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Low Resource Multi-Task Sequence Tagging – Revisiting Dynamic Conditional Random Fields
[article]
2020
arXiv
pre-print
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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
2019
Sensors
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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]
2022
arXiv
pre-print
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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
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., 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]
2020
arXiv
pre-print
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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]
2020
arXiv
pre-print
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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]
2022
arXiv
pre-print
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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]
2021
arXiv
pre-print
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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
2020
SIGIR Forum
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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)
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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]
2020
arXiv
pre-print
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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
2019
Sensors
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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]
2017
arXiv
pre-print
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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
2009
Proceedings of the VLDB Endowment
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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
2011
The VLDB journal
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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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