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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2302.02345 | Botong Zhu | Botong Zhu and Huobin Tan | VuLASTE: Long Sequence Model with Abstract Syntax Tree Embedding for
vulnerability Detection | null | null | null | null | cs.SE cs.AI | http://creativecommons.org/licenses/by-sa/4.0/ | In this paper, we build a model named VuLASTE, which regards vulnerability
detection as a special text classification task. To solve the vocabulary
explosion problem, VuLASTE uses a byte level BPE algorithm from natural
language processing. In VuLASTE, a new AST path embedding is added to represent
source code nestin... | [
{
"created": "Sun, 5 Feb 2023 09:17:02 GMT",
"version": "v1"
}
] | 2023-02-07 | [
[
"Zhu",
"Botong",
""
],
[
"Tan",
"Huobin",
""
]
] | In this paper, we build a model named VuLASTE, which regards vulnerability detection as a special text classification task. To solve the vocabulary explosion problem, VuLASTE uses a byte level BPE algorithm from natural language processing. In VuLASTE, a new AST path embedding is added to represent source code nesting ... |
2009.07717 | Sara Ahmed | Sara Atito Ali Ahmed, Berrin Yanikoglu | Relative Attribute Classification with Deep Rank SVM | null | null | 10.1007/978-3-030-68790-8_51 | null | cs.CV cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Relative attributes indicate the strength of a particular attribute between
image pairs. We introduce a deep Siamese network with rank SVM loss function,
called Deep Rank SVM (DRSVM), in order to decide which one of a pair of images
has a stronger presence of a specific attribute. The network is trained in an
end-to-... | [
{
"created": "Wed, 9 Sep 2020 09:21:39 GMT",
"version": "v1"
}
] | 2021-11-16 | [
[
"Ahmed",
"Sara Atito Ali",
""
],
[
"Yanikoglu",
"Berrin",
""
]
] | Relative attributes indicate the strength of a particular attribute between image pairs. We introduce a deep Siamese network with rank SVM loss function, called Deep Rank SVM (DRSVM), in order to decide which one of a pair of images has a stronger presence of a specific attribute. The network is trained in an end-to-en... |
1609.09541 | H\'ector P\'erez L\'opez-Portillo | P\'erez L\'opez-Portillo, H\'ector, V\'azquez Gonz\'alez, Edgar
Ren\'e, Romero Hidalgo, Jorge Alberto | Knowledge management metrics for Public Organizations: A literature
review-based proposal | conference proceedings | null | 10.13140/RG.2.2.24281.11368/1 | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Knowledge Management (KM) is a relatively new phenomenon that appears in the
field of Public Sector Organizations (PSO) bringing new paradigms of
organizational management, challenges, risks and opportunities for its
implementation, development and evaluation. KM can be seen as a systematic and
deliberate effort to c... | [
{
"created": "Thu, 29 Sep 2016 22:36:04 GMT",
"version": "v1"
}
] | 2016-10-03 | [
[
"López-Portillo",
"Pérez",
""
],
[
"Héctor",
"",
""
],
[
"González",
"Vázquez",
""
],
[
"René",
"Edgar",
""
],
[
"Hidalgo",
"Romero",
""
],
[
"Alberto",
"Jorge",
""
]
] | Knowledge Management (KM) is a relatively new phenomenon that appears in the field of Public Sector Organizations (PSO) bringing new paradigms of organizational management, challenges, risks and opportunities for its implementation, development and evaluation. KM can be seen as a systematic and deliberate effort to coo... |
2404.15971 | Xin Zhang | Xin Zhang, Wenwen Liu | Boosting Architectural Generation via Prompts: Report | Brief report of Achitectural prompts | null | null | null | cs.HC | http://creativecommons.org/licenses/by/4.0/ | In the realm of AI architectural design, the importance of prompts is
becoming increasingly prominent. With advancements in artificial intelligence
and large-scale model technology, more design tasks are being delegated to
machine learning algorithms. This necessitates a method for designers to guide
algorithms in pr... | [
{
"created": "Wed, 24 Apr 2024 16:44:25 GMT",
"version": "v1"
}
] | 2024-04-25 | [
[
"Zhang",
"Xin",
""
],
[
"Liu",
"Wenwen",
""
]
] | In the realm of AI architectural design, the importance of prompts is becoming increasingly prominent. With advancements in artificial intelligence and large-scale model technology, more design tasks are being delegated to machine learning algorithms. This necessitates a method for designers to guide algorithms in prod... |
1806.10174 | Emilia Apostolova PhD | Tony Wang, Tom Velez, Emilia Apostolova, Tim Tschampel, Thuy L. Ngo,
Joy Hardison | Semantically Enhanced Dynamic Bayesian Network for Detecting Sepsis
Mortality Risk in ICU Patients with Infection | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Although timely sepsis diagnosis and prompt interventions in Intensive Care
Unit (ICU) patients are associated with reduced mortality, early clinical
recognition is frequently impeded by non-specific signs of infection and
failure to detect signs of sepsis-induced organ dysfunction in a constellation
of dynamically c... | [
{
"created": "Tue, 26 Jun 2018 19:09:19 GMT",
"version": "v1"
}
] | 2018-06-28 | [
[
"Wang",
"Tony",
""
],
[
"Velez",
"Tom",
""
],
[
"Apostolova",
"Emilia",
""
],
[
"Tschampel",
"Tim",
""
],
[
"Ngo",
"Thuy L.",
""
],
[
"Hardison",
"Joy",
""
]
] | Although timely sepsis diagnosis and prompt interventions in Intensive Care Unit (ICU) patients are associated with reduced mortality, early clinical recognition is frequently impeded by non-specific signs of infection and failure to detect signs of sepsis-induced organ dysfunction in a constellation of dynamically cha... |
2301.03128 | Aria Nosratinia | Heping Wan, Anders Host-Madsen, Aria Nosratinia | Compress-and-Forward via Multilevel Coding and Trellis Coded
Quantization | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Compress-forward (CF) relays can improve communication rates even when the
relay cannot decode the source signal. Efficient implementation of CF is a
topic of contemporary interest, in part because of its potential impact on
wireless technologies such as cloud-RAN. There exists a gap between the
performance of CF imp... | [
{
"created": "Mon, 9 Jan 2023 00:33:56 GMT",
"version": "v1"
}
] | 2023-01-10 | [
[
"Wan",
"Heping",
""
],
[
"Host-Madsen",
"Anders",
""
],
[
"Nosratinia",
"Aria",
""
]
] | Compress-forward (CF) relays can improve communication rates even when the relay cannot decode the source signal. Efficient implementation of CF is a topic of contemporary interest, in part because of its potential impact on wireless technologies such as cloud-RAN. There exists a gap between the performance of CF imple... |
2404.19154 | Ning An | Ning An, Lei Hei, Yong Jiang, Weiping Meng, Jingjing Hu, Boran Huang,
Feiliang Ren | RTF: Region-based Table Filling Method for Relational Triple Extraction | Rejected by EMNLP 2023 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Relational triple extraction is crucial work for the automatic construction
of knowledge graphs. Existing methods only construct shallow representations
from a token or token pair-level. However, previous works ignore local spatial
dependencies of relational triples, resulting in a weakness of entity pair
boundary de... | [
{
"created": "Mon, 29 Apr 2024 23:36:38 GMT",
"version": "v1"
},
{
"created": "Thu, 13 Jun 2024 16:26:15 GMT",
"version": "v2"
}
] | 2024-06-14 | [
[
"An",
"Ning",
""
],
[
"Hei",
"Lei",
""
],
[
"Jiang",
"Yong",
""
],
[
"Meng",
"Weiping",
""
],
[
"Hu",
"Jingjing",
""
],
[
"Huang",
"Boran",
""
],
[
"Ren",
"Feiliang",
""
]
] | Relational triple extraction is crucial work for the automatic construction of knowledge graphs. Existing methods only construct shallow representations from a token or token pair-level. However, previous works ignore local spatial dependencies of relational triples, resulting in a weakness of entity pair boundary dete... |
2305.08063 | Jingbo Liu | Jingbo Liu | From Soft-Minoration to Information-Constrained Optimal Transport and
Spiked Tensor Models | ISIT 2023 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Let $P_Z$ be a given distribution on $\mathbb{R}^n$. For any
$y\in\mathbb{R}^n$, we may interpret
$\rho(y):=\ln\mathbb{E}[e^{\left<y,Z\right>}]$ as a soft-max of
$\left<y,Z\right>$. We explore lower bounds on $\mathbb{E}[\rho(Y)]$ in terms
of the minimum mutual information $I(Z,\bar{Z})$ over $P_{Z\bar{Z}}$ which is ... | [
{
"created": "Sun, 14 May 2023 04:20:04 GMT",
"version": "v1"
}
] | 2023-05-16 | [
[
"Liu",
"Jingbo",
""
]
] | Let $P_Z$ be a given distribution on $\mathbb{R}^n$. For any $y\in\mathbb{R}^n$, we may interpret $\rho(y):=\ln\mathbb{E}[e^{\left<y,Z\right>}]$ as a soft-max of $\left<y,Z\right>$. We explore lower bounds on $\mathbb{E}[\rho(Y)]$ in terms of the minimum mutual information $I(Z,\bar{Z})$ over $P_{Z\bar{Z}}$ which is a ... |
1610.09530 | Ying Cui | Chengjun Guo, Ying Cui, Derrick Wing Kwan Ng and Zhi Liu | Multi-Quality Multicast Beamforming based on Scalable Video Coding | 30 pages, submitted to GLOBECOM 2017 and TCOM | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we consider multi-quality multicast beamforming of a video
stream from a multi-antenna base station (BS) to multiple single-antenna users
receiving different qualities of the same video stream, via scalable video
coding (SVC). Leveraging the layered structure of SVC and exploiting
superposition coding ... | [
{
"created": "Sat, 29 Oct 2016 15:27:08 GMT",
"version": "v1"
},
{
"created": "Sat, 15 Jul 2017 00:47:31 GMT",
"version": "v2"
}
] | 2017-07-18 | [
[
"Guo",
"Chengjun",
""
],
[
"Cui",
"Ying",
""
],
[
"Ng",
"Derrick Wing Kwan",
""
],
[
"Liu",
"Zhi",
""
]
] | In this paper, we consider multi-quality multicast beamforming of a video stream from a multi-antenna base station (BS) to multiple single-antenna users receiving different qualities of the same video stream, via scalable video coding (SVC). Leveraging the layered structure of SVC and exploiting superposition coding (S... |
1910.07169 | Lanlan Liu | Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li | Generative Modeling for Small-Data Object Detection | Published in ICCV 2019 | null | null | null | cs.CV cs.LG eess.IV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper explores object detection in the small data regime, where only a
limited number of annotated bounding boxes are available due to data rarity and
annotation expense. This is a common challenge today with machine learning
being applied to many new tasks where obtaining training data is more
challenging, e.g.... | [
{
"created": "Wed, 16 Oct 2019 04:57:25 GMT",
"version": "v1"
}
] | 2019-10-17 | [
[
"Liu",
"Lanlan",
""
],
[
"Muelly",
"Michael",
""
],
[
"Deng",
"Jia",
""
],
[
"Pfister",
"Tomas",
""
],
[
"Li",
"Li-Jia",
""
]
] | This paper explores object detection in the small data regime, where only a limited number of annotated bounding boxes are available due to data rarity and annotation expense. This is a common challenge today with machine learning being applied to many new tasks where obtaining training data is more challenging, e.g. i... |
1905.08022 | Caifa Zhou | Caifa Zhou and Andreas Wieser | An iterative scheme for feature based positioning using a weighted
dissimilarity measure | 18 pages, 9 figures, and 1 table | null | null | null | cs.LG stat.AP stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose an iterative scheme for feature-based positioning using a new
weighted dissimilarity measure with the goal of reducing the impact of large
errors among the measured or modeled features. The weights are computed from
the location-dependent standard deviations of the features and stored as part
of the refere... | [
{
"created": "Mon, 20 May 2019 12:12:38 GMT",
"version": "v1"
},
{
"created": "Thu, 30 May 2019 14:56:24 GMT",
"version": "v2"
}
] | 2019-05-31 | [
[
"Zhou",
"Caifa",
""
],
[
"Wieser",
"Andreas",
""
]
] | We propose an iterative scheme for feature-based positioning using a new weighted dissimilarity measure with the goal of reducing the impact of large errors among the measured or modeled features. The weights are computed from the location-dependent standard deviations of the features and stored as part of the referenc... |
1409.5317 | Scott MacLean | Scott MacLean and George Labahn | A Bayesian model for recognizing handwritten mathematical expressions | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recognizing handwritten mathematics is a challenging classification problem,
requiring simultaneous identification of all the symbols comprising an input as
well as the complex two-dimensional relationships between symbols and
subexpressions. Because of the ambiguity present in handwritten input, it is
often unrealis... | [
{
"created": "Thu, 18 Sep 2014 14:45:24 GMT",
"version": "v1"
}
] | 2014-09-19 | [
[
"MacLean",
"Scott",
""
],
[
"Labahn",
"George",
""
]
] | Recognizing handwritten mathematics is a challenging classification problem, requiring simultaneous identification of all the symbols comprising an input as well as the complex two-dimensional relationships between symbols and subexpressions. Because of the ambiguity present in handwritten input, it is often unrealisti... |
1405.3311 | Ugo Dal Lago | Beniamino Accattoli, Ugo Dal Lago | Beta Reduction is Invariant, Indeed (Long Version) | 29 pages | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Slot and van Emde Boas' weak invariance thesis states that reasonable
machines can simulate each other within a polynomially overhead in time. Is
$\lambda$-calculus a reasonable machine? Is there a way to measure the
computational complexity of a $\lambda$-term? This paper presents the first
complete positive answer ... | [
{
"created": "Tue, 13 May 2014 21:23:58 GMT",
"version": "v1"
}
] | 2014-05-15 | [
[
"Accattoli",
"Beniamino",
""
],
[
"Lago",
"Ugo Dal",
""
]
] | Slot and van Emde Boas' weak invariance thesis states that reasonable machines can simulate each other within a polynomially overhead in time. Is $\lambda$-calculus a reasonable machine? Is there a way to measure the computational complexity of a $\lambda$-term? This paper presents the first complete positive answer to... |
1709.01710 | Marina Ljubenovi\'c | Marina Ljubenovi\'c and M\'ario A. T. Figueiredo | Blind image deblurring using class-adapted image priors | 5 pages | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Blind image deblurring (BID) is an ill-posed inverse problem, usually
addressed by imposing prior knowledge on the (unknown) image and on the
blurring filter. Most of the work on BID has focused on natural images, using
image priors based on statistical properties of generic natural images.
However, in many applicati... | [
{
"created": "Wed, 6 Sep 2017 08:20:10 GMT",
"version": "v1"
}
] | 2017-09-07 | [
[
"Ljubenović",
"Marina",
""
],
[
"Figueiredo",
"Mário A. T.",
""
]
] | Blind image deblurring (BID) is an ill-posed inverse problem, usually addressed by imposing prior knowledge on the (unknown) image and on the blurring filter. Most of the work on BID has focused on natural images, using image priors based on statistical properties of generic natural images. However, in many application... |
2203.11092 | Hang Dong | Hang Dong, Mat\'u\v{s} Falis, William Whiteley, Beatrice Alex, Joshua
Matterson, Shaoxiong Ji, Jiaoyan Chen, Honghan Wu | Automated Clinical Coding: What, Why, and Where We Are? | accepted for npj Digital Medicine | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Clinical coding is the task of transforming medical information in a
patient's health records into structured codes so that they can be used for
statistical analysis. This is a cognitive and time-consuming task that follows
a standard process in order to achieve a high level of consistency. Clinical
coding could pote... | [
{
"created": "Mon, 21 Mar 2022 16:17:38 GMT",
"version": "v1"
},
{
"created": "Wed, 31 Aug 2022 13:58:00 GMT",
"version": "v2"
},
{
"created": "Sun, 9 Oct 2022 14:18:20 GMT",
"version": "v3"
}
] | 2022-10-11 | [
[
"Dong",
"Hang",
""
],
[
"Falis",
"Matúš",
""
],
[
"Whiteley",
"William",
""
],
[
"Alex",
"Beatrice",
""
],
[
"Matterson",
"Joshua",
""
],
[
"Ji",
"Shaoxiong",
""
],
[
"Chen",
"Jiaoyan",
""
],
[
"Wu"... | Clinical coding is the task of transforming medical information in a patient's health records into structured codes so that they can be used for statistical analysis. This is a cognitive and time-consuming task that follows a standard process in order to achieve a high level of consistency. Clinical coding could potent... |
2203.15425 | Radek O\v{s}lej\v{s}ek | Martin Macak and Radek Oslejsek and Barbora Buhnova | Process Mining Analysis of Puzzle-Based Cybersecurity Training | null | null | 10.1145/3502718.3524819 | null | cs.CR cs.IR | http://creativecommons.org/licenses/by/4.0/ | The hands-on cybersecurity training quality is crucial to mitigate cyber
threats and attacks effectively. However, practical cybersecurity training is
strongly process-oriented, making the post-training analysis very difficult.
This paper presents process-mining methods applied to the learning analytics
workflow. We ... | [
{
"created": "Tue, 29 Mar 2022 10:45:05 GMT",
"version": "v1"
}
] | 2022-03-30 | [
[
"Macak",
"Martin",
""
],
[
"Oslejsek",
"Radek",
""
],
[
"Buhnova",
"Barbora",
""
]
] | The hands-on cybersecurity training quality is crucial to mitigate cyber threats and attacks effectively. However, practical cybersecurity training is strongly process-oriented, making the post-training analysis very difficult. This paper presents process-mining methods applied to the learning analytics workflow. We in... |
1710.10453 | Avi Caciularu | Mor Cohen, Avi Caciularu, Idan Rejwan, Jonathan Berant | Inducing Regular Grammars Using Recurrent Neural Networks | Accepted to L&R 2018 workshop, ICML & IJCAI | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Grammar induction is the task of learning a grammar from a set of examples.
Recently, neural networks have been shown to be powerful learning machines that
can identify patterns in streams of data. In this work we investigate their
effectiveness in inducing a regular grammar from data, without any assumptions
about t... | [
{
"created": "Sat, 28 Oct 2017 12:00:09 GMT",
"version": "v1"
},
{
"created": "Tue, 26 Jun 2018 14:27:47 GMT",
"version": "v2"
}
] | 2018-06-27 | [
[
"Cohen",
"Mor",
""
],
[
"Caciularu",
"Avi",
""
],
[
"Rejwan",
"Idan",
""
],
[
"Berant",
"Jonathan",
""
]
] | Grammar induction is the task of learning a grammar from a set of examples. Recently, neural networks have been shown to be powerful learning machines that can identify patterns in streams of data. In this work we investigate their effectiveness in inducing a regular grammar from data, without any assumptions about the... |
1906.00114 | Tom\'a\v{s} Musil | Tom\'a\v{s} Musil | Examining Structure of Word Embeddings with PCA | 12 pages, 6 figures, accepted to The 22th International Conference of
Text, Speech and Dialogue (TSD2019) in Ljubljana | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we compare structure of Czech word embeddings for English-Czech
neural machine translation (NMT), word2vec and sentiment analysis. We show that
although it is possible to successfully predict part of speech (POS) tags from
word embeddings of word2vec and various translation models, not all of the
embedd... | [
{
"created": "Fri, 31 May 2019 22:47:56 GMT",
"version": "v1"
}
] | 2019-06-04 | [
[
"Musil",
"Tomáš",
""
]
] | In this paper we compare structure of Czech word embeddings for English-Czech neural machine translation (NMT), word2vec and sentiment analysis. We show that although it is possible to successfully predict part of speech (POS) tags from word embeddings of word2vec and various translation models, not all of the embeddin... |
2009.12215 | Chengwen Xing | Chengwen Xing, Shuai Wang, Sheng Chen, Shaodan Ma, H. Vincent Poor,
Lajos Hanzo | Matrix-Monotonic Optimization Part II: Multi-Variable Optimization | Final version published in IEEE Transactions on Signal Processing.
arXiv admin note: substantial text overlap with arXiv:1810.11244 | null | 10.1109/TSP.2020.3037495 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In contrast to Part I of this treatise [1] that focuses on the optimization
problems associated with single matrix variables, in this paper, we investigate
the application of the matrix-monotonic optimization framework in the
optimization problems associated with multiple matrix variables. It is revealed
that matrix-... | [
{
"created": "Thu, 24 Sep 2020 02:04:03 GMT",
"version": "v1"
}
] | 2021-02-24 | [
[
"Xing",
"Chengwen",
""
],
[
"Wang",
"Shuai",
""
],
[
"Chen",
"Sheng",
""
],
[
"Ma",
"Shaodan",
""
],
[
"Poor",
"H. Vincent",
""
],
[
"Hanzo",
"Lajos",
""
]
] | In contrast to Part I of this treatise [1] that focuses on the optimization problems associated with single matrix variables, in this paper, we investigate the application of the matrix-monotonic optimization framework in the optimization problems associated with multiple matrix variables. It is revealed that matrix-mo... |
2206.06518 | Vandad Davoodnia | Vandad Davoodnia, Saeed Ghorbani, Ali Etemad | Estimating Pose from Pressure Data for Smart Beds with Deep Image-based
Pose Estimators | The version of record of this article, first published in Applied
Intelligence, is available online at Publisher's website
https://doi.org/10.1007/s10489-021-02418-y. arXiv admin note: substantial
text overlap with arXiv:1908.08919 | Applied Intelligence (2021): 1-15 | 10.1007/s10489-021-02418-y | 1573-7497 | cs.CV | http://creativecommons.org/licenses/by/4.0/ | In-bed pose estimation has shown value in fields such as hospital patient
monitoring, sleep studies, and smart homes. In this paper, we explore different
strategies for detecting body pose from highly ambiguous pressure data, with
the aid of pre-existing pose estimators. We examine the performance of
pre-trained pose... | [
{
"created": "Mon, 13 Jun 2022 23:29:28 GMT",
"version": "v1"
}
] | 2022-06-15 | [
[
"Davoodnia",
"Vandad",
""
],
[
"Ghorbani",
"Saeed",
""
],
[
"Etemad",
"Ali",
""
]
] | In-bed pose estimation has shown value in fields such as hospital patient monitoring, sleep studies, and smart homes. In this paper, we explore different strategies for detecting body pose from highly ambiguous pressure data, with the aid of pre-existing pose estimators. We examine the performance of pre-trained pose e... |
2306.04261 | Fardad Vakilipoor | Fardad Vakilipoor, Luca Barletta, Stefano Bregni, and Maurizio
Magarini | Achievable Rate Analysis in Molecular Channels with Reset-Counting Fully
Absorbing Receivers | Submitted to IEEE Global Communications Conference, December 2023,
Kuala Lumpur, Malaysia | null | null | null | cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | In this paper, we investigate the achievable rate of a diffusive Molecular
Communication (MC) channel with fully absorbing receiver, which counts
particles absorbed along each symbol interval and resets the counter at every
interval (reset-counting). The MC channel is affected by a memory effect and
thus inter-symbol... | [
{
"created": "Wed, 7 Jun 2023 08:59:39 GMT",
"version": "v1"
}
] | 2023-06-08 | [
[
"Vakilipoor",
"Fardad",
""
],
[
"Barletta",
"Luca",
""
],
[
"Bregni",
"Stefano",
""
],
[
"Magarini",
"Maurizio",
""
]
] | In this paper, we investigate the achievable rate of a diffusive Molecular Communication (MC) channel with fully absorbing receiver, which counts particles absorbed along each symbol interval and resets the counter at every interval (reset-counting). The MC channel is affected by a memory effect and thus inter-symbol i... |
2105.13287 | Dung Nguyen | Dung Nguyen and Anil Vullikanti | Differentially Private Densest Subgraph Detection | Accepted by ICML 2021 | null | null | null | cs.DS cs.AI cs.CR cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Densest subgraph detection is a fundamental graph mining problem, with a
large number of applications. There has been a lot of work on efficient
algorithms for finding the densest subgraph in massive networks. However, in
many domains, the network is private, and returning a densest subgraph can
reveal information ab... | [
{
"created": "Thu, 27 May 2021 16:36:03 GMT",
"version": "v1"
},
{
"created": "Fri, 18 Jun 2021 17:33:02 GMT",
"version": "v2"
}
] | 2024-06-05 | [
[
"Nguyen",
"Dung",
""
],
[
"Vullikanti",
"Anil",
""
]
] | Densest subgraph detection is a fundamental graph mining problem, with a large number of applications. There has been a lot of work on efficient algorithms for finding the densest subgraph in massive networks. However, in many domains, the network is private, and returning a densest subgraph can reveal information abou... |
1709.03787 | Balazs Vedres | Balazs Vedres | Forbidden triads and Creative Success in Jazz: The Miles Davis Factor | null | Applied Network Science (2017) 2:31 | 10.1007/s41109-017-0051-2 | null | cs.SI nlin.AO stat.AP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This article argues for the importance of forbidden triads - open triads with
high-weight edges - in predicting success in creative fields. Forbidden triads
had been treated as a residual category beyond closed and open triads, yet I
argue that these structures provide opportunities to combine socially evolved
styles... | [
{
"created": "Tue, 12 Sep 2017 11:28:25 GMT",
"version": "v1"
}
] | 2017-10-06 | [
[
"Vedres",
"Balazs",
""
]
] | This article argues for the importance of forbidden triads - open triads with high-weight edges - in predicting success in creative fields. Forbidden triads had been treated as a residual category beyond closed and open triads, yet I argue that these structures provide opportunities to combine socially evolved styles i... |
1804.07675 | Christian H\"ager | Shen Li, Christian H\"ager, Nil Garcia, Henk Wymeersch | Achievable Information Rates for Nonlinear Fiber Communication via
End-to-end Autoencoder Learning | 3 pages, 4 figures, fixed typos, revised layout | null | null | null | cs.IT math.IT stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Machine learning is used to compute achievable information rates (AIRs) for a
simplified fiber channel. The approach jointly optimizes the input distribution
(constellation shaping) and the auxiliary channel distribution to compute AIRs
without explicit channel knowledge in an end-to-end fashion.
| [
{
"created": "Fri, 20 Apr 2018 15:30:06 GMT",
"version": "v1"
},
{
"created": "Mon, 17 Sep 2018 08:58:55 GMT",
"version": "v2"
}
] | 2018-09-18 | [
[
"Li",
"Shen",
""
],
[
"Häger",
"Christian",
""
],
[
"Garcia",
"Nil",
""
],
[
"Wymeersch",
"Henk",
""
]
] | Machine learning is used to compute achievable information rates (AIRs) for a simplified fiber channel. The approach jointly optimizes the input distribution (constellation shaping) and the auxiliary channel distribution to compute AIRs without explicit channel knowledge in an end-to-end fashion. |
2205.14458 | Longzhen Yang | Longzhen Yang, Yihang Liu, Yitao Peng, Lianghua He | Variational Transformer: A Framework Beyond the Trade-off between
Accuracy and Diversity for Image Captioning | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Accuracy and Diversity are two essential metrizable manifestations in
generating natural and semantically correct captions. Many efforts have been
made to enhance one of them with another decayed due to the trade-off gap. In
this work, we will show that the inferior standard of accuracy draws from human
annotations (... | [
{
"created": "Sat, 28 May 2022 15:29:14 GMT",
"version": "v1"
},
{
"created": "Wed, 21 Sep 2022 12:21:58 GMT",
"version": "v2"
}
] | 2022-09-22 | [
[
"Yang",
"Longzhen",
""
],
[
"Liu",
"Yihang",
""
],
[
"Peng",
"Yitao",
""
],
[
"He",
"Lianghua",
""
]
] | Accuracy and Diversity are two essential metrizable manifestations in generating natural and semantically correct captions. Many efforts have been made to enhance one of them with another decayed due to the trade-off gap. In this work, we will show that the inferior standard of accuracy draws from human annotations (le... |
2103.06125 | Lucas N. Ferreira | Lucas N. Ferreira, Jim Whitehead | Learning to Generate Music With Sentiment | International Society for Music Information Retrieval (2019) | null | null | null | cs.LG cs.IR cs.SD eess.AS | http://creativecommons.org/licenses/by/4.0/ | Deep Learning models have shown very promising results in automatically
composing polyphonic music pieces. However, it is very hard to control such
models in order to guide the compositions towards a desired goal. We are
interested in controlling a model to automatically generate music with a given
sentiment. This pa... | [
{
"created": "Tue, 9 Mar 2021 03:16:52 GMT",
"version": "v1"
}
] | 2021-03-11 | [
[
"Ferreira",
"Lucas N.",
""
],
[
"Whitehead",
"Jim",
""
]
] | Deep Learning models have shown very promising results in automatically composing polyphonic music pieces. However, it is very hard to control such models in order to guide the compositions towards a desired goal. We are interested in controlling a model to automatically generate music with a given sentiment. This pape... |
2202.04067 | Yedid Hoshen | Yedid Hoshen | Time Series Anomaly Detection by Cumulative Radon Features | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Detecting anomalous time series is key for scientific, medical and industrial
tasks, but is challenging due to its inherent unsupervised nature. In recent
years, progress has been made on this task by learning increasingly more
complex features, often using deep neural networks. In this work, we argue that
shallow fe... | [
{
"created": "Tue, 8 Feb 2022 18:58:53 GMT",
"version": "v1"
}
] | 2022-02-09 | [
[
"Hoshen",
"Yedid",
""
]
] | Detecting anomalous time series is key for scientific, medical and industrial tasks, but is challenging due to its inherent unsupervised nature. In recent years, progress has been made on this task by learning increasingly more complex features, often using deep neural networks. In this work, we argue that shallow feat... |
1802.01618 | Imene Trigui | Imene Trigui, and Sofiene Affes | Unified Analysis and Optimization of D2D Communications in Cellular
Networks Over Fading Channels | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper develops an innovative approach to the modeling and analysis of
downlink cellular networks with device-to-device (D$2$D) transmissions. The
analytical embodiment of the signal-to-noise and-interference ratio (SINR)
analysis in general fading channels is unified due to the H-transform theory, a
taxonomy nev... | [
{
"created": "Mon, 5 Feb 2018 19:34:40 GMT",
"version": "v1"
},
{
"created": "Thu, 12 Apr 2018 19:27:26 GMT",
"version": "v2"
}
] | 2018-04-16 | [
[
"Trigui",
"Imene",
""
],
[
"Affes",
"Sofiene",
""
]
] | This paper develops an innovative approach to the modeling and analysis of downlink cellular networks with device-to-device (D$2$D) transmissions. The analytical embodiment of the signal-to-noise and-interference ratio (SINR) analysis in general fading channels is unified due to the H-transform theory, a taxonomy never... |
2008.11055 | Luciano Oliveira | Gabriel Lefundes, Luciano Oliveira | On estimating gaze by self-attention augmented convolutions | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Estimation of 3D gaze is highly relevant to multiple fields, including but
not limited to interactive systems, specialized human-computer interfaces, and
behavioral research. Although recently deep learning methods have boosted the
accuracy of appearance-based gaze estimation, there is still room for
improvement in t... | [
{
"created": "Tue, 25 Aug 2020 14:29:05 GMT",
"version": "v1"
},
{
"created": "Tue, 3 Nov 2020 13:49:19 GMT",
"version": "v2"
}
] | 2020-11-04 | [
[
"Lefundes",
"Gabriel",
""
],
[
"Oliveira",
"Luciano",
""
]
] | Estimation of 3D gaze is highly relevant to multiple fields, including but not limited to interactive systems, specialized human-computer interfaces, and behavioral research. Although recently deep learning methods have boosted the accuracy of appearance-based gaze estimation, there is still room for improvement in the... |
1809.00258 | Yogatheesan Varatharajah | Yogatheesan Varatharajah, Brent Berry, Sanmi Koyejo, and Ravishankar
Iyer | A Contextual-bandit-based Approach for Informed Decision-making in
Clinical Trials | 13 pages, 2 figures | null | null | null | cs.AI stat.AP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Clinical trials involving multiple treatments utilize randomization of the
treatment assignments to enable the evaluation of treatment efficacies in an
unbiased manner. Such evaluation is performed in post hoc studies that usually
use supervised-learning methods that rely on large amounts of data collected in
a rando... | [
{
"created": "Sat, 1 Sep 2018 22:07:23 GMT",
"version": "v1"
}
] | 2018-09-10 | [
[
"Varatharajah",
"Yogatheesan",
""
],
[
"Berry",
"Brent",
""
],
[
"Koyejo",
"Sanmi",
""
],
[
"Iyer",
"Ravishankar",
""
]
] | Clinical trials involving multiple treatments utilize randomization of the treatment assignments to enable the evaluation of treatment efficacies in an unbiased manner. Such evaluation is performed in post hoc studies that usually use supervised-learning methods that rely on large amounts of data collected in a randomi... |
2204.11138 | Su Jiang | Su Jiang, Louis J. Durlofsky | Use of Multifidelity Training Data and Transfer Learning for Efficient
Construction of Subsurface Flow Surrogate Models | null | null | 10.1016/j.jcp.2022.111800 | null | cs.LG physics.geo-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Data assimilation presents computational challenges because many
high-fidelity models must be simulated. Various deep-learning-based surrogate
modeling techniques have been developed to reduce the simulation costs
associated with these applications. However, to construct data-driven surrogate
models, several thousand... | [
{
"created": "Sat, 23 Apr 2022 20:09:49 GMT",
"version": "v1"
}
] | 2022-12-28 | [
[
"Jiang",
"Su",
""
],
[
"Durlofsky",
"Louis J.",
""
]
] | Data assimilation presents computational challenges because many high-fidelity models must be simulated. Various deep-learning-based surrogate modeling techniques have been developed to reduce the simulation costs associated with these applications. However, to construct data-driven surrogate models, several thousand h... |
1509.06084 | EPTCS | J. Strother Moore (Department of Computer Science, The University of
Texas at Austin) | Stateman: Using Metafunctions to Manage Large Terms Representing Machine
States | In Proceedings ACL2 2015, arXiv:1509.05526 | EPTCS 192, 2015, pp. 93-109 | 10.4204/EPTCS.192.8 | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | When ACL2 is used to model the operational semantics of computing machines,
machine states are typically represented by terms recording the contents of the
state components. When models are realistic and are stepped through thousands
of machine cycles, these terms can grow quite large and the cost of simplifying
them... | [
{
"created": "Mon, 21 Sep 2015 00:35:40 GMT",
"version": "v1"
}
] | 2015-09-22 | [
[
"Moore",
"J. Strother",
"",
"Department of Computer Science, The University of\n Texas at Austin"
]
] | When ACL2 is used to model the operational semantics of computing machines, machine states are typically represented by terms recording the contents of the state components. When models are realistic and are stepped through thousands of machine cycles, these terms can grow quite large and the cost of simplifying them o... |
2404.02152 | Chong Bao | Chong Bao, Yinda Zhang, Yuan Li, Xiyu Zhang, Bangbang Yang, Hujun Bao,
Marc Pollefeys, Guofeng Zhang, Zhaopeng Cui | GeneAvatar: Generic Expression-Aware Volumetric Head Avatar Editing from
a Single Image | Accepted to CVPR 2024. Project page:
https://zju3dv.github.io/geneavatar/ | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Recently, we have witnessed the explosive growth of various volumetric
representations in modeling animatable head avatars. However, due to the
diversity of frameworks, there is no practical method to support high-level
applications like 3D head avatar editing across different representations. In
this paper, we propo... | [
{
"created": "Tue, 2 Apr 2024 17:58:35 GMT",
"version": "v1"
}
] | 2024-04-03 | [
[
"Bao",
"Chong",
""
],
[
"Zhang",
"Yinda",
""
],
[
"Li",
"Yuan",
""
],
[
"Zhang",
"Xiyu",
""
],
[
"Yang",
"Bangbang",
""
],
[
"Bao",
"Hujun",
""
],
[
"Pollefeys",
"Marc",
""
],
[
"Zhang",
"Guofen... | Recently, we have witnessed the explosive growth of various volumetric representations in modeling animatable head avatars. However, due to the diversity of frameworks, there is no practical method to support high-level applications like 3D head avatar editing across different representations. In this paper, we propose... |
1910.02655 | Amir Soleimani | Amir Soleimani, Christof Monz, Marcel Worring | BERT for Evidence Retrieval and Claim Verification | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Motivated by the promising performance of pre-trained language models, we
investigate BERT in an evidence retrieval and claim verification pipeline for
the FEVER fact extraction and verification challenge. To this end, we propose
to use two BERT models, one for retrieving potential evidence sentences
supporting or re... | [
{
"created": "Mon, 7 Oct 2019 07:58:26 GMT",
"version": "v1"
}
] | 2019-10-08 | [
[
"Soleimani",
"Amir",
""
],
[
"Monz",
"Christof",
""
],
[
"Worring",
"Marcel",
""
]
] | Motivated by the promising performance of pre-trained language models, we investigate BERT in an evidence retrieval and claim verification pipeline for the FEVER fact extraction and verification challenge. To this end, we propose to use two BERT models, one for retrieving potential evidence sentences supporting or reje... |
2203.15448 | H\"armel Nestra | Dan Bogdanov (1), Joosep J\"a\"ager (1), Peeter Laud (1), H\"armel
Nestra (1), Martin Pettai (1), Jaak Randmets (1), Ville Sokk (1), Kert Tali
(1), Sandhra-Mirella Valdma (1) ((1) Cybernetica AS) | ZK-SecreC: a Domain-Specific Language for Zero Knowledge Proofs | 75 pp | null | null | null | cs.PL cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present ZK-SecreC, a domain-specific language for zero-knowledge proofs.
We present the rationale for its design, its syntax and semantics, and
demonstrate its usefulness on the basis of a number of non-trivial examples.
The design features a type system, where each piece of data is assigned both a
confidentiality... | [
{
"created": "Tue, 29 Mar 2022 11:35:11 GMT",
"version": "v1"
},
{
"created": "Fri, 26 Aug 2022 13:43:41 GMT",
"version": "v2"
}
] | 2022-08-29 | [
[
"Bogdanov",
"Dan",
"",
"Cybernetica AS"
],
[
"Jääger",
"Joosep",
"",
"Cybernetica AS"
],
[
"Laud",
"Peeter",
"",
"Cybernetica AS"
],
[
"Nestra",
"Härmel",
"",
"Cybernetica AS"
],
[
"Pettai",
"Martin",
"",
"Cybernetica ... | We present ZK-SecreC, a domain-specific language for zero-knowledge proofs. We present the rationale for its design, its syntax and semantics, and demonstrate its usefulness on the basis of a number of non-trivial examples. The design features a type system, where each piece of data is assigned both a confidentiality a... |
2107.14297 | Enrico Ubaldi | Enrico Ubaldi, Takahiro Yabe, Nicholas K. W. Jones, Maham Faisal Khan,
Satish V. Ukkusuri, Riccardo Di Clemente, Emanuele Strano | Mobilkit: A Python Toolkit for Urban Resilience and Disaster Risk
Management Analytics using High Frequency Human Mobility Data | 3 pages, 1 figure, KDD KDD Workshop on Data-driven Humanitarian
Mapping, 27th ACM SIGKDD Conference | Journal of Open Source Software, 9(95), 5201, 2024 | 10.21105/joss.05201 | null | cs.CY cs.SI physics.soc-ph | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Increasingly available high-frequency location datasets derived from
smartphones provide unprecedented insight into trajectories of human mobility.
These datasets can play a significant and growing role in informing
preparedness and response to natural disasters. However, limited tools exist to
enable rapid analytics... | [
{
"created": "Thu, 29 Jul 2021 19:49:54 GMT",
"version": "v1"
},
{
"created": "Thu, 16 Sep 2021 08:54:13 GMT",
"version": "v2"
}
] | 2024-03-05 | [
[
"Ubaldi",
"Enrico",
""
],
[
"Yabe",
"Takahiro",
""
],
[
"Jones",
"Nicholas K. W.",
""
],
[
"Khan",
"Maham Faisal",
""
],
[
"Ukkusuri",
"Satish V.",
""
],
[
"Di Clemente",
"Riccardo",
""
],
[
"Strano",
"Emanuele... | Increasingly available high-frequency location datasets derived from smartphones provide unprecedented insight into trajectories of human mobility. These datasets can play a significant and growing role in informing preparedness and response to natural disasters. However, limited tools exist to enable rapid analytics u... |
2404.16223 | Marcos V. Conde | Marcos V. Conde and Florin-Alexandru Vasluianu and Radu Timofte and
Jianxing Zhang and Jia Li and Fan Wang and Xiaopeng Li and Zikun Liu and
Hyunhee Park and Sejun Song and Changho Kim and Zhijuan Huang and Hongyuan Yu
and Cheng Wan and Wending Xiang and Jiamin Lin and Hang Zhong and Qiaosong
Zhang and Yue Sun ... | Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey | CVPR 2024 - NTIRE Workshop | null | null | null | cs.CV eess.IV | http://creativecommons.org/licenses/by-sa/4.0/ | This paper reviews the NTIRE 2024 RAW Image Super-Resolution Challenge,
highlighting the proposed solutions and results. New methods for RAW
Super-Resolution could be essential in modern Image Signal Processing (ISP)
pipelines, however, this problem is not as explored as in the RGB domain. Th
goal of this challenge i... | [
{
"created": "Wed, 24 Apr 2024 21:51:01 GMT",
"version": "v1"
}
] | 2024-04-26 | [
[
"Conde",
"Marcos V.",
""
],
[
"Vasluianu",
"Florin-Alexandru",
""
],
[
"Timofte",
"Radu",
""
],
[
"Zhang",
"Jianxing",
""
],
[
"Li",
"Jia",
""
],
[
"Wang",
"Fan",
""
],
[
"Li",
"Xiaopeng",
""
],
[
"... | This paper reviews the NTIRE 2024 RAW Image Super-Resolution Challenge, highlighting the proposed solutions and results. New methods for RAW Super-Resolution could be essential in modern Image Signal Processing (ISP) pipelines, however, this problem is not as explored as in the RGB domain. Th goal of this challenge is ... |
2011.11305 | Ioannis Apostolopoulos | Ioannis D. Apostolopoulos, Mpesiana Tzani | Industrial object, machine part and defect recognition towards fully
automated industrial monitoring employing deep learning. The case of
multilevel VGG19 | 17 pages, 10 figures | Journal of Ambient Intelligence and Humanized Computing, 2022 | 10.1007/s12652-021-03688-7 | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern industry requires modern solutions for monitoring the automatic
production of goods. Smart monitoring of the functionality of the mechanical
parts of technology systems or machines is mandatory for a fully automatic
production process. Although Deep Learning has been advancing, allowing for
real-time object de... | [
{
"created": "Mon, 23 Nov 2020 10:05:50 GMT",
"version": "v1"
}
] | 2022-01-11 | [
[
"Apostolopoulos",
"Ioannis D.",
""
],
[
"Tzani",
"Mpesiana",
""
]
] | Modern industry requires modern solutions for monitoring the automatic production of goods. Smart monitoring of the functionality of the mechanical parts of technology systems or machines is mandatory for a fully automatic production process. Although Deep Learning has been advancing, allowing for real-time object dete... |
2302.11985 | Shin Hwei Tan | Hsu Myat Win, Haibo Wang, Shin Hwei Tan | Automatic Detecting Unethical Behavior in Open-source Software Projects | 11 pages | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Given the rapid growth of Open-Source Software (OSS) projects, ethical
considerations are becoming more important. Past studies focused on specific
ethical issues (e.g., gender bias and fairness in OSS). There is little to no
study on the different types of unethical behavior in OSS projects. We present
the first stu... | [
{
"created": "Thu, 23 Feb 2023 13:05:25 GMT",
"version": "v1"
}
] | 2023-02-24 | [
[
"Win",
"Hsu Myat",
""
],
[
"Wang",
"Haibo",
""
],
[
"Tan",
"Shin Hwei",
""
]
] | Given the rapid growth of Open-Source Software (OSS) projects, ethical considerations are becoming more important. Past studies focused on specific ethical issues (e.g., gender bias and fairness in OSS). There is little to no study on the different types of unethical behavior in OSS projects. We present the first study... |
2401.08903 | Fengfan Zhou | Fengfan Zhou, Qianyu Zhou, Bangjie Yin, Hui Zheng, Xuequan Lu,
Lizhuang Ma, Hefei Ling | Rethinking Impersonation and Dodging Attacks on Face Recognition Systems | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Face Recognition (FR) systems can be easily deceived by adversarial examples
that manipulate benign face images through imperceptible perturbations.
Adversarial attacks on FR encompass two types: impersonation (targeted) attacks
and dodging (untargeted) attacks. Previous methods often achieve a successful
impersonati... | [
{
"created": "Wed, 17 Jan 2024 01:10:17 GMT",
"version": "v1"
},
{
"created": "Fri, 16 Feb 2024 02:55:23 GMT",
"version": "v2"
},
{
"created": "Thu, 25 Apr 2024 08:31:00 GMT",
"version": "v3"
}
] | 2024-04-26 | [
[
"Zhou",
"Fengfan",
""
],
[
"Zhou",
"Qianyu",
""
],
[
"Yin",
"Bangjie",
""
],
[
"Zheng",
"Hui",
""
],
[
"Lu",
"Xuequan",
""
],
[
"Ma",
"Lizhuang",
""
],
[
"Ling",
"Hefei",
""
]
] | Face Recognition (FR) systems can be easily deceived by adversarial examples that manipulate benign face images through imperceptible perturbations. Adversarial attacks on FR encompass two types: impersonation (targeted) attacks and dodging (untargeted) attacks. Previous methods often achieve a successful impersonation... |
2403.10293 | Verena Blaschke | Verena Blaschke, Barbara Kova\v{c}i\'c, Siyao Peng, Hinrich Sch\"utze,
Barbara Plank | MaiBaam: A Multi-Dialectal Bavarian Universal Dependency Treebank | LREC-COLING 2024 | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Despite the success of the Universal Dependencies (UD) project exemplified by
its impressive language breadth, there is still a lack in `within-language
breadth': most treebanks focus on standard languages. Even for German, the
language with the most annotations in UD, so far no treebank exists for one of
its languag... | [
{
"created": "Fri, 15 Mar 2024 13:33:10 GMT",
"version": "v1"
}
] | 2024-03-18 | [
[
"Blaschke",
"Verena",
""
],
[
"Kovačić",
"Barbara",
""
],
[
"Peng",
"Siyao",
""
],
[
"Schütze",
"Hinrich",
""
],
[
"Plank",
"Barbara",
""
]
] | Despite the success of the Universal Dependencies (UD) project exemplified by its impressive language breadth, there is still a lack in `within-language breadth': most treebanks focus on standard languages. Even for German, the language with the most annotations in UD, so far no treebank exists for one of its language ... |
1808.10363 | Mat\'u\v{s} Sul\'ir | Mat\'u\v{s} Sul\'ir, Jaroslav Porub\"an, Ondrej Zori\v{c}\'ak | IDE-Independent Program Comprehension Tools via Source File Overwriting | null | 2017 IEEE 14th International Scientific Conference on Informatics,
IEEE, 2017, pp. 372-376 | 10.1109/INFORMATICS.2017.8327277 | null | cs.SE cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Traditionally, we have two possibilities to design tools for program
comprehension and analysis. The first option is to create a standalone program,
independent of any source code editor. This way, the act of source code editing
is separated from the act of viewing the code analysis results. The second
option is to c... | [
{
"created": "Thu, 30 Aug 2018 15:45:52 GMT",
"version": "v1"
}
] | 2018-08-31 | [
[
"Sulír",
"Matúš",
""
],
[
"Porubän",
"Jaroslav",
""
],
[
"Zoričák",
"Ondrej",
""
]
] | Traditionally, we have two possibilities to design tools for program comprehension and analysis. The first option is to create a standalone program, independent of any source code editor. This way, the act of source code editing is separated from the act of viewing the code analysis results. The second option is to cre... |
2406.15762 | Zhichao Chen | Zhichao Chen, Haoxuan Li, Fangyikang Wang, Odin Zhang, Hu Xu, Xiaoyu
Jiang, Zhihuan Song, Eric H. Wang | Rethinking the Diffusion Models for Numerical Tabular Data Imputation
from the Perspective of Wasserstein Gradient Flow | null | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | Diffusion models (DMs) have gained attention in Missing Data Imputation
(MDI), but there remain two long-neglected issues to be addressed: (1).
Inaccurate Imputation, which arises from inherently
sample-diversification-pursuing generative process of DMs. (2). Difficult
Training, which stems from intricate design requ... | [
{
"created": "Sat, 22 Jun 2024 06:59:32 GMT",
"version": "v1"
}
] | 2024-06-25 | [
[
"Chen",
"Zhichao",
""
],
[
"Li",
"Haoxuan",
""
],
[
"Wang",
"Fangyikang",
""
],
[
"Zhang",
"Odin",
""
],
[
"Xu",
"Hu",
""
],
[
"Jiang",
"Xiaoyu",
""
],
[
"Song",
"Zhihuan",
""
],
[
"Wang",
"Eric... | Diffusion models (DMs) have gained attention in Missing Data Imputation (MDI), but there remain two long-neglected issues to be addressed: (1). Inaccurate Imputation, which arises from inherently sample-diversification-pursuing generative process of DMs. (2). Difficult Training, which stems from intricate design requir... |
2309.04878 | Ekzhin Ear | Ekzhin Ear, Jose L. C. Remy, Antonia Feffer, Shouhuai Xu | Characterizing Cyber Attacks against Space Systems with Missing Data:
Framework and Case Study | Accepted for publication: IEEE International Conference on
Communications and Network Security 2023 (IEEE CNS) | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cybersecurity of space systems is an emerging topic, but there is no single
dataset that documents cyber attacks against space systems that have occurred
in the past. These incidents are often scattered in media reports while missing
many details, which we dub the missing-data problem. Nevertheless, even
"low-quality... | [
{
"created": "Sat, 9 Sep 2023 21:40:00 GMT",
"version": "v1"
}
] | 2023-09-12 | [
[
"Ear",
"Ekzhin",
""
],
[
"Remy",
"Jose L. C.",
""
],
[
"Feffer",
"Antonia",
""
],
[
"Xu",
"Shouhuai",
""
]
] | Cybersecurity of space systems is an emerging topic, but there is no single dataset that documents cyber attacks against space systems that have occurred in the past. These incidents are often scattered in media reports while missing many details, which we dub the missing-data problem. Nevertheless, even "low-quality" ... |
2305.09204 | Yifan Jiang | Yifan Jiang, Shane Steinert-Threlkeld | The Weighted M\"obius Score: A Unified Framework for Feature Attribution | null | null | null | null | cs.LG cs.AI cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Feature attribution aims to explain the reasoning behind a black-box model's
prediction by identifying the impact of each feature on the prediction. Recent
work has extended feature attribution to interactions between multiple
features. However, the lack of a unified framework has led to a proliferation
of methods th... | [
{
"created": "Tue, 16 May 2023 06:27:27 GMT",
"version": "v1"
}
] | 2023-05-17 | [
[
"Jiang",
"Yifan",
""
],
[
"Steinert-Threlkeld",
"Shane",
""
]
] | Feature attribution aims to explain the reasoning behind a black-box model's prediction by identifying the impact of each feature on the prediction. Recent work has extended feature attribution to interactions between multiple features. However, the lack of a unified framework has led to a proliferation of methods that... |
2005.10848 | Surin Ahn | Surin Ahn, Ayfer Ozgur and Mert Pilanci | Global Multiclass Classification and Dataset Construction via
Heterogeneous Local Experts | 27 pages, 8 figures, to be published in IEEE Journal on Selected
Areas in Information Theory (JSAIT) - Special Issue on Estimation and
Inference | null | 10.1109/JSAIT.2020.3041804 | null | cs.LG cs.IT math.IT stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the domains of dataset construction and crowdsourcing, a notable challenge
is to aggregate labels from a heterogeneous set of labelers, each of whom is
potentially an expert in some subset of tasks (and less reliable in others). To
reduce costs of hiring human labelers or training automated labeling systems,
it is... | [
{
"created": "Thu, 21 May 2020 18:07:42 GMT",
"version": "v1"
},
{
"created": "Mon, 25 May 2020 04:34:43 GMT",
"version": "v2"
},
{
"created": "Tue, 5 Jan 2021 23:34:36 GMT",
"version": "v3"
}
] | 2021-01-07 | [
[
"Ahn",
"Surin",
""
],
[
"Ozgur",
"Ayfer",
""
],
[
"Pilanci",
"Mert",
""
]
] | In the domains of dataset construction and crowdsourcing, a notable challenge is to aggregate labels from a heterogeneous set of labelers, each of whom is potentially an expert in some subset of tasks (and less reliable in others). To reduce costs of hiring human labelers or training automated labeling systems, it is o... |
2107.12407 | Shannon Veitch | Thomas Humphries, Rasoul Akhavan Mahdavi, Shannon Veitch, Florian
Kerschbaum | Selective MPC: Distributed Computation of Differentially Private
Key-Value Statistics | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Key-value data is a naturally occurring data type that has not been
thoroughly investigated in the local trust model. Existing local differentially
private (LDP) solutions for computing statistics over key-value data suffer
from the inherent accuracy limitations of each user adding their own noise.
Multi-party comput... | [
{
"created": "Mon, 26 Jul 2021 18:01:19 GMT",
"version": "v1"
},
{
"created": "Tue, 30 Aug 2022 15:18:44 GMT",
"version": "v2"
}
] | 2022-08-31 | [
[
"Humphries",
"Thomas",
""
],
[
"Mahdavi",
"Rasoul Akhavan",
""
],
[
"Veitch",
"Shannon",
""
],
[
"Kerschbaum",
"Florian",
""
]
] | Key-value data is a naturally occurring data type that has not been thoroughly investigated in the local trust model. Existing local differentially private (LDP) solutions for computing statistics over key-value data suffer from the inherent accuracy limitations of each user adding their own noise. Multi-party computat... |
1209.3353 | Shipra Agrawal | Shipra Agrawal, Navin Goyal | Further Optimal Regret Bounds for Thompson Sampling | arXiv admin note: substantial text overlap with arXiv:1111.1797 | null | null | null | cs.LG cs.DS stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Thompson Sampling is one of the oldest heuristics for multi-armed bandit
problems. It is a randomized algorithm based on Bayesian ideas, and has
recently generated significant interest after several studies demonstrated it
to have better empirical performance compared to the state of the art methods.
In this paper, w... | [
{
"created": "Sat, 15 Sep 2012 03:41:18 GMT",
"version": "v1"
}
] | 2012-09-18 | [
[
"Agrawal",
"Shipra",
""
],
[
"Goyal",
"Navin",
""
]
] | Thompson Sampling is one of the oldest heuristics for multi-armed bandit problems. It is a randomized algorithm based on Bayesian ideas, and has recently generated significant interest after several studies demonstrated it to have better empirical performance compared to the state of the art methods. In this paper, we ... |
2406.11159 | Siyuan Yu | Siyuan Yu, Wei Chen, H. Vincent Poor | Distributed Stochastic Gradient Descent with Staleness: A Stochastic
Delay Differential Equation Based Framework | 13 pages, 9 figures | null | null | null | cs.LG cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Distributed stochastic gradient descent (SGD) has attracted considerable
recent attention due to its potential for scaling computational resources,
reducing training time, and helping protect user privacy in machine learning.
However, the staggers and limited bandwidth may induce random
computational/communication de... | [
{
"created": "Mon, 17 Jun 2024 02:56:55 GMT",
"version": "v1"
}
] | 2024-06-18 | [
[
"Yu",
"Siyuan",
""
],
[
"Chen",
"Wei",
""
],
[
"Poor",
"H. Vincent",
""
]
] | Distributed stochastic gradient descent (SGD) has attracted considerable recent attention due to its potential for scaling computational resources, reducing training time, and helping protect user privacy in machine learning. However, the staggers and limited bandwidth may induce random computational/communication dela... |
1908.05293 | Rahul Mitra | Rahul Mitra, Nitesh B. Gundavarapu, Abhishek Sharma, Arjun Jain | Multiview-Consistent Semi-Supervised Learning for 3D Human Pose
Estimation | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The best performing methods for 3D human pose estimation from monocular
images require large amounts of in-the-wild 2D and controlled 3D pose annotated
datasets which are costly and require sophisticated systems to acquire. To
reduce this annotation dependency, we propose Multiview-Consistent Semi
Supervised Learning... | [
{
"created": "Wed, 14 Aug 2019 18:13:57 GMT",
"version": "v1"
},
{
"created": "Sat, 30 Nov 2019 06:44:56 GMT",
"version": "v2"
},
{
"created": "Tue, 25 Feb 2020 06:14:42 GMT",
"version": "v3"
}
] | 2020-02-26 | [
[
"Mitra",
"Rahul",
""
],
[
"Gundavarapu",
"Nitesh B.",
""
],
[
"Sharma",
"Abhishek",
""
],
[
"Jain",
"Arjun",
""
]
] | The best performing methods for 3D human pose estimation from monocular images require large amounts of in-the-wild 2D and controlled 3D pose annotated datasets which are costly and require sophisticated systems to acquire. To reduce this annotation dependency, we propose Multiview-Consistent Semi Supervised Learning (... |
1804.07376 | Ashkan Yousefpour | Ashkan Yousefpour, Genya Ishigaki, Riti Gour, Jason P. Jue | On Reducing IoT Service Delay via Fog Offloading | null | IEEE Internet of Things Journal, vol. 5, no. 2, pp. 998-1010,
April 2018 | 10.1109/JIOT.2017.2788802 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the Internet of Things (IoT) becoming a major component of our daily
life, understanding how to improve the quality of service (QoS) for IoT
applications through fog computing is becoming an important problem. In this
paper, we introduce a general framework for IoT-fog-cloud applications, and
propose a delay-min... | [
{
"created": "Thu, 19 Apr 2018 20:58:04 GMT",
"version": "v1"
}
] | 2018-04-23 | [
[
"Yousefpour",
"Ashkan",
""
],
[
"Ishigaki",
"Genya",
""
],
[
"Gour",
"Riti",
""
],
[
"Jue",
"Jason P.",
""
]
] | With the Internet of Things (IoT) becoming a major component of our daily life, understanding how to improve the quality of service (QoS) for IoT applications through fog computing is becoming an important problem. In this paper, we introduce a general framework for IoT-fog-cloud applications, and propose a delay-minim... |
1911.00238 | Takato Horii | Kyoichiro Kobayashi, Takato Horii, Ryo Iwaki, Yukie Nagai and Minoru
Asada | Situated GAIL: Multitask imitation using task-conditioned adversarial
inverse reinforcement learning | Submitted to Advanced Robotics | null | null | null | cs.LG cs.AI cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Generative adversarial imitation learning (GAIL) has attracted increasing
attention in the field of robot learning. It enables robots to learn a policy
to achieve a task demonstrated by an expert while simultaneously estimating the
reward function behind the expert's behaviors. However, this framework is
limited to l... | [
{
"created": "Fri, 1 Nov 2019 07:50:30 GMT",
"version": "v1"
}
] | 2019-11-04 | [
[
"Kobayashi",
"Kyoichiro",
""
],
[
"Horii",
"Takato",
""
],
[
"Iwaki",
"Ryo",
""
],
[
"Nagai",
"Yukie",
""
],
[
"Asada",
"Minoru",
""
]
] | Generative adversarial imitation learning (GAIL) has attracted increasing attention in the field of robot learning. It enables robots to learn a policy to achieve a task demonstrated by an expert while simultaneously estimating the reward function behind the expert's behaviors. However, this framework is limited to lea... |
1408.1292 | Ilja Kuzborskij | Ilja Kuzborskij, Francesco Orabona, Barbara Caputo | Scalable Greedy Algorithms for Transfer Learning | null | null | 10.1016/j.cviu.2016.09.003 | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we consider the binary transfer learning problem, focusing on
how to select and combine sources from a large pool to yield a good performance
on a target task. Constraining our scenario to real world, we do not assume the
direct access to the source data, but rather we employ the source hypotheses
train... | [
{
"created": "Wed, 6 Aug 2014 14:27:57 GMT",
"version": "v1"
},
{
"created": "Thu, 4 Dec 2014 15:56:53 GMT",
"version": "v2"
},
{
"created": "Thu, 8 Oct 2015 10:27:39 GMT",
"version": "v3"
},
{
"created": "Sat, 18 Jun 2016 00:17:50 GMT",
"version": "v4"
}
] | 2016-09-16 | [
[
"Kuzborskij",
"Ilja",
""
],
[
"Orabona",
"Francesco",
""
],
[
"Caputo",
"Barbara",
""
]
] | In this paper we consider the binary transfer learning problem, focusing on how to select and combine sources from a large pool to yield a good performance on a target task. Constraining our scenario to real world, we do not assume the direct access to the source data, but rather we employ the source hypotheses trained... |
1308.1464 | Andy Terrel | Andy R. Terrel and Kyle T. Mandli | ManyClaw: Slicing and dicing Riemann solvers for next generation highly
parallel architectures | TACC-Intel Symposium on Highly Parallel Architectures. 2012 | null | null | null | cs.CE cs.MS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Next generation computer architectures will include order of magnitude more
intra-node parallelism; however, many application programmers have a difficult
time keeping their codes current with the state-of-the-art machines. In this
context, we analyze Hyperbolic PDE solvers, which are used in the solution of
many imp... | [
{
"created": "Wed, 7 Aug 2013 02:24:20 GMT",
"version": "v1"
}
] | 2013-08-08 | [
[
"Terrel",
"Andy R.",
""
],
[
"Mandli",
"Kyle T.",
""
]
] | Next generation computer architectures will include order of magnitude more intra-node parallelism; however, many application programmers have a difficult time keeping their codes current with the state-of-the-art machines. In this context, we analyze Hyperbolic PDE solvers, which are used in the solution of many impor... |
1411.0154 | Ferruccio Guidi Dr | Ferruccio Guidi | Extending the Applicability Condition in the Formal System
$\lambda\delta$ | 36 pages, updated to appear as a technical report | null | null | AMS-Acta 4411 | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The formal system $\lambda\delta$ is a typed lambda calculus derived from
$\Lambda_\infty$, aiming to support the foundations of Mathematics that require
an underlying theory of expressions (for example the Minimal Type Theory). The
system is developed in the context of the Hypertextual Electronic Library of
Mathemat... | [
{
"created": "Sat, 1 Nov 2014 18:58:40 GMT",
"version": "v1"
},
{
"created": "Fri, 6 Mar 2015 14:49:56 GMT",
"version": "v2"
},
{
"created": "Wed, 27 Nov 2019 22:41:24 GMT",
"version": "v3"
}
] | 2019-12-02 | [
[
"Guidi",
"Ferruccio",
""
]
] | The formal system $\lambda\delta$ is a typed lambda calculus derived from $\Lambda_\infty$, aiming to support the foundations of Mathematics that require an underlying theory of expressions (for example the Minimal Type Theory). The system is developed in the context of the Hypertextual Electronic Library of Mathematic... |
2205.00893 | Emmanuel Kwarteng | Emmanuel Kwarteng (PhD Candidate), Dr. Mumin Cebe | A Survey on Security Issues in Modern Implantable Devices: Solutions and
Future Issues | There are 18 pages including reference pages, 5 figures, and 4 tables
submitted to Smart Health by Elsevier. Emmanuel Kwarteng: Conceptualization,
Investigation, Resources, Methodology, Writing-Original Draft, Visualization.
Mumin Cebe: Writing-Review & Editing, Validation, Supervision | null | null | null | cs.CR | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Implantable Medical Devices (IMD) is a fast pace growing medical field and
continues to grow in the foreseeable future. Advancement in science and
technology has led to the IMD devices offering advanced medical treatments.
Modern IMDs can automatically monitor and manage different patients' health
conditions without ... | [
{
"created": "Mon, 2 May 2022 13:03:41 GMT",
"version": "v1"
}
] | 2022-05-03 | [
[
"Kwarteng",
"Emmanuel",
"",
"PhD Candidate"
],
[
"Cebe",
"Dr. Mumin",
""
]
] | Implantable Medical Devices (IMD) is a fast pace growing medical field and continues to grow in the foreseeable future. Advancement in science and technology has led to the IMD devices offering advanced medical treatments. Modern IMDs can automatically monitor and manage different patients' health conditions without an... |
2302.01714 | Muah Kim | Muah Kim, Rick Fritschek, Rafael F. Schaefer | Learning End-to-End Channel Coding with Diffusion Models | 6 pages, WSA/SCC 2023 | null | null | null | cs.IT cs.LG math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | It is a known problem that deep-learning-based end-to-end (E2E) channel
coding systems depend on a known and differentiable channel model, due to the
learning process and based on the gradient-descent optimization methods. This
places the challenge to approximate or generate the channel or its derivative
from samples... | [
{
"created": "Fri, 3 Feb 2023 13:11:57 GMT",
"version": "v1"
},
{
"created": "Wed, 29 Nov 2023 14:54:04 GMT",
"version": "v2"
}
] | 2023-11-30 | [
[
"Kim",
"Muah",
""
],
[
"Fritschek",
"Rick",
""
],
[
"Schaefer",
"Rafael F.",
""
]
] | It is a known problem that deep-learning-based end-to-end (E2E) channel coding systems depend on a known and differentiable channel model, due to the learning process and based on the gradient-descent optimization methods. This places the challenge to approximate or generate the channel or its derivative from samples g... |
2107.13423 | Guangliang Pan | Guangliang Pan, Zitong Liu, Wei Wang, Minglei Li | A Signal Detection Scheme Based on Deep Learning in OFDM Systems | null | null | null | null | cs.IT cs.LG eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Channel estimation and signal detection are essential steps to ensure the
quality of end-to-end communication in orthogonal frequency-division
multiplexing (OFDM) systems. In this paper, we develop a DDLSD approach, i.e.,
Data-driven Deep Learning for Signal Detection in OFDM systems. First, the OFDM
system model is ... | [
{
"created": "Sat, 24 Jul 2021 04:25:46 GMT",
"version": "v1"
}
] | 2021-07-29 | [
[
"Pan",
"Guangliang",
""
],
[
"Liu",
"Zitong",
""
],
[
"Wang",
"Wei",
""
],
[
"Li",
"Minglei",
""
]
] | Channel estimation and signal detection are essential steps to ensure the quality of end-to-end communication in orthogonal frequency-division multiplexing (OFDM) systems. In this paper, we develop a DDLSD approach, i.e., Data-driven Deep Learning for Signal Detection in OFDM systems. First, the OFDM system model is es... |
2406.06045 | Ke Niu | Ke Niu, Haiyang Yu, Xuelin Qian, Teng Fu, Bin Li, and Xiangyang Xue | Synthesizing Efficient Data with Diffusion Models for Person
Re-Identification Pre-Training | null | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Existing person re-identification (Re-ID) methods principally deploy the
ImageNet-1K dataset for model initialization, which inevitably results in
sub-optimal situations due to the large domain gap. One of the key challenges
is that building large-scale person Re-ID datasets is time-consuming. Some
previous efforts a... | [
{
"created": "Mon, 10 Jun 2024 06:26:03 GMT",
"version": "v1"
}
] | 2024-06-11 | [
[
"Niu",
"Ke",
""
],
[
"Yu",
"Haiyang",
""
],
[
"Qian",
"Xuelin",
""
],
[
"Fu",
"Teng",
""
],
[
"Li",
"Bin",
""
],
[
"Xue",
"Xiangyang",
""
]
] | Existing person re-identification (Re-ID) methods principally deploy the ImageNet-1K dataset for model initialization, which inevitably results in sub-optimal situations due to the large domain gap. One of the key challenges is that building large-scale person Re-ID datasets is time-consuming. Some previous efforts add... |
2307.10751 | Advait Sarkar | Advait Sarkar | Exploring Perspectives on the Impact of Artificial Intelligence on the
Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic
Parrots | Advait Sarkar. 2023. Exploring Perspectives on the Impact of
Artificial Intelligence on the Creativity of Knowledge Work Beyond Mechanised
Plagiarism and Stochastic Parrots. In Annual Symposium on Human-Computer
Interaction for Work 2023 (CHIWORK 2023), June 13-16, 2023, Oldenburg,
Germany. ACM, New York, NY, U... | null | 10.1145/3596671.3597650 | null | cs.HC cs.AI cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Artificial Intelligence (AI), and in particular generative models, are
transformative tools for knowledge work. They problematise notions of
creativity, originality, plagiarism, the attribution of credit, and copyright
ownership. Critics of generative models emphasise the reliance on large amounts
of training data, a... | [
{
"created": "Thu, 20 Jul 2023 10:26:57 GMT",
"version": "v1"
}
] | 2023-07-21 | [
[
"Sarkar",
"Advait",
""
]
] | Artificial Intelligence (AI), and in particular generative models, are transformative tools for knowledge work. They problematise notions of creativity, originality, plagiarism, the attribution of credit, and copyright ownership. Critics of generative models emphasise the reliance on large amounts of training data, and... |
cs/0402009 | Richard McClatchey | F Estrella, C del Frate, T Hauer, R McClatchey, M Odeh, D Rogulin, S R
Amendolia, D Schottlander, T Solomonides, R Warren | Resolving Clinicians Queries Across a Grids Infrastructure | 8 pages, 3 figures. Presented at the 2nd Int Conf on HealthGrids
Clermont-Ferrand, France January 2004 and accepted by Methods of Information
in Medicine | null | null | null | cs.DB cs.SE | null | The past decade has witnessed order of magnitude increases in computing
power, data storage capacity and network speed, giving birth to applications
which may handle large data volumes of increased complexity, distributed over
the Internet. Grids computing promises to resolve many of the difficulties in
facilitating ... | [
{
"created": "Tue, 3 Feb 2004 14:32:39 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Estrella",
"F",
""
],
[
"del Frate",
"C",
""
],
[
"Hauer",
"T",
""
],
[
"McClatchey",
"R",
""
],
[
"Odeh",
"M",
""
],
[
"Rogulin",
"D",
""
],
[
"Amendolia",
"S R",
""
],
[
"Schottlander",
"D",
... | The past decade has witnessed order of magnitude increases in computing power, data storage capacity and network speed, giving birth to applications which may handle large data volumes of increased complexity, distributed over the Internet. Grids computing promises to resolve many of the difficulties in facilitating me... |
2305.04239 | Zhitao Liu | Zhitao Liu, Zengyu Liu, Jiwei Wei, Guan Wang, Zhenjiang Du, Ning Xie,
Heng Tao Shen | Instance-Variant Loss with Gaussian RBF Kernel for 3D Cross-modal
Retriveal | null | null | null | null | cs.CV cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | 3D cross-modal retrieval is gaining attention in the multimedia community.
Central to this topic is learning a joint embedding space to represent data
from different modalities, such as images, 3D point clouds, and polygon meshes,
to extract modality-invariant and discriminative features. Hence, the
performance of cr... | [
{
"created": "Sun, 7 May 2023 10:12:14 GMT",
"version": "v1"
}
] | 2023-05-09 | [
[
"Liu",
"Zhitao",
""
],
[
"Liu",
"Zengyu",
""
],
[
"Wei",
"Jiwei",
""
],
[
"Wang",
"Guan",
""
],
[
"Du",
"Zhenjiang",
""
],
[
"Xie",
"Ning",
""
],
[
"Shen",
"Heng Tao",
""
]
] | 3D cross-modal retrieval is gaining attention in the multimedia community. Central to this topic is learning a joint embedding space to represent data from different modalities, such as images, 3D point clouds, and polygon meshes, to extract modality-invariant and discriminative features. Hence, the performance of cros... |
2010.01150 | Xiang Dai | Xiang Dai and Sarvnaz Karimi and Ben Hachey and Cecile Paris | Cost-effective Selection of Pretraining Data: A Case Study of
Pretraining BERT on Social Media | Findings of EMNLP 2020 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Recent studies on domain-specific BERT models show that effectiveness on
downstream tasks can be improved when models are pretrained on in-domain data.
Often, the pretraining data used in these models are selected based on their
subject matter, e.g., biology or computer science. Given the range of
applications using ... | [
{
"created": "Fri, 2 Oct 2020 18:06:31 GMT",
"version": "v1"
}
] | 2020-10-06 | [
[
"Dai",
"Xiang",
""
],
[
"Karimi",
"Sarvnaz",
""
],
[
"Hachey",
"Ben",
""
],
[
"Paris",
"Cecile",
""
]
] | Recent studies on domain-specific BERT models show that effectiveness on downstream tasks can be improved when models are pretrained on in-domain data. Often, the pretraining data used in these models are selected based on their subject matter, e.g., biology or computer science. Given the range of applications using so... |
2405.18042 | Youngwan Lee | Youngwan Lee, Jeffrey Ryan Willette, Jonghee Kim, Sung Ju Hwang | Visualizing the loss landscape of Self-supervised Vision Transformer | NeurIPS 2023 Workshop: Self-Supervised Learning - Theory and Practice | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The Masked autoencoder (MAE) has drawn attention as a representative
self-supervised approach for masked image modeling with vision transformers.
However, even though MAE shows better generalization capability than fully
supervised training from scratch, the reason why has not been explored. In
another line of work, ... | [
{
"created": "Tue, 28 May 2024 10:54:26 GMT",
"version": "v1"
}
] | 2024-05-29 | [
[
"Lee",
"Youngwan",
""
],
[
"Willette",
"Jeffrey Ryan",
""
],
[
"Kim",
"Jonghee",
""
],
[
"Hwang",
"Sung Ju",
""
]
] | The Masked autoencoder (MAE) has drawn attention as a representative self-supervised approach for masked image modeling with vision transformers. However, even though MAE shows better generalization capability than fully supervised training from scratch, the reason why has not been explored. In another line of work, th... |
1906.04279 | Zhizhou Ren | Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, Jian Peng | Exploration via Hindsight Goal Generation | Thirty-third Conference on Neural Information Processing Systems
(NeurIPS 2019) | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Goal-oriented reinforcement learning has recently been a practical framework
for robotic manipulation tasks, in which an agent is required to reach a
certain goal defined by a function on the state space. However, the sparsity of
such reward definition makes traditional reinforcement learning algorithms very
ineffici... | [
{
"created": "Mon, 10 Jun 2019 21:21:18 GMT",
"version": "v1"
},
{
"created": "Thu, 5 Dec 2019 05:35:33 GMT",
"version": "v2"
},
{
"created": "Wed, 18 Dec 2019 04:31:39 GMT",
"version": "v3"
}
] | 2019-12-19 | [
[
"Ren",
"Zhizhou",
""
],
[
"Dong",
"Kefan",
""
],
[
"Zhou",
"Yuan",
""
],
[
"Liu",
"Qiang",
""
],
[
"Peng",
"Jian",
""
]
] | Goal-oriented reinforcement learning has recently been a practical framework for robotic manipulation tasks, in which an agent is required to reach a certain goal defined by a function on the state space. However, the sparsity of such reward definition makes traditional reinforcement learning algorithms very inefficien... |
2112.13099 | Amir Shaikhha | Amir Shaikhha, Marios Kelepeshis, Mahdi Ghorbani | Fine-Tuning Data Structures for Analytical Query Processing | null | null | null | null | cs.DB cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a framework for automatically choosing data structures to
support efficient computation of analytical workloads. Our contributions are
twofold. First, we introduce a novel low-level intermediate language that can
express the algorithms behind various query processing paradigms such as
classical joins, gr... | [
{
"created": "Fri, 24 Dec 2021 16:36:35 GMT",
"version": "v1"
}
] | 2021-12-28 | [
[
"Shaikhha",
"Amir",
""
],
[
"Kelepeshis",
"Marios",
""
],
[
"Ghorbani",
"Mahdi",
""
]
] | We introduce a framework for automatically choosing data structures to support efficient computation of analytical workloads. Our contributions are twofold. First, we introduce a novel low-level intermediate language that can express the algorithms behind various query processing paradigms such as classical joins, grou... |
1503.05992 | Sugata Sanyal | Subhamoy Chakraborti, D. P. Acharjya, Sugata Sanyal | Application Security framework for Mobile App Development in Enterprise
setup | 7 pages | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Enterprise Mobility has been increasing the reach over the years. Initially
Mobile devices were adopted as consumer devices. However, the enterprises world
over have rightly taken the leap and started using the ubiquitous technology
for managing its employees as well as to reach out to the customers. While the
Mobile... | [
{
"created": "Fri, 20 Mar 2015 04:55:50 GMT",
"version": "v1"
}
] | 2015-03-23 | [
[
"Chakraborti",
"Subhamoy",
""
],
[
"Acharjya",
"D. P.",
""
],
[
"Sanyal",
"Sugata",
""
]
] | Enterprise Mobility has been increasing the reach over the years. Initially Mobile devices were adopted as consumer devices. However, the enterprises world over have rightly taken the leap and started using the ubiquitous technology for managing its employees as well as to reach out to the customers. While the Mobile e... |
2209.07000 | Shikhar Singh | Shikhar Singh, Ehsan Qasemi, Muhao Chen | VIPHY: Probing "Visible" Physical Commonsense Knowledge | In Progress (under review) | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | In recent years, vision-language models (VLMs) have shown remarkable
performance on visual reasoning tasks (e.g. attributes, location). While such
tasks measure the requisite knowledge to ground and reason over a given visual
instance, they do not, however, measure the ability of VLMs to retain and
generalize such kn... | [
{
"created": "Thu, 15 Sep 2022 02:06:25 GMT",
"version": "v1"
}
] | 2022-09-16 | [
[
"Singh",
"Shikhar",
""
],
[
"Qasemi",
"Ehsan",
""
],
[
"Chen",
"Muhao",
""
]
] | In recent years, vision-language models (VLMs) have shown remarkable performance on visual reasoning tasks (e.g. attributes, location). While such tasks measure the requisite knowledge to ground and reason over a given visual instance, they do not, however, measure the ability of VLMs to retain and generalize such know... |
2308.10962 | Adrian Boedtker Ghansah | Adrian B. Ghansah, Jeeseop Kim, Maegan Tucker, Aaron D. Ames | Humanoid Robot Co-Design: Coupling Hardware Design with Gait Generation
via Hybrid Zero Dynamics | 7 pages, 6 figures, accepted to CDC 2023 | null | null | null | cs.RO math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Selecting robot design parameters can be challenging since these parameters
are often coupled with the performance of the controller and, therefore, the
resulting capabilities of the robot. This leads to a time-consuming and often
expensive process whereby one iterates between designing the robot and manually
evaluat... | [
{
"created": "Mon, 21 Aug 2023 18:15:47 GMT",
"version": "v1"
}
] | 2023-08-23 | [
[
"Ghansah",
"Adrian B.",
""
],
[
"Kim",
"Jeeseop",
""
],
[
"Tucker",
"Maegan",
""
],
[
"Ames",
"Aaron D.",
""
]
] | Selecting robot design parameters can be challenging since these parameters are often coupled with the performance of the controller and, therefore, the resulting capabilities of the robot. This leads to a time-consuming and often expensive process whereby one iterates between designing the robot and manually evaluatin... |
1911.01156 | Alun Preece | Frank Stein, Alun Preece | AAAI FSS-19: Artificial Intelligence in Government and Public Sector
Proceedings | Post-symposium proceedings including 18 papers | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Proceedings of the AAAI Fall Symposium on Artificial Intelligence in
Government and Public Sector, Arlington, Virginia, USA, November 7-8, 2019
| [
{
"created": "Mon, 4 Nov 2019 12:26:51 GMT",
"version": "v1"
},
{
"created": "Thu, 28 Nov 2019 08:07:11 GMT",
"version": "v2"
}
] | 2019-12-02 | [
[
"Stein",
"Frank",
""
],
[
"Preece",
"Alun",
""
]
] | Proceedings of the AAAI Fall Symposium on Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA, November 7-8, 2019 |
1107.3245 | Piotr Frackiewicz | Piotr Frackiewicz | Quantum information approach to normal representation of extensive games | null | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We modify the concept of quantum strategic game to make it useful for
extensive form games. We prove that our modification allows to consider the
normal representation of any finite extensive game using the fundamental
concepts of quantum information. The Selten's Horse game and the general form
of two-stage extensiv... | [
{
"created": "Sat, 16 Jul 2011 18:42:17 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Jul 2011 05:59:25 GMT",
"version": "v2"
}
] | 2011-07-20 | [
[
"Frackiewicz",
"Piotr",
""
]
] | We modify the concept of quantum strategic game to make it useful for extensive form games. We prove that our modification allows to consider the normal representation of any finite extensive game using the fundamental concepts of quantum information. The Selten's Horse game and the general form of two-stage extensive ... |
2008.07956 | Farhan Khawar | Farhan Khawar, Leonard Kin Man Poon, Nevin Lianwen Zhang | Learning the Structure of Auto-Encoding Recommenders | Proceedings of The Web Conference 2020 | null | 10.1145/3366423.3380135 | null | cs.IR cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Autoencoder recommenders have recently shown state-of-the-art performance in
the recommendation task due to their ability to model non-linear item
relationships effectively. However, existing autoencoder recommenders use
fully-connected neural network layers and do not employ structure learning.
This can lead to inef... | [
{
"created": "Tue, 18 Aug 2020 14:37:40 GMT",
"version": "v1"
}
] | 2020-08-19 | [
[
"Khawar",
"Farhan",
""
],
[
"Poon",
"Leonard Kin Man",
""
],
[
"Zhang",
"Nevin Lianwen",
""
]
] | Autoencoder recommenders have recently shown state-of-the-art performance in the recommendation task due to their ability to model non-linear item relationships effectively. However, existing autoencoder recommenders use fully-connected neural network layers and do not employ structure learning. This can lead to ineffi... |
2210.07312 | Md Masudur Rahman | Md Masudur Rahman, Yexiang Xue | Bootstrap Advantage Estimation for Policy Optimization in Reinforcement
Learning | Accepted at IEEE ICMLA 2022 | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes an advantage estimation approach based on data
augmentation for policy optimization. Unlike using data augmentation on the
input to learn value and policy function as existing methods use, our method
uses data augmentation to compute a bootstrap advantage estimation. This
Bootstrap Advantage Estim... | [
{
"created": "Thu, 13 Oct 2022 19:30:43 GMT",
"version": "v1"
}
] | 2022-10-17 | [
[
"Rahman",
"Md Masudur",
""
],
[
"Xue",
"Yexiang",
""
]
] | This paper proposes an advantage estimation approach based on data augmentation for policy optimization. Unlike using data augmentation on the input to learn value and policy function as existing methods use, our method uses data augmentation to compute a bootstrap advantage estimation. This Bootstrap Advantage Estimat... |
2211.05184 | Zishan Gu | Zishan Gu, Jintang Li and Liang Chen | Are All Edges Necessary? A Unified Framework for Graph Purification | null | null | null | null | cs.SI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Graph Neural Networks (GNNs) as deep learning models working on
graph-structure data have achieved advanced performance in many works. However,
it has been proved repeatedly that, not all edges in a graph are necessary for
the training of machine learning models. In other words, some of the
connections between nodes ... | [
{
"created": "Wed, 9 Nov 2022 20:28:25 GMT",
"version": "v1"
}
] | 2022-11-11 | [
[
"Gu",
"Zishan",
""
],
[
"Li",
"Jintang",
""
],
[
"Chen",
"Liang",
""
]
] | Graph Neural Networks (GNNs) as deep learning models working on graph-structure data have achieved advanced performance in many works. However, it has been proved repeatedly that, not all edges in a graph are necessary for the training of machine learning models. In other words, some of the connections between nodes ma... |
0809.3352 | Steffen Kuehn | Steffen Kuehn | Generalized Prediction Intervals for Arbitrary Distributed
High-Dimensional Data | 13 pages, 3 figures | null | null | null | cs.CV cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper generalizes the traditional statistical concept of prediction
intervals for arbitrary probability density functions in high-dimensional
feature spaces by introducing significance level distributions, which provides
interval-independent probabilities for continuous random variables. The
advantage of the tra... | [
{
"created": "Fri, 19 Sep 2008 11:02:39 GMT",
"version": "v1"
}
] | 2008-09-22 | [
[
"Kuehn",
"Steffen",
""
]
] | This paper generalizes the traditional statistical concept of prediction intervals for arbitrary probability density functions in high-dimensional feature spaces by introducing significance level distributions, which provides interval-independent probabilities for continuous random variables. The advantage of the trans... |
1809.09912 | Maarten Vanhoof | Maarten Vanhoof, Thomas Ploetz, Zbigniew Smoreda | Geographical veracity of indicators derived from mobile phone data | 4 pages, 3 figures, 2 tables. Short paper contributed to the Netmob
2017 conference in Milan | null | null | null | cs.CY | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In this contribution we summarize insights on the geographical veracity of
using mobile phone data to create (statistical) indicators. We focus on
problems that persist with spatial allocation, spatial delineation and spatial
aggregation of information obtained from mobile phone data. For each of the
cases, we offer ... | [
{
"created": "Wed, 26 Sep 2018 11:24:37 GMT",
"version": "v1"
}
] | 2018-09-27 | [
[
"Vanhoof",
"Maarten",
""
],
[
"Ploetz",
"Thomas",
""
],
[
"Smoreda",
"Zbigniew",
""
]
] | In this contribution we summarize insights on the geographical veracity of using mobile phone data to create (statistical) indicators. We focus on problems that persist with spatial allocation, spatial delineation and spatial aggregation of information obtained from mobile phone data. For each of the cases, we offer in... |
2305.06361 | Chenguang Wang | Chenguang Wang, Tianshu Yu | Efficient Training of Multi-task Combinarotial Neural Solver with
Multi-armed Bandits | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Efficiently training a multi-task neural solver for various combinatorial
optimization problems (COPs) has been less studied so far. In this paper, we
propose a general and efficient training paradigm based on multi-armed bandits
to deliver a unified combinarotial multi-task neural solver. To this end, we
resort to t... | [
{
"created": "Wed, 10 May 2023 14:20:34 GMT",
"version": "v1"
},
{
"created": "Mon, 9 Oct 2023 06:35:46 GMT",
"version": "v2"
}
] | 2023-10-10 | [
[
"Wang",
"Chenguang",
""
],
[
"Yu",
"Tianshu",
""
]
] | Efficiently training a multi-task neural solver for various combinatorial optimization problems (COPs) has been less studied so far. In this paper, we propose a general and efficient training paradigm based on multi-armed bandits to deliver a unified combinarotial multi-task neural solver. To this end, we resort to the... |
2403.16898 | Jialun Cao | Jialun Cao and Wuqi Zhang and Shing-Chi Cheung | Concerned with Data Contamination? Assessing Countermeasures in Code
Language Model | Adjust the format so that the layout looks better | null | null | null | cs.SE cs.CR | http://creativecommons.org/licenses/by/4.0/ | Various techniques have been proposed to leverage the capabilities of code
language models (CLMs) for SE tasks. While these techniques typically evaluate
their effectiveness using publicly available datasets, the evaluation can be
subject to data contamination threats where the evaluation datasets have
already been u... | [
{
"created": "Mon, 25 Mar 2024 16:10:25 GMT",
"version": "v1"
},
{
"created": "Thu, 28 Mar 2024 05:00:47 GMT",
"version": "v2"
}
] | 2024-03-29 | [
[
"Cao",
"Jialun",
""
],
[
"Zhang",
"Wuqi",
""
],
[
"Cheung",
"Shing-Chi",
""
]
] | Various techniques have been proposed to leverage the capabilities of code language models (CLMs) for SE tasks. While these techniques typically evaluate their effectiveness using publicly available datasets, the evaluation can be subject to data contamination threats where the evaluation datasets have already been use... |
2106.03412 | Silvia-Laura Pintea | Silvia L.Pintea and Nergis Tomen and Stanley F. Goes and Marco Loog
and Jan C. van Gemert | Resolution learning in deep convolutional networks using scale-space
theory | Preprint accepted by IEEE Transactions on Image Processing, 2021
(TIP). Link to final published article:
https://ieeexplore.ieee.org/abstract/document/9552550 | IEEE Transactions on Image Processing, vol. 30, pp. 8342-8353,
2021 | 10.1109/TIP.2021.3115001 | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Resolution in deep convolutional neural networks (CNNs) is typically bounded
by the receptive field size through filter sizes, and subsampling layers or
strided convolutions on feature maps. The optimal resolution may vary
significantly depending on the dataset. Modern CNNs hard-code their resolution
hyper-parameters... | [
{
"created": "Mon, 7 Jun 2021 08:23:02 GMT",
"version": "v1"
},
{
"created": "Wed, 30 Jun 2021 14:08:16 GMT",
"version": "v2"
},
{
"created": "Tue, 24 Oct 2023 14:22:39 GMT",
"version": "v3"
}
] | 2023-10-25 | [
[
"Pintea",
"Silvia L.",
""
],
[
"Tomen",
"Nergis",
""
],
[
"Goes",
"Stanley F.",
""
],
[
"Loog",
"Marco",
""
],
[
"van Gemert",
"Jan C.",
""
]
] | Resolution in deep convolutional neural networks (CNNs) is typically bounded by the receptive field size through filter sizes, and subsampling layers or strided convolutions on feature maps. The optimal resolution may vary significantly depending on the dataset. Modern CNNs hard-code their resolution hyper-parameters i... |
1811.07628 | Goutam Bhat | Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg | ATOM: Accurate Tracking by Overlap Maximization | CVPR 2019 (Oral). Complete code and models are available at
https://github.com/visionml/pytracking | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While recent years have witnessed astonishing improvements in visual tracking
robustness, the advancements in tracking accuracy have been limited. As the
focus has been directed towards the development of powerful classifiers, the
problem of accurate target state estimation has been largely overlooked. In
fact, most ... | [
{
"created": "Mon, 19 Nov 2018 11:40:17 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Apr 2019 17:56:18 GMT",
"version": "v2"
}
] | 2019-04-12 | [
[
"Danelljan",
"Martin",
""
],
[
"Bhat",
"Goutam",
""
],
[
"Khan",
"Fahad Shahbaz",
""
],
[
"Felsberg",
"Michael",
""
]
] | While recent years have witnessed astonishing improvements in visual tracking robustness, the advancements in tracking accuracy have been limited. As the focus has been directed towards the development of powerful classifiers, the problem of accurate target state estimation has been largely overlooked. In fact, most tr... |
2004.14503 | Ji Ma | Ji Ma, Ivan Korotkov, Yinfei Yang, Keith Hall and Ryan McDonald | Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic
Question Generation | 14 pages, 4 figures | null | null | null | cs.IR cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A major obstacle to the wide-spread adoption of neural retrieval models is
that they require large supervised training sets to surpass traditional
term-based techniques, which are constructed from raw corpora. In this paper,
we propose an approach to zero-shot learning for passage retrieval that uses
synthetic questi... | [
{
"created": "Wed, 29 Apr 2020 22:21:31 GMT",
"version": "v1"
},
{
"created": "Sat, 23 Jan 2021 13:29:55 GMT",
"version": "v2"
},
{
"created": "Wed, 27 Jan 2021 16:04:12 GMT",
"version": "v3"
}
] | 2021-01-28 | [
[
"Ma",
"Ji",
""
],
[
"Korotkov",
"Ivan",
""
],
[
"Yang",
"Yinfei",
""
],
[
"Hall",
"Keith",
""
],
[
"McDonald",
"Ryan",
""
]
] | A major obstacle to the wide-spread adoption of neural retrieval models is that they require large supervised training sets to surpass traditional term-based techniques, which are constructed from raw corpora. In this paper, we propose an approach to zero-shot learning for passage retrieval that uses synthetic question... |
2203.15215 | Li Ni | Li Ni, Hefei Xu, Yiwen Zhang and Wenjian Luo | Spatial-Aware Local Community Detection Guided by Dominance Relation | null | null | null | null | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The problem of finding the spatial-aware community for a given node has been
defined and investigated in geo-social networks. However, existing studies
suffer from two limitations: a) the criteria of defining communities are
determined by parameters, which are difficult to set; b) algorithms may require
global inform... | [
{
"created": "Tue, 29 Mar 2022 03:16:14 GMT",
"version": "v1"
}
] | 2022-03-30 | [
[
"Ni",
"Li",
""
],
[
"Xu",
"Hefei",
""
],
[
"Zhang",
"Yiwen",
""
],
[
"Luo",
"Wenjian",
""
]
] | The problem of finding the spatial-aware community for a given node has been defined and investigated in geo-social networks. However, existing studies suffer from two limitations: a) the criteria of defining communities are determined by parameters, which are difficult to set; b) algorithms may require global informat... |
2203.08565 | Valentin Hofmann | Valentin Hofmann, Goran Glava\v{s}, Nikola Ljube\v{s}i\'c, Janet B.
Pierrehumbert, Hinrich Sch\"utze | Geographic Adaptation of Pretrained Language Models | TACL 2024 (pre-MIT Press publication version) | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While pretrained language models (PLMs) have been shown to possess a plethora
of linguistic knowledge, the existing body of research has largely neglected
extralinguistic knowledge, which is generally difficult to obtain by
pretraining on text alone. Here, we contribute to closing this gap by examining
geolinguistic ... | [
{
"created": "Wed, 16 Mar 2022 11:55:00 GMT",
"version": "v1"
},
{
"created": "Mon, 2 Jan 2023 00:20:48 GMT",
"version": "v2"
},
{
"created": "Sun, 28 Jan 2024 22:57:45 GMT",
"version": "v3"
}
] | 2024-01-30 | [
[
"Hofmann",
"Valentin",
""
],
[
"Glavaš",
"Goran",
""
],
[
"Ljubešić",
"Nikola",
""
],
[
"Pierrehumbert",
"Janet B.",
""
],
[
"Schütze",
"Hinrich",
""
]
] | While pretrained language models (PLMs) have been shown to possess a plethora of linguistic knowledge, the existing body of research has largely neglected extralinguistic knowledge, which is generally difficult to obtain by pretraining on text alone. Here, we contribute to closing this gap by examining geolinguistic kn... |
2203.11604 | Pawel Sroka | Pawe{\l} Sroka, Pawe{\l} Kryszkiewicz, Adrian Kliks | Radio Environment Maps for Dynamic Frequency Selection in V2X
Communications | null | 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring),
2020 | 10.1109/VTC2020-Spring48590.2020.9128655 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we investigate the concept of database supported Vehicular
Dynamic Spectrum Access (VDSA) for platooning. As various researchers show that
the 5.9 GHz band, devoted for Intelligent Transportation Systems, may suffer
from congestion of the channel, we propose to offload part of this traffic to
white-spa... | [
{
"created": "Tue, 22 Mar 2022 10:39:40 GMT",
"version": "v1"
}
] | 2022-03-23 | [
[
"Sroka",
"Paweł",
""
],
[
"Kryszkiewicz",
"Paweł",
""
],
[
"Kliks",
"Adrian",
""
]
] | In this paper, we investigate the concept of database supported Vehicular Dynamic Spectrum Access (VDSA) for platooning. As various researchers show that the 5.9 GHz band, devoted for Intelligent Transportation Systems, may suffer from congestion of the channel, we propose to offload part of this traffic to white-space... |
2203.00508 | Zhong Tian | Zhong Tian, Zhengchuan Chen, Min Wang, Yunjian Jia, and Wanli Wen | Reconfigurable Intelligent Surface-Aided Spectrum Sharing Coexisting
with Multiple Primary Networks | null | null | null | null | cs.IT eess.SP math.IT | http://creativecommons.org/publicdomain/zero/1.0/ | Considering the spectrum sharing system (SSS) coexisting with multiple
primary networks, we have employed a well-designed reconfigurable intelligent
surface (RIS) to control the radio environments of wireless channels and
relieve the scarcity of the spectrum resource in this work. Specifically, the
enhancement of the... | [
{
"created": "Tue, 1 Mar 2022 14:53:13 GMT",
"version": "v1"
},
{
"created": "Fri, 4 Nov 2022 04:55:35 GMT",
"version": "v2"
}
] | 2022-11-07 | [
[
"Tian",
"Zhong",
""
],
[
"Chen",
"Zhengchuan",
""
],
[
"Wang",
"Min",
""
],
[
"Jia",
"Yunjian",
""
],
[
"Wen",
"Wanli",
""
]
] | Considering the spectrum sharing system (SSS) coexisting with multiple primary networks, we have employed a well-designed reconfigurable intelligent surface (RIS) to control the radio environments of wireless channels and relieve the scarcity of the spectrum resource in this work. Specifically, the enhancement of the s... |
1310.5497 | Jocelyne Troccaz | Emmanuel Promayon (TIMC-IMAG), Celine Fouard (TIMC-IMAG), Mathieu
Bailet (TIMC-IMAG), Aurelien Deram (TIMC-IMAG), Gaelle Fiard, Nikolai Hungr
(TIMC-IMAG), Vincent Luboz (TIMC-IMAG), Yohan Payan (TIMC-IMAG), Johan
Sarrazin (TIMC-IMAG), Nicolas Saubat (TIMC-IMAG), Sonia Yuki Selmi
(TIMC-IMAG), Sandrine Voros (TIM... | Using CamiTK for rapid prototyping of interactive Computer Assisted
Medical Intervention applications | null | Conference proceedings : Annual International Conference of the
IEEE Engineering in Medicine and Biology Society. 2013 (2013) 4933-6 | 10.1109/EMBC.2013.6610654 | null | cs.OH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Computer Assisted Medical Intervention (CAMI hereafter) is a complex
multi-disciplinary field. CAMI research requires the collaboration of experts
in several fields as diverse as medicine, computer science, mathematics,
instrumentation, signal processing, mechanics, modeling, automatics, optics,
etc.
| [
{
"created": "Mon, 21 Oct 2013 10:40:02 GMT",
"version": "v1"
}
] | 2013-10-22 | [
[
"Promayon",
"Emmanuel",
"",
"TIMC-IMAG"
],
[
"Fouard",
"Celine",
"",
"TIMC-IMAG"
],
[
"Bailet",
"Mathieu",
"",
"TIMC-IMAG"
],
[
"Deram",
"Aurelien",
"",
"TIMC-IMAG"
],
[
"Fiard",
"Gaelle",
"",
"TIMC-IMAG"
],
[
... | Computer Assisted Medical Intervention (CAMI hereafter) is a complex multi-disciplinary field. CAMI research requires the collaboration of experts in several fields as diverse as medicine, computer science, mathematics, instrumentation, signal processing, mechanics, modeling, automatics, optics, etc. |
2406.03894 | Yaozhong Gan | Yaozhong Gan, Renye Yan, Xiaoyang Tan, Zhe Wu, Junliang Xing | Transductive Off-policy Proximal Policy Optimization | 18 | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Proximal Policy Optimization (PPO) is a popular model-free reinforcement
learning algorithm, esteemed for its simplicity and efficacy. However, due to
its inherent on-policy nature, its proficiency in harnessing data from
disparate policies is constrained. This paper introduces a novel off-policy
extension to the ori... | [
{
"created": "Thu, 6 Jun 2024 09:29:40 GMT",
"version": "v1"
}
] | 2024-06-07 | [
[
"Gan",
"Yaozhong",
""
],
[
"Yan",
"Renye",
""
],
[
"Tan",
"Xiaoyang",
""
],
[
"Wu",
"Zhe",
""
],
[
"Xing",
"Junliang",
""
]
] | Proximal Policy Optimization (PPO) is a popular model-free reinforcement learning algorithm, esteemed for its simplicity and efficacy. However, due to its inherent on-policy nature, its proficiency in harnessing data from disparate policies is constrained. This paper introduces a novel off-policy extension to the origi... |
2009.02018 | DongGyu Joo | Doyeon Kim, Donggyu Joo, Junmo Kim | TiVGAN: Text to Image to Video Generation with Step-by-Step Evolutionary
Generator | IEEE Access | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Advances in technology have led to the development of methods that can create
desired visual multimedia. In particular, image generation using deep learning
has been extensively studied across diverse fields. In comparison, video
generation, especially on conditional inputs, remains a challenging and less
explored ar... | [
{
"created": "Fri, 4 Sep 2020 06:33:08 GMT",
"version": "v1"
},
{
"created": "Mon, 28 Jun 2021 00:25:23 GMT",
"version": "v2"
}
] | 2021-06-29 | [
[
"Kim",
"Doyeon",
""
],
[
"Joo",
"Donggyu",
""
],
[
"Kim",
"Junmo",
""
]
] | Advances in technology have led to the development of methods that can create desired visual multimedia. In particular, image generation using deep learning has been extensively studied across diverse fields. In comparison, video generation, especially on conditional inputs, remains a challenging and less explored area... |
2008.09817 | Elizabeth Huang | Elizabeth Y. Huang and Dario Paccagnan and Wenjun Mei and Francesco
Bullo | Assign and Appraise: Achieving Optimal Performance in Collaborative
Teams | null | null | null | null | cs.SI cs.SY eess.SY math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Tackling complex team problems requires understanding each team member's
skills in order to devise a task assignment maximizing the team performance.
This paper proposes a novel quantitative model describing the decentralized
process by which individuals in a team learn who has what abilities, while
concurrently assi... | [
{
"created": "Sat, 22 Aug 2020 11:39:09 GMT",
"version": "v1"
}
] | 2020-08-25 | [
[
"Huang",
"Elizabeth Y.",
""
],
[
"Paccagnan",
"Dario",
""
],
[
"Mei",
"Wenjun",
""
],
[
"Bullo",
"Francesco",
""
]
] | Tackling complex team problems requires understanding each team member's skills in order to devise a task assignment maximizing the team performance. This paper proposes a novel quantitative model describing the decentralized process by which individuals in a team learn who has what abilities, while concurrently assign... |
1608.01373 | Lin Li | Lin Li and W.M. Campbell | Matching Community Structure Across Online Social Networks | null | Workshop on Networks in the Social and Information Sciences, NIPS
2015 | null | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The discovery of community structure in networks is a problem of considerable
interest in recent years. In online social networks, often times, users are
simultaneously involved in multiple social media sites, some of which share
common social relationships. It is of great interest to uncover a shared
community struc... | [
{
"created": "Wed, 3 Aug 2016 22:02:29 GMT",
"version": "v1"
}
] | 2016-08-05 | [
[
"Li",
"Lin",
""
],
[
"Campbell",
"W. M.",
""
]
] | The discovery of community structure in networks is a problem of considerable interest in recent years. In online social networks, often times, users are simultaneously involved in multiple social media sites, some of which share common social relationships. It is of great interest to uncover a shared community structu... |
1711.00244 | Anamitra R. Choudhury | Dharma Teja Vooturi, Saurabh Goyal, Anamitra R. Choudhury, Yogish
Sabharwal, Ashish Verma | Efficient Inferencing of Compressed Deep Neural Networks | null | null | null | null | cs.DC cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large number of weights in deep neural networks makes the models difficult to
be deployed in low memory environments such as, mobile phones, IOT edge devices
as well as "inferencing as a service" environments on cloud. Prior work has
considered reduction in the size of the models, through compression techniques
like ... | [
{
"created": "Wed, 1 Nov 2017 08:16:40 GMT",
"version": "v1"
}
] | 2017-11-02 | [
[
"Vooturi",
"Dharma Teja",
""
],
[
"Goyal",
"Saurabh",
""
],
[
"Choudhury",
"Anamitra R.",
""
],
[
"Sabharwal",
"Yogish",
""
],
[
"Verma",
"Ashish",
""
]
] | Large number of weights in deep neural networks makes the models difficult to be deployed in low memory environments such as, mobile phones, IOT edge devices as well as "inferencing as a service" environments on cloud. Prior work has considered reduction in the size of the models, through compression techniques like pr... |
2211.05446 | Meng Chen | Meng Chen, Li Lu, Jiadi Yu, Yingying Chen, Zhongjie Ba, Feng Lin, Kui
Ren | Privacy-Utility Balanced Voice De-Identification Using Adversarial
Examples | null | null | null | null | cs.SD cs.CR cs.LG eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Faced with the threat of identity leakage during voice data publishing, users
are engaged in a privacy-utility dilemma when enjoying convenient voice
services. Existing studies employ direct modification or text-based
re-synthesis to de-identify users' voices, but resulting in inconsistent
audibility in the presence ... | [
{
"created": "Thu, 10 Nov 2022 09:35:58 GMT",
"version": "v1"
}
] | 2022-11-11 | [
[
"Chen",
"Meng",
""
],
[
"Lu",
"Li",
""
],
[
"Yu",
"Jiadi",
""
],
[
"Chen",
"Yingying",
""
],
[
"Ba",
"Zhongjie",
""
],
[
"Lin",
"Feng",
""
],
[
"Ren",
"Kui",
""
]
] | Faced with the threat of identity leakage during voice data publishing, users are engaged in a privacy-utility dilemma when enjoying convenient voice services. Existing studies employ direct modification or text-based re-synthesis to de-identify users' voices, but resulting in inconsistent audibility in the presence of... |
1802.08130 | Jos\'e Vuelvas | Jos\'e Vuelvas and Fredy Ruiz | A novel incentive-based demand response model for Cournot competition in
electricity markets | null | Vuelvas, J. & Ruiz, F. Energy Syst (2018).
https://doi.org/10.1007/s12667-018-0271-2 | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents an analysis of competition between generators when
incentive-based demand response is employed in an electricity market. Thermal
and hydropower generation are considered in the model. A smooth inverse demand
function is designed using a sigmoid and two linear functions for modeling the
consumer pr... | [
{
"created": "Thu, 22 Feb 2018 16:12:09 GMT",
"version": "v1"
}
] | 2018-02-23 | [
[
"Vuelvas",
"José",
""
],
[
"Ruiz",
"Fredy",
""
]
] | This paper presents an analysis of competition between generators when incentive-based demand response is employed in an electricity market. Thermal and hydropower generation are considered in the model. A smooth inverse demand function is designed using a sigmoid and two linear functions for modeling the consumer pref... |
2210.16074 | David Biesner | David Biesner, Helen Schneider, Benjamin Wulff, Ulrike Attenberger,
Rafet Sifa | Improving Chest X-Ray Classification by RNN-based Patient Monitoring | To be published in proceedings of IEEE International Conference on
Machine Learning Applications IEEE ICMLA 2022 | null | null | null | cs.LG cs.CV | http://creativecommons.org/licenses/by/4.0/ | Chest X-Ray imaging is one of the most common radiological tools for
detection of various pathologies related to the chest area and lung function.
In a clinical setting, automated assessment of chest radiographs has the
potential of assisting physicians in their decision making process and optimize
clinical workflows... | [
{
"created": "Fri, 28 Oct 2022 11:47:15 GMT",
"version": "v1"
}
] | 2022-10-31 | [
[
"Biesner",
"David",
""
],
[
"Schneider",
"Helen",
""
],
[
"Wulff",
"Benjamin",
""
],
[
"Attenberger",
"Ulrike",
""
],
[
"Sifa",
"Rafet",
""
]
] | Chest X-Ray imaging is one of the most common radiological tools for detection of various pathologies related to the chest area and lung function. In a clinical setting, automated assessment of chest radiographs has the potential of assisting physicians in their decision making process and optimize clinical workflows, ... |
1501.02967 | Thanh Bui | Thanh Bui | Analysis of Docker Security | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Over the last few years, the use of virtualization technologies has increased
dramatically. This makes the demand for efficient and secure virtualization
solutions become more obvious. Container-based virtualization and
hypervisor-based virtualization are two main types of virtualization
technologies that have emerge... | [
{
"created": "Tue, 13 Jan 2015 11:44:02 GMT",
"version": "v1"
}
] | 2015-01-14 | [
[
"Bui",
"Thanh",
""
]
] | Over the last few years, the use of virtualization technologies has increased dramatically. This makes the demand for efficient and secure virtualization solutions become more obvious. Container-based virtualization and hypervisor-based virtualization are two main types of virtualization technologies that have emerged ... |
2105.04328 | Indrajit Kurmi | D.C. Schedl, I. Kurmi, and O. Bimber | An Autonomous Drone for Search and Rescue in Forests using Airborne
Optical Sectioning | 21 pages, 9 figures | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Drones will play an essential role in human-machine teaming in future search
and rescue (SAR) missions. We present a first prototype that finds people fully
autonomously in densely occluded forests. In the course of 17 field experiments
conducted over various forest types and under different flying conditions, our
dr... | [
{
"created": "Mon, 10 May 2021 13:05:22 GMT",
"version": "v1"
}
] | 2021-05-11 | [
[
"Schedl",
"D. C.",
""
],
[
"Kurmi",
"I.",
""
],
[
"Bimber",
"O.",
""
]
] | Drones will play an essential role in human-machine teaming in future search and rescue (SAR) missions. We present a first prototype that finds people fully autonomously in densely occluded forests. In the course of 17 field experiments conducted over various forest types and under different flying conditions, our dron... |
1201.1812 | Jiun-Hung Yu | Jiun-Hung Yu and Hans-Andrea Loeliger | On Polynomial Remainder Codes | null | null | null | null | cs.IT math.IT math.RA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Polynomial remainder codes are a large class of codes derived from the
Chinese remainder theorem that includes Reed-Solomon codes as a special case.
In this paper, we revisit these codes and study them more carefully than in
previous work. We explicitly allow the code symbols to be polynomials of
different degrees, w... | [
{
"created": "Mon, 9 Jan 2012 16:00:45 GMT",
"version": "v1"
}
] | 2012-01-10 | [
[
"Yu",
"Jiun-Hung",
""
],
[
"Loeliger",
"Hans-Andrea",
""
]
] | Polynomial remainder codes are a large class of codes derived from the Chinese remainder theorem that includes Reed-Solomon codes as a special case. In this paper, we revisit these codes and study them more carefully than in previous work. We explicitly allow the code symbols to be polynomials of different degrees, whi... |
1210.6685 | Guodong Shi | Guodong Shi, Alexandre Proutiere and Karl Henrik Johansson | Distributed Optimization: Convergence Conditions from a Dynamical System
Perspective | null | null | null | null | cs.SY cs.DC math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper explores the fundamental properties of distributed minimization of
a sum of functions with each function only known to one node, and a
pre-specified level of node knowledge and computational capacity. We define the
optimization information each node receives from its objective function, the
neighboring inf... | [
{
"created": "Wed, 24 Oct 2012 21:28:36 GMT",
"version": "v1"
}
] | 2012-10-26 | [
[
"Shi",
"Guodong",
""
],
[
"Proutiere",
"Alexandre",
""
],
[
"Johansson",
"Karl Henrik",
""
]
] | This paper explores the fundamental properties of distributed minimization of a sum of functions with each function only known to one node, and a pre-specified level of node knowledge and computational capacity. We define the optimization information each node receives from its objective function, the neighboring infor... |
2310.11960 | Yanming Kang | Yanming Kang, Giang Tran, Hans De Sterck | Fast Multipole Attention: A Divide-and-Conquer Attention Mechanism for
Long Sequences | null | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Transformer-based models have achieved state-of-the-art performance in many
areas. However, the quadratic complexity of self-attention with respect to the
input length hinders the applicability of Transformer-based models to long
sequences. To address this, we present Fast Multipole Attention, a new
attention mechani... | [
{
"created": "Wed, 18 Oct 2023 13:40:41 GMT",
"version": "v1"
},
{
"created": "Sat, 21 Oct 2023 01:56:32 GMT",
"version": "v2"
},
{
"created": "Tue, 30 Jul 2024 15:02:51 GMT",
"version": "v3"
}
] | 2024-07-31 | [
[
"Kang",
"Yanming",
""
],
[
"Tran",
"Giang",
""
],
[
"De Sterck",
"Hans",
""
]
] | Transformer-based models have achieved state-of-the-art performance in many areas. However, the quadratic complexity of self-attention with respect to the input length hinders the applicability of Transformer-based models to long sequences. To address this, we present Fast Multipole Attention, a new attention mechanism... |
1910.14026 | Federico Orsini | Federico Orsini, Massimiliano Gastaldi, Luca Mantecchini, Riccardo
Rossi | Neural networks trained with WiFi traces to predict airport passenger
behavior | Post-print of paper presented at the 2019 6th International
Conference on Models and Technologies for Intelligent Transportation Systems
(MT-ITS) | 2019 6th International Conference on Models and Technologies for
Intelligent Transportation Systems (MT-ITS) | 10.1109/MTITS.2019.8883365 | null | cs.LG eess.SP stat.AP stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The use of neural networks to predict airport passenger activity choices
inside the terminal is presented in this paper. Three network architectures are
proposed: Feedforward Neural Networks (FNN), Long Short-Term Memory (LSTM)
networks, and a combination of the two. Inputs to these models are both static
(passenger ... | [
{
"created": "Wed, 30 Oct 2019 08:11:38 GMT",
"version": "v1"
}
] | 2019-11-01 | [
[
"Orsini",
"Federico",
""
],
[
"Gastaldi",
"Massimiliano",
""
],
[
"Mantecchini",
"Luca",
""
],
[
"Rossi",
"Riccardo",
""
]
] | The use of neural networks to predict airport passenger activity choices inside the terminal is presented in this paper. Three network architectures are proposed: Feedforward Neural Networks (FNN), Long Short-Term Memory (LSTM) networks, and a combination of the two. Inputs to these models are both static (passenger an... |
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