aims to serve as a resource for professionals developing online federated and transfer learning frameworks.  ...  enable OTL in multi-class classification tasks.  ...  Numerous tasks in the real world, such as document classification, are multi-class.  ... 
arXiv:2202.03070v1 fatcat:aiuhmm5dejbhxpn4nkxutpltry

Active Sensing for Search and Tracking: A Review [article]

Luca Varotto, Angelo Cenedese, Andrea Cavallaro
2021 arXiv   pre-print
Overall, this survey explores the principal challenges and envisages the main research directions in the field of autonomous perception systems for localization tasks.  ...  Active Position Estimation (APE) is the task of localizing one or more targets using one or more sensing platforms.  ...  1 where pt,` is the target position, p0,` is the initial condition, [36] SAT dynamic A >1 >1 realization of the random vector  ... 
arXiv:2112.02381v1 fatcat:zxptl2lhcne6hjephtrefoy5ju

Information extraction from digital social trace data with applications to social media and scholarly communication data

Shubhanshu Mishra
2020 SIGIR Forum  
The multi-task models presented here result in competitive performance against other methods, for most of the tasks, while reducing inference time computational costs.  ...  Similarly, for social media data, machine learning models based on human-in-the-loop learning [Mishra et al., 2015], semi-supervised learning [Mishra and Diesner, 2016], and multi-task learning [Mishra  ...  Intermediate module Output layer Since each task is a sequence tagging task, we use a linear chain conditional random field (linear CRF) [Lafferty et al. 2001 ] loss function, to train our model.  ... 
doi:10.1145/3451964.3451981 fatcat:36djwlckprhl5hymzhivrbnscu

Program

2021 2021 IEEE International Conference on RFID (RFID)  
The ability to receive packets makes multi-hop tag-to-tag networking possible, a task that current backscatter networks currently provide only for limited topologies.  ...  We also demonstrate multi-user tracking with an average mean error of 39.4 cm.  ...  The ability to receive packets makes multi-hop tag-to-tag networking possible, a task that current backscatter networks currently provide only for limited topologies.  ... 
doi:10.1109/rfid52461.2021.9444380 fatcat:4g4yxtwpszh7robhdrzh6blmxa

Artificial Musical Intelligence: A Survey [article]

Elad Liebman, Peter Stone
2020 arXiv   pre-print
Schmidt and Kim proposed a conditional random field (CRF) approach for tracking the emotional content of musical pieces over time [277] .  ...  Burgoyne et al. compared multiple approaches of sequence modeling for automatic chord recognition, mainly comparing Dirichlet-based HMMs and conditional random fields (CRFs) over pitch class profiles  ... 
arXiv:2006.10553v1 fatcat:2j6i27wrsfawpgcr2unxdgngd4

Design and Implementation of a Narrow-Band Intersatellite Network with Limited Onboard Resources for IoT

Zizung Yoon, Walter Frese, Klaus Briess
2019 Sensors  
Advances in the miniaturization of satellite technology make networks in LEO (Low Earth Orbit) predestined to serve as a backhaul for narrow-band M2M communication.  ...  technical feasibility of a nanosatellite-based communication network, the S-NET (S band network with nanosatellites) mission has been developed, which consists of four nanosatellites, to demonstrate multi-point  ...  The system has moderate revisit times for low latitudes (0 to 2 contacts in 48 h at the equator) [1] .  ... 
doi:10.3390/s19194212 fatcat:hxfbgx5m55dc3ohoenekauipzy

Fog Computing for Sustainable Smart Cities: A Survey [article]

Charith Perera, Yongrui Qin, Julio C. Estrella, Stephan Reiff-Marganiec, Athanasios V. Vasilakos
2017 arXiv   pre-print
Further, such an approach would also lead to resource wastage (e.g. network, storage, etc.).  ...  With the help of random internal seed and a sequence number, fog gateways can verify the integrity of data using checksums [Gascon 2015] .  ...  DDIO: Dynamic Discovery of Internet Objects, DCDM: Dynamic Configuration and Device Management, MPS-C: Multi-Protocol Support: Communication Level, MPS-A: Multi-Protocol Support: Application Level, Mob  ... 
arXiv:1703.07079v1 fatcat:2lwpd2b5izcw3hwg7x6m2vduoq

Harvesting relational tables from lists on the web

Hazem Elmeleegy, Jayant Madhavan, Alon Halevy
2009 Proceedings of the VLDB Endowment  
Many such lists can be further split into multi-column tables, which can then be used in more semantically meaningful tasks.  ...  However, harvesting relational tables from such lists can be a challenging task.  ...  Field quality score -revisited In order to exploit the collective nature of the splitting task, we consider an additional component in the field quality score for this phase.  ... 
doi:10.14778/1687627.1687749 fatcat:x6fg6vdrxvhqbddvmy56rqm5xm

Harvesting relational tables from lists on the web

Hazem Elmeleegy, Jayant Madhavan, Alon Halevy
2011 The VLDB journal  
Many such lists can be further split into multi-column tables, which can then be used in more semantically meaningful tasks.  ...  However, harvesting relational tables from such lists can be a challenging task.  ...  Field quality score -revisited In order to exploit the collective nature of the splitting task, we consider an additional component in the field quality score for this phase.  ... 
doi:10.1007/s00778-011-0223-0 fatcat:jzgnqmfpqfei7j7psxigdarvg4
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