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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2303.01272 | Sondre S{\o}rb{\o} | Sondre S{\o}rb{\o} and Massimiliano Ruocco | Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly
Detection in Time Series | 29 pages, 28 figures and tables | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The field of time series anomaly detection is constantly advancing, with
several methods available, making it a challenge to determine the most
appropriate method for a specific domain. The evaluation of these methods is
facilitated by the use of metrics, which vary widely in their properties.
Despite the existence o... | [
{
"created": "Thu, 2 Mar 2023 13:58:06 GMT",
"version": "v1"
}
] | 2023-03-03 | [
[
"Sørbø",
"Sondre",
""
],
[
"Ruocco",
"Massimiliano",
""
]
] | The field of time series anomaly detection is constantly advancing, with several methods available, making it a challenge to determine the most appropriate method for a specific domain. The evaluation of these methods is facilitated by the use of metrics, which vary widely in their properties. Despite the existence of ... |
2202.10545 | Yohan Beugin | Fran\c{c}ois Homps, Yohan Beugin, Romain Vuillemot | ReViVD: Exploration and Filtering of Trajectories in an Immersive
Environment using 3D Shapes | Accepted at IEEE Conference on Virtual Reality and 3D User Interfaces
(VR) 2020 | 2020 IEEE Conference on Virtual Reality and 3D User Interfaces
(VR) | 10.1109/VR46266.2020.00096 | null | cs.HC cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | We present ReViVD, a tool for exploring and filtering large trajectory-based
datasets using virtual reality. ReViVD's novelty lies in using simple 3D shapes
-- such as cuboids, spheres and cylinders -- as queries for users to select and
filter groups of trajectories. Building on this simple paradigm, more complex
que... | [
{
"created": "Mon, 21 Feb 2022 21:58:41 GMT",
"version": "v1"
}
] | 2022-02-23 | [
[
"Homps",
"François",
""
],
[
"Beugin",
"Yohan",
""
],
[
"Vuillemot",
"Romain",
""
]
] | We present ReViVD, a tool for exploring and filtering large trajectory-based datasets using virtual reality. ReViVD's novelty lies in using simple 3D shapes -- such as cuboids, spheres and cylinders -- as queries for users to select and filter groups of trajectories. Building on this simple paradigm, more complex queri... |
2408.07724 | Jacob Miller | Kiran Smelser, Jacob Miller, Stephen Kobourov | "Normalized Stress" is Not Normalized: How to Interpret Stress Correctly | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Stress is among the most commonly employed quality metrics and optimization
criteria for dimension reduction projections of high dimensional data. Complex,
high dimensional data is ubiquitous across many scientific disciplines,
including machine learning, biology, and the social sciences. One of the
primary methods o... | [
{
"created": "Wed, 14 Aug 2024 13:42:47 GMT",
"version": "v1"
}
] | 2024-08-16 | [
[
"Smelser",
"Kiran",
""
],
[
"Miller",
"Jacob",
""
],
[
"Kobourov",
"Stephen",
""
]
] | Stress is among the most commonly employed quality metrics and optimization criteria for dimension reduction projections of high dimensional data. Complex, high dimensional data is ubiquitous across many scientific disciplines, including machine learning, biology, and the social sciences. One of the primary methods of ... |
2002.00084 | Seokki Lee | Seokki Lee, Bertram Ludaescher, Boris Glavic | Approximate Summaries for Why and Why-not Provenance (Extended Version) | null | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Why and why-not provenance have been studied extensively in recent years.
However, why-not provenance, and to a lesser degree why provenance, can be very
large resulting in severe scalability and usability challenges. In this paper,
we introduce a novel approximate summarization technique for provenance which
overcom... | [
{
"created": "Fri, 31 Jan 2020 22:47:43 GMT",
"version": "v1"
},
{
"created": "Mon, 27 Apr 2020 16:29:09 GMT",
"version": "v2"
}
] | 2020-04-28 | [
[
"Lee",
"Seokki",
""
],
[
"Ludaescher",
"Bertram",
""
],
[
"Glavic",
"Boris",
""
]
] | Why and why-not provenance have been studied extensively in recent years. However, why-not provenance, and to a lesser degree why provenance, can be very large resulting in severe scalability and usability challenges. In this paper, we introduce a novel approximate summarization technique for provenance which overcomes... |
2010.10649 | Wei-Fan Chen | Wei-Fan Chen, Khalid Al-Khatib, Benno Stein and Henning Wachsmuth | Detecting Media Bias in News Articles using Gaussian Bias Distributions | null | EMNLP 2020 Findings | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Media plays an important role in shaping public opinion. Biased media can
influence people in undesirable directions and hence should be unmasked as
such. We observe that featurebased and neural text classification approaches
which rely only on the distribution of low-level lexical information fail to
detect media bi... | [
{
"created": "Tue, 20 Oct 2020 22:20:49 GMT",
"version": "v1"
}
] | 2020-10-22 | [
[
"Chen",
"Wei-Fan",
""
],
[
"Al-Khatib",
"Khalid",
""
],
[
"Stein",
"Benno",
""
],
[
"Wachsmuth",
"Henning",
""
]
] | Media plays an important role in shaping public opinion. Biased media can influence people in undesirable directions and hence should be unmasked as such. We observe that featurebased and neural text classification approaches which rely only on the distribution of low-level lexical information fail to detect media bias... |
2004.14648 | Jifan Chen | Jifan Chen and Greg Durrett | Robust Question Answering Through Sub-part Alignment | NAACL 2021 | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Current textual question answering models achieve strong performance on
in-domain test sets, but often do so by fitting surface-level patterns in the
data, so they fail to generalize to out-of-distribution settings. To make a
more robust and understandable QA system, we model question answering as an
alignment proble... | [
{
"created": "Thu, 30 Apr 2020 09:10:57 GMT",
"version": "v1"
},
{
"created": "Fri, 1 May 2020 23:58:37 GMT",
"version": "v2"
},
{
"created": "Mon, 19 Apr 2021 20:43:55 GMT",
"version": "v3"
}
] | 2021-04-21 | [
[
"Chen",
"Jifan",
""
],
[
"Durrett",
"Greg",
""
]
] | Current textual question answering models achieve strong performance on in-domain test sets, but often do so by fitting surface-level patterns in the data, so they fail to generalize to out-of-distribution settings. To make a more robust and understandable QA system, we model question answering as an alignment problem.... |
2311.14741 | Oliver Bendel | Oliver Bendel and Karim N'diaye | @ve: A Chatbot for Latin | 15 pages | null | null | null | cs.CL cs.AI cs.RO | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Dead, extinct, and endangered languages have been preserved primarily through
audio conservation and the collection and digitization of scripts and have been
promoted through targeted language acquisition efforts. Another possibility
would be to build conversational agents that can master these languages. This
would ... | [
{
"created": "Wed, 22 Nov 2023 09:06:11 GMT",
"version": "v1"
}
] | 2023-11-28 | [
[
"Bendel",
"Oliver",
""
],
[
"N'diaye",
"Karim",
""
]
] | Dead, extinct, and endangered languages have been preserved primarily through audio conservation and the collection and digitization of scripts and have been promoted through targeted language acquisition efforts. Another possibility would be to build conversational agents that can master these languages. This would pr... |
1606.04011 | Tianhua Xu | Tianhua Xu, Gunnar Jacobsen, Jie Li, Mark Leeson, Sergei Popov | Dynamic physical layer equalization in optical communication networks | null | null | null | null | cs.IT math.IT physics.optics | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In optical transport networks, signal lightpaths between two terminal nodes
can be different due to current network conditions. Thus the transmission
distance and accumulated dispersion in the lightpath cannot be predicted.
Therefore, the adaptive compensation of dynamic dispersion is necessary in such
networks to en... | [
{
"created": "Mon, 13 Jun 2016 16:46:26 GMT",
"version": "v1"
},
{
"created": "Tue, 16 May 2017 22:39:54 GMT",
"version": "v2"
},
{
"created": "Thu, 14 Dec 2017 16:27:52 GMT",
"version": "v3"
},
{
"created": "Mon, 7 May 2018 19:07:27 GMT",
"version": "v4"
}
] | 2018-05-09 | [
[
"Xu",
"Tianhua",
""
],
[
"Jacobsen",
"Gunnar",
""
],
[
"Li",
"Jie",
""
],
[
"Leeson",
"Mark",
""
],
[
"Popov",
"Sergei",
""
]
] | In optical transport networks, signal lightpaths between two terminal nodes can be different due to current network conditions. Thus the transmission distance and accumulated dispersion in the lightpath cannot be predicted. Therefore, the adaptive compensation of dynamic dispersion is necessary in such networks to enab... |
2009.08685 | Trista Chen | Yu-Sheng Lin, Hung Chang Lu, Yang-Bin Tsao, Yi-Min Chih, Wei-Chao
Chen, Shao-Yi Chien | GrateTile: Efficient Sparse Tensor Tiling for CNN Processing | To be published at IEEE Workshop on Signal Processing System (SiPS
2020) | null | null | null | cs.LG cs.AR stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose GrateTile, an efficient, hardwarefriendly data storage scheme for
sparse CNN feature maps (activations). It divides data into uneven-sized
subtensors and, with small indexing overhead, stores them in a compressed yet
randomly accessible format. This design enables modern CNN accelerators to
fetch and decom... | [
{
"created": "Fri, 18 Sep 2020 08:31:41 GMT",
"version": "v1"
}
] | 2020-09-21 | [
[
"Lin",
"Yu-Sheng",
""
],
[
"Lu",
"Hung Chang",
""
],
[
"Tsao",
"Yang-Bin",
""
],
[
"Chih",
"Yi-Min",
""
],
[
"Chen",
"Wei-Chao",
""
],
[
"Chien",
"Shao-Yi",
""
]
] | We propose GrateTile, an efficient, hardwarefriendly data storage scheme for sparse CNN feature maps (activations). It divides data into uneven-sized subtensors and, with small indexing overhead, stores them in a compressed yet randomly accessible format. This design enables modern CNN accelerators to fetch and decompr... |
1902.00526 | Amir Saeidi | Amir Saeidi (Utrecht University, Netherlands), Jurriaan Hage (Utrecht
University, Netherlands), Ravi Khadka (Utrecht University, Netherlands),
Slinger Jansen (Utrecht University, Netherlands) | Applications of Multi-view Learning Approaches for Software
Comprehension | null | The Art, Science, and Engineering of Programming, 2019, Vol. 3,
Issue 3, Article 14 | 10.22152/programming-journal.org/2019/3/14 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Program comprehension concerns the ability of an individual to make an
understanding of an existing software system to extend or transform it.
Software systems comprise of data that are noisy and missing, which makes
program understanding even more difficult. A software system consists of
various views including the ... | [
{
"created": "Fri, 1 Feb 2019 19:07:49 GMT",
"version": "v1"
}
] | 2019-02-05 | [
[
"Saeidi",
"Amir",
"",
"Utrecht University, Netherlands"
],
[
"Hage",
"Jurriaan",
"",
"Utrecht\n University, Netherlands"
],
[
"Khadka",
"Ravi",
"",
"Utrecht University, Netherlands"
],
[
"Jansen",
"Slinger",
"",
"Utrecht University, Neth... | Program comprehension concerns the ability of an individual to make an understanding of an existing software system to extend or transform it. Software systems comprise of data that are noisy and missing, which makes program understanding even more difficult. A software system consists of various views including the mo... |
2202.11678 | Andrew Wilson | Sanae Lotfi, Pavel Izmailov, Gregory Benton, Micah Goldblum, Andrew
Gordon Wilson | Bayesian Model Selection, the Marginal Likelihood, and Generalization | Extended version. Shorter ICML version available at
arXiv:2202.11678v2 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | How do we compare between hypotheses that are entirely consistent with
observations? The marginal likelihood (aka Bayesian evidence), which represents
the probability of generating our observations from a prior, provides a
distinctive approach to this foundational question, automatically encoding
Occam's razor. Altho... | [
{
"created": "Wed, 23 Feb 2022 18:38:16 GMT",
"version": "v1"
},
{
"created": "Thu, 2 Jun 2022 17:10:24 GMT",
"version": "v2"
},
{
"created": "Tue, 2 May 2023 01:27:39 GMT",
"version": "v3"
}
] | 2023-05-03 | [
[
"Lotfi",
"Sanae",
""
],
[
"Izmailov",
"Pavel",
""
],
[
"Benton",
"Gregory",
""
],
[
"Goldblum",
"Micah",
""
],
[
"Wilson",
"Andrew Gordon",
""
]
] | How do we compare between hypotheses that are entirely consistent with observations? The marginal likelihood (aka Bayesian evidence), which represents the probability of generating our observations from a prior, provides a distinctive approach to this foundational question, automatically encoding Occam's razor. Althoug... |
2011.04345 | Tamara AlShammari | Tamara Alshammari and Sumudu Samarakoon and Anis Elgabli and Mehdi
Bennis | BayGo: Joint Bayesian Learning and Information-Aware Graph Optimization | 6 pages, 5 figures, conference | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This article deals with the problem of distributed machine learning, in which
agents update their models based on their local datasets, and aggregate the
updated models collaboratively and in a fully decentralized manner. In this
paper, we tackle the problem of information heterogeneity arising in
multi-agent network... | [
{
"created": "Mon, 9 Nov 2020 11:16:55 GMT",
"version": "v1"
},
{
"created": "Fri, 19 Feb 2021 19:47:14 GMT",
"version": "v2"
}
] | 2021-02-23 | [
[
"Alshammari",
"Tamara",
""
],
[
"Samarakoon",
"Sumudu",
""
],
[
"Elgabli",
"Anis",
""
],
[
"Bennis",
"Mehdi",
""
]
] | This article deals with the problem of distributed machine learning, in which agents update their models based on their local datasets, and aggregate the updated models collaboratively and in a fully decentralized manner. In this paper, we tackle the problem of information heterogeneity arising in multi-agent networks ... |
1906.08885 | Philipp Koehn | Vishrav Chaudhary and Yuqing Tang and Francisco Guzm\'an and Holger
Schwenk and Philipp Koehn | Low-Resource Corpus Filtering using Multilingual Sentence Embeddings | 6 pages, WMT 2019 | Conference on Machine Translation (WMT) 2019 | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | In this paper, we describe our submission to the WMT19 low-resource parallel
corpus filtering shared task. Our main approach is based on the LASER toolkit
(Language-Agnostic SEntence Representations), which uses an encoder-decoder
architecture trained on a parallel corpus to obtain multilingual sentence
representatio... | [
{
"created": "Thu, 20 Jun 2019 22:39:44 GMT",
"version": "v1"
}
] | 2019-06-24 | [
[
"Chaudhary",
"Vishrav",
""
],
[
"Tang",
"Yuqing",
""
],
[
"Guzmán",
"Francisco",
""
],
[
"Schwenk",
"Holger",
""
],
[
"Koehn",
"Philipp",
""
]
] | In this paper, we describe our submission to the WMT19 low-resource parallel corpus filtering shared task. Our main approach is based on the LASER toolkit (Language-Agnostic SEntence Representations), which uses an encoder-decoder architecture trained on a parallel corpus to obtain multilingual sentence representations... |
1807.11161 | Hao Min Liu | Hao-Min Liu, Yi-Hsuan Yang | Lead Sheet Generation and Arrangement by Conditional Generative
Adversarial Network | 7 pages, 7 figures and 4 tables | null | null | null | cs.SD cs.AI cs.LG eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Research on automatic music generation has seen great progress due to the
development of deep neural networks. However, the generation of
multi-instrument music of arbitrary genres still remains a challenge. Existing
research either works on lead sheets or multi-track piano-rolls found in MIDIs,
but both musical nota... | [
{
"created": "Mon, 30 Jul 2018 03:48:04 GMT",
"version": "v1"
}
] | 2018-07-31 | [
[
"Liu",
"Hao-Min",
""
],
[
"Yang",
"Yi-Hsuan",
""
]
] | Research on automatic music generation has seen great progress due to the development of deep neural networks. However, the generation of multi-instrument music of arbitrary genres still remains a challenge. Existing research either works on lead sheets or multi-track piano-rolls found in MIDIs, but both musical notati... |
1903.07389 | Hamid Karimi | Hamid Karimi and Jiliang Tang | Learning Hierarchical Discourse-level Structure for Fake News Detection | Accepted to 2019 Annual Conference of the North American Chapter of
the Association for Computational Linguistics June 2-7, 2019 Minneapolis, USA | null | null | null | cs.CL cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | On the one hand, nowadays, fake news articles are easily propagated through
various online media platforms and have become a grand threat to the
trustworthiness of information. On the other hand, our understanding of the
language of fake news is still minimal. Incorporating hierarchical
discourse-level structure of f... | [
{
"created": "Wed, 27 Feb 2019 00:03:17 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Mar 2019 01:15:14 GMT",
"version": "v2"
},
{
"created": "Tue, 2 Apr 2019 16:18:00 GMT",
"version": "v3"
},
{
"created": "Thu, 4 Apr 2019 02:38:36 GMT",
"version": "v4"
},
{
"cre... | 2019-04-11 | [
[
"Karimi",
"Hamid",
""
],
[
"Tang",
"Jiliang",
""
]
] | On the one hand, nowadays, fake news articles are easily propagated through various online media platforms and have become a grand threat to the trustworthiness of information. On the other hand, our understanding of the language of fake news is still minimal. Incorporating hierarchical discourse-level structure of fak... |
0905.0197 | Victor Marek | V.W. Marek and J.B. Remmel | An Application of Proof-Theory in Answer Set Programming | 22 pages. Short version was published in ICLP08. New version slightly
shorter than the previous version | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We apply proof-theoretic techniques in answer Set Programming. The main
results include: 1. A characterization of continuity properties of
Gelfond-Lifschitz operator for logic program. 2. A propositional
characterization of stable models of logic programs (without referring to loop
formulas.
| [
{
"created": "Sat, 2 May 2009 10:43:30 GMT",
"version": "v1"
},
{
"created": "Mon, 11 Jan 2010 20:12:14 GMT",
"version": "v2"
}
] | 2010-01-11 | [
[
"Marek",
"V. W.",
""
],
[
"Remmel",
"J. B.",
""
]
] | We apply proof-theoretic techniques in answer Set Programming. The main results include: 1. A characterization of continuity properties of Gelfond-Lifschitz operator for logic program. 2. A propositional characterization of stable models of logic programs (without referring to loop formulas. |
1801.08024 | Grigori Fursin | Grigori Fursin, Anton Lokhmotov, Dmitry Savenko and Eben Upton | A Collective Knowledge workflow for collaborative research into
multi-objective autotuning and machine learning techniques | Interactive CK report: http://cKnowledge.org/rpi-crowd-tuning ; CK
repository with artifacts:
https://github.com/ctuning/ck-rpi-optimization-results ; FigShare data
archive: https://doi.org/10.6084/m9.figshare.5789007.v2 | null | null | null | cs.HC cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Developing efficient software and hardware has never been harder whether it
is for a tiny IoT device or an Exascale supercomputer. Apart from the ever
growing design and optimization complexity, there exist even more fundamental
problems such as lack of interdisciplinary knowledge required for effective
software/hard... | [
{
"created": "Fri, 19 Jan 2018 15:30:39 GMT",
"version": "v1"
}
] | 2018-01-25 | [
[
"Fursin",
"Grigori",
""
],
[
"Lokhmotov",
"Anton",
""
],
[
"Savenko",
"Dmitry",
""
],
[
"Upton",
"Eben",
""
]
] | Developing efficient software and hardware has never been harder whether it is for a tiny IoT device or an Exascale supercomputer. Apart from the ever growing design and optimization complexity, there exist even more fundamental problems such as lack of interdisciplinary knowledge required for effective software/hardwa... |
1504.04123 | Pietro Tesi | G. Battistelli and P. Tesi | Switching Control for Parameter Identifiability of Uncertain Systems | null | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper considers the problem of identifying the parameters of an
uncertain linear system by means of feedback control. The problem is approached
by considering time-varying controllers. It is shown that even when the
uncertainty set is not finite, parameter identifiability can be generically
ensured by switching ... | [
{
"created": "Thu, 16 Apr 2015 08:00:20 GMT",
"version": "v1"
}
] | 2015-04-17 | [
[
"Battistelli",
"G.",
""
],
[
"Tesi",
"P.",
""
]
] | This paper considers the problem of identifying the parameters of an uncertain linear system by means of feedback control. The problem is approached by considering time-varying controllers. It is shown that even when the uncertainty set is not finite, parameter identifiability can be generically ensured by switching am... |
2108.05196 | Peter Zaspel | Drishti Maharjan and Peter Zaspel | Towards data-driven filters in Paraview | null | null | null | null | cs.LG cs.GR cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent progress in scientific visualization has expanded the scope of
visualization from being merely a way of presentation to an analysis and
discovery tool. A given visualization result is usually generated by applying a
series of transformations or filters to the underlying data. Nowadays, such
filters use determi... | [
{
"created": "Wed, 11 Aug 2021 13:02:22 GMT",
"version": "v1"
},
{
"created": "Thu, 12 Aug 2021 08:10:47 GMT",
"version": "v2"
}
] | 2021-08-13 | [
[
"Maharjan",
"Drishti",
""
],
[
"Zaspel",
"Peter",
""
]
] | Recent progress in scientific visualization has expanded the scope of visualization from being merely a way of presentation to an analysis and discovery tool. A given visualization result is usually generated by applying a series of transformations or filters to the underlying data. Nowadays, such filters use determini... |
2306.02291 | Shijie Chang | Shijie Chang, Zeqi Hao, Ben Kang, Xiaoqi Zhao, Jiawen Zhu, Zhenyu
Chen, Lihe Zhang, Lu Zhang, Huchuan Lu | 3rd Place Solution for PVUW2023 VSS Track: A Large Model for Semantic
Segmentation on VSPW | 3rd Place Solution for CVPR 2023 PVUW VSS Track | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we introduce 3rd place solution for PVUW2023 VSS track.
Semantic segmentation is a fundamental task in computer vision with numerous
real-world applications. We have explored various image-level visual backbones
and segmentation heads to tackle the problem of video semantic segmentation.
Through our ex... | [
{
"created": "Sun, 4 Jun 2023 07:50:38 GMT",
"version": "v1"
},
{
"created": "Tue, 6 Jun 2023 01:49:09 GMT",
"version": "v2"
}
] | 2023-06-07 | [
[
"Chang",
"Shijie",
""
],
[
"Hao",
"Zeqi",
""
],
[
"Kang",
"Ben",
""
],
[
"Zhao",
"Xiaoqi",
""
],
[
"Zhu",
"Jiawen",
""
],
[
"Chen",
"Zhenyu",
""
],
[
"Zhang",
"Lihe",
""
],
[
"Zhang",
"Lu",
... | In this paper, we introduce 3rd place solution for PVUW2023 VSS track. Semantic segmentation is a fundamental task in computer vision with numerous real-world applications. We have explored various image-level visual backbones and segmentation heads to tackle the problem of video semantic segmentation. Through our expe... |
1509.08634 | Takayuki Osogami | Takayuki Osogami and Makoto Otsuka | Learning dynamic Boltzmann machines with spike-timing dependent
plasticity | Preliminary and substantially different version of the paper appeared
in http://www.nature.com/articles/srep14149 | null | null | null | cs.NE cs.AI cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a particularly structured Boltzmann machine, which we refer to as
a dynamic Boltzmann machine (DyBM), as a stochastic model of a
multi-dimensional time-series. The DyBM can have infinitely many layers of
units but allows exact and efficient inference and learning when its parameters
have a proposed structu... | [
{
"created": "Tue, 29 Sep 2015 08:30:12 GMT",
"version": "v1"
}
] | 2015-09-30 | [
[
"Osogami",
"Takayuki",
""
],
[
"Otsuka",
"Makoto",
""
]
] | We propose a particularly structured Boltzmann machine, which we refer to as a dynamic Boltzmann machine (DyBM), as a stochastic model of a multi-dimensional time-series. The DyBM can have infinitely many layers of units but allows exact and efficient inference and learning when its parameters have a proposed structure... |
1901.04713 | Chien-Sheng Wu | Chien-Sheng Wu, Richard Socher, Caiming Xiong | Global-to-local Memory Pointer Networks for Task-Oriented Dialogue | ICLR 2019 | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | End-to-end task-oriented dialogue is challenging since knowledge bases are
usually large, dynamic and hard to incorporate into a learning framework. We
propose the global-to-local memory pointer (GLMP) networks to address this
issue. In our model, a global memory encoder and a local memory decoder are
proposed to sha... | [
{
"created": "Tue, 15 Jan 2019 08:55:53 GMT",
"version": "v1"
},
{
"created": "Fri, 29 Mar 2019 05:13:11 GMT",
"version": "v2"
}
] | 2019-04-01 | [
[
"Wu",
"Chien-Sheng",
""
],
[
"Socher",
"Richard",
""
],
[
"Xiong",
"Caiming",
""
]
] | End-to-end task-oriented dialogue is challenging since knowledge bases are usually large, dynamic and hard to incorporate into a learning framework. We propose the global-to-local memory pointer (GLMP) networks to address this issue. In our model, a global memory encoder and a local memory decoder are proposed to share... |
2003.08915 | Olivier Nicole | Olivier Nicole, Matthieu Lemerre, S\'ebastien Bardin, Xavier Rival | Automatically Proving Microkernels Free from Privilege Escalation from
their Executable | 19 pages, 11 figures, submitted to IEEE Symposium on Security and
Privacy 2021 | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Operating system kernels are the security keystone of most computer systems,
as they provide the core protection mechanisms. Kernels are in particular
responsible for their own security, i.e. they must prevent untrusted user tasks
from reaching their level of privilege. We demonstrate that proving such
absence of pri... | [
{
"created": "Thu, 19 Mar 2020 17:28:36 GMT",
"version": "v1"
}
] | 2020-03-20 | [
[
"Nicole",
"Olivier",
""
],
[
"Lemerre",
"Matthieu",
""
],
[
"Bardin",
"Sébastien",
""
],
[
"Rival",
"Xavier",
""
]
] | Operating system kernels are the security keystone of most computer systems, as they provide the core protection mechanisms. Kernels are in particular responsible for their own security, i.e. they must prevent untrusted user tasks from reaching their level of privilege. We demonstrate that proving such absence of privi... |
1302.6809 | Dan Geiger | Dan Geiger, Azaria Paz, Judea Pearl | On Testing Whether an Embedded Bayesian Network Represents a Probability
Model | Appears in Proceedings of the Tenth Conference on Uncertainty in
Artificial Intelligence (UAI1994) | null | null | UAI-P-1994-PG-244-252 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Testing the validity of probabilistic models containing unmeasured (hidden)
variables is shown to be a hard task. We show that the task of testing whether
models are structurally incompatible with the data at hand, requires an
exponential number of independence evaluations, each of the form: "X is
conditionally indep... | [
{
"created": "Wed, 27 Feb 2013 14:16:13 GMT",
"version": "v1"
}
] | 2013-02-28 | [
[
"Geiger",
"Dan",
""
],
[
"Paz",
"Azaria",
""
],
[
"Pearl",
"Judea",
""
]
] | Testing the validity of probabilistic models containing unmeasured (hidden) variables is shown to be a hard task. We show that the task of testing whether models are structurally incompatible with the data at hand, requires an exponential number of independence evaluations, each of the form: "X is conditionally indepen... |
1906.09573 | Yang Ai | Yang Ai, Zhen-Hua Ling | A Neural Vocoder with Hierarchical Generation of Amplitude and Phase
Spectra for Statistical Parametric Speech Synthesis | Published in IEEE Transactions on Audio, Speech and Language
Processing | null | 10.1109/TASLP.2020.2970241 | null | cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a neural vocoder named HiNet which reconstructs speech
waveforms from acoustic features by predicting amplitude and phase spectra
hierarchically. Different from existing neural vocoders such as WaveNet,
SampleRNN and WaveRNN which directly generate waveform samples using single
neural networks, th... | [
{
"created": "Sun, 23 Jun 2019 10:01:33 GMT",
"version": "v1"
},
{
"created": "Wed, 5 Feb 2020 11:05:33 GMT",
"version": "v2"
}
] | 2020-02-06 | [
[
"Ai",
"Yang",
""
],
[
"Ling",
"Zhen-Hua",
""
]
] | This paper presents a neural vocoder named HiNet which reconstructs speech waveforms from acoustic features by predicting amplitude and phase spectra hierarchically. Different from existing neural vocoders such as WaveNet, SampleRNN and WaveRNN which directly generate waveform samples using single neural networks, the ... |
1303.1571 | Rodrigo de Lamare | Lei Wang and Rodrigo C. de Lamare | Reduced-rank Adaptive Constrained Constant Modulus Beamforming
Algorithms based on Joint Iterative Optimization of Filters | 4 figures | DSP, 2011 | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a reduced-rank scheme for adaptive beamforming based on
the constrained joint iterative optimization of filters. We employ this scheme
to devise two novel reduced-rank adaptive algorithms according to the constant
modulus (CM) criterion with different constraints. The first devised algorithm
is fo... | [
{
"created": "Wed, 6 Mar 2013 23:12:24 GMT",
"version": "v1"
}
] | 2013-03-08 | [
[
"Wang",
"Lei",
""
],
[
"de Lamare",
"Rodrigo C.",
""
]
] | This paper proposes a reduced-rank scheme for adaptive beamforming based on the constrained joint iterative optimization of filters. We employ this scheme to devise two novel reduced-rank adaptive algorithms according to the constant modulus (CM) criterion with different constraints. The first devised algorithm is form... |
1812.01083 | Jacqueline Brixey | Jacqueline Brixey, Ramesh Manuvinakurike, Nham Le, Tuan Lai, Walter
Chang, Trung Bui | A System for Automated Image Editing from Natural Language Commands | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work presents the task of modifying images in an image editing program
using natural language written commands. We utilize a corpus of over 6000 image
edit text requests to alter real world images collected via crowdsourcing. A
novel framework composed of actions and entities to map a user's natural
language req... | [
{
"created": "Mon, 3 Dec 2018 21:12:31 GMT",
"version": "v1"
}
] | 2018-12-05 | [
[
"Brixey",
"Jacqueline",
""
],
[
"Manuvinakurike",
"Ramesh",
""
],
[
"Le",
"Nham",
""
],
[
"Lai",
"Tuan",
""
],
[
"Chang",
"Walter",
""
],
[
"Bui",
"Trung",
""
]
] | This work presents the task of modifying images in an image editing program using natural language written commands. We utilize a corpus of over 6000 image edit text requests to alter real world images collected via crowdsourcing. A novel framework composed of actions and entities to map a user's natural language reque... |
2109.04399 | Corinna Hertweck | Corinna Hertweck and Tim R\"az | Gradual (In)Compatibility of Fairness Criteria | Code available on GitHub:
https://github.com/hcorinna/gradual-compatibility, extended version of paper
accepted to AAAI'22 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Impossibility results show that important fairness measures (independence,
separation, sufficiency) cannot be satisfied at the same time under reasonable
assumptions. This paper explores whether we can satisfy and/or improve these
fairness measures simultaneously to a certain degree. We introduce
information-theoreti... | [
{
"created": "Thu, 9 Sep 2021 16:37:30 GMT",
"version": "v1"
},
{
"created": "Wed, 16 Mar 2022 18:03:52 GMT",
"version": "v2"
}
] | 2022-03-21 | [
[
"Hertweck",
"Corinna",
""
],
[
"Räz",
"Tim",
""
]
] | Impossibility results show that important fairness measures (independence, separation, sufficiency) cannot be satisfied at the same time under reasonable assumptions. This paper explores whether we can satisfy and/or improve these fairness measures simultaneously to a certain degree. We introduce information-theoretic ... |
1807.04001 | Ismail Elezi | Benjamin Bruno Meier, Ismail Elezi, Mohammadreza Amirian, Oliver Durr
and Thilo Stadelmann | Learning Neural Models for End-to-End Clustering | Accepted for publication on ANNPR 2018 | null | null | null | cs.LG cs.AI cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a novel end-to-end neural network architecture that, once trained,
directly outputs a probabilistic clustering of a batch of input examples in one
pass. It estimates a distribution over the number of clusters $k$, and for each
$1 \leq k \leq k_\mathrm{max}$, a distribution over the individual cluster
assig... | [
{
"created": "Wed, 11 Jul 2018 08:45:45 GMT",
"version": "v1"
}
] | 2018-07-12 | [
[
"Meier",
"Benjamin Bruno",
""
],
[
"Elezi",
"Ismail",
""
],
[
"Amirian",
"Mohammadreza",
""
],
[
"Durr",
"Oliver",
""
],
[
"Stadelmann",
"Thilo",
""
]
] | We propose a novel end-to-end neural network architecture that, once trained, directly outputs a probabilistic clustering of a batch of input examples in one pass. It estimates a distribution over the number of clusters $k$, and for each $1 \leq k \leq k_\mathrm{max}$, a distribution over the individual cluster assignm... |
1608.07670 | Snehanshu Saha | Sobin CC, Snehanshu Saha, Vaskar Raychoudhury, Hategekimana Fidele and
Sumana Sinha | CISER: An Amoebiasis inspired Model for Epidemic Message Propagation in
DTN | null | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Delay Tolerant Networks (DTNs) are sparse mobile networks, which experiences
frequent disruptions in connectivity among nodes. Usually, DTN follows
store-carry-and forward mechanism for message forwarding, in which a node store
and carry the message until it finds an appropriate relay node to forward
further in the n... | [
{
"created": "Sat, 27 Aug 2016 07:20:39 GMT",
"version": "v1"
}
] | 2016-08-30 | [
[
"CC",
"Sobin",
""
],
[
"Saha",
"Snehanshu",
""
],
[
"Raychoudhury",
"Vaskar",
""
],
[
"Fidele",
"Hategekimana",
""
],
[
"Sinha",
"Sumana",
""
]
] | Delay Tolerant Networks (DTNs) are sparse mobile networks, which experiences frequent disruptions in connectivity among nodes. Usually, DTN follows store-carry-and forward mechanism for message forwarding, in which a node store and carry the message until it finds an appropriate relay node to forward further in the net... |
2312.02339 | Derek Lim | Derek Lim and Joshua Robinson and Stefanie Jegelka and Haggai Maron | Expressive Sign Equivariant Networks for Spectral Geometric Learning | NeurIPS 2023 Spotlight | null | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent work has shown the utility of developing machine learning models that
respect the structure and symmetries of eigenvectors. These works promote sign
invariance, since for any eigenvector v the negation -v is also an eigenvector.
However, we show that sign invariance is theoretically limited for tasks such
as b... | [
{
"created": "Mon, 4 Dec 2023 20:48:18 GMT",
"version": "v1"
}
] | 2023-12-06 | [
[
"Lim",
"Derek",
""
],
[
"Robinson",
"Joshua",
""
],
[
"Jegelka",
"Stefanie",
""
],
[
"Maron",
"Haggai",
""
]
] | Recent work has shown the utility of developing machine learning models that respect the structure and symmetries of eigenvectors. These works promote sign invariance, since for any eigenvector v the negation -v is also an eigenvector. However, we show that sign invariance is theoretically limited for tasks such as bui... |
2308.03648 | Richard Nock | Richard Nock and Mathieu Guillame-Bert | Generative Forests | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Tabular data represents one of the most prevalent form of data. When it comes
to data generation, many approaches would learn a density for the data
generation process, but would not necessarily end up with a sampler, even less
so being exact with respect to the underlying density. A second issue is on
models: while ... | [
{
"created": "Mon, 7 Aug 2023 14:58:53 GMT",
"version": "v1"
}
] | 2023-08-08 | [
[
"Nock",
"Richard",
""
],
[
"Guillame-Bert",
"Mathieu",
""
]
] | Tabular data represents one of the most prevalent form of data. When it comes to data generation, many approaches would learn a density for the data generation process, but would not necessarily end up with a sampler, even less so being exact with respect to the underlying density. A second issue is on models: while co... |
2108.09134 | Jed Mills | Jed Mills, Jia Hu, Geyong Min, Rui Jin, Siwei Zheng, Jin Wang | Accelerating Federated Learning with a Global Biased Optimiser | null | null | null | null | cs.LG cs.DC | http://creativecommons.org/licenses/by/4.0/ | Federated Learning (FL) is a recent development in distributed machine
learning that collaboratively trains models without training data leaving
client devices, preserving data privacy. In real-world FL, the training set is
distributed over clients in a highly non-Independent and Identically
Distributed (non-IID) fas... | [
{
"created": "Fri, 20 Aug 2021 12:08:44 GMT",
"version": "v1"
},
{
"created": "Sun, 12 Sep 2021 10:38:22 GMT",
"version": "v2"
},
{
"created": "Wed, 5 Oct 2022 21:27:40 GMT",
"version": "v3"
}
] | 2022-10-07 | [
[
"Mills",
"Jed",
""
],
[
"Hu",
"Jia",
""
],
[
"Min",
"Geyong",
""
],
[
"Jin",
"Rui",
""
],
[
"Zheng",
"Siwei",
""
],
[
"Wang",
"Jin",
""
]
] | Federated Learning (FL) is a recent development in distributed machine learning that collaboratively trains models without training data leaving client devices, preserving data privacy. In real-world FL, the training set is distributed over clients in a highly non-Independent and Identically Distributed (non-IID) fashi... |
2405.03870 | Widad Elouataoui | Widad Elouataoui | AI-Driven Frameworks for Enhancing Data Quality in Big Data Ecosystems:
Error_Detection, Correction, and Metadata Integration | Doctoral thesis | null | null | null | cs.AI cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The widespread adoption of big data has ushered in a new era of data-driven
decision-making, transforming numerous industries and sectors. However, the
efficacy of these decisions hinges on the quality of the underlying data. Poor
data quality can result in inaccurate analyses and deceptive conclusions.
Managing the ... | [
{
"created": "Mon, 6 May 2024 21:36:45 GMT",
"version": "v1"
}
] | 2024-05-08 | [
[
"Elouataoui",
"Widad",
""
]
] | The widespread adoption of big data has ushered in a new era of data-driven decision-making, transforming numerous industries and sectors. However, the efficacy of these decisions hinges on the quality of the underlying data. Poor data quality can result in inaccurate analyses and deceptive conclusions. Managing the va... |
2107.03068 | Hajime Taira | Hajime Taira, Koki Onbe, Naoyuki Miyashita, Masatoshi Okutomi | Video-Based Camera Localization Using Anchor View Detection and
Recursive 3D Reconstruction | This paper have been accepted and will be appeared in the proceedings
of 17th International Conference on Machine Vision Applications (MVA2021) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we introduce a new camera localization strategy designed for
image sequences captured in challenging industrial situations such as
industrial parts inspection. To deal with peculiar appearances that hurt
standard 3D reconstruction pipeline, we exploit pre-knowledge of the scene by
selecting key frames i... | [
{
"created": "Wed, 7 Jul 2021 08:13:33 GMT",
"version": "v1"
}
] | 2021-07-08 | [
[
"Taira",
"Hajime",
""
],
[
"Onbe",
"Koki",
""
],
[
"Miyashita",
"Naoyuki",
""
],
[
"Okutomi",
"Masatoshi",
""
]
] | In this paper we introduce a new camera localization strategy designed for image sequences captured in challenging industrial situations such as industrial parts inspection. To deal with peculiar appearances that hurt standard 3D reconstruction pipeline, we exploit pre-knowledge of the scene by selecting key frames in ... |
2407.11867 | Zikui Cai | Zikui Cai, Yaoteng Tan, M. Salman Asif | Single Layer Single Gradient Unlearning | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Machine unlearning methods seek to revise pretrained models such that effects
of certain training samples can be removed. In addition to effective erasure,
low computational cost and general utility retention are also highly desirable.
Existing unlearning methods usually involve iterative updates over the model
param... | [
{
"created": "Tue, 16 Jul 2024 15:52:36 GMT",
"version": "v1"
}
] | 2024-07-17 | [
[
"Cai",
"Zikui",
""
],
[
"Tan",
"Yaoteng",
""
],
[
"Asif",
"M. Salman",
""
]
] | Machine unlearning methods seek to revise pretrained models such that effects of certain training samples can be removed. In addition to effective erasure, low computational cost and general utility retention are also highly desirable. Existing unlearning methods usually involve iterative updates over the model paramet... |
1703.09876 | Hongge Chen | Hongge Chen, Duane Boning and Zheng Zhang | Efficient Spatial Variation Characterization via Matrix Completion | null | null | null | null | cs.CE | http://creativecommons.org/licenses/by/4.0/ | In this paper, we propose a novel method to estimate and characterize spatial
variations on dies or wafers. This new technique exploits recent developments
in matrix completion, enabling estimation of spatial variation across wafers or
dies with a small number of randomly picked sampling points while still
achieving ... | [
{
"created": "Wed, 29 Mar 2017 03:48:14 GMT",
"version": "v1"
}
] | 2017-03-30 | [
[
"Chen",
"Hongge",
""
],
[
"Boning",
"Duane",
""
],
[
"Zhang",
"Zheng",
""
]
] | In this paper, we propose a novel method to estimate and characterize spatial variations on dies or wafers. This new technique exploits recent developments in matrix completion, enabling estimation of spatial variation across wafers or dies with a small number of randomly picked sampling points while still achieving fa... |
1903.00719 | Lukas Pfannschmidt | Lukas Pfannschmidt, Christina G\"opfert, Ursula Neumann, Dominik
Heider, Barbara Hammer | FRI -- Feature Relevance Intervals for Interpretable and Interactive
Data Exploration | Addition of IEEE copyright notice. Accepted for CIBCB 2019
(https://cibcb2019.icas.xyz/) | null | 10.1109/CIBCB.2019.8791489 | null | cs.LG cs.IR stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most existing feature selection methods are insufficient for analytic
purposes as soon as high dimensional data or redundant sensor signals are dealt
with since features can be selected due to spurious effects or correlations
rather than causal effects. To support the finding of causal features in
biomedical experime... | [
{
"created": "Sat, 2 Mar 2019 15:16:15 GMT",
"version": "v1"
},
{
"created": "Tue, 30 Apr 2019 17:21:03 GMT",
"version": "v2"
},
{
"created": "Fri, 21 Jun 2019 14:41:04 GMT",
"version": "v3"
}
] | 2019-08-13 | [
[
"Pfannschmidt",
"Lukas",
""
],
[
"Göpfert",
"Christina",
""
],
[
"Neumann",
"Ursula",
""
],
[
"Heider",
"Dominik",
""
],
[
"Hammer",
"Barbara",
""
]
] | Most existing feature selection methods are insufficient for analytic purposes as soon as high dimensional data or redundant sensor signals are dealt with since features can be selected due to spurious effects or correlations rather than causal effects. To support the finding of causal features in biomedical experiment... |
2112.05000 | Sebastian U. Stich | Yehao Liu and Matteo Pagliardini and Tatjana Chavdarova and Sebastian
U. Stich | The Peril of Popular Deep Learning Uncertainty Estimation Methods | Presented at the Bayesian Deep Learning Workshop at NeurIPS 2021 | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | Uncertainty estimation (UE) techniques -- such as the Gaussian process (GP),
Bayesian neural networks (BNN), Monte Carlo dropout (MCDropout) -- aim to
improve the interpretability of machine learning models by assigning an
estimated uncertainty value to each of their prediction outputs. However, since
too high uncert... | [
{
"created": "Thu, 9 Dec 2021 15:47:21 GMT",
"version": "v1"
}
] | 2021-12-10 | [
[
"Liu",
"Yehao",
""
],
[
"Pagliardini",
"Matteo",
""
],
[
"Chavdarova",
"Tatjana",
""
],
[
"Stich",
"Sebastian U.",
""
]
] | Uncertainty estimation (UE) techniques -- such as the Gaussian process (GP), Bayesian neural networks (BNN), Monte Carlo dropout (MCDropout) -- aim to improve the interpretability of machine learning models by assigning an estimated uncertainty value to each of their prediction outputs. However, since too high uncertai... |
1810.12894 | Yuri Burda | Yuri Burda, Harrison Edwards, Amos Storkey, Oleg Klimov | Exploration by Random Network Distillation | null | null | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce an exploration bonus for deep reinforcement learning methods
that is easy to implement and adds minimal overhead to the computation
performed. The bonus is the error of a neural network predicting features of
the observations given by a fixed randomly initialized neural network. We also
introduce a metho... | [
{
"created": "Tue, 30 Oct 2018 17:44:42 GMT",
"version": "v1"
}
] | 2018-10-31 | [
[
"Burda",
"Yuri",
""
],
[
"Edwards",
"Harrison",
""
],
[
"Storkey",
"Amos",
""
],
[
"Klimov",
"Oleg",
""
]
] | We introduce an exploration bonus for deep reinforcement learning methods that is easy to implement and adds minimal overhead to the computation performed. The bonus is the error of a neural network predicting features of the observations given by a fixed randomly initialized neural network. We also introduce a method ... |
1809.00926 | Charith Perera | Mahmoud Barhamgi, Charith Perera, Chirine Ghedira, Djamal Benslimane | User-centric Privacy Engineering for the Internet of Things | 12 Pages | IEEE Cloud Computing, 2018 | null | null | cs.NI cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | User privacy concerns are widely regarded as a key obstacle to the success of
modern smart cyber-physical systems. In this paper, we analyse, through an
example, some of the requirements that future data collection architectures of
these systems should implement to provide effective privacy protection for
users. Then... | [
{
"created": "Tue, 4 Sep 2018 12:53:59 GMT",
"version": "v1"
}
] | 2018-09-10 | [
[
"Barhamgi",
"Mahmoud",
""
],
[
"Perera",
"Charith",
""
],
[
"Ghedira",
"Chirine",
""
],
[
"Benslimane",
"Djamal",
""
]
] | User privacy concerns are widely regarded as a key obstacle to the success of modern smart cyber-physical systems. In this paper, we analyse, through an example, some of the requirements that future data collection architectures of these systems should implement to provide effective privacy protection for users. Then, ... |
2012.11011 | Theodore Omtzigt | E. Theodore L. Omtzigt, Peter Gottschling, Mark Seligman, William Zorn | Universal Numbers Library: design and implementation of a
high-performance reproducible number systems library | 7 pages, 4 figures | null | null | null | cs.CE cs.MS | http://creativecommons.org/licenses/by/4.0/ | With the proliferation of embedded systems requiring intelligent behavior,
custom number systems to optimize performance per Watt of the entire system
become essential components for successful commercial products. We present the
Universal Number Library, a high-performance number systems library that
includes arbitr... | [
{
"created": "Sun, 20 Dec 2020 20:07:57 GMT",
"version": "v1"
}
] | 2020-12-22 | [
[
"Omtzigt",
"E. Theodore L.",
""
],
[
"Gottschling",
"Peter",
""
],
[
"Seligman",
"Mark",
""
],
[
"Zorn",
"William",
""
]
] | With the proliferation of embedded systems requiring intelligent behavior, custom number systems to optimize performance per Watt of the entire system become essential components for successful commercial products. We present the Universal Number Library, a high-performance number systems library that includes arbitrar... |
2009.05413 | Michael Neuder | Michael Neuder, Daniel J. Moroz, Rithvik Rao, David C. Parkes | Defending Against Malicious Reorgs in Tezos Proof-of-Stake | To appear in the second ACM conference on Advances in Financial
Technology (AFT'20) | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Blockchains are intended to be immutable, so an attacker who is able to
delete transactions through a chain reorganization (a malicious reorg) can
perform a profitable double-spend attack. We study the rate at which an
attacker can execute reorgs in the Tezos Proof-of-Stake protocol. As an
example, an attacker with 4... | [
{
"created": "Fri, 11 Sep 2020 12:58:51 GMT",
"version": "v1"
}
] | 2020-09-14 | [
[
"Neuder",
"Michael",
""
],
[
"Moroz",
"Daniel J.",
""
],
[
"Rao",
"Rithvik",
""
],
[
"Parkes",
"David C.",
""
]
] | Blockchains are intended to be immutable, so an attacker who is able to delete transactions through a chain reorganization (a malicious reorg) can perform a profitable double-spend attack. We study the rate at which an attacker can execute reorgs in the Tezos Proof-of-Stake protocol. As an example, an attacker with 40%... |
1909.10111 | Michael Posa | Yu-Ming Chen and Michael Posa | Optimal Reduced-order Modeling of Bipedal Locomotion | Submitted to ICRA 2020 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | State-of-the-art approaches to legged locomotion are widely dependent on the
use of models like the linear inverted pendulum (LIP) and the spring-loaded
inverted pendulum (SLIP), popular because their simplicity enables a wide array
of tools for planning, control, and analysis. However, they inevitably limit
the abil... | [
{
"created": "Mon, 23 Sep 2019 01:13:11 GMT",
"version": "v1"
}
] | 2019-09-24 | [
[
"Chen",
"Yu-Ming",
""
],
[
"Posa",
"Michael",
""
]
] | State-of-the-art approaches to legged locomotion are widely dependent on the use of models like the linear inverted pendulum (LIP) and the spring-loaded inverted pendulum (SLIP), popular because their simplicity enables a wide array of tools for planning, control, and analysis. However, they inevitably limit the abilit... |
2206.11302 | Brendon Boldt | Brendon Boldt, David Mortensen | Recommendations for Systematic Research on Emergent Language | 10 pages | null | null | null | cs.MA cs.CL | http://creativecommons.org/licenses/by/4.0/ | Emergent language is unique among fields within the discipline of machine
learning for its open-endedness, not obviously presenting well-defined problems
to be solved. As a result, the current research in the field has largely been
exploratory: focusing on establishing new problems, techniques, and phenomena.
Yet aft... | [
{
"created": "Wed, 22 Jun 2022 18:10:44 GMT",
"version": "v1"
}
] | 2022-06-24 | [
[
"Boldt",
"Brendon",
""
],
[
"Mortensen",
"David",
""
]
] | Emergent language is unique among fields within the discipline of machine learning for its open-endedness, not obviously presenting well-defined problems to be solved. As a result, the current research in the field has largely been exploratory: focusing on establishing new problems, techniques, and phenomena. Yet after... |
1306.1947 | Wan Fokkink | Wan Fokkink, Dick Grune, Brinio Hond, Peter Rutgers | Detecting Useless Transitions in Pushdown Automata | null | null | null | null | cs.FL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pushdown automata may contain transitions that are never used in any
accepting run of the automaton. We present an algorithm for detecting such
useless transitions. A finite automaton that captures the possible stack
content during runs of the pushdown automaton, is first constructed in a
forward procedure to determi... | [
{
"created": "Sat, 8 Jun 2013 19:10:45 GMT",
"version": "v1"
}
] | 2013-06-11 | [
[
"Fokkink",
"Wan",
""
],
[
"Grune",
"Dick",
""
],
[
"Hond",
"Brinio",
""
],
[
"Rutgers",
"Peter",
""
]
] | Pushdown automata may contain transitions that are never used in any accepting run of the automaton. We present an algorithm for detecting such useless transitions. A finite automaton that captures the possible stack content during runs of the pushdown automaton, is first constructed in a forward procedure to determine... |
1803.10654 | Najoua Essoukri Ben Amara | Ines Baccouche, Sabeur Jemmali, Asma Mlayah, Bilal Manai, Najoua
Essoukri Ben Amara | Implementation of an Improved Coulomb-Counting Algorithm Based on a
Piecewise SOC-OCV Relationship for SOC Estimation of Li-IonBattery | null | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Considering the expanding useofembedded devices equipped with rechargeable
batteries, especially Li-ionbatteries that have higher power and energy
density, the battery management systemis becomingincreasingly important.
Infact, theestimationaccuracy of the amount of the remaining charges is
critical as it affects the... | [
{
"created": "Tue, 27 Mar 2018 16:55:59 GMT",
"version": "v1"
}
] | 2018-03-29 | [
[
"Baccouche",
"Ines",
""
],
[
"Jemmali",
"Sabeur",
""
],
[
"Mlayah",
"Asma",
""
],
[
"Manai",
"Bilal",
""
],
[
"Amara",
"Najoua Essoukri Ben",
""
]
] | Considering the expanding useofembedded devices equipped with rechargeable batteries, especially Li-ionbatteries that have higher power and energy density, the battery management systemis becomingincreasingly important. Infact, theestimationaccuracy of the amount of the remaining charges is critical as it affects the d... |
2010.02029 | Quan Zhang | Quan Zhang, Huangjie Zheng, Mingyuan Zhou | MCMC-Interactive Variational Inference | 25 pages, 7 figures, 3 tables | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Leveraging well-established MCMC strategies, we propose MCMC-interactive
variational inference (MIVI) to not only estimate the posterior in a time
constrained manner, but also facilitate the design of MCMC transitions.
Constructing a variational distribution followed by a short Markov chain that
has parameters to lea... | [
{
"created": "Fri, 2 Oct 2020 17:43:20 GMT",
"version": "v1"
},
{
"created": "Mon, 12 Dec 2022 20:07:54 GMT",
"version": "v2"
}
] | 2022-12-14 | [
[
"Zhang",
"Quan",
""
],
[
"Zheng",
"Huangjie",
""
],
[
"Zhou",
"Mingyuan",
""
]
] | Leveraging well-established MCMC strategies, we propose MCMC-interactive variational inference (MIVI) to not only estimate the posterior in a time constrained manner, but also facilitate the design of MCMC transitions. Constructing a variational distribution followed by a short Markov chain that has parameters to learn... |
1102.0850 | Zoltan Esik | Zoltan Esik | Scattered context-free linear orderings | null | null | null | null | cs.FL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We show that it is decidable in exponential time whether the lexicographic
ordering of a context-free language is scattered, or a well-ordering.
| [
{
"created": "Fri, 4 Feb 2011 08:13:59 GMT",
"version": "v1"
},
{
"created": "Wed, 23 Feb 2011 03:51:12 GMT",
"version": "v2"
}
] | 2015-03-18 | [
[
"Esik",
"Zoltan",
""
]
] | We show that it is decidable in exponential time whether the lexicographic ordering of a context-free language is scattered, or a well-ordering. |
2406.04290 | Trevor E. Carlson | Ali Hajiabadi, Trevor E. Carlson | Providing High-Performance Execution with a Sequential Contract for
Cryptographic Programs | 17 pages, 7 figures, 4 tables | null | null | null | cs.CR cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Constant-time programming is a widely deployed approach to harden
cryptographic programs against side channel attacks. However, modern processors
violate the underlying assumptions of constant-time policies by speculatively
executing unintended paths of the program.
In this work, we propose Cassandra, a novel hardw... | [
{
"created": "Thu, 6 Jun 2024 17:34:48 GMT",
"version": "v1"
}
] | 2024-06-07 | [
[
"Hajiabadi",
"Ali",
""
],
[
"Carlson",
"Trevor E.",
""
]
] | Constant-time programming is a widely deployed approach to harden cryptographic programs against side channel attacks. However, modern processors violate the underlying assumptions of constant-time policies by speculatively executing unintended paths of the program. In this work, we propose Cassandra, a novel hardware-... |
2311.18085 | Shubham Gandhi | Shubham Gandhi, Om Khare, Mihika Dravid, Mihika Sanghvi, Sunil Mane,
Aadesh Gajaralwar, Saloni Gandhi | Leveraging a Randomized Key Matrix to Enhance the Security of Symmetric
Substitution Ciphers | In Proceedings of the 10th IEEE Asia-Pacific Conference on Computer
Science and Data Engineering 2023 (CSDE) | null | null | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | An innovative strategy to enhance the security of symmetric substitution
ciphers is presented, through the implementation of a randomized key matrix
suitable for various file formats, including but not limited to binary and text
files. Despite their historical relevance, symmetric substitution ciphers have
been limit... | [
{
"created": "Wed, 29 Nov 2023 21:13:38 GMT",
"version": "v1"
}
] | 2023-12-01 | [
[
"Gandhi",
"Shubham",
""
],
[
"Khare",
"Om",
""
],
[
"Dravid",
"Mihika",
""
],
[
"Sanghvi",
"Mihika",
""
],
[
"Mane",
"Sunil",
""
],
[
"Gajaralwar",
"Aadesh",
""
],
[
"Gandhi",
"Saloni",
""
]
] | An innovative strategy to enhance the security of symmetric substitution ciphers is presented, through the implementation of a randomized key matrix suitable for various file formats, including but not limited to binary and text files. Despite their historical relevance, symmetric substitution ciphers have been limited... |
1610.09064 | Himabindu Lakkaraju | Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Eric Horvitz | Identifying Unknown Unknowns in the Open World: Representations and
Policies for Guided Exploration | To appear in AAAI 2017; Presented at NIPS Workshop on Reliability in
ML, 2016 | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Predictive models deployed in the real world may assign incorrect labels to
instances with high confidence. Such errors or unknown unknowns are rooted in
model incompleteness, and typically arise because of the mismatch between
training data and the cases encountered at test time. As the models are blind
to such erro... | [
{
"created": "Fri, 28 Oct 2016 02:55:14 GMT",
"version": "v1"
},
{
"created": "Tue, 6 Dec 2016 03:01:21 GMT",
"version": "v2"
},
{
"created": "Sat, 10 Dec 2016 06:02:38 GMT",
"version": "v3"
}
] | 2016-12-13 | [
[
"Lakkaraju",
"Himabindu",
""
],
[
"Kamar",
"Ece",
""
],
[
"Caruana",
"Rich",
""
],
[
"Horvitz",
"Eric",
""
]
] | Predictive models deployed in the real world may assign incorrect labels to instances with high confidence. Such errors or unknown unknowns are rooted in model incompleteness, and typically arise because of the mismatch between training data and the cases encountered at test time. As the models are blind to such errors... |
2101.04834 | Doris Xin | Doris Xin, Eva Yiwei Wu, Doris Jung-Lin Lee, Niloufar Salehi, Aditya
Parameswaran | Whither AutoML? Understanding the Role of Automation in Machine Learning
Workflows | null | null | null | null | cs.HC cs.LG | http://creativecommons.org/licenses/by/4.0/ | Efforts to make machine learning more widely accessible have led to a rapid
increase in Auto-ML tools that aim to automate the process of training and
deploying machine learning. To understand how Auto-ML tools are used in
practice today, we performed a qualitative study with participants ranging from
novice hobbyist... | [
{
"created": "Wed, 13 Jan 2021 02:12:46 GMT",
"version": "v1"
}
] | 2021-01-14 | [
[
"Xin",
"Doris",
""
],
[
"Wu",
"Eva Yiwei",
""
],
[
"Lee",
"Doris Jung-Lin",
""
],
[
"Salehi",
"Niloufar",
""
],
[
"Parameswaran",
"Aditya",
""
]
] | Efforts to make machine learning more widely accessible have led to a rapid increase in Auto-ML tools that aim to automate the process of training and deploying machine learning. To understand how Auto-ML tools are used in practice today, we performed a qualitative study with participants ranging from novice hobbyists ... |
2107.11878 | Abhishek Aich | Abhishek Aich, Meng Zheng, Srikrishna Karanam, Terrence Chen, Amit K.
Roy-Chowdhury, Ziyan Wu | Spatio-Temporal Representation Factorization for Video-based Person
Re-Identification | Accepted at IEEE ICCV 2021, Includes Supplementary Material | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Despite much recent progress in video-based person re-identification (re-ID),
the current state-of-the-art still suffers from common real-world challenges
such as appearance similarity among various people, occlusions, and frame
misalignment. To alleviate these problems, we propose Spatio-Temporal
Representation Fact... | [
{
"created": "Sun, 25 Jul 2021 19:29:37 GMT",
"version": "v1"
},
{
"created": "Sun, 15 Aug 2021 01:49:08 GMT",
"version": "v2"
}
] | 2021-08-17 | [
[
"Aich",
"Abhishek",
""
],
[
"Zheng",
"Meng",
""
],
[
"Karanam",
"Srikrishna",
""
],
[
"Chen",
"Terrence",
""
],
[
"Roy-Chowdhury",
"Amit K.",
""
],
[
"Wu",
"Ziyan",
""
]
] | Despite much recent progress in video-based person re-identification (re-ID), the current state-of-the-art still suffers from common real-world challenges such as appearance similarity among various people, occlusions, and frame misalignment. To alleviate these problems, we propose Spatio-Temporal Representation Factor... |
0709.4671 | Ruoheng Liu | Ruoheng Liu and H. Vincent Poor | Secrecy Capacity Region of a Multi-Antenna Gaussian Broadcast Channel
with Confidential Messages | Submitted to the IEEE Transactions on Information Theory | null | null | null | cs.IT math.IT | null | In wireless data networks, communication is particularly susceptible to
eavesdropping due to its broadcast nature. Security and privacy systems have
become critical for wireless providers and enterprise networks. This paper
considers the problem of secret communication over the Gaussian broadcast
channel, where a mul... | [
{
"created": "Fri, 28 Sep 2007 19:10:03 GMT",
"version": "v1"
}
] | 2007-10-01 | [
[
"Liu",
"Ruoheng",
""
],
[
"Poor",
"H. Vincent",
""
]
] | In wireless data networks, communication is particularly susceptible to eavesdropping due to its broadcast nature. Security and privacy systems have become critical for wireless providers and enterprise networks. This paper considers the problem of secret communication over the Gaussian broadcast channel, where a multi... |
1702.03791 | Hong Yu | Hong Yu, Zheng-Hua Tan, Zhanyu Ma, Jun Guo | DNN Filter Bank Cepstral Coefficients for Spoofing Detection | null | null | null | null | cs.SD cs.CR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the development of speech synthesis techniques, automatic speaker
verification systems face the serious challenge of spoofing attack. In order to
improve the reliability of speaker verification systems, we develop a new
filter bank based cepstral feature, deep neural network filter bank cepstral
coefficients (DN... | [
{
"created": "Mon, 13 Feb 2017 14:44:17 GMT",
"version": "v1"
}
] | 2017-02-14 | [
[
"Yu",
"Hong",
""
],
[
"Tan",
"Zheng-Hua",
""
],
[
"Ma",
"Zhanyu",
""
],
[
"Guo",
"Jun",
""
]
] | With the development of speech synthesis techniques, automatic speaker verification systems face the serious challenge of spoofing attack. In order to improve the reliability of speaker verification systems, we develop a new filter bank based cepstral feature, deep neural network filter bank cepstral coefficients (DNN-... |
2012.00483 | Markus Leippold | Francesco S. Varini and Jordan Boyd-Graber and Massimiliano Ciaramita
and Markus Leippold | ClimaText: A Dataset for Climate Change Topic Detection | Accepted for the Tackling Climate Change with Machine Learning
Workshop at NeurIPS 2020 | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Climate change communication in the mass media and other textual sources may
affect and shape public perception. Extracting climate change information from
these sources is an important task, e.g., for filtering content and
e-discovery, sentiment analysis, automatic summarization, question-answering,
and fact-checkin... | [
{
"created": "Tue, 1 Dec 2020 13:42:37 GMT",
"version": "v1"
},
{
"created": "Sat, 2 Jan 2021 16:13:06 GMT",
"version": "v2"
}
] | 2021-01-05 | [
[
"Varini",
"Francesco S.",
""
],
[
"Boyd-Graber",
"Jordan",
""
],
[
"Ciaramita",
"Massimiliano",
""
],
[
"Leippold",
"Markus",
""
]
] | Climate change communication in the mass media and other textual sources may affect and shape public perception. Extracting climate change information from these sources is an important task, e.g., for filtering content and e-discovery, sentiment analysis, automatic summarization, question-answering, and fact-checking.... |
1601.06453 | Or Ordentlich | Or Ordentlich | Novel Lower Bounds on the Entropy Rate of Binary Hidden Markov Processes | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, Samorodnitsky proved a strengthened version of Mrs. Gerber's Lemma,
where the output entropy of a binary symmetric channel is bounded in terms of
the average entropy of the input projected on a random subset of coordinates.
Here, this result is applied for deriving novel lower bounds on the entropy
rate of ... | [
{
"created": "Mon, 25 Jan 2016 00:19:36 GMT",
"version": "v1"
},
{
"created": "Mon, 9 May 2016 21:24:26 GMT",
"version": "v2"
}
] | 2016-05-11 | [
[
"Ordentlich",
"Or",
""
]
] | Recently, Samorodnitsky proved a strengthened version of Mrs. Gerber's Lemma, where the output entropy of a binary symmetric channel is bounded in terms of the average entropy of the input projected on a random subset of coordinates. Here, this result is applied for deriving novel lower bounds on the entropy rate of bi... |
2310.06762 | Xiao Wang | Xiao Wang, Yuansen Zhang, Tianze Chen, Songyang Gao, Senjie Jin,
Xianjun Yang, Zhiheng Xi, Rui Zheng, Yicheng Zou, Tao Gui, Qi Zhang, Xuanjing
Huang | TRACE: A Comprehensive Benchmark for Continual Learning in Large
Language Models | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Aligned large language models (LLMs) demonstrate exceptional capabilities in
task-solving, following instructions, and ensuring safety. However, the
continual learning aspect of these aligned LLMs has been largely overlooked.
Existing continual learning benchmarks lack sufficient challenge for leading
aligned LLMs, o... | [
{
"created": "Tue, 10 Oct 2023 16:38:49 GMT",
"version": "v1"
}
] | 2023-10-11 | [
[
"Wang",
"Xiao",
""
],
[
"Zhang",
"Yuansen",
""
],
[
"Chen",
"Tianze",
""
],
[
"Gao",
"Songyang",
""
],
[
"Jin",
"Senjie",
""
],
[
"Yang",
"Xianjun",
""
],
[
"Xi",
"Zhiheng",
""
],
[
"Zheng",
"Ru... | Aligned large language models (LLMs) demonstrate exceptional capabilities in task-solving, following instructions, and ensuring safety. However, the continual learning aspect of these aligned LLMs has been largely overlooked. Existing continual learning benchmarks lack sufficient challenge for leading aligned LLMs, owi... |
2403.12830 | Chenglong Wang | Cheng-Long Wang, Qi Li, Zihang Xiang, Yinzhi Cao, and Di Wang | Towards Lifecycle Unlearning Commitment Management: Measuring
Sample-level Approximate Unlearning Completeness | null | null | null | null | cs.LG cs.CR | http://creativecommons.org/licenses/by/4.0/ | By adopting a more flexible definition of unlearning and adjusting the model
distribution to simulate training without the targeted data, approximate
machine unlearning provides a less resource-demanding alternative to the more
laborious exact unlearning methods. Yet, the unlearning completeness of target
samples-eve... | [
{
"created": "Tue, 19 Mar 2024 15:37:27 GMT",
"version": "v1"
},
{
"created": "Tue, 30 Apr 2024 23:20:41 GMT",
"version": "v2"
}
] | 2024-05-02 | [
[
"Wang",
"Cheng-Long",
""
],
[
"Li",
"Qi",
""
],
[
"Xiang",
"Zihang",
""
],
[
"Cao",
"Yinzhi",
""
],
[
"Wang",
"Di",
""
]
] | By adopting a more flexible definition of unlearning and adjusting the model distribution to simulate training without the targeted data, approximate machine unlearning provides a less resource-demanding alternative to the more laborious exact unlearning methods. Yet, the unlearning completeness of target samples-even ... |
1603.03727 | Hongwei Xi | Hongwei Xi and Zhiqiang Ren and Hanwen Wu and William Blair | Session Types in a Linearly Typed Multi-Threaded Lambda-Calculus | This is the original version of the paper on supporting programming
with dyadic session types in ATS | null | null | null | cs.PL cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a formalization of session types in a multi-threaded
lambda-calculus (MTLC) equipped with a linear type system, establishing for the
MTLC both type preservation and global progress. The latter (global progress)
implies that the evaluation of a well-typed program in the MTLC can never reach
a deadlock. As t... | [
{
"created": "Fri, 11 Mar 2016 19:15:03 GMT",
"version": "v1"
}
] | 2016-03-14 | [
[
"Xi",
"Hongwei",
""
],
[
"Ren",
"Zhiqiang",
""
],
[
"Wu",
"Hanwen",
""
],
[
"Blair",
"William",
""
]
] | We present a formalization of session types in a multi-threaded lambda-calculus (MTLC) equipped with a linear type system, establishing for the MTLC both type preservation and global progress. The latter (global progress) implies that the evaluation of a well-typed program in the MTLC can never reach a deadlock. As thi... |
2112.13301 | Rajagopal Venkatesaramani | Rajagopal Venkatesaramani, Zhiyu Wan, Bradley A. Malin, Yevgeniy
Vorobeychik | Defending Against Membership Inference Attacks on Beacon Services | null | null | null | null | cs.CR q-bio.GN | http://creativecommons.org/licenses/by/4.0/ | Large genomic datasets are now created through numerous activities, including
recreational genealogical investigations, biomedical research, and clinical
care. At the same time, genomic data has become valuable for reuse beyond their
initial point of collection, but privacy concerns often hinder access. Over the
past... | [
{
"created": "Sat, 25 Dec 2021 23:33:44 GMT",
"version": "v1"
}
] | 2021-12-28 | [
[
"Venkatesaramani",
"Rajagopal",
""
],
[
"Wan",
"Zhiyu",
""
],
[
"Malin",
"Bradley A.",
""
],
[
"Vorobeychik",
"Yevgeniy",
""
]
] | Large genomic datasets are now created through numerous activities, including recreational genealogical investigations, biomedical research, and clinical care. At the same time, genomic data has become valuable for reuse beyond their initial point of collection, but privacy concerns often hinder access. Over the past s... |
2307.06563 | Geoffrey Goodell | Ryan Bowler, Chris Speed, Geoffrey Goodell | Money: Who Has a Stake in the Most Value-Centric Common Design Material? | 19 pages, 1 figure | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Money is more than just a numeric value. It embodies trust and moral gravity,
and it offers flexible ways to transact. However, the emergence of Central Bank
Digital Currency (CBDC) is set to bring about a drastic change in the future of
money. This paper invites designers to reflect on their role in shaping
material... | [
{
"created": "Thu, 13 Jul 2023 05:30:41 GMT",
"version": "v1"
}
] | 2023-07-14 | [
[
"Bowler",
"Ryan",
""
],
[
"Speed",
"Chris",
""
],
[
"Goodell",
"Geoffrey",
""
]
] | Money is more than just a numeric value. It embodies trust and moral gravity, and it offers flexible ways to transact. However, the emergence of Central Bank Digital Currency (CBDC) is set to bring about a drastic change in the future of money. This paper invites designers to reflect on their role in shaping material a... |
2209.07943 | Mirza Fuad Adnan | Mirza Fuad Adnan, Nadim Ahmed, Imrez Ishraque, Md. Sifath Al Amin, Md.
Sumit Hasan | Traffic Congestion Prediction using Deep Convolutional Neural Networks:
A Color-coding Approach | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The traffic video data has become a critical factor in confining the state of
traffic congestion due to the recent advancements in computer vision. This work
proposes a unique technique for traffic video classification using a
color-coding scheme before training the traffic data in a Deep convolutional
neural network... | [
{
"created": "Fri, 16 Sep 2022 14:02:20 GMT",
"version": "v1"
}
] | 2022-09-19 | [
[
"Adnan",
"Mirza Fuad",
""
],
[
"Ahmed",
"Nadim",
""
],
[
"Ishraque",
"Imrez",
""
],
[
"Amin",
"Md. Sifath Al",
""
],
[
"Hasan",
"Md. Sumit",
""
]
] | The traffic video data has become a critical factor in confining the state of traffic congestion due to the recent advancements in computer vision. This work proposes a unique technique for traffic video classification using a color-coding scheme before training the traffic data in a Deep convolutional neural network. ... |
1809.03254 | Jakub Michaliszyn | Jakub Michaliszyn | Elementary Multimodal Logics | null | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study multimodal logics over universally first-order definable classes of
frames. We show that even for bimodal logics, there are universal Horn formulas
that define set of frames such that the satisfiability problem is undecidable,
even if one or two of the binary relations are transitive.
| [
{
"created": "Mon, 10 Sep 2018 12:01:13 GMT",
"version": "v1"
}
] | 2018-09-11 | [
[
"Michaliszyn",
"Jakub",
""
]
] | We study multimodal logics over universally first-order definable classes of frames. We show that even for bimodal logics, there are universal Horn formulas that define set of frames such that the satisfiability problem is undecidable, even if one or two of the binary relations are transitive. |
2303.02880 | Yan Qin | Yan Qin, Yong Liang Guan, and Chau Yuen | Spatiotemporal Capsule Neural Network for Vehicle Trajectory Prediction | IEEE TVT has accepted this paper | null | null | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Through advancement of the Vehicle-to-Everything (V2X) network, road safety,
energy consumption, and traffic efficiency can be significantly improved. An
accurate vehicle trajectory prediction benefits communication traffic
management and network resource allocation for the real-time application of the
V2X network. R... | [
{
"created": "Mon, 6 Mar 2023 04:15:29 GMT",
"version": "v1"
}
] | 2023-03-07 | [
[
"Qin",
"Yan",
""
],
[
"Guan",
"Yong Liang",
""
],
[
"Yuen",
"Chau",
""
]
] | Through advancement of the Vehicle-to-Everything (V2X) network, road safety, energy consumption, and traffic efficiency can be significantly improved. An accurate vehicle trajectory prediction benefits communication traffic management and network resource allocation for the real-time application of the V2X network. Rec... |
1912.03135 | Preslav Nakov | Francisco Guzman, Shafiq Joty, Lluis Marquez, Preslav Nakov | Pairwise Neural Machine Translation Evaluation | machine translation evaluation, machine translation, pairwise
ranking, learning to rank. arXiv admin note: substantial text overlap with
arXiv:1710.02095 | Conference of the Association for Computational Linguistics
(ACL'2015) | null | null | cs.CL cs.IR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a novel framework for machine translation evaluation using neural
networks in a pairwise setting, where the goal is to select the better
translation from a pair of hypotheses, given the reference translation. In this
framework, lexical, syntactic and semantic information from the reference and
the two hypo... | [
{
"created": "Thu, 5 Dec 2019 05:17:05 GMT",
"version": "v1"
}
] | 2019-12-09 | [
[
"Guzman",
"Francisco",
""
],
[
"Joty",
"Shafiq",
""
],
[
"Marquez",
"Lluis",
""
],
[
"Nakov",
"Preslav",
""
]
] | We present a novel framework for machine translation evaluation using neural networks in a pairwise setting, where the goal is to select the better translation from a pair of hypotheses, given the reference translation. In this framework, lexical, syntactic and semantic information from the reference and the two hypoth... |
1805.10383 | Christopher Jenkins | Christopher Jenkins, Aaron Stump | Spine-local Type Inference | Submitted to IFL'18 (Implementation and Application of Functional
Languages) | null | null | null | cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present spine-local type inference, a partial type inference system for
inferring omitted type annotations for System F terms based on local type
inference. Local type inference relies on bidirectional inference rules to
propagate type information into and out of adjacent nodes of the AST and
restricts type-argume... | [
{
"created": "Fri, 25 May 2018 22:44:08 GMT",
"version": "v1"
}
] | 2018-05-29 | [
[
"Jenkins",
"Christopher",
""
],
[
"Stump",
"Aaron",
""
]
] | We present spine-local type inference, a partial type inference system for inferring omitted type annotations for System F terms based on local type inference. Local type inference relies on bidirectional inference rules to propagate type information into and out of adjacent nodes of the AST and restricts type-argument... |
2210.06333 | Max Chumley | Max M. Chumley, Melih C. Yesilli, Jisheng Chen, Firas A. Khasawneh,
Yang Guo | Pattern Characterization Using Topological Data Analysis: Application to
Piezo Vibration Striking Treatment | Updated 6/9/23 to include changes from the review process. Main
updates: redefined roundness score to be consistent with the outputs from the
depth score (percentage), all quantities defined in terms of radius instead
of diameter, added noise study to demonstrate noise robustness of the scores | null | 10.1016/j.precisioneng.2023.05.005 | null | cs.CG math.AT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Quantifying patterns in visual or tactile textures provides important
information about the process or phenomena that generated these patterns. In
manufacturing, these patterns can be intentionally introduced as a design
feature, or they can be a byproduct of a specific process. Since surface
texture has significant ... | [
{
"created": "Wed, 12 Oct 2022 15:53:23 GMT",
"version": "v1"
},
{
"created": "Fri, 9 Jun 2023 22:26:13 GMT",
"version": "v2"
}
] | 2023-06-13 | [
[
"Chumley",
"Max M.",
""
],
[
"Yesilli",
"Melih C.",
""
],
[
"Chen",
"Jisheng",
""
],
[
"Khasawneh",
"Firas A.",
""
],
[
"Guo",
"Yang",
""
]
] | Quantifying patterns in visual or tactile textures provides important information about the process or phenomena that generated these patterns. In manufacturing, these patterns can be intentionally introduced as a design feature, or they can be a byproduct of a specific process. Since surface texture has significant im... |
2407.13363 | Chang Liu | Chang Liu, Giulia Rizzoli, Pietro Zanuttigh, Fu Li, Yi Niu | Learning from the Web: Language Drives Weakly-Supervised Incremental
Learning for Semantic Segmentation | ECCV 2024 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Current weakly-supervised incremental learning for semantic segmentation
(WILSS) approaches only consider replacing pixel-level annotations with
image-level labels, while the training images are still from well-designed
datasets. In this work, we argue that widely available web images can also be
considered for the l... | [
{
"created": "Thu, 18 Jul 2024 10:14:49 GMT",
"version": "v1"
}
] | 2024-07-19 | [
[
"Liu",
"Chang",
""
],
[
"Rizzoli",
"Giulia",
""
],
[
"Zanuttigh",
"Pietro",
""
],
[
"Li",
"Fu",
""
],
[
"Niu",
"Yi",
""
]
] | Current weakly-supervised incremental learning for semantic segmentation (WILSS) approaches only consider replacing pixel-level annotations with image-level labels, while the training images are still from well-designed datasets. In this work, we argue that widely available web images can also be considered for the lea... |
1509.05618 | Ioannis Krikidis | Ioannis Krikidis | Relay Selection in Wireless Powered Cooperative Networks with Energy
Storage | IEEE Journal Selected Areas on Communications- Special Issue on Green
Communications and Networking | null | 10.1109/JSAC.2015.2479015 | null | cs.IT cs.NI math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper deals with the problem of relay selection in wireless powered
cooperative networks, where spatially random relays are equipped with energy
storage devices e.g., batteries. In contrast to conventional techniques and in
order to reduce complexity, the relay nodes can either harvest energy from the
source sig... | [
{
"created": "Fri, 18 Sep 2015 13:22:43 GMT",
"version": "v1"
}
] | 2016-11-17 | [
[
"Krikidis",
"Ioannis",
""
]
] | This paper deals with the problem of relay selection in wireless powered cooperative networks, where spatially random relays are equipped with energy storage devices e.g., batteries. In contrast to conventional techniques and in order to reduce complexity, the relay nodes can either harvest energy from the source signa... |
1703.00356 | Renata Khasanova | Renata Khasanova and Pascal Frossard | Graph-based Isometry Invariant Representation Learning | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Learning transformation invariant representations of visual data is an
important problem in computer vision. Deep convolutional networks have
demonstrated remarkable results for image and video classification tasks.
However, they have achieved only limited success in the classification of
images that undergo geometri... | [
{
"created": "Wed, 1 Mar 2017 15:51:13 GMT",
"version": "v1"
}
] | 2017-03-02 | [
[
"Khasanova",
"Renata",
""
],
[
"Frossard",
"Pascal",
""
]
] | Learning transformation invariant representations of visual data is an important problem in computer vision. Deep convolutional networks have demonstrated remarkable results for image and video classification tasks. However, they have achieved only limited success in the classification of images that undergo geometric ... |
2004.01300 | Sabur Baidya | Sabur Baidya, Peyman Tehrani and Marco Levorato | Data-Driven Path Selection for Real-Time Video Streaming at the Network
Edge | This article has been accepted for publication in the IEEE
International Conference on Communications (ICC) Workshop on "Edge Machine
Learning for 5G Mobile Networks and Beyond (EML5G)" 2020 | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we present a framework for the dynamic selection of the
wireless channels used to deliver information-rich data streams to edge
servers. The approach we propose is data-driven, where a predictor, whose
output informs the decision making of the channel selector, is built from
available data on the trans... | [
{
"created": "Thu, 2 Apr 2020 23:08:00 GMT",
"version": "v1"
}
] | 2020-04-06 | [
[
"Baidya",
"Sabur",
""
],
[
"Tehrani",
"Peyman",
""
],
[
"Levorato",
"Marco",
""
]
] | In this paper, we present a framework for the dynamic selection of the wireless channels used to deliver information-rich data streams to edge servers. The approach we propose is data-driven, where a predictor, whose output informs the decision making of the channel selector, is built from available data on the transfo... |
cs/0512100 | Giorgi Japaridze | Giorgi Japaridze | The logic of interactive Turing reduction | null | Journal of Symbolic Logic 72 (2007), pp. 243-276 | 10.2178/jsl/1174668394 | null | cs.LO cs.AI math.LO | null | The paper gives a soundness and completeness proof for the implicative
fragment of intuitionistic calculus with respect to the semantics of
computability logic, which understands intuitionistic implication as
interactive algorithmic reduction. This concept -- more precisely, the
associated concept of reducibility -- ... | [
{
"created": "Wed, 28 Dec 2005 07:25:57 GMT",
"version": "v1"
},
{
"created": "Thu, 29 Dec 2005 22:03:06 GMT",
"version": "v2"
},
{
"created": "Fri, 3 Feb 2006 05:44:27 GMT",
"version": "v3"
},
{
"created": "Sat, 11 Feb 2006 15:38:42 GMT",
"version": "v4"
}
] | 2011-04-15 | [
[
"Japaridze",
"Giorgi",
""
]
] | The paper gives a soundness and completeness proof for the implicative fragment of intuitionistic calculus with respect to the semantics of computability logic, which understands intuitionistic implication as interactive algorithmic reduction. This concept -- more precisely, the associated concept of reducibility -- is... |
2309.09228 | Nikola Jedli\v{c}kov\'a | Nikola Jedli\v{c}kov\'a, Jan Kratochv\'il | Hamiltonian path and Hamiltonian cycle are solvable in polynomial time
in graphs of bounded independence number | null | null | null | null | cs.DM math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A Hamiltonian path (a Hamiltonian cycle) in a graph is a path (a cycle,
respectively) that traverses all of its vertices. The problems of deciding
their existence in an input graph are well-known to be NP-complete, in fact,
they belong to the first problems shown to be computationally hard when the
theory of NP-compl... | [
{
"created": "Sun, 17 Sep 2023 09:59:47 GMT",
"version": "v1"
},
{
"created": "Tue, 9 Apr 2024 16:58:02 GMT",
"version": "v2"
}
] | 2024-04-10 | [
[
"Jedličková",
"Nikola",
""
],
[
"Kratochvíl",
"Jan",
""
]
] | A Hamiltonian path (a Hamiltonian cycle) in a graph is a path (a cycle, respectively) that traverses all of its vertices. The problems of deciding their existence in an input graph are well-known to be NP-complete, in fact, they belong to the first problems shown to be computationally hard when the theory of NP-complet... |
2101.12691 | Tao Wang | Tao Wang, Xiangrui Yang, Gianni Antichi, Anirudh Sivaraman, Aurojit
Panda | Isolation mechanisms for high-speed packet-processing pipelines | null | The 19th USENIX Symposium on Networked Systems Design and
Implementation (NSDI '22), 2022 | null | null | cs.NI cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Data-plane programmability is now mainstream. As we find more use cases,
deployments need to be able to run multiple packet-processing modules in a
single device. These are likely to be developed by independent teams, either
within the same organization or from multiple organizations. Therefore, we need
isolation mec... | [
{
"created": "Fri, 29 Jan 2021 17:21:27 GMT",
"version": "v1"
},
{
"created": "Mon, 10 May 2021 20:48:20 GMT",
"version": "v2"
},
{
"created": "Fri, 17 Sep 2021 03:45:01 GMT",
"version": "v3"
},
{
"created": "Wed, 2 Mar 2022 17:26:01 GMT",
"version": "v4"
}
] | 2022-04-19 | [
[
"Wang",
"Tao",
""
],
[
"Yang",
"Xiangrui",
""
],
[
"Antichi",
"Gianni",
""
],
[
"Sivaraman",
"Anirudh",
""
],
[
"Panda",
"Aurojit",
""
]
] | Data-plane programmability is now mainstream. As we find more use cases, deployments need to be able to run multiple packet-processing modules in a single device. These are likely to be developed by independent teams, either within the same organization or from multiple organizations. Therefore, we need isolation mecha... |
2301.03512 | Julian Schmidt | Thomas Monninger, Julian Schmidt, Jan Rupprecht, David Raba, Julian
Jordan, Daniel Frank, Steffen Staab, Klaus Dietmayer | SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural
Networks | Thomas Monninger and Julian Schmidt are co-first authors. The order
was determined alphabetically | IEEE Robotics and Automation Letters (RA-L), 2023 | 10.1109/LRA.2023.3234771 | null | cs.CV cs.AI cs.LG cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Understanding traffic scenes requires considering heterogeneous information
about dynamic agents and the static infrastructure. In this work we propose
SCENE, a methodology to encode diverse traffic scenes in heterogeneous graphs
and to reason about these graphs using a heterogeneous Graph Neural Network
encoder and ... | [
{
"created": "Mon, 9 Jan 2023 17:05:28 GMT",
"version": "v1"
}
] | 2023-01-10 | [
[
"Monninger",
"Thomas",
""
],
[
"Schmidt",
"Julian",
""
],
[
"Rupprecht",
"Jan",
""
],
[
"Raba",
"David",
""
],
[
"Jordan",
"Julian",
""
],
[
"Frank",
"Daniel",
""
],
[
"Staab",
"Steffen",
""
],
[
"D... | Understanding traffic scenes requires considering heterogeneous information about dynamic agents and the static infrastructure. In this work we propose SCENE, a methodology to encode diverse traffic scenes in heterogeneous graphs and to reason about these graphs using a heterogeneous Graph Neural Network encoder and ta... |
1502.02481 | Shahbaz Khan | Surender Baswana, Shreejit Ray Chaudhury, Keerti Choudhary and Shahbaz
Khan | Dynamic DFS Tree in Undirected Graphs: breaking the $O(m)$ barrier | 27 pages, SODA 2016 | null | 10.1137/1.9781611974331.ch52 | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Depth first search (DFS) tree is a fundamental data structure for solving
various problems in graphs. It is well known that it takes $O(m+n)$ time to
build a DFS tree for a given undirected graph $G=(V,E)$ on $n$ vertices and $m$
edges. We address the problem of maintaining a DFS tree when the graph is
undergoing {\e... | [
{
"created": "Mon, 9 Feb 2015 13:36:20 GMT",
"version": "v1"
},
{
"created": "Fri, 3 Apr 2015 10:11:02 GMT",
"version": "v2"
},
{
"created": "Mon, 28 Dec 2015 17:34:08 GMT",
"version": "v3"
},
{
"created": "Wed, 7 Feb 2018 15:42:54 GMT",
"version": "v4"
}
] | 2018-02-08 | [
[
"Baswana",
"Surender",
""
],
[
"Chaudhury",
"Shreejit Ray",
""
],
[
"Choudhary",
"Keerti",
""
],
[
"Khan",
"Shahbaz",
""
]
] | Depth first search (DFS) tree is a fundamental data structure for solving various problems in graphs. It is well known that it takes $O(m+n)$ time to build a DFS tree for a given undirected graph $G=(V,E)$ on $n$ vertices and $m$ edges. We address the problem of maintaining a DFS tree when the graph is undergoing {\em ... |
1105.6010 | Tayeb Bouhadiba | Tayeb Bouhadiba (INRIA Grenoble Rh\^one-Alpes / LIG Laboratoire
d'Informatique de Grenoble), Quentin Sabah (INRIA Grenoble Rh\^one-Alpes /
LIG Laboratoire d'Informatique de Grenoble), Gwena\"el Delaval (INRIA
Grenoble Rh\^one-Alpes / LIG Laboratoire d'Informatique de Grenoble), \'Eric
Rutten (INRIA Grenoble Rh\... | Synchronous Control of Reconfiguration in Fractal Component-based
Systems -- a Case Study | null | N° RR-7631 (2011) | null | RR-7631, RR-7631 | cs.SE cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the context of component-based embedded systems, the management of dynamic
reconfiguration in adaptive systems is an increasingly important feature. The
Fractal component-based framework, and its industrial instantiation MIND,
provide for support for control operations in the lifecycle of components.
Nevertheless,... | [
{
"created": "Mon, 30 May 2011 14:46:00 GMT",
"version": "v1"
},
{
"created": "Mon, 6 Jun 2011 11:49:30 GMT",
"version": "v2"
}
] | 2011-06-07 | [
[
"Bouhadiba",
"Tayeb",
"",
"INRIA Grenoble Rhône-Alpes / LIG Laboratoire\n d'Informatique de Grenoble"
],
[
"Sabah",
"Quentin",
"",
"INRIA Grenoble Rhône-Alpes /\n LIG Laboratoire d'Informatique de Grenoble"
],
[
"Delaval",
"Gwenaël",
"",
"INRIA\n Grenoble... | In the context of component-based embedded systems, the management of dynamic reconfiguration in adaptive systems is an increasingly important feature. The Fractal component-based framework, and its industrial instantiation MIND, provide for support for control operations in the lifecycle of components. Nevertheless, t... |
2105.15100 | Suman Kumar | Suman Kumar, Kazi Amanul Islam Siddiqui, Mukesh Kumary | Skin-Health Monitoring system using a Wireless Body Area Network | null | null | null | null | cs.NI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | A new class of sensing paradigm known as lab-onskin where stretchable and
flexible smart sensor devices are integrated into the skin, provides direct
monitoring and diagnostic interfaces to the body. Distributed lab-on-skin
wireless sensors have the ability to provide continuous long term assessment of
the skin healt... | [
{
"created": "Thu, 15 Apr 2021 20:32:54 GMT",
"version": "v1"
}
] | 2021-06-01 | [
[
"Kumar",
"Suman",
""
],
[
"Siddiqui",
"Kazi Amanul Islam",
""
],
[
"Kumary",
"Mukesh",
""
]
] | A new class of sensing paradigm known as lab-onskin where stretchable and flexible smart sensor devices are integrated into the skin, provides direct monitoring and diagnostic interfaces to the body. Distributed lab-on-skin wireless sensors have the ability to provide continuous long term assessment of the skin health.... |
2302.08135 | Youjia Zhang | Youjia Zhang, Pingzhong Tang | A Truthful Referral Auction Over Networks | null | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper studies a mechanism design problem over a network, where agents
can only participate by referrals. The Bulow-Klemberer theorem proposes that
expanding the number of participants is a more effective approach to increase
revenue than modifying the auction format. However, agents lack the motivation
to invite... | [
{
"created": "Thu, 16 Feb 2023 08:06:55 GMT",
"version": "v1"
},
{
"created": "Thu, 23 Feb 2023 11:51:42 GMT",
"version": "v2"
},
{
"created": "Thu, 16 Mar 2023 07:51:52 GMT",
"version": "v3"
}
] | 2023-03-17 | [
[
"Zhang",
"Youjia",
""
],
[
"Tang",
"Pingzhong",
""
]
] | This paper studies a mechanism design problem over a network, where agents can only participate by referrals. The Bulow-Klemberer theorem proposes that expanding the number of participants is a more effective approach to increase revenue than modifying the auction format. However, agents lack the motivation to invite o... |
2307.08364 | Lennart Purucker | Lennart Purucker, Lennart Schneider, Marie Anastacio, Joeran Beel,
Bernd Bischl, Holger Hoos | Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc
Ensemble Selection in AutoML | 10 pages main paper, 24 pages references and appendix, 4 figures, 16
subfigures, 13 tables, to be published in: International Conference on
Automated Machine Learning 2023; affiliations corrected. arXiv admin note:
text overlap with arXiv:2307.00286 | null | null | null | cs.LG cs.NE | http://creativecommons.org/licenses/by/4.0/ | Automated machine learning (AutoML) systems commonly ensemble models post hoc
to improve predictive performance, typically via greedy ensemble selection
(GES). However, we believe that GES may not always be optimal, as it performs a
simple deterministic greedy search. In this work, we introduce two novel
population-b... | [
{
"created": "Mon, 17 Jul 2023 10:02:01 GMT",
"version": "v1"
},
{
"created": "Wed, 2 Aug 2023 16:09:56 GMT",
"version": "v2"
}
] | 2023-08-03 | [
[
"Purucker",
"Lennart",
""
],
[
"Schneider",
"Lennart",
""
],
[
"Anastacio",
"Marie",
""
],
[
"Beel",
"Joeran",
""
],
[
"Bischl",
"Bernd",
""
],
[
"Hoos",
"Holger",
""
]
] | Automated machine learning (AutoML) systems commonly ensemble models post hoc to improve predictive performance, typically via greedy ensemble selection (GES). However, we believe that GES may not always be optimal, as it performs a simple deterministic greedy search. In this work, we introduce two novel population-bas... |
2111.13156 | Ammarah Farooq | Ammarah Farooq, Muhammad Awais, Sara Ahmed, Josef Kittler | Global Interaction Modelling in Vision Transformer via Super Tokens | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | With the popularity of Transformer architectures in computer vision, the
research focus has shifted towards developing computationally efficient
designs. Window-based local attention is one of the major techniques being
adopted in recent works. These methods begin with very small patch size and
small embedding dimens... | [
{
"created": "Thu, 25 Nov 2021 16:22:57 GMT",
"version": "v1"
}
] | 2021-11-29 | [
[
"Farooq",
"Ammarah",
""
],
[
"Awais",
"Muhammad",
""
],
[
"Ahmed",
"Sara",
""
],
[
"Kittler",
"Josef",
""
]
] | With the popularity of Transformer architectures in computer vision, the research focus has shifted towards developing computationally efficient designs. Window-based local attention is one of the major techniques being adopted in recent works. These methods begin with very small patch size and small embedding dimensio... |
2304.08176 | Saber Elsayed | Saber Elsayed | Towards Mitigating ChatGPT's Negative Impact on Education: Optimizing
Question Design through Bloom's Taxonomy | null | null | null | null | cs.CY cs.CL | http://creativecommons.org/licenses/by/4.0/ | The popularity of generative text AI tools in answering questions has led to
concerns regarding their potential negative impact on students' academic
performance and the challenges that educators face in evaluating student
learning. To address these concerns, this paper introduces an evolutionary
approach that aims t... | [
{
"created": "Fri, 31 Mar 2023 00:01:59 GMT",
"version": "v1"
}
] | 2023-04-18 | [
[
"Elsayed",
"Saber",
""
]
] | The popularity of generative text AI tools in answering questions has led to concerns regarding their potential negative impact on students' academic performance and the challenges that educators face in evaluating student learning. To address these concerns, this paper introduces an evolutionary approach that aims to ... |
2209.13815 | Yuntao Wang | Yuntao Wang, Zhou Su, Abderrahim Benslimane, Qichao Xu, Minghui Dai,
and Ruidong Li | A Learning-based Honeypot Game for Collaborative Defense in UAV Networks | Accepted by IEEE Globecom2022 | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The proliferation of unmanned aerial vehicles (UAVs) opens up new
opportunities for on-demand service provisioning anywhere and anytime, but it
also exposes UAVs to various cyber threats. Low/medium-interaction honeypot is
regarded as a promising lightweight defense to actively protect mobile Internet
of things, espe... | [
{
"created": "Wed, 28 Sep 2022 03:40:06 GMT",
"version": "v1"
}
] | 2022-09-29 | [
[
"Wang",
"Yuntao",
""
],
[
"Su",
"Zhou",
""
],
[
"Benslimane",
"Abderrahim",
""
],
[
"Xu",
"Qichao",
""
],
[
"Dai",
"Minghui",
""
],
[
"Li",
"Ruidong",
""
]
] | The proliferation of unmanned aerial vehicles (UAVs) opens up new opportunities for on-demand service provisioning anywhere and anytime, but it also exposes UAVs to various cyber threats. Low/medium-interaction honeypot is regarded as a promising lightweight defense to actively protect mobile Internet of things, especi... |
2202.03460 | Ji Gao | Ji Gao, Sanjam Garg, Mohammad Mahmoody, Prashant Nalini Vasudevan | Deletion Inference, Reconstruction, and Compliance in Machine
(Un)Learning | Full version of a paper appearing in the 22nd Privacy Enhancing
Technologies Symposium (PETS 2022) | null | null | null | cs.LG cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Privacy attacks on machine learning models aim to identify the data that is
used to train such models. Such attacks, traditionally, are studied on static
models that are trained once and are accessible by the adversary. Motivated to
meet new legal requirements, many machine learning methods are recently
extended to s... | [
{
"created": "Mon, 7 Feb 2022 19:02:58 GMT",
"version": "v1"
}
] | 2022-02-09 | [
[
"Gao",
"Ji",
""
],
[
"Garg",
"Sanjam",
""
],
[
"Mahmoody",
"Mohammad",
""
],
[
"Vasudevan",
"Prashant Nalini",
""
]
] | Privacy attacks on machine learning models aim to identify the data that is used to train such models. Such attacks, traditionally, are studied on static models that are trained once and are accessible by the adversary. Motivated to meet new legal requirements, many machine learning methods are recently extended to sup... |
1308.0686 | Arpan Chattopadhyay | Arpan Chattopadhyay, Marceau Coupechoux, and Anurag Kumar | As-You-Go Deployment of a Wireless Network with On-Line Measurements and
Backtracking | 16 pages; 6 figures; submitted | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We are motivated by the need, in some applications, for impromptu or
as-you-go deployment of wireless sensor networks. A person walks along a line,
making link quality measurements with the previous relay at equally spaced
locations, and deploys relays at some of these locations, so as to connect a
sensor placed on t... | [
{
"created": "Sat, 3 Aug 2013 11:37:14 GMT",
"version": "v1"
},
{
"created": "Thu, 22 Aug 2013 04:06:02 GMT",
"version": "v2"
}
] | 2013-08-23 | [
[
"Chattopadhyay",
"Arpan",
""
],
[
"Coupechoux",
"Marceau",
""
],
[
"Kumar",
"Anurag",
""
]
] | We are motivated by the need, in some applications, for impromptu or as-you-go deployment of wireless sensor networks. A person walks along a line, making link quality measurements with the previous relay at equally spaced locations, and deploys relays at some of these locations, so as to connect a sensor placed on the... |
2008.09706 | Pengjie Ren | Yangjun Zhang, Pengjie Ren, Maarten de Rijke | Detecting and Classifying Malevolent Dialogue Responses: Taxonomy, Data
and Methodology | under review at JASIST | null | null | null | cs.CL cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Conversational interfaces are increasingly popular as a way of connecting
people to information. Corpus-based conversational interfaces are able to
generate more diverse and natural responses than template-based or
retrieval-based agents. With their increased generative capacity of corpusbased
conversational agents c... | [
{
"created": "Fri, 21 Aug 2020 22:43:27 GMT",
"version": "v1"
}
] | 2020-08-25 | [
[
"Zhang",
"Yangjun",
""
],
[
"Ren",
"Pengjie",
""
],
[
"de Rijke",
"Maarten",
""
]
] | Conversational interfaces are increasingly popular as a way of connecting people to information. Corpus-based conversational interfaces are able to generate more diverse and natural responses than template-based or retrieval-based agents. With their increased generative capacity of corpusbased conversational agents com... |
2306.00488 | Ruizhong Qiu | Ruizhong Qiu, Dingsu Wang, Lei Ying, H. Vincent Poor, Yifang Zhang,
Hanghang Tong | Reconstructing Graph Diffusion History from a Single Snapshot | Full version of the KDD 2023 paper (including the appendix) | null | 10.1145/3580305.3599488 | null | cs.LG cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Diffusion on graphs is ubiquitous with numerous high-impact applications. In
these applications, complete diffusion histories play an essential role in
terms of identifying dynamical patterns, reflecting on precaution actions, and
forecasting intervention effects. Despite their importance, complete diffusion
historie... | [
{
"created": "Thu, 1 Jun 2023 09:39:32 GMT",
"version": "v1"
},
{
"created": "Sun, 4 Jun 2023 21:25:25 GMT",
"version": "v2"
},
{
"created": "Sat, 1 Jul 2023 06:46:07 GMT",
"version": "v3"
},
{
"created": "Fri, 31 May 2024 23:25:07 GMT",
"version": "v4"
}
] | 2024-06-04 | [
[
"Qiu",
"Ruizhong",
""
],
[
"Wang",
"Dingsu",
""
],
[
"Ying",
"Lei",
""
],
[
"Poor",
"H. Vincent",
""
],
[
"Zhang",
"Yifang",
""
],
[
"Tong",
"Hanghang",
""
]
] | Diffusion on graphs is ubiquitous with numerous high-impact applications. In these applications, complete diffusion histories play an essential role in terms of identifying dynamical patterns, reflecting on precaution actions, and forecasting intervention effects. Despite their importance, complete diffusion histories ... |
2309.02528 | Jayanth Yetukuri | Ian Hardy, Jayanth Yetukuri and Yang Liu | Adaptive Adversarial Training Does Not Increase Recourse Costs | null | In Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and
Society (AIES '23). Association for Computing Machinery, New York, NY, USA,
432 442 | 10.1145/3600211.3604704 | null | cs.LG cs.CR | http://creativecommons.org/licenses/by/4.0/ | Recent work has connected adversarial attack methods and algorithmic recourse
methods: both seek minimal changes to an input instance which alter a model's
classification decision. It has been shown that traditional adversarial
training, which seeks to minimize a classifier's susceptibility to malicious
perturbations... | [
{
"created": "Tue, 5 Sep 2023 18:40:22 GMT",
"version": "v1"
}
] | 2023-09-07 | [
[
"Hardy",
"Ian",
""
],
[
"Yetukuri",
"Jayanth",
""
],
[
"Liu",
"Yang",
""
]
] | Recent work has connected adversarial attack methods and algorithmic recourse methods: both seek minimal changes to an input instance which alter a model's classification decision. It has been shown that traditional adversarial training, which seeks to minimize a classifier's susceptibility to malicious perturbations, ... |
1806.11248 | Rory Mitchell | Rory Mitchell, Andrey Adinets, Thejaswi Rao, Eibe Frank | XGBoost: Scalable GPU Accelerated Learning | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We describe the multi-GPU gradient boosting algorithm implemented in the
XGBoost library (https://github.com/dmlc/xgboost). Our algorithm allows fast,
scalable training on multi-GPU systems with all of the features of the XGBoost
library. We employ data compression techniques to minimise the usage of scarce
GPU memor... | [
{
"created": "Fri, 29 Jun 2018 02:05:32 GMT",
"version": "v1"
}
] | 2018-07-02 | [
[
"Mitchell",
"Rory",
""
],
[
"Adinets",
"Andrey",
""
],
[
"Rao",
"Thejaswi",
""
],
[
"Frank",
"Eibe",
""
]
] | We describe the multi-GPU gradient boosting algorithm implemented in the XGBoost library (https://github.com/dmlc/xgboost). Our algorithm allows fast, scalable training on multi-GPU systems with all of the features of the XGBoost library. We employ data compression techniques to minimise the usage of scarce GPU memory ... |
2303.06987 | Georges Gagnere | Georges Gagner\'e (INREV, UP8, UPL), Andy Lavender, C\'edric Plessiet
(INREV, AIAC, UP8, UPL), Tim White | Challenges of movement quality using motion capture in theatre | null | MOCO '18: 5th International Conference on Movement and Computing,
Jun 2018, Genoa, Italy. pp.1-6 | 10.1145/3212721.3212883 | null | cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We describe1 two case studies of AvatarStaging theatrical mixed reality
framework combining avatars and performers acting in an artistic context. We
outline a qualitative approach toward the condition for stage presence for the
avatars. We describe the motion control solutions we experimented with from the
perspectiv... | [
{
"created": "Mon, 13 Mar 2023 10:37:20 GMT",
"version": "v1"
}
] | 2023-03-14 | [
[
"Gagneré",
"Georges",
"",
"INREV, UP8, UPL"
],
[
"Lavender",
"Andy",
"",
"INREV, AIAC, UP8, UPL"
],
[
"Plessiet",
"Cédric",
"",
"INREV, AIAC, UP8, UPL"
],
[
"White",
"Tim",
""
]
] | We describe1 two case studies of AvatarStaging theatrical mixed reality framework combining avatars and performers acting in an artistic context. We outline a qualitative approach toward the condition for stage presence for the avatars. We describe the motion control solutions we experimented with from the perspective ... |
2012.01468 | Yuqi Ouyang | Yuqi Ouyang, Victor Sanchez | Video Anomaly Detection by Estimating Likelihood of Representations | Accepted to ICPR 2020 | null | null | null | cs.CV cs.LG eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Video anomaly detection is a challenging task not only because it involves
solving many sub-tasks such as motion representation, object localization and
action recognition, but also because it is commonly considered as an
unsupervised learning problem that involves detecting outliers. Traditionally,
solutions to this... | [
{
"created": "Wed, 2 Dec 2020 19:16:22 GMT",
"version": "v1"
}
] | 2020-12-04 | [
[
"Ouyang",
"Yuqi",
""
],
[
"Sanchez",
"Victor",
""
]
] | Video anomaly detection is a challenging task not only because it involves solving many sub-tasks such as motion representation, object localization and action recognition, but also because it is commonly considered as an unsupervised learning problem that involves detecting outliers. Traditionally, solutions to this t... |
1812.10265 | Zheng Xin | Xin Zheng, Yanqing Guo, Huaibo Huang, Yi Li, Ran He | A Survey of Deep Facial Attribute Analysis | submitted to International Journal of Computer Vision (IJCV) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Facial attribute analysis has received considerable attention when deep
learning techniques made remarkable breakthroughs in this field over the past
few years. Deep learning based facial attribute analysis consists of two basic
sub-issues: facial attribute estimation (FAE), which recognizes whether facial
attributes... | [
{
"created": "Wed, 26 Dec 2018 09:24:07 GMT",
"version": "v1"
},
{
"created": "Thu, 7 Mar 2019 06:58:40 GMT",
"version": "v2"
},
{
"created": "Sun, 27 Oct 2019 03:13:51 GMT",
"version": "v3"
}
] | 2019-10-29 | [
[
"Zheng",
"Xin",
""
],
[
"Guo",
"Yanqing",
""
],
[
"Huang",
"Huaibo",
""
],
[
"Li",
"Yi",
""
],
[
"He",
"Ran",
""
]
] | Facial attribute analysis has received considerable attention when deep learning techniques made remarkable breakthroughs in this field over the past few years. Deep learning based facial attribute analysis consists of two basic sub-issues: facial attribute estimation (FAE), which recognizes whether facial attributes a... |
1812.09383 | Franziska Roesner | John Akers, Gagan Bansal, Gabriel Cadamuro, Christine Chen, Quanze
Chen, Lucy Lin, Phoebe Mulcaire, Rajalakshmi Nandakumar, Matthew Rockett,
Lucy Simko, John Toman, Tongshuang Wu, Eric Zeng, Bill Zorn, Franziska
Roesner | Technology-Enabled Disinformation: Summary, Lessons, and Recommendations | null | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Technology is increasingly used -- unintentionally (misinformation) or
intentionally (disinformation) -- to spread false information at scale, with
potentially broad-reaching societal effects. For example, technology enables
increasingly realistic false images and videos, and hyper-personal targeting
means different ... | [
{
"created": "Fri, 21 Dec 2018 21:46:34 GMT",
"version": "v1"
},
{
"created": "Thu, 3 Jan 2019 14:35:55 GMT",
"version": "v2"
}
] | 2019-01-04 | [
[
"Akers",
"John",
""
],
[
"Bansal",
"Gagan",
""
],
[
"Cadamuro",
"Gabriel",
""
],
[
"Chen",
"Christine",
""
],
[
"Chen",
"Quanze",
""
],
[
"Lin",
"Lucy",
""
],
[
"Mulcaire",
"Phoebe",
""
],
[
"Nandak... | Technology is increasingly used -- unintentionally (misinformation) or intentionally (disinformation) -- to spread false information at scale, with potentially broad-reaching societal effects. For example, technology enables increasingly realistic false images and videos, and hyper-personal targeting means different pe... |
1602.06058 | Sung-Il Pae | Sung-il Pae | Binarization Trees and Random Number Generation | 8 pages | null | null | null | cs.DS cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An m-extracting procedure produces unbiased random bits from a loaded dice
with m faces. A binarization takes inputs from an m-faced dice and produce bit
sequences to be fed into a (binary) extracting procedure to obtain random bits.
Thus, binary extracting procedures give rise to an m-extracting procedure via a
bina... | [
{
"created": "Fri, 19 Feb 2016 07:12:02 GMT",
"version": "v1"
},
{
"created": "Fri, 11 May 2018 21:58:45 GMT",
"version": "v2"
}
] | 2018-05-15 | [
[
"Pae",
"Sung-il",
""
]
] | An m-extracting procedure produces unbiased random bits from a loaded dice with m faces. A binarization takes inputs from an m-faced dice and produce bit sequences to be fed into a (binary) extracting procedure to obtain random bits. Thus, binary extracting procedures give rise to an m-extracting procedure via a binari... |
2405.15994 | Junlin Wu | Junlin Wu, Huan Zhang, Yevgeniy Vorobeychik | Verified Safe Reinforcement Learning for Neural Network Dynamic Models | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Learning reliably safe autonomous control is one of the core problems in
trustworthy autonomy. However, training a controller that can be formally
verified to be safe remains a major challenge. We introduce a novel approach
for learning verified safe control policies in nonlinear neural dynamical
systems while maximi... | [
{
"created": "Sat, 25 May 2024 00:35:39 GMT",
"version": "v1"
}
] | 2024-05-28 | [
[
"Wu",
"Junlin",
""
],
[
"Zhang",
"Huan",
""
],
[
"Vorobeychik",
"Yevgeniy",
""
]
] | Learning reliably safe autonomous control is one of the core problems in trustworthy autonomy. However, training a controller that can be formally verified to be safe remains a major challenge. We introduce a novel approach for learning verified safe control policies in nonlinear neural dynamical systems while maximizi... |
2205.04816 | Jiaqiang Zhang | Jiaqiang Zhang, Senzhang Wang, Songcan Chen | Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly
Detection on Attributed Networks | Accepted at IJCAI-ECAI 2022 | IJCAI2022 | 10.24963/ijcai.2022/330 | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Detecting abnormal nodes from attributed networks is of great importance in
many real applications, such as financial fraud detection and cyber security.
This task is challenging due to both the complex interactions between the
anomalous nodes with other counterparts and their inconsistency in terms of
attributes. Th... | [
{
"created": "Tue, 10 May 2022 11:35:32 GMT",
"version": "v1"
}
] | 2023-10-02 | [
[
"Zhang",
"Jiaqiang",
""
],
[
"Wang",
"Senzhang",
""
],
[
"Chen",
"Songcan",
""
]
] | Detecting abnormal nodes from attributed networks is of great importance in many real applications, such as financial fraud detection and cyber security. This task is challenging due to both the complex interactions between the anomalous nodes with other counterparts and their inconsistency in terms of attributes. This... |
2112.14680 | Sebastian Drost | Sebastian Drost, Arne Vogt, Christian Danowski-Buhren, Simon Jirka,
Verena Kirstein, Kian Pakzad, and Matthes Rieke | WaCoDiS: Automated Earth Observation Data Processing within an
Event-Driven Architecture for Water Monitoring | null | null | 10.1016/j.cageo.2021.105003 | null | cs.DC cs.SE | http://creativecommons.org/licenses/by/4.0/ | To ensure an efficient and environmentally friendly water resource
management, water management associations need means for efficient water
monitoring as well as novel strategies to reduce the pollution of surface and
ground water. Traditionally, water management associations operate large sensor
networks to suffice ... | [
{
"created": "Thu, 23 Dec 2021 15:37:10 GMT",
"version": "v1"
}
] | 2021-12-30 | [
[
"Drost",
"Sebastian",
""
],
[
"Vogt",
"Arne",
""
],
[
"Danowski-Buhren",
"Christian",
""
],
[
"Jirka",
"Simon",
""
],
[
"Kirstein",
"Verena",
""
],
[
"Pakzad",
"Kian",
""
],
[
"Rieke",
"Matthes",
""
]
] | To ensure an efficient and environmentally friendly water resource management, water management associations need means for efficient water monitoring as well as novel strategies to reduce the pollution of surface and ground water. Traditionally, water management associations operate large sensor networks to suffice th... |
1403.3376 | Xiang Gao | Xiang Gao, Ove Edfors, Fredrik Rusek, Fredrik Tufvesson | Massive MIMO performance evaluation based on measured propagation data | IEEE Transactions on Wireless Communications, 2015 | null | 10.1109/TWC.2015.2414413 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Massive MIMO, also known as very-large MIMO or large-scale antenna systems,
is a new technique that potentially can offer large network capacities in
multi-user scenarios. With a massive MIMO system, we consider the case where a
base station equipped with a large number of antenna elements simultaneously
serves multi... | [
{
"created": "Thu, 13 Mar 2014 19:22:17 GMT",
"version": "v1"
},
{
"created": "Mon, 16 Mar 2015 15:17:54 GMT",
"version": "v2"
},
{
"created": "Wed, 8 Apr 2015 20:17:35 GMT",
"version": "v3"
}
] | 2016-11-17 | [
[
"Gao",
"Xiang",
""
],
[
"Edfors",
"Ove",
""
],
[
"Rusek",
"Fredrik",
""
],
[
"Tufvesson",
"Fredrik",
""
]
] | Massive MIMO, also known as very-large MIMO or large-scale antenna systems, is a new technique that potentially can offer large network capacities in multi-user scenarios. With a massive MIMO system, we consider the case where a base station equipped with a large number of antenna elements simultaneously serves multipl... |
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