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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1901.06922 | Fabrizio Caruso | Stefano Bodrato, Fabrizio Caruso, Giovanni A. Cignoni | Discovering Eastern European PCs by hacking them. Today | null | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Computer science would not be the same without personal computers. In the
West the so called PC revolution started in the late '70s and has its roots in
hobbyists and do-it-yourself clubs. In the following years the diffusion of
home and personal computers has made the discipline closer to many people. A
bit later, t... | [
{
"created": "Mon, 21 Jan 2019 13:19:49 GMT",
"version": "v1"
}
] | 2019-01-23 | [
[
"Bodrato",
"Stefano",
""
],
[
"Caruso",
"Fabrizio",
""
],
[
"Cignoni",
"Giovanni A.",
""
]
] | Computer science would not be the same without personal computers. In the West the so called PC revolution started in the late '70s and has its roots in hobbyists and do-it-yourself clubs. In the following years the diffusion of home and personal computers has made the discipline closer to many people. A bit later, to ... |
2009.03687 | Yasuaki Kobayashi | Tesshu Hanaka, Yasuaki Kobayashi, Kazuhiro Kurita, Yota Otachi | Finding Diverse Trees, Paths, and More | 15 pages | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Mathematical modeling is a standard approach to solve many real-world
problems and {\em diversity} of solutions is an important issue, emerging in
applying solutions obtained from mathematical models to real-world problems.
Many studies have been devoted to finding diverse solutions. Baste et al.
(Algorithms 2019, IJ... | [
{
"created": "Tue, 8 Sep 2020 12:32:05 GMT",
"version": "v1"
},
{
"created": "Mon, 14 Dec 2020 03:33:51 GMT",
"version": "v2"
}
] | 2020-12-15 | [
[
"Hanaka",
"Tesshu",
""
],
[
"Kobayashi",
"Yasuaki",
""
],
[
"Kurita",
"Kazuhiro",
""
],
[
"Otachi",
"Yota",
""
]
] | Mathematical modeling is a standard approach to solve many real-world problems and {\em diversity} of solutions is an important issue, emerging in applying solutions obtained from mathematical models to real-world problems. Many studies have been devoted to finding diverse solutions. Baste et al. (Algorithms 2019, IJCA... |
cs/9903018 | Carlos Cassino | Carlos Cassino, Roberto Ierusalimschy, and Noemi Rodriguez | LuaJava - A Scripting Tool for Java | 10 pages, LaTeX, 1 figure. Available at
http://www.tecgraf.puc-rio.br/~cassino/luajava | null | null | PUC-RioInf.MCC02/99 | cs.SE | null | Scripting languages are becoming more and more important as a tool for
software development, as they provide great flexibility for rapid prototyping
and for configuring componentware applications. In this paper we present
LuaJava, a scripting tool for Java. LuaJava adopts Lua, a dynamically typed
interpreted language... | [
{
"created": "Tue, 30 Mar 1999 11:28:44 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Cassino",
"Carlos",
""
],
[
"Ierusalimschy",
"Roberto",
""
],
[
"Rodriguez",
"Noemi",
""
]
] | Scripting languages are becoming more and more important as a tool for software development, as they provide great flexibility for rapid prototyping and for configuring componentware applications. In this paper we present LuaJava, a scripting tool for Java. LuaJava adopts Lua, a dynamically typed interpreted language, ... |
2103.09340 | Zadia Codabux | Zadia Codabux, Melina Vidoni, Fatemeh H. Fard | Technical Debt in the Peer-Review Documentation of R Packages: a
rOpenSci Case Study | null | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Context: Technical Debt is a metaphor used to describe code that is "not
quite right." Although TD studies have gained momentum, TD has yet to be
studied as thoroughly in non-Object-Oriented (OO) or scientific software such
as R. R is a multi-paradigm programming language, whose popularity in data
science and statist... | [
{
"created": "Tue, 16 Mar 2021 21:47:24 GMT",
"version": "v1"
}
] | 2021-03-18 | [
[
"Codabux",
"Zadia",
""
],
[
"Vidoni",
"Melina",
""
],
[
"Fard",
"Fatemeh H.",
""
]
] | Context: Technical Debt is a metaphor used to describe code that is "not quite right." Although TD studies have gained momentum, TD has yet to be studied as thoroughly in non-Object-Oriented (OO) or scientific software such as R. R is a multi-paradigm programming language, whose popularity in data science and statistic... |
2109.08627 | Shuo Sun | Shuo Sun, Ahmed El-Kishky, Vishrav Chaudhary, James Cross, Francisco
Guzm\'an, Lucia Specia | Classification-based Quality Estimation: Small and Efficient Models for
Real-world Applications | EMNLP 2021 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Sentence-level Quality estimation (QE) of machine translation is
traditionally formulated as a regression task, and the performance of QE models
is typically measured by Pearson correlation with human labels. Recent QE
models have achieved previously-unseen levels of correlation with human
judgments, but they rely on... | [
{
"created": "Fri, 17 Sep 2021 16:14:52 GMT",
"version": "v1"
}
] | 2021-09-20 | [
[
"Sun",
"Shuo",
""
],
[
"El-Kishky",
"Ahmed",
""
],
[
"Chaudhary",
"Vishrav",
""
],
[
"Cross",
"James",
""
],
[
"Guzmán",
"Francisco",
""
],
[
"Specia",
"Lucia",
""
]
] | Sentence-level Quality estimation (QE) of machine translation is traditionally formulated as a regression task, and the performance of QE models is typically measured by Pearson correlation with human labels. Recent QE models have achieved previously-unseen levels of correlation with human judgments, but they rely on l... |
2403.12861 | Jun Yamada | Jun Yamada, Shaohong Zhong, Jack Collins, Ingmar Posner | D-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous
Deformable Manipulation | https://applied-ai-lab.github.io/D-cubed/ | null | null | null | cs.RO cs.LG | http://creativecommons.org/licenses/by/4.0/ | Mastering dexterous robotic manipulation of deformable objects is vital for
overcoming the limitations of parallel grippers in real-world applications.
Current trajectory optimisation approaches often struggle to solve such tasks
due to the large search space and the limited task information available from a
cost fun... | [
{
"created": "Tue, 19 Mar 2024 16:05:51 GMT",
"version": "v1"
}
] | 2024-03-20 | [
[
"Yamada",
"Jun",
""
],
[
"Zhong",
"Shaohong",
""
],
[
"Collins",
"Jack",
""
],
[
"Posner",
"Ingmar",
""
]
] | Mastering dexterous robotic manipulation of deformable objects is vital for overcoming the limitations of parallel grippers in real-world applications. Current trajectory optimisation approaches often struggle to solve such tasks due to the large search space and the limited task information available from a cost funct... |
0804.1894 | Marcello Caleffi | Marcello Caleffi, Giancarlo Ferraiuolo, Luigi Paura | A Reliability-based Framework for Multi-path Routing Analysis in Mobile
Ad-Hoc Networks | To appear on IJCNDS: International Journal of Communication Networks
and Distributed Systems | International Journal of Communication Networks and Distributed
Systems, Vol.1 No.4/5/6, 2008 | 10.1504/IJCNDS.2008.021079 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Unlike traditional routing procedures that, at the best, single out a unique
route, multi-path routing protocols discover proactively several alternative
routes. It has been recognized that multi-path routing can be more efficient
than traditional one mainly for mobile ad hoc networks, where route failure
events are ... | [
{
"created": "Fri, 11 Apr 2008 13:37:49 GMT",
"version": "v1"
}
] | 2020-05-12 | [
[
"Caleffi",
"Marcello",
""
],
[
"Ferraiuolo",
"Giancarlo",
""
],
[
"Paura",
"Luigi",
""
]
] | Unlike traditional routing procedures that, at the best, single out a unique route, multi-path routing protocols discover proactively several alternative routes. It has been recognized that multi-path routing can be more efficient than traditional one mainly for mobile ad hoc networks, where route failure events are fr... |
2003.03207 | William Seymour | William Seymour and Max Van Kleek | Does Siri Have a Soul? Exploring Voice Assistants Through Shinto Design
Fictions | 11 pages, 2 images. To appear in the Extended Abstracts of the 2020
CHI Conference on Human Factors in Computing Systems (CHI '20) | null | 10.1145/3334480.3381809 | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | It can be difficult to critically reflect on technology that has become part
of everyday rituals and routines. To combat this, speculative and fictional
approaches have previously been used by HCI to decontextualise the familiar and
imagine alternatives. In this work we turn to Japanese Shinto narratives as a
way to ... | [
{
"created": "Fri, 6 Mar 2020 13:54:08 GMT",
"version": "v1"
}
] | 2020-03-09 | [
[
"Seymour",
"William",
""
],
[
"Van Kleek",
"Max",
""
]
] | It can be difficult to critically reflect on technology that has become part of everyday rituals and routines. To combat this, speculative and fictional approaches have previously been used by HCI to decontextualise the familiar and imagine alternatives. In this work we turn to Japanese Shinto narratives as a way to de... |
2405.03372 | Xiaoxue Yu | Xiaoxue Yu, Xingfu Yi, Rongpeng Li, Fei Wang, Chenghui Peng, Zhifeng
Zhao and Honggang Zhang | Snake Learning: A Communication- and Computation-Efficient Distributed
Learning Framework for 6G | 7 pages, 6 figures | null | null | null | cs.NI cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the evolution towards 6G, integrating Artificial Intelligence (AI) with
advanced network infrastructure emerges as a pivotal strategy for enhancing
network intelligence and resource utilization. Existing distributed learning
frameworks like Federated Learning and Split Learning often struggle with
significant chal... | [
{
"created": "Mon, 6 May 2024 11:25:59 GMT",
"version": "v1"
}
] | 2024-05-07 | [
[
"Yu",
"Xiaoxue",
""
],
[
"Yi",
"Xingfu",
""
],
[
"Li",
"Rongpeng",
""
],
[
"Wang",
"Fei",
""
],
[
"Peng",
"Chenghui",
""
],
[
"Zhao",
"Zhifeng",
""
],
[
"Zhang",
"Honggang",
""
]
] | In the evolution towards 6G, integrating Artificial Intelligence (AI) with advanced network infrastructure emerges as a pivotal strategy for enhancing network intelligence and resource utilization. Existing distributed learning frameworks like Federated Learning and Split Learning often struggle with significant challe... |
2104.06687 | Yawei Wang | Yawei Wang and Xiu Li | Reward function shape exploration in adversarial imitation learning: an
empirical study | Accepted by ICAICA2021, the code will be available soon | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | For adversarial imitation learning algorithms (AILs), no true rewards are
obtained from the environment for learning the strategy. However, the pseudo
rewards based on the output of the discriminator are still required. Given the
implicit reward bias problem in AILs, we design several representative reward
function s... | [
{
"created": "Wed, 14 Apr 2021 08:21:49 GMT",
"version": "v1"
}
] | 2021-04-15 | [
[
"Wang",
"Yawei",
""
],
[
"Li",
"Xiu",
""
]
] | For adversarial imitation learning algorithms (AILs), no true rewards are obtained from the environment for learning the strategy. However, the pseudo rewards based on the output of the discriminator are still required. Given the implicit reward bias problem in AILs, we design several representative reward function sha... |
2109.07591 | Dan Iter | Dan Iter and David Grangier | On the Complementarity of Data Selection and Fine Tuning for Domain
Adaptation | null | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | Domain adaptation of neural networks commonly relies on three training
phases: pretraining, selected data training and then fine tuning. Data
selection improves target domain generalization by training further on
pretraining data identified by relying on a small sample of target domain data.
This work examines the be... | [
{
"created": "Wed, 15 Sep 2021 21:49:06 GMT",
"version": "v1"
}
] | 2021-09-17 | [
[
"Iter",
"Dan",
""
],
[
"Grangier",
"David",
""
]
] | Domain adaptation of neural networks commonly relies on three training phases: pretraining, selected data training and then fine tuning. Data selection improves target domain generalization by training further on pretraining data identified by relying on a small sample of target domain data. This work examines the bene... |
1805.11698 | Jinwen Shi | Jinwen Shi, Cong Ling, Osvaldo Simeone, J\"org Kliewer | Coded Computation Against Distributed Straggling Channel Decoders in the
Cloud for Gaussian Uplink Channels | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The uplink of a Cloud Radio Access Network (CRAN) architecture is studied,
where decoding at the cloud takes place at distributed decoding processors. To
mitigate the impact of straggling decoders in the cloud, the cloud re-encodes
the received frames via a linear code before distributing them to the decoding
process... | [
{
"created": "Tue, 29 May 2018 20:26:54 GMT",
"version": "v1"
},
{
"created": "Fri, 1 Jun 2018 10:54:06 GMT",
"version": "v2"
},
{
"created": "Thu, 12 Jul 2018 17:27:41 GMT",
"version": "v3"
}
] | 2018-07-13 | [
[
"Shi",
"Jinwen",
""
],
[
"Ling",
"Cong",
""
],
[
"Simeone",
"Osvaldo",
""
],
[
"Kliewer",
"Jörg",
""
]
] | The uplink of a Cloud Radio Access Network (CRAN) architecture is studied, where decoding at the cloud takes place at distributed decoding processors. To mitigate the impact of straggling decoders in the cloud, the cloud re-encodes the received frames via a linear code before distributing them to the decoding processor... |
2002.07048 | Saeed Ranjbar Alvar | Saeed Ranjbar Alvar and Ivan V. Baji\'c | Bit Allocation for Multi-Task Collaborative Intelligence | Accepted for publication ICASSP'20 | null | null | null | cs.LG cs.MM eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent studies have shown that collaborative intelligence (CI) is a promising
framework for deployment of Artificial Intelligence (AI)-based services on
mobile devices. In CI, a deep neural network is split between the mobile device
and the cloud. Deep features obtained at the mobile are compressed and
transferred to... | [
{
"created": "Fri, 14 Feb 2020 02:02:39 GMT",
"version": "v1"
}
] | 2020-02-18 | [
[
"Alvar",
"Saeed Ranjbar",
""
],
[
"Bajić",
"Ivan V.",
""
]
] | Recent studies have shown that collaborative intelligence (CI) is a promising framework for deployment of Artificial Intelligence (AI)-based services on mobile devices. In CI, a deep neural network is split between the mobile device and the cloud. Deep features obtained at the mobile are compressed and transferred to t... |
1401.7463 | Pierre Flener | Pierre Flener and Justin Pearson | Propagators and Violation Functions for Geometric and Workload
Constraints Arising in Airspace Sectorisation | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Airspace sectorisation provides a partition of a given airspace into sectors,
subject to geometric constraints and workload constraints, so that some cost
metric is minimised. We make a study of the constraints that arise in airspace
sectorisation. For each constraint, we give an analysis of what algorithms and
prope... | [
{
"created": "Wed, 29 Jan 2014 10:36:39 GMT",
"version": "v1"
}
] | 2014-01-30 | [
[
"Flener",
"Pierre",
""
],
[
"Pearson",
"Justin",
""
]
] | Airspace sectorisation provides a partition of a given airspace into sectors, subject to geometric constraints and workload constraints, so that some cost metric is minimised. We make a study of the constraints that arise in airspace sectorisation. For each constraint, we give an analysis of what algorithms and propert... |
2308.10806 | Zixuan Liu | Zixuan Liu, Liu Liu, Xueqian Wang, Peilin Zhao | DFWLayer: Differentiable Frank-Wolfe Optimization Layer | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Differentiable optimization has received a significant amount of attention
due to its foundational role in the domain of machine learning based on neural
networks. This paper proposes a differentiable layer, named Differentiable
Frank-Wolfe Layer (DFWLayer), by rolling out the Frank-Wolfe method, a
well-known optimiz... | [
{
"created": "Mon, 21 Aug 2023 15:53:38 GMT",
"version": "v1"
},
{
"created": "Fri, 29 Mar 2024 06:15:41 GMT",
"version": "v2"
}
] | 2024-04-01 | [
[
"Liu",
"Zixuan",
""
],
[
"Liu",
"Liu",
""
],
[
"Wang",
"Xueqian",
""
],
[
"Zhao",
"Peilin",
""
]
] | Differentiable optimization has received a significant amount of attention due to its foundational role in the domain of machine learning based on neural networks. This paper proposes a differentiable layer, named Differentiable Frank-Wolfe Layer (DFWLayer), by rolling out the Frank-Wolfe method, a well-known optimizat... |
1706.04870 | Ashraf Darwish | Ayat Taha, Ashraf Darwish, and Aboul Ella Hassanien | Arabian Horse Identification Benchmark Dataset | null | null | null | null | cs.CV | http://creativecommons.org/publicdomain/zero/1.0/ | The lack of a standard muzzle print database is a challenge for conducting
researches in Arabian horse identification systems. Therefore, collecting a
muzzle print images database is a crucial decision. The dataset presented in
this paper is an option for the studies that need a dataset for testing and
comparing the ... | [
{
"created": "Thu, 15 Jun 2017 13:58:02 GMT",
"version": "v1"
}
] | 2017-06-16 | [
[
"Taha",
"Ayat",
""
],
[
"Darwish",
"Ashraf",
""
],
[
"Hassanien",
"Aboul Ella",
""
]
] | The lack of a standard muzzle print database is a challenge for conducting researches in Arabian horse identification systems. Therefore, collecting a muzzle print images database is a crucial decision. The dataset presented in this paper is an option for the studies that need a dataset for testing and comparing the al... |
1006.4484 | Jesus Martinez-Mateo | Jesus Martinez-Mateo, David Elkouss, Vicente Martin | Interactive Reconciliation with Low-Density Parity-Check Codes | null | null | 10.1109/ISTC.2010.5613856 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Efficient information reconciliation is crucial in several scenarios, being
quantum key distribution a remarkable example. However, efficiency is not the
only requirement for determining the quality of the information reconciliation
process. In some of these scenarios we find other relevant parameters such as
the int... | [
{
"created": "Wed, 23 Jun 2010 11:48:58 GMT",
"version": "v1"
}
] | 2011-04-01 | [
[
"Martinez-Mateo",
"Jesus",
""
],
[
"Elkouss",
"David",
""
],
[
"Martin",
"Vicente",
""
]
] | Efficient information reconciliation is crucial in several scenarios, being quantum key distribution a remarkable example. However, efficiency is not the only requirement for determining the quality of the information reconciliation process. In some of these scenarios we find other relevant parameters such as the inter... |
2309.03642 | Jaemin Choi | Jaemin Choi | Formal Verification of Chase-Lev Deque in Concurrent Separation Logic | Master's thesis not yet defended | null | null | null | cs.LO cs.PL | http://creativecommons.org/licenses/by/4.0/ | Chase-Lev deque is a concurrent data structure designed for efficient load
balancing in multiprocessor scheduling. It employs a work-stealing strategy,
where each thread possesses its own work-stealing deque to store tasks, and
idle threads steal tasks from other threads. However, given the inherent risk
of bugs in s... | [
{
"created": "Sat, 20 May 2023 16:31:36 GMT",
"version": "v1"
}
] | 2023-09-08 | [
[
"Choi",
"Jaemin",
""
]
] | Chase-Lev deque is a concurrent data structure designed for efficient load balancing in multiprocessor scheduling. It employs a work-stealing strategy, where each thread possesses its own work-stealing deque to store tasks, and idle threads steal tasks from other threads. However, given the inherent risk of bugs in sof... |
1705.00780 | Jin Wang | Jin Wang, Feng Shu, Jinhui Lu, Hai Yu, Riqing Chen, Jun Li, and
Dushantha Nalin K. Jayakody | Sum-MSE performance gain of DFT-based channel estimator over
frequency-domain LS one in full-duplex OFDM systems with colored interference | 9 pages, 5 figures | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we make an investigation on the sum-mean-square-error
(sum-MSE) performance gain achieved by DFT-based least-square (LS) channel
estimator over frequency-domain LS one in full-duplex OFDM system in the
presence of colored interference and noise. The closed-form expression of the
sum-MSE performance gai... | [
{
"created": "Tue, 2 May 2017 03:05:07 GMT",
"version": "v1"
}
] | 2017-05-03 | [
[
"Wang",
"Jin",
""
],
[
"Shu",
"Feng",
""
],
[
"Lu",
"Jinhui",
""
],
[
"Yu",
"Hai",
""
],
[
"Chen",
"Riqing",
""
],
[
"Li",
"Jun",
""
],
[
"Jayakody",
"Dushantha Nalin K.",
""
]
] | In this paper, we make an investigation on the sum-mean-square-error (sum-MSE) performance gain achieved by DFT-based least-square (LS) channel estimator over frequency-domain LS one in full-duplex OFDM system in the presence of colored interference and noise. The closed-form expression of the sum-MSE performance gain ... |
1511.06940 | Mathew Samimi | Mathew K. Samimi, Shu Sun, and Theodore S. Rappaport | MIMO Channel Modeling and Capacity Analysis for 5G Millimeter-Wave
Wireless Systems | 5 pages, 6 figures, accepted in the 10th European Conference on
Antennas and Propagation (EuCAP'2016), April 2016 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a 3-D statistical channel model of the impulse response
with small-scale spatially correlated random coefficients for multi-element
transmitter and receiver antenna arrays, derived using the physically-based
time cluster - spatial lobe (TCSL) clustering scheme. The small-scale
properties of multip... | [
{
"created": "Sat, 21 Nov 2015 23:44:48 GMT",
"version": "v1"
},
{
"created": "Thu, 28 Jan 2016 01:37:13 GMT",
"version": "v2"
}
] | 2016-01-29 | [
[
"Samimi",
"Mathew K.",
""
],
[
"Sun",
"Shu",
""
],
[
"Rappaport",
"Theodore S.",
""
]
] | This paper presents a 3-D statistical channel model of the impulse response with small-scale spatially correlated random coefficients for multi-element transmitter and receiver antenna arrays, derived using the physically-based time cluster - spatial lobe (TCSL) clustering scheme. The small-scale properties of multipat... |
2302.06361 | Thomas Eisenbarth | Jonas Sander, Sebastian Berndt, Ida Bruhns, Thomas Eisenbarth | DASH: Accelerating Distributed Private Machine Learning Inference with
Arithmetic Garbled Circuits | null | null | null | null | cs.CR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The adoption of machine learning solutions is rapidly increasing across all
parts of society. Cloud service providers such as Amazon Web Services,
Microsoft Azure and the Google Cloud Platform aggressively expand their
Machine-Learning-as-a-Service offerings. While the widespread adoption of
machine learning has huge... | [
{
"created": "Mon, 13 Feb 2023 13:48:08 GMT",
"version": "v1"
}
] | 2023-02-14 | [
[
"Sander",
"Jonas",
""
],
[
"Berndt",
"Sebastian",
""
],
[
"Bruhns",
"Ida",
""
],
[
"Eisenbarth",
"Thomas",
""
]
] | The adoption of machine learning solutions is rapidly increasing across all parts of society. Cloud service providers such as Amazon Web Services, Microsoft Azure and the Google Cloud Platform aggressively expand their Machine-Learning-as-a-Service offerings. While the widespread adoption of machine learning has huge p... |
2305.12461 | Wei Li | Wei Li, Borui Yang, Yujie Sun, Suyu Chen, Ziyun Song, Liyao Xiang,
Xinbing Wang, Chenghu Zhou | Towards Tracing Code Provenance with Code Watermarking | 12 pages | null | null | null | cs.CR cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advances in large language models have raised wide concern in
generating abundant plausible source code without scrutiny, and thus tracing
the provenance of code emerges as a critical issue. To solve the issue, we
propose CodeMark, a watermarking system that hides bit strings into variables
respecting the natu... | [
{
"created": "Sun, 21 May 2023 13:53:12 GMT",
"version": "v1"
}
] | 2023-05-23 | [
[
"Li",
"Wei",
""
],
[
"Yang",
"Borui",
""
],
[
"Sun",
"Yujie",
""
],
[
"Chen",
"Suyu",
""
],
[
"Song",
"Ziyun",
""
],
[
"Xiang",
"Liyao",
""
],
[
"Wang",
"Xinbing",
""
],
[
"Zhou",
"Chenghu",
... | Recent advances in large language models have raised wide concern in generating abundant plausible source code without scrutiny, and thus tracing the provenance of code emerges as a critical issue. To solve the issue, we propose CodeMark, a watermarking system that hides bit strings into variables respecting the natura... |
1005.5490 | Richard Formato | Richard A. Formato | On the Utility of Directional Information for Repositioning Errant
Probes in Central Force Optimization | Ver. 2, 6 June 2010 (Fig. 1 improved for clarity; minor typos
corrected) | null | null | null | cs.OH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Central Force Optimization is a global search and optimization algorithm that
searches a decision space by flying "probes" whose trajectories are
deterministically computed using two equations of motion. Because it is
possible for a probe to fly outside the domain of feasible solutions, a simple
errant probe retrieva... | [
{
"created": "Sat, 29 May 2010 22:38:57 GMT",
"version": "v1"
},
{
"created": "Sun, 6 Jun 2010 13:03:13 GMT",
"version": "v2"
}
] | 2010-06-08 | [
[
"Formato",
"Richard A.",
""
]
] | Central Force Optimization is a global search and optimization algorithm that searches a decision space by flying "probes" whose trajectories are deterministically computed using two equations of motion. Because it is possible for a probe to fly outside the domain of feasible solutions, a simple errant probe retrieval ... |
2103.16444 | Roberto Doriguzzi Corin | Sajad Khorsandroo, Adrian Gallego Sanchez, Ali Saman Tosun, Jose'
Manuel Arco Rodriguez, Roberto Doriguzzi-Corin | Hybrid SDN Evolution: A Comprehensive Survey of the State-of-the-Art | null | null | 10.1016/j.comnet.2021.107981 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Software-Defined Networking (SDN) is an evolutionary networking paradigm
which has been adopted by large network and cloud providers, among which are
Tech Giants. However, embracing a new and futuristic paradigm as an alternative
to well-established and mature legacy networking paradigm requires a lot of
time along w... | [
{
"created": "Tue, 30 Mar 2021 15:44:21 GMT",
"version": "v1"
}
] | 2021-03-31 | [
[
"Khorsandroo",
"Sajad",
""
],
[
"Sanchez",
"Adrian Gallego",
""
],
[
"Tosun",
"Ali Saman",
""
],
[
"Rodriguez",
"Jose' Manuel Arco",
""
],
[
"Doriguzzi-Corin",
"Roberto",
""
]
] | Software-Defined Networking (SDN) is an evolutionary networking paradigm which has been adopted by large network and cloud providers, among which are Tech Giants. However, embracing a new and futuristic paradigm as an alternative to well-established and mature legacy networking paradigm requires a lot of time along wit... |
1804.10960 | Daniel Hein | Daniel Hein, Steffen Udluft, Thomas A. Runkler | Generating Interpretable Fuzzy Controllers using Particle Swarm
Optimization and Genetic Programming | Accepted at Genetic and Evolutionary Computation Conference 2018
(GECCO '18) | null | 10.1145/3205651.3208277 | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Autonomously training interpretable control strategies, called policies,
using pre-existing plant trajectory data is of great interest in industrial
applications. Fuzzy controllers have been used in industry for decades as
interpretable and efficient system controllers. In this study, we introduce a
fuzzy genetic pro... | [
{
"created": "Sun, 29 Apr 2018 16:18:12 GMT",
"version": "v1"
}
] | 2018-05-01 | [
[
"Hein",
"Daniel",
""
],
[
"Udluft",
"Steffen",
""
],
[
"Runkler",
"Thomas A.",
""
]
] | Autonomously training interpretable control strategies, called policies, using pre-existing plant trajectory data is of great interest in industrial applications. Fuzzy controllers have been used in industry for decades as interpretable and efficient system controllers. In this study, we introduce a fuzzy genetic progr... |
2401.06205 | D. Hudson Smith | D. Hudson Smith, Carl Ehrett, Patrick L. Warren | Unsupervised detection of coordinated information operations in the wild | 34 pages, 10 figures | null | null | null | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper introduces and tests an unsupervised method for detecting novel
coordinated inauthentic information operations (CIOs) in realistic settings.
This method uses Bayesian inference to identify groups of accounts that share
similar account-level characteristics and target similar narratives. We solve
the infere... | [
{
"created": "Thu, 11 Jan 2024 18:16:23 GMT",
"version": "v1"
}
] | 2024-01-15 | [
[
"Smith",
"D. Hudson",
""
],
[
"Ehrett",
"Carl",
""
],
[
"Warren",
"Patrick L.",
""
]
] | This paper introduces and tests an unsupervised method for detecting novel coordinated inauthentic information operations (CIOs) in realistic settings. This method uses Bayesian inference to identify groups of accounts that share similar account-level characteristics and target similar narratives. We solve the inferent... |
1706.01069 | Xinyu Fu | Xinyu Fu, Eugene Ch'ng, Uwe Aickelin, Simon See | CRNN: A Joint Neural Network for Redundancy Detection | Conference paper accepted at IEEE SMARTCOMP 2017, Hong Kong | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a novel framework for detecting redundancy in supervised
sentence categorisation. Unlike traditional singleton neural network, our model
incorporates character-aware convolutional neural network (Char-CNN) with
character-aware recurrent neural network (Char-RNN) to form a convolutional
recurrent n... | [
{
"created": "Sun, 4 Jun 2017 13:12:45 GMT",
"version": "v1"
}
] | 2017-06-06 | [
[
"Fu",
"Xinyu",
""
],
[
"Ch'ng",
"Eugene",
""
],
[
"Aickelin",
"Uwe",
""
],
[
"See",
"Simon",
""
]
] | This paper proposes a novel framework for detecting redundancy in supervised sentence categorisation. Unlike traditional singleton neural network, our model incorporates character-aware convolutional neural network (Char-CNN) with character-aware recurrent neural network (Char-RNN) to form a convolutional recurrent neu... |
2304.04232 | Mostafa Emara | Mostafa Emara, Nour Kouzayha, Hesham ElSawy, and Tareq Y. Al-Naffouri | Rate Adaptation in Delay-Sensitive and Energy-Constrained Large-Scale
IoT Networks | null | null | null | null | cs.IT eess.SP math.IT | http://creativecommons.org/licenses/by/4.0/ | Feedback transmissions are used to acknowledge correct packet reception,
trigger erroneous packet re-transmissions, and adapt transmission parameters
(e.g., rate and power). Despite the paramount role of feedback in establishing
reliable communication links, the majority of the literature overlooks its
impact by assu... | [
{
"created": "Sun, 9 Apr 2023 13:06:47 GMT",
"version": "v1"
},
{
"created": "Tue, 9 Jan 2024 07:01:09 GMT",
"version": "v2"
}
] | 2024-01-10 | [
[
"Emara",
"Mostafa",
""
],
[
"Kouzayha",
"Nour",
""
],
[
"ElSawy",
"Hesham",
""
],
[
"Al-Naffouri",
"Tareq Y.",
""
]
] | Feedback transmissions are used to acknowledge correct packet reception, trigger erroneous packet re-transmissions, and adapt transmission parameters (e.g., rate and power). Despite the paramount role of feedback in establishing reliable communication links, the majority of the literature overlooks its impact by assumi... |
2202.03758 | Shadi Rahimian | Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz | Practical Challenges in Differentially-Private Federated Survival
Analysis of Medical Data | null | null | null | null | cs.LG cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Survival analysis or time-to-event analysis aims to model and predict the
time it takes for an event of interest to happen in a population or an
individual. In the medical context this event might be the time of dying,
metastasis, recurrence of cancer, etc. Recently, the use of neural networks
that are specifically d... | [
{
"created": "Tue, 8 Feb 2022 10:03:24 GMT",
"version": "v1"
}
] | 2022-02-09 | [
[
"Rahimian",
"Shadi",
""
],
[
"Kerkouche",
"Raouf",
""
],
[
"Kurth",
"Ina",
""
],
[
"Fritz",
"Mario",
""
]
] | Survival analysis or time-to-event analysis aims to model and predict the time it takes for an event of interest to happen in a population or an individual. In the medical context this event might be the time of dying, metastasis, recurrence of cancer, etc. Recently, the use of neural networks that are specifically des... |
1602.01950 | Loet Leydesdorff | Jordan A. Comins and Loet Leydesdorff | RPYS i/o: A web-based tool for the historiography and visualization of
citation classics, sleeping beauties, and research fronts | null | null | null | null | cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reference Publication Year Spectroscopy (RPYS) and Multi-RPYS provide
algorithmic approaches to reconstructing the intellectual histories of
scientific fields. With this brief communication, we describe a technical
advancement for developing research historiographies by introducing RPYS i/o,
an online tool for perfor... | [
{
"created": "Fri, 5 Feb 2016 08:10:56 GMT",
"version": "v1"
},
{
"created": "Tue, 9 Feb 2016 06:23:34 GMT",
"version": "v2"
}
] | 2016-02-10 | [
[
"Comins",
"Jordan A.",
""
],
[
"Leydesdorff",
"Loet",
""
]
] | Reference Publication Year Spectroscopy (RPYS) and Multi-RPYS provide algorithmic approaches to reconstructing the intellectual histories of scientific fields. With this brief communication, we describe a technical advancement for developing research historiographies by introducing RPYS i/o, an online tool for performi... |
2204.11436 | Zhishe Wang | Zhishe Wang, Yanlin Chen, Wenyu Shao, Hui Li, Lei Zhang | SwinFuse: A Residual Swin Transformer Fusion Network for Infrared and
Visible Images | 12pages, 19figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The existing deep learning fusion methods mainly concentrate on the
convolutional neural networks, and few attempts are made with transformer.
Meanwhile, the convolutional operation is a content-independent interaction
between the image and convolution kernel, which may lose some important
contexts and further limit ... | [
{
"created": "Mon, 25 Apr 2022 05:04:19 GMT",
"version": "v1"
}
] | 2022-04-26 | [
[
"Wang",
"Zhishe",
""
],
[
"Chen",
"Yanlin",
""
],
[
"Shao",
"Wenyu",
""
],
[
"Li",
"Hui",
""
],
[
"Zhang",
"Lei",
""
]
] | The existing deep learning fusion methods mainly concentrate on the convolutional neural networks, and few attempts are made with transformer. Meanwhile, the convolutional operation is a content-independent interaction between the image and convolution kernel, which may lose some important contexts and further limit fu... |
1507.07064 | Hadi Hosseini | Hadi Hosseini and Kate Larson | Strategyproof Quota Mechanisms for Multiple Assignment Problems | 16 pages | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of allocating multiple objects to agents without
transferable utilities, where each agent may receive more than one object
according to a quota. Under lexicographic preferences, we characterize the set
of strategyproof, non-bossy, and neutral quota mechanisms and show that under a
mild Pareto eff... | [
{
"created": "Sat, 25 Jul 2015 03:41:43 GMT",
"version": "v1"
},
{
"created": "Sat, 17 Dec 2016 00:45:47 GMT",
"version": "v2"
}
] | 2016-12-20 | [
[
"Hosseini",
"Hadi",
""
],
[
"Larson",
"Kate",
""
]
] | We study the problem of allocating multiple objects to agents without transferable utilities, where each agent may receive more than one object according to a quota. Under lexicographic preferences, we characterize the set of strategyproof, non-bossy, and neutral quota mechanisms and show that under a mild Pareto effic... |
1904.01172 | Shane Storks | Shane Storks, Qiaozi Gao, Joyce Y. Chai | Recent Advances in Natural Language Inference: A Survey of Benchmarks,
Resources, and Approaches | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the NLP community, recent years have seen a surge of research activities
that address machines' ability to perform deep language understanding which
goes beyond what is explicitly stated in text, rather relying on reasoning and
knowledge of the world. Many benchmark tasks and datasets have been created to
support ... | [
{
"created": "Tue, 2 Apr 2019 02:09:01 GMT",
"version": "v1"
},
{
"created": "Wed, 20 Nov 2019 22:34:49 GMT",
"version": "v2"
},
{
"created": "Wed, 26 Feb 2020 14:28:42 GMT",
"version": "v3"
}
] | 2020-02-27 | [
[
"Storks",
"Shane",
""
],
[
"Gao",
"Qiaozi",
""
],
[
"Chai",
"Joyce Y.",
""
]
] | In the NLP community, recent years have seen a surge of research activities that address machines' ability to perform deep language understanding which goes beyond what is explicitly stated in text, rather relying on reasoning and knowledge of the world. Many benchmark tasks and datasets have been created to support th... |
2307.13635 | Alexandre Luna Ph.D. | Alexandre J. H. de O. Luna, Marcelo L. M. Marinho | Multi-Scenario Empirical Assessment of Agile Governance Theory: A
Technical Report | The full paper, "Agile governance theory: a multi-scenario empirical
assessment", derived from this Technical Report, is published in the Revista
Observatorio de La Economia Latinoamericana, ISSN 1696-8352. DOI:
https://doi.org/10.55905/oelv21n6-135 | Observatorio de la Economia Latinoamericana, 21(6), 5767 5800
(2023) | 10.55905/oelv21n6-135 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Context: Agile Governance Theory (AGT) has emerged as a potential model for
organizational chains of responsibility across business units and teams.
Objective: This study aims to assess how AGT is reflected in practice. Method:
AGT was operationalized down into 16 testable hypotheses. All hypotheses were
tested by ar... | [
{
"created": "Mon, 3 Jul 2023 18:50:36 GMT",
"version": "v1"
}
] | 2023-07-26 | [
[
"Luna",
"Alexandre J. H. de O.",
""
],
[
"Marinho",
"Marcelo L. M.",
""
]
] | Context: Agile Governance Theory (AGT) has emerged as a potential model for organizational chains of responsibility across business units and teams. Objective: This study aims to assess how AGT is reflected in practice. Method: AGT was operationalized down into 16 testable hypotheses. All hypotheses were tested by arra... |
2009.06459 | Jihong Park | Chaouki Ben Issaid, Anis Elgabli, Jihong Park, Mehdi Bennis,
M\'erouane Debbah | Communication Efficient Distributed Learning with Censored, Quantized,
and Generalized Group ADMM | 14 pages, 5 figures | null | null | null | cs.LG cs.IT cs.NI math.IT stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a communication-efficiently decentralized machine
learning framework that solves a consensus optimization problem defined over a
network of inter-connected workers. The proposed algorithm, Censored and
Quantized Generalized GADMM (CQ-GGADMM), leverages the worker grouping and
decentralized l... | [
{
"created": "Mon, 14 Sep 2020 14:18:19 GMT",
"version": "v1"
},
{
"created": "Tue, 12 Jan 2021 05:37:15 GMT",
"version": "v2"
}
] | 2021-01-13 | [
[
"Issaid",
"Chaouki Ben",
""
],
[
"Elgabli",
"Anis",
""
],
[
"Park",
"Jihong",
""
],
[
"Bennis",
"Mehdi",
""
],
[
"Debbah",
"Mérouane",
""
]
] | In this paper, we propose a communication-efficiently decentralized machine learning framework that solves a consensus optimization problem defined over a network of inter-connected workers. The proposed algorithm, Censored and Quantized Generalized GADMM (CQ-GGADMM), leverages the worker grouping and decentralized lea... |
2210.13769 | Jerin Geo James | Jerin Geo James (1), Devansh Jain (1), Ajit Rajwade (1) ((1) Indian
Institute of Technology Bombay) | GlobalFlowNet: Video Stabilization using Deep Distilled Global Motion
Estimates | Accepted in WACV 2023 | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | Videos shot by laymen using hand-held cameras contain undesirable shaky
motion. Estimating the global motion between successive frames, in a manner not
influenced by moving objects, is central to many video stabilization
techniques, but poses significant challenges. A large body of work uses 2D
affine transformations... | [
{
"created": "Tue, 25 Oct 2022 05:09:18 GMT",
"version": "v1"
},
{
"created": "Wed, 26 Oct 2022 05:36:53 GMT",
"version": "v2"
},
{
"created": "Fri, 4 Nov 2022 15:03:05 GMT",
"version": "v3"
}
] | 2022-11-07 | [
[
"James",
"Jerin Geo",
""
],
[
"Jain",
"Devansh",
""
],
[
"Rajwade",
"Ajit",
""
]
] | Videos shot by laymen using hand-held cameras contain undesirable shaky motion. Estimating the global motion between successive frames, in a manner not influenced by moving objects, is central to many video stabilization techniques, but poses significant challenges. A large body of work uses 2D affine transformations o... |
1409.0964 | Liansheng Zhuang | Liansheng Zhuang, Shenghua Gao, Jinhui Tang, Jingjing Wang, Zhouchen
Lin, Yi Ma | Constructing a Non-Negative Low Rank and Sparse Graph with Data-Adaptive
Features | null | null | 10.1109/TIP.2015.2441632 | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper aims at constructing a good graph for discovering intrinsic data
structures in a semi-supervised learning setting. Firstly, we propose to build
a non-negative low-rank and sparse (referred to as NNLRS) graph for the given
data representation. Specifically, the weights of edges in the graph are
obtained by ... | [
{
"created": "Wed, 3 Sep 2014 06:45:11 GMT",
"version": "v1"
}
] | 2023-07-19 | [
[
"Zhuang",
"Liansheng",
""
],
[
"Gao",
"Shenghua",
""
],
[
"Tang",
"Jinhui",
""
],
[
"Wang",
"Jingjing",
""
],
[
"Lin",
"Zhouchen",
""
],
[
"Ma",
"Yi",
""
]
] | This paper aims at constructing a good graph for discovering intrinsic data structures in a semi-supervised learning setting. Firstly, we propose to build a non-negative low-rank and sparse (referred to as NNLRS) graph for the given data representation. Specifically, the weights of edges in the graph are obtained by se... |
1810.04058 | Ian Xiao | Ian Xiao | A Distributed Reinforcement Learning Solution With Knowledge Transfer
Capability for A Bike Rebalancing Problem | null | null | null | null | cs.AI cs.HC cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Rebalancing is a critical service bottleneck for many transportation
services, such as Citi Bike. Citi Bike relies on manual orchestrations of
rebalancing bikes between dispatchers and field agents. Motivated by such
problem and the lack of smart autonomous solutions in this area, this project
explored a new RL archi... | [
{
"created": "Tue, 9 Oct 2018 14:57:55 GMT",
"version": "v1"
}
] | 2018-10-10 | [
[
"Xiao",
"Ian",
""
]
] | Rebalancing is a critical service bottleneck for many transportation services, such as Citi Bike. Citi Bike relies on manual orchestrations of rebalancing bikes between dispatchers and field agents. Motivated by such problem and the lack of smart autonomous solutions in this area, this project explored a new RL archite... |
2209.05319 | John Chebor Mr. | John C. Chebor, Simon M. Karume, Nelson B. Masese and Andrew Kipkebut | Prototyping a Serial Number Based Authentication Model for a Computer in
a Wireless Local Area Network | 13 pages, 11 figures | International Journal of Wireless & Mobile Networks (IJWMN) 14
(2022) 27-39 | 10.5121/ijwmn.2022.14403 | null | cs.CR cs.NI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | With the increase of wireless LAN usage in homes and enterprises due to its
numerous benefits, authenticating the ever increasing number of devices and
their users has become a challenge to proprietors of such kind networks. A MAC
address, a physical network address that is used as basis for this study, has a
copy of... | [
{
"created": "Mon, 12 Sep 2022 15:21:15 GMT",
"version": "v1"
}
] | 2022-09-13 | [
[
"Chebor",
"John C.",
""
],
[
"Karume",
"Simon M.",
""
],
[
"Masese",
"Nelson B.",
""
],
[
"Kipkebut",
"Andrew",
""
]
] | With the increase of wireless LAN usage in homes and enterprises due to its numerous benefits, authenticating the ever increasing number of devices and their users has become a challenge to proprietors of such kind networks. A MAC address, a physical network address that is used as basis for this study, has a copy of i... |
2002.04980 | Travis Gesslein | Travis Gesslein, Jens Grubert | C-D Ratio in multi-display environments | 10 pages, master thesis paper | null | null | null | cs.HC | http://creativecommons.org/publicdomain/zero/1.0/ | Research in user interaction with mixed reality environments using multiple
displays has become increasingly relevant with the prevalence of mobile devices
in everyday life and increased commoditization of large display area
technologies using projectors or large displays. Previous work often combines
touch-based inp... | [
{
"created": "Wed, 12 Feb 2020 13:37:24 GMT",
"version": "v1"
}
] | 2020-02-13 | [
[
"Gesslein",
"Travis",
""
],
[
"Grubert",
"Jens",
""
]
] | Research in user interaction with mixed reality environments using multiple displays has become increasingly relevant with the prevalence of mobile devices in everyday life and increased commoditization of large display area technologies using projectors or large displays. Previous work often combines touch-based input... |
2101.03680 | Aoyu Wu | Aoyu Wu, Liwenhan Xie, Bongshin Lee, Yun Wang, Weiwei Cui, Huamin Qu | Learning to Automate Chart Layout Configurations Using Crowdsourced
Paired Comparison | Accepted at ACM CHI 2021 | null | null | null | cs.HC cs.GR | http://creativecommons.org/licenses/by/4.0/ | We contribute a method to automate parameter configurations for chart layouts
by learning from human preferences. Existing charting tools usually determine
the layout parameters using predefined heuristics, producing sub-optimal
layouts. People can repeatedly adjust multiple parameters (e.g., chart size,
gap) to achi... | [
{
"created": "Mon, 11 Jan 2021 02:49:46 GMT",
"version": "v1"
}
] | 2021-01-12 | [
[
"Wu",
"Aoyu",
""
],
[
"Xie",
"Liwenhan",
""
],
[
"Lee",
"Bongshin",
""
],
[
"Wang",
"Yun",
""
],
[
"Cui",
"Weiwei",
""
],
[
"Qu",
"Huamin",
""
]
] | We contribute a method to automate parameter configurations for chart layouts by learning from human preferences. Existing charting tools usually determine the layout parameters using predefined heuristics, producing sub-optimal layouts. People can repeatedly adjust multiple parameters (e.g., chart size, gap) to achiev... |
2401.05579 | Ahmed Shoyeb Raihan | Ahmed Shoyeb Raihan, Hamed Khosravi, Tanveer Hossain Bhuiyan, Imtiaz
Ahmed | An Augmented Surprise-guided Sequential Learning Framework for
Predicting the Melt Pool Geometry | null | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Metal Additive Manufacturing (MAM) has reshaped the manufacturing industry,
offering benefits like intricate design, minimal waste, rapid prototyping,
material versatility, and customized solutions. However, its full industry
adoption faces hurdles, particularly in achieving consistent product quality. A
crucial aspe... | [
{
"created": "Wed, 10 Jan 2024 23:05:23 GMT",
"version": "v1"
}
] | 2024-01-12 | [
[
"Raihan",
"Ahmed Shoyeb",
""
],
[
"Khosravi",
"Hamed",
""
],
[
"Bhuiyan",
"Tanveer Hossain",
""
],
[
"Ahmed",
"Imtiaz",
""
]
] | Metal Additive Manufacturing (MAM) has reshaped the manufacturing industry, offering benefits like intricate design, minimal waste, rapid prototyping, material versatility, and customized solutions. However, its full industry adoption faces hurdles, particularly in achieving consistent product quality. A crucial aspect... |
2206.00481 | Lamberto Ballan | Guglielmo Camporese, Elena Izzo, Lamberto Ballan | Where are my Neighbors? Exploiting Patches Relations in Self-Supervised
Vision Transformer | Accepted to BMVC 2022 | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Vision Transformers (ViTs) enabled the use of the transformer architecture on
vision tasks showing impressive performances when trained on big datasets.
However, on relatively small datasets, ViTs are less accurate given their lack
of inductive bias. To this end, we propose a simple but still effective
Self-Supervise... | [
{
"created": "Wed, 1 Jun 2022 13:25:32 GMT",
"version": "v1"
},
{
"created": "Thu, 13 Oct 2022 14:11:34 GMT",
"version": "v2"
}
] | 2022-10-14 | [
[
"Camporese",
"Guglielmo",
""
],
[
"Izzo",
"Elena",
""
],
[
"Ballan",
"Lamberto",
""
]
] | Vision Transformers (ViTs) enabled the use of the transformer architecture on vision tasks showing impressive performances when trained on big datasets. However, on relatively small datasets, ViTs are less accurate given their lack of inductive bias. To this end, we propose a simple but still effective Self-Supervised ... |
1902.03368 | Noel Codella | Noel Codella, Veronica Rotemberg, Philipp Tschandl, M. Emre Celebi,
Stephen Dusza, David Gutman, Brian Helba, Aadi Kalloo, Konstantinos Liopyris,
Michael Marchetti, Harald Kittler, and Allan Halpern | Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted
by the International Skin Imaging Collaboration (ISIC) | https://challenge2018.isic-archive.com/ | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work summarizes the results of the largest skin image analysis challenge
in the world, hosted by the International Skin Imaging Collaboration (ISIC), a
global partnership that has organized the world's largest public repository of
dermoscopic images of skin. The challenge was hosted in 2018 at the Medical
Image ... | [
{
"created": "Sat, 9 Feb 2019 04:18:10 GMT",
"version": "v1"
},
{
"created": "Fri, 29 Mar 2019 17:36:27 GMT",
"version": "v2"
}
] | 2019-04-01 | [
[
"Codella",
"Noel",
""
],
[
"Rotemberg",
"Veronica",
""
],
[
"Tschandl",
"Philipp",
""
],
[
"Celebi",
"M. Emre",
""
],
[
"Dusza",
"Stephen",
""
],
[
"Gutman",
"David",
""
],
[
"Helba",
"Brian",
""
],
[
... | This work summarizes the results of the largest skin image analysis challenge in the world, hosted by the International Skin Imaging Collaboration (ISIC), a global partnership that has organized the world's largest public repository of dermoscopic images of skin. The challenge was hosted in 2018 at the Medical Image Co... |
2306.10926 | Maxim Vochten | Maxim Vochten, Ali Mousavi Mohammadi, Arno Verduyn, Tinne De Laet,
Erwin Aertbeli\"en, Joris De Schutter | Invariant Descriptors of Motion and Force Trajectories for Interpreting
Object Manipulation Tasks in Contact | 20 pages, 14 figures. Accepted for Publication in IEEE Transactions
on Robotics (July 25, 2023) | null | 10.1109/TRO.2023.3309230 | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Invariant descriptors of point and rigid-body motion trajectories have been
proposed in the past as representative task models for motion recognition and
generalization. Currently, no invariant descriptor exists for representing
force trajectories, which appear in contact tasks. This paper introduces
invariant descri... | [
{
"created": "Mon, 19 Jun 2023 13:36:17 GMT",
"version": "v1"
},
{
"created": "Tue, 5 Dec 2023 14:54:01 GMT",
"version": "v2"
}
] | 2023-12-06 | [
[
"Vochten",
"Maxim",
""
],
[
"Mohammadi",
"Ali Mousavi",
""
],
[
"Verduyn",
"Arno",
""
],
[
"De Laet",
"Tinne",
""
],
[
"Aertbeliën",
"Erwin",
""
],
[
"De Schutter",
"Joris",
""
]
] | Invariant descriptors of point and rigid-body motion trajectories have been proposed in the past as representative task models for motion recognition and generalization. Currently, no invariant descriptor exists for representing force trajectories, which appear in contact tasks. This paper introduces invariant descript... |
2106.02990 | Ziyu Jiang | Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang | Self-Damaging Contrastive Learning | ICML 2021 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | The recent breakthrough achieved by contrastive learning accelerates the pace
for deploying unsupervised training on real-world data applications. However,
unlabeled data in reality is commonly imbalanced and shows a long-tail
distribution, and it is unclear how robustly the latest contrastive learning
methods could ... | [
{
"created": "Sun, 6 Jun 2021 00:04:49 GMT",
"version": "v1"
}
] | 2021-06-08 | [
[
"Jiang",
"Ziyu",
""
],
[
"Chen",
"Tianlong",
""
],
[
"Mortazavi",
"Bobak",
""
],
[
"Wang",
"Zhangyang",
""
]
] | The recent breakthrough achieved by contrastive learning accelerates the pace for deploying unsupervised training on real-world data applications. However, unlabeled data in reality is commonly imbalanced and shows a long-tail distribution, and it is unclear how robustly the latest contrastive learning methods could pe... |
1801.05204 | Andrei Marinescu | Andrei Marinescu, Irene Macaluso, Luiz A. DaSilva | A Multi-Agent Neural Network for Dynamic Frequency Reuse in LTE Networks | null | null | null | null | cs.NI cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Fractional Frequency Reuse techniques can be employed to address interference
in mobile networks, improving throughput for edge users. There is a tradeoff
between the coverage and overall throughput achievable, as interference
avoidance techniques lead to a loss in a cell's overall throughput, with
spectrum efficienc... | [
{
"created": "Tue, 16 Jan 2018 10:59:41 GMT",
"version": "v1"
}
] | 2018-01-17 | [
[
"Marinescu",
"Andrei",
""
],
[
"Macaluso",
"Irene",
""
],
[
"DaSilva",
"Luiz A.",
""
]
] | Fractional Frequency Reuse techniques can be employed to address interference in mobile networks, improving throughput for edge users. There is a tradeoff between the coverage and overall throughput achievable, as interference avoidance techniques lead to a loss in a cell's overall throughput, with spectrum efficiency ... |
2312.03746 | Murray Shanahan | Murray Shanahan and Catherine Clarke | Evaluating Large Language Model Creativity from a Literary Perspective | null | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | This paper assesses the potential for large language models (LLMs) to serve
as assistive tools in the creative writing process, by means of a single,
in-depth case study. In the course of the study, we develop interactive and
multi-voice prompting strategies that interleave background descriptions (scene
setting, plo... | [
{
"created": "Thu, 30 Nov 2023 16:46:25 GMT",
"version": "v1"
}
] | 2023-12-08 | [
[
"Shanahan",
"Murray",
""
],
[
"Clarke",
"Catherine",
""
]
] | This paper assesses the potential for large language models (LLMs) to serve as assistive tools in the creative writing process, by means of a single, in-depth case study. In the course of the study, we develop interactive and multi-voice prompting strategies that interleave background descriptions (scene setting, plot ... |
2102.00053 | Aleksander Czechowski | Aleksander Czechowski and Georgios Piliouras | Poincar\'{e}-Bendixson Limit Sets in Multi-Agent Learning | null | null | null | null | cs.GT cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A key challenge of evolutionary game theory and multi-agent learning is to
characterize the limit behavior of game dynamics. Whereas convergence is often
a property of learning algorithms in games satisfying a particular reward
structure (e.g., zero-sum games), even basic learning models, such as the
replicator dynam... | [
{
"created": "Fri, 29 Jan 2021 20:32:25 GMT",
"version": "v1"
},
{
"created": "Tue, 8 Feb 2022 17:50:48 GMT",
"version": "v2"
}
] | 2022-02-09 | [
[
"Czechowski",
"Aleksander",
""
],
[
"Piliouras",
"Georgios",
""
]
] | A key challenge of evolutionary game theory and multi-agent learning is to characterize the limit behavior of game dynamics. Whereas convergence is often a property of learning algorithms in games satisfying a particular reward structure (e.g., zero-sum games), even basic learning models, such as the replicator dynamic... |
2209.01996 | Peining Zhang | Peining Zhang, Junliang Guo, Linli Xu, Mu You, Junming Yin | Bridging Music and Text with Crowdsourced Music Comments: A
Sequence-to-Sequence Framework for Thematic Music Comments Generation | null | null | null | null | cs.SD cs.CL eess.AS | http://creativecommons.org/licenses/by/4.0/ | We consider a novel task of automatically generating text descriptions of
music. Compared with other well-established text generation tasks such as image
caption, the scarcity of well-paired music and text datasets makes it a much
more challenging task. In this paper, we exploit the crowd-sourced music
comments to co... | [
{
"created": "Mon, 5 Sep 2022 14:51:51 GMT",
"version": "v1"
}
] | 2022-09-07 | [
[
"Zhang",
"Peining",
""
],
[
"Guo",
"Junliang",
""
],
[
"Xu",
"Linli",
""
],
[
"You",
"Mu",
""
],
[
"Yin",
"Junming",
""
]
] | We consider a novel task of automatically generating text descriptions of music. Compared with other well-established text generation tasks such as image caption, the scarcity of well-paired music and text datasets makes it a much more challenging task. In this paper, we exploit the crowd-sourced music comments to cons... |
2106.10438 | Ying Cui | Dongdong Jiang, and Ying Cui | ML and MAP Device Activity Detections for Grant-Free Massive Access in
Multi-Cell Networks | null | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Device activity detection is one main challenge in grant-free massive access,
which is recently proposed to support massive machine-type communications
(mMTC). Existing solutions for device activity detection fail to consider
inter-cell interference generated by massive IoT devices or important prior
information on d... | [
{
"created": "Sat, 19 Jun 2021 06:53:51 GMT",
"version": "v1"
}
] | 2021-06-22 | [
[
"Jiang",
"Dongdong",
""
],
[
"Cui",
"Ying",
""
]
] | Device activity detection is one main challenge in grant-free massive access, which is recently proposed to support massive machine-type communications (mMTC). Existing solutions for device activity detection fail to consider inter-cell interference generated by massive IoT devices or important prior information on dev... |
1506.03782 | Marcelo Firer | Marcelo Firer and Judy L. Walker | Matched Metrics and Channels | null | null | null | null | cs.IT math.CO math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The most common decision criteria for decoding are maximum likelihood
decoding and nearest neighbor decoding. It is well-known that maximum
likelihood decoding coincides with nearest neighbor decoding with respect to
the Hamming metric on the binary symmetric channel. In this work we study
channels and metrics for wh... | [
{
"created": "Thu, 11 Jun 2015 19:13:58 GMT",
"version": "v1"
}
] | 2015-06-12 | [
[
"Firer",
"Marcelo",
""
],
[
"Walker",
"Judy L.",
""
]
] | The most common decision criteria for decoding are maximum likelihood decoding and nearest neighbor decoding. It is well-known that maximum likelihood decoding coincides with nearest neighbor decoding with respect to the Hamming metric on the binary symmetric channel. In this work we study channels and metrics for whic... |
2406.03920 | Birgit K\"uhbacher | Birgit K\"uhbacher, Fernando Iglesias-Suarez, Niki Kilbertus, Veronika
Eyring | Towards Physically Consistent Deep Learning For Climate Model
Parameterizations | null | null | null | null | cs.LG physics.ao-ph | http://creativecommons.org/licenses/by/4.0/ | Climate models play a critical role in understanding and projecting climate
change. Due to their complexity, their horizontal resolution of about 40-100 km
remains too coarse to resolve processes such as clouds and convection, which
need to be approximated via parameterizations. These parameterizations are a
major so... | [
{
"created": "Thu, 6 Jun 2024 10:02:49 GMT",
"version": "v1"
},
{
"created": "Thu, 1 Aug 2024 07:29:42 GMT",
"version": "v2"
}
] | 2024-08-02 | [
[
"Kühbacher",
"Birgit",
""
],
[
"Iglesias-Suarez",
"Fernando",
""
],
[
"Kilbertus",
"Niki",
""
],
[
"Eyring",
"Veronika",
""
]
] | Climate models play a critical role in understanding and projecting climate change. Due to their complexity, their horizontal resolution of about 40-100 km remains too coarse to resolve processes such as clouds and convection, which need to be approximated via parameterizations. These parameterizations are a major sour... |
2106.14152 | Kishor Datta Gupta | Kishor Datta Gupta, Dipankar Dasgupta | Who is Responsible for Adversarial Defense? | Accepted for poster presentation in ICML 2021 workshop "Challenges in
Deploying and monitoring Machine Learning Systems" | null | null | null | cs.CR cs.CY | http://creativecommons.org/licenses/by/4.0/ | We have seen a surge in research aims toward adversarial attacks and defenses
in AI/ML systems. While it is crucial to formulate new attack methods and
devise novel defense strategies for robustness, it is also imperative to
recognize who is responsible for implementing, validating, and justifying the
necessity of th... | [
{
"created": "Sun, 27 Jun 2021 06:09:04 GMT",
"version": "v1"
}
] | 2021-06-29 | [
[
"Gupta",
"Kishor Datta",
""
],
[
"Dasgupta",
"Dipankar",
""
]
] | We have seen a surge in research aims toward adversarial attacks and defenses in AI/ML systems. While it is crucial to formulate new attack methods and devise novel defense strategies for robustness, it is also imperative to recognize who is responsible for implementing, validating, and justifying the necessity of thes... |
2209.07836 | Rita Sevastjanova | Aikaterini-Lida Kalouli, Rita Sevastjanova, Christin Beck, and Maribel
Romero | Negation, Coordination, and Quantifiers in Contextualized Language
Models | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | With the success of contextualized language models, much research explores
what these models really learn and in which cases they still fail. Most of this
work focuses on specific NLP tasks and on the learning outcome. Little research
has attempted to decouple the models' weaknesses from specific tasks and focus
on t... | [
{
"created": "Fri, 16 Sep 2022 10:01:11 GMT",
"version": "v1"
}
] | 2022-09-19 | [
[
"Kalouli",
"Aikaterini-Lida",
""
],
[
"Sevastjanova",
"Rita",
""
],
[
"Beck",
"Christin",
""
],
[
"Romero",
"Maribel",
""
]
] | With the success of contextualized language models, much research explores what these models really learn and in which cases they still fail. Most of this work focuses on specific NLP tasks and on the learning outcome. Little research has attempted to decouple the models' weaknesses from specific tasks and focus on the... |
2407.19683 | Gianmarco Mengaldo Dr | Jiawen Wei, Hugues Turb\'e, Gianmarco Mengaldo | Revisiting the robustness of post-hoc interpretability methods | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Post-hoc interpretability methods play a critical role in explainable
artificial intelligence (XAI), as they pinpoint portions of data that a trained
deep learning model deemed important to make a decision. However, different
post-hoc interpretability methods often provide different results, casting
doubts on their a... | [
{
"created": "Mon, 29 Jul 2024 03:55:52 GMT",
"version": "v1"
}
] | 2024-07-30 | [
[
"Wei",
"Jiawen",
""
],
[
"Turbé",
"Hugues",
""
],
[
"Mengaldo",
"Gianmarco",
""
]
] | Post-hoc interpretability methods play a critical role in explainable artificial intelligence (XAI), as they pinpoint portions of data that a trained deep learning model deemed important to make a decision. However, different post-hoc interpretability methods often provide different results, casting doubts on their acc... |
2403.04539 | Geraldo Francisco De Oliveira Junior | Geraldo F. Oliveira and Emanuele G. Esposito and Juan G\'omez-Luna and
Onur Mutlu | PUMA: Efficient and Low-Cost Memory Allocation and Alignment Support for
Processing-Using-Memory Architectures | null | null | null | null | cs.AR | http://creativecommons.org/licenses/by/4.0/ | Processing-using-DRAM (PUD) architectures impose a restrictive data layout
and alignment for their operands, where source and destination operands (i)
must reside in the same DRAM subarray (i.e., a group of DRAM rows sharing the
same row buffer and row decoder) and (ii) are aligned to the boundaries of a
DRAM row. Ho... | [
{
"created": "Thu, 7 Mar 2024 14:36:26 GMT",
"version": "v1"
}
] | 2024-03-08 | [
[
"Oliveira",
"Geraldo F.",
""
],
[
"Esposito",
"Emanuele G.",
""
],
[
"Gómez-Luna",
"Juan",
""
],
[
"Mutlu",
"Onur",
""
]
] | Processing-using-DRAM (PUD) architectures impose a restrictive data layout and alignment for their operands, where source and destination operands (i) must reside in the same DRAM subarray (i.e., a group of DRAM rows sharing the same row buffer and row decoder) and (ii) are aligned to the boundaries of a DRAM row. Howe... |
2406.18763 | Tianyi Zhao | Tianyi Zhao, Jian Kang, Lu Cheng | Conformalized Link Prediction on Graph Neural Networks | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph Neural Networks (GNNs) excel in diverse tasks, yet their applications
in high-stakes domains are often hampered by unreliable predictions. Although
numerous uncertainty quantification methods have been proposed to address this
limitation, they often lack \textit{rigorous} uncertainty estimates. This work
makes ... | [
{
"created": "Wed, 26 Jun 2024 21:17:37 GMT",
"version": "v1"
},
{
"created": "Thu, 18 Jul 2024 22:06:38 GMT",
"version": "v2"
}
] | 2024-07-22 | [
[
"Zhao",
"Tianyi",
""
],
[
"Kang",
"Jian",
""
],
[
"Cheng",
"Lu",
""
]
] | Graph Neural Networks (GNNs) excel in diverse tasks, yet their applications in high-stakes domains are often hampered by unreliable predictions. Although numerous uncertainty quantification methods have been proposed to address this limitation, they often lack \textit{rigorous} uncertainty estimates. This work makes th... |
2208.14614 | A S M Ahsan-Ul Haque | A S M Ahsan-Ul Haque, Hongning Wang | Rethinking Conversational Recommendations: Is Decision Tree All You
Need? | 19 pages, 5 figures | null | 10.1145/3511808.3557433 | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Conversational recommender systems (CRS) dynamically obtain the user
preferences via multi-turn questions and answers. The existing CRS solutions
are widely dominated by deep reinforcement learning algorithms. However, deep
reinforcement learning methods are often criticised for lacking
interpretability and requiring... | [
{
"created": "Wed, 31 Aug 2022 03:28:21 GMT",
"version": "v1"
}
] | 2022-09-01 | [
[
"Haque",
"A S M Ahsan-Ul",
""
],
[
"Wang",
"Hongning",
""
]
] | Conversational recommender systems (CRS) dynamically obtain the user preferences via multi-turn questions and answers. The existing CRS solutions are widely dominated by deep reinforcement learning algorithms. However, deep reinforcement learning methods are often criticised for lacking interpretability and requiring a... |
2110.02585 | Maosheng Yang | Maosheng Yang, Elvin Isufi and Geert Leus | Simplicial Convolutional Neural Networks | 5 Pages, 2 figures, 1 table, submitted to ICASSP 2022 | null | null | null | cs.LG eess.SP | http://creativecommons.org/licenses/by/4.0/ | Graphs can model networked data by representing them as nodes and their
pairwise relationships as edges. Recently, signal processing and neural
networks have been extended to process and learn from data on graphs, with
achievements in tasks like graph signal reconstruction, graph or node
classifications, and link pre... | [
{
"created": "Wed, 6 Oct 2021 08:52:55 GMT",
"version": "v1"
}
] | 2021-10-07 | [
[
"Yang",
"Maosheng",
""
],
[
"Isufi",
"Elvin",
""
],
[
"Leus",
"Geert",
""
]
] | Graphs can model networked data by representing them as nodes and their pairwise relationships as edges. Recently, signal processing and neural networks have been extended to process and learn from data on graphs, with achievements in tasks like graph signal reconstruction, graph or node classifications, and link predi... |
2310.09819 | Ravil Mussabayev | Ravil Mussabayev, Rustam Mussabayev | Comparative Analysis of Optimization Strategies for K-means Clustering
in Big Data Contexts: A Review | Submitted to the "Expert Systems with Applications" journal | null | null | null | cs.LG cs.AI math.OC | http://creativecommons.org/licenses/by-sa/4.0/ | This paper presents a comparative analysis of different optimization
techniques for the K-means algorithm in the context of big data. K-means is a
widely used clustering algorithm, but it can suffer from scalability issues
when dealing with large datasets. The paper explores different approaches to
overcome these iss... | [
{
"created": "Sun, 15 Oct 2023 12:35:27 GMT",
"version": "v1"
},
{
"created": "Thu, 7 Dec 2023 11:11:18 GMT",
"version": "v2"
},
{
"created": "Mon, 20 May 2024 09:20:45 GMT",
"version": "v3"
}
] | 2024-05-21 | [
[
"Mussabayev",
"Ravil",
""
],
[
"Mussabayev",
"Rustam",
""
]
] | This paper presents a comparative analysis of different optimization techniques for the K-means algorithm in the context of big data. K-means is a widely used clustering algorithm, but it can suffer from scalability issues when dealing with large datasets. The paper explores different approaches to overcome these issue... |
2007.09654 | Tong Wu | Tong Wu, Qingqiu Huang, Ziwei Liu, Yu Wang, Dahua Lin | Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed
Datasets | To appear in ECCV 2020 as a spotlight presentation. Code and models
are available at: https://github.com/wutong16/DistributionBalancedLoss | Proceedings Of The European Conference On Computer Vision (ECCV),
2020 | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a new loss function called Distribution-Balanced Loss for the
multi-label recognition problems that exhibit long-tailed class distributions.
Compared to conventional single-label classification problem, multi-label
recognition problems are often more challenging due to two significant issues,
namely the co... | [
{
"created": "Sun, 19 Jul 2020 11:50:10 GMT",
"version": "v1"
},
{
"created": "Sat, 25 Jul 2020 09:41:18 GMT",
"version": "v2"
},
{
"created": "Thu, 8 Oct 2020 14:49:02 GMT",
"version": "v3"
},
{
"created": "Sat, 4 Dec 2021 02:47:46 GMT",
"version": "v4"
}
] | 2021-12-07 | [
[
"Wu",
"Tong",
""
],
[
"Huang",
"Qingqiu",
""
],
[
"Liu",
"Ziwei",
""
],
[
"Wang",
"Yu",
""
],
[
"Lin",
"Dahua",
""
]
] | We present a new loss function called Distribution-Balanced Loss for the multi-label recognition problems that exhibit long-tailed class distributions. Compared to conventional single-label classification problem, multi-label recognition problems are often more challenging due to two significant issues, namely the co-o... |
2103.07929 | Anya Belz | Anya Belz, Shubham Agarwal, Anastasia Shimorina, Ehud Reiter | A Systematic Review of Reproducibility Research in Natural Language
Processing | To be published in proceedings of EACL'21 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Against the background of what has been termed a reproducibility crisis in
science, the NLP field is becoming increasingly interested in, and
conscientious about, the reproducibility of its results. The past few years
have seen an impressive range of new initiatives, events and active research in
the area. However, t... | [
{
"created": "Sun, 14 Mar 2021 13:53:05 GMT",
"version": "v1"
},
{
"created": "Sun, 21 Mar 2021 11:11:14 GMT",
"version": "v2"
}
] | 2021-03-23 | [
[
"Belz",
"Anya",
""
],
[
"Agarwal",
"Shubham",
""
],
[
"Shimorina",
"Anastasia",
""
],
[
"Reiter",
"Ehud",
""
]
] | Against the background of what has been termed a reproducibility crisis in science, the NLP field is becoming increasingly interested in, and conscientious about, the reproducibility of its results. The past few years have seen an impressive range of new initiatives, events and active research in the area. However, the... |
2204.10365 | Anoop K | Anoop K., Manjary P. Gangan, Deepak P., Lajish V. L | Towards an Enhanced Understanding of Bias in Pre-trained Neural Language
Models: A Survey with Special Emphasis on Affective Bias | Accepted at ICDSE 2021 | null | 10.1007/978-981-19-4453-6_2 | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | The remarkable progress in Natural Language Processing (NLP) brought about by
deep learning, particularly with the recent advent of large pre-trained neural
language models, is brought into scrutiny as several studies began to discuss
and report potential biases in NLP applications. Bias in NLP is found to
originate ... | [
{
"created": "Thu, 21 Apr 2022 18:51:19 GMT",
"version": "v1"
}
] | 2023-01-25 | [
[
"K.",
"Anoop",
""
],
[
"Gangan",
"Manjary P.",
""
],
[
"P.",
"Deepak",
""
],
[
"L",
"Lajish V.",
""
]
] | The remarkable progress in Natural Language Processing (NLP) brought about by deep learning, particularly with the recent advent of large pre-trained neural language models, is brought into scrutiny as several studies began to discuss and report potential biases in NLP applications. Bias in NLP is found to originate fr... |
1902.08228 | A. Cengiz Oztireli | A. Cengiz \"Oztireli | A Comprehensive Theory and Variational Framework for Anti-aliasing
Sampling Patterns | null | null | null | null | cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we provide a comprehensive theory of anti-aliasing sampling
patterns that explains and revises known results, and show how patterns as
predicted by the theory can be generated via a variational optimization
framework. We start by deriving the exact spectral expression for expected
error in reconstructi... | [
{
"created": "Wed, 20 Feb 2019 16:03:11 GMT",
"version": "v1"
}
] | 2019-02-25 | [
[
"Öztireli",
"A. Cengiz",
""
]
] | In this paper, we provide a comprehensive theory of anti-aliasing sampling patterns that explains and revises known results, and show how patterns as predicted by the theory can be generated via a variational optimization framework. We start by deriving the exact spectral expression for expected error in reconstructing... |
1207.6096 | Grigory Yaroslavtsev | Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava, Grigory
Yaroslavtsev | Accurate and Efficient Private Release of Datacubes and Contingency
Tables | null | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A central problem in releasing aggregate information about sensitive data is
to do so accurately while providing a privacy guarantee on the output. Recent
work focuses on the class of linear queries, which include basic counting
queries, data cubes, and contingency tables. The goal is to maximize the
utility of their... | [
{
"created": "Wed, 25 Jul 2012 19:31:18 GMT",
"version": "v1"
}
] | 2012-07-26 | [
[
"Cormode",
"Graham",
""
],
[
"Procopiuc",
"Cecilia M.",
""
],
[
"Srivastava",
"Divesh",
""
],
[
"Yaroslavtsev",
"Grigory",
""
]
] | A central problem in releasing aggregate information about sensitive data is to do so accurately while providing a privacy guarantee on the output. Recent work focuses on the class of linear queries, which include basic counting queries, data cubes, and contingency tables. The goal is to maximize the utility of their o... |
2311.11163 | Jonathn Chang | Malvina Bozhidarova, Jonathn Chang, Aaishah Ale-rasool, Yuxiang Liu,
Chongyao Ma, Andrea L. Bertozzi, P. Jeffrey Brantingham, Junyuan Lin,
Sanjukta Krishnagopal | Hate speech and hate crimes: a data-driven study of evolving discourse
around marginalized groups | null | null | null | null | cs.SI stat.AP stat.CO | http://creativecommons.org/licenses/by/4.0/ | This study explores the dynamic relationship between online discourse, as
observed in tweets, and physical hate crimes, focusing on marginalized groups.
Leveraging natural language processing techniques, including keyword extraction
and topic modeling, we analyze the evolution of online discourse after events
affecti... | [
{
"created": "Sat, 18 Nov 2023 20:49:15 GMT",
"version": "v1"
}
] | 2023-11-21 | [
[
"Bozhidarova",
"Malvina",
""
],
[
"Chang",
"Jonathn",
""
],
[
"Ale-rasool",
"Aaishah",
""
],
[
"Liu",
"Yuxiang",
""
],
[
"Ma",
"Chongyao",
""
],
[
"Bertozzi",
"Andrea L.",
""
],
[
"Brantingham",
"P. Jeffrey",
... | This study explores the dynamic relationship between online discourse, as observed in tweets, and physical hate crimes, focusing on marginalized groups. Leveraging natural language processing techniques, including keyword extraction and topic modeling, we analyze the evolution of online discourse after events affecting... |
2405.19296 | Thomas Mitchel | Thomas W. Mitchel, Michael Taylor, Vincent Sitzmann | Neural Isometries: Taming Transformations for Equivariant ML | null | null | null | null | cs.CV cs.AI cs.GR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Real-world geometry and 3D vision tasks are replete with challenging
symmetries that defy tractable analytical expression. In this paper, we
introduce Neural Isometries, an autoencoder framework which learns to map the
observation space to a general-purpose latent space wherein encodings are
related by isometries whe... | [
{
"created": "Wed, 29 May 2024 17:24:25 GMT",
"version": "v1"
}
] | 2024-05-30 | [
[
"Mitchel",
"Thomas W.",
""
],
[
"Taylor",
"Michael",
""
],
[
"Sitzmann",
"Vincent",
""
]
] | Real-world geometry and 3D vision tasks are replete with challenging symmetries that defy tractable analytical expression. In this paper, we introduce Neural Isometries, an autoencoder framework which learns to map the observation space to a general-purpose latent space wherein encodings are related by isometries whene... |
1911.09536 | Abeer ElBahrawy | Abeer ElBahrawy, Laura Alessandretti, Leonid Rusnac, Daniel Goldsmith,
Alexander Teytelboym, Andrea Baronchelli | Collective Dynamics of Dark Web Marketplaces | null | Sci Rep 10, 18827 (2020) | 10.1038/s41598-020-74416-y | null | cs.CY physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Dark markets are commercial websites that use Bitcoin to sell or broker
transactions involving drugs, weapons, and other illicit goods. Being illegal,
they do not offer any user protection, and several police raids and scams have
caused large losses to both customers and vendors over the past years. However,
this unc... | [
{
"created": "Thu, 21 Nov 2019 15:21:54 GMT",
"version": "v1"
},
{
"created": "Tue, 12 Jan 2021 18:27:12 GMT",
"version": "v2"
}
] | 2021-01-13 | [
[
"ElBahrawy",
"Abeer",
""
],
[
"Alessandretti",
"Laura",
""
],
[
"Rusnac",
"Leonid",
""
],
[
"Goldsmith",
"Daniel",
""
],
[
"Teytelboym",
"Alexander",
""
],
[
"Baronchelli",
"Andrea",
""
]
] | Dark markets are commercial websites that use Bitcoin to sell or broker transactions involving drugs, weapons, and other illicit goods. Being illegal, they do not offer any user protection, and several police raids and scams have caused large losses to both customers and vendors over the past years. However, this uncer... |
1904.11619 | Kyongsik Yun | Kyongsik Yun, Luan Nguyen, Tuan Nguyen, Doyoung Kim, Sarah Eldin,
Alexander Huyen, Thomas Lu, Edward Chow | Small Target Detection for Search and Rescue Operations using
Distributed Deep Learning and Synthetic Data Generation | 6 pages, 4 figures, SPIE | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | It is important to find the target as soon as possible for search and rescue
operations. Surveillance camera systems and unmanned aerial vehicles (UAVs) are
used to support search and rescue. Automatic object detection is important
because a person cannot monitor multiple surveillance screens simultaneously
for 24 ho... | [
{
"created": "Thu, 25 Apr 2019 23:10:54 GMT",
"version": "v1"
}
] | 2019-04-29 | [
[
"Yun",
"Kyongsik",
""
],
[
"Nguyen",
"Luan",
""
],
[
"Nguyen",
"Tuan",
""
],
[
"Kim",
"Doyoung",
""
],
[
"Eldin",
"Sarah",
""
],
[
"Huyen",
"Alexander",
""
],
[
"Lu",
"Thomas",
""
],
[
"Chow",
"... | It is important to find the target as soon as possible for search and rescue operations. Surveillance camera systems and unmanned aerial vehicles (UAVs) are used to support search and rescue. Automatic object detection is important because a person cannot monitor multiple surveillance screens simultaneously for 24 hour... |
2005.05152 | Niklas Georg | Niklas Georg and Ulrich R\"omer | Conformally Mapped Polynomial Chaos Expansions for Maxwell's Source
Problem with Random Input Data | null | International Journal of Numerical Modelling: Electronic Networks,
Devices and Fields 33.6 (2020): e2776 | null | null | cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Generalized Polynomial Chaos (gPC) expansions are well established for
forward uncertainty propagation in many application areas. Although the
associated computational effort may be reduced in comparison to Monte Carlo
techniques, for instance, further convergence acceleration may be important to
tackle problems with... | [
{
"created": "Mon, 11 May 2020 14:43:58 GMT",
"version": "v1"
}
] | 2023-07-26 | [
[
"Georg",
"Niklas",
""
],
[
"Römer",
"Ulrich",
""
]
] | Generalized Polynomial Chaos (gPC) expansions are well established for forward uncertainty propagation in many application areas. Although the associated computational effort may be reduced in comparison to Monte Carlo techniques, for instance, further convergence acceleration may be important to tackle problems with h... |
0710.4795 | EDA Publishing Association | Alexandre M. Amory, Marcelo Lubaszewski, Fernando G. Moraes, Edson I.
Moreno | Test Time Reduction Reusing Multiple Processors in a Network-on-Chip
Based Architecture | Submitted on behalf of EDAA (http://www.edaa.com/) | Dans Design, Automation and Test in Europe - DATE'05, Munich :
Allemagne (2005) | null | null | cs.AR | null | The increasing complexity and the short life cycles of embedded systems are
pushing the current system-on-chip designs towards a rapid increasing on the
number of programmable processing units, while decreasing the gate count for
custom logic. Considering this trend, this work proposes a test planning method
capable ... | [
{
"created": "Thu, 25 Oct 2007 11:52:22 GMT",
"version": "v1"
}
] | 2011-11-09 | [
[
"Amory",
"Alexandre M.",
""
],
[
"Lubaszewski",
"Marcelo",
""
],
[
"Moraes",
"Fernando G.",
""
],
[
"Moreno",
"Edson I.",
""
]
] | The increasing complexity and the short life cycles of embedded systems are pushing the current system-on-chip designs towards a rapid increasing on the number of programmable processing units, while decreasing the gate count for custom logic. Considering this trend, this work proposes a test planning method capable of... |
2004.00438 | Lucas Baier | Lucas Baier (1), Marcel Hofmann (2), Niklas K\"uhl (1), Marisa Mohr (2
and 3) and Gerhard Satzger (1) ((1) Karlsruhe Institute of Technology,
Karlsruhe, Germany, (2) inovex GmbH, Karlsruhe, Germany (3) University of
L\"ubeck, L\"ubeck, Germany) | Handling Concept Drifts in Regression Problems -- the Error Intersection
Approach | null | null | 10.30844/wi_2020_c1-baier | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Machine learning models are omnipresent for predictions on big data. One
challenge of deployed models is the change of the data over time, a phenomenon
called concept drift. If not handled correctly, a concept drift can lead to
significant mispredictions. We explore a novel approach for concept drift
handling, which ... | [
{
"created": "Wed, 1 Apr 2020 13:30:05 GMT",
"version": "v1"
}
] | 2020-04-02 | [
[
"Baier",
"Lucas",
"",
"2\n and 3"
],
[
"Hofmann",
"Marcel",
"",
"2\n and 3"
],
[
"Kühl",
"Niklas",
"",
"2\n and 3"
],
[
"Mohr",
"Marisa",
"",
"2\n and 3"
],
[
"Satzger",
"Gerhard",
""
]
] | Machine learning models are omnipresent for predictions on big data. One challenge of deployed models is the change of the data over time, a phenomenon called concept drift. If not handled correctly, a concept drift can lead to significant mispredictions. We explore a novel approach for concept drift handling, which de... |
2309.15523 | Bowen Wang | Bowen Wang, Jiaxing Zhang, Ran Zhang, Yunqin Li, Liangzhi Li, Yuta
Nakashima | Improving Facade Parsing with Vision Transformers and Line Integration | 13 pages, 7 figures, 9 tables | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Facade parsing stands as a pivotal computer vision task with far-reaching
applications in areas like architecture, urban planning, and energy efficiency.
Despite the recent success of deep learning-based methods in yielding
impressive results on certain open-source datasets, their viability for
real-world application... | [
{
"created": "Wed, 27 Sep 2023 09:41:36 GMT",
"version": "v1"
},
{
"created": "Thu, 28 Sep 2023 08:51:46 GMT",
"version": "v2"
},
{
"created": "Mon, 2 Oct 2023 10:39:07 GMT",
"version": "v3"
},
{
"created": "Thu, 5 Oct 2023 14:13:35 GMT",
"version": "v4"
},
{
"cre... | 2023-10-10 | [
[
"Wang",
"Bowen",
""
],
[
"Zhang",
"Jiaxing",
""
],
[
"Zhang",
"Ran",
""
],
[
"Li",
"Yunqin",
""
],
[
"Li",
"Liangzhi",
""
],
[
"Nakashima",
"Yuta",
""
]
] | Facade parsing stands as a pivotal computer vision task with far-reaching applications in areas like architecture, urban planning, and energy efficiency. Despite the recent success of deep learning-based methods in yielding impressive results on certain open-source datasets, their viability for real-world applications ... |
1709.07580 | Qing Ke | Qing Ke | Service Providers of the Sharing Economy: Who Joins and Who Benefits? | CSCW 2018 Online First | null | 10.1145/3134692 | null | cs.CY physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many "sharing economy" platforms, such as Uber and Airbnb, have become
increasingly popular, providing consumers with more choices and suppliers a
chance to make profit. They, however, have also brought about emerging issues
regarding regulation, tax obligation, and impact on urban environment, and have
generated hea... | [
{
"created": "Fri, 22 Sep 2017 03:12:37 GMT",
"version": "v1"
}
] | 2017-09-25 | [
[
"Ke",
"Qing",
""
]
] | Many "sharing economy" platforms, such as Uber and Airbnb, have become increasingly popular, providing consumers with more choices and suppliers a chance to make profit. They, however, have also brought about emerging issues regarding regulation, tax obligation, and impact on urban environment, and have generated heate... |
2004.02135 | Peng Jin | Xingyuan Chen, Ping Cai, Peng Jin, Hongjun Wang, Xinyu Dai, Jiajun
Chen | Adding A Filter Based on The Discriminator to Improve Unconditional Text
Generation | null | null | null | null | cs.CV cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The autoregressive language model (ALM) trained with maximum likelihood
estimation (MLE) is widely used in unconditional text generation. Due to
exposure bias, the generated texts still suffer from low quality and diversity.
This presents statistically as a discrepancy between the real text and
generated text. Some r... | [
{
"created": "Sun, 5 Apr 2020 09:34:52 GMT",
"version": "v1"
},
{
"created": "Tue, 7 Apr 2020 02:41:21 GMT",
"version": "v2"
},
{
"created": "Thu, 9 Apr 2020 02:51:41 GMT",
"version": "v3"
},
{
"created": "Tue, 19 May 2020 23:16:52 GMT",
"version": "v4"
},
{
"crea... | 2020-06-23 | [
[
"Chen",
"Xingyuan",
""
],
[
"Cai",
"Ping",
""
],
[
"Jin",
"Peng",
""
],
[
"Wang",
"Hongjun",
""
],
[
"Dai",
"Xinyu",
""
],
[
"Chen",
"Jiajun",
""
]
] | The autoregressive language model (ALM) trained with maximum likelihood estimation (MLE) is widely used in unconditional text generation. Due to exposure bias, the generated texts still suffer from low quality and diversity. This presents statistically as a discrepancy between the real text and generated text. Some res... |
1111.4343 | Yuriy Ostapov | Yuriy Ostapov | Question Answering in a Natural Language Understanding System Based on
Object-Oriented Semantics | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Algorithms of question answering in a computer system oriented on input and
logical processing of text information are presented. A knowledge domain under
consideration is social behavior of a person. A database of the system includes
an internal representation of natural language sentences and supplemental
informati... | [
{
"created": "Fri, 18 Nov 2011 12:31:49 GMT",
"version": "v1"
}
] | 2011-11-21 | [
[
"Ostapov",
"Yuriy",
""
]
] | Algorithms of question answering in a computer system oriented on input and logical processing of text information are presented. A knowledge domain under consideration is social behavior of a person. A database of the system includes an internal representation of natural language sentences and supplemental information... |
1907.04025 | Erwin Quiring | Erwin Quiring, Matthias Kirchner, Konrad Rieck | On the Security and Applicability of Fragile Camera Fingerprints | ESORICS 2019 | null | null | null | cs.MM cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Camera sensor noise is one of the most reliable device characteristics in
digital image forensics, enabling the unique linkage of images to digital
cameras. This so-called camera fingerprint gives rise to different
applications, such as image forensics and authentication. However, if images
are publicly available, an... | [
{
"created": "Tue, 9 Jul 2019 07:31:23 GMT",
"version": "v1"
}
] | 2019-07-10 | [
[
"Quiring",
"Erwin",
""
],
[
"Kirchner",
"Matthias",
""
],
[
"Rieck",
"Konrad",
""
]
] | Camera sensor noise is one of the most reliable device characteristics in digital image forensics, enabling the unique linkage of images to digital cameras. This so-called camera fingerprint gives rise to different applications, such as image forensics and authentication. However, if images are publicly available, an a... |
1601.01612 | Wieslaw Marszalek | Wieslaw Marszalek | Memristive fingerprints of electric arcs | null | null | null | null | cs.ET | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We discuss the memristive fingerprints of the hybrid Cassie-Mayr model of
electric arcs. In particular, it is shown that (i) the voltage-current
characteristic of the model has the pinched hysteresis nature, (ii) the voltage
and current zero crossings occur at the same instants, and, (iii) when the
frequency $f$ of t... | [
{
"created": "Thu, 31 Dec 2015 00:59:32 GMT",
"version": "v1"
}
] | 2016-01-08 | [
[
"Marszalek",
"Wieslaw",
""
]
] | We discuss the memristive fingerprints of the hybrid Cassie-Mayr model of electric arcs. In particular, it is shown that (i) the voltage-current characteristic of the model has the pinched hysteresis nature, (ii) the voltage and current zero crossings occur at the same instants, and, (iii) when the frequency $f$ of the... |
2312.05549 | Guoxian Yu | Jiaxuan Liang, Jun Wang, Guoxian Yu, Shuyin Xia, Guoyin Wang | Multi-granularity Causal Structure Learning | Accepted by the Thirty-Eighth AAAI Conference on Artificial
Intelligence (AAAI2024) | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Unveil, model, and comprehend the causal mechanisms underpinning natural
phenomena stand as fundamental endeavors across myriad scientific disciplines.
Meanwhile, new knowledge emerges when discovering causal relationships from
data. Existing causal learning algorithms predominantly focus on the isolated
effects of v... | [
{
"created": "Sat, 9 Dec 2023 11:35:25 GMT",
"version": "v1"
},
{
"created": "Tue, 12 Dec 2023 13:06:33 GMT",
"version": "v2"
}
] | 2023-12-13 | [
[
"Liang",
"Jiaxuan",
""
],
[
"Wang",
"Jun",
""
],
[
"Yu",
"Guoxian",
""
],
[
"Xia",
"Shuyin",
""
],
[
"Wang",
"Guoyin",
""
]
] | Unveil, model, and comprehend the causal mechanisms underpinning natural phenomena stand as fundamental endeavors across myriad scientific disciplines. Meanwhile, new knowledge emerges when discovering causal relationships from data. Existing causal learning algorithms predominantly focus on the isolated effects of var... |
2304.09993 | Xinwu Chen | Xinwu Chen, Shuai Han, and Hai Jiang | Performance of A Reconfigurable Intelligent Surface Controlled by An
Illegitimate User | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we investigate how an illegitimate user can use a
reconfigurable intelligent surface (RIS) to maximally degrade the secrecy
performance of the legitimate system. We first consider the case when the
illegitimate user performs eavesdropping only. A problem is formulated to
minimize the system secrecy rat... | [
{
"created": "Wed, 19 Apr 2023 21:59:56 GMT",
"version": "v1"
}
] | 2023-04-21 | [
[
"Chen",
"Xinwu",
""
],
[
"Han",
"Shuai",
""
],
[
"Jiang",
"Hai",
""
]
] | In this paper, we investigate how an illegitimate user can use a reconfigurable intelligent surface (RIS) to maximally degrade the secrecy performance of the legitimate system. We first consider the case when the illegitimate user performs eavesdropping only. A problem is formulated to minimize the system secrecy rate ... |
2109.04532 | William Bergeron | Bill Bergeron, Matthew Hubbell, Dylan Sequeira, Winter Williams,
William Arcand, David Bestor, Chansup, Byun, Vijay Gadepally, Michael Houle,
Michael Jones, Anna Klien, Peter Michaleas, Lauren Milechin, Julie Mullen
Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee,
Jeremy Kepner | 3D Real-Time Supercomputer Monitoring | null | null | 10.1109/HPEC49654.2021.9622787 | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Supercomputers are complex systems producing vast quantities of performance
data from multiple sources and of varying types. Performance data from each of
the thousands of nodes in a supercomputer tracks multiple forms of storage,
memory, networks, processors, and accelerators. Optimization of application
performance... | [
{
"created": "Thu, 9 Sep 2021 19:46:29 GMT",
"version": "v1"
}
] | 2022-08-23 | [
[
"Bergeron",
"Bill",
""
],
[
"Hubbell",
"Matthew",
""
],
[
"Sequeira",
"Dylan",
""
],
[
"Williams",
"Winter",
""
],
[
"Arcand",
"William",
""
],
[
"Bestor",
"David",
""
],
[
"Chansup",
"",
""
],
[
"B... | Supercomputers are complex systems producing vast quantities of performance data from multiple sources and of varying types. Performance data from each of the thousands of nodes in a supercomputer tracks multiple forms of storage, memory, networks, processors, and accelerators. Optimization of application performance i... |
2108.12684 | Zihan Yin | Humberto Inzunza Velarde, Jheel Nagaria, Zihan Yin, Ajey Jacob,
Akhilesh Jaiswal | Intrinsic Spike Timing Dependent Plasticity in Stochastic Magnetic
Tunnel Junctions Mediated by Heat Dynamics | null | null | null | null | cs.ET cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The quest for highly efficient cognitive computing has led to extensive
research interest for the field of neuromorphic computing. Neuromorphic
computing aims to mimic the behavior of biological neurons and synapses using
solid-state devices and circuits. Among various approaches, emerging
non-volatile memory technol... | [
{
"created": "Sat, 28 Aug 2021 18:02:01 GMT",
"version": "v1"
}
] | 2021-08-31 | [
[
"Velarde",
"Humberto Inzunza",
""
],
[
"Nagaria",
"Jheel",
""
],
[
"Yin",
"Zihan",
""
],
[
"Jacob",
"Ajey",
""
],
[
"Jaiswal",
"Akhilesh",
""
]
] | The quest for highly efficient cognitive computing has led to extensive research interest for the field of neuromorphic computing. Neuromorphic computing aims to mimic the behavior of biological neurons and synapses using solid-state devices and circuits. Among various approaches, emerging non-volatile memory technolog... |
1604.00602 | Victor Shia | Victor Shia, Talia Moore, Ruzena Bajcsy, Ram Vasudevan | Convex Computation of the Basin of Stability to Measure the Likelihood
of Falling: A Case Study on the Sit-to-Stand Task | 11 pages, 9 figures | null | null | null | cs.SY cs.RO math.DS math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Locomotion in the real world involves unexpected perturbations, and therefore
requires strategies to maintain stability to successfully execute desired
behaviours. Ensuring the safety of locomoting systems therefore necessitates a
quantitative metric for stability. Due to the difficulty of determining the set
of pert... | [
{
"created": "Sun, 3 Apr 2016 07:01:19 GMT",
"version": "v1"
}
] | 2016-04-05 | [
[
"Shia",
"Victor",
""
],
[
"Moore",
"Talia",
""
],
[
"Bajcsy",
"Ruzena",
""
],
[
"Vasudevan",
"Ram",
""
]
] | Locomotion in the real world involves unexpected perturbations, and therefore requires strategies to maintain stability to successfully execute desired behaviours. Ensuring the safety of locomoting systems therefore necessitates a quantitative metric for stability. Due to the difficulty of determining the set of pertur... |
1412.1069 | Wolfgang Gatterbauer | Wolfgang Gatterbauer, Dan Suciu | Approximate Lifted Inference with Probabilistic Databases | 12 pages, 5 figures, pre-print for a paper appearing in VLDB 2015.
arXiv admin note: text overlap with arXiv:1310.6257 | null | null | null | cs.DB cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a new approach for approximate evaluation of #P-hard
queries with probabilistic databases. In our approach, every query is evaluated
entirely in the database engine by evaluating a fixed number of query plans,
each providing an upper bound on the true probability, then taking their
minimum. We pro... | [
{
"created": "Tue, 2 Dec 2014 20:58:20 GMT",
"version": "v1"
}
] | 2014-12-03 | [
[
"Gatterbauer",
"Wolfgang",
""
],
[
"Suciu",
"Dan",
""
]
] | This paper proposes a new approach for approximate evaluation of #P-hard queries with probabilistic databases. In our approach, every query is evaluated entirely in the database engine by evaluating a fixed number of query plans, each providing an upper bound on the true probability, then taking their minimum. We provi... |
2209.09624 | Tong Yao | Tong Yao and Shreyas Sundaram | Robust Online and Distributed Mean Estimation Under Adversarial Data
Corruption | 8 pages, 5 figures, 61st IEEE Conference on Decision and Control
(CDC) | null | null | null | cs.CR cs.LG cs.MA cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study robust mean estimation in an online and distributed scenario in the
presence of adversarial data attacks. At each time step, each agent in a
network receives a potentially corrupted data point, where the data points were
originally independent and identically distributed samples of a random
variable. We prop... | [
{
"created": "Sat, 17 Sep 2022 16:36:21 GMT",
"version": "v1"
}
] | 2022-09-21 | [
[
"Yao",
"Tong",
""
],
[
"Sundaram",
"Shreyas",
""
]
] | We study robust mean estimation in an online and distributed scenario in the presence of adversarial data attacks. At each time step, each agent in a network receives a potentially corrupted data point, where the data points were originally independent and identically distributed samples of a random variable. We propos... |
2402.09757 | Gobinda Ghosh I | Gobinda Ghosh, Sudhan Majhi, Subhabrata Paul | Construction of CCC and ZCCS Through Additive Characters Over Galois
Field | null | null | null | null | cs.IT math.CO math.IT | http://creativecommons.org/licenses/by/4.0/ | The rapid progression in wireless communication technologies, especially in
multicarrier code-division multiple access (MC-CDMA), there is a need of
advanced code construction methods. Traditional approaches, mainly based on
generalized Boolean functions, have limitations in code length versatility.
This paper introd... | [
{
"created": "Thu, 15 Feb 2024 07:11:10 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Mar 2024 16:56:02 GMT",
"version": "v2"
}
] | 2024-03-19 | [
[
"Ghosh",
"Gobinda",
""
],
[
"Majhi",
"Sudhan",
""
],
[
"Paul",
"Subhabrata",
""
]
] | The rapid progression in wireless communication technologies, especially in multicarrier code-division multiple access (MC-CDMA), there is a need of advanced code construction methods. Traditional approaches, mainly based on generalized Boolean functions, have limitations in code length versatility. This paper introduc... |
1101.2018 | Ruijia Liao | Ruijia Liao | The Complexity of 3SAT_N and the P versus NP Problem | 26 pages | null | null | null | cs.CC | http://creativecommons.org/licenses/by-nc-sa/3.0/ | We introduce the NP-complete problem 3SAT_N and extend Tovey's results to a
classification theorem for this problem. This theorem leads us to generalize
the concept of truth assignments for SAT to aggressive truth assignments for
3SAT_N. We introduce the concept of a set compatible with the P and NP problem,
and prov... | [
{
"created": "Tue, 11 Jan 2011 04:27:55 GMT",
"version": "v1"
},
{
"created": "Mon, 19 Dec 2011 03:21:35 GMT",
"version": "v2"
},
{
"created": "Mon, 10 Sep 2012 03:50:55 GMT",
"version": "v3"
},
{
"created": "Mon, 11 Nov 2013 03:19:21 GMT",
"version": "v4"
}
] | 2013-11-12 | [
[
"Liao",
"Ruijia",
""
]
] | We introduce the NP-complete problem 3SAT_N and extend Tovey's results to a classification theorem for this problem. This theorem leads us to generalize the concept of truth assignments for SAT to aggressive truth assignments for 3SAT_N. We introduce the concept of a set compatible with the P and NP problem, and prove ... |
1808.08186 | Kumar Sankar Ray | Rajesh Misra, Kumar S. Ray | Dual approach for object tracking based on optical flow and swarm
intelligence | null | null | null | null | cs.CV cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In Computer Vision,object tracking is a very old and complex problem.Though
there are several existing algorithms for object tracking, still there are
several challenges remain to be solved. For instance, variation of illumination
of light, noise, occlusion, sudden start and stop of moving object, shading
etc,make th... | [
{
"created": "Wed, 15 Aug 2018 14:17:45 GMT",
"version": "v1"
},
{
"created": "Sun, 1 Aug 2021 06:52:15 GMT",
"version": "v2"
}
] | 2021-08-03 | [
[
"Misra",
"Rajesh",
""
],
[
"Ray",
"Kumar S.",
""
]
] | In Computer Vision,object tracking is a very old and complex problem.Though there are several existing algorithms for object tracking, still there are several challenges remain to be solved. For instance, variation of illumination of light, noise, occlusion, sudden start and stop of moving object, shading etc,make the ... |
2111.05207 | Bradley Bell M | Bradley M. Bell and Kasper Kristensen | Computing Sparse Jacobians and Hessians Using Algorithmic
Differentiation | 25 pages, no figures | null | null | null | cs.MS cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Stochastic scientific models and machine learning optimization estimators
have a large number of variables; hence computing large sparse Jacobians and
Hessians is important. Algorithmic differentiation (AD) greatly reduces the
programming effort required to obtain the sparsity patterns and values for
these matrices. ... | [
{
"created": "Tue, 9 Nov 2021 15:33:30 GMT",
"version": "v1"
}
] | 2021-11-10 | [
[
"Bell",
"Bradley M.",
""
],
[
"Kristensen",
"Kasper",
""
]
] | Stochastic scientific models and machine learning optimization estimators have a large number of variables; hence computing large sparse Jacobians and Hessians is important. Algorithmic differentiation (AD) greatly reduces the programming effort required to obtain the sparsity patterns and values for these matrices. We... |
1511.07211 | Adish Singla | Adish Singla, Sebastian Tschiatschek, Andreas Krause | Noisy Submodular Maximization via Adaptive Sampling with Applications to
Crowdsourced Image Collection Summarization | Extended version of AAAI'16 paper | null | null | null | cs.AI cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We address the problem of maximizing an unknown submodular function that can
only be accessed via noisy evaluations. Our work is motivated by the task of
summarizing content, e.g., image collections, by leveraging users' feedback in
form of clicks or ratings. For summarization tasks with the goal of maximizing
covera... | [
{
"created": "Mon, 23 Nov 2015 13:19:05 GMT",
"version": "v1"
},
{
"created": "Tue, 1 Dec 2015 09:49:35 GMT",
"version": "v2"
}
] | 2015-12-02 | [
[
"Singla",
"Adish",
""
],
[
"Tschiatschek",
"Sebastian",
""
],
[
"Krause",
"Andreas",
""
]
] | We address the problem of maximizing an unknown submodular function that can only be accessed via noisy evaluations. Our work is motivated by the task of summarizing content, e.g., image collections, by leveraging users' feedback in form of clicks or ratings. For summarization tasks with the goal of maximizing coverage... |
2110.08771 | Seyed Jalaleddin Mousavirad | Seyed Vahid Moravvej, Seyed Jalaleddin Mousavirad, Mahshid Helali
Moghadam, Mehrdad Saadatmand | An LSTM-based Plagiarism Detection via Attention Mechanism and a
Population-based Approach for Pre-Training Parameters with imbalanced Classes | 12 pages, The 28th International Conference on Neural Information
Processing (ICONIP2021), BALI, Indonesia | null | null | null | cs.LG cs.AI cs.NE | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Plagiarism is one of the leading problems in academic and industrial
environments, which its goal is to find the similar items in a typical document
or source code. This paper proposes an architecture based on a Long Short-Term
Memory (LSTM) and attention mechanism called LSTM-AM-ABC boosted by a
population-based app... | [
{
"created": "Sun, 17 Oct 2021 09:20:03 GMT",
"version": "v1"
}
] | 2021-10-19 | [
[
"Moravvej",
"Seyed Vahid",
""
],
[
"Mousavirad",
"Seyed Jalaleddin",
""
],
[
"Moghadam",
"Mahshid Helali",
""
],
[
"Saadatmand",
"Mehrdad",
""
]
] | Plagiarism is one of the leading problems in academic and industrial environments, which its goal is to find the similar items in a typical document or source code. This paper proposes an architecture based on a Long Short-Term Memory (LSTM) and attention mechanism called LSTM-AM-ABC boosted by a population-based appro... |
2103.13041 | Haoyu Ma | Haoyu Ma, Xiangru Lin, Zifeng Wu, Yizhou Yu | Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric
Alignment and Category-Center Regularization | Accepted to appear in CVPR2021 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Unsupervised domain adaptation (UDA) in semantic segmentation is a
fundamental yet promising task relieving the need for laborious annotation
works. However, the domain shifts/discrepancies problem in this task compromise
the final segmentation performance. Based on our observation, the main causes
of the domain shif... | [
{
"created": "Wed, 24 Mar 2021 08:04:08 GMT",
"version": "v1"
}
] | 2021-03-25 | [
[
"Ma",
"Haoyu",
""
],
[
"Lin",
"Xiangru",
""
],
[
"Wu",
"Zifeng",
""
],
[
"Yu",
"Yizhou",
""
]
] | Unsupervised domain adaptation (UDA) in semantic segmentation is a fundamental yet promising task relieving the need for laborious annotation works. However, the domain shifts/discrepancies problem in this task compromise the final segmentation performance. Based on our observation, the main causes of the domain shifts... |
2204.06403 | Xiaowei Wang | Xinyi Yu, Xiaowei Wang, Jintao Rong, Mingyang Zhang, Linlin Ou | Efficient Re-parameterization Operations Search for Easy-to-Deploy
Network Based on Directional Evolutionary Strategy | 21pages, 8figures | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Structural re-parameterization (Rep) methods has achieved significant
performance improvement on traditional convolutional network. Most current Rep
methods rely on prior knowledge to select the reparameterization operations.
However, the performance of architecture is limited by the type of operations
and prior know... | [
{
"created": "Wed, 13 Apr 2022 14:07:20 GMT",
"version": "v1"
},
{
"created": "Sun, 3 Jul 2022 05:22:35 GMT",
"version": "v2"
}
] | 2022-07-05 | [
[
"Yu",
"Xinyi",
""
],
[
"Wang",
"Xiaowei",
""
],
[
"Rong",
"Jintao",
""
],
[
"Zhang",
"Mingyang",
""
],
[
"Ou",
"Linlin",
""
]
] | Structural re-parameterization (Rep) methods has achieved significant performance improvement on traditional convolutional network. Most current Rep methods rely on prior knowledge to select the reparameterization operations. However, the performance of architecture is limited by the type of operations and prior knowle... |
2209.08615 | Teodora Baluta | Teodora Baluta and Shiqi Shen and S. Hitarth and Shruti Tople and
Prateek Saxena | Membership Inference Attacks and Generalization: A Causal Perspective | 26 pages, 15 figures; added CC-license block icons and links, typos
corrected, added reference to Github | null | 10.1145/3548606.3560694 | null | cs.LG cs.AI cs.CR | http://creativecommons.org/licenses/by/4.0/ | Membership inference (MI) attacks highlight a privacy weakness in present
stochastic training methods for neural networks. It is not well understood,
however, why they arise. Are they a natural consequence of imperfect
generalization only? Which underlying causes should we address during training
to mitigate these at... | [
{
"created": "Sun, 18 Sep 2022 17:31:11 GMT",
"version": "v1"
},
{
"created": "Sun, 30 Oct 2022 23:45:41 GMT",
"version": "v2"
}
] | 2022-11-01 | [
[
"Baluta",
"Teodora",
""
],
[
"Shen",
"Shiqi",
""
],
[
"Hitarth",
"S.",
""
],
[
"Tople",
"Shruti",
""
],
[
"Saxena",
"Prateek",
""
]
] | Membership inference (MI) attacks highlight a privacy weakness in present stochastic training methods for neural networks. It is not well understood, however, why they arise. Are they a natural consequence of imperfect generalization only? Which underlying causes should we address during training to mitigate these atta... |
1402.4029 | Ella Gale | Deborah Gater, Attya Iqbal, Jeffrey Davey and Ella Gale | Connecting Spiking Neurons to a Spiking Memristor Network Changes the
Memristor Dynamics | Conference paper, 4 pages | Proceedings of the International Conference on Electronics,
Circuits and Systems (ICECS) 2013, Abu Dhabi, UAE, December 8th-11th,
534--537 | null | null | cs.ET cs.NE physics.bio-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Memristors have been suggested as neuromorphic computing elements. Spike-time
dependent plasticity and the Hodgkin-Huxley model of the neuron have both been
modelled effectively by memristor theory. The d.c. response of the memristor is
a current spike. Based on these three facts we suggest that memristors are
well-p... | [
{
"created": "Mon, 17 Feb 2014 15:23:18 GMT",
"version": "v1"
}
] | 2014-02-18 | [
[
"Gater",
"Deborah",
""
],
[
"Iqbal",
"Attya",
""
],
[
"Davey",
"Jeffrey",
""
],
[
"Gale",
"Ella",
""
]
] | Memristors have been suggested as neuromorphic computing elements. Spike-time dependent plasticity and the Hodgkin-Huxley model of the neuron have both been modelled effectively by memristor theory. The d.c. response of the memristor is a current spike. Based on these three facts we suggest that memristors are well-pla... |
1810.10667 | Amirreza Shaban | Amirreza Shaban, Ching-An Cheng, Nathan Hatch, Byron Boots | Truncated Back-propagation for Bilevel Optimization | null | The International Conference on Artificial Intelligence and
Statistics (AISTATS) 2019 | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Bilevel optimization has been recently revisited for designing and analyzing
algorithms in hyperparameter tuning and meta learning tasks. However, due to
its nested structure, evaluating exact gradients for high-dimensional problems
is computationally challenging. One heuristic to circumvent this difficulty is
to use... | [
{
"created": "Thu, 25 Oct 2018 00:49:36 GMT",
"version": "v1"
},
{
"created": "Fri, 5 Apr 2019 19:49:06 GMT",
"version": "v2"
}
] | 2019-04-09 | [
[
"Shaban",
"Amirreza",
""
],
[
"Cheng",
"Ching-An",
""
],
[
"Hatch",
"Nathan",
""
],
[
"Boots",
"Byron",
""
]
] | Bilevel optimization has been recently revisited for designing and analyzing algorithms in hyperparameter tuning and meta learning tasks. However, due to its nested structure, evaluating exact gradients for high-dimensional problems is computationally challenging. One heuristic to circumvent this difficulty is to use t... |
2311.05604 | Vladislav Golyanik | Lakshika Rathi and Edith Tretschk and Christian Theobalt and Rishabh
Dabral and Vladislav Golyanik | 3D-QAE: Fully Quantum Auto-Encoding of 3D Point Clouds | 20 pages, 11 figures, 5 tables | British Machine Vision Conference (BMVC) 2023 | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Existing methods for learning 3D representations are deep neural networks
trained and tested on classical hardware. Quantum machine learning
architectures, despite their theoretically predicted advantages in terms of
speed and the representational capacity, have so far not been considered for
this problem nor for tas... | [
{
"created": "Thu, 9 Nov 2023 18:58:33 GMT",
"version": "v1"
}
] | 2023-11-10 | [
[
"Rathi",
"Lakshika",
""
],
[
"Tretschk",
"Edith",
""
],
[
"Theobalt",
"Christian",
""
],
[
"Dabral",
"Rishabh",
""
],
[
"Golyanik",
"Vladislav",
""
]
] | Existing methods for learning 3D representations are deep neural networks trained and tested on classical hardware. Quantum machine learning architectures, despite their theoretically predicted advantages in terms of speed and the representational capacity, have so far not been considered for this problem nor for tasks... |
2201.02248 | Josef Tkadlec | Joachim Brendborg, Panagiotis Karras, Andreas Pavlogiannis, Asger
Ullersted Rasmussen, Josef Tkadlec | Fixation Maximization in the Positional Moran Process | 11 pages, 6 figures, to appear at AAAI 2022 | null | null | null | cs.DS cs.CC q-bio.PE | http://creativecommons.org/licenses/by/4.0/ | The Moran process is a classic stochastic process that models invasion
dynamics on graphs. A single "mutant" (e.g., a new opinion, strain, social
trait etc.) invades a population of residents spread over the nodes of a graph.
The mutant fitness advantage $\delta\geq 0$ determines how aggressively mutants
propagate to... | [
{
"created": "Thu, 6 Jan 2022 21:04:41 GMT",
"version": "v1"
},
{
"created": "Sun, 27 Mar 2022 00:18:20 GMT",
"version": "v2"
},
{
"created": "Mon, 25 Apr 2022 10:18:07 GMT",
"version": "v3"
}
] | 2022-04-26 | [
[
"Brendborg",
"Joachim",
""
],
[
"Karras",
"Panagiotis",
""
],
[
"Pavlogiannis",
"Andreas",
""
],
[
"Rasmussen",
"Asger Ullersted",
""
],
[
"Tkadlec",
"Josef",
""
]
] | The Moran process is a classic stochastic process that models invasion dynamics on graphs. A single "mutant" (e.g., a new opinion, strain, social trait etc.) invades a population of residents spread over the nodes of a graph. The mutant fitness advantage $\delta\geq 0$ determines how aggressively mutants propagate to t... |
1802.01073 | Bora Moon | Bora Moon | Weighted Hamming Metric Structures | 9 pages | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A weighted Hamming metric is introduced in [4] and it showed that the binary
generalized Goppa code is a perfect code in some weighted Hamming metric. In
this paper, we study the weight structures which admit the binary Hamming code
and the extended binary Hamming code to be perfect codes in the weighted
Hamming metr... | [
{
"created": "Sun, 4 Feb 2018 05:27:11 GMT",
"version": "v1"
}
] | 2018-02-06 | [
[
"Moon",
"Bora",
""
]
] | A weighted Hamming metric is introduced in [4] and it showed that the binary generalized Goppa code is a perfect code in some weighted Hamming metric. In this paper, we study the weight structures which admit the binary Hamming code and the extended binary Hamming code to be perfect codes in the weighted Hamming metric... |
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