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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2005.04944 | Carsten Schneider | Sergei A. Abramov and Manuel Bronstein and Marko Petkov\v{s}ek and
Carsten Schneider | On Rational and Hypergeometric Solutions of Linear Ordinary Difference
Equations in $\Pi\mathbf\Sigma^*$-field extensions | Various typos have been removed and the presentation has been
improved | null | null | null | cs.SC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a complete algorithm that computes all hypergeometric solutions of
homogeneous linear difference equations and rational solutions of parameterized
linear difference equations in the setting of $\Pi\Sigma^*$-fields. More
generally, we provide a flexible framework for a big class of difference fields
that is... | [
{
"created": "Mon, 11 May 2020 09:15:31 GMT",
"version": "v1"
},
{
"created": "Mon, 25 Jan 2021 19:36:53 GMT",
"version": "v2"
}
] | 2021-01-27 | [
[
"Abramov",
"Sergei A.",
""
],
[
"Bronstein",
"Manuel",
""
],
[
"Petkovšek",
"Marko",
""
],
[
"Schneider",
"Carsten",
""
]
] | We present a complete algorithm that computes all hypergeometric solutions of homogeneous linear difference equations and rational solutions of parameterized linear difference equations in the setting of $\Pi\Sigma^*$-fields. More generally, we provide a flexible framework for a big class of difference fields that is b... |
2112.05665 | Zhuangzhuang Dai | Zhuangzhuang Dai, Muhamad Risqi U. Saputra, Chris Xiaoxuan Lu, Andrew
Markham, and Niki Trigoni | Deep Odometry Systems on Edge with EKF-LoRa Backend for Real-Time
Positioning in Adverse Environment | null | null | null | null | cs.RO cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Ubiquitous positioning for pedestrian in adverse environment has served a
long standing challenge. Despite dramatic progress made by Deep Learning,
multi-sensor deep odometry systems yet pose a high computational cost and
suffer from cumulative drifting errors over time. Thanks to the increasing
computational power o... | [
{
"created": "Fri, 10 Dec 2021 16:53:13 GMT",
"version": "v1"
}
] | 2021-12-13 | [
[
"Dai",
"Zhuangzhuang",
""
],
[
"Saputra",
"Muhamad Risqi U.",
""
],
[
"Lu",
"Chris Xiaoxuan",
""
],
[
"Markham",
"Andrew",
""
],
[
"Trigoni",
"Niki",
""
]
] | Ubiquitous positioning for pedestrian in adverse environment has served a long standing challenge. Despite dramatic progress made by Deep Learning, multi-sensor deep odometry systems yet pose a high computational cost and suffer from cumulative drifting errors over time. Thanks to the increasing computational power of ... |
2302.02237 | Yujin Han | Yujin Han, Mingwenchan Xu, Leying Guan | Conformalized Semi-supervised Random Forest for Classification and
Abnormality Detection | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Random Forests classifier, a widely utilized off-the-shelf classification
tool, assumes training and test samples come from the same distribution as
other standard classifiers. However, in safety-critical scenarios like medical
diagnosis and network attack detection, discrepancies between the training and
test se... | [
{
"created": "Sat, 4 Feb 2023 20:53:07 GMT",
"version": "v1"
},
{
"created": "Thu, 29 Feb 2024 11:49:45 GMT",
"version": "v2"
}
] | 2024-03-01 | [
[
"Han",
"Yujin",
""
],
[
"Xu",
"Mingwenchan",
""
],
[
"Guan",
"Leying",
""
]
] | The Random Forests classifier, a widely utilized off-the-shelf classification tool, assumes training and test samples come from the same distribution as other standard classifiers. However, in safety-critical scenarios like medical diagnosis and network attack detection, discrepancies between the training and test sets... |
2002.02758 | Parth Shah | Parth Shah, Vishvajit Bakrola | Neural Machine Translation System of Indic Languages -- An Attention
based Approach | null | 2019 Second International Conference on Advanced Computational and
Communication Paradigms (ICACCP), Gangtok, India, 2019, pp. 1-5 | 10.1109/ICACCP.2019.8882969 | null | cs.CL cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neural machine translation (NMT) is a recent and effective technique which
led to remarkable improvements in comparison of conventional machine
translation techniques. Proposed neural machine translation model developed for
the Gujarati language contains encoder-decoder with attention mechanism. In
India, almost all ... | [
{
"created": "Sun, 2 Feb 2020 07:15:18 GMT",
"version": "v1"
}
] | 2020-02-10 | [
[
"Shah",
"Parth",
""
],
[
"Bakrola",
"Vishvajit",
""
]
] | Neural machine translation (NMT) is a recent and effective technique which led to remarkable improvements in comparison of conventional machine translation techniques. Proposed neural machine translation model developed for the Gujarati language contains encoder-decoder with attention mechanism. In India, almost all th... |
1611.01170 | Wei Xie | Wei Xie, Yang Wang, Steven M. Boker, Donald E. Brown | PrivLogit: Efficient Privacy-preserving Logistic Regression by Tailoring
Numerical Optimizers | 24 pages, 4 figures. Work done and circulated since 2015 | null | null | null | cs.LG cs.CR stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Safeguarding privacy in machine learning is highly desirable, especially in
collaborative studies across many organizations. Privacy-preserving distributed
machine learning (based on cryptography) is popular to solve the problem.
However, existing cryptographic protocols still incur excess computational
overhead. Her... | [
{
"created": "Thu, 3 Nov 2016 20:04:29 GMT",
"version": "v1"
}
] | 2016-11-07 | [
[
"Xie",
"Wei",
""
],
[
"Wang",
"Yang",
""
],
[
"Boker",
"Steven M.",
""
],
[
"Brown",
"Donald E.",
""
]
] | Safeguarding privacy in machine learning is highly desirable, especially in collaborative studies across many organizations. Privacy-preserving distributed machine learning (based on cryptography) is popular to solve the problem. However, existing cryptographic protocols still incur excess computational overhead. Here,... |
1505.00904 | Bernhard Rumpe | Jan Oliver Ringert, Alexander Roth, Bernhard Rumpe, Andreas Wortmann | Code Generator Composition for Model-Driven Engineering of Robotics
Component & Connector Systems | 12 pages, 4 figures, In: Proceedings of the 1st International
Workshop on Model-Driven Robot Software Engineering (MORSE 2014), York, Great
Britain, Volume 1319 of CEUR Workshop Proceedings, 2014 | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Engineering software for robotics applications requires multidomain and
application-specific solutions. Model-driven engineering and modeling language
integration provide means for developing specialized, yet reusable models of
robotics software architectures. Code generators transform these platform
independent mode... | [
{
"created": "Tue, 5 May 2015 07:30:58 GMT",
"version": "v1"
}
] | 2015-05-06 | [
[
"Ringert",
"Jan Oliver",
""
],
[
"Roth",
"Alexander",
""
],
[
"Rumpe",
"Bernhard",
""
],
[
"Wortmann",
"Andreas",
""
]
] | Engineering software for robotics applications requires multidomain and application-specific solutions. Model-driven engineering and modeling language integration provide means for developing specialized, yet reusable models of robotics software architectures. Code generators transform these platform independent models... |
1412.2122 | V\'ictor Ponce-L\'opez | V\'ictor Ponce-L\'opez, Sergio Escalera, Marc P\'erez, Oriol Jan\'es,
Xavier Bar\'o | Non-Verbal Communication Analysis in Victim-Offender Mediations | Please, find the supplementary video material at:
http://sunai.uoc.edu/~vponcel/video/VOMSessionSample.mp4 | null | null | null | cs.HC cs.AI cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we present a non-invasive ambient intelligence framework for
the semi-automatic analysis of non-verbal communication applied to the
restorative justice field. In particular, we propose the use of computer vision
and social signal processing technologies in real scenarios of Victim-Offender
Mediations, a... | [
{
"created": "Tue, 25 Nov 2014 12:56:43 GMT",
"version": "v1"
},
{
"created": "Mon, 19 Jan 2015 18:12:48 GMT",
"version": "v2"
}
] | 2016-02-22 | [
[
"Ponce-López",
"Víctor",
""
],
[
"Escalera",
"Sergio",
""
],
[
"Pérez",
"Marc",
""
],
[
"Janés",
"Oriol",
""
],
[
"Baró",
"Xavier",
""
]
] | In this paper we present a non-invasive ambient intelligence framework for the semi-automatic analysis of non-verbal communication applied to the restorative justice field. In particular, we propose the use of computer vision and social signal processing technologies in real scenarios of Victim-Offender Mediations, app... |
1902.10296 | Aaron Steven White | Shaorong Yan, Aaron Steven White | A Framework for Decoding Event-Related Potentials from Text | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a novel framework for modeling event-related potentials (ERPs)
collected during reading that couples pre-trained convolutional decoders with a
language model. Using this framework, we compare the abilities of a variety of
existing and novel sentence processing models to reconstruct ERPs. We find that
moder... | [
{
"created": "Wed, 27 Feb 2019 01:43:48 GMT",
"version": "v1"
},
{
"created": "Tue, 2 Apr 2019 17:29:41 GMT",
"version": "v2"
}
] | 2019-04-03 | [
[
"Yan",
"Shaorong",
""
],
[
"White",
"Aaron Steven",
""
]
] | We propose a novel framework for modeling event-related potentials (ERPs) collected during reading that couples pre-trained convolutional decoders with a language model. Using this framework, we compare the abilities of a variety of existing and novel sentence processing models to reconstruct ERPs. We find that modern ... |
2310.04975 | Youquan Xian | Peng Liu, Youquan Xian, Chuanjian Yao, Peng Wang, Li-e Wang, Xianxian
Li | A Trustworthy and Consistent Blockchain Oracle Scheme for Industrial
Internet of Things | Rejected after the third round of review of IEEE Internet of Things
Journal | null | null | null | cs.CR cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Blockchain provides decentralization and trustlessness features for the
Industrial Internet of Things (IIoT), which expands the application scenarios
of IIoT. To address the problem that the blockchain cannot actively obtain
off-chain data, the blockchain oracle is proposed as a bridge between the
blockchain and exte... | [
{
"created": "Sun, 8 Oct 2023 02:44:29 GMT",
"version": "v1"
}
] | 2023-10-10 | [
[
"Liu",
"Peng",
""
],
[
"Xian",
"Youquan",
""
],
[
"Yao",
"Chuanjian",
""
],
[
"Wang",
"Peng",
""
],
[
"Wang",
"Li-e",
""
],
[
"Li",
"Xianxian",
""
]
] | Blockchain provides decentralization and trustlessness features for the Industrial Internet of Things (IIoT), which expands the application scenarios of IIoT. To address the problem that the blockchain cannot actively obtain off-chain data, the blockchain oracle is proposed as a bridge between the blockchain and extern... |
2012.03923 | Nathaniel Harms | Eric Blais, Renato Ferreira Pinto Jr., Nathaniel Harms | VC Dimension and Distribution-Free Sample-Based Testing | 44 pages | null | null | null | cs.LG cs.CC cs.DS | http://creativecommons.org/licenses/by/4.0/ | We consider the problem of determining which classes of functions can be
tested more efficiently than they can be learned, in the distribution-free
sample-based model that corresponds to the standard PAC learning setting. Our
main result shows that while VC dimension by itself does not always provide
tight bounds on ... | [
{
"created": "Mon, 7 Dec 2020 18:50:46 GMT",
"version": "v1"
}
] | 2020-12-08 | [
[
"Blais",
"Eric",
""
],
[
"Pinto",
"Renato Ferreira",
"Jr."
],
[
"Harms",
"Nathaniel",
""
]
] | We consider the problem of determining which classes of functions can be tested more efficiently than they can be learned, in the distribution-free sample-based model that corresponds to the standard PAC learning setting. Our main result shows that while VC dimension by itself does not always provide tight bounds on th... |
1607.03607 | Gabriel Martins Dias | Gabriel Martins Dias, Cintia Borges Margi, Filipe C. P. de Oliveira,
Boris Bellalta | Cloud Empowered Self-Managing WSNs | 12 pages, 4200 words, 4 figures, 2 tables, submitted to "IEEE
Communications Magazine" special issue on the Internet of Things | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Wireless Sensor Networks (WSNs) are composed of low powered and
resource-constrained wireless sensor nodes that are not capable of performing
high-complexity algorithms. Integrating these networks into the Internet of
Things (IoT) facilitates their real-time optimization based on remote data
visualization and analysi... | [
{
"created": "Wed, 13 Jul 2016 07:01:26 GMT",
"version": "v1"
}
] | 2016-07-14 | [
[
"Dias",
"Gabriel Martins",
""
],
[
"Margi",
"Cintia Borges",
""
],
[
"de Oliveira",
"Filipe C. P.",
""
],
[
"Bellalta",
"Boris",
""
]
] | Wireless Sensor Networks (WSNs) are composed of low powered and resource-constrained wireless sensor nodes that are not capable of performing high-complexity algorithms. Integrating these networks into the Internet of Things (IoT) facilitates their real-time optimization based on remote data visualization and analysis.... |
1610.03677 | Suchet Bargoti | Suchet Bargoti and James Underwood | Deep Fruit Detection in Orchards | Submitted to the IEEE International Conference on Robotics and
Automation 2017 | null | null | null | cs.RO cs.AI cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An accurate and reliable image based fruit detection system is critical for
supporting higher level agriculture tasks such as yield mapping and robotic
harvesting. This paper presents the use of a state-of-the-art object detection
framework, Faster R-CNN, in the context of fruit detection in orchards,
including mango... | [
{
"created": "Wed, 12 Oct 2016 11:40:24 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Sep 2017 01:03:55 GMT",
"version": "v2"
}
] | 2017-09-19 | [
[
"Bargoti",
"Suchet",
""
],
[
"Underwood",
"James",
""
]
] | An accurate and reliable image based fruit detection system is critical for supporting higher level agriculture tasks such as yield mapping and robotic harvesting. This paper presents the use of a state-of-the-art object detection framework, Faster R-CNN, in the context of fruit detection in orchards, including mangoes... |
1606.04593 | Guy Kloss | Guy Kloss | Strongvelope Multi-Party Encrypted Messaging Protocol design document | design whitepaper | null | null | null | cs.CR | http://creativecommons.org/licenses/by-sa/4.0/ | In this document we describe the design of a multi-party messaging encryption
protocol "Strongvelope". We hope that it will prove useful to people interested
in understanding the inner workings of this protocol as well as cryptography
and security experts to review the underlying concepts and assumptions.
In this d... | [
{
"created": "Tue, 14 Jun 2016 23:38:41 GMT",
"version": "v1"
}
] | 2016-06-16 | [
[
"Kloss",
"Guy",
""
]
] | In this document we describe the design of a multi-party messaging encryption protocol "Strongvelope". We hope that it will prove useful to people interested in understanding the inner workings of this protocol as well as cryptography and security experts to review the underlying concepts and assumptions. In this desig... |
1604.08239 | Sam Royston | Sam Royston, Connor DeFanti and Ken Perlin | A Collaborative Untethered Virtual Reality Environment for Interactive
Social Network Visualization | null | null | null | null | cs.HC cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The increasing prevalence of Virtual Reality technologies as a platform for
gaming and video playback warrants research into how to best apply the current
state of the art to challenges in data visualization. Many current VR systems
are noncollaborative, while data analysis and visualization is often a
multi-person p... | [
{
"created": "Wed, 27 Apr 2016 20:54:37 GMT",
"version": "v1"
}
] | 2016-04-29 | [
[
"Royston",
"Sam",
""
],
[
"DeFanti",
"Connor",
""
],
[
"Perlin",
"Ken",
""
]
] | The increasing prevalence of Virtual Reality technologies as a platform for gaming and video playback warrants research into how to best apply the current state of the art to challenges in data visualization. Many current VR systems are noncollaborative, while data analysis and visualization is often a multi-person pro... |
1511.04121 | Cornelia Haisjackl | Jakob Pinggera, Marco Furtner, Markus Martini, Pierre Sachse,
Katharina Reiter, Stefan Zugal, Barbara Weber | Investigating the Process of Process Modeling with Eye Movement Analysis | arXiv admin note: text overlap with arXiv:1511.04057 | Proc. ER-BPM'12, pp. 438-450, 2013 | 10.1007/978-3-642-36285-9_46 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Research on quality issues of business process models has recently begun to
explore the process of creating process models by analyzing the modeler's
interactions with the modeling environment. In this paper we aim to complement
previous insights on the modeler's modeling behavior with data gathered by
tracking the m... | [
{
"created": "Wed, 11 Nov 2015 17:55:01 GMT",
"version": "v1"
}
] | 2015-11-16 | [
[
"Pinggera",
"Jakob",
""
],
[
"Furtner",
"Marco",
""
],
[
"Martini",
"Markus",
""
],
[
"Sachse",
"Pierre",
""
],
[
"Reiter",
"Katharina",
""
],
[
"Zugal",
"Stefan",
""
],
[
"Weber",
"Barbara",
""
]
] | Research on quality issues of business process models has recently begun to explore the process of creating process models by analyzing the modeler's interactions with the modeling environment. In this paper we aim to complement previous insights on the modeler's modeling behavior with data gathered by tracking the mod... |
1911.08150 | Masahito Hayashi | Masahito Hayashi and Angeles Vazquez-Castro | Two-Way Physical Layer Security Protocol for Gaussian Channels | null | IEEE Transactions on Communications, vol. 68, Issue 5, 3068 - 3078
(2020) | 10.1109/TCOMM.2020.2973618 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we propose a two-way protocol of physical layer security using
the method of privacy amplification against eavesdroppers. First we justify our
proposed protocol by analyzing the physical layer security provided by the
classic wiretap channel model (i.e. one-way protocol). In the Gaussian
channels, the c... | [
{
"created": "Tue, 19 Nov 2019 08:18:52 GMT",
"version": "v1"
}
] | 2022-04-26 | [
[
"Hayashi",
"Masahito",
""
],
[
"Vazquez-Castro",
"Angeles",
""
]
] | In this paper we propose a two-way protocol of physical layer security using the method of privacy amplification against eavesdroppers. First we justify our proposed protocol by analyzing the physical layer security provided by the classic wiretap channel model (i.e. one-way protocol). In the Gaussian channels, the cla... |
2006.11476 | Yuan Yao | Yuan Yao, Chang Liu, Dezhao Luo, Yu Zhou, Qixiang Ye | Video Playback Rate Perception for Self-supervisedSpatio-Temporal
Representation Learning | CVPR 2020 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In self-supervised spatio-temporal representation learning, the temporal
resolution and long-short term characteristics are not yet fully explored,
which limits representation capabilities of learned models. In this paper, we
propose a novel self-supervised method, referred to as video Playback Rate
Perception (PRP),... | [
{
"created": "Sat, 20 Jun 2020 02:26:07 GMT",
"version": "v1"
}
] | 2020-06-23 | [
[
"Yao",
"Yuan",
""
],
[
"Liu",
"Chang",
""
],
[
"Luo",
"Dezhao",
""
],
[
"Zhou",
"Yu",
""
],
[
"Ye",
"Qixiang",
""
]
] | In self-supervised spatio-temporal representation learning, the temporal resolution and long-short term characteristics are not yet fully explored, which limits representation capabilities of learned models. In this paper, we propose a novel self-supervised method, referred to as video Playback Rate Perception (PRP), t... |
2110.08221 | Matthew Leinhauser | Matthew Leinhauser, Ren\'e Widera, Sergei Bastrakov, Alexander Debus,
Michael Bussmann, Sunita Chandrasekaran | Metrics and Design of an Instruction Roofline Model for AMD GPUs | 14 pages, 7 figures, 2 tables, 4 equations, explains how to create an
instruction roofline model for an AMD GPU as of Oct. 2021 | null | null | null | cs.DC | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Due to the recent announcement of the Frontier supercomputer, many scientific
application developers are working to make their applications compatible with
AMD architectures (CPU-GPU), which means moving away from the traditional CPU
and NVIDIA-GPU systems. Due to the current limitations of profiling tools for
AMD GP... | [
{
"created": "Fri, 15 Oct 2021 17:32:59 GMT",
"version": "v1"
},
{
"created": "Wed, 10 Nov 2021 15:57:28 GMT",
"version": "v2"
}
] | 2021-11-11 | [
[
"Leinhauser",
"Matthew",
""
],
[
"Widera",
"René",
""
],
[
"Bastrakov",
"Sergei",
""
],
[
"Debus",
"Alexander",
""
],
[
"Bussmann",
"Michael",
""
],
[
"Chandrasekaran",
"Sunita",
""
]
] | Due to the recent announcement of the Frontier supercomputer, many scientific application developers are working to make their applications compatible with AMD architectures (CPU-GPU), which means moving away from the traditional CPU and NVIDIA-GPU systems. Due to the current limitations of profiling tools for AMD GPUs... |
1002.3183 | Vitaly Feldman | Vitaly Feldman | A Complete Characterization of Statistical Query Learning with
Applications to Evolvability | Simplified Lemma 3.8 and it's applications | Proceedings of the 44th IEEE Symposium on Foundations of Computer
Science, pp 375-384, 2009 | null | null | cs.CC cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Statistical query (SQ) learning model of Kearns (1993) is a natural
restriction of the PAC learning model in which a learning algorithm is allowed
to obtain estimates of statistical properties of the examples but cannot see
the examples themselves. We describe a new and simple characterization of the
query complexity... | [
{
"created": "Tue, 16 Feb 2010 22:35:39 GMT",
"version": "v1"
},
{
"created": "Tue, 21 Feb 2012 00:43:31 GMT",
"version": "v2"
},
{
"created": "Mon, 25 Nov 2013 04:57:18 GMT",
"version": "v3"
}
] | 2013-11-26 | [
[
"Feldman",
"Vitaly",
""
]
] | Statistical query (SQ) learning model of Kearns (1993) is a natural restriction of the PAC learning model in which a learning algorithm is allowed to obtain estimates of statistical properties of the examples but cannot see the examples themselves. We describe a new and simple characterization of the query complexity o... |
2109.12391 | Xiangyu Yue | Xiangyu Yue, Zangwei Zheng, Colorado Reed, Hari Prasanna Das, Kurt
Keutzer, Alberto Sangiovanni Vincentelli | Multi-source Few-shot Domain Adaptation | null | null | null | null | cs.CV cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multi-source Domain Adaptation (MDA) aims to transfer predictive models from
multiple, fully-labeled source domains to an unlabeled target domain. However,
in many applications, relevant labeled source datasets may not be available,
and collecting source labels can be as expensive as labeling the target data
itself. ... | [
{
"created": "Sat, 25 Sep 2021 15:54:01 GMT",
"version": "v1"
}
] | 2021-09-28 | [
[
"Yue",
"Xiangyu",
""
],
[
"Zheng",
"Zangwei",
""
],
[
"Reed",
"Colorado",
""
],
[
"Das",
"Hari Prasanna",
""
],
[
"Keutzer",
"Kurt",
""
],
[
"Vincentelli",
"Alberto Sangiovanni",
""
]
] | Multi-source Domain Adaptation (MDA) aims to transfer predictive models from multiple, fully-labeled source domains to an unlabeled target domain. However, in many applications, relevant labeled source datasets may not be available, and collecting source labels can be as expensive as labeling the target data itself. In... |
2203.15071 | Elizabeth Daly | Elizabeth M. Daly, Massimiliano Mattetti, \"Oznur Alkan, Rahul Nair | User Driven Model Adjustment via Boolean Rule Explanations | null | null | null | null | cs.AI cs.HC cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | AI solutions are heavily dependant on the quality and accuracy of the input
training data, however the training data may not always fully reflect the most
up-to-date policy landscape or may be missing business logic. The advances in
explainability have opened the possibility of allowing users to interact with
interpr... | [
{
"created": "Mon, 28 Mar 2022 20:27:02 GMT",
"version": "v1"
}
] | 2022-03-30 | [
[
"Daly",
"Elizabeth M.",
""
],
[
"Mattetti",
"Massimiliano",
""
],
[
"Alkan",
"Öznur",
""
],
[
"Nair",
"Rahul",
""
]
] | AI solutions are heavily dependant on the quality and accuracy of the input training data, however the training data may not always fully reflect the most up-to-date policy landscape or may be missing business logic. The advances in explainability have opened the possibility of allowing users to interact with interpret... |
1904.11746 | Meead Saberi | Ziyuan Gu, Sajjad Shafiei, Zhiyuan Liu, Meead Saberi | Optimal distance- and time-dependent area-based pricing with the Network
Fundamental Diagram | 39 pages, 13 figures | Transportation Research Part C: Emerging Technologies 95, 1-28
(2018) | 10.1016/j.trc.2018.07.004 | null | cs.SY math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given the efficiency and equity concerns of a cordon toll, this paper
proposes a few alternative distance-dependent area-based pricing models for a
large-scale dynamic traffic network. We use the Network Fundamental Diagram
(NFD) to monitor the network traffic state over time and consider different
trip lengths in th... | [
{
"created": "Fri, 26 Apr 2019 10:09:07 GMT",
"version": "v1"
}
] | 2020-09-24 | [
[
"Gu",
"Ziyuan",
""
],
[
"Shafiei",
"Sajjad",
""
],
[
"Liu",
"Zhiyuan",
""
],
[
"Saberi",
"Meead",
""
]
] | Given the efficiency and equity concerns of a cordon toll, this paper proposes a few alternative distance-dependent area-based pricing models for a large-scale dynamic traffic network. We use the Network Fundamental Diagram (NFD) to monitor the network traffic state over time and consider different trip lengths in the ... |
2205.08812 | Hanh T. M. Tran | Hanh Thi Minh Tran, David Hogg | Anomaly detection using prediction error with Spatio-Temporal
Convolutional LSTM | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | In this paper, we propose a novel method for video anomaly detection
motivated by an existing architecture for sequence-to-sequence prediction and
reconstruction using a spatio-temporal convolutional Long Short-Term Memory
(convLSTM). As in previous work on anomaly detection, anomalies arise as
spatially localised fa... | [
{
"created": "Wed, 18 May 2022 09:25:53 GMT",
"version": "v1"
}
] | 2022-05-19 | [
[
"Tran",
"Hanh Thi Minh",
""
],
[
"Hogg",
"David",
""
]
] | In this paper, we propose a novel method for video anomaly detection motivated by an existing architecture for sequence-to-sequence prediction and reconstruction using a spatio-temporal convolutional Long Short-Term Memory (convLSTM). As in previous work on anomaly detection, anomalies arise as spatially localised fail... |
2209.11135 | Sacha L\'evy | Sacha L\'evy, Farimah Poursafaei, Kellin Pelrine, Reihaneh Rabbany | Active Keyword Selection to Track Evolving Topics on Twitter | 10 pages, 3 figures | null | null | null | cs.SI cs.IR | http://creativecommons.org/licenses/by-nc-sa/4.0/ | How can we study social interactions on evolving topics at a mass scale? Over
the past decade, researchers from diverse fields such as economics, political
science, and public health have often done this by querying Twitter's public
API endpoints with hand-picked topical keywords to search or stream
discussions. Howe... | [
{
"created": "Thu, 22 Sep 2022 16:25:58 GMT",
"version": "v1"
}
] | 2022-09-23 | [
[
"Lévy",
"Sacha",
""
],
[
"Poursafaei",
"Farimah",
""
],
[
"Pelrine",
"Kellin",
""
],
[
"Rabbany",
"Reihaneh",
""
]
] | How can we study social interactions on evolving topics at a mass scale? Over the past decade, researchers from diverse fields such as economics, political science, and public health have often done this by querying Twitter's public API endpoints with hand-picked topical keywords to search or stream discussions. Howeve... |
2308.09886 | Amani Abusafia | Amani Abusafia, Abdallah Lakhdari, Athman Bouguettaya | Flow-Based Energy Services Composition | 14 pages, 19 Figures, This is an accepted paper in the IEEE
Transactions on Services Computing (IEEE TSC) | null | null | null | cs.DC | http://creativecommons.org/licenses/by/4.0/ | We propose a novel spatio-temporal service composition framework for
crowdsourcing multiple IoT energy services to cater to multiple energy
requests. We define a new energy service model to leverage the wearable-based
energy and wireless power transfer technologies. We reformulate the problem of
spatio-temporal servi... | [
{
"created": "Sat, 19 Aug 2023 02:40:43 GMT",
"version": "v1"
}
] | 2023-08-22 | [
[
"Abusafia",
"Amani",
""
],
[
"Lakhdari",
"Abdallah",
""
],
[
"Bouguettaya",
"Athman",
""
]
] | We propose a novel spatio-temporal service composition framework for crowdsourcing multiple IoT energy services to cater to multiple energy requests. We define a new energy service model to leverage the wearable-based energy and wireless power transfer technologies. We reformulate the problem of spatio-temporal service... |
2312.12441 | Tuan T Nguyen | Neetu Sigger, Tuan Thanh Nguyen, Gianluca Tozzi, Quoc-Tuan Vien, Sinh
Van Nguyen | DiffSpectralNet : Unveiling the Potential of Diffusion Models for
Hyperspectral Image Classification | 18 pages | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Hyperspectral images (HSI) have become popular for analysing remotely sensed
images in multiple domain like agriculture, medical. However, existing models
struggle with complex relationships and characteristics of spectral-spatial
data due to the multi-band nature and data redundancy of hyperspectral data. To
address... | [
{
"created": "Sun, 29 Oct 2023 15:26:37 GMT",
"version": "v1"
}
] | 2023-12-21 | [
[
"Sigger",
"Neetu",
""
],
[
"Nguyen",
"Tuan Thanh",
""
],
[
"Tozzi",
"Gianluca",
""
],
[
"Vien",
"Quoc-Tuan",
""
],
[
"Van Nguyen",
"Sinh",
""
]
] | Hyperspectral images (HSI) have become popular for analysing remotely sensed images in multiple domain like agriculture, medical. However, existing models struggle with complex relationships and characteristics of spectral-spatial data due to the multi-band nature and data redundancy of hyperspectral data. To address t... |
1906.06812 | Ruggiero Seccia Mr | Francesco Foglino, Matteo Leonetti, Simone Sagratella, Ruggiero Seccia | A gray-box approach for curriculum learning | 10 pages, 1 figure | Optimization of Complex Systems: Theory, Models, Algorithms and
Applications, 2020, pp 720-729 | 10.1007/978-3-030-21803-4_72 | null | cs.LG cs.AI math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Curriculum learning is often employed in deep reinforcement learning to let
the agent progress more quickly towards better behaviors. Numerical methods for
curriculum learning in the literature provides only initial heuristic
solutions, with little to no guarantee on their quality. We define a new
gray-box function t... | [
{
"created": "Mon, 17 Jun 2019 01:27:49 GMT",
"version": "v1"
}
] | 2019-06-18 | [
[
"Foglino",
"Francesco",
""
],
[
"Leonetti",
"Matteo",
""
],
[
"Sagratella",
"Simone",
""
],
[
"Seccia",
"Ruggiero",
""
]
] | Curriculum learning is often employed in deep reinforcement learning to let the agent progress more quickly towards better behaviors. Numerical methods for curriculum learning in the literature provides only initial heuristic solutions, with little to no guarantee on their quality. We define a new gray-box function tha... |
2206.05833 | Mani Kumar Tellamekala | Mani Kumar Tellamekala, Shahin Amiriparian, Bj\"orn W. Schuller,
Elisabeth Andr\'e, Timo Giesbrecht, Michel Valstar | COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for
Uncertainty-Aware Multimodal Emotion Recognition | Accepted to IEEE Transactions on Pattern Analysis and Machine
Intelligence | null | null | null | cs.CV cs.HC cs.MM | http://creativecommons.org/licenses/by-sa/4.0/ | Automatically recognising apparent emotions from face and voice is hard, in
part because of various sources of uncertainty, including in the input data and
the labels used in a machine learning framework. This paper introduces an
uncertainty-aware audiovisual fusion approach that quantifies modality-wise
uncertainty ... | [
{
"created": "Sun, 12 Jun 2022 20:25:21 GMT",
"version": "v1"
},
{
"created": "Mon, 16 Oct 2023 20:29:02 GMT",
"version": "v2"
}
] | 2023-10-18 | [
[
"Tellamekala",
"Mani Kumar",
""
],
[
"Amiriparian",
"Shahin",
""
],
[
"Schuller",
"Björn W.",
""
],
[
"André",
"Elisabeth",
""
],
[
"Giesbrecht",
"Timo",
""
],
[
"Valstar",
"Michel",
""
]
] | Automatically recognising apparent emotions from face and voice is hard, in part because of various sources of uncertainty, including in the input data and the labels used in a machine learning framework. This paper introduces an uncertainty-aware audiovisual fusion approach that quantifies modality-wise uncertainty to... |
cs/0304031 | Douglas A. Galbi | Douglas A. Galbi | Transforming the Structure of Network Interconnection and Transport | null | CommLaw Conspectus, v. 8, n. 2 (Summer 2000) pp. 203-18 | null | null | cs.CY | null | Vibrant development of a network-based economy requires separating investment
in highly location specific local access technology from the development of
standardized, geography-independent, wide-area network services. Thus far
interconnection arrangements and associated regulations have been too closely
tied to the ... | [
{
"created": "Tue, 22 Apr 2003 20:18:43 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Galbi",
"Douglas A.",
""
]
] | Vibrant development of a network-based economy requires separating investment in highly location specific local access technology from the development of standardized, geography-independent, wide-area network services. Thus far interconnection arrangements and associated regulations have been too closely tied to the id... |
1711.09762 | Yehia Abd Alrahman | Yehia Abd Alrahman and Rocco De Nicola and Michele Loreti | A Behavioural Theory for Interactions in Collective-Adaptive Systems | 30 pages, preprint submitted to Elsevier. arXiv admin note: text
overlap with arXiv:1711.06092 and arXiv:1602.05635 | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a process calculus, named AbC, to study the behavioural theory of
interactions in collective-adaptive systems by relying on attribute-based
communication. An AbC system consists of a set of parallel components each of
which is equipped with a set of attributes. Communication takes place in an
implicit mult... | [
{
"created": "Thu, 23 Nov 2017 14:32:07 GMT",
"version": "v1"
},
{
"created": "Sun, 29 Jul 2018 12:42:39 GMT",
"version": "v2"
}
] | 2018-07-31 | [
[
"Alrahman",
"Yehia Abd",
""
],
[
"De Nicola",
"Rocco",
""
],
[
"Loreti",
"Michele",
""
]
] | We propose a process calculus, named AbC, to study the behavioural theory of interactions in collective-adaptive systems by relying on attribute-based communication. An AbC system consists of a set of parallel components each of which is equipped with a set of attributes. Communication takes place in an implicit multic... |
1903.07026 | Hussien Al-Hmood Dr | Hussien Al-Hmood and H.S. Al-Raweshidy | Effective rate analysis over Fluctuating Beckmann fading channels | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The effective rate of Fluctuating Beckmann (FB) fading channel is analysed.
The moment generating function (MGF) of the instantaneous signal-to-noise (SNR)
is used first to derive the effective rate for arbitrary values of the fading
parameters in terms of the extended generalised bivariate Meijer's-$G$ function
(EGB... | [
{
"created": "Sun, 17 Mar 2019 04:52:23 GMT",
"version": "v1"
}
] | 2019-03-19 | [
[
"Al-Hmood",
"Hussien",
""
],
[
"Al-Raweshidy",
"H. S.",
""
]
] | The effective rate of Fluctuating Beckmann (FB) fading channel is analysed. The moment generating function (MGF) of the instantaneous signal-to-noise (SNR) is used first to derive the effective rate for arbitrary values of the fading parameters in terms of the extended generalised bivariate Meijer's-$G$ function (EGBMG... |
2205.15195 | Shimin Zhang | Shimin Zhang, Ziteng Wang, Yukai Ju, Yihui Fu, Yueyue Na, Qiang Fu,
Lei Xie | Personalized Acoustic Echo Cancellation for Full-duplex Communications | submitted to INTERSPEECH 22 | null | null | null | cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep neural networks (DNNs) have shown promising results for acoustic echo
cancellation (AEC). But the DNN-based AEC models let through all near-end
speakers including the interfering speech. In light of recent studies on
personalized speech enhancement, we investigate the feasibility of personalized
acoustic echo ca... | [
{
"created": "Mon, 30 May 2022 15:47:12 GMT",
"version": "v1"
},
{
"created": "Thu, 30 Jun 2022 02:50:28 GMT",
"version": "v2"
}
] | 2022-07-01 | [
[
"Zhang",
"Shimin",
""
],
[
"Wang",
"Ziteng",
""
],
[
"Ju",
"Yukai",
""
],
[
"Fu",
"Yihui",
""
],
[
"Na",
"Yueyue",
""
],
[
"Fu",
"Qiang",
""
],
[
"Xie",
"Lei",
""
]
] | Deep neural networks (DNNs) have shown promising results for acoustic echo cancellation (AEC). But the DNN-based AEC models let through all near-end speakers including the interfering speech. In light of recent studies on personalized speech enhancement, we investigate the feasibility of personalized acoustic echo canc... |
1902.03738 | Yuehe Zhu | Yue-he Zhu and Ya-zhong Luo | Fast Evaluation of Low-Thrust Transfers via Deep Neural Networks | null | null | null | null | cs.LG astro-ph.IM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The design of low-thrust-based multitarget interplanetary missions requires a
method to quickly and accurately evaluate the low-thrust transfer between any
two visiting targets. Complete evaluation of the low-thrust transfer includes
not only the estimation of the optimal fuel consumption but also the judgment
of tra... | [
{
"created": "Mon, 11 Feb 2019 05:43:16 GMT",
"version": "v1"
}
] | 2019-02-12 | [
[
"Zhu",
"Yue-he",
""
],
[
"Luo",
"Ya-zhong",
""
]
] | The design of low-thrust-based multitarget interplanetary missions requires a method to quickly and accurately evaluate the low-thrust transfer between any two visiting targets. Complete evaluation of the low-thrust transfer includes not only the estimation of the optimal fuel consumption but also the judgment of trans... |
2405.18060 | Mehrimah Amiripour | Mehrimah Amirpour, Reza Azmi | PRFashion24: A Dataset for Sentiment Analysis of Fashion Products
Reviews in Persian | 8 page | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The PRFashion24 dataset is a comprehensive Persian dataset collected from
various online fashion stores, spanning from April 2020 to March 2024. With
767,272 reviews, it is the first dataset in its kind that encompasses diverse
categories within the fashion industry in the Persian language. The goal of
this study is ... | [
{
"created": "Tue, 28 May 2024 11:19:13 GMT",
"version": "v1"
}
] | 2024-05-29 | [
[
"Amirpour",
"Mehrimah",
""
],
[
"Azmi",
"Reza",
""
]
] | The PRFashion24 dataset is a comprehensive Persian dataset collected from various online fashion stores, spanning from April 2020 to March 2024. With 767,272 reviews, it is the first dataset in its kind that encompasses diverse categories within the fashion industry in the Persian language. The goal of this study is to... |
2404.15687 | Zhaoyang Chu | Zhaoyang Chu, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui,
Guandong Xu, Hai Jin | Graph Neural Networks for Vulnerability Detection: A Counterfactual
Explanation | This paper was accepted in the proceedings of the 33rd ACM SIGSOFT
International Symposium on Software Testing and Analysis (ISSTA 2024) | null | 10.1145/3650212.3652136 | null | cs.SE cs.AI cs.CR | http://creativecommons.org/licenses/by/4.0/ | Vulnerability detection is crucial for ensuring the security and reliability
of software systems. Recently, Graph Neural Networks (GNNs) have emerged as a
prominent code embedding approach for vulnerability detection, owing to their
ability to capture the underlying semantic structure of source code. However,
GNNs fa... | [
{
"created": "Wed, 24 Apr 2024 06:52:53 GMT",
"version": "v1"
},
{
"created": "Mon, 15 Jul 2024 14:05:49 GMT",
"version": "v2"
}
] | 2024-07-16 | [
[
"Chu",
"Zhaoyang",
""
],
[
"Wan",
"Yao",
""
],
[
"Li",
"Qian",
""
],
[
"Wu",
"Yang",
""
],
[
"Zhang",
"Hongyu",
""
],
[
"Sui",
"Yulei",
""
],
[
"Xu",
"Guandong",
""
],
[
"Jin",
"Hai",
""
]... | Vulnerability detection is crucial for ensuring the security and reliability of software systems. Recently, Graph Neural Networks (GNNs) have emerged as a prominent code embedding approach for vulnerability detection, owing to their ability to capture the underlying semantic structure of source code. However, GNNs face... |
2302.14286 | Jianing Wang | Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming
Gao | HugNLP: A Unified and Comprehensive Library for Natural Language
Processing | 8 Pages | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | In this paper, we introduce HugNLP, a unified and comprehensive library for
natural language processing (NLP) with the prevalent backend of HuggingFace
Transformers, which is designed for NLP researchers to easily utilize
off-the-shelf algorithms and develop novel methods with user-defined models and
tasks in real-wo... | [
{
"created": "Tue, 28 Feb 2023 03:38:26 GMT",
"version": "v1"
}
] | 2023-03-01 | [
[
"Wang",
"Jianing",
""
],
[
"Chen",
"Nuo",
""
],
[
"Sun",
"Qiushi",
""
],
[
"Huang",
"Wenkang",
""
],
[
"Wang",
"Chengyu",
""
],
[
"Gao",
"Ming",
""
]
] | In this paper, we introduce HugNLP, a unified and comprehensive library for natural language processing (NLP) with the prevalent backend of HuggingFace Transformers, which is designed for NLP researchers to easily utilize off-the-shelf algorithms and develop novel methods with user-defined models and tasks in real-worl... |
2311.16171 | Omkar Shelke | Omkar Shelke and Pranavi Pathakota and Anandsingh Chauhan and Harshad
Khadilkar and Hardik Meisheri and Balaraman Ravindran | Multi-Agent Learning of Efficient Fulfilment and Routing Strategies in
E-Commerce | null | null | null | null | cs.AI cs.LG cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents an integrated algorithmic framework for minimising
product delivery costs in e-commerce (known as the cost-to-serve or C2S). One
of the major challenges in e-commerce is the large volume of spatio-temporally
diverse orders from multiple customers, each of which has to be fulfilled from
one of seve... | [
{
"created": "Mon, 20 Nov 2023 10:32:28 GMT",
"version": "v1"
}
] | 2023-11-29 | [
[
"Shelke",
"Omkar",
""
],
[
"Pathakota",
"Pranavi",
""
],
[
"Chauhan",
"Anandsingh",
""
],
[
"Khadilkar",
"Harshad",
""
],
[
"Meisheri",
"Hardik",
""
],
[
"Ravindran",
"Balaraman",
""
]
] | This paper presents an integrated algorithmic framework for minimising product delivery costs in e-commerce (known as the cost-to-serve or C2S). One of the major challenges in e-commerce is the large volume of spatio-temporally diverse orders from multiple customers, each of which has to be fulfilled from one of severa... |
2003.13909 | Meng Hua | Meng Hua, Qingqing Wu, Derrick Wing Kwan Ng, Jun Zhao, Luxi Yang | Intelligent Reflecting Surface-Aided Joint Processing Coordinated
Multipoint Transmission | This is preprint version submitted to IEEE journal for possible
publication | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper investigates intelligent reflecting surface (IRS)-aided multicell
wireless networks, where an IRS is deployed to assist the joint processing
coordinated multipoint (JP-CoMP) transmission from multiple base stations (BSs)
to multiple cell-edge users. By taking into account the fairness among
cell-edge users... | [
{
"created": "Tue, 31 Mar 2020 01:58:09 GMT",
"version": "v1"
},
{
"created": "Wed, 1 Apr 2020 01:12:33 GMT",
"version": "v2"
},
{
"created": "Fri, 3 Apr 2020 00:57:47 GMT",
"version": "v3"
},
{
"created": "Sun, 29 Nov 2020 02:58:46 GMT",
"version": "v4"
}
] | 2020-12-01 | [
[
"Hua",
"Meng",
""
],
[
"Wu",
"Qingqing",
""
],
[
"Ng",
"Derrick Wing Kwan",
""
],
[
"Zhao",
"Jun",
""
],
[
"Yang",
"Luxi",
""
]
] | This paper investigates intelligent reflecting surface (IRS)-aided multicell wireless networks, where an IRS is deployed to assist the joint processing coordinated multipoint (JP-CoMP) transmission from multiple base stations (BSs) to multiple cell-edge users. By taking into account the fairness among cell-edge users, ... |
2012.00413 | Zhengyan Zhang | Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia
Qin, Yusheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng,
Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu,
Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun | CPM: A Large-scale Generative Chinese Pre-trained Language Model | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pre-trained Language Models (PLMs) have proven to be beneficial for various
downstream NLP tasks. Recently, GPT-3, with 175 billion parameters and 570GB
training data, drew a lot of attention due to the capacity of few-shot (even
zero-shot) learning. However, applying GPT-3 to address Chinese NLP tasks is
still chall... | [
{
"created": "Tue, 1 Dec 2020 11:32:56 GMT",
"version": "v1"
}
] | 2020-12-02 | [
[
"Zhang",
"Zhengyan",
""
],
[
"Han",
"Xu",
""
],
[
"Zhou",
"Hao",
""
],
[
"Ke",
"Pei",
""
],
[
"Gu",
"Yuxian",
""
],
[
"Ye",
"Deming",
""
],
[
"Qin",
"Yujia",
""
],
[
"Su",
"Yusheng",
""
],... | Pre-trained Language Models (PLMs) have proven to be beneficial for various downstream NLP tasks. Recently, GPT-3, with 175 billion parameters and 570GB training data, drew a lot of attention due to the capacity of few-shot (even zero-shot) learning. However, applying GPT-3 to address Chinese NLP tasks is still challen... |
1805.02744 | Junjie Wang | Junjie Wang and Ye Yang and Rahul Krishna and Tim Menzies and Qing
Wang | Effective Automated Decision Support for Managing Crowdtesting | 12 pages | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Crowdtesting has grown to be an effective alter-native to traditional
testing, especially in mobile apps. However,crowdtesting is hard to manage in
nature. Given the complexity of mobile applications and unpredictability of
distributed, parallel crowdtesting process, it is difficult to estimate (a) the
remaining numb... | [
{
"created": "Mon, 7 May 2018 21:07:42 GMT",
"version": "v1"
}
] | 2018-05-09 | [
[
"Wang",
"Junjie",
""
],
[
"Yang",
"Ye",
""
],
[
"Krishna",
"Rahul",
""
],
[
"Menzies",
"Tim",
""
],
[
"Wang",
"Qing",
""
]
] | Crowdtesting has grown to be an effective alter-native to traditional testing, especially in mobile apps. However,crowdtesting is hard to manage in nature. Given the complexity of mobile applications and unpredictability of distributed, parallel crowdtesting process, it is difficult to estimate (a) the remaining number... |
2301.08951 | Chengmin Gao | Chengmin Gao and Bin Li | Time-Conditioned Generative Modeling of Object-Centric Representations
for Video Decomposition and Prediction | null | Proceedings of the 39th Conference on Uncertainty in Artificial
Intelligence (UAI-23), pp.613-623, 2023 | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | When perceiving the world from multiple viewpoints, humans have the ability
to reason about the complete objects in a compositional manner even when an
object is completely occluded from certain viewpoints. Meanwhile, humans are
able to imagine novel views after observing multiple viewpoints. Recent
remarkable advanc... | [
{
"created": "Sat, 21 Jan 2023 13:39:39 GMT",
"version": "v1"
},
{
"created": "Fri, 27 Jan 2023 06:01:24 GMT",
"version": "v2"
},
{
"created": "Wed, 7 Jun 2023 15:54:03 GMT",
"version": "v3"
},
{
"created": "Thu, 26 Oct 2023 10:07:02 GMT",
"version": "v4"
}
] | 2023-10-27 | [
[
"Gao",
"Chengmin",
""
],
[
"Li",
"Bin",
""
]
] | When perceiving the world from multiple viewpoints, humans have the ability to reason about the complete objects in a compositional manner even when an object is completely occluded from certain viewpoints. Meanwhile, humans are able to imagine novel views after observing multiple viewpoints. Recent remarkable advances... |
2408.06665 | Shuqi He | Shuqi He, Jun Zhuang, Ding Wang, Jun Song | RW-NSGCN: A Robust Approach to Structural Attacks via Negative Sampling | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Node classification using Graph Neural Networks (GNNs) has been widely
applied in various practical scenarios, such as predicting user interests and
detecting communities in social networks. However, recent studies have shown
that graph-structured networks often contain potential noise and attacks, in
the form of top... | [
{
"created": "Tue, 13 Aug 2024 06:34:56 GMT",
"version": "v1"
}
] | 2024-08-14 | [
[
"He",
"Shuqi",
""
],
[
"Zhuang",
"Jun",
""
],
[
"Wang",
"Ding",
""
],
[
"Song",
"Jun",
""
]
] | Node classification using Graph Neural Networks (GNNs) has been widely applied in various practical scenarios, such as predicting user interests and detecting communities in social networks. However, recent studies have shown that graph-structured networks often contain potential noise and attacks, in the form of topol... |
2310.18263 | Anoop V. S. | Adhish S. Sujan, Ajitha. V, Aleena Benny, Amiya M. P., V. S. Anoop | MalFake: A Multimodal Fake News Identification for Malayalam using
Recurrent Neural Networks and VGG-16 | null | null | null | null | cs.CL cs.CY | http://creativecommons.org/licenses/by/4.0/ | The amount of news being consumed online has substantially expanded in recent
years. Fake news has become increasingly common, especially in regional
languages like Malayalam, due to the rapid publication and lack of editorial
standards on some online sites. Fake news may have a terrible effect on
society, causing pe... | [
{
"created": "Fri, 27 Oct 2023 16:51:29 GMT",
"version": "v1"
}
] | 2023-10-30 | [
[
"Sujan",
"Adhish S.",
""
],
[
"V",
"Ajitha.",
""
],
[
"Benny",
"Aleena",
""
],
[
"P.",
"Amiya M.",
""
],
[
"Anoop",
"V. S.",
""
]
] | The amount of news being consumed online has substantially expanded in recent years. Fake news has become increasingly common, especially in regional languages like Malayalam, due to the rapid publication and lack of editorial standards on some online sites. Fake news may have a terrible effect on society, causing peop... |
2306.12977 | Wonjae Shin | Jaehyup Seong, Mesut Toka, Wonjae Shin | Sum-Rate Maximization of RSMA-based Aerial Communications with Energy
Harvesting: A Reinforcement Learning Approach | 13 pages, 4 figures, submitted to IEEE Wireless Communications
Letters | null | null | null | cs.IT cs.LG math.IT | http://creativecommons.org/licenses/by/4.0/ | In this letter, we investigate a joint power and beamforming design problem
for rate-splitting multiple access (RSMA)-based aerial communications with
energy harvesting, where a self-sustainable aerial base station serves multiple
users by utilizing the harvested energy. Considering maximizing the sum-rate
from the l... | [
{
"created": "Thu, 22 Jun 2023 15:38:22 GMT",
"version": "v1"
}
] | 2023-06-23 | [
[
"Seong",
"Jaehyup",
""
],
[
"Toka",
"Mesut",
""
],
[
"Shin",
"Wonjae",
""
]
] | In this letter, we investigate a joint power and beamforming design problem for rate-splitting multiple access (RSMA)-based aerial communications with energy harvesting, where a self-sustainable aerial base station serves multiple users by utilizing the harvested energy. Considering maximizing the sum-rate from the lon... |
1512.09287 | Vladimir Potapov N. | Vladimir N. Potapov | Partial covering arrays for data hiding and quantization | 7 pages | SEMR, 2018. V. 15, P. 561-569 | 10.17377/semi.2018.15.045 | null | cs.IT math.CO math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of finding a set (partial covering array) $S$ of
vertices of the Boolean $n$-cube having cardinality $2^{n-k}$ and intersecting
with maximum number of $k$-dimensional faces. We prove that the ratio between
the numbers of the $k$-faces containing elements of $S$ to $k$-faces is less
than $1-\fr... | [
{
"created": "Thu, 31 Dec 2015 13:32:24 GMT",
"version": "v1"
},
{
"created": "Sat, 5 Aug 2017 04:48:31 GMT",
"version": "v2"
}
] | 2018-11-01 | [
[
"Potapov",
"Vladimir N.",
""
]
] | We consider the problem of finding a set (partial covering array) $S$ of vertices of the Boolean $n$-cube having cardinality $2^{n-k}$ and intersecting with maximum number of $k$-dimensional faces. We prove that the ratio between the numbers of the $k$-faces containing elements of $S$ to $k$-faces is less than $1-\frac... |
2307.02276 | Ben Norman | Ben Norman, Jeff Clune | First-Explore, then Exploit: Meta-Learning Intelligent Exploration | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Standard reinforcement learning (RL) agents never intelligently explore like
a human (i.e. by taking into account complex domain priors and previous
explorations). Even the most basic intelligent exploration strategies such as
exhaustive search are only inefficiently or poorly approximated by approaches
such as novel... | [
{
"created": "Wed, 5 Jul 2023 13:20:21 GMT",
"version": "v1"
}
] | 2023-07-06 | [
[
"Norman",
"Ben",
""
],
[
"Clune",
"Jeff",
""
]
] | Standard reinforcement learning (RL) agents never intelligently explore like a human (i.e. by taking into account complex domain priors and previous explorations). Even the most basic intelligent exploration strategies such as exhaustive search are only inefficiently or poorly approximated by approaches such as novelty... |
2401.08415 | Arda Senocak | Jiu Feng, Mehmet Hamza Erol, Joon Son Chung, Arda Senocak | From Coarse to Fine: Efficient Training for Audio Spectrogram
Transformers | ICASSP 2024 | null | null | null | cs.SD cs.LG eess.AS | http://creativecommons.org/licenses/by/4.0/ | Transformers have become central to recent advances in audio classification.
However, training an audio spectrogram transformer, e.g. AST, from scratch can
be resource and time-intensive. Furthermore, the complexity of transformers
heavily depends on the input audio spectrogram size. In this work, we aim to
optimize ... | [
{
"created": "Tue, 16 Jan 2024 14:59:37 GMT",
"version": "v1"
}
] | 2024-01-17 | [
[
"Feng",
"Jiu",
""
],
[
"Erol",
"Mehmet Hamza",
""
],
[
"Chung",
"Joon Son",
""
],
[
"Senocak",
"Arda",
""
]
] | Transformers have become central to recent advances in audio classification. However, training an audio spectrogram transformer, e.g. AST, from scratch can be resource and time-intensive. Furthermore, the complexity of transformers heavily depends on the input audio spectrogram size. In this work, we aim to optimize AS... |
2401.09366 | Thomas Lamiaux | Thomas Lamiaux, Benedikt Ahrens | An Introduction to Different Approaches to Initial Semantics | null | null | null | null | cs.LO cs.PL | http://creativecommons.org/licenses/by/4.0/ | Characterizing programming languages with variable binding as initial
objects, was first achieved by Fiore, Plotkin, and Turi in their seminal paper
published at LICS'99. To do so, in particular to prove initiality theorems,
they developed a framework based on monoidal categories, functors with
strengths, and $\Sigma... | [
{
"created": "Wed, 17 Jan 2024 17:36:26 GMT",
"version": "v1"
}
] | 2024-01-18 | [
[
"Lamiaux",
"Thomas",
""
],
[
"Ahrens",
"Benedikt",
""
]
] | Characterizing programming languages with variable binding as initial objects, was first achieved by Fiore, Plotkin, and Turi in their seminal paper published at LICS'99. To do so, in particular to prove initiality theorems, they developed a framework based on monoidal categories, functors with strengths, and $\Sigma$-... |
1903.08097 | Alessandra Cervone | Alessandra Cervone, Chandra Khatri, Rahul Goel, Behnam Hedayatnia, Anu
Venkatesh, Dilek Hakkani-Tur, Raefer Gabriel | Natural Language Generation at Scale: A Case Study for Open Domain
Question Answering | Accepted to INLG 2019 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Current approaches to Natural Language Generation (NLG) for dialog mainly
focus on domain-specific, task-oriented applications (e.g. restaurant booking)
using limited ontologies (up to 20 slot types), usually without considering the
previous conversation context. Furthermore, these approaches require large
amounts of... | [
{
"created": "Tue, 19 Mar 2019 16:35:29 GMT",
"version": "v1"
},
{
"created": "Mon, 23 Sep 2019 21:25:39 GMT",
"version": "v2"
}
] | 2019-09-25 | [
[
"Cervone",
"Alessandra",
""
],
[
"Khatri",
"Chandra",
""
],
[
"Goel",
"Rahul",
""
],
[
"Hedayatnia",
"Behnam",
""
],
[
"Venkatesh",
"Anu",
""
],
[
"Hakkani-Tur",
"Dilek",
""
],
[
"Gabriel",
"Raefer",
""
]... | Current approaches to Natural Language Generation (NLG) for dialog mainly focus on domain-specific, task-oriented applications (e.g. restaurant booking) using limited ontologies (up to 20 slot types), usually without considering the previous conversation context. Furthermore, these approaches require large amounts of d... |
1707.04783 | Honggang Hu | Honggang Hu, Xiaolong Yang, and Shaohua Tang | New Classes of Ternary Bent Functions from the Coulter-Matthews Bent
Functions | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | It has been an active research issue for many years to construct new bent
functions. For $k$ odd with $\gcd(n, k)=1$, and $a\in\mathbb{F}_{3^n}^{*}$, the
function $f(x)=Tr(ax^{\frac{3^k+1}{2}})$ is weakly regular bent over
$\mathbb{F}_{3^n}$, where $Tr(\cdot):\mathbb{F}_{3^n}\rightarrow\mathbb{F}_3$
is the trace func... | [
{
"created": "Sat, 15 Jul 2017 20:05:08 GMT",
"version": "v1"
}
] | 2017-07-18 | [
[
"Hu",
"Honggang",
""
],
[
"Yang",
"Xiaolong",
""
],
[
"Tang",
"Shaohua",
""
]
] | It has been an active research issue for many years to construct new bent functions. For $k$ odd with $\gcd(n, k)=1$, and $a\in\mathbb{F}_{3^n}^{*}$, the function $f(x)=Tr(ax^{\frac{3^k+1}{2}})$ is weakly regular bent over $\mathbb{F}_{3^n}$, where $Tr(\cdot):\mathbb{F}_{3^n}\rightarrow\mathbb{F}_3$ is the trace functi... |
2406.19538 | Anthony Rios | Dan Schumacher, Fatemeh Haji, Tara Grey, Niharika Bandlamudi, Nupoor
Karnik, Gagana Uday Kumar, Jason Cho-Yu Chiang, Paul Rad, Nishant
Vishwamitra, Anthony Rios | Context Matters: An Empirical Study of the Impact of Contextual
Information in Temporal Question Answering Systems | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Large language models (LLMs) often struggle with temporal reasoning, crucial
for tasks like historical event analysis and time-sensitive information
retrieval. Despite advancements, state-of-the-art models falter in handling
temporal information, especially when faced with irrelevant or noisy contexts.
This paper add... | [
{
"created": "Thu, 27 Jun 2024 21:31:30 GMT",
"version": "v1"
}
] | 2024-07-01 | [
[
"Schumacher",
"Dan",
""
],
[
"Haji",
"Fatemeh",
""
],
[
"Grey",
"Tara",
""
],
[
"Bandlamudi",
"Niharika",
""
],
[
"Karnik",
"Nupoor",
""
],
[
"Kumar",
"Gagana Uday",
""
],
[
"Chiang",
"Jason Cho-Yu",
""
]... | Large language models (LLMs) often struggle with temporal reasoning, crucial for tasks like historical event analysis and time-sensitive information retrieval. Despite advancements, state-of-the-art models falter in handling temporal information, especially when faced with irrelevant or noisy contexts. This paper addre... |
2104.02937 | Miguel A. Mosteiro | Dariusz R. Kowalski and Miguel A. Mosteiro | Polynomial Anonymous Dynamic Distributed Computing without a Unique
Leader | arXiv admin note: text overlap with arXiv:1707.04282 | null | null | null | cs.DC | http://creativecommons.org/licenses/by/4.0/ | Counting the number of nodes in Anonymous Dynamic Networks is enticing from
an algorithmic perspective: an important computation in a restricted platform
with promising applications. Starting with Michail, Chatzigiannakis, and
Spirakis [19], a flurry of papers sped up the running time guarantees from
doubly-exponenti... | [
{
"created": "Wed, 7 Apr 2021 06:12:52 GMT",
"version": "v1"
}
] | 2021-04-08 | [
[
"Kowalski",
"Dariusz R.",
""
],
[
"Mosteiro",
"Miguel A.",
""
]
] | Counting the number of nodes in Anonymous Dynamic Networks is enticing from an algorithmic perspective: an important computation in a restricted platform with promising applications. Starting with Michail, Chatzigiannakis, and Spirakis [19], a flurry of papers sped up the running time guarantees from doubly-exponential... |
2004.02438 | Xuming Hu | Xuming Hu, Chenwei Zhang, Yusong Xu, Lijie Wen, Philip S. Yu | SelfORE: Self-supervised Relational Feature Learning for Open Relation
Extraction | In EMNLP 2020 as a long paper. Code and data are available at
https://github.com/THU-BPM/SelfORE | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Open relation extraction is the task of extracting open-domain relation facts
from natural language sentences. Existing works either utilize heuristics or
distant-supervised annotations to train a supervised classifier over
pre-defined relations, or adopt unsupervised methods with additional
assumptions that have les... | [
{
"created": "Mon, 6 Apr 2020 07:23:17 GMT",
"version": "v1"
},
{
"created": "Tue, 6 Oct 2020 12:32:20 GMT",
"version": "v2"
}
] | 2020-10-07 | [
[
"Hu",
"Xuming",
""
],
[
"Zhang",
"Chenwei",
""
],
[
"Xu",
"Yusong",
""
],
[
"Wen",
"Lijie",
""
],
[
"Yu",
"Philip S.",
""
]
] | Open relation extraction is the task of extracting open-domain relation facts from natural language sentences. Existing works either utilize heuristics or distant-supervised annotations to train a supervised classifier over pre-defined relations, or adopt unsupervised methods with additional assumptions that have less ... |
2209.14265 | Peng Yin | Shreyas Kulkarni, Peng Yin, and Sebastian Scherer | 360FusionNeRF: Panoramic Neural Radiance Fields with Joint Guidance | 8 pages, Fig 3, Submitted to IEEE RAL. arXiv admin note: text overlap
with arXiv:2106.10859, arXiv:2104.00677, arXiv:2203.09957, arXiv:2204.00928
by other authors | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a method to synthesize novel views from a single $360^\circ$
panorama image based on the neural radiance field (NeRF). Prior studies in a
similar setting rely on the neighborhood interpolation capability of
multi-layer perceptions to complete missing regions caused by occlusion, which
leads to artifacts in... | [
{
"created": "Wed, 28 Sep 2022 17:30:53 GMT",
"version": "v1"
},
{
"created": "Mon, 3 Oct 2022 07:31:30 GMT",
"version": "v2"
}
] | 2022-10-04 | [
[
"Kulkarni",
"Shreyas",
""
],
[
"Yin",
"Peng",
""
],
[
"Scherer",
"Sebastian",
""
]
] | We present a method to synthesize novel views from a single $360^\circ$ panorama image based on the neural radiance field (NeRF). Prior studies in a similar setting rely on the neighborhood interpolation capability of multi-layer perceptions to complete missing regions caused by occlusion, which leads to artifacts in t... |
1801.08985 | Steven Hickson | Steven Hickson, Anelia Angelova, Irfan Essa, Rahul Sukthankar | Object category learning and retrieval with weak supervision | Camera-ready version for NIPS 2017 workshop Learning with Limited
Labeled Data | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of retrieving objects from image data and learning to
classify them into meaningful semantic categories with minimal supervision. To
that end, we propose a fully differentiable unsupervised deep clustering
approach to learn semantic classes in an end-to-end fashion without individual
class lab... | [
{
"created": "Fri, 26 Jan 2018 21:47:59 GMT",
"version": "v1"
},
{
"created": "Mon, 23 Jul 2018 20:22:15 GMT",
"version": "v2"
}
] | 2018-07-25 | [
[
"Hickson",
"Steven",
""
],
[
"Angelova",
"Anelia",
""
],
[
"Essa",
"Irfan",
""
],
[
"Sukthankar",
"Rahul",
""
]
] | We consider the problem of retrieving objects from image data and learning to classify them into meaningful semantic categories with minimal supervision. To that end, we propose a fully differentiable unsupervised deep clustering approach to learn semantic classes in an end-to-end fashion without individual class label... |
1712.00269 | Nikolay Jetchev | Nikolay Jetchev, Urs Bergmann, Calvin Seward | GANosaic: Mosaic Creation with Generative Texture Manifolds | 31st Conference on Neural Information Processing Systems (NIPS 2017),
Long Beach, CA, USA. Workshop on Machine Learning for Creativity and Design | null | null | null | cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a novel framework for generating texture mosaics with
convolutional neural networks. Our method is called GANosaic and performs
optimization in the latent noise space of a generative texture model, which
allows the transformation of a content image into a mosaic exhibiting the
visual properties of... | [
{
"created": "Fri, 1 Dec 2017 10:35:13 GMT",
"version": "v1"
}
] | 2017-12-04 | [
[
"Jetchev",
"Nikolay",
""
],
[
"Bergmann",
"Urs",
""
],
[
"Seward",
"Calvin",
""
]
] | This paper presents a novel framework for generating texture mosaics with convolutional neural networks. Our method is called GANosaic and performs optimization in the latent noise space of a generative texture model, which allows the transformation of a content image into a mosaic exhibiting the visual properties of t... |
1308.6797 | Nir Ailon | Nir Ailon | Online Ranking: Discrete Choice, Spearman Correlation and Other Feedback | null | null | null | null | cs.LG cs.GT stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given a set $V$ of $n$ objects, an online ranking system outputs at each time
step a full ranking of the set, observes a feedback of some form and suffers a
loss. We study the setting in which the (adversarial) feedback is an element in
$V$, and the loss is the position (0th, 1st, 2nd...) of the item in the
outputted... | [
{
"created": "Fri, 30 Aug 2013 17:03:16 GMT",
"version": "v1"
},
{
"created": "Mon, 2 Sep 2013 02:18:18 GMT",
"version": "v2"
},
{
"created": "Sun, 8 Sep 2013 02:52:39 GMT",
"version": "v3"
},
{
"created": "Wed, 25 Sep 2013 22:05:33 GMT",
"version": "v4"
},
{
"cre... | 2013-10-15 | [
[
"Ailon",
"Nir",
""
]
] | Given a set $V$ of $n$ objects, an online ranking system outputs at each time step a full ranking of the set, observes a feedback of some form and suffers a loss. We study the setting in which the (adversarial) feedback is an element in $V$, and the loss is the position (0th, 1st, 2nd...) of the item in the outputted r... |
1809.01984 | Pierre-Emmanuel Mazar\'e | Pierre-Emmanuel Mazar\'e, Samuel Humeau, Martin Raison, Antoine Bordes | Training Millions of Personalized Dialogue Agents | EMNLP 2018 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Current dialogue systems are not very engaging for users, especially when
trained end-to-end without relying on proactive reengaging scripted strategies.
Zhang et al. (2018) showed that the engagement level of end-to-end dialogue
models increases when conditioning them on text personas providing some
personalized bac... | [
{
"created": "Thu, 6 Sep 2018 13:36:40 GMT",
"version": "v1"
}
] | 2018-09-07 | [
[
"Mazaré",
"Pierre-Emmanuel",
""
],
[
"Humeau",
"Samuel",
""
],
[
"Raison",
"Martin",
""
],
[
"Bordes",
"Antoine",
""
]
] | Current dialogue systems are not very engaging for users, especially when trained end-to-end without relying on proactive reengaging scripted strategies. Zhang et al. (2018) showed that the engagement level of end-to-end dialogue models increases when conditioning them on text personas providing some personalized back-... |
2408.07326 | Seongmin Hong | Seungjae Moon, Jung-Hoon Kim, Junsoo Kim, Seongmin Hong, Junseo Cha,
Minsu Kim, Sukbin Lim, Gyubin Choi, Dongjin Seo, Jongho Kim, Hunjong Lee,
Hyunjun Park, Ryeowook Ko, Soongyu Choi, Jongse Park, Jinwon Lee, Joo-Young
Kim | LPU: A Latency-Optimized and Highly Scalable Processor for Large
Language Model Inference | null | null | null | null | cs.AR | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The explosive arrival of OpenAI's ChatGPT has fueled the globalization of
large language model (LLM), which consists of billions of pretrained parameters
that embodies the aspects of syntax and semantics. HyperAccel introduces
latency processing unit (LPU), a latency-optimized and highly scalable
processor architectu... | [
{
"created": "Wed, 14 Aug 2024 06:56:20 GMT",
"version": "v1"
}
] | 2024-08-15 | [
[
"Moon",
"Seungjae",
""
],
[
"Kim",
"Jung-Hoon",
""
],
[
"Kim",
"Junsoo",
""
],
[
"Hong",
"Seongmin",
""
],
[
"Cha",
"Junseo",
""
],
[
"Kim",
"Minsu",
""
],
[
"Lim",
"Sukbin",
""
],
[
"Choi",
"Gy... | The explosive arrival of OpenAI's ChatGPT has fueled the globalization of large language model (LLM), which consists of billions of pretrained parameters that embodies the aspects of syntax and semantics. HyperAccel introduces latency processing unit (LPU), a latency-optimized and highly scalable processor architecture... |
2406.16707 | Vivienne Huiling Wang | Vivienne Huiling Wang, Tinghuai Wang, Wenyan Yang, Joni-Kristian
K\"am\"ar\"ainen, Joni Pajarinen | Probabilistic Subgoal Representations for Hierarchical Reinforcement
learning | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | In goal-conditioned hierarchical reinforcement learning (HRL), a high-level
policy specifies a subgoal for the low-level policy to reach. Effective HRL
hinges on a suitable subgoal represen tation function, abstracting state space
into latent subgoal space and inducing varied low-level behaviors. Existing
methods ado... | [
{
"created": "Mon, 24 Jun 2024 15:09:22 GMT",
"version": "v1"
}
] | 2024-06-25 | [
[
"Wang",
"Vivienne Huiling",
""
],
[
"Wang",
"Tinghuai",
""
],
[
"Yang",
"Wenyan",
""
],
[
"Kämäräinen",
"Joni-Kristian",
""
],
[
"Pajarinen",
"Joni",
""
]
] | In goal-conditioned hierarchical reinforcement learning (HRL), a high-level policy specifies a subgoal for the low-level policy to reach. Effective HRL hinges on a suitable subgoal represen tation function, abstracting state space into latent subgoal space and inducing varied low-level behaviors. Existing methods adopt... |
2210.04026 | Yun Liu | Yun Liu, Xiaomeng Xu, Weihang Chen, Haocheng Yuan, He Wang, Jing Xu,
Rui Chen, Li Yi | Enhancing Generalizable 6D Pose Tracking of an In-Hand Object with
Tactile Sensing | null | null | 10.1109/LRA.2023.3337690 | null | cs.CV cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | When manipulating an object to accomplish complex tasks, humans rely on both
vision and touch to keep track of the object's 6D pose. However, most existing
object pose tracking systems in robotics rely exclusively on visual signals,
which hinder a robot's ability to manipulate objects effectively. To address
this lim... | [
{
"created": "Sat, 8 Oct 2022 13:47:03 GMT",
"version": "v1"
},
{
"created": "Sat, 23 Dec 2023 14:54:29 GMT",
"version": "v2"
}
] | 2023-12-27 | [
[
"Liu",
"Yun",
""
],
[
"Xu",
"Xiaomeng",
""
],
[
"Chen",
"Weihang",
""
],
[
"Yuan",
"Haocheng",
""
],
[
"Wang",
"He",
""
],
[
"Xu",
"Jing",
""
],
[
"Chen",
"Rui",
""
],
[
"Yi",
"Li",
""
]
] | When manipulating an object to accomplish complex tasks, humans rely on both vision and touch to keep track of the object's 6D pose. However, most existing object pose tracking systems in robotics rely exclusively on visual signals, which hinder a robot's ability to manipulate objects effectively. To address this limit... |
2106.08670 | Vimukthini Pinto | Vimukthini Pinto, Cheng Xue, Chathura Nagoda Gamage, Matthew
Stephenson and Jochen Renz | The Difficulty of Novelty Detection in Open-World Physical Domains: An
Application to Angry Birds | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Detecting and responding to novel situations in open-world environments is a
key capability of human cognition and is a persistent problem for AI systems.
In an open-world, novelties can appear in many different forms and may be easy
or hard to detect. Therefore, to accurately evaluate the novelty detection
capabilit... | [
{
"created": "Wed, 16 Jun 2021 10:14:09 GMT",
"version": "v1"
},
{
"created": "Sun, 25 Jun 2023 07:41:19 GMT",
"version": "v2"
}
] | 2023-06-27 | [
[
"Pinto",
"Vimukthini",
""
],
[
"Xue",
"Cheng",
""
],
[
"Gamage",
"Chathura Nagoda",
""
],
[
"Stephenson",
"Matthew",
""
],
[
"Renz",
"Jochen",
""
]
] | Detecting and responding to novel situations in open-world environments is a key capability of human cognition and is a persistent problem for AI systems. In an open-world, novelties can appear in many different forms and may be easy or hard to detect. Therefore, to accurately evaluate the novelty detection capability ... |
1807.07203 | Nakamasa Inoue | Nakamasa Inoue, Koichi Shinoda | Few-Shot Adaptation for Multimedia Semantic Indexing | null | null | null | null | cs.MM cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a few-shot adaptation framework, which bridges zero-shot learning
and supervised many-shot learning, for semantic indexing of image and video
data. Few-shot adaptation provides robust parameter estimation with few
training examples, by optimizing the parameters of zero-shot learning and
supervised many-sho... | [
{
"created": "Thu, 19 Jul 2018 00:58:33 GMT",
"version": "v1"
}
] | 2018-07-20 | [
[
"Inoue",
"Nakamasa",
""
],
[
"Shinoda",
"Koichi",
""
]
] | We propose a few-shot adaptation framework, which bridges zero-shot learning and supervised many-shot learning, for semantic indexing of image and video data. Few-shot adaptation provides robust parameter estimation with few training examples, by optimizing the parameters of zero-shot learning and supervised many-shot ... |
2203.14208 | En Yu | En Yu, Zhuoling Li, Shoudong Han | Towards Discriminative Representation: Multi-view Trajectory Contrastive
Learning for Online Multi-object Tracking | Accepted by CVPR2022 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Discriminative representation is crucial for the association step in
multi-object tracking. Recent work mainly utilizes features in single or
neighboring frames for constructing metric loss and empowering networks to
extract representation of targets. Although this strategy is effective, it
fails to fully exploit the... | [
{
"created": "Sun, 27 Mar 2022 04:53:31 GMT",
"version": "v1"
},
{
"created": "Tue, 5 Apr 2022 11:09:27 GMT",
"version": "v2"
}
] | 2022-04-06 | [
[
"Yu",
"En",
""
],
[
"Li",
"Zhuoling",
""
],
[
"Han",
"Shoudong",
""
]
] | Discriminative representation is crucial for the association step in multi-object tracking. Recent work mainly utilizes features in single or neighboring frames for constructing metric loss and empowering networks to extract representation of targets. Although this strategy is effective, it fails to fully exploit the i... |
1608.04017 | Maziar Mirzazad Barijough | J.J. Garcia-Luna-Aceves, Maziar Mirzazad Barijough | Efficient Multicasting in Content-Centric Networks Using Datagrams | arXiv admin note: text overlap with arXiv:1603.08491 | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Named Data Networking (NDN) and Content-Centric Networking (CCNx)
architectures are the leading approaches for content-centric networking, and
both require using Interests (requests that elicit content) and maintaining
per-Interest forwarding state in Pending Interest Tables (PIT) to store
per-Interest forwarding... | [
{
"created": "Sat, 13 Aug 2016 18:42:32 GMT",
"version": "v1"
}
] | 2016-08-16 | [
[
"Garcia-Luna-Aceves",
"J. J.",
""
],
[
"Barijough",
"Maziar Mirzazad",
""
]
] | The Named Data Networking (NDN) and Content-Centric Networking (CCNx) architectures are the leading approaches for content-centric networking, and both require using Interests (requests that elicit content) and maintaining per-Interest forwarding state in Pending Interest Tables (PIT) to store per-Interest forwarding s... |
2102.06783 | George Mertzios | George B. Mertzios, Hendrik Molter, Malte Renken, Paul G. Spirakis,
Philipp Zschoche | The Complexity of Transitively Orienting Temporal Graphs | null | null | null | null | cs.DS cs.CC cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In a temporal network with discrete time-labels on its edges, entities and
information can only "flow" along sequences of edges whose time-labels are
non-decreasing (resp. increasing), i.e. along temporal (resp. strict temporal)
paths. Nevertheless, in the model for temporal networks of [Kempe et al., JCSS,
2002], th... | [
{
"created": "Fri, 12 Feb 2021 21:39:26 GMT",
"version": "v1"
},
{
"created": "Sat, 8 Jul 2023 02:18:57 GMT",
"version": "v2"
}
] | 2023-07-11 | [
[
"Mertzios",
"George B.",
""
],
[
"Molter",
"Hendrik",
""
],
[
"Renken",
"Malte",
""
],
[
"Spirakis",
"Paul G.",
""
],
[
"Zschoche",
"Philipp",
""
]
] | In a temporal network with discrete time-labels on its edges, entities and information can only "flow" along sequences of edges whose time-labels are non-decreasing (resp. increasing), i.e. along temporal (resp. strict temporal) paths. Nevertheless, in the model for temporal networks of [Kempe et al., JCSS, 2002], the ... |
1111.6223 | Mingyi Hong | Mingyi Hong, Alfredo Garcia, J. Joaquin Escudero Garzas, Ana
Garcia-Armada | Lower Bounds Optimization for Coordinated Linear Transmission Beamformer
Design in Multicell Network Downlink | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the coordinated downlink beamforming problem in a cellular
network with the base stations (BSs) equipped with multiple antennas, and with
each user equipped with a single antenna. The BSs cooperate in sharing their
local interference information, and they aim at maximizing the sum rate of the
users in the... | [
{
"created": "Sun, 27 Nov 2011 03:48:04 GMT",
"version": "v1"
}
] | 2011-11-29 | [
[
"Hong",
"Mingyi",
""
],
[
"Garcia",
"Alfredo",
""
],
[
"Garzas",
"J. Joaquin Escudero",
""
],
[
"Garcia-Armada",
"Ana",
""
]
] | We consider the coordinated downlink beamforming problem in a cellular network with the base stations (BSs) equipped with multiple antennas, and with each user equipped with a single antenna. The BSs cooperate in sharing their local interference information, and they aim at maximizing the sum rate of the users in the n... |
1804.09118 | Robert Shorten | J. O'Connell, B. Cardiff, R. Shorten | dockChain: A Solution for Electric Vehicles Charge Point Anxiety | A version of this paper is accepted for presentation at the 21st IEEE
International Conference on Intelligent Transportation Systems | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper addresses Charge Point Anxiety surrounding electric vehicles
(EVs), an issue preventing the mass adoption of this greener mode of transport.
We discuss the design and implementation of a charge point adapter called
\textit{dockChain} that will help mitigate Charge Point Anxiety. The key
feature of the dock... | [
{
"created": "Tue, 24 Apr 2018 16:12:31 GMT",
"version": "v1"
},
{
"created": "Sat, 20 Oct 2018 21:31:49 GMT",
"version": "v2"
}
] | 2018-10-23 | [
[
"O'Connell",
"J.",
""
],
[
"Cardiff",
"B.",
""
],
[
"Shorten",
"R.",
""
]
] | This paper addresses Charge Point Anxiety surrounding electric vehicles (EVs), an issue preventing the mass adoption of this greener mode of transport. We discuss the design and implementation of a charge point adapter called \textit{dockChain} that will help mitigate Charge Point Anxiety. The key feature of the dockCh... |
2211.01753 | Md Tanvirul Alam | Md Tanvirul Alam, Dipkamal Bhusal, Youngja Park and Nidhi Rastogi | Looking Beyond IoCs: Automatically Extracting Attack Patterns from
External CTI | null | null | null | null | cs.CR cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Public and commercial organizations extensively share cyberthreat
intelligence (CTI) to prepare systems to defend against existing and emerging
cyberattacks. However, traditional CTI has primarily focused on tracking known
threat indicators such as IP addresses and domain names, which may not provide
long-term value ... | [
{
"created": "Tue, 1 Nov 2022 12:16:30 GMT",
"version": "v1"
},
{
"created": "Tue, 11 Jul 2023 22:46:12 GMT",
"version": "v2"
}
] | 2023-07-13 | [
[
"Alam",
"Md Tanvirul",
""
],
[
"Bhusal",
"Dipkamal",
""
],
[
"Park",
"Youngja",
""
],
[
"Rastogi",
"Nidhi",
""
]
] | Public and commercial organizations extensively share cyberthreat intelligence (CTI) to prepare systems to defend against existing and emerging cyberattacks. However, traditional CTI has primarily focused on tracking known threat indicators such as IP addresses and domain names, which may not provide long-term value in... |
2101.03285 | Yu Tian | Yu Tian, Leonardo Zorron Cheng Tao Pu, Yuyuan Liu, Gabriel Maicas,
Johan W. Verjans, Alastair D. Burt, Seon Ho Shin, Rajvinder Singh, Gustavo
Carneiro | Detecting, Localising and Classifying Polyps from Colonoscopy Videos
using Deep Learning | Preprint to submit to IEEE journals | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose and analyse a system that can automatically detect,
localise and classify polyps from colonoscopy videos. The detection of frames
with polyps is formulated as a few-shot anomaly classification problem, where
the training set is highly imbalanced with the large majority of frames
consisting o... | [
{
"created": "Sat, 9 Jan 2021 04:25:34 GMT",
"version": "v1"
}
] | 2021-01-12 | [
[
"Tian",
"Yu",
""
],
[
"Pu",
"Leonardo Zorron Cheng Tao",
""
],
[
"Liu",
"Yuyuan",
""
],
[
"Maicas",
"Gabriel",
""
],
[
"Verjans",
"Johan W.",
""
],
[
"Burt",
"Alastair D.",
""
],
[
"Shin",
"Seon Ho",
""
]... | In this paper, we propose and analyse a system that can automatically detect, localise and classify polyps from colonoscopy videos. The detection of frames with polyps is formulated as a few-shot anomaly classification problem, where the training set is highly imbalanced with the large majority of frames consisting of ... |
2109.03551 | Wen-Chin Huang | Yi-Syuan Liou, Wen-Chin Huang, Ming-Chi Yen, Shu-Wei Tsai, Yu-Huai
Peng, Tomoki Toda, Yu Tsao, Hsin-Min Wang | Time Alignment using Lip Images for Frame-based Electrolaryngeal Voice
Conversion | Accepted to APSIPA ASC 2021 | null | null | null | cs.SD cs.CL cs.CV eess.AS | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Voice conversion (VC) is an effective approach to electrolaryngeal (EL)
speech enhancement, a task that aims to improve the quality of the artificial
voice from an electrolarynx device. In frame-based VC methods, time alignment
needs to be performed prior to model training, and the dynamic time warping
(DTW) algorith... | [
{
"created": "Wed, 8 Sep 2021 11:24:09 GMT",
"version": "v1"
}
] | 2021-09-09 | [
[
"Liou",
"Yi-Syuan",
""
],
[
"Huang",
"Wen-Chin",
""
],
[
"Yen",
"Ming-Chi",
""
],
[
"Tsai",
"Shu-Wei",
""
],
[
"Peng",
"Yu-Huai",
""
],
[
"Toda",
"Tomoki",
""
],
[
"Tsao",
"Yu",
""
],
[
"Wang",
... | Voice conversion (VC) is an effective approach to electrolaryngeal (EL) speech enhancement, a task that aims to improve the quality of the artificial voice from an electrolarynx device. In frame-based VC methods, time alignment needs to be performed prior to model training, and the dynamic time warping (DTW) algorithm ... |
1301.2046 | A. Emre Cetin | A. Emre Cetin | In-situ associative permuting | 12 pages | null | null | null | cs.DS | http://creativecommons.org/licenses/by-nc-sa/3.0/ | The technique of in-situ associative permuting is introduced which is an
association of in-situ permuting and in-situ inverting. It is suitable for
associatively permutable permutations of {1,2,...,n} where the elements that
will be inverted are negative and stored in order relative to each other
according to their a... | [
{
"created": "Thu, 10 Jan 2013 08:08:48 GMT",
"version": "v1"
}
] | 2013-01-11 | [
[
"Cetin",
"A. Emre",
""
]
] | The technique of in-situ associative permuting is introduced which is an association of in-situ permuting and in-situ inverting. It is suitable for associatively permutable permutations of {1,2,...,n} where the elements that will be inverted are negative and stored in order relative to each other according to their abs... |
2207.07736 | James Gleeson | James Gleeson, Daniel Snider, Yvonne Yang, Moshe Gabel, Eyal de Lara,
Gennady Pekhimenko | Optimizing Data Collection in Deep Reinforcement Learning | MLBench 2022 ( https://memani1.github.io/mlbench22/ ) camera ready
submission | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reinforcement learning (RL) workloads take a notoriously long time to train
due to the large number of samples collected at run-time from simulators.
Unfortunately, cluster scale-up approaches remain expensive, and commonly used
CPU implementations of simulators induce high overhead when switching back and
forth betw... | [
{
"created": "Fri, 15 Jul 2022 20:22:31 GMT",
"version": "v1"
}
] | 2022-07-19 | [
[
"Gleeson",
"James",
""
],
[
"Snider",
"Daniel",
""
],
[
"Yang",
"Yvonne",
""
],
[
"Gabel",
"Moshe",
""
],
[
"de Lara",
"Eyal",
""
],
[
"Pekhimenko",
"Gennady",
""
]
] | Reinforcement learning (RL) workloads take a notoriously long time to train due to the large number of samples collected at run-time from simulators. Unfortunately, cluster scale-up approaches remain expensive, and commonly used CPU implementations of simulators induce high overhead when switching back and forth betwee... |
1808.01558 | Zhiwen Shao | Zhiwen Shao, Hengliang Zhu, Xin Tan, Yangyang Hao, Lizhuang Ma | Deep Multi-Center Learning for Face Alignment | This paper has been accepted by Neurocomputing | null | 10.1016/j.neucom.2018.11.108 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Facial landmarks are highly correlated with each other since a certain
landmark can be estimated by its neighboring landmarks. Most of the existing
deep learning methods only use one fully-connected layer called shape
prediction layer to estimate the locations of facial landmarks. In this paper,
we propose a novel de... | [
{
"created": "Sun, 5 Aug 2018 04:01:53 GMT",
"version": "v1"
},
{
"created": "Sun, 18 Nov 2018 06:30:36 GMT",
"version": "v2"
}
] | 2019-04-26 | [
[
"Shao",
"Zhiwen",
""
],
[
"Zhu",
"Hengliang",
""
],
[
"Tan",
"Xin",
""
],
[
"Hao",
"Yangyang",
""
],
[
"Ma",
"Lizhuang",
""
]
] | Facial landmarks are highly correlated with each other since a certain landmark can be estimated by its neighboring landmarks. Most of the existing deep learning methods only use one fully-connected layer called shape prediction layer to estimate the locations of facial landmarks. In this paper, we propose a novel deep... |
1907.04640 | Dmytro Gavinsky | Dmytro Gavinsky, Pavel Pudl\'ak | Santha-Vazirani sources, deterministic condensers and very strong
extractors | null | null | null | null | cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The notion of semi-random sources, also known as Santha-Vazirani (SV)
sources, stands for a sequence of n bits, where the dependence of the i'th bit
on the previous i-1 bits is limited for every $i\in[n]$. If the dependence of
the i'th bit on the remaining n-1 bits is limited, then this is a strong
SV-source. Even th... | [
{
"created": "Mon, 8 Jul 2019 22:58:04 GMT",
"version": "v1"
},
{
"created": "Sat, 22 Feb 2020 18:41:11 GMT",
"version": "v2"
}
] | 2022-04-05 | [
[
"Gavinsky",
"Dmytro",
""
],
[
"Pudlák",
"Pavel",
""
]
] | The notion of semi-random sources, also known as Santha-Vazirani (SV) sources, stands for a sequence of n bits, where the dependence of the i'th bit on the previous i-1 bits is limited for every $i\in[n]$. If the dependence of the i'th bit on the remaining n-1 bits is limited, then this is a strong SV-source. Even the ... |
2308.13588 | Fan Lei | Fan Lei, Yuxin Ma, Stewart Fotheringham, Elizabeth Mack, Ziqi Li,
Mehak Sachdeva, Sarah Bardin and Ross Maciejewski | GeoExplainer: A Visual Analytics Framework for Spatial Modeling
Contextualization and Report Generation | 12 pages, 7 figures, accepted by IEEE VIS 2023 | null | null | null | cs.HC cs.LG | http://creativecommons.org/licenses/by/4.0/ | Geographic regression models of various descriptions are often applied to
identify patterns and anomalies in the determinants of spatially distributed
observations. These types of analyses focus on answering why questions about
underlying spatial phenomena, e.g., why is crime higher in this locale, why do
children in... | [
{
"created": "Fri, 25 Aug 2023 16:55:33 GMT",
"version": "v1"
}
] | 2023-08-29 | [
[
"Lei",
"Fan",
""
],
[
"Ma",
"Yuxin",
""
],
[
"Fotheringham",
"Stewart",
""
],
[
"Mack",
"Elizabeth",
""
],
[
"Li",
"Ziqi",
""
],
[
"Sachdeva",
"Mehak",
""
],
[
"Bardin",
"Sarah",
""
],
[
"Maciejewsk... | Geographic regression models of various descriptions are often applied to identify patterns and anomalies in the determinants of spatially distributed observations. These types of analyses focus on answering why questions about underlying spatial phenomena, e.g., why is crime higher in this locale, why do children in o... |
1905.10118 | Yuqing Ni | Yuqing Ni, Kemi Ding, Yong Yang, Ling Shi | On the Performance Analysis of Binary Hypothesis Testing with Byzantine
Sensors | Accepted by the 38th Chinese Control Conference (CCC) | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We investigate the impact of Byzantine attacks in distributed detection under
binary hypothesis testing. It is assumed that a fraction of the transmitted
sensor measurements are compromised by the injected data from a Byzantine
attacker, whose purpose is to confuse the decision maker at the fusion center.
From the pe... | [
{
"created": "Fri, 24 May 2019 10:03:39 GMT",
"version": "v1"
}
] | 2019-05-27 | [
[
"Ni",
"Yuqing",
""
],
[
"Ding",
"Kemi",
""
],
[
"Yang",
"Yong",
""
],
[
"Shi",
"Ling",
""
]
] | We investigate the impact of Byzantine attacks in distributed detection under binary hypothesis testing. It is assumed that a fraction of the transmitted sensor measurements are compromised by the injected data from a Byzantine attacker, whose purpose is to confuse the decision maker at the fusion center. From the pers... |
1709.03264 | Miguel Cardenas Montes | Miguel C\'ardenas-Montes, Iv\'an M\'endez-Jim\'enez, Juan Jos\'e
Rodr\'iguez-V\'azquez, and Jos\'e Mar\'ia Hern\'andez Calama | Report: Performance comparison between C2075 and P100 GPU cards using
cosmological correlation functions | null | null | null | null | cs.PF astro-ph.IM cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this report, some cosmological correlation functions are used to evaluate
the differential performance between C2075 and P100 GPU cards. In the past, the
correlation functions used in this work have been widely studied and exploited
on some previous GPU architectures. The analysis of the performance indicates
that... | [
{
"created": "Mon, 11 Sep 2017 07:03:23 GMT",
"version": "v1"
}
] | 2017-09-12 | [
[
"Cárdenas-Montes",
"Miguel",
""
],
[
"Méndez-Jiménez",
"Iván",
""
],
[
"Rodríguez-Vázquez",
"Juan José",
""
],
[
"Calama",
"José María Hernández",
""
]
] | In this report, some cosmological correlation functions are used to evaluate the differential performance between C2075 and P100 GPU cards. In the past, the correlation functions used in this work have been widely studied and exploited on some previous GPU architectures. The analysis of the performance indicates that a... |
2402.19142 | Pavlos Rath-Manakidis | Pavlos Rath-Manakidis, Frederik Strothmann, Tobias Glasmachers,
Laurenz Wiskott | ProtoP-OD: Explainable Object Detection with Prototypical Parts | 9 pages, 11 figures | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | Interpretation and visualization of the behavior of detection transformers
tends to highlight the locations in the image that the model attends to, but it
provides limited insight into the \emph{semantics} that the model is focusing
on. This paper introduces an extension to detection transformers that
constructs prot... | [
{
"created": "Thu, 29 Feb 2024 13:25:15 GMT",
"version": "v1"
}
] | 2024-03-01 | [
[
"Rath-Manakidis",
"Pavlos",
""
],
[
"Strothmann",
"Frederik",
""
],
[
"Glasmachers",
"Tobias",
""
],
[
"Wiskott",
"Laurenz",
""
]
] | Interpretation and visualization of the behavior of detection transformers tends to highlight the locations in the image that the model attends to, but it provides limited insight into the \emph{semantics} that the model is focusing on. This paper introduces an extension to detection transformers that constructs protot... |
1804.06660 | Iosif Szeidert PhD | Cristian Vasar, Iosif Szeidert, Ioan Filip, Gabriela Prostean | Short Term Electric Load Forecast with Artificial Neural Networks | 7 pages, 13 figures, IFAC MCPL 2007 The 4th International Federation
of Automatic Control Conference on Management and Control of Production and
Logistics, September 27-30, Sibiu - Romania, pp.443-449 | IFAC MCPL 2007 The 4th International Federation of Automatic
Control Conference on Management and Control of Production and Logistics,
September 27-30, Sibiu - Romania, ISBN: 978-973-739-481-1 | null | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents issues regarding short term electric load forecasting
using feedforward and Elman recurrent neural networks. The study cases were
developed using measured data representing electrical energy consume from Banat
area. There were considered 35 different types of structure for both
feedforward and rec... | [
{
"created": "Wed, 18 Apr 2018 11:36:51 GMT",
"version": "v1"
}
] | 2018-04-19 | [
[
"Vasar",
"Cristian",
""
],
[
"Szeidert",
"Iosif",
""
],
[
"Filip",
"Ioan",
""
],
[
"Prostean",
"Gabriela",
""
]
] | This paper presents issues regarding short term electric load forecasting using feedforward and Elman recurrent neural networks. The study cases were developed using measured data representing electrical energy consume from Banat area. There were considered 35 different types of structure for both feedforward and recur... |
1611.02453 | Thorsten Wissmann | Carsten Lutz and Frank Wolter | The Data Complexity of Description Logic Ontologies | null | Logical Methods in Computer Science, Volume 13, Issue 4 (November
13, 2017) lmcs:2203 | 10.23638/LMCS-13(4:7)2017 | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We analyze the data complexity of ontology-mediated querying where the
ontologies are formulated in a description logic (DL) of the ALC family and
queries are conjunctive queries, positive existential queries, or acyclic
conjunctive queries. Our approach is non-uniform in the sense that we aim to
understand the compl... | [
{
"created": "Tue, 8 Nov 2016 09:52:54 GMT",
"version": "v1"
},
{
"created": "Tue, 24 Oct 2017 09:19:25 GMT",
"version": "v2"
},
{
"created": "Fri, 10 Nov 2017 09:38:00 GMT",
"version": "v3"
}
] | 2023-06-22 | [
[
"Lutz",
"Carsten",
""
],
[
"Wolter",
"Frank",
""
]
] | We analyze the data complexity of ontology-mediated querying where the ontologies are formulated in a description logic (DL) of the ALC family and queries are conjunctive queries, positive existential queries, or acyclic conjunctive queries. Our approach is non-uniform in the sense that we aim to understand the complex... |
2102.08416 | Shoaib Ehsan | Maria Waheed, Michael Milford, Klaus D. McDonald-Maier, Shoaib Ehsan | Improving Visual Place Recognition Performance by Maximising
Complementarity | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Visual place recognition (VPR) is the problem of recognising a previously
visited location using visual information. Many attempts to improve the
performance of VPR methods have been made in the literature. One approach that
has received attention recently is the multi-process fusion where different VPR
methods run i... | [
{
"created": "Tue, 16 Feb 2021 19:18:33 GMT",
"version": "v1"
}
] | 2021-02-18 | [
[
"Waheed",
"Maria",
""
],
[
"Milford",
"Michael",
""
],
[
"McDonald-Maier",
"Klaus D.",
""
],
[
"Ehsan",
"Shoaib",
""
]
] | Visual place recognition (VPR) is the problem of recognising a previously visited location using visual information. Many attempts to improve the performance of VPR methods have been made in the literature. One approach that has received attention recently is the multi-process fusion where different VPR methods run in ... |
2108.09119 | Qingyang Zhou | Qingyang Zhou, Rongpeng Li, Zhifeng Zhao, Chenghui Peng, and Honggang
Zhang | Semantic Communication with Adaptive Universal Transformer | null | null | null | null | cs.CL eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the development of deep learning (DL), natural language processing (NLP)
makes it possible for us to analyze and understand a large amount of language
texts. Accordingly, we can achieve a semantic communication in terms of joint
semantic source and channel coding over a noisy channel with the help of NLP.
Howeve... | [
{
"created": "Fri, 20 Aug 2021 11:36:24 GMT",
"version": "v1"
},
{
"created": "Fri, 27 Aug 2021 04:25:44 GMT",
"version": "v2"
},
{
"created": "Mon, 29 Nov 2021 14:54:56 GMT",
"version": "v3"
}
] | 2021-11-30 | [
[
"Zhou",
"Qingyang",
""
],
[
"Li",
"Rongpeng",
""
],
[
"Zhao",
"Zhifeng",
""
],
[
"Peng",
"Chenghui",
""
],
[
"Zhang",
"Honggang",
""
]
] | With the development of deep learning (DL), natural language processing (NLP) makes it possible for us to analyze and understand a large amount of language texts. Accordingly, we can achieve a semantic communication in terms of joint semantic source and channel coding over a noisy channel with the help of NLP. However,... |
1506.07609 | Vikas Garg | Vikas K. Garg, Cynthia Rudin, and Tommi Jaakkola | CRAFT: ClusteR-specific Assorted Feature selecTion | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a framework for clustering with cluster-specific feature
selection. The framework, CRAFT, is derived from asymptotic log posterior
formulations of nonparametric MAP-based clustering models. CRAFT handles
assorted data, i.e., both numeric and categorical data, and the underlying
objective functions are intu... | [
{
"created": "Thu, 25 Jun 2015 04:14:49 GMT",
"version": "v1"
}
] | 2015-06-26 | [
[
"Garg",
"Vikas K.",
""
],
[
"Rudin",
"Cynthia",
""
],
[
"Jaakkola",
"Tommi",
""
]
] | We present a framework for clustering with cluster-specific feature selection. The framework, CRAFT, is derived from asymptotic log posterior formulations of nonparametric MAP-based clustering models. CRAFT handles assorted data, i.e., both numeric and categorical data, and the underlying objective functions are intuit... |
1705.09860 | Edgar Sucar | Edgar Sucar, Jean-Bernard Hayet | Probabilistic Global Scale Estimation for MonoSLAM Based on Generic
Object Detection | Int. Workshop on Visual Odometry, CVPR, (July 2017) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a novel method to estimate the global scale of a 3D
reconstructed model within a Kalman filtering-based monocular SLAM algorithm.
Our Bayesian framework integrates height priors over the detected objects
belonging to a set of broad predefined classes, based on recent advances in
fast generic objec... | [
{
"created": "Sat, 27 May 2017 20:14:31 GMT",
"version": "v1"
}
] | 2017-05-30 | [
[
"Sucar",
"Edgar",
""
],
[
"Hayet",
"Jean-Bernard",
""
]
] | This paper proposes a novel method to estimate the global scale of a 3D reconstructed model within a Kalman filtering-based monocular SLAM algorithm. Our Bayesian framework integrates height priors over the detected objects belonging to a set of broad predefined classes, based on recent advances in fast generic object ... |
2202.00273 | Axel Sauer | Axel Sauer, Katja Schwarz, Andreas Geiger | StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | To appear in SIGGRAPH 2022. Project Page:
https://sites.google.com/view/stylegan-xl/ | null | null | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Computer graphics has experienced a recent surge of data-centric approaches
for photorealistic and controllable content creation. StyleGAN in particular
sets new standards for generative modeling regarding image quality and
controllability. However, StyleGAN's performance severely degrades on large
unstructured datas... | [
{
"created": "Tue, 1 Feb 2022 08:22:34 GMT",
"version": "v1"
},
{
"created": "Thu, 5 May 2022 09:18:29 GMT",
"version": "v2"
}
] | 2022-05-06 | [
[
"Sauer",
"Axel",
""
],
[
"Schwarz",
"Katja",
""
],
[
"Geiger",
"Andreas",
""
]
] | Computer graphics has experienced a recent surge of data-centric approaches for photorealistic and controllable content creation. StyleGAN in particular sets new standards for generative modeling regarding image quality and controllability. However, StyleGAN's performance severely degrades on large unstructured dataset... |
2308.14500 | Di Yang | Di Yang, Yaohui Wang, Antitza Dantcheva, Quan Kong, Lorenzo Garattoni,
Gianpiero Francesca, Francois Bremond | LAC: Latent Action Composition for Skeleton-based Action Segmentation | ICCV 2023 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Skeleton-based action segmentation requires recognizing composable actions in
untrimmed videos. Current approaches decouple this problem by first extracting
local visual features from skeleton sequences and then processing them by a
temporal model to classify frame-wise actions. However, their performances
remain lim... | [
{
"created": "Mon, 28 Aug 2023 11:20:48 GMT",
"version": "v1"
},
{
"created": "Wed, 30 Aug 2023 14:18:58 GMT",
"version": "v2"
},
{
"created": "Thu, 31 Aug 2023 12:02:47 GMT",
"version": "v3"
},
{
"created": "Wed, 21 Feb 2024 18:50:50 GMT",
"version": "v4"
}
] | 2024-02-22 | [
[
"Yang",
"Di",
""
],
[
"Wang",
"Yaohui",
""
],
[
"Dantcheva",
"Antitza",
""
],
[
"Kong",
"Quan",
""
],
[
"Garattoni",
"Lorenzo",
""
],
[
"Francesca",
"Gianpiero",
""
],
[
"Bremond",
"Francois",
""
]
] | Skeleton-based action segmentation requires recognizing composable actions in untrimmed videos. Current approaches decouple this problem by first extracting local visual features from skeleton sequences and then processing them by a temporal model to classify frame-wise actions. However, their performances remain limit... |
2401.13807 | Daniel Bochen Tan | Daniel Bochen Tan and Shuohao Ping and Jason Cong | Depth-Optimal Addressing of 2D Qubit Array with 1D Controls Based on
Exact Binary Matrix Factorization | null | null | null | null | cs.ET quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reducing control complexity is essential for achieving large-scale quantum
computing. However, reducing control knobs may compromise the ability to
independently address each qubit. Recent progress in neutral atom-based
platforms suggests that rectangular (row-column) addressing may strike a
balance between control g... | [
{
"created": "Wed, 24 Jan 2024 20:58:14 GMT",
"version": "v1"
},
{
"created": "Fri, 22 Mar 2024 23:36:10 GMT",
"version": "v2"
}
] | 2024-03-26 | [
[
"Tan",
"Daniel Bochen",
""
],
[
"Ping",
"Shuohao",
""
],
[
"Cong",
"Jason",
""
]
] | Reducing control complexity is essential for achieving large-scale quantum computing. However, reducing control knobs may compromise the ability to independently address each qubit. Recent progress in neutral atom-based platforms suggests that rectangular (row-column) addressing may strike a balance between control gra... |
2203.11740 | Junbo Tao | Jun-Bo Tao, Bai-Qing Sun, Wei-Dong Zhu, Shi-You Qu, Jia-Qiang Li,
Guo-Qi Li, Yan-Yan Wang, Ling-Kun Chen, Chong Wu, Yu Xiong, Jiaxuan Zhou | The Deep Learning model of Higher-Lower-Order Cognition, Memory, and
Affection- More General Than KAN | null | null | null | null | cs.NE cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We firstly simulated disease dynamics by KAN (Kolmogorov-Arnold Networks)
nearly 4 years ago, but the kernel functions in the edge include the
exponential number of infected and discharged people and is also in line with
the Kolmogorov-Arnold representation theorem, and the shared weights in the
edge are the infectio... | [
{
"created": "Sat, 19 Mar 2022 14:38:54 GMT",
"version": "v1"
},
{
"created": "Wed, 1 Mar 2023 17:42:34 GMT",
"version": "v10"
},
{
"created": "Wed, 8 Mar 2023 17:07:54 GMT",
"version": "v11"
},
{
"created": "Sun, 26 Mar 2023 11:12:27 GMT",
"version": "v12"
},
{
"... | 2024-06-04 | [
[
"Tao",
"Jun-Bo",
""
],
[
"Sun",
"Bai-Qing",
""
],
[
"Zhu",
"Wei-Dong",
""
],
[
"Qu",
"Shi-You",
""
],
[
"Li",
"Jia-Qiang",
""
],
[
"Li",
"Guo-Qi",
""
],
[
"Wang",
"Yan-Yan",
""
],
[
"Chen",
"Lin... | We firstly simulated disease dynamics by KAN (Kolmogorov-Arnold Networks) nearly 4 years ago, but the kernel functions in the edge include the exponential number of infected and discharged people and is also in line with the Kolmogorov-Arnold representation theorem, and the shared weights in the edge are the infection ... |
1804.09705 | Thomas Sturm | Hoon Hong, Thomas Sturm | Positive Solutions of Systems of Signed Parametric Polynomial
Inequalities | null | Proc. CASC 2018, LNCS 11077, pp.238-253, Springer 2018 | 10.1007/978-3-319-99639-4_17 | null | cs.SC cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider systems of strict multivariate polynomial inequalities over the
reals. All polynomial coefficients are parameters ranging over the reals, where
for each coefficient we prescribe its sign. We are interested in the existence
of positive real solutions of our system for all choices of coefficients
subject to... | [
{
"created": "Wed, 25 Apr 2018 17:53:25 GMT",
"version": "v1"
}
] | 2018-09-06 | [
[
"Hong",
"Hoon",
""
],
[
"Sturm",
"Thomas",
""
]
] | We consider systems of strict multivariate polynomial inequalities over the reals. All polynomial coefficients are parameters ranging over the reals, where for each coefficient we prescribe its sign. We are interested in the existence of positive real solutions of our system for all choices of coefficients subject to o... |
1810.04456 | Zhaohui Che | Zhaohui Che, Ali Borji, Guangtao Zhai, Xiongkuo Min | Invariance Analysis of Saliency Models versus Human Gaze During Scene
Free Viewing | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most of current studies on human gaze and saliency modeling have used
high-quality stimuli. In real world, however, captured images undergo various
types of distortions during the whole acquisition, transmission, and displaying
chain. Some distortion types include motion blur, lighting variations and
rotation. Despit... | [
{
"created": "Wed, 10 Oct 2018 11:10:28 GMT",
"version": "v1"
}
] | 2018-10-11 | [
[
"Che",
"Zhaohui",
""
],
[
"Borji",
"Ali",
""
],
[
"Zhai",
"Guangtao",
""
],
[
"Min",
"Xiongkuo",
""
]
] | Most of current studies on human gaze and saliency modeling have used high-quality stimuli. In real world, however, captured images undergo various types of distortions during the whole acquisition, transmission, and displaying chain. Some distortion types include motion blur, lighting variations and rotation. Despite ... |
1605.01335 | Jakub Sygnowski | Jakub Sygnowski and Henryk Michalewski | Learning from the memory of Atari 2600 | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We train a number of neural networks to play games Bowling, Breakout and
Seaquest using information stored in the memory of a video game console Atari
2600. We consider four models of neural networks which differ in size and
architecture: two networks which use only information contained in the RAM and
two mixed netw... | [
{
"created": "Wed, 4 May 2016 16:23:34 GMT",
"version": "v1"
}
] | 2016-05-05 | [
[
"Sygnowski",
"Jakub",
""
],
[
"Michalewski",
"Henryk",
""
]
] | We train a number of neural networks to play games Bowling, Breakout and Seaquest using information stored in the memory of a video game console Atari 2600. We consider four models of neural networks which differ in size and architecture: two networks which use only information contained in the RAM and two mixed networ... |
1811.02741 | Khondokar Fida Hasan | Khondokar Fida Hasan, Yanming Feng and Yu-Chu Tian | GNSS Time Synchronization in Vehicular Ad-Hoc Networks: Benefits and
Feasibility | 10 pages | Hasan, Khondokar Fida, Yanming Feng, and Yu-Chu Tian. "GNSS Time
Synchronization in Vehicular Ad-Hoc Networks: Benefits and Feasibility." IEEE
Transactions on Intelligent Transportation Systems (2018) | 10.1109/TITS.2017.2789291 | null | cs.NI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Time synchronization is critical for the operation of distributed systems in
networked environments. It is also demanded in vehicular ad-hoc networks
(VANETs), which, as a special type of wireless networks, are becoming
increasingly important for emerging cooperative intelligent transport systems.
Global navigation s... | [
{
"created": "Wed, 7 Nov 2018 02:58:52 GMT",
"version": "v1"
}
] | 2018-11-08 | [
[
"Hasan",
"Khondokar Fida",
""
],
[
"Feng",
"Yanming",
""
],
[
"Tian",
"Yu-Chu",
""
]
] | Time synchronization is critical for the operation of distributed systems in networked environments. It is also demanded in vehicular ad-hoc networks (VANETs), which, as a special type of wireless networks, are becoming increasingly important for emerging cooperative intelligent transport systems. Global navigation sat... |
2107.02389 | Qingyong Hu | Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua
Wang, Niki Trigoni and Andrew Markham | Learning Semantic Segmentation of Large-Scale Point Clouds with Random
Sampling | IEEE TPAMI 2021. arXiv admin note: substantial text overlap with
arXiv:1911.11236 | null | 10.1109/TPAMI.2021.3083288 | null | cs.CV cs.AI cs.RO eess.SP | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We study the problem of efficient semantic segmentation of large-scale 3D
point clouds. By relying on expensive sampling techniques or computationally
heavy pre/post-processing steps, most existing approaches are only able to be
trained and operate over small-scale point clouds. In this paper, we introduce
RandLA-Net... | [
{
"created": "Tue, 6 Jul 2021 05:08:34 GMT",
"version": "v1"
}
] | 2021-07-07 | [
[
"Hu",
"Qingyong",
""
],
[
"Yang",
"Bo",
""
],
[
"Xie",
"Linhai",
""
],
[
"Rosa",
"Stefano",
""
],
[
"Guo",
"Yulan",
""
],
[
"Wang",
"Zhihua",
""
],
[
"Trigoni",
"Niki",
""
],
[
"Markham",
"Andre... | We study the problem of efficient semantic segmentation of large-scale 3D point clouds. By relying on expensive sampling techniques or computationally heavy pre/post-processing steps, most existing approaches are only able to be trained and operate over small-scale point clouds. In this paper, we introduce RandLA-Net, ... |
2002.00329 | Jeongyeol Kwon | Jeongyeol Kwon, Constantine Caramanis | The EM Algorithm gives Sample-Optimality for Learning Mixtures of
Well-Separated Gaussians | Accepted to COLT 2020; Title changed | null | null | null | cs.LG math.ST stat.ML stat.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of spherical Gaussian Mixture models with $k \geq 3$
components when the components are well separated. A fundamental previous
result established that separation of $\Omega(\sqrt{\log k})$ is necessary and
sufficient for identifiability of the parameters with polynomial sample
complexity (Rege... | [
{
"created": "Sun, 2 Feb 2020 05:09:26 GMT",
"version": "v1"
},
{
"created": "Fri, 19 Jun 2020 17:36:40 GMT",
"version": "v2"
}
] | 2020-06-22 | [
[
"Kwon",
"Jeongyeol",
""
],
[
"Caramanis",
"Constantine",
""
]
] | We consider the problem of spherical Gaussian Mixture models with $k \geq 3$ components when the components are well separated. A fundamental previous result established that separation of $\Omega(\sqrt{\log k})$ is necessary and sufficient for identifiability of the parameters with polynomial sample complexity (Regev ... |
2407.19889 | Carlos Pe\~narrubia | Carlos Penarrubia, Jose J. Valero-Mas, Jorge Calvo-Zaragoza | Self-Supervised Learning for Text Recognition: A Critical Survey | This article is under revision | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Text Recognition (TR) refers to the research area that focuses on retrieving
textual information from images, a topic that has seen significant advancements
in the last decade due to the use of Deep Neural Networks (DNN). However, these
solutions often necessitate vast amounts of manually labeled or synthetic data.
A... | [
{
"created": "Mon, 29 Jul 2024 11:11:17 GMT",
"version": "v1"
}
] | 2024-07-30 | [
[
"Penarrubia",
"Carlos",
""
],
[
"Valero-Mas",
"Jose J.",
""
],
[
"Calvo-Zaragoza",
"Jorge",
""
]
] | Text Recognition (TR) refers to the research area that focuses on retrieving textual information from images, a topic that has seen significant advancements in the last decade due to the use of Deep Neural Networks (DNN). However, these solutions often necessitate vast amounts of manually labeled or synthetic data. Add... |
2111.04588 | Honey Nikam | Honey Nikam, Siddharth Satyam, Shubham Sahay | Long Short-Term Memory Implementation Exploiting Passive RRAM Crossbar
Array | null | null | 10.1109/TED.2021.3133197 | null | cs.ET | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The ever-increasing demand to extract temporal correlations across sequential
data and perform context-based learning in this era of big data has led to the
development of long short-term memory (LSTM) networks. Furthermore, there is an
urgent need to perform these time-series data-dependent applications including
sp... | [
{
"created": "Mon, 8 Nov 2021 15:50:09 GMT",
"version": "v1"
}
] | 2022-04-06 | [
[
"Nikam",
"Honey",
""
],
[
"Satyam",
"Siddharth",
""
],
[
"Sahay",
"Shubham",
""
]
] | The ever-increasing demand to extract temporal correlations across sequential data and perform context-based learning in this era of big data has led to the development of long short-term memory (LSTM) networks. Furthermore, there is an urgent need to perform these time-series data-dependent applications including spee... |
2310.18349 | Minghao Tang | Minghao Tang, Yongquan He, Yongxiu Xu, Hongbo Xu, Wenyuan Zhang, Yang
Lin | A Boundary Offset Prediction Network for Named Entity Recognition | Accepted by Findings of EMNLP 2023, 13 pages | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Named entity recognition (NER) is a fundamental task in natural language
processing that aims to identify and classify named entities in text. However,
span-based methods for NER typically assign entity types to text spans,
resulting in an imbalanced sample space and neglecting the connections between
non-entity and ... | [
{
"created": "Mon, 23 Oct 2023 05:04:07 GMT",
"version": "v1"
}
] | 2023-10-31 | [
[
"Tang",
"Minghao",
""
],
[
"He",
"Yongquan",
""
],
[
"Xu",
"Yongxiu",
""
],
[
"Xu",
"Hongbo",
""
],
[
"Zhang",
"Wenyuan",
""
],
[
"Lin",
"Yang",
""
]
] | Named entity recognition (NER) is a fundamental task in natural language processing that aims to identify and classify named entities in text. However, span-based methods for NER typically assign entity types to text spans, resulting in an imbalanced sample space and neglecting the connections between non-entity and en... |
2303.02206 | Navid Madani | Navid Madani, Rohini K. Srihari, Kenneth Joseph | Domain Specific Question Answering Over Knowledge Graphs Using Logical
Programming and Large Language Models | null | null | null | null | cs.LG cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Answering questions over domain-specific graphs requires a tailored approach
due to the limited number of relations and the specific nature of the domain.
Our approach integrates classic logical programming languages into large
language models (LLMs), enabling the utilization of logical reasoning
capabilities to tack... | [
{
"created": "Fri, 3 Mar 2023 20:35:38 GMT",
"version": "v1"
},
{
"created": "Wed, 23 Aug 2023 14:23:48 GMT",
"version": "v2"
}
] | 2023-08-24 | [
[
"Madani",
"Navid",
""
],
[
"Srihari",
"Rohini K.",
""
],
[
"Joseph",
"Kenneth",
""
]
] | Answering questions over domain-specific graphs requires a tailored approach due to the limited number of relations and the specific nature of the domain. Our approach integrates classic logical programming languages into large language models (LLMs), enabling the utilization of logical reasoning capabilities to tackle... |
1401.5261 | Pietro Codara | Pietro Codara, Ottavio M. D'Antona, Vincenzo Marra | An Analysis of Ruspini Partitions in G\"odel Logic | 22 pages | International Journal of Approximate Reasoning 50/6 (2009) 825-836 | 10.1016/j.ijar.2009.02.007 | null | cs.LO math.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | By a Ruspini partition we mean a finite family of fuzzy sets $\{f_1, \ldots,
f_n\}$, $f_i : [0,1] \to [0,1]$, such that $\sum_{i=1}^n f_i(x)=1$ for all $x
\in [0,1]$, where $[0,1]$ denotes the real unit interval. We analyze such
partitions in the language of G\"odel logic. Our first main result identifies
the precise... | [
{
"created": "Tue, 21 Jan 2014 11:00:05 GMT",
"version": "v1"
}
] | 2014-01-22 | [
[
"Codara",
"Pietro",
""
],
[
"D'Antona",
"Ottavio M.",
""
],
[
"Marra",
"Vincenzo",
""
]
] | By a Ruspini partition we mean a finite family of fuzzy sets $\{f_1, \ldots, f_n\}$, $f_i : [0,1] \to [0,1]$, such that $\sum_{i=1}^n f_i(x)=1$ for all $x \in [0,1]$, where $[0,1]$ denotes the real unit interval. We analyze such partitions in the language of G\"odel logic. Our first main result identifies the precise d... |
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