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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1210.1161 | Efi Papaptheocharous | Efi Papatheocharous, Harris Papadopoulos and Andreas S. Andreou | Feature Subset Selection for Software Cost Modelling and Estimation | Engineering Intelligent Systems Vol 18 (3/4) September/December 2010 | null | null | null | cs.SE cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Feature selection has been recently used in the area of software engineering
for improving the accuracy and robustness of software cost models. The idea
behind selecting the most informative subset of features from a pool of
available cost drivers stems from the hypothesis that reducing the
dimensionality of datasets... | [
{
"created": "Wed, 3 Oct 2012 16:12:07 GMT",
"version": "v1"
}
] | 2023-12-21 | [
[
"Papatheocharous",
"Efi",
""
],
[
"Papadopoulos",
"Harris",
""
],
[
"Andreou",
"Andreas S.",
""
]
] | Feature selection has been recently used in the area of software engineering for improving the accuracy and robustness of software cost models. The idea behind selecting the most informative subset of features from a pool of available cost drivers stems from the hypothesis that reducing the dimensionality of datasets w... |
cs/0309032 | Alexandre Tessier | Gerard Ferrand, Willy Lesaint, Alexandre Tessier | Towards declarative diagnosis of constraint programs over finite domains | In M. Ronsse, K. De Bosschere (eds), proceedings of the Fifth
International Workshop on Automated Debugging (AADEBUG 2003), September 2003,
Ghent. cs.SE/0309027 | null | null | null | cs.SE | null | The paper proposes a theoretical approach of the debugging of constraint
programs based on a notion of explanation tree. The proposed approach is an
attempt to adapt algorithmic debugging to constraint programming. In this
theoretical framework for domain reduction, explanations are proof trees
explaining value remov... | [
{
"created": "Wed, 17 Sep 2003 12:42:58 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Ferrand",
"Gerard",
""
],
[
"Lesaint",
"Willy",
""
],
[
"Tessier",
"Alexandre",
""
]
] | The paper proposes a theoretical approach of the debugging of constraint programs based on a notion of explanation tree. The proposed approach is an attempt to adapt algorithmic debugging to constraint programming. In this theoretical framework for domain reduction, explanations are proof trees explaining value removal... |
1311.5427 | Gerardo Febres | Gerardo Febres, Klaus Jaffe, Carlos Gershenson | Complexity measurement of natural and artificial languages | 29 pages, 11 figures, 3 tables, 2 appendixes | Complexity 20 6 429- (2015) | 10.1002/cplx.21529 | null | cs.CL cs.IT math.IT nlin.AO physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We compared entropy for texts written in natural languages (English, Spanish)
and artificial languages (computer software) based on a simple expression for
the entropy as a function of message length and specific word diversity. Code
text written in artificial languages showed higher entropy than text of similar
leng... | [
{
"created": "Wed, 20 Nov 2013 02:43:22 GMT",
"version": "v1"
},
{
"created": "Fri, 22 Nov 2013 06:02:18 GMT",
"version": "v2"
}
] | 2015-12-03 | [
[
"Febres",
"Gerardo",
""
],
[
"Jaffe",
"Klaus",
""
],
[
"Gershenson",
"Carlos",
""
]
] | We compared entropy for texts written in natural languages (English, Spanish) and artificial languages (computer software) based on a simple expression for the entropy as a function of message length and specific word diversity. Code text written in artificial languages showed higher entropy than text of similar length... |
1511.07038 | Jakub Tarnawski | Ola Svensson and Jakub Tarnawski and L\'aszl\'o A. V\'egh | Constant Factor Approximation for ATSP with Two Edge Weights | null | Proc. of Integer Programming and Combinatorial Optimization: 18th
International Conference, IPCO 2016, pages 226-237 | 10.1007/978-3-319-33461-5_19 | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We give a constant factor approximation algorithm for the Asymmetric
Traveling Salesman Problem on shortest path metrics of directed graphs with two
different edge weights. For the case of unit edge weights, the first constant
factor approximation was given recently by Svensson. This was accomplished by
introducing a... | [
{
"created": "Sun, 22 Nov 2015 17:42:34 GMT",
"version": "v1"
},
{
"created": "Mon, 4 Sep 2017 13:58:47 GMT",
"version": "v2"
}
] | 2017-09-05 | [
[
"Svensson",
"Ola",
""
],
[
"Tarnawski",
"Jakub",
""
],
[
"Végh",
"László A.",
""
]
] | We give a constant factor approximation algorithm for the Asymmetric Traveling Salesman Problem on shortest path metrics of directed graphs with two different edge weights. For the case of unit edge weights, the first constant factor approximation was given recently by Svensson. This was accomplished by introducing an ... |
2304.13174 | Jiechao Gao | Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming
Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo | Dynamic Datasets and Market Environments for Financial Reinforcement
Learning | 49 pages, 15 figures. arXiv admin note: substantial text overlap with
arXiv:2211.03107 | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The financial market is a particularly challenging playground for deep
reinforcement learning due to its unique feature of dynamic datasets. Building
high-quality market environments for training financial reinforcement learning
(FinRL) agents is difficult due to major factors such as the low
signal-to-noise ratio of... | [
{
"created": "Tue, 25 Apr 2023 22:17:31 GMT",
"version": "v1"
}
] | 2023-04-27 | [
[
"Liu",
"Xiao-Yang",
""
],
[
"Xia",
"Ziyi",
""
],
[
"Yang",
"Hongyang",
""
],
[
"Gao",
"Jiechao",
""
],
[
"Zha",
"Daochen",
""
],
[
"Zhu",
"Ming",
""
],
[
"Wang",
"Christina Dan",
""
],
[
"Wang",
... | The financial market is a particularly challenging playground for deep reinforcement learning due to its unique feature of dynamic datasets. Building high-quality market environments for training financial reinforcement learning (FinRL) agents is difficult due to major factors such as the low signal-to-noise ratio of f... |
2106.09895 | Hengyi Zheng | Hengyi Zheng, Rui Wen, Xi Chen, Yifan Yang, Yunyan Zhang, Ziheng
Zhang, Ningyu Zhang, Bin Qin, Ming Xu, Yefeng Zheng | PRGC: Potential Relation and Global Correspondence Based Joint
Relational Triple Extraction | Accepted by ACL 2021 | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Joint extraction of entities and relations from unstructured texts is a
crucial task in information extraction. Recent methods achieve considerable
performance but still suffer from some inherent limitations, such as redundancy
of relation prediction, poor generalization of span-based extraction and
inefficiency. In ... | [
{
"created": "Fri, 18 Jun 2021 03:38:07 GMT",
"version": "v1"
}
] | 2021-06-21 | [
[
"Zheng",
"Hengyi",
""
],
[
"Wen",
"Rui",
""
],
[
"Chen",
"Xi",
""
],
[
"Yang",
"Yifan",
""
],
[
"Zhang",
"Yunyan",
""
],
[
"Zhang",
"Ziheng",
""
],
[
"Zhang",
"Ningyu",
""
],
[
"Qin",
"Bin",
... | Joint extraction of entities and relations from unstructured texts is a crucial task in information extraction. Recent methods achieve considerable performance but still suffer from some inherent limitations, such as redundancy of relation prediction, poor generalization of span-based extraction and inefficiency. In th... |
2202.12076 | Wei Zhai | Liangsheng Lu, Wei Zhai, Hongchen Luo, Yu Kang and Yang Cao | Phrase-Based Affordance Detection via Cyclic Bilateral Interaction | null | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Affordance detection, which refers to perceiving objects with potential
action possibilities in images, is a challenging task since the possible
affordance depends on the person's purpose in real-world application scenarios.
The existing works mainly extract the inherent human-object dependencies from
image/video to ... | [
{
"created": "Thu, 24 Feb 2022 13:02:27 GMT",
"version": "v1"
},
{
"created": "Fri, 25 Feb 2022 03:25:33 GMT",
"version": "v2"
}
] | 2022-02-28 | [
[
"Lu",
"Liangsheng",
""
],
[
"Zhai",
"Wei",
""
],
[
"Luo",
"Hongchen",
""
],
[
"Kang",
"Yu",
""
],
[
"Cao",
"Yang",
""
]
] | Affordance detection, which refers to perceiving objects with potential action possibilities in images, is a challenging task since the possible affordance depends on the person's purpose in real-world application scenarios. The existing works mainly extract the inherent human-object dependencies from image/video to ac... |
2309.15234 | Weizheng Wang | Weizheng Wang, Le Mao, Ruiqi Wang, and Byung-Cheol Min | Multi-Robot Cooperative Socially-Aware Navigation Using Multi-Agent
Reinforcement Learning | To appear in ICRA2024 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In public spaces shared with humans, ensuring multi-robot systems navigate
without collisions while respecting social norms is challenging, particularly
with limited communication. Although current robot social navigation techniques
leverage advances in reinforcement learning and deep learning, they frequently
overlo... | [
{
"created": "Tue, 26 Sep 2023 19:56:21 GMT",
"version": "v1"
},
{
"created": "Wed, 15 May 2024 19:57:59 GMT",
"version": "v2"
}
] | 2024-05-17 | [
[
"Wang",
"Weizheng",
""
],
[
"Mao",
"Le",
""
],
[
"Wang",
"Ruiqi",
""
],
[
"Min",
"Byung-Cheol",
""
]
] | In public spaces shared with humans, ensuring multi-robot systems navigate without collisions while respecting social norms is challenging, particularly with limited communication. Although current robot social navigation techniques leverage advances in reinforcement learning and deep learning, they frequently overlook... |
2210.00856 | Georges-Axel Jaloyan | Hadrien Barral, Georges-Axel Jaloyan, Fabien Thomas-Brans, Matthieu
Regnery, R\'emi G\'eraud-Stewart, Thibaut Heckmann, Thomas Souvignet, David
Naccache | A forensic analysis of the Google Home: repairing compressed data
without error correction | 28 pages, modified version of paper that appeared originally at
Forensic Science International: Digital Investigation | Forensic Science International: Digital Investigation, Volume 42,
2022, 301437, ISSN 2666-2817 | 10.1016/j.fsidi.2022.301437 | null | cs.CR cs.IR | http://creativecommons.org/licenses/by-nc-nd/4.0/ | This paper provides a detailed explanation of the steps taken to extract and
repair a Google Home's internal data. Starting with reverse engineering the
hardware of a commercial off-the-shelf Google Home, internal data is then
extracted by desoldering and dumping the flash memory. As error correction is
performed by ... | [
{
"created": "Fri, 30 Sep 2022 03:17:38 GMT",
"version": "v1"
}
] | 2022-10-04 | [
[
"Barral",
"Hadrien",
""
],
[
"Jaloyan",
"Georges-Axel",
""
],
[
"Thomas-Brans",
"Fabien",
""
],
[
"Regnery",
"Matthieu",
""
],
[
"Géraud-Stewart",
"Rémi",
""
],
[
"Heckmann",
"Thibaut",
""
],
[
"Souvignet",
"Th... | This paper provides a detailed explanation of the steps taken to extract and repair a Google Home's internal data. Starting with reverse engineering the hardware of a commercial off-the-shelf Google Home, internal data is then extracted by desoldering and dumping the flash memory. As error correction is performed by th... |
1208.5997 | Heba Ezzat | Heba Ezzat Ibrahim, Sherif M. Badr and Mohamed A. Shaheen | Phases vs. Levels using Decision Trees for Intrusion Detection Systems | 7 pages; (IJCSIS) International Journal of Computer Science and
Information Security, Vol. 10, No. 8, 2012 | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Security of computers and the networks that connect them is increasingly
becoming of great significance. Intrusion detection system is one of the
security defense tools for computer networks. This paper compares two different
model Approaches for representing intrusion detection system by using decision
tree techniqu... | [
{
"created": "Wed, 29 Aug 2012 19:24:24 GMT",
"version": "v1"
}
] | 2012-08-30 | [
[
"Ibrahim",
"Heba Ezzat",
""
],
[
"Badr",
"Sherif M.",
""
],
[
"Shaheen",
"Mohamed A.",
""
]
] | Security of computers and the networks that connect them is increasingly becoming of great significance. Intrusion detection system is one of the security defense tools for computer networks. This paper compares two different model Approaches for representing intrusion detection system by using decision tree techniques... |
1511.02058 | Hung-Hsuan Chen | Hung-Hsuan Chen, Alexander G. Ororbia II, C. Lee Giles | ExpertSeer: a Keyphrase Based Expert Recommender for Digital Libraries | null | null | null | null | cs.DL cs.IR | http://creativecommons.org/licenses/by/4.0/ | We describe ExpertSeer, a generic framework for expert recommendation based
on the contents of a digital library. Given a query term q, ExpertSeer
recommends experts of q by retrieving authors who published relevant papers
determined by related keyphrases and the quality of papers. The system is based
on a simple yet... | [
{
"created": "Fri, 6 Nov 2015 12:55:17 GMT",
"version": "v1"
}
] | 2015-11-09 | [
[
"Chen",
"Hung-Hsuan",
""
],
[
"Ororbia",
"Alexander G.",
"II"
],
[
"Giles",
"C. Lee",
""
]
] | We describe ExpertSeer, a generic framework for expert recommendation based on the contents of a digital library. Given a query term q, ExpertSeer recommends experts of q by retrieving authors who published relevant papers determined by related keyphrases and the quality of papers. The system is based on a simple yet e... |
1804.02795 | Gangshan Jing | Gangshan Jing, Guofeng Zhang, Heung Wing Joseph Lee, and Long Wang | Weak Rigidity Theory and its Application to Multi-agent Formation
Stabilization | This paper has been accepted by SIAM Journal on Control and
Optimization | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper introduces the notion of weak rigidity to characterize a framework
by pairwise inner products of inter-agent displacements. Compared to
distance-based rigidity, weak rigidity requires fewer constrained edges in the
graph to determine a geometric shape in an arbitrarily dimensional space. A
necessary and su... | [
{
"created": "Mon, 9 Apr 2018 02:23:31 GMT",
"version": "v1"
}
] | 2018-04-10 | [
[
"Jing",
"Gangshan",
""
],
[
"Zhang",
"Guofeng",
""
],
[
"Lee",
"Heung Wing Joseph",
""
],
[
"Wang",
"Long",
""
]
] | This paper introduces the notion of weak rigidity to characterize a framework by pairwise inner products of inter-agent displacements. Compared to distance-based rigidity, weak rigidity requires fewer constrained edges in the graph to determine a geometric shape in an arbitrarily dimensional space. A necessary and suff... |
2307.06318 | Madalina Erascu | Vlad-Ioan Luca and Madalina Erascu | SAGE -- A Tool for Optimal Deployments in Kubernetes Clusters | null | null | null | null | cs.DC | http://creativecommons.org/licenses/by/4.0/ | Cloud computing has brought a fundamental transformation in how organizations
operate their applications, enabling them to achieve affordable high
availability of services. Kubernetes has emerged as the preferred choice for
container orchestration and service management across many Cloud computing
platforms. The sche... | [
{
"created": "Wed, 12 Jul 2023 17:29:28 GMT",
"version": "v1"
}
] | 2023-07-13 | [
[
"Luca",
"Vlad-Ioan",
""
],
[
"Erascu",
"Madalina",
""
]
] | Cloud computing has brought a fundamental transformation in how organizations operate their applications, enabling them to achieve affordable high availability of services. Kubernetes has emerged as the preferred choice for container orchestration and service management across many Cloud computing platforms. The schedu... |
1207.1161 | Manish Gupta | Abhishek Chhajer and Manish K. Gupta and Sandeep Vasani and Jaley
Dholakiya | Modular Arithmetic Expressions and Primality Testing via DNA
Self-Assembly | null | null | null | null | cs.ET cs.DS cs.MS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Self-assembly is a fundamental process by which supramolecular species form
spontaneously from their components. This process is ubiquitous throughout the
life chemistry and is central to biological information processing. Algorithms
for solving many mathematical and computational problems via tile self assembly
have... | [
{
"created": "Thu, 5 Jul 2012 04:55:03 GMT",
"version": "v1"
}
] | 2012-07-06 | [
[
"Chhajer",
"Abhishek",
""
],
[
"Gupta",
"Manish K.",
""
],
[
"Vasani",
"Sandeep",
""
],
[
"Dholakiya",
"Jaley",
""
]
] | Self-assembly is a fundamental process by which supramolecular species form spontaneously from their components. This process is ubiquitous throughout the life chemistry and is central to biological information processing. Algorithms for solving many mathematical and computational problems via tile self assembly have b... |
2307.01782 | Sudeep Pasricha | Salma Afifi, Febin Sunny, Amin Shafiee, Mahdi Nikdast, Sudeep Pasricha | GHOST: A Graph Neural Network Accelerator using Silicon Photonics | null | null | null | null | cs.AR cs.AI cs.ET cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Graph neural networks (GNNs) have emerged as a powerful approach for
modelling and learning from graph-structured data. Multiple fields have since
benefitted enormously from the capabilities of GNNs, such as recommendation
systems, social network analysis, drug discovery, and robotics. However,
accelerating and effic... | [
{
"created": "Tue, 4 Jul 2023 15:37:20 GMT",
"version": "v1"
}
] | 2023-07-06 | [
[
"Afifi",
"Salma",
""
],
[
"Sunny",
"Febin",
""
],
[
"Shafiee",
"Amin",
""
],
[
"Nikdast",
"Mahdi",
""
],
[
"Pasricha",
"Sudeep",
""
]
] | Graph neural networks (GNNs) have emerged as a powerful approach for modelling and learning from graph-structured data. Multiple fields have since benefitted enormously from the capabilities of GNNs, such as recommendation systems, social network analysis, drug discovery, and robotics. However, accelerating and efficie... |
1608.04563 | Der-Yeuan Yu | Der-Yeuan Yu, Aanjhan Ranganathan, Ramya Jayaram Masti, Claudio
Soriente, Srdjan Capkun | SALVE: Server Authentication with Location VErification | 14 pages. This paper will be presented at the 22nd ACM International
Conference on Mobile Computing and Networking (MobiCom 2016). Related paper:
https://eprint.iacr.org/2015/230 | null | 10.1145/2973750.2973766 | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Location Service (LCS) proposed by the telecommunication industry is an
architecture that allows the location of mobile devices to be accessed in
various applications. We explore the use of LCS in location-enhanced server
authentication, which traditionally relies on certificates. Given recent
incidents involving... | [
{
"created": "Tue, 16 Aug 2016 12:10:57 GMT",
"version": "v1"
}
] | 2016-08-17 | [
[
"Yu",
"Der-Yeuan",
""
],
[
"Ranganathan",
"Aanjhan",
""
],
[
"Masti",
"Ramya Jayaram",
""
],
[
"Soriente",
"Claudio",
""
],
[
"Capkun",
"Srdjan",
""
]
] | The Location Service (LCS) proposed by the telecommunication industry is an architecture that allows the location of mobile devices to be accessed in various applications. We explore the use of LCS in location-enhanced server authentication, which traditionally relies on certificates. Given recent incidents involving c... |
2001.03416 | Saptarshi Kumar Lahiri Mr. | Saptarshi Kumar Lahiri, Kanishka Bhattacharya, Amit Shaw, L S
Ramachandra | A stable SPH with adaptive B-spline kernel | 34 Pages, 22 Figures | Journal of Computational Physics 422(2020) 109761 | 10.1016/j.jcp.2020.109761 | null | cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Tensile instability, often observed in smoothed particle hydrodynamics (SPH),
is a numerical artifact that manifests itself by unphysical clustering or
separation of particles. The instability originates in estimating the
derivatives of the smoothing functions which, when interact with material
constitution may resul... | [
{
"created": "Sat, 4 Jan 2020 09:27:32 GMT",
"version": "v1"
}
] | 2020-08-26 | [
[
"Lahiri",
"Saptarshi Kumar",
""
],
[
"Bhattacharya",
"Kanishka",
""
],
[
"Shaw",
"Amit",
""
],
[
"Ramachandra",
"L S",
""
]
] | Tensile instability, often observed in smoothed particle hydrodynamics (SPH), is a numerical artifact that manifests itself by unphysical clustering or separation of particles. The instability originates in estimating the derivatives of the smoothing functions which, when interact with material constitution may result ... |
2212.11584 | Yuanzhe Zhang | Yuanzhe Zhang, Shirui Pan and Jiangshan Yu | TxAllo: Dynamic Transaction Allocation in Sharded Blockchain Systems | Accepted by IEEE ICDE 2023 | null | null | null | cs.DB cs.AI cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The scalability problem has been one of the most significant barriers
limiting the adoption of blockchains. Blockchain sharding is a promising
approach to this problem. However, the sharding mechanism introduces a
significant number of cross-shard transactions, which are expensive to process.
This paper focuses on ... | [
{
"created": "Thu, 22 Dec 2022 10:22:31 GMT",
"version": "v1"
}
] | 2022-12-23 | [
[
"Zhang",
"Yuanzhe",
""
],
[
"Pan",
"Shirui",
""
],
[
"Yu",
"Jiangshan",
""
]
] | The scalability problem has been one of the most significant barriers limiting the adoption of blockchains. Blockchain sharding is a promising approach to this problem. However, the sharding mechanism introduces a significant number of cross-shard transactions, which are expensive to process. This paper focuses on the ... |
2112.05136 | Chuang Gan | Yining Hong, Li Yi, Joshua B. Tenenbaum, Antonio Torralba, Chuang Gan | PTR: A Benchmark for Part-based Conceptual, Relational, and Physical
Reasoning | NeurIPS 2021. Project page: http://ptr.csail.mit.edu/ | null | null | null | cs.CV cs.AI cs.CL cs.LG | http://creativecommons.org/publicdomain/zero/1.0/ | A critical aspect of human visual perception is the ability to parse visual
scenes into individual objects and further into object parts, forming
part-whole hierarchies. Such composite structures could induce a rich set of
semantic concepts and relations, thus playing an important role in the
interpretation and organ... | [
{
"created": "Thu, 9 Dec 2021 18:59:34 GMT",
"version": "v1"
}
] | 2021-12-10 | [
[
"Hong",
"Yining",
""
],
[
"Yi",
"Li",
""
],
[
"Tenenbaum",
"Joshua B.",
""
],
[
"Torralba",
"Antonio",
""
],
[
"Gan",
"Chuang",
""
]
] | A critical aspect of human visual perception is the ability to parse visual scenes into individual objects and further into object parts, forming part-whole hierarchies. Such composite structures could induce a rich set of semantic concepts and relations, thus playing an important role in the interpretation and organiz... |
1604.01846 | Mirza Kibria | Mirza Golam Kibria and Shan Lin | Resource Allocation Optimization for Users with Different Levels of
Service in Multicarrier Systems | Resource Allocation in MU-OFDM | IEEE Signal Process. Lett., vol. 22, no. 11, pp. 1869-1873, Nov.
2015 | 10.1109/LSP.2015.2440440 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We optimize the throughput of a single cell multiuser orthogonal frequency
division multiplexing system with proportional data rate fairness among the
users. The concept is to support mobile users with different levels of service.
The optimization problem is a mixed integer nonlinear programming problem,
which is com... | [
{
"created": "Thu, 7 Apr 2016 01:50:07 GMT",
"version": "v1"
}
] | 2016-04-08 | [
[
"Kibria",
"Mirza Golam",
""
],
[
"Lin",
"Shan",
""
]
] | We optimize the throughput of a single cell multiuser orthogonal frequency division multiplexing system with proportional data rate fairness among the users. The concept is to support mobile users with different levels of service. The optimization problem is a mixed integer nonlinear programming problem, which is compu... |
2306.07724 | Hakan Temiz | Hakan Temiz | Effects of Data Enrichment with Image Transformations on the Performance
of Deep Networks | null | The European Journal of Research and Development, 2(2), 23-33
(2022) | 10.56038/ejrnd.v2i2.23 | null | cs.CV cs.LG eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Images cannot always be expected to come in a certain standard format and
orientation. Deep networks need to be trained to take into account unexpected
variations in orientation or format. For this purpose, training data should be
enriched to include different conditions. In this study, the effects of data
enrichment... | [
{
"created": "Tue, 13 Jun 2023 12:22:54 GMT",
"version": "v1"
}
] | 2023-06-14 | [
[
"Temiz",
"Hakan",
""
]
] | Images cannot always be expected to come in a certain standard format and orientation. Deep networks need to be trained to take into account unexpected variations in orientation or format. For this purpose, training data should be enriched to include different conditions. In this study, the effects of data enrichment o... |
1610.06366 | Flavio D'Alessandro | Flavio D'Alessandro, Oscar H. Ibarra, Ian McQuillan | On Finite-Index Indexed Grammars and Their Restrictions | 16 pages, latest version | Information and Computation, Vol. 279, 2021, p. 1-13 | 10.1016/j.ic.2020.104613 | null | cs.FL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The family, L(INDLIN), of languages generated by linear indexed grammars has
been studied in the literature. It is known that the Parikh image of every
language in L(INDLIN) is semi-linear. However, there are bounded semi linear
languages that are not in L(INDLIN). Here, we look at larger families of
(restricted) ind... | [
{
"created": "Thu, 20 Oct 2016 11:30:10 GMT",
"version": "v1"
},
{
"created": "Thu, 27 Oct 2016 06:31:18 GMT",
"version": "v2"
},
{
"created": "Fri, 28 Oct 2016 16:35:53 GMT",
"version": "v3"
},
{
"created": "Wed, 7 Dec 2022 16:47:42 GMT",
"version": "v4"
}
] | 2022-12-08 | [
[
"D'Alessandro",
"Flavio",
""
],
[
"Ibarra",
"Oscar H.",
""
],
[
"McQuillan",
"Ian",
""
]
] | The family, L(INDLIN), of languages generated by linear indexed grammars has been studied in the literature. It is known that the Parikh image of every language in L(INDLIN) is semi-linear. However, there are bounded semi linear languages that are not in L(INDLIN). Here, we look at larger families of (restricted) index... |
2210.12582 | Liliang Ren | Liliang Ren, Zixuan Zhang, Han Wang, Clare R. Voss, Chengxiang Zhai,
Heng Ji | Language Model Pre-Training with Sparse Latent Typing | EMNLP 2022 (Oral) | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern large-scale Pre-trained Language Models (PLMs) have achieved
tremendous success on a wide range of downstream tasks. However, most of the LM
pre-training objectives only focus on text reconstruction, but have not sought
to learn latent-level interpretable representations of sentences. In this
paper, we manage ... | [
{
"created": "Sun, 23 Oct 2022 00:37:08 GMT",
"version": "v1"
},
{
"created": "Wed, 26 Oct 2022 22:41:30 GMT",
"version": "v2"
}
] | 2022-10-28 | [
[
"Ren",
"Liliang",
""
],
[
"Zhang",
"Zixuan",
""
],
[
"Wang",
"Han",
""
],
[
"Voss",
"Clare R.",
""
],
[
"Zhai",
"Chengxiang",
""
],
[
"Ji",
"Heng",
""
]
] | Modern large-scale Pre-trained Language Models (PLMs) have achieved tremendous success on a wide range of downstream tasks. However, most of the LM pre-training objectives only focus on text reconstruction, but have not sought to learn latent-level interpretable representations of sentences. In this paper, we manage to... |
2301.12974 | Daniel Rugeles | Daniel Rugeles and Zhen Hai and Juan Felipe Carmona and Manoranjan
Dash and Gao Cong | Improving the Inference of Topic Models via Infinite Latent State
Replications | null | null | null | null | cs.CL cs.AI cs.LG math.ST stat.TH | http://creativecommons.org/licenses/by/4.0/ | In text mining, topic models are a type of probabilistic generative models
for inferring latent semantic topics from text corpus. One of the most popular
inference approaches to topic models is perhaps collapsed Gibbs sampling (CGS),
which typically samples one single topic label for each observed document-word
pair.... | [
{
"created": "Wed, 25 Jan 2023 17:07:25 GMT",
"version": "v1"
}
] | 2023-01-31 | [
[
"Rugeles",
"Daniel",
""
],
[
"Hai",
"Zhen",
""
],
[
"Carmona",
"Juan Felipe",
""
],
[
"Dash",
"Manoranjan",
""
],
[
"Cong",
"Gao",
""
]
] | In text mining, topic models are a type of probabilistic generative models for inferring latent semantic topics from text corpus. One of the most popular inference approaches to topic models is perhaps collapsed Gibbs sampling (CGS), which typically samples one single topic label for each observed document-word pair. I... |
2405.05285 | Jelena Pavlovic | Jelena Pavlovic (University of Belgrade, Faculty of Philosophy and
Koucing centar Resarch Lab), Jugoslav Krstic, Luka Mitrovic, Djordje Babic,
Adrijana Milosavljevic, Milena Nikolic, Tijana Karaklic and Tijana Mitrovic
(Koucing centar Research Lab) | Generative AI as a metacognitive agent: A comparative mixed-method study
with human participants on ICF-mimicking exam performance | null | null | null | null | cs.HC cs.AI | http://creativecommons.org/licenses/by/4.0/ | This study investigates the metacognitive capabilities of Large Language
Models relative to human metacognition in the context of the International
Coaching Federation ICF mimicking exam, a situational judgment test related to
coaching competencies. Using a mixed method approach, we assessed the
metacognitive perform... | [
{
"created": "Tue, 7 May 2024 22:15:12 GMT",
"version": "v1"
}
] | 2024-05-10 | [
[
"Pavlovic",
"Jelena",
"",
"University of Belgrade, Faculty of Philosophy and\n Koucing centar Resarch Lab"
],
[
"Krstic",
"Jugoslav",
"",
"Koucing centar Research Lab"
],
[
"Mitrovic",
"Luka",
"",
"Koucing centar Research Lab"
],
[
"Babic",
"Djo... | This study investigates the metacognitive capabilities of Large Language Models relative to human metacognition in the context of the International Coaching Federation ICF mimicking exam, a situational judgment test related to coaching competencies. Using a mixed method approach, we assessed the metacognitive performan... |
2407.08947 | Jeeyung Kim | Jeeyung Kim, Ze Wang and Qiang Qiu | Constructing Concept-based Models to Mitigate Spurious Correlations with
Minimal Human Effort | null | null | null | null | cs.LG cs.CV | http://creativecommons.org/licenses/by/4.0/ | Enhancing model interpretability can address spurious correlations by
revealing how models draw their predictions. Concept Bottleneck Models (CBMs)
can provide a principled way of disclosing and guiding model behaviors through
human-understandable concepts, albeit at a high cost of human efforts in data
annotation. I... | [
{
"created": "Fri, 12 Jul 2024 03:07:28 GMT",
"version": "v1"
}
] | 2024-07-15 | [
[
"Kim",
"Jeeyung",
""
],
[
"Wang",
"Ze",
""
],
[
"Qiu",
"Qiang",
""
]
] | Enhancing model interpretability can address spurious correlations by revealing how models draw their predictions. Concept Bottleneck Models (CBMs) can provide a principled way of disclosing and guiding model behaviors through human-understandable concepts, albeit at a high cost of human efforts in data annotation. In ... |
2311.09137 | Izak Yasrebi-De Kom | Izak Yasrebi-de Kom, Joanna Klopotowska, Dave Dongelmans, Nicolette De
Keizer, Kitty Jager, Ameen Abu-Hanna, Giovanni Cin\`a | Causal prediction models for medication safety monitoring: The diagnosis
of vancomycin-induced acute kidney injury | Extended Abstract presented at Machine Learning for Health (ML4H)
symposium 2023, December 10th, 2023, New Orleans, United States, 14 pages | null | null | null | cs.LG stat.ME | http://creativecommons.org/licenses/by/4.0/ | The current best practice approach for the retrospective diagnosis of adverse
drug events (ADEs) in hospitalized patients relies on a full patient chart
review and a formal causality assessment by multiple medical experts. This
evaluation serves to qualitatively estimate the probability of causation (PC);
the probabi... | [
{
"created": "Wed, 15 Nov 2023 17:29:24 GMT",
"version": "v1"
}
] | 2023-12-08 | [
[
"Kom",
"Izak Yasrebi-de",
""
],
[
"Klopotowska",
"Joanna",
""
],
[
"Dongelmans",
"Dave",
""
],
[
"De Keizer",
"Nicolette",
""
],
[
"Jager",
"Kitty",
""
],
[
"Abu-Hanna",
"Ameen",
""
],
[
"Cinà",
"Giovanni",
... | The current best practice approach for the retrospective diagnosis of adverse drug events (ADEs) in hospitalized patients relies on a full patient chart review and a formal causality assessment by multiple medical experts. This evaluation serves to qualitatively estimate the probability of causation (PC); the probabili... |
2102.12786 | Nicolas Nicolaou | Antonio Fernandez Anta, Chryssis Georgiou, Theophanis Hadjistasi,
Nicolas Nicolaou, Efstathios Stavrakis, Andria Trigeorgi | Fragmented Objects: Boosting Concurrency of Shared Large Objects | null | null | null | null | cs.DC | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This work examines strategies to handle large shared data objects in
distributed storage systems (DSS), while boosting the number of concurrent
accesses, maintaining strong consistency guarantees, and ensuring good
operation performance. To this respect, we define the notion of fragmented
objects:con-current objects ... | [
{
"created": "Thu, 25 Feb 2021 11:17:41 GMT",
"version": "v1"
},
{
"created": "Sun, 7 Mar 2021 09:06:10 GMT",
"version": "v2"
}
] | 2021-03-09 | [
[
"Anta",
"Antonio Fernandez",
""
],
[
"Georgiou",
"Chryssis",
""
],
[
"Hadjistasi",
"Theophanis",
""
],
[
"Nicolaou",
"Nicolas",
""
],
[
"Stavrakis",
"Efstathios",
""
],
[
"Trigeorgi",
"Andria",
""
]
] | This work examines strategies to handle large shared data objects in distributed storage systems (DSS), while boosting the number of concurrent accesses, maintaining strong consistency guarantees, and ensuring good operation performance. To this respect, we define the notion of fragmented objects:con-current objects co... |
2302.03236 | Chuyang Ke | Chuyang Ke, Jean Honorio | Exact Inference in High-order Structured Prediction | null | International Conference on Machine Learning (ICML), 2023 | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we study the problem of inference in high-order structured
prediction tasks. In the context of Markov random fields, the goal of a
high-order inference task is to maximize a score function on the space of
labels, and the score function can be decomposed into sum of unary and
high-order potentials. We a... | [
{
"created": "Tue, 7 Feb 2023 03:42:57 GMT",
"version": "v1"
}
] | 2023-10-23 | [
[
"Ke",
"Chuyang",
""
],
[
"Honorio",
"Jean",
""
]
] | In this paper, we study the problem of inference in high-order structured prediction tasks. In the context of Markov random fields, the goal of a high-order inference task is to maximize a score function on the space of labels, and the score function can be decomposed into sum of unary and high-order potentials. We app... |
1902.08160 | Maxime Gabella | Maxime Gabella | Topology of Learning in Artificial Neural Networks | 8 pages, 8 figures | null | 10.1109/TNNLS.2020.3015790 | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Understanding how neural networks learn remains one of the central challenges
in machine learning research. From random at the start of training, the weights
of a neural network evolve in such a way as to be able to perform a variety of
tasks, like classifying images. Here we study the emergence of structure in the
w... | [
{
"created": "Thu, 21 Feb 2019 17:48:45 GMT",
"version": "v1"
},
{
"created": "Thu, 23 May 2019 07:51:42 GMT",
"version": "v2"
},
{
"created": "Fri, 31 May 2019 08:16:12 GMT",
"version": "v3"
},
{
"created": "Tue, 27 Oct 2020 11:54:59 GMT",
"version": "v4"
}
] | 2020-10-28 | [
[
"Gabella",
"Maxime",
""
]
] | Understanding how neural networks learn remains one of the central challenges in machine learning research. From random at the start of training, the weights of a neural network evolve in such a way as to be able to perform a variety of tasks, like classifying images. Here we study the emergence of structure in the wei... |
2201.07906 | Lee Kezar | Lee Kezar, Pei Zhou | The Role of Facial Expressions and Emotion in ASL | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | There is little prior work on quantifying the relationships between facial
expressions and emotionality in American Sign Language. In this final report,
we provide two methods for studying these relationships through probability and
prediction. Using a large corpus of natural signing manually annotated with
facial fe... | [
{
"created": "Wed, 19 Jan 2022 23:11:48 GMT",
"version": "v1"
}
] | 2022-01-21 | [
[
"Kezar",
"Lee",
""
],
[
"Zhou",
"Pei",
""
]
] | There is little prior work on quantifying the relationships between facial expressions and emotionality in American Sign Language. In this final report, we provide two methods for studying these relationships through probability and prediction. Using a large corpus of natural signing manually annotated with facial feat... |
2312.09670 | Jesus Lovon | Jes\'us Lov\'on-Melgarejo, Jose G. Moreno, Romaric Besan\c{c}on,
Olivier Ferret, Lynda Tamine | Probing Pretrained Language Models with Hierarchy Properties | Accepted at ECIR 2024 | null | null | null | cs.CL cs.IR | http://creativecommons.org/licenses/by/4.0/ | Since Pretrained Language Models (PLMs) are the cornerstone of the most
recent Information Retrieval (IR) models, the way they encode semantic
knowledge is particularly important. However, little attention has been given
to studying the PLMs' capability to capture hierarchical semantic knowledge.
Traditionally, evalu... | [
{
"created": "Fri, 15 Dec 2023 10:31:36 GMT",
"version": "v1"
}
] | 2023-12-18 | [
[
"Lovón-Melgarejo",
"Jesús",
""
],
[
"Moreno",
"Jose G.",
""
],
[
"Besançon",
"Romaric",
""
],
[
"Ferret",
"Olivier",
""
],
[
"Tamine",
"Lynda",
""
]
] | Since Pretrained Language Models (PLMs) are the cornerstone of the most recent Information Retrieval (IR) models, the way they encode semantic knowledge is particularly important. However, little attention has been given to studying the PLMs' capability to capture hierarchical semantic knowledge. Traditionally, evaluat... |
2308.09882 | Jie Cheng | Jie Cheng, Xiaodong Mei and Ming Liu | Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with
Masked Autoencoders | ICCV2023 | null | null | null | cs.RO cs.CV | http://creativecommons.org/licenses/by/4.0/ | This study explores the application of self-supervised learning (SSL) to the
task of motion forecasting, an area that has not yet been extensively
investigated despite the widespread success of SSL in computer vision and
natural language processing. To address this gap, we introduce Forecast-MAE, an
extension of the ... | [
{
"created": "Sat, 19 Aug 2023 02:27:51 GMT",
"version": "v1"
}
] | 2023-08-22 | [
[
"Cheng",
"Jie",
""
],
[
"Mei",
"Xiaodong",
""
],
[
"Liu",
"Ming",
""
]
] | This study explores the application of self-supervised learning (SSL) to the task of motion forecasting, an area that has not yet been extensively investigated despite the widespread success of SSL in computer vision and natural language processing. To address this gap, we introduce Forecast-MAE, an extension of the ma... |
1905.13271 | Isaac Lage | Isaac Lage, Daphna Lifschitz, Finale Doshi-Velez, Ofra Amir | Exploring Computational User Models for Agent Policy Summarization | To appear at IJCAI 2019. 14 pages (incl references and appendix) | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | AI agents are being developed to support high stakes decision-making
processes from driving cars to prescribing drugs, making it increasingly
important for human users to understand their behavior. Policy summarization
methods aim to convey strengths and weaknesses of such agents by demonstrating
their behavior in a ... | [
{
"created": "Thu, 30 May 2019 19:32:46 GMT",
"version": "v1"
}
] | 2019-06-03 | [
[
"Lage",
"Isaac",
""
],
[
"Lifschitz",
"Daphna",
""
],
[
"Doshi-Velez",
"Finale",
""
],
[
"Amir",
"Ofra",
""
]
] | AI agents are being developed to support high stakes decision-making processes from driving cars to prescribing drugs, making it increasingly important for human users to understand their behavior. Policy summarization methods aim to convey strengths and weaknesses of such agents by demonstrating their behavior in a su... |
2111.10699 | Nate Veldt | Nate Veldt | Correlation Clustering via Strong Triadic Closure Labeling: Fast
Approximation Algorithms and Practical Lower Bounds | ICML 2022 | null | null | null | cs.DS cs.DM cs.LG cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Correlation clustering is a widely studied framework for clustering based on
pairwise similarity and dissimilarity scores, but its best approximation
algorithms rely on impractical linear programming relaxations. We present
faster approximation algorithms that avoid these relaxations, for two
well-studied special cas... | [
{
"created": "Sat, 20 Nov 2021 22:47:19 GMT",
"version": "v1"
},
{
"created": "Thu, 23 Jun 2022 19:36:15 GMT",
"version": "v2"
}
] | 2022-06-27 | [
[
"Veldt",
"Nate",
""
]
] | Correlation clustering is a widely studied framework for clustering based on pairwise similarity and dissimilarity scores, but its best approximation algorithms rely on impractical linear programming relaxations. We present faster approximation algorithms that avoid these relaxations, for two well-studied special cases... |
2407.12094 | Minh Nguyen | Minh Nguyen, Franck Dernoncourt, Seunghyun Yoon, Hanieh Deilamsalehy,
Hao Tan, Ryan Rossi, Quan Hung Tran, Trung Bui, Thien Huu Nguyen | Identifying Speakers in Dialogue Transcripts: A Text-based Approach
Using Pretrained Language Models | accepted to INTERSPEECH 2024 | null | null | null | cs.CL | http://creativecommons.org/licenses/by-sa/4.0/ | We introduce an approach to identifying speaker names in dialogue
transcripts, a crucial task for enhancing content accessibility and
searchability in digital media archives. Despite the advancements in speech
recognition, the task of text-based speaker identification (SpeakerID) has
received limited attention, lacki... | [
{
"created": "Tue, 16 Jul 2024 18:03:58 GMT",
"version": "v1"
}
] | 2024-07-18 | [
[
"Nguyen",
"Minh",
""
],
[
"Dernoncourt",
"Franck",
""
],
[
"Yoon",
"Seunghyun",
""
],
[
"Deilamsalehy",
"Hanieh",
""
],
[
"Tan",
"Hao",
""
],
[
"Rossi",
"Ryan",
""
],
[
"Tran",
"Quan Hung",
""
],
[
... | We introduce an approach to identifying speaker names in dialogue transcripts, a crucial task for enhancing content accessibility and searchability in digital media archives. Despite the advancements in speech recognition, the task of text-based speaker identification (SpeakerID) has received limited attention, lacking... |
2212.01714 | Aditi Agrawal | Aditi Agrawal, Benjamin Reed | A survey on grading format of automated grading tools for programming
assignments | null | 15th annual International Conference of Education, Research and
Innovation (2022) 7506-7514 | 10.21125/iceri.2022.1912 | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The prevalence of online platforms and studies has generated the demand for
automated grading tools, and as a result, there are plenty in the market. Such
tools are developed to grade coding assignments quickly, accurately, and
effortlessly. Since there are varieties of tools available to cater to the
diverse options... | [
{
"created": "Sun, 4 Dec 2022 00:49:16 GMT",
"version": "v1"
}
] | 2022-12-06 | [
[
"Agrawal",
"Aditi",
""
],
[
"Reed",
"Benjamin",
""
]
] | The prevalence of online platforms and studies has generated the demand for automated grading tools, and as a result, there are plenty in the market. Such tools are developed to grade coding assignments quickly, accurately, and effortlessly. Since there are varieties of tools available to cater to the diverse options o... |
2109.04226 | Jing Dong | Jing Dong, Shuai Li, Baoxiang Wang | Incentivizing an Unknown Crowd | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Motivated by the common strategic activities in crowdsourcing labeling, we
study the problem of sequential eliciting information without verification
(EIWV) for workers with a heterogeneous and unknown crowd. We propose a
reinforcement learning-based approach that is effective against a wide range of
settings includi... | [
{
"created": "Thu, 9 Sep 2021 12:42:26 GMT",
"version": "v1"
}
] | 2021-09-10 | [
[
"Dong",
"Jing",
""
],
[
"Li",
"Shuai",
""
],
[
"Wang",
"Baoxiang",
""
]
] | Motivated by the common strategic activities in crowdsourcing labeling, we study the problem of sequential eliciting information without verification (EIWV) for workers with a heterogeneous and unknown crowd. We propose a reinforcement learning-based approach that is effective against a wide range of settings including... |
2401.17244 | Yuan Chiang | Yuan Chiang, Elvis Hsieh, Chia-Hong Chou, Janosh Riebesell | LLaMP: Large Language Model Made Powerful for High-fidelity Materials
Knowledge Retrieval and Distillation | 31 pages, 5 figures | null | null | null | cs.CL cond-mat.mtrl-sci cs.AI | http://creativecommons.org/licenses/by/4.0/ | Reducing hallucination of Large Language Models (LLMs) is imperative for use
in the sciences, where reliability and reproducibility are crucial. However,
LLMs inherently lack long-term memory, making it a nontrivial, ad hoc, and
inevitably biased task to fine-tune them on domain-specific literature and
data. Here we ... | [
{
"created": "Tue, 30 Jan 2024 18:37:45 GMT",
"version": "v1"
},
{
"created": "Sun, 2 Jun 2024 07:50:21 GMT",
"version": "v2"
}
] | 2024-06-04 | [
[
"Chiang",
"Yuan",
""
],
[
"Hsieh",
"Elvis",
""
],
[
"Chou",
"Chia-Hong",
""
],
[
"Riebesell",
"Janosh",
""
]
] | Reducing hallucination of Large Language Models (LLMs) is imperative for use in the sciences, where reliability and reproducibility are crucial. However, LLMs inherently lack long-term memory, making it a nontrivial, ad hoc, and inevitably biased task to fine-tune them on domain-specific literature and data. Here we in... |
1907.12172 | Amal Gunatilake | Amal Gunatilake, Lasitha Piyathilaka, Sarath Kodagoda, Stephen
Barclay, Dammika Vitanage | Real-Time 3D Profiling with RGB-D Mapping in Pipelines Using Stereo
Camera Vision and Structured IR Laser Ring | 6 pages, 14 figures, ICIEA 2019 conference paper, Robotics | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper is focused on delivering a solution that can scan and reconstruct
the 3D profile of a pipeline in real-time using a crawler robot. A structured
infrared (IR) laser ring projector and a stereo camera system are used to
generate the 3D profile of the pipe as the robot moves inside the pipe. The
proposed ster... | [
{
"created": "Mon, 29 Jul 2019 01:50:52 GMT",
"version": "v1"
}
] | 2019-07-30 | [
[
"Gunatilake",
"Amal",
""
],
[
"Piyathilaka",
"Lasitha",
""
],
[
"Kodagoda",
"Sarath",
""
],
[
"Barclay",
"Stephen",
""
],
[
"Vitanage",
"Dammika",
""
]
] | This paper is focused on delivering a solution that can scan and reconstruct the 3D profile of a pipeline in real-time using a crawler robot. A structured infrared (IR) laser ring projector and a stereo camera system are used to generate the 3D profile of the pipe as the robot moves inside the pipe. The proposed stereo... |
1609.08442 | Lantian Li Mr. | Lantian Li, Zhiyuan Tang, Dong Wang, Andrew Abel, Yang Feng, Shiyue
Zhang | Collaborative Learning for Language and Speaker Recognition | null | null | null | null | cs.SD cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a unified model to perform language and speaker
recognition simultaneously and altogether. The model is based on a multi-task
recurrent neural network where the output of one task is fed as the input of
the other, leading to a collaborative learning framework that can improve both
language and spe... | [
{
"created": "Tue, 27 Sep 2016 13:48:01 GMT",
"version": "v1"
},
{
"created": "Tue, 23 May 2017 09:56:54 GMT",
"version": "v2"
}
] | 2017-05-24 | [
[
"Li",
"Lantian",
""
],
[
"Tang",
"Zhiyuan",
""
],
[
"Wang",
"Dong",
""
],
[
"Abel",
"Andrew",
""
],
[
"Feng",
"Yang",
""
],
[
"Zhang",
"Shiyue",
""
]
] | This paper presents a unified model to perform language and speaker recognition simultaneously and altogether. The model is based on a multi-task recurrent neural network where the output of one task is fed as the input of the other, leading to a collaborative learning framework that can improve both language and speak... |
1707.04412 | Alon Talmor | Alon Talmor, Mor Geva, Jonathan Berant | Evaluating Semantic Parsing against a Simple Web-based Question
Answering Model | *sem 2017 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Semantic parsing shines at analyzing complex natural language that involves
composition and computation over multiple pieces of evidence. However, datasets
for semantic parsing contain many factoid questions that can be answered from a
single web document. In this paper, we propose to evaluate semantic
parsing-based ... | [
{
"created": "Fri, 14 Jul 2017 08:25:36 GMT",
"version": "v1"
}
] | 2017-07-17 | [
[
"Talmor",
"Alon",
""
],
[
"Geva",
"Mor",
""
],
[
"Berant",
"Jonathan",
""
]
] | Semantic parsing shines at analyzing complex natural language that involves composition and computation over multiple pieces of evidence. However, datasets for semantic parsing contain many factoid questions that can be answered from a single web document. In this paper, we propose to evaluate semantic parsing-based qu... |
2310.00819 | Ziqi Wang | Tianci Xue, Ziqi Wang, Heng Ji | Parameter-Efficient Tuning Helps Language Model Alignment | 21 pages, 11 figures, 5 tables | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Aligning large language models (LLMs) with human preferences is essential for
safe and useful LLMs. Previous works mainly adopt reinforcement learning (RLHF)
and direct preference optimization (DPO) with human feedback for alignment.
Nevertheless, they have certain drawbacks. One such limitation is that they can
only... | [
{
"created": "Sun, 1 Oct 2023 23:27:14 GMT",
"version": "v1"
}
] | 2023-10-03 | [
[
"Xue",
"Tianci",
""
],
[
"Wang",
"Ziqi",
""
],
[
"Ji",
"Heng",
""
]
] | Aligning large language models (LLMs) with human preferences is essential for safe and useful LLMs. Previous works mainly adopt reinforcement learning (RLHF) and direct preference optimization (DPO) with human feedback for alignment. Nevertheless, they have certain drawbacks. One such limitation is that they can only a... |
2407.18902 | Haozhi Qi | Jun Wang, Ying Yuan, Haichuan Che, Haozhi Qi, Yi Ma, Jitendra Malik,
Xiaolong Wang | Lessons from Learning to Spin "Pens" | Website: https://penspin.github.io/ | null | null | null | cs.RO cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In-hand manipulation of pen-like objects is an important skill in our daily
lives, as many tools such as hammers and screwdrivers are similarly shaped.
However, current learning-based methods struggle with this task due to a lack
of high-quality demonstrations and the significant gap between simulation and
the real w... | [
{
"created": "Fri, 26 Jul 2024 17:56:01 GMT",
"version": "v1"
}
] | 2024-07-29 | [
[
"Wang",
"Jun",
""
],
[
"Yuan",
"Ying",
""
],
[
"Che",
"Haichuan",
""
],
[
"Qi",
"Haozhi",
""
],
[
"Ma",
"Yi",
""
],
[
"Malik",
"Jitendra",
""
],
[
"Wang",
"Xiaolong",
""
]
] | In-hand manipulation of pen-like objects is an important skill in our daily lives, as many tools such as hammers and screwdrivers are similarly shaped. However, current learning-based methods struggle with this task due to a lack of high-quality demonstrations and the significant gap between simulation and the real wor... |
1906.00890 | Mauro Franceschelli | Mauro Franceschelli and Paolo Frasca | Stability of Open Multi-Agent Systems and Applications to Dynamic
Consensus | null | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this technical note we consider a class of multi-agent network systems
that we refer to as Open Multi-Agent Systems (OMAS): in these multi-agent
systems, an indefinite number of agents may join or leave the network at any
time. Focusing on discrete-time evolutions of scalar agents, we provide a novel
theoretical f... | [
{
"created": "Mon, 3 Jun 2019 15:48:40 GMT",
"version": "v1"
}
] | 2019-06-04 | [
[
"Franceschelli",
"Mauro",
""
],
[
"Frasca",
"Paolo",
""
]
] | In this technical note we consider a class of multi-agent network systems that we refer to as Open Multi-Agent Systems (OMAS): in these multi-agent systems, an indefinite number of agents may join or leave the network at any time. Focusing on discrete-time evolutions of scalar agents, we provide a novel theoretical fra... |
2405.07845 | Zhenguo Gao Prof. | Shulei Qu, Zhenguo Gao, Xiaowei Chen, Na Li, Yakai Wang, Xiaoxiao Wu | Multi-Task Learning for Fatigue Detection and Face Recognition of
Drivers via Tree-Style Space-Channel Attention Fusion Network | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | In driving scenarios, automobile active safety systems are increasingly
incorporating deep learning technology. These systems typically need to handle
multiple tasks simultaneously, such as detecting fatigue driving and
recognizing the driver's identity. However, the traditional parallel-style
approach of combining m... | [
{
"created": "Mon, 13 May 2024 15:34:20 GMT",
"version": "v1"
}
] | 2024-05-14 | [
[
"Qu",
"Shulei",
""
],
[
"Gao",
"Zhenguo",
""
],
[
"Chen",
"Xiaowei",
""
],
[
"Li",
"Na",
""
],
[
"Wang",
"Yakai",
""
],
[
"Wu",
"Xiaoxiao",
""
]
] | In driving scenarios, automobile active safety systems are increasingly incorporating deep learning technology. These systems typically need to handle multiple tasks simultaneously, such as detecting fatigue driving and recognizing the driver's identity. However, the traditional parallel-style approach of combining mul... |
1704.00537 | Ahmad Nauman Ghazi | Ahmad Nauman Ghazi, Kai Petersen, Elizabeth Bjarnason, Per Runeson | Exploratory Testing: One Size Doesn't Fit All | Submitted to IEEE Software | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Exploratory testing (ET) is a powerful and efficient way of testing software
by integrating design, execution, and analysis of tests during a testing
session. ET is often contrasted with scripted testing, and seen as a choice
between black and white. We pose that there are different levels of exploratory
testing from... | [
{
"created": "Mon, 3 Apr 2017 11:46:55 GMT",
"version": "v1"
}
] | 2017-04-04 | [
[
"Ghazi",
"Ahmad Nauman",
""
],
[
"Petersen",
"Kai",
""
],
[
"Bjarnason",
"Elizabeth",
""
],
[
"Runeson",
"Per",
""
]
] | Exploratory testing (ET) is a powerful and efficient way of testing software by integrating design, execution, and analysis of tests during a testing session. ET is often contrasted with scripted testing, and seen as a choice between black and white. We pose that there are different levels of exploratory testing from f... |
2102.09256 | Elias Rohrer | Kimberly Lange, Elias Rohrer, Florian Tschorsch | On the Impact of Attachment Strategies for Payment Channel Networks | To be published in conjunction with the 2021 IEEE International
Conference on Blockchain and Cryptocurrency (ICBC) | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Payment channel networks, such as Bitcoin's Lightning Network, promise to
improve the scalability of blockchain systems by processing the majority of
transactions off-chain. Due to the design, the positioning of nodes in the
network topology is a highly influential factor regarding the experienced
performance, costs,... | [
{
"created": "Thu, 18 Feb 2021 10:27:59 GMT",
"version": "v1"
}
] | 2021-02-19 | [
[
"Lange",
"Kimberly",
""
],
[
"Rohrer",
"Elias",
""
],
[
"Tschorsch",
"Florian",
""
]
] | Payment channel networks, such as Bitcoin's Lightning Network, promise to improve the scalability of blockchain systems by processing the majority of transactions off-chain. Due to the design, the positioning of nodes in the network topology is a highly influential factor regarding the experienced performance, costs, a... |
1704.02083 | Li Sulimowicz Mrs. | Li Sulimowicz, Ishfaq Ahmad | "RAPID" Regions-of-Interest Detection In Big Histopathological Images | 6 pages, 5 figures, ICME conference | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The sheer volume and size of histopathological images (e.g.,10^6 MPixel)
underscores the need for faster and more accurate Regions-of-interest (ROI)
detection algorithms. In this paper, we propose such an algorithm, which has
four main components that help achieve greater accuracy and faster speed:
First, while using... | [
{
"created": "Fri, 7 Apr 2017 03:34:40 GMT",
"version": "v1"
}
] | 2017-04-10 | [
[
"Sulimowicz",
"Li",
""
],
[
"Ahmad",
"Ishfaq",
""
]
] | The sheer volume and size of histopathological images (e.g.,10^6 MPixel) underscores the need for faster and more accurate Regions-of-interest (ROI) detection algorithms. In this paper, we propose such an algorithm, which has four main components that help achieve greater accuracy and faster speed: First, while using c... |
2309.16292 | Licheng Wen | Licheng Wen, Daocheng Fu, Xin Li, Xinyu Cai, Tao Ma, Pinlong Cai, Min
Dou, Botian Shi, Liang He, Yu Qiao | DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large
Language Models | Published as a conference paper at ICLR 2024 | null | null | null | cs.RO cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advancements in autonomous driving have relied on data-driven
approaches, which are widely adopted but face challenges including dataset
bias, overfitting, and uninterpretability. Drawing inspiration from the
knowledge-driven nature of human driving, we explore the question of how to
instill similar capabiliti... | [
{
"created": "Thu, 28 Sep 2023 09:41:35 GMT",
"version": "v1"
},
{
"created": "Thu, 12 Oct 2023 11:11:47 GMT",
"version": "v2"
},
{
"created": "Thu, 22 Feb 2024 03:24:26 GMT",
"version": "v3"
}
] | 2024-02-23 | [
[
"Wen",
"Licheng",
""
],
[
"Fu",
"Daocheng",
""
],
[
"Li",
"Xin",
""
],
[
"Cai",
"Xinyu",
""
],
[
"Ma",
"Tao",
""
],
[
"Cai",
"Pinlong",
""
],
[
"Dou",
"Min",
""
],
[
"Shi",
"Botian",
""
],... | Recent advancements in autonomous driving have relied on data-driven approaches, which are widely adopted but face challenges including dataset bias, overfitting, and uninterpretability. Drawing inspiration from the knowledge-driven nature of human driving, we explore the question of how to instill similar capabilities... |
2309.09120 | Zhixuan Zhou | Kyrie Zhixuan Zhou, Madelyn Rose Sanfilippo | Public Perceptions of Gender Bias in Large Language Models: Cases of
ChatGPT and Ernie | null | null | null | null | cs.AI cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large language models are quickly gaining momentum, yet are found to
demonstrate gender bias in their responses. In this paper, we conducted a
content analysis of social media discussions to gauge public perceptions of
gender bias in LLMs which are trained in different cultural contexts, i.e.,
ChatGPT, a US-based LLM... | [
{
"created": "Sun, 17 Sep 2023 00:53:34 GMT",
"version": "v1"
}
] | 2023-09-19 | [
[
"Zhou",
"Kyrie Zhixuan",
""
],
[
"Sanfilippo",
"Madelyn Rose",
""
]
] | Large language models are quickly gaining momentum, yet are found to demonstrate gender bias in their responses. In this paper, we conducted a content analysis of social media discussions to gauge public perceptions of gender bias in LLMs which are trained in different cultural contexts, i.e., ChatGPT, a US-based LLM, ... |
2403.17881 | Gan Pei | Gan Pei, Jiangning Zhang, Menghan Hu, Zhenyu Zhang, Chengjie Wang,
Yunsheng Wu, Guangtao Zhai, Jian Yang, Chunhua Shen, Dacheng Tao | Deepfake Generation and Detection: A Benchmark and Survey | We closely follow the latest developments in
https://github.com/flyingby/Awesome-Deepfake-Generation-and-Detection | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deepfake is a technology dedicated to creating highly realistic facial images
and videos under specific conditions, which has significant application
potential in fields such as entertainment, movie production, digital human
creation, to name a few. With the advancements in deep learning, techniques
primarily represe... | [
{
"created": "Tue, 26 Mar 2024 17:12:34 GMT",
"version": "v1"
},
{
"created": "Tue, 9 Apr 2024 13:56:06 GMT",
"version": "v2"
},
{
"created": "Sat, 20 Apr 2024 09:06:02 GMT",
"version": "v3"
},
{
"created": "Thu, 16 May 2024 10:38:58 GMT",
"version": "v4"
}
] | 2024-05-17 | [
[
"Pei",
"Gan",
""
],
[
"Zhang",
"Jiangning",
""
],
[
"Hu",
"Menghan",
""
],
[
"Zhang",
"Zhenyu",
""
],
[
"Wang",
"Chengjie",
""
],
[
"Wu",
"Yunsheng",
""
],
[
"Zhai",
"Guangtao",
""
],
[
"Yang",
... | Deepfake is a technology dedicated to creating highly realistic facial images and videos under specific conditions, which has significant application potential in fields such as entertainment, movie production, digital human creation, to name a few. With the advancements in deep learning, techniques primarily represent... |
2101.01139 | Sarah Aguasvivas Manzano | Sarah Aguasvivas Manzano, Patricia Xu, Khoi Ly, Robert Shepherd,
Nikolaus Correll | High-bandwidth nonlinear control for soft actuators with recursive
network models | International Symposium on Experimental Robotics (ISER) 2020, Malta | null | 10.1007/978-3-030-71151-1_52 | null | cs.RO cs.AI cs.NA cs.SE cs.SY eess.SY math.NA | http://creativecommons.org/licenses/by/4.0/ | We present a high-bandwidth, lightweight, and nonlinear output tracking
technique for soft actuators that combines parsimonious recursive layers for
forward output predictions and online optimization using Newton-Raphson. This
technique allows for reduced model sizes and increased control loop frequencies
when compar... | [
{
"created": "Mon, 4 Jan 2021 18:12:41 GMT",
"version": "v1"
}
] | 2022-05-24 | [
[
"Manzano",
"Sarah Aguasvivas",
""
],
[
"Xu",
"Patricia",
""
],
[
"Ly",
"Khoi",
""
],
[
"Shepherd",
"Robert",
""
],
[
"Correll",
"Nikolaus",
""
]
] | We present a high-bandwidth, lightweight, and nonlinear output tracking technique for soft actuators that combines parsimonious recursive layers for forward output predictions and online optimization using Newton-Raphson. This technique allows for reduced model sizes and increased control loop frequencies when compared... |
2404.17754 | Kohei Fujita | Tsuyoshi Ichimura, Kohei Fujita, Ryota Kusakabe, Hiroyuki Fujiwara,
Muneo Hori, Maddegedara Lalith | Development of an Estimation Method for the Seismic Motion
Reproducibility of a Three-dimensional Ground Structure Model by combining
Surface-observed Seismic Motion and Three-dimensional Seismic Motion Analysis | 16 pages, 10 figures, accepted for IHPCES/ICCS 2024 (14th
International Workshop on Advances in High-Performance Computational Earth
Sciences: NumericalMethods, Frameworks & Applications / 24th International
Conference on Computational Science) | ICCS 2024. ICCS 2024. Lecture Notes in Computer Science, vol
14834. Springer, Cham | 10.1007/978-3-031-63759-9_32 | null | cs.CE | http://creativecommons.org/licenses/by/4.0/ | The ground structure can substantially influence seismic ground motion
underscoring the need to develop a ground structure model with sufficient
reliability in terms of ground motion estimation for earthquake damage
mitigation. While many methods for generating ground structure models have been
proposed and used in p... | [
{
"created": "Sat, 27 Apr 2024 02:04:57 GMT",
"version": "v1"
}
] | 2024-07-02 | [
[
"Ichimura",
"Tsuyoshi",
""
],
[
"Fujita",
"Kohei",
""
],
[
"Kusakabe",
"Ryota",
""
],
[
"Fujiwara",
"Hiroyuki",
""
],
[
"Hori",
"Muneo",
""
],
[
"Lalith",
"Maddegedara",
""
]
] | The ground structure can substantially influence seismic ground motion underscoring the need to develop a ground structure model with sufficient reliability in terms of ground motion estimation for earthquake damage mitigation. While many methods for generating ground structure models have been proposed and used in pra... |
1711.02059 | Serhii Nazarovets | Vladimir Lazarev, Serhii Nazarovets and Alexey Skalaban | Evaluation of research activities of universities of Ukraine and
Belarus: a set of bibliometric indicators and its implementation | null | Romanian Journal of Library and Information Science. 2017, 13(3):
75-84 | 10.26660/rrbsi.2017.13.3.75 | null | cs.DL | http://creativecommons.org/licenses/by/4.0/ | Monitoring bibliometric indicators of University rankings is considered as a
subject of a University library activity. In order to fulfill comparative
assessment of research activities of the universities of Ukraine and Belarus
the authors introduced a set of bibliometric indicators. A comparative
assessment of the r... | [
{
"created": "Mon, 6 Nov 2017 18:05:40 GMT",
"version": "v1"
}
] | 2018-01-11 | [
[
"Lazarev",
"Vladimir",
""
],
[
"Nazarovets",
"Serhii",
""
],
[
"Skalaban",
"Alexey",
""
]
] | Monitoring bibliometric indicators of University rankings is considered as a subject of a University library activity. In order to fulfill comparative assessment of research activities of the universities of Ukraine and Belarus the authors introduced a set of bibliometric indicators. A comparative assessment of the res... |
2006.07350 | Kashif Inayat | Usama Khalid, Muhammad Abdullah and Kashif Inayat | Exploiting ML algorithms for Efficient Detection and Prevention of
JavaScript-XSS Attacks in Android Based Hybrid Applications | null | null | null | null | cs.CR cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The development and analysis of mobile applications in term of security have
become an active research area from many years as many apps are vulnerable to
different attacks. Especially the concept of hybrid applications has emerged in
the last three years where applications are developed in both native and web
langua... | [
{
"created": "Fri, 12 Jun 2020 17:39:26 GMT",
"version": "v1"
},
{
"created": "Thu, 30 Jul 2020 06:37:37 GMT",
"version": "v2"
}
] | 2020-07-31 | [
[
"Khalid",
"Usama",
""
],
[
"Abdullah",
"Muhammad",
""
],
[
"Inayat",
"Kashif",
""
]
] | The development and analysis of mobile applications in term of security have become an active research area from many years as many apps are vulnerable to different attacks. Especially the concept of hybrid applications has emerged in the last three years where applications are developed in both native and web language... |
2009.07227 | Tiankai Xie | Tiankai Xie, Yuxin Ma, Hanghang Tong, My T. Thai, Ross Maciejewski | Auditing the Sensitivity of Graph-based Ranking with Visual Analytics | 11 pages, accepted by IEEE Transactions on Visualization and Computer
Graphics | null | null | null | cs.SI cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph mining plays a pivotal role across a number of disciplines, and a
variety of algorithms have been developed to answer who/what type questions.
For example, what items shall we recommend to a given user on an e-commerce
platform? The answers to such questions are typically returned in the form of a
ranked list, ... | [
{
"created": "Tue, 15 Sep 2020 17:07:20 GMT",
"version": "v1"
}
] | 2020-09-16 | [
[
"Xie",
"Tiankai",
""
],
[
"Ma",
"Yuxin",
""
],
[
"Tong",
"Hanghang",
""
],
[
"Thai",
"My T.",
""
],
[
"Maciejewski",
"Ross",
""
]
] | Graph mining plays a pivotal role across a number of disciplines, and a variety of algorithms have been developed to answer who/what type questions. For example, what items shall we recommend to a given user on an e-commerce platform? The answers to such questions are typically returned in the form of a ranked list, an... |
1910.11683 | Antony Thomas | Antony Thomas, Fulvio Mastrogiovanni and Marco Baglietto | Task-Motion Planning for Navigation in Belief Space | Accepted for publication in the proceedings of the International
Symposium on Robotics Research (ISRR) 2019. arXiv admin note: text overlap
with arXiv:1908.10227 | null | null | null | cs.RO cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present an integrated Task-Motion Planning (TMP) framework for navigation
in large-scale environment. Autonomous robots operating in real world complex
scenarios require planning in the discrete (task) space and the continuous
(motion) space. In knowledge intensive domains, on the one hand, a robot has to
reason a... | [
{
"created": "Thu, 24 Oct 2019 10:11:50 GMT",
"version": "v1"
}
] | 2019-10-28 | [
[
"Thomas",
"Antony",
""
],
[
"Mastrogiovanni",
"Fulvio",
""
],
[
"Baglietto",
"Marco",
""
]
] | We present an integrated Task-Motion Planning (TMP) framework for navigation in large-scale environment. Autonomous robots operating in real world complex scenarios require planning in the discrete (task) space and the continuous (motion) space. In knowledge intensive domains, on the one hand, a robot has to reason at ... |
1805.02266 | Vered Shwartz | Max Glockner, Vered Shwartz, and Yoav Goldberg | Breaking NLI Systems with Sentences that Require Simple Lexical
Inferences | 6 pages, short paper at ACL 2018 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We create a new NLI test set that shows the deficiency of state-of-the-art
models in inferences that require lexical and world knowledge. The new examples
are simpler than the SNLI test set, containing sentences that differ by at most
one word from sentences in the training set. Yet, the performance on the new
test s... | [
{
"created": "Sun, 6 May 2018 18:49:48 GMT",
"version": "v1"
}
] | 2018-05-08 | [
[
"Glockner",
"Max",
""
],
[
"Shwartz",
"Vered",
""
],
[
"Goldberg",
"Yoav",
""
]
] | We create a new NLI test set that shows the deficiency of state-of-the-art models in inferences that require lexical and world knowledge. The new examples are simpler than the SNLI test set, containing sentences that differ by at most one word from sentences in the training set. Yet, the performance on the new test set... |
1803.06978 | Cihang Xie | Cihang Xie, Zhishuai Zhang, Yuyin Zhou, Song Bai, Jianyu Wang, Zhou
Ren, Alan Yuille | Improving Transferability of Adversarial Examples with Input Diversity | CVPR 2019, code is available at:
https://github.com/cihangxie/DI-2-FGSM | null | null | null | cs.CV cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Though CNNs have achieved the state-of-the-art performance on various vision
tasks, they are vulnerable to adversarial examples --- crafted by adding
human-imperceptible perturbations to clean images. However, most of the
existing adversarial attacks only achieve relatively low success rates under
the challenging bla... | [
{
"created": "Mon, 19 Mar 2018 15:07:51 GMT",
"version": "v1"
},
{
"created": "Mon, 11 Jun 2018 00:15:38 GMT",
"version": "v2"
},
{
"created": "Wed, 27 Mar 2019 02:29:17 GMT",
"version": "v3"
},
{
"created": "Sat, 1 Jun 2019 17:12:24 GMT",
"version": "v4"
}
] | 2019-06-04 | [
[
"Xie",
"Cihang",
""
],
[
"Zhang",
"Zhishuai",
""
],
[
"Zhou",
"Yuyin",
""
],
[
"Bai",
"Song",
""
],
[
"Wang",
"Jianyu",
""
],
[
"Ren",
"Zhou",
""
],
[
"Yuille",
"Alan",
""
]
] | Though CNNs have achieved the state-of-the-art performance on various vision tasks, they are vulnerable to adversarial examples --- crafted by adding human-imperceptible perturbations to clean images. However, most of the existing adversarial attacks only achieve relatively low success rates under the challenging black... |
2010.03106 | Ruoqi Shen | Yin Tat Lee, Ruoqi Shen, Kevin Tian | Structured Logconcave Sampling with a Restricted Gaussian Oracle | 58 pages. The results of Section 5 of this paper, as well as an
empirical evaluation, appeared earlier as arXiv:2006.05976. This version
fixes an error in the proof of Theorem 1, see Section 1.4 | null | null | null | cs.DS cs.LG math.OC stat.CO stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We give algorithms for sampling several structured logconcave families to
high accuracy. We further develop a reduction framework, inspired by proximal
point methods in convex optimization, which bootstraps samplers for regularized
densities to improve dependences on problem conditioning. A key ingredient in
our fram... | [
{
"created": "Wed, 7 Oct 2020 01:43:07 GMT",
"version": "v1"
},
{
"created": "Thu, 8 Oct 2020 20:17:48 GMT",
"version": "v2"
},
{
"created": "Mon, 9 Nov 2020 02:19:53 GMT",
"version": "v3"
},
{
"created": "Fri, 22 Oct 2021 06:25:01 GMT",
"version": "v4"
}
] | 2021-10-25 | [
[
"Lee",
"Yin Tat",
""
],
[
"Shen",
"Ruoqi",
""
],
[
"Tian",
"Kevin",
""
]
] | We give algorithms for sampling several structured logconcave families to high accuracy. We further develop a reduction framework, inspired by proximal point methods in convex optimization, which bootstraps samplers for regularized densities to improve dependences on problem conditioning. A key ingredient in our framew... |
1505.02377 | Renjie Liao | Renjie Liao, Jianping Shi, Ziyang Ma, Jun Zhu and Jiaya Jia | Bounded-Distortion Metric Learning | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Metric learning aims to embed one metric space into another to benefit tasks
like classification and clustering. Although a greatly distorted metric space
has a high degree of freedom to fit training data, it is prone to overfitting
and numerical inaccuracy. This paper presents {\it bounded-distortion metric
learning... | [
{
"created": "Sun, 10 May 2015 13:27:36 GMT",
"version": "v1"
}
] | 2015-05-12 | [
[
"Liao",
"Renjie",
""
],
[
"Shi",
"Jianping",
""
],
[
"Ma",
"Ziyang",
""
],
[
"Zhu",
"Jun",
""
],
[
"Jia",
"Jiaya",
""
]
] | Metric learning aims to embed one metric space into another to benefit tasks like classification and clustering. Although a greatly distorted metric space has a high degree of freedom to fit training data, it is prone to overfitting and numerical inaccuracy. This paper presents {\it bounded-distortion metric learning} ... |
1009.4524 | Monica | Monica and Ajay K Sharma (Dr B R Ambedkar National Institute of
Technology, India) | Comparative Investigation for Energy Consumption of Different Chipsets
Based on Scheduling for Wireless Sensor Networks | 17 pages, Based on scheduling for Wireless Sensor Networks | International Journal of Computer Networks & Communications
(IJCNC) Vol.2, No.5, September 2010 | 10.5121/ijcnc.2010.2511 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Rapid progress in microelectromechanical system (MEMS) and radio frequency
(RF) design has enabled the development of low-power, inexpensive, and
network-enabled microsensors. These sensor nodes are capable of capturing
various physical information, such as temperature, pressure, motion of an
object, etc as well as m... | [
{
"created": "Thu, 23 Sep 2010 06:12:22 GMT",
"version": "v1"
}
] | 2010-09-24 | [
[
"Monica",
"",
"",
"Dr B R Ambedkar National Institute of\n Technology, India"
],
[
"Sharma",
"Ajay K",
"",
"Dr B R Ambedkar National Institute of\n Technology, India"
]
] | Rapid progress in microelectromechanical system (MEMS) and radio frequency (RF) design has enabled the development of low-power, inexpensive, and network-enabled microsensors. These sensor nodes are capable of capturing various physical information, such as temperature, pressure, motion of an object, etc as well as map... |
2202.06083 | Tomoya Murata | Tomoya Murata and Taiji Suzuki | Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD
for Communication Efficient Nonconvex Distributed Learning | 50 pages | null | null | null | cs.LG cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent centralized nonconvex distributed learning and federated learning,
local methods are one of the promising approaches to reduce communication time.
However, existing work has mainly focused on studying first-order optimality
guarantees. On the other side, second-order optimality guaranteed algorithms,
i.e., ... | [
{
"created": "Sat, 12 Feb 2022 15:12:17 GMT",
"version": "v1"
},
{
"created": "Tue, 31 May 2022 08:49:31 GMT",
"version": "v2"
},
{
"created": "Wed, 12 Oct 2022 11:21:56 GMT",
"version": "v3"
}
] | 2022-10-13 | [
[
"Murata",
"Tomoya",
""
],
[
"Suzuki",
"Taiji",
""
]
] | In recent centralized nonconvex distributed learning and federated learning, local methods are one of the promising approaches to reduce communication time. However, existing work has mainly focused on studying first-order optimality guarantees. On the other side, second-order optimality guaranteed algorithms, i.e., al... |
2103.09605 | Luca Di Giammarino | Luca Di Giammarino, Irvin Aloise, Cyrill Stachniss and Giorgio
Grisetti | Visual Place Recognition using LiDAR Intensity Information | 7 pages, 6 figures | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Robots and autonomous systems need to know where they are within a map to
navigate effectively. Thus, simultaneous localization and mapping or SLAM is a
common building block of robot navigation systems. When building a map via a
SLAM system, robots need to re-recognize places to find loop closure and reduce
the odom... | [
{
"created": "Wed, 17 Mar 2021 12:44:30 GMT",
"version": "v1"
}
] | 2021-03-18 | [
[
"Di Giammarino",
"Luca",
""
],
[
"Aloise",
"Irvin",
""
],
[
"Stachniss",
"Cyrill",
""
],
[
"Grisetti",
"Giorgio",
""
]
] | Robots and autonomous systems need to know where they are within a map to navigate effectively. Thus, simultaneous localization and mapping or SLAM is a common building block of robot navigation systems. When building a map via a SLAM system, robots need to re-recognize places to find loop closure and reduce the odomet... |
1802.09348 | Dian Pratiwi | Risky Armansyah, Dian Pratiwi | Game of the Cursed Prince based on Android | 6 pages, 17 figures | International Journal of Computer Applications, Volume 179 -
Number 19, 2018 | 10.5120/ijca2018916333 | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Nowadays Games become an entertainment alternative for various circles,
industry and game development business is also a profitable industry. In
Indonesia the amount of game consumption is very high, especially the console
game type RPG (Role Playing Game). The task of this research is developing game
software using ... | [
{
"created": "Mon, 19 Feb 2018 14:24:52 GMT",
"version": "v1"
}
] | 2018-02-27 | [
[
"Armansyah",
"Risky",
""
],
[
"Pratiwi",
"Dian",
""
]
] | Nowadays Games become an entertainment alternative for various circles, industry and game development business is also a profitable industry. In Indonesia the amount of game consumption is very high, especially the console game type RPG (Role Playing Game). The task of this research is developing game software using Un... |
0904.0768 | Andrew Thangaraj | Srimathy Srinivasan, Andrew Thangaraj | Codes on Planar Graphs | several improvements in presentation; more figures for illustration | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Codes defined on graphs and their properties have been subjects of intense
recent research. On the practical side, constructions for capacity-approaching
codes are graphical. On the theoretical side, codes on graphs provide several
intriguing problems in the intersection of coding theory and graph theory. In
this pap... | [
{
"created": "Sun, 5 Apr 2009 12:43:37 GMT",
"version": "v1"
},
{
"created": "Fri, 15 May 2009 06:42:29 GMT",
"version": "v2"
}
] | 2009-05-15 | [
[
"Srinivasan",
"Srimathy",
""
],
[
"Thangaraj",
"Andrew",
""
]
] | Codes defined on graphs and their properties have been subjects of intense recent research. On the practical side, constructions for capacity-approaching codes are graphical. On the theoretical side, codes on graphs provide several intriguing problems in the intersection of coding theory and graph theory. In this paper... |
2008.02986 | Binh-Son Hua | Zhiyuan Zhang, Binh-Son Hua, Wei Chen, Yibin Tian, Sai-Kit Yeung | Global Context Aware Convolutions for 3D Point Cloud Understanding | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advances in deep learning for 3D point clouds have shown great
promises in scene understanding tasks thanks to the introduction of convolution
operators to consume 3D point clouds directly in a neural network. Point cloud
data, however, could have arbitrary rotations, especially those acquired from
3D scanning... | [
{
"created": "Fri, 7 Aug 2020 04:33:27 GMT",
"version": "v1"
}
] | 2020-08-10 | [
[
"Zhang",
"Zhiyuan",
""
],
[
"Hua",
"Binh-Son",
""
],
[
"Chen",
"Wei",
""
],
[
"Tian",
"Yibin",
""
],
[
"Yeung",
"Sai-Kit",
""
]
] | Recent advances in deep learning for 3D point clouds have shown great promises in scene understanding tasks thanks to the introduction of convolution operators to consume 3D point clouds directly in a neural network. Point cloud data, however, could have arbitrary rotations, especially those acquired from 3D scanning. ... |
1505.01606 | Harsh Thakkar | Harsh Thakkar, Ganesh Iyer, Prasenjit Majumder | A comparative study of approaches in user-centered health information
retrieval | 6 pages, 2 figures, 1 table | null | null | null | cs.IR | http://creativecommons.org/licenses/by-nc-sa/3.0/ | In this paper, we survey various user-centered or context-based biomedical
health information retrieval systems. We present and discuss the performance of
systems submitted in CLEF eHealth 2014 Task 3 for this purpose. We classify and
focus on comparing the two most prevalent retrieval models in biomedical
informatio... | [
{
"created": "Thu, 7 May 2015 07:32:33 GMT",
"version": "v1"
}
] | 2015-05-08 | [
[
"Thakkar",
"Harsh",
""
],
[
"Iyer",
"Ganesh",
""
],
[
"Majumder",
"Prasenjit",
""
]
] | In this paper, we survey various user-centered or context-based biomedical health information retrieval systems. We present and discuss the performance of systems submitted in CLEF eHealth 2014 Task 3 for this purpose. We classify and focus on comparing the two most prevalent retrieval models in biomedical information ... |
0802.1412 | Mahesh Pal Dr. | Mahesh Pal | Extreme Learning Machine for land cover classification | 6 pages, mapindia 2008 conference | null | 10.1080/01431160902788636 | null | cs.NE cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper explores the potential of extreme learning machine based
supervised classification algorithm for land cover classification. In
comparison to a backpropagation neural network, which requires setting of
several user-defined parameters and may produce local minima, extreme learning
machine require setting of ... | [
{
"created": "Mon, 11 Feb 2008 11:12:06 GMT",
"version": "v1"
}
] | 2019-07-02 | [
[
"Pal",
"Mahesh",
""
]
] | This paper explores the potential of extreme learning machine based supervised classification algorithm for land cover classification. In comparison to a backpropagation neural network, which requires setting of several user-defined parameters and may produce local minima, extreme learning machine require setting of on... |
1510.04411 | Harsh Taneja | Angela Xiao Wu, Harsh Taneja | Reimagining Internet Geographies: A User-Centric Ethnological Mapping of
the World Wide Web | Wu, Angela, Xiao & Taneja. H. (Forthcoming.) Reimagining Internet
Geographies: A User-Centric Ethnological Mapping of the World Wide Web.
Journal of Computer Mediated Communication. Both Authors Contributed Equally
to the Manuscript | null | 10.1111/jcc4.12157 | null | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a new user-centric imagery of the WWW that foregrounds local usage
and its shaping forces, in contrast to existing imageries that prioritize
Internet infrastructure. We construct ethnological maps of WWW usage through a
network analysis of shared global traffic between 1000 most popular websites at
three t... | [
{
"created": "Thu, 15 Oct 2015 06:13:56 GMT",
"version": "v1"
},
{
"created": "Sun, 15 Nov 2015 06:47:17 GMT",
"version": "v2"
}
] | 2016-03-11 | [
[
"Wu",
"Angela Xiao",
""
],
[
"Taneja",
"Harsh",
""
]
] | We propose a new user-centric imagery of the WWW that foregrounds local usage and its shaping forces, in contrast to existing imageries that prioritize Internet infrastructure. We construct ethnological maps of WWW usage through a network analysis of shared global traffic between 1000 most popular websites at three tim... |
2010.15908 | Shehtab Zaman | Shehtab Zaman, Christopher Owen, Kenneth Chiu, Michael Lawler | Graph Neural Network for Metal Organic Framework Potential Energy
Approximation | Accepted for presentation at the Machine Learning for Molecules
Workshop at NeurIPS 2020 | null | null | null | cs.LG cond-mat.mtrl-sci | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Metal-organic frameworks (MOFs) are nanoporous compounds composed of metal
ions and organic linkers. MOFs play an important role in industrial
applications such as gas separation, gas purification, and electrolytic
catalysis. Important MOF properties such as potential energy are currently
computed via techniques such... | [
{
"created": "Thu, 29 Oct 2020 19:47:44 GMT",
"version": "v1"
}
] | 2020-11-02 | [
[
"Zaman",
"Shehtab",
""
],
[
"Owen",
"Christopher",
""
],
[
"Chiu",
"Kenneth",
""
],
[
"Lawler",
"Michael",
""
]
] | Metal-organic frameworks (MOFs) are nanoporous compounds composed of metal ions and organic linkers. MOFs play an important role in industrial applications such as gas separation, gas purification, and electrolytic catalysis. Important MOF properties such as potential energy are currently computed via techniques such a... |
2402.09052 | Yutaro Yamada | Yutaro Yamada, Khyathi Chandu, Yuchen Lin, Jack Hessel, Ilker
Yildirim, Yejin Choi | L3GO: Language Agents with Chain-of-3D-Thoughts for Generating
Unconventional Objects | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Diffusion-based image generation models such as DALL-E 3 and Stable
Diffusion-XL demonstrate remarkable capabilities in generating images with
realistic and unique compositions. Yet, these models are not robust in
precisely reasoning about physical and spatial configurations of objects,
especially when instructed wit... | [
{
"created": "Wed, 14 Feb 2024 09:51:05 GMT",
"version": "v1"
}
] | 2024-02-15 | [
[
"Yamada",
"Yutaro",
""
],
[
"Chandu",
"Khyathi",
""
],
[
"Lin",
"Yuchen",
""
],
[
"Hessel",
"Jack",
""
],
[
"Yildirim",
"Ilker",
""
],
[
"Choi",
"Yejin",
""
]
] | Diffusion-based image generation models such as DALL-E 3 and Stable Diffusion-XL demonstrate remarkable capabilities in generating images with realistic and unique compositions. Yet, these models are not robust in precisely reasoning about physical and spatial configurations of objects, especially when instructed with ... |
1610.08250 | Kamal Nayan Reddy Challa | Kamal Nayan Reddy Challa, Venkata Sasank Pagolu, Ganapati Panda,
Babita Majhi | An Improved Approach for Prediction of Parkinson's Disease using Machine
Learning Techniques | Conference Paper | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Parkinson's disease (PD) is one of the major public health problems in the
world. It is a well-known fact that around one million people suffer from
Parkinson's disease in the United States whereas the number of people suffering
from Parkinson's disease worldwide is around 5 million. Thus, it is important
to predict ... | [
{
"created": "Wed, 26 Oct 2016 09:34:39 GMT",
"version": "v1"
}
] | 2016-10-27 | [
[
"Challa",
"Kamal Nayan Reddy",
""
],
[
"Pagolu",
"Venkata Sasank",
""
],
[
"Panda",
"Ganapati",
""
],
[
"Majhi",
"Babita",
""
]
] | Parkinson's disease (PD) is one of the major public health problems in the world. It is a well-known fact that around one million people suffer from Parkinson's disease in the United States whereas the number of people suffering from Parkinson's disease worldwide is around 5 million. Thus, it is important to predict Pa... |
2009.14572 | Sandro Lera | Delilah Donick and Sandro Claudio Lera | Uncovering Feature Interdependencies in High-Noise Environments with
Stepwise Lookahead Decision Forests | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Conventionally, random forests are built from "greedy" decision trees which
each consider only one split at a time during their construction. The
sub-optimality of greedy implementation has been well-known, yet mainstream
adoption of more sophisticated tree building algorithms has been lacking. We
examine under what ... | [
{
"created": "Wed, 30 Sep 2020 11:31:10 GMT",
"version": "v1"
},
{
"created": "Thu, 1 Oct 2020 01:54:54 GMT",
"version": "v2"
},
{
"created": "Mon, 5 Oct 2020 14:11:33 GMT",
"version": "v3"
},
{
"created": "Mon, 1 Feb 2021 04:21:00 GMT",
"version": "v4"
},
{
"crea... | 2021-04-01 | [
[
"Donick",
"Delilah",
""
],
[
"Lera",
"Sandro Claudio",
""
]
] | Conventionally, random forests are built from "greedy" decision trees which each consider only one split at a time during their construction. The sub-optimality of greedy implementation has been well-known, yet mainstream adoption of more sophisticated tree building algorithms has been lacking. We examine under what ci... |
2403.17103 | Remy Sabathier | Remy Sabathier, Niloy J. Mitra, David Novotny | Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | We present a method to build animatable dog avatars from monocular videos.
This is challenging as animals display a range of (unpredictable) non-rigid
movements and have a variety of appearance details (e.g., fur, spots, tails).
We develop an approach that links the video frames via a 4D solution that
jointly solves ... | [
{
"created": "Mon, 25 Mar 2024 18:41:43 GMT",
"version": "v1"
}
] | 2024-03-27 | [
[
"Sabathier",
"Remy",
""
],
[
"Mitra",
"Niloy J.",
""
],
[
"Novotny",
"David",
""
]
] | We present a method to build animatable dog avatars from monocular videos. This is challenging as animals display a range of (unpredictable) non-rigid movements and have a variety of appearance details (e.g., fur, spots, tails). We develop an approach that links the video frames via a 4D solution that jointly solves fo... |
1907.04028 | Bin Yang | Sean Bin Yang, Bin Yang | PathRank: A Multi-Task Learning Framework to Rank Paths in Spatial
Networks | null | null | null | null | cs.LG cs.DB stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern navigation services often provide multiple paths connecting the same
source and destination for users to select. Hence, ranking such paths becomes
increasingly important, which directly affects the service quality. We present
PathRank, a data-driven framework for ranking paths based on historical
trajectories ... | [
{
"created": "Tue, 9 Jul 2019 07:45:55 GMT",
"version": "v1"
}
] | 2019-07-10 | [
[
"Yang",
"Sean Bin",
""
],
[
"Yang",
"Bin",
""
]
] | Modern navigation services often provide multiple paths connecting the same source and destination for users to select. Hence, ranking such paths becomes increasingly important, which directly affects the service quality. We present PathRank, a data-driven framework for ranking paths based on historical trajectories us... |
1804.10367 | Araz Taeihagh | Hazel Si Min Lim and Araz Taeihagh | Autonomous Vehicles for Smart and Sustainable Cities: An In-Depth
Exploration of Privacy and Cybersecurity Implications | null | Energies 11, no. 5: 1062 (2018) | 10.3390/en11051062 | null | cs.CY cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Amidst rapid urban development, sustainable transportation solutions are
required to meet the increasing demands for mobility whilst mitigating the
potentially negative social, economic, and environmental impacts. This study
analyses autonomous vehicles (AVs) as a potential transportation solution for
smart and susta... | [
{
"created": "Fri, 27 Apr 2018 07:29:34 GMT",
"version": "v1"
}
] | 2018-04-30 | [
[
"Lim",
"Hazel Si Min",
""
],
[
"Taeihagh",
"Araz",
""
]
] | Amidst rapid urban development, sustainable transportation solutions are required to meet the increasing demands for mobility whilst mitigating the potentially negative social, economic, and environmental impacts. This study analyses autonomous vehicles (AVs) as a potential transportation solution for smart and sustain... |
1807.11329 | Yu Chen | Seyed Yahya Nikouei, Yu Chen, Alexander Aved, Erik Blasch | EIQIS: Toward an Event-Oriented Indexable and Queryable Intelligent
Surveillance System | null | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Edge computing provides the ability to link distributor users for multimedia
content, while retaining the power of significant data storage and access at a
centralized computer. Two requirements of significance include: what
information show be processed at the edge and how the content should be stored.
Answers to th... | [
{
"created": "Mon, 30 Jul 2018 13:04:57 GMT",
"version": "v1"
}
] | 2018-07-31 | [
[
"Nikouei",
"Seyed Yahya",
""
],
[
"Chen",
"Yu",
""
],
[
"Aved",
"Alexander",
""
],
[
"Blasch",
"Erik",
""
]
] | Edge computing provides the ability to link distributor users for multimedia content, while retaining the power of significant data storage and access at a centralized computer. Two requirements of significance include: what information show be processed at the edge and how the content should be stored. Answers to thes... |
1603.00845 | Xavier Gir\'o-i-Nieto | Junting Pan, Kevin McGuinness, Elisa Sayrol, Noel O'Connor and Xavier
Giro-i-Nieto | Shallow and Deep Convolutional Networks for Saliency Prediction | Preprint of the paper accepted at 2016 IEEE Conference on Computer
Vision and Pattern Recognition (CVPR). Source code and models available at
https://github.com/imatge-upc/saliency-2016-cvpr. Junting Pan and Kevin
McGuinness contributed equally to this work | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The prediction of salient areas in images has been traditionally addressed
with hand-crafted features based on neuroscience principles. This paper,
however, addresses the problem with a completely data-driven approach by
training a convolutional neural network (convnet). The learning process is
formulated as a minimi... | [
{
"created": "Wed, 2 Mar 2016 19:54:02 GMT",
"version": "v1"
}
] | 2016-03-03 | [
[
"Pan",
"Junting",
""
],
[
"McGuinness",
"Kevin",
""
],
[
"Sayrol",
"Elisa",
""
],
[
"O'Connor",
"Noel",
""
],
[
"Giro-i-Nieto",
"Xavier",
""
]
] | The prediction of salient areas in images has been traditionally addressed with hand-crafted features based on neuroscience principles. This paper, however, addresses the problem with a completely data-driven approach by training a convolutional neural network (convnet). The learning process is formulated as a minimiza... |
2007.10175 | Jordan J. Bird | Jordan J. Bird, Diego R. Faria, Cristiano Premebida, Anik\'o Ek\'art,
George Vogiatzis | Look and Listen: A Multi-modality Late Fusion Approach to Scene
Classification for Autonomous Machines | 6 pages, 10 figures, 3 tables | null | null | null | cs.CV cs.LG cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The novelty of this study consists in a multi-modality approach to scene
classification, where image and audio complement each other in a process of
deep late fusion. The approach is demonstrated on a difficult classification
problem, consisting of two synchronised and balanced datasets of 16,000 data
objects, encomp... | [
{
"created": "Sat, 11 Jul 2020 16:47:05 GMT",
"version": "v1"
}
] | 2020-07-21 | [
[
"Bird",
"Jordan J.",
""
],
[
"Faria",
"Diego R.",
""
],
[
"Premebida",
"Cristiano",
""
],
[
"Ekárt",
"Anikó",
""
],
[
"Vogiatzis",
"George",
""
]
] | The novelty of this study consists in a multi-modality approach to scene classification, where image and audio complement each other in a process of deep late fusion. The approach is demonstrated on a difficult classification problem, consisting of two synchronised and balanced datasets of 16,000 data objects, encompas... |
1412.5616 | Salvatore Talarico | Don Torrieri, Salvatore Talarico, and Matthew C. Valenti | Performance Analysis of Geographic Routing Protocols in Ad Hoc Networks | 6 pages, 7 figures, IEEE Military Commun. Conf. (MILCOM), 2014. arXiv
admin note: substantial text overlap with arXiv:1309.3582 | null | 10.1109/MILCOM.2014.183 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Geographic routing protocols greatly reduce the requirements of topology
storage and provide flexibility in the accommodation of the dynamic behavior of
ad hoc networks. This paper presents performance evaluations and comparisons of
two geographic routing protocols and the popular AODV protocol. The trade-offs
among ... | [
{
"created": "Mon, 8 Dec 2014 07:53:40 GMT",
"version": "v1"
}
] | 2014-12-19 | [
[
"Torrieri",
"Don",
""
],
[
"Talarico",
"Salvatore",
""
],
[
"Valenti",
"Matthew C.",
""
]
] | Geographic routing protocols greatly reduce the requirements of topology storage and provide flexibility in the accommodation of the dynamic behavior of ad hoc networks. This paper presents performance evaluations and comparisons of two geographic routing protocols and the popular AODV protocol. The trade-offs among th... |
2303.12524 | Luigi Capogrosso | Luigi Capogrosso, Federico Cunico, Michele Lora, Marco Cristani,
Franco Fummi, Davide Quaglia | Split-Et-Impera: A Framework for the Design of Distributed Deep Learning
Applications | 26th International Symposium on Design and Diagnostics of Electronic
Circuits and Systems (DDECS) | null | null | null | cs.DC cs.LG | http://creativecommons.org/licenses/by/4.0/ | Many recent pattern recognition applications rely on complex distributed
architectures in which sensing and computational nodes interact together
through a communication network. Deep neural networks (DNNs) play an important
role in this scenario, furnishing powerful decision mechanisms, at the price of
a high comput... | [
{
"created": "Wed, 22 Mar 2023 13:00:00 GMT",
"version": "v1"
}
] | 2023-03-23 | [
[
"Capogrosso",
"Luigi",
""
],
[
"Cunico",
"Federico",
""
],
[
"Lora",
"Michele",
""
],
[
"Cristani",
"Marco",
""
],
[
"Fummi",
"Franco",
""
],
[
"Quaglia",
"Davide",
""
]
] | Many recent pattern recognition applications rely on complex distributed architectures in which sensing and computational nodes interact together through a communication network. Deep neural networks (DNNs) play an important role in this scenario, furnishing powerful decision mechanisms, at the price of a high computat... |
2008.03640 | Feng Xia | Jie Hou, Hanxiao Pan, Teng Guo, Ivan Lee, Xiangjie Kong, Feng Xia | Prediction Methods and Applications in the Science of Science: A Survey | 17 pages, 6 figures | Computer Science Review, Volume 34, November 2019, 100197 | 10.1016/j.cosrev.2019.100197 | null | cs.SI cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Science of science has become a popular topic that attracts great attentions
from the research community. The development of data analytics technologies and
the readily available scholarly data enable the exploration of data-driven
prediction, which plays a pivotal role in finding the trend of scientific
impact. In t... | [
{
"created": "Sun, 9 Aug 2020 03:42:43 GMT",
"version": "v1"
}
] | 2020-08-11 | [
[
"Hou",
"Jie",
""
],
[
"Pan",
"Hanxiao",
""
],
[
"Guo",
"Teng",
""
],
[
"Lee",
"Ivan",
""
],
[
"Kong",
"Xiangjie",
""
],
[
"Xia",
"Feng",
""
]
] | Science of science has become a popular topic that attracts great attentions from the research community. The development of data analytics technologies and the readily available scholarly data enable the exploration of data-driven prediction, which plays a pivotal role in finding the trend of scientific impact. In thi... |
1804.00397 | Jaqueline De Oliveira J F Oliveira | Josemar Alves Caetano, Jaqueline Faria de Oliveira, Helder Seixas
Lima, Humberto T. Marques-Neto, Gabriel Magno, Wagner Meira Jr, Virg\'ilio A.
F. Almeida | Analyzing and characterizing political discussions in WhatsApp public
groups | 10 pages, 12 figures | null | null | null | cs.SI cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a thorough characterization of what we believe to be the first
significant analysis of the behavior of groups in WhatsApp in the scientific
literature. Our characterization of over 270,000 messages and about 7,000 users
spanning a 28-day period is done at three different layers. The message layer
focuses o... | [
{
"created": "Mon, 2 Apr 2018 05:10:36 GMT",
"version": "v1"
}
] | 2018-04-03 | [
[
"Caetano",
"Josemar Alves",
""
],
[
"de Oliveira",
"Jaqueline Faria",
""
],
[
"Lima",
"Helder Seixas",
""
],
[
"Marques-Neto",
"Humberto T.",
""
],
[
"Magno",
"Gabriel",
""
],
[
"Meira",
"Wagner",
"Jr"
],
[
"Almeid... | We present a thorough characterization of what we believe to be the first significant analysis of the behavior of groups in WhatsApp in the scientific literature. Our characterization of over 270,000 messages and about 7,000 users spanning a 28-day period is done at three different layers. The message layer focuses on ... |
1103.3319 | EPTCS | Andrea Asperti (University of Bologna), Enrico Tassi (Microsoft
Research - INRIA Joint Centre) | Superposition as a logical glue | In Proceedings TYPES 2009, arXiv:1103.3111 | EPTCS 53, 2011, pp. 1-15 | 10.4204/EPTCS.53.1 | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The typical mathematical language systematically exploits notational and
logical abuses whose resolution requires not just the knowledge of domain
specific notation and conventions, but not trivial skills in the given
mathematical discipline. A large part of this background knowledge is expressed
in form of equalitie... | [
{
"created": "Thu, 17 Mar 2011 00:19:29 GMT",
"version": "v1"
}
] | 2011-03-18 | [
[
"Asperti",
"Andrea",
"",
"University of Bologna"
],
[
"Tassi",
"Enrico",
"",
"Microsoft\n Research - INRIA Joint Centre"
]
] | The typical mathematical language systematically exploits notational and logical abuses whose resolution requires not just the knowledge of domain specific notation and conventions, but not trivial skills in the given mathematical discipline. A large part of this background knowledge is expressed in form of equalities ... |
2111.03263 | Chenghong Bian | Chenghong Bian, Mingyu Yang, Chin-Wei Hsu, Hun-Seok Kim | Deep Learning Based Near-Orthogonal Superposition Code for Short Message
Transmission | 6 pages, 7 figures | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Massive machine type communication (mMTC) has attracted new coding schemes
optimized for reliable short message transmission. In this paper, a novel deep
learning based near-orthogonal superposition (NOS) coding scheme is proposed
for reliable transmission of short messages in the additive white Gaussian
noise (AWGN)... | [
{
"created": "Fri, 5 Nov 2021 05:15:13 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Nov 2021 16:20:10 GMT",
"version": "v2"
}
] | 2021-11-12 | [
[
"Bian",
"Chenghong",
""
],
[
"Yang",
"Mingyu",
""
],
[
"Hsu",
"Chin-Wei",
""
],
[
"Kim",
"Hun-Seok",
""
]
] | Massive machine type communication (mMTC) has attracted new coding schemes optimized for reliable short message transmission. In this paper, a novel deep learning based near-orthogonal superposition (NOS) coding scheme is proposed for reliable transmission of short messages in the additive white Gaussian noise (AWGN) c... |
1603.08244 | Annina Bracher | Annina Bracher, Amos Lapidoth | Identification via the Broadcast Channel | 83 pages, a shorter version is published in the IEEE Transactions on
Information Theory | IEEE Trans. Inf. Theory, vol. 63, no. 6, pp. 3480-3501, Jun. 2017 | 10.1109/TIT.2017.2674669 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The identification (ID) capacity region of the two-receiver broadcast channel
(BC) is shown to be the set of rate-pairs for which, for some distribution on
the channel input, each receiver's ID rate does not exceed the mutual
information between the channel input and the channel output that it observes.
Moreover, the... | [
{
"created": "Sun, 27 Mar 2016 19:01:31 GMT",
"version": "v1"
},
{
"created": "Wed, 31 May 2017 20:49:01 GMT",
"version": "v2"
}
] | 2017-06-02 | [
[
"Bracher",
"Annina",
""
],
[
"Lapidoth",
"Amos",
""
]
] | The identification (ID) capacity region of the two-receiver broadcast channel (BC) is shown to be the set of rate-pairs for which, for some distribution on the channel input, each receiver's ID rate does not exceed the mutual information between the channel input and the channel output that it observes. Moreover, the c... |
2407.20194 | Maximum Wilder-Smith | Maximum Wilder-Smith, Vaishakh Patil, Marco Hutter | Radiance Fields for Robotic Teleoperation | 8 pages, 10 figures, Accepted to IROS 2024 | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | Radiance field methods such as Neural Radiance Fields (NeRFs) or 3D Gaussian
Splatting (3DGS), have revolutionized graphics and novel view synthesis. Their
ability to synthesize new viewpoints with photo-realistic quality, as well as
capture complex volumetric and specular scenes, makes them an ideal
visualization fo... | [
{
"created": "Mon, 29 Jul 2024 17:20:55 GMT",
"version": "v1"
}
] | 2024-07-30 | [
[
"Wilder-Smith",
"Maximum",
""
],
[
"Patil",
"Vaishakh",
""
],
[
"Hutter",
"Marco",
""
]
] | Radiance field methods such as Neural Radiance Fields (NeRFs) or 3D Gaussian Splatting (3DGS), have revolutionized graphics and novel view synthesis. Their ability to synthesize new viewpoints with photo-realistic quality, as well as capture complex volumetric and specular scenes, makes them an ideal visualization for ... |
1904.08078 | Seunghoon Lee | Jeremiah Blocki, Seunghoon Lee, Samson Zhou | Approximating Cumulative Pebbling Cost is Unique Games Hard | 28 pages, updated figures and corrected typos | null | null | null | cs.CC cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The cumulative pebbling complexity of a directed acyclic graph $G$ is defined
as $\mathsf{cc}(G) = \min_P \sum_i |P_i|$, where the minimum is taken over all
legal (parallel) black pebblings of $G$ and $|P_i|$ denotes the number of
pebbles on the graph during round $i$. Intuitively, $\mathsf{cc}(G)$ captures
the amort... | [
{
"created": "Wed, 17 Apr 2019 04:36:53 GMT",
"version": "v1"
},
{
"created": "Wed, 28 Aug 2019 21:52:46 GMT",
"version": "v2"
},
{
"created": "Fri, 15 Nov 2019 23:06:04 GMT",
"version": "v3"
}
] | 2019-11-19 | [
[
"Blocki",
"Jeremiah",
""
],
[
"Lee",
"Seunghoon",
""
],
[
"Zhou",
"Samson",
""
]
] | The cumulative pebbling complexity of a directed acyclic graph $G$ is defined as $\mathsf{cc}(G) = \min_P \sum_i |P_i|$, where the minimum is taken over all legal (parallel) black pebblings of $G$ and $|P_i|$ denotes the number of pebbles on the graph during round $i$. Intuitively, $\mathsf{cc}(G)$ captures the amortiz... |
2407.12623 | Andrew Jeffery | Andrew Jeffery, Julien Maffre, Heidi Howard, Richard Mortier | LSKV: A Confidential Distributed Datastore to Protect Critical Data in
the Cloud | null | null | null | null | cs.DC | http://creativecommons.org/licenses/by/4.0/ | Software services are increasingly migrating to the cloud, requiring trust in
actors with direct access to the hardware, software and data comprising the
service. A distributed datastore storing critical data sits at the core of many
services; a prime example being etcd in Kubernetes. Trusted execution
environments c... | [
{
"created": "Wed, 17 Jul 2024 14:50:24 GMT",
"version": "v1"
}
] | 2024-07-18 | [
[
"Jeffery",
"Andrew",
""
],
[
"Maffre",
"Julien",
""
],
[
"Howard",
"Heidi",
""
],
[
"Mortier",
"Richard",
""
]
] | Software services are increasingly migrating to the cloud, requiring trust in actors with direct access to the hardware, software and data comprising the service. A distributed datastore storing critical data sits at the core of many services; a prime example being etcd in Kubernetes. Trusted execution environments can... |
2112.10969 | Fanqing Lin | Fanqing Lin, Brian Price, Tony Martinez | Generalizing Interactive Backpropagating Refinement for Dense Prediction | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As deep neural networks become the state-of-the-art approach in the field of
computer vision for dense prediction tasks, many methods have been developed
for automatic estimation of the target outputs given the visual inputs.
Although the estimation accuracy of the proposed automatic methods continues to
improve, int... | [
{
"created": "Tue, 21 Dec 2021 03:52:08 GMT",
"version": "v1"
},
{
"created": "Wed, 22 Dec 2021 11:07:46 GMT",
"version": "v2"
}
] | 2021-12-23 | [
[
"Lin",
"Fanqing",
""
],
[
"Price",
"Brian",
""
],
[
"Martinez",
"Tony",
""
]
] | As deep neural networks become the state-of-the-art approach in the field of computer vision for dense prediction tasks, many methods have been developed for automatic estimation of the target outputs given the visual inputs. Although the estimation accuracy of the proposed automatic methods continues to improve, inter... |
2406.12553 | Michael Dorner | Michael Dorner and Daniel Mendez and Ehsan Zabardast and Nicole Valdez
and Marcin Floryan | Measuring Information Diffusion in Code Review at Spotify | null | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Background: As a core practice in software engineering, the nature of code
review has been frequently subject to research. Prior exploratory studies found
that code review, the discussion around a code change among humans, forms a
communication network that enables its participants to exchange and spread
information.... | [
{
"created": "Tue, 18 Jun 2024 12:29:09 GMT",
"version": "v1"
}
] | 2024-06-19 | [
[
"Dorner",
"Michael",
""
],
[
"Mendez",
"Daniel",
""
],
[
"Zabardast",
"Ehsan",
""
],
[
"Valdez",
"Nicole",
""
],
[
"Floryan",
"Marcin",
""
]
] | Background: As a core practice in software engineering, the nature of code review has been frequently subject to research. Prior exploratory studies found that code review, the discussion around a code change among humans, forms a communication network that enables its participants to exchange and spread information. A... |
2310.12558 | Chenglei Si | Chenglei Si, Navita Goyal, Sherry Tongshuang Wu, Chen Zhao, Shi Feng,
Hal Daum\'e III, Jordan Boyd-Graber | Large Language Models Help Humans Verify Truthfulness -- Except When
They Are Convincingly Wrong | NAACL 2024 | null | null | null | cs.CL cs.HC | http://creativecommons.org/licenses/by/4.0/ | Large Language Models (LLMs) are increasingly used for accessing information
on the web. Their truthfulness and factuality are thus of great interest. To
help users make the right decisions about the information they get, LLMs should
not only provide information but also help users fact-check it. Our experiments
with... | [
{
"created": "Thu, 19 Oct 2023 08:09:58 GMT",
"version": "v1"
},
{
"created": "Mon, 1 Apr 2024 21:55:06 GMT",
"version": "v2"
}
] | 2024-04-03 | [
[
"Si",
"Chenglei",
""
],
[
"Goyal",
"Navita",
""
],
[
"Wu",
"Sherry Tongshuang",
""
],
[
"Zhao",
"Chen",
""
],
[
"Feng",
"Shi",
""
],
[
"Daumé",
"Hal",
"III"
],
[
"Boyd-Graber",
"Jordan",
""
]
] | Large Language Models (LLMs) are increasingly used for accessing information on the web. Their truthfulness and factuality are thus of great interest. To help users make the right decisions about the information they get, LLMs should not only provide information but also help users fact-check it. Our experiments with 8... |
1403.1381 | Daniel Zaragoza | Daniel Zaragoza | The TCP-modified Engset Model Revisited | arXiv admin note: substantial text overlap with arXiv:1401.8173 | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We revisit the TCP-modified Engset model proposed by Heyman et al. in [1].
The model deals with the superposition of a limited number of TCP connections
alternating between file transmission and silence in a web-like fashion. We
consider homogeneous sources only. (a) We take into account the effects of slow
start and... | [
{
"created": "Thu, 6 Mar 2014 09:27:47 GMT",
"version": "v1"
}
] | 2014-03-07 | [
[
"Zaragoza",
"Daniel",
""
]
] | We revisit the TCP-modified Engset model proposed by Heyman et al. in [1]. The model deals with the superposition of a limited number of TCP connections alternating between file transmission and silence in a web-like fashion. We consider homogeneous sources only. (a) We take into account the effects of slow start and l... |
2309.14868 | Yang Zhao | Yuan Chen, Zhiliang Ma and Yang Zhao | Cross-Dataset-Robust Method for Blind Real-World Image Quality
Assessment | 10 pages, 6 figures | null | null | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Although many effective models and real-world datasets have been presented
for blind image quality assessment (BIQA), recent BIQA models usually tend to
fit specific training set. Hence, it is still difficult to accurately and
robustly measure the visual quality of an arbitrary real-world image. In this
paper, a robu... | [
{
"created": "Tue, 26 Sep 2023 11:57:12 GMT",
"version": "v1"
}
] | 2023-09-27 | [
[
"Chen",
"Yuan",
""
],
[
"Ma",
"Zhiliang",
""
],
[
"Zhao",
"Yang",
""
]
] | Although many effective models and real-world datasets have been presented for blind image quality assessment (BIQA), recent BIQA models usually tend to fit specific training set. Hence, it is still difficult to accurately and robustly measure the visual quality of an arbitrary real-world image. In this paper, a robust... |
2009.14015 | W. Spencer Smith Dr. | Spencer Smith and Jacques Carette | Long-term Productivity for Long-term Impact | 9 pages, Collegeville Workshop on Scientific Software Whitepaper,
2020 | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a new conceptual definition of 'productivity' for sustainably
developing research software. Existing definitions are flawed as they are
short-term biased, thus devaluing long-term impact, which we consider to be the
principal goal. Taking a long-term view of productivity helps fix that problem.
We view the... | [
{
"created": "Tue, 29 Sep 2020 13:48:44 GMT",
"version": "v1"
}
] | 2020-09-30 | [
[
"Smith",
"Spencer",
""
],
[
"Carette",
"Jacques",
""
]
] | We present a new conceptual definition of 'productivity' for sustainably developing research software. Existing definitions are flawed as they are short-term biased, thus devaluing long-term impact, which we consider to be the principal goal. Taking a long-term view of productivity helps fix that problem. We view the o... |
1711.06976 | Lex Fridman | Lex Fridman, Daniel E. Brown, Michael Glazer, William Angell, Spencer
Dodd, Benedikt Jenik, Jack Terwilliger, Aleksandr Patsekin, Julia
Kindelsberger, Li Ding, Sean Seaman, Alea Mehler, Andrew Sipperley, Anthony
Pettinato, Bobbie Seppelt, Linda Angell, Bruce Mehler, Bryan Reimer | MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving
Study of Driver Behavior and Interaction with Automation | null | IEEE Access, vol. 7, pp. 102021-102038, 2019 | 10.1109/ACCESS.2019.2926040 | null | cs.CY cs.CV cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | For the foreseeble future, human beings will likely remain an integral part
of the driving task, monitoring the AI system as it performs anywhere from just
over 0% to just under 100% of the driving. The governing objectives of the MIT
Autonomous Vehicle Technology (MIT-AVT) study are to (1) undertake large-scale
real... | [
{
"created": "Sun, 19 Nov 2017 06:46:21 GMT",
"version": "v1"
},
{
"created": "Sun, 30 Sep 2018 04:02:20 GMT",
"version": "v2"
},
{
"created": "Mon, 15 Apr 2019 01:13:57 GMT",
"version": "v3"
},
{
"created": "Wed, 14 Aug 2019 11:17:00 GMT",
"version": "v4"
}
] | 2019-08-15 | [
[
"Fridman",
"Lex",
""
],
[
"Brown",
"Daniel E.",
""
],
[
"Glazer",
"Michael",
""
],
[
"Angell",
"William",
""
],
[
"Dodd",
"Spencer",
""
],
[
"Jenik",
"Benedikt",
""
],
[
"Terwilliger",
"Jack",
""
],
[
... | For the foreseeble future, human beings will likely remain an integral part of the driving task, monitoring the AI system as it performs anywhere from just over 0% to just under 100% of the driving. The governing objectives of the MIT Autonomous Vehicle Technology (MIT-AVT) study are to (1) undertake large-scale real-w... |
2112.12411 | Aur\'elien Bellet | Riad Ladjel, Nicolas Anciaux, Aur\'elien Bellet, Guillaume Scerri | Mitigating Leakage from Data Dependent Communications in Decentralized
Computing using Differential Privacy | null | null | null | null | cs.CR cs.DB cs.DC cs.LG | http://creativecommons.org/licenses/by/4.0/ | Imagine a group of citizens willing to collectively contribute their personal
data for the common good to produce socially useful information, resulting from
data analytics or machine learning computations. Sharing raw personal data with
a centralized server performing the computation could raise concerns about
priva... | [
{
"created": "Thu, 23 Dec 2021 08:30:17 GMT",
"version": "v1"
}
] | 2021-12-24 | [
[
"Ladjel",
"Riad",
""
],
[
"Anciaux",
"Nicolas",
""
],
[
"Bellet",
"Aurélien",
""
],
[
"Scerri",
"Guillaume",
""
]
] | Imagine a group of citizens willing to collectively contribute their personal data for the common good to produce socially useful information, resulting from data analytics or machine learning computations. Sharing raw personal data with a centralized server performing the computation could raise concerns about privacy... |
2303.00815 | Jingli Shi | Jingli Shi, Weihua Li, Quan Bai, Yi Yang, Jianhua Jiang | Soft Prompt Guided Joint Learning for Cross-Domain Sentiment Analysis | 22 pages | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Aspect term extraction is a fundamental task in fine-grained sentiment
analysis, which aims at detecting customer's opinion targets from reviews on
product or service. The traditional supervised models can achieve promising
results with annotated datasets, however, the performance dramatically
decreases when they are... | [
{
"created": "Wed, 1 Mar 2023 20:33:37 GMT",
"version": "v1"
}
] | 2023-03-03 | [
[
"Shi",
"Jingli",
""
],
[
"Li",
"Weihua",
""
],
[
"Bai",
"Quan",
""
],
[
"Yang",
"Yi",
""
],
[
"Jiang",
"Jianhua",
""
]
] | Aspect term extraction is a fundamental task in fine-grained sentiment analysis, which aims at detecting customer's opinion targets from reviews on product or service. The traditional supervised models can achieve promising results with annotated datasets, however, the performance dramatically decreases when they are a... |
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