id stringlengths 9 10 | submitter stringlengths 1 64 ⌀ | authors stringlengths 4 20.7k | title stringlengths 4 246 | comments stringlengths 1 523 ⌀ | journal-ref stringlengths 4 404 ⌀ | doi stringlengths 11 153 ⌀ | report-no stringlengths 2 254 ⌀ | categories stringlengths 5 98 | license stringclasses 9
values | orig_abstract stringlengths 14 3.35k | versions listlengths 1 60 | update_date stringlengths 10 10 | authors_parsed listlengths 1 1.35k | abstract stringlengths 11 3.34k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2210.08885 | Kevin R\"osch | Kevin R\"osch, Florian Heidecker, Julian Truetsch, Kamil Kowol,
Clemens Schicktanz, Maarten Bieshaar, Bernhard Sick, Christoph Stiller | Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory
Datasets for Automated Driving | null | null | null | null | cs.RO cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Trajectory data analysis is an essential component for highly automated
driving. Complex models developed with these data predict other road users'
movement and behavior patterns. Based on these predictions - and additional
contextual information such as the course of the road, (traffic) rules, and
interaction with o... | [
{
"created": "Mon, 17 Oct 2022 09:27:45 GMT",
"version": "v1"
}
] | 2022-10-18 | [
[
"Rösch",
"Kevin",
""
],
[
"Heidecker",
"Florian",
""
],
[
"Truetsch",
"Julian",
""
],
[
"Kowol",
"Kamil",
""
],
[
"Schicktanz",
"Clemens",
""
],
[
"Bieshaar",
"Maarten",
""
],
[
"Sick",
"Bernhard",
""
],
... | Trajectory data analysis is an essential component for highly automated driving. Complex models developed with these data predict other road users' movement and behavior patterns. Based on these predictions - and additional contextual information such as the course of the road, (traffic) rules, and interaction with oth... |
1904.07944 | Chris Donahue | Paarth Neekhara, Chris Donahue, Miller Puckette, Shlomo Dubnov, Julian
McAuley | Expediting TTS Synthesis with Adversarial Vocoding | Published as a conference paper at INTERSPEECH 2019 | null | null | null | cs.SD cs.LG eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent approaches in text-to-speech (TTS) synthesis employ neural network
strategies to vocode perceptually-informed spectrogram representations directly
into listenable waveforms. Such vocoding procedures create a computational
bottleneck in modern TTS pipelines. We propose an alternative approach which
utilizes gen... | [
{
"created": "Tue, 16 Apr 2019 19:42:43 GMT",
"version": "v1"
},
{
"created": "Fri, 26 Jul 2019 03:36:52 GMT",
"version": "v2"
}
] | 2019-07-29 | [
[
"Neekhara",
"Paarth",
""
],
[
"Donahue",
"Chris",
""
],
[
"Puckette",
"Miller",
""
],
[
"Dubnov",
"Shlomo",
""
],
[
"McAuley",
"Julian",
""
]
] | Recent approaches in text-to-speech (TTS) synthesis employ neural network strategies to vocode perceptually-informed spectrogram representations directly into listenable waveforms. Such vocoding procedures create a computational bottleneck in modern TTS pipelines. We propose an alternative approach which utilizes gener... |
2307.00379 | Sokratis Anagnostopoulos | Sokratis J. Anagnostopoulos, Juan Diego Toscano, Nikolaos
Stergiopulos, George Em Karniadakis | Residual-based attention and connection to information bottleneck theory
in PINNs | null | null | null | null | cs.LG physics.comp-ph | http://creativecommons.org/licenses/by/4.0/ | Driven by the need for more efficient and seamless integration of physical
models and data, physics-informed neural networks (PINNs) have seen a surge of
interest in recent years. However, ensuring the reliability of their
convergence and accuracy remains a challenge. In this work, we propose an
efficient, gradient-l... | [
{
"created": "Sat, 1 Jul 2023 16:29:55 GMT",
"version": "v1"
}
] | 2023-07-04 | [
[
"Anagnostopoulos",
"Sokratis J.",
""
],
[
"Toscano",
"Juan Diego",
""
],
[
"Stergiopulos",
"Nikolaos",
""
],
[
"Karniadakis",
"George Em",
""
]
] | Driven by the need for more efficient and seamless integration of physical models and data, physics-informed neural networks (PINNs) have seen a surge of interest in recent years. However, ensuring the reliability of their convergence and accuracy remains a challenge. In this work, we propose an efficient, gradient-les... |
1811.00538 | Medhini Narasimhan | Medhini Narasimhan, Svetlana Lazebnik, Alexander G. Schwing | Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual
Question Answering | Accepted to NIPS 2018 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Accurately answering a question about a given image requires combining
observations with general knowledge. While this is effortless for humans,
reasoning with general knowledge remains an algorithmic challenge. To advance
research in this direction a novel `fact-based' visual question answering
(FVQA) task has been ... | [
{
"created": "Thu, 1 Nov 2018 17:59:56 GMT",
"version": "v1"
}
] | 2018-11-02 | [
[
"Narasimhan",
"Medhini",
""
],
[
"Lazebnik",
"Svetlana",
""
],
[
"Schwing",
"Alexander G.",
""
]
] | Accurately answering a question about a given image requires combining observations with general knowledge. While this is effortless for humans, reasoning with general knowledge remains an algorithmic challenge. To advance research in this direction a novel `fact-based' visual question answering (FVQA) task has been in... |
1806.06878 | Shawn Jones | Shawn M. Jones, Alexander Nwala, Michele C. Weigle, Michael L. Nelson | The Many Shapes of Archive-It | 10 pages, 12 figures, to appear in the proceedings of the 15th
International Conference on Digital Preservation (iPres 2018) | null | 10.17605/OSF.IO/EV42P | null | cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Web archives, a key area of digital preservation, meet the needs of
journalists, social scientists, historians, and government organizations. The
use cases for these groups often require that they guide the archiving process
themselves, selecting their own original resources, or seeds, and creating
their own web arch... | [
{
"created": "Mon, 18 Jun 2018 18:27:20 GMT",
"version": "v1"
}
] | 2021-01-26 | [
[
"Jones",
"Shawn M.",
""
],
[
"Nwala",
"Alexander",
""
],
[
"Weigle",
"Michele C.",
""
],
[
"Nelson",
"Michael L.",
""
]
] | Web archives, a key area of digital preservation, meet the needs of journalists, social scientists, historians, and government organizations. The use cases for these groups often require that they guide the archiving process themselves, selecting their own original resources, or seeds, and creating their own web archiv... |
2204.03262 | TaeYoung Kang | TaeYoung Kang, Eunrang Kwon, Junbum Lee, Youngeun Nam, Junmo Song,
JeongKyu Suh | Korean Online Hate Speech Dataset for Multilabel Classification: How Can
Social Science Improve Dataset on Hate Speech? | 12 pages, 3 tables | null | null | null | cs.CL cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We suggest a multilabel Korean online hate speech dataset that covers seven
categories of hate speech: (1) Race and Nationality, (2) Religion, (3)
Regionalism, (4) Ageism, (5) Misogyny, (6) Sexual Minorities, and (7) Male. Our
35K dataset consists of 24K online comments with Krippendorff's Alpha label
accordance of .... | [
{
"created": "Thu, 7 Apr 2022 07:29:06 GMT",
"version": "v1"
},
{
"created": "Fri, 8 Apr 2022 04:04:27 GMT",
"version": "v2"
}
] | 2022-04-11 | [
[
"Kang",
"TaeYoung",
""
],
[
"Kwon",
"Eunrang",
""
],
[
"Lee",
"Junbum",
""
],
[
"Nam",
"Youngeun",
""
],
[
"Song",
"Junmo",
""
],
[
"Suh",
"JeongKyu",
""
]
] | We suggest a multilabel Korean online hate speech dataset that covers seven categories of hate speech: (1) Race and Nationality, (2) Religion, (3) Regionalism, (4) Ageism, (5) Misogyny, (6) Sexual Minorities, and (7) Male. Our 35K dataset consists of 24K online comments with Krippendorff's Alpha label accordance of .71... |
1405.2092 | Osvaldo Simeone | O. Simeone, E. Erkip and S. Shamai (Shitz) | Full-Duplex Cloud Radio Access Networks: An Information-Theoretic
Viewpoint | To appear in IEEE Wireless Communications Letters | null | 10.1109/LWC.2014.2323073 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The conventional design of cellular systems prescribes the separation of
uplink and downlink transmissions via time-division or frequency-division
duplex. Recent advances in analog and digital domain self-interference
interference cancellation challenge the need for this arrangement and open up
the possibility to ope... | [
{
"created": "Thu, 8 May 2014 20:31:42 GMT",
"version": "v1"
}
] | 2016-11-15 | [
[
"Simeone",
"O.",
"",
"Shitz"
],
[
"Erkip",
"E.",
"",
"Shitz"
],
[
"Shamai",
"S.",
"",
"Shitz"
]
] | The conventional design of cellular systems prescribes the separation of uplink and downlink transmissions via time-division or frequency-division duplex. Recent advances in analog and digital domain self-interference interference cancellation challenge the need for this arrangement and open up the possibility to opera... |
1602.02991 | Saeed Akhoondian Amiri | Saeed Akhoondian Amiri, Stefan Schmid, Sebastian Siebertz | A local constant factor approximation for the minimum dominating set
problem on bounded genus graphs | null | null | null | null | cs.DC cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Minimum Dominating Set (MDS) problem is not only one of the most
fundamental problems in distributed computing, it is also one of the most
challenging ones. While it is well-known that minimum dominating sets cannot be
approximated locally on general graphs, over the last years, several
breakthroughs have been ma... | [
{
"created": "Tue, 9 Feb 2016 14:17:55 GMT",
"version": "v1"
},
{
"created": "Fri, 12 Feb 2016 09:11:16 GMT",
"version": "v2"
}
] | 2016-02-15 | [
[
"Amiri",
"Saeed Akhoondian",
""
],
[
"Schmid",
"Stefan",
""
],
[
"Siebertz",
"Sebastian",
""
]
] | The Minimum Dominating Set (MDS) problem is not only one of the most fundamental problems in distributed computing, it is also one of the most challenging ones. While it is well-known that minimum dominating sets cannot be approximated locally on general graphs, over the last years, several breakthroughs have been made... |
1401.6523 | Haris Aziz | Haris Aziz and Serge Gaspers and Nick Mattei and Nina Narodytska and
Toby Walsh | Strategic aspects of the probabilistic serial rule for the allocation of
goods | 28 pages | null | null | null | cs.GT cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The probabilistic serial (PS) rule is one of the most prominent randomized
rules for the assignment problem. It is well-known for its superior fairness
and welfare properties. However, PS is not immune to manipulative behaviour by
the agents. We examine computational and non-computational aspects of
strategising unde... | [
{
"created": "Sat, 25 Jan 2014 12:11:09 GMT",
"version": "v1"
}
] | 2014-01-28 | [
[
"Aziz",
"Haris",
""
],
[
"Gaspers",
"Serge",
""
],
[
"Mattei",
"Nick",
""
],
[
"Narodytska",
"Nina",
""
],
[
"Walsh",
"Toby",
""
]
] | The probabilistic serial (PS) rule is one of the most prominent randomized rules for the assignment problem. It is well-known for its superior fairness and welfare properties. However, PS is not immune to manipulative behaviour by the agents. We examine computational and non-computational aspects of strategising under ... |
2307.13541 | Chuanchuan Wang | Chuanchuan Wang, Ahmad Sufril Azlan Mohamed | Group Activity Recognition in Computer Vision: A Comprehensive Review,
Challenges, and Future Perspectives | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Group activity recognition is a hot topic in computer vision. Recognizing
activities through group relationships plays a vital role in group activity
recognition. It holds practical implications in various scenarios, such as
video analysis, surveillance, automatic driving, and understanding social
activities. The mod... | [
{
"created": "Tue, 25 Jul 2023 14:44:41 GMT",
"version": "v1"
}
] | 2023-07-26 | [
[
"Wang",
"Chuanchuan",
""
],
[
"Mohamed",
"Ahmad Sufril Azlan",
""
]
] | Group activity recognition is a hot topic in computer vision. Recognizing activities through group relationships plays a vital role in group activity recognition. It holds practical implications in various scenarios, such as video analysis, surveillance, automatic driving, and understanding social activities. The model... |
1510.04188 | Dmytro Terletskyi | Dmytro Terletskyi | Universal and Determined Constructors of Multisets of Objects | arXiv admin note: text overlap with arXiv:1510.04183 | Information Theories and Applications, Vol. 21, Number 4, 2014,
pp. 339-361 | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper contains analysis of creation of sets and multisets as an approach
for modeling of some aspects of human thinking. The creation of sets is
considered within constructive object-oriented version of set theory (COOST),
from different sides, in particular classical set theory, object-oriented
programming (OOP... | [
{
"created": "Wed, 14 Oct 2015 16:27:26 GMT",
"version": "v1"
}
] | 2015-10-15 | [
[
"Terletskyi",
"Dmytro",
""
]
] | This paper contains analysis of creation of sets and multisets as an approach for modeling of some aspects of human thinking. The creation of sets is considered within constructive object-oriented version of set theory (COOST), from different sides, in particular classical set theory, object-oriented programming (OOP) ... |
2007.08689 | Naoki Ide | Naoki Ide, Tetsuya Asayama, Hiroshi Ueno and Masayuki Ohzeki | Maximum-Likelihood Channel Decoding with Quantum Annealing Machine | accepted at ISITA 2020 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We formulate maximum likelihood (ML) channel decoding as a quadratic
unconstraint binary optimization (QUBO) and simulate the decoding by the
current commercial quantum annealing machine, D-Wave 2000Q. We prepared two
implementations with Ising model formulations, generated from the generator
matrix and the parity-ch... | [
{
"created": "Thu, 16 Jul 2020 23:33:33 GMT",
"version": "v1"
},
{
"created": "Mon, 5 Oct 2020 13:51:42 GMT",
"version": "v2"
}
] | 2020-10-06 | [
[
"Ide",
"Naoki",
""
],
[
"Asayama",
"Tetsuya",
""
],
[
"Ueno",
"Hiroshi",
""
],
[
"Ohzeki",
"Masayuki",
""
]
] | We formulate maximum likelihood (ML) channel decoding as a quadratic unconstraint binary optimization (QUBO) and simulate the decoding by the current commercial quantum annealing machine, D-Wave 2000Q. We prepared two implementations with Ising model formulations, generated from the generator matrix and the parity-chec... |
2109.04260 | Xiao-Ming Wu | Xiao-Ming Wu, Xin Luo, Yu-Wei Zhan, Chen-Lu Ding, Zhen-Duo Chen,
Xin-Shun Xu | Online Enhanced Semantic Hashing: Towards Effective and Efficient
Retrieval for Streaming Multi-Modal Data | 9 pages, 5 figures | null | null | null | cs.MM cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the vigorous development of multimedia equipment and applications,
efficient retrieval of large-scale multi-modal data has become a trendy
research topic. Thereinto, hashing has become a prevalent choice due to its
retrieval efficiency and low storage cost. Although multi-modal hashing has
drawn lots of attentio... | [
{
"created": "Thu, 9 Sep 2021 13:30:31 GMT",
"version": "v1"
},
{
"created": "Thu, 24 Mar 2022 13:55:32 GMT",
"version": "v2"
}
] | 2022-03-25 | [
[
"Wu",
"Xiao-Ming",
""
],
[
"Luo",
"Xin",
""
],
[
"Zhan",
"Yu-Wei",
""
],
[
"Ding",
"Chen-Lu",
""
],
[
"Chen",
"Zhen-Duo",
""
],
[
"Xu",
"Xin-Shun",
""
]
] | With the vigorous development of multimedia equipment and applications, efficient retrieval of large-scale multi-modal data has become a trendy research topic. Thereinto, hashing has become a prevalent choice due to its retrieval efficiency and low storage cost. Although multi-modal hashing has drawn lots of attention ... |
2101.10605 | Soramichi Akiyama | Soramichi Akiyama, Ryota Shioya | The Granularity Gap Problem: A Hurdle for Applying Approximate Memory to
Complex Data Layout | Extended version of a conference paper published in the 12th ACM/SPEC
International Conference on Performance Engineering (ICPE'21) | null | null | null | cs.ET cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The main memory access latency has not much improved for more than two
decades while the CPU performance had been exponentially increasing until
recently. Approximate memory is a technique to reduce the DRAM access latency
in return of losing data integrity. It is beneficial for applications that are
robust to noisy ... | [
{
"created": "Tue, 26 Jan 2021 07:34:24 GMT",
"version": "v1"
}
] | 2021-01-27 | [
[
"Akiyama",
"Soramichi",
""
],
[
"Shioya",
"Ryota",
""
]
] | The main memory access latency has not much improved for more than two decades while the CPU performance had been exponentially increasing until recently. Approximate memory is a technique to reduce the DRAM access latency in return of losing data integrity. It is beneficial for applications that are robust to noisy in... |
2105.03781 | Yingjun Du | Yingjun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling
Shao, Cees G. M. Snoek | MetaKernel: Learning Variational Random Features with Limited Labels | 19 pages,7 figures. arXiv admin note: substantial text overlap with
arXiv:2006.06707 | null | null | null | cs.LG cs.CV | http://creativecommons.org/licenses/by/4.0/ | Few-shot learning deals with the fundamental and challenging problem of
learning from a few annotated samples, while being able to generalize well on
new tasks. The crux of few-shot learning is to extract prior knowledge from
related tasks to enable fast adaptation to a new task with a limited amount of
data. In this... | [
{
"created": "Sat, 8 May 2021 21:24:09 GMT",
"version": "v1"
}
] | 2021-05-11 | [
[
"Du",
"Yingjun",
""
],
[
"Sun",
"Haoliang",
""
],
[
"Zhen",
"Xiantong",
""
],
[
"Xu",
"Jun",
""
],
[
"Yin",
"Yilong",
""
],
[
"Shao",
"Ling",
""
],
[
"Snoek",
"Cees G. M.",
""
]
] | Few-shot learning deals with the fundamental and challenging problem of learning from a few annotated samples, while being able to generalize well on new tasks. The crux of few-shot learning is to extract prior knowledge from related tasks to enable fast adaptation to a new task with a limited amount of data. In this p... |
2108.00602 | Yang Zhang | Yang Zhang, Xin Yu, Xiaobo Lu, Ping Liu | Pro-UIGAN: Progressive Face Hallucination from Occluded Thumbnails | null | null | 10.1109/TIP.2022.3167280 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we study the task of hallucinating an authentic
high-resolution (HR) face from an occluded thumbnail. We propose a multi-stage
Progressive Upsampling and Inpainting Generative Adversarial Network, dubbed
Pro-UIGAN, which exploits facial geometry priors to replenish and upsample (8*)
the occluded and ti... | [
{
"created": "Mon, 2 Aug 2021 02:29:24 GMT",
"version": "v1"
},
{
"created": "Wed, 4 Aug 2021 12:53:00 GMT",
"version": "v2"
},
{
"created": "Thu, 5 Aug 2021 00:55:43 GMT",
"version": "v3"
},
{
"created": "Sun, 8 Aug 2021 08:34:07 GMT",
"version": "v4"
},
{
"creat... | 2022-05-11 | [
[
"Zhang",
"Yang",
""
],
[
"Yu",
"Xin",
""
],
[
"Lu",
"Xiaobo",
""
],
[
"Liu",
"Ping",
""
]
] | In this paper, we study the task of hallucinating an authentic high-resolution (HR) face from an occluded thumbnail. We propose a multi-stage Progressive Upsampling and Inpainting Generative Adversarial Network, dubbed Pro-UIGAN, which exploits facial geometry priors to replenish and upsample (8*) the occluded and tiny... |
2104.00452 | Jo\v{z}e Ro\v{z}anec | Jo\v{z}e M. Ro\v{z}anec and Dunja Mladeni\'c | Semantic XAI for contextualized demand forecasting explanations | null | null | null | null | cs.AI cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The paper proposes a novel architecture for explainable AI based on semantic
technologies and AI. We tailor the architecture for the domain of demand
forecasting and validate it on a real-world case study. The provided
explanations combine concepts describing features relevant to a particular
forecast, related media ... | [
{
"created": "Thu, 1 Apr 2021 13:08:53 GMT",
"version": "v1"
}
] | 2021-04-02 | [
[
"Rožanec",
"Jože M.",
""
],
[
"Mladenić",
"Dunja",
""
]
] | The paper proposes a novel architecture for explainable AI based on semantic technologies and AI. We tailor the architecture for the domain of demand forecasting and validate it on a real-world case study. The provided explanations combine concepts describing features relevant to a particular forecast, related media ev... |
2202.09950 | Tao Wang | Tao Wang, Jiangyan Yi, Ruibo Fu, Jianhua Tao, Zhengqi Wen | CampNet: Context-Aware Mask Prediction for End-to-End Text-Based Speech
Editing | under review, 14 pages, 14 figures, demo page is available at
https://hairuo55.github.io/CampNet | null | null | null | cs.SD cs.CL eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The text-based speech editor allows the editing of speech through intuitive
cutting, copying, and pasting operations to speed up the process of editing
speech. However, the major drawback of current systems is that edited speech
often sounds unnatural due to cut-copy-paste operation. In addition, it is not
obvious ho... | [
{
"created": "Mon, 21 Feb 2022 02:05:14 GMT",
"version": "v1"
},
{
"created": "Tue, 22 Mar 2022 12:45:11 GMT",
"version": "v2"
}
] | 2022-03-23 | [
[
"Wang",
"Tao",
""
],
[
"Yi",
"Jiangyan",
""
],
[
"Fu",
"Ruibo",
""
],
[
"Tao",
"Jianhua",
""
],
[
"Wen",
"Zhengqi",
""
]
] | The text-based speech editor allows the editing of speech through intuitive cutting, copying, and pasting operations to speed up the process of editing speech. However, the major drawback of current systems is that edited speech often sounds unnatural due to cut-copy-paste operation. In addition, it is not obvious how ... |
2204.07653 | Susu Xu | Susu Xu, Joshua Dimasaka, David J. Wald, Hae Young Noh | Bayesian Updating of Seismic Ground Failure Estimates via Causal
Graphical Models and Satellite Imagery | The 17th World Conference on Earthquake Engineering, Sendai, Japan,
Sep. 2021 | null | null | null | cs.CE | http://creativecommons.org/licenses/by/4.0/ | Earthquake-induced secondary ground failure hazards, such as liquefaction and
landslides, result in catastrophic building and infrastructure damage as well
as human fatalities. To facilitate emergency responses and mitigate losses, the
U.S. Geological Survey provides a rapid hazard estimation system for
earthquake-tr... | [
{
"created": "Fri, 15 Apr 2022 21:42:41 GMT",
"version": "v1"
}
] | 2022-04-19 | [
[
"Xu",
"Susu",
""
],
[
"Dimasaka",
"Joshua",
""
],
[
"Wald",
"David J.",
""
],
[
"Noh",
"Hae Young",
""
]
] | Earthquake-induced secondary ground failure hazards, such as liquefaction and landslides, result in catastrophic building and infrastructure damage as well as human fatalities. To facilitate emergency responses and mitigate losses, the U.S. Geological Survey provides a rapid hazard estimation system for earthquake-trig... |
2305.02217 | Zhi-Hua Zhou | Zhi-Hua Zhou | Learnability with Time-Sharing Computational Resource Concerns | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Conventional theoretical machine learning studies generally assume explicitly
or implicitly that there are enough or even infinitely supplied computational
resources. In real practice, however, computational resources are usually
limited, and the performance of machine learning depends not only on how many
data have ... | [
{
"created": "Wed, 3 May 2023 15:54:23 GMT",
"version": "v1"
},
{
"created": "Mon, 19 Jun 2023 13:20:27 GMT",
"version": "v2"
},
{
"created": "Sun, 3 Dec 2023 09:00:24 GMT",
"version": "v3"
},
{
"created": "Mon, 20 May 2024 05:43:40 GMT",
"version": "v4"
}
] | 2024-05-21 | [
[
"Zhou",
"Zhi-Hua",
""
]
] | Conventional theoretical machine learning studies generally assume explicitly or implicitly that there are enough or even infinitely supplied computational resources. In real practice, however, computational resources are usually limited, and the performance of machine learning depends not only on how many data have be... |
2305.09585 | Wieke Prummel | Wieke Prummel, Jhony H. Giraldo, Anastasia Zakharova, Thierry Bouwmans | Inductive Graph Neural Networks for Moving Object Segmentation | Submitted to ICIP 2023 | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | Moving Object Segmentation (MOS) is a challenging problem in computer vision,
particularly in scenarios with dynamic backgrounds, abrupt lighting changes,
shadows, camouflage, and moving cameras. While graph-based methods have shown
promising results in MOS, they have mainly relied on transductive learning
which assu... | [
{
"created": "Tue, 16 May 2023 16:32:08 GMT",
"version": "v1"
}
] | 2023-05-17 | [
[
"Prummel",
"Wieke",
""
],
[
"Giraldo",
"Jhony H.",
""
],
[
"Zakharova",
"Anastasia",
""
],
[
"Bouwmans",
"Thierry",
""
]
] | Moving Object Segmentation (MOS) is a challenging problem in computer vision, particularly in scenarios with dynamic backgrounds, abrupt lighting changes, shadows, camouflage, and moving cameras. While graph-based methods have shown promising results in MOS, they have mainly relied on transductive learning which assume... |
2103.15066 | Fang Wu | Fang Wu, Stan Z. Li | InsertGNN: Can Graph Neural Networks Outperform Humans in TOEFL Sentence
Insertion Problem? | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Sentence insertion is an interesting NLP problem but received insufficient
attention. Existing approaches in sentence ordering, text coherence, and
question answering are neither suitable nor good enough at solving it. To
bridge this gap, we propose InsertGNN, a simple yet effective model that
represents the problem ... | [
{
"created": "Sun, 28 Mar 2021 06:50:31 GMT",
"version": "v1"
},
{
"created": "Sat, 7 Jan 2023 05:24:34 GMT",
"version": "v2"
}
] | 2023-01-10 | [
[
"Wu",
"Fang",
""
],
[
"Li",
"Stan Z.",
""
]
] | Sentence insertion is an interesting NLP problem but received insufficient attention. Existing approaches in sentence ordering, text coherence, and question answering are neither suitable nor good enough at solving it. To bridge this gap, we propose InsertGNN, a simple yet effective model that represents the problem as... |
1902.05183 | Ngoc Duy Nguyen | Ngoc Duy Nguyen, Thanh Nguyen, Saeid Nahavandi, Asim Bhatti, Glenn
Guest | Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous
Robotic Surgery | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In robotic surgery, pattern cutting through a deformable material is a
challenging research field. The cutting procedure requires a robot to
concurrently manipulate a scissor and a gripper to cut through a predefined
contour trajectory on the deformable sheet. The gripper ensures the cutting
accuracy by nailing a poi... | [
{
"created": "Thu, 14 Feb 2019 01:49:32 GMT",
"version": "v1"
}
] | 2019-02-15 | [
[
"Nguyen",
"Ngoc Duy",
""
],
[
"Nguyen",
"Thanh",
""
],
[
"Nahavandi",
"Saeid",
""
],
[
"Bhatti",
"Asim",
""
],
[
"Guest",
"Glenn",
""
]
] | In robotic surgery, pattern cutting through a deformable material is a challenging research field. The cutting procedure requires a robot to concurrently manipulate a scissor and a gripper to cut through a predefined contour trajectory on the deformable sheet. The gripper ensures the cutting accuracy by nailing a point... |
2110.15766 | Connor Holmes | Connor Holmes, Minjia Zhang, Yuxiong He, and Bo Wu | NxMTransformer: Semi-Structured Sparsification for Natural Language
Understanding via ADMM | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Natural Language Processing (NLP) has recently achieved success by using huge
pre-trained Transformer networks. However, these models often contain hundreds
of millions or even billions of parameters, bringing challenges to online
deployment due to latency constraints. Recently, hardware manufacturers have
introduced... | [
{
"created": "Thu, 28 Oct 2021 17:43:06 GMT",
"version": "v1"
}
] | 2021-11-01 | [
[
"Holmes",
"Connor",
""
],
[
"Zhang",
"Minjia",
""
],
[
"He",
"Yuxiong",
""
],
[
"Wu",
"Bo",
""
]
] | Natural Language Processing (NLP) has recently achieved success by using huge pre-trained Transformer networks. However, these models often contain hundreds of millions or even billions of parameters, bringing challenges to online deployment due to latency constraints. Recently, hardware manufacturers have introduced d... |
1803.09225 | Ali Nasir | A. A. Nasir, H. D. Tuan, T. Q. Duong, and M. Debbah | NOMA for throughput and EE maximization in Energy Harvesting Enabled
Networks | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Wireless power transfer via radio-frequency (RF) radiation is regarded as a
potential solution to energize energy-constrained users, who are deployed close
to the base stations (near-by users). However, energy transfer requires much
more transmit power than normal information transfer, which makes it very
challenging... | [
{
"created": "Sun, 25 Mar 2018 09:59:10 GMT",
"version": "v1"
},
{
"created": "Sat, 23 Jun 2018 06:40:58 GMT",
"version": "v2"
}
] | 2018-06-26 | [
[
"Nasir",
"A. A.",
""
],
[
"Tuan",
"H. D.",
""
],
[
"Duong",
"T. Q.",
""
],
[
"Debbah",
"M.",
""
]
] | Wireless power transfer via radio-frequency (RF) radiation is regarded as a potential solution to energize energy-constrained users, who are deployed close to the base stations (near-by users). However, energy transfer requires much more transmit power than normal information transfer, which makes it very challenging t... |
2210.05234 | Min Yang | Yuxin Song, Min Yang, Wenhao Wu, Dongliang He, Fu Li and Jingdong Wang | It Takes Two: Masked Appearance-Motion Modeling for Self-supervised
Video Transformer Pre-training | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Self-supervised video transformer pre-training has recently benefited from
the mask-and-predict pipeline. They have demonstrated outstanding effectiveness
on downstream video tasks and superior data efficiency on small datasets.
However, temporal relation is not fully exploited by these methods. In this
work, we expl... | [
{
"created": "Tue, 11 Oct 2022 08:05:18 GMT",
"version": "v1"
}
] | 2022-10-12 | [
[
"Song",
"Yuxin",
""
],
[
"Yang",
"Min",
""
],
[
"Wu",
"Wenhao",
""
],
[
"He",
"Dongliang",
""
],
[
"Li",
"Fu",
""
],
[
"Wang",
"Jingdong",
""
]
] | Self-supervised video transformer pre-training has recently benefited from the mask-and-predict pipeline. They have demonstrated outstanding effectiveness on downstream video tasks and superior data efficiency on small datasets. However, temporal relation is not fully exploited by these methods. In this work, we explic... |
1510.03023 | Dani Lischinski | Haisen Zhao, Lin Lu, Yuan Wei, Dani Lischinski, Andrei Sharf, Daniel
Cohen-Or, Baoquan Chen | Printed Perforated Lampshades for Continuous Projective Images | 10 pages | null | null | null | cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a technique for designing 3D-printed perforated lampshades, which
project continuous grayscale images onto the surrounding walls. Given the
geometry of the lampshade and a target grayscale image, our method computes a
distribution of tiny holes over the shell, such that the combined footprints of
the light... | [
{
"created": "Sun, 11 Oct 2015 08:13:38 GMT",
"version": "v1"
}
] | 2015-10-13 | [
[
"Zhao",
"Haisen",
""
],
[
"Lu",
"Lin",
""
],
[
"Wei",
"Yuan",
""
],
[
"Lischinski",
"Dani",
""
],
[
"Sharf",
"Andrei",
""
],
[
"Cohen-Or",
"Daniel",
""
],
[
"Chen",
"Baoquan",
""
]
] | We present a technique for designing 3D-printed perforated lampshades, which project continuous grayscale images onto the surrounding walls. Given the geometry of the lampshade and a target grayscale image, our method computes a distribution of tiny holes over the shell, such that the combined footprints of the light e... |
1701.00722 | Laslo Hunhold | Laslo Hunhold | The Unum Number Format: Mathematical Foundations, Implementation and
Comparison to IEEE 754 Floating-Point Numbers | 95 pages, 7 figures, 14 code listings | null | null | null | cs.NA cs.MS | http://creativecommons.org/licenses/by/4.0/ | This thesis examines a modern concept for machine numbers based on interval
arithmetic called 'Unums' and compares it to IEEE 754 floating-point
arithmetic, evaluating possible uses of this format where floating-point
numbers are inadequate. In the course of this examination, this thesis builds
theoretical foundation... | [
{
"created": "Mon, 2 Jan 2017 23:21:43 GMT",
"version": "v1"
}
] | 2017-01-04 | [
[
"Hunhold",
"Laslo",
""
]
] | This thesis examines a modern concept for machine numbers based on interval arithmetic called 'Unums' and compares it to IEEE 754 floating-point arithmetic, evaluating possible uses of this format where floating-point numbers are inadequate. In the course of this examination, this thesis builds theoretical foundations ... |
2311.12257 | Weihan Xu | Weihan Xu, Julian McAuley, Shlomo Dubnov, Hao-Wen Dong | Equipping Pretrained Unconditional Music Transformers with Instrument
and Genre Controls | null | null | null | null | cs.SD cs.IR cs.MM eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The ''pretraining-and-finetuning'' paradigm has become a norm for training
domain-specific models in natural language processing and computer vision. In
this work, we aim to examine this paradigm for symbolic music generation
through leveraging the largest ever symbolic music dataset sourced from the
MuseScore forum.... | [
{
"created": "Tue, 21 Nov 2023 00:37:47 GMT",
"version": "v1"
}
] | 2023-11-22 | [
[
"Xu",
"Weihan",
""
],
[
"McAuley",
"Julian",
""
],
[
"Dubnov",
"Shlomo",
""
],
[
"Dong",
"Hao-Wen",
""
]
] | The ''pretraining-and-finetuning'' paradigm has become a norm for training domain-specific models in natural language processing and computer vision. In this work, we aim to examine this paradigm for symbolic music generation through leveraging the largest ever symbolic music dataset sourced from the MuseScore forum. W... |
2401.00981 | Shawana Tabassum | Vivek Kumar Tiwari, Premananda Indic, Shawana Tabassum | Machine Learning Classification of Alzheimer's Disease Stages Using
Cerebrospinal Fluid Biomarkers Alone | null | null | null | null | cs.LG q-bio.QM stat.AP | http://creativecommons.org/licenses/by/4.0/ | Early diagnosis of Alzheimer's disease is a challenge because the existing
methodologies do not identify the patients in their preclinical stage, which
can last up to a decade prior to the onset of clinical symptoms. Several
research studies demonstrate the potential of cerebrospinal fluid biomarkers,
amyloid beta 1-... | [
{
"created": "Tue, 2 Jan 2024 00:55:10 GMT",
"version": "v1"
}
] | 2024-01-03 | [
[
"Tiwari",
"Vivek Kumar",
""
],
[
"Indic",
"Premananda",
""
],
[
"Tabassum",
"Shawana",
""
]
] | Early diagnosis of Alzheimer's disease is a challenge because the existing methodologies do not identify the patients in their preclinical stage, which can last up to a decade prior to the onset of clinical symptoms. Several research studies demonstrate the potential of cerebrospinal fluid biomarkers, amyloid beta 1-42... |
1606.07861 | Sam Chiu-wai Wong | Sam Chiu-wai Wong | Tight Algorithms for Vertex Cover with Hard Capacities on Multigraphs
and Hypergraphs | 15 pages; SODA 2017 | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we give a f-approximation algorithm for the minimum unweighted
Vertex Cover problem with Hard Capacity constraints (VCHC) on f-hypergraphs.
This problem generalizes standard vertex cover for which the best known
approximation ratio is also f and cannot be improved assuming the unique game
conjecture. Ou... | [
{
"created": "Sat, 25 Jun 2016 01:12:46 GMT",
"version": "v1"
},
{
"created": "Sun, 22 Jan 2017 13:47:42 GMT",
"version": "v2"
}
] | 2017-01-24 | [
[
"Wong",
"Sam Chiu-wai",
""
]
] | In this paper we give a f-approximation algorithm for the minimum unweighted Vertex Cover problem with Hard Capacity constraints (VCHC) on f-hypergraphs. This problem generalizes standard vertex cover for which the best known approximation ratio is also f and cannot be improved assuming the unique game conjecture. Our ... |
1902.08226 | Fuli Feng | Fuli Feng, Xiangnan He, Jie Tang, Tat-Seng Chua | Graph Adversarial Training: Dynamically Regularizing Based on Graph
Structure | Accepted by TKDE | null | null | null | cs.LG cs.SI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent efforts show that neural networks are vulnerable to small but
intentional perturbations on input features in visual classification tasks. Due
to the additional consideration of connections between examples (\eg articles
with citation link tend to be in the same class), graph neural networks could
be more sensi... | [
{
"created": "Wed, 20 Feb 2019 05:18:01 GMT",
"version": "v1"
},
{
"created": "Sun, 15 Dec 2019 04:14:27 GMT",
"version": "v2"
}
] | 2019-12-17 | [
[
"Feng",
"Fuli",
""
],
[
"He",
"Xiangnan",
""
],
[
"Tang",
"Jie",
""
],
[
"Chua",
"Tat-Seng",
""
]
] | Recent efforts show that neural networks are vulnerable to small but intentional perturbations on input features in visual classification tasks. Due to the additional consideration of connections between examples (\eg articles with citation link tend to be in the same class), graph neural networks could be more sensiti... |
1805.02523 | Julian M\"uller | Julian M\"uller and Klaus Dietmayer | Detecting Traffic Lights by Single Shot Detection | Submitted to International Conference on Intelligent Transportation
Systems (ITSC2018) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent improvements in object detection are driven by the success of
convolutional neural networks (CNN). They are able to learn rich features
outperforming hand-crafted features. So far, research in traffic light
detection mainly focused on hand-crafted features, such as color, shape or
brightness of the traffic lig... | [
{
"created": "Mon, 7 May 2018 13:37:17 GMT",
"version": "v1"
},
{
"created": "Tue, 14 Aug 2018 12:19:16 GMT",
"version": "v2"
},
{
"created": "Thu, 11 Oct 2018 13:50:50 GMT",
"version": "v3"
}
] | 2018-10-12 | [
[
"Müller",
"Julian",
""
],
[
"Dietmayer",
"Klaus",
""
]
] | Recent improvements in object detection are driven by the success of convolutional neural networks (CNN). They are able to learn rich features outperforming hand-crafted features. So far, research in traffic light detection mainly focused on hand-crafted features, such as color, shape or brightness of the traffic light... |
1710.05748 | Nikolaos Pappas | Ioannis Dimitriou, Nikolaos Pappas | Performance Analysis of a Cooperative Wireless Network with Adaptive
Relays | null | null | 10.1016/j.adhoc.2018.12.007 | null | cs.IT cs.NI math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we investigate a slotted-time relay assisted cooperative random
access wireless network with multipacket (MPR) reception capabilities. MPR
refers to the capability of a wireless node to successfully receive packets
from more than two other modes that transmit simultaneously at the same slot.
We consider... | [
{
"created": "Thu, 12 Oct 2017 19:35:16 GMT",
"version": "v1"
},
{
"created": "Thu, 19 Oct 2017 09:02:37 GMT",
"version": "v2"
},
{
"created": "Mon, 15 Jul 2019 20:44:54 GMT",
"version": "v3"
}
] | 2019-07-17 | [
[
"Dimitriou",
"Ioannis",
""
],
[
"Pappas",
"Nikolaos",
""
]
] | In this work, we investigate a slotted-time relay assisted cooperative random access wireless network with multipacket (MPR) reception capabilities. MPR refers to the capability of a wireless node to successfully receive packets from more than two other modes that transmit simultaneously at the same slot. We consider a... |
1706.06433 | Liang Liu | Liang Liu and Wei Yu | Massive Connectivity with Massive MIMO-Part II: Achievable Rate
Characterization | This paper is accepted and to be published in the IEEE Transactions
on Signal Processing | null | 10.1109/TSP.2018.2818070 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This two-part paper aims to quantify the cost of device activity detection in
an uplink massive connectivity scenario with a large number of devices but
device activities are sporadic. Part I of this paper shows that in an
asymptotic massive multiple-input multiple-output (MIMO) regime, device
activity detection can ... | [
{
"created": "Tue, 20 Jun 2017 13:49:44 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Mar 2018 03:40:20 GMT",
"version": "v2"
}
] | 2018-05-09 | [
[
"Liu",
"Liang",
""
],
[
"Yu",
"Wei",
""
]
] | This two-part paper aims to quantify the cost of device activity detection in an uplink massive connectivity scenario with a large number of devices but device activities are sporadic. Part I of this paper shows that in an asymptotic massive multiple-input multiple-output (MIMO) regime, device activity detection can al... |
2406.05070 | Zefeng Chen | Jian Zhu, Xiaoye Chen, Wensheng Gan, Zefeng Chen, Philip S. Yu | Targeted Mining Precise-positioning Episode Rules | IEEE TETCI, 14 pages | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The era characterized by an exponential increase in data has led to the
widespread adoption of data intelligence as a crucial task. Within the field of
data mining, frequent episode mining has emerged as an effective tool for
extracting valuable and essential information from event sequences. Various
algorithms have ... | [
{
"created": "Fri, 7 Jun 2024 16:41:02 GMT",
"version": "v1"
}
] | 2024-06-10 | [
[
"Zhu",
"Jian",
""
],
[
"Chen",
"Xiaoye",
""
],
[
"Gan",
"Wensheng",
""
],
[
"Chen",
"Zefeng",
""
],
[
"Yu",
"Philip S.",
""
]
] | The era characterized by an exponential increase in data has led to the widespread adoption of data intelligence as a crucial task. Within the field of data mining, frequent episode mining has emerged as an effective tool for extracting valuable and essential information from event sequences. Various algorithms have be... |
1808.06468 | Nitish Nag | Nitish Nag, Vaibhav Pandey, Ramesh C. Jain | Endogenous and Exogenous Multi-Modal Layers in Context Aware
Recommendation Systems for Health | 6 pages | null | null | null | cs.CY cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | People care more about the solutions to their problems rather than data
alone. Inherently, this means using data to generate a list of recommendations
for a given situation. The rapid growth of multi-modal wearables and sensors
have not made this jump effectively in the domain of health. Modern user
content consumpti... | [
{
"created": "Tue, 7 Aug 2018 01:12:39 GMT",
"version": "v1"
}
] | 2018-08-21 | [
[
"Nag",
"Nitish",
""
],
[
"Pandey",
"Vaibhav",
""
],
[
"Jain",
"Ramesh C.",
""
]
] | People care more about the solutions to their problems rather than data alone. Inherently, this means using data to generate a list of recommendations for a given situation. The rapid growth of multi-modal wearables and sensors have not made this jump effectively in the domain of health. Modern user content consumption... |
1203.3513 | Ross D. Shachter | Ross D. Shachter, Debarun Bhattacharjya | Dynamic programming in in uence diagrams with decision circuits | Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty
in Artificial Intelligence (UAI2010) | null | null | UAI-P-2010-PG-509-516 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Decision circuits perform efficient evaluation of influence diagrams,
building on the ad- vances in arithmetic circuits for belief net- work
inference [Darwiche, 2003; Bhattachar- jya and Shachter, 2007]. We show how
even more compact decision circuits can be con- structed for dynamic
programming in influ- ence diagr... | [
{
"created": "Thu, 15 Mar 2012 11:17:56 GMT",
"version": "v1"
}
] | 2012-03-19 | [
[
"Shachter",
"Ross D.",
""
],
[
"Bhattacharjya",
"Debarun",
""
]
] | Decision circuits perform efficient evaluation of influence diagrams, building on the ad- vances in arithmetic circuits for belief net- work inference [Darwiche, 2003; Bhattachar- jya and Shachter, 2007]. We show how even more compact decision circuits can be con- structed for dynamic programming in influ- ence diagram... |
2305.05274 | Swarnava Dey | Swarnava Dey and Pallab Dasgupta and Partha P Chakrabarti | DietCNN: Multiplication-free Inference for Quantized CNNs | Supplementary for S. Dey, P. Dasgupta and P. P. Chakrabarti,
"DietCNN: Multiplication-free Inference for Quantized CNNs," 2023
International Joint Conference on Neural Networks (IJCNN), Gold Coast,
Australia, 2023, pp. 1-8, doi: 10.1109/IJCNN54540.2023.10191771 | null | 10.1109/IJCNN54540.2023.10191771 | null | cs.CV cs.LG cs.PF | http://creativecommons.org/licenses/by/4.0/ | The rising demand for networked embedded systems with machine intelligence
has been a catalyst for sustained attempts by the research community to
implement Convolutional Neural Networks (CNN) based inferencing on embedded
resource-limited devices. Redesigning a CNN by removing costly multiplication
operations has al... | [
{
"created": "Tue, 9 May 2023 08:54:54 GMT",
"version": "v1"
},
{
"created": "Thu, 17 Aug 2023 13:10:41 GMT",
"version": "v2"
}
] | 2023-08-21 | [
[
"Dey",
"Swarnava",
""
],
[
"Dasgupta",
"Pallab",
""
],
[
"Chakrabarti",
"Partha P",
""
]
] | The rising demand for networked embedded systems with machine intelligence has been a catalyst for sustained attempts by the research community to implement Convolutional Neural Networks (CNN) based inferencing on embedded resource-limited devices. Redesigning a CNN by removing costly multiplication operations has alre... |
2402.02335 | Bin Zhu | Bin Zhu, Kevin Flanagan, Adriano Fragomeni, Michael Wray, Dima Damen | Video Editing for Video Retrieval | null | null | null | null | cs.CV cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Though pre-training vision-language models have demonstrated significant
benefits in boosting video-text retrieval performance from large-scale web
videos, fine-tuning still plays a critical role with manually annotated clips
with start and end times, which requires considerable human effort. To address
this issue, w... | [
{
"created": "Sun, 4 Feb 2024 04:13:31 GMT",
"version": "v1"
}
] | 2024-02-07 | [
[
"Zhu",
"Bin",
""
],
[
"Flanagan",
"Kevin",
""
],
[
"Fragomeni",
"Adriano",
""
],
[
"Wray",
"Michael",
""
],
[
"Damen",
"Dima",
""
]
] | Though pre-training vision-language models have demonstrated significant benefits in boosting video-text retrieval performance from large-scale web videos, fine-tuning still plays a critical role with manually annotated clips with start and end times, which requires considerable human effort. To address this issue, we ... |
2104.08840 | Qinyuan Ye | Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma,
Wen-tau Yih, Xiang Ren, Madian Khabsa | On the Influence of Masking Policies in Intermediate Pre-training | Accepted to EMNLP 2021. Camera-ready version | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | Current NLP models are predominantly trained through a two-stage "pre-train
then fine-tune" pipeline. Prior work has shown that inserting an intermediate
pre-training stage, using heuristic masking policies for masked language
modeling (MLM), can significantly improve final performance. However, it is
still unclear (... | [
{
"created": "Sun, 18 Apr 2021 12:32:23 GMT",
"version": "v1"
},
{
"created": "Thu, 30 Sep 2021 23:52:48 GMT",
"version": "v2"
}
] | 2021-10-04 | [
[
"Ye",
"Qinyuan",
""
],
[
"Li",
"Belinda Z.",
""
],
[
"Wang",
"Sinong",
""
],
[
"Bolte",
"Benjamin",
""
],
[
"Ma",
"Hao",
""
],
[
"Yih",
"Wen-tau",
""
],
[
"Ren",
"Xiang",
""
],
[
"Khabsa",
"Madi... | Current NLP models are predominantly trained through a two-stage "pre-train then fine-tune" pipeline. Prior work has shown that inserting an intermediate pre-training stage, using heuristic masking policies for masked language modeling (MLM), can significantly improve final performance. However, it is still unclear (1)... |
2107.14498 | R\'emy Leroy | R\'emy Leroy, Pauline Trouv\'e-Peloux, Fr\'ed\'eric Champagnat,
Bertrand Le Saux, Marcela Carvalho | Pix2Point: Learning Outdoor 3D Using Sparse Point Clouds and Optimal
Transport | 5 pages, 2 figures, to be published in 2021 International Conference
on Machine Vision Applications | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Good quality reconstruction and comprehension of a scene rely on 3D
estimation methods. The 3D information was usually obtained from images by
stereo-photogrammetry, but deep learning has recently provided us with
excellent results for monocular depth estimation. Building up a sufficiently
large and rich training dat... | [
{
"created": "Fri, 30 Jul 2021 09:03:39 GMT",
"version": "v1"
}
] | 2021-08-02 | [
[
"Leroy",
"Rémy",
""
],
[
"Trouvé-Peloux",
"Pauline",
""
],
[
"Champagnat",
"Frédéric",
""
],
[
"Saux",
"Bertrand Le",
""
],
[
"Carvalho",
"Marcela",
""
]
] | Good quality reconstruction and comprehension of a scene rely on 3D estimation methods. The 3D information was usually obtained from images by stereo-photogrammetry, but deep learning has recently provided us with excellent results for monocular depth estimation. Building up a sufficiently large and rich training datas... |
2110.09193 | Robin Vandaele | Robin Vandaele, Bo Kang, Jefrey Lijffijt, Tijl De Bie, Yvan Saeys | Topologically Regularized Data Embeddings | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Unsupervised feature learning often finds low-dimensional embeddings that
capture the structure of complex data. For tasks for which prior expert
topological knowledge is available, incorporating this into the learned
representation may lead to higher quality embeddings. For example, this may
help one to embed the da... | [
{
"created": "Mon, 18 Oct 2021 11:25:47 GMT",
"version": "v1"
},
{
"created": "Wed, 1 Dec 2021 14:34:18 GMT",
"version": "v2"
},
{
"created": "Mon, 14 Feb 2022 13:15:50 GMT",
"version": "v3"
},
{
"created": "Mon, 7 Mar 2022 10:56:53 GMT",
"version": "v4"
}
] | 2022-03-08 | [
[
"Vandaele",
"Robin",
""
],
[
"Kang",
"Bo",
""
],
[
"Lijffijt",
"Jefrey",
""
],
[
"De Bie",
"Tijl",
""
],
[
"Saeys",
"Yvan",
""
]
] | Unsupervised feature learning often finds low-dimensional embeddings that capture the structure of complex data. For tasks for which prior expert topological knowledge is available, incorporating this into the learned representation may lead to higher quality embeddings. For example, this may help one to embed the data... |
2310.15849 | Achilleas Santi Seisa | Gerasimos Damigos, Achilleas Santi Seisa, Sumeet Gajanan Satpute, Tore
Lindgren, George Nikolakopoulos | A Resilient Framework for 5G-Edge-Connected UAVs based on Switching
Edge-MPC and Onboard-PID Control | 8 pages, 9 figures, isie2023 | 2023 IEEE 32nd International Symposium on Industrial Electronics
(ISIE) | 10.1109/ISIE51358.2023.10228114 | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | In recent years, the need for resources for handling processes with high
computational complexity for mobile robots is becoming increasingly urgent.
More specifically, robots need to autonomously operate in a robust and
continuous manner, while keeping high performance, a need that led to the
utilization of edge comp... | [
{
"created": "Tue, 24 Oct 2023 14:04:26 GMT",
"version": "v1"
}
] | 2023-10-25 | [
[
"Damigos",
"Gerasimos",
""
],
[
"Seisa",
"Achilleas Santi",
""
],
[
"Satpute",
"Sumeet Gajanan",
""
],
[
"Lindgren",
"Tore",
""
],
[
"Nikolakopoulos",
"George",
""
]
] | In recent years, the need for resources for handling processes with high computational complexity for mobile robots is becoming increasingly urgent. More specifically, robots need to autonomously operate in a robust and continuous manner, while keeping high performance, a need that led to the utilization of edge comput... |
2405.01155 | Miruna Cretu | Miruna Cretu, Charles Harris, Julien Roy, Emmanuel Bengio, Pietro
Li\`o | SynFlowNet: Towards Molecule Design with Guaranteed Synthesis Pathways | Presented at ICLR 2024 GEM Workshop | null | null | null | cs.LG q-bio.BM | http://creativecommons.org/licenses/by/4.0/ | Recent breakthroughs in generative modelling have led to a number of works
proposing molecular generation models for drug discovery. While these models
perform well at capturing drug-like motifs, they are known to often produce
synthetically inaccessible molecules. This is because they are trained to
compose atoms or... | [
{
"created": "Thu, 2 May 2024 10:15:59 GMT",
"version": "v1"
}
] | 2024-05-03 | [
[
"Cretu",
"Miruna",
""
],
[
"Harris",
"Charles",
""
],
[
"Roy",
"Julien",
""
],
[
"Bengio",
"Emmanuel",
""
],
[
"Liò",
"Pietro",
""
]
] | Recent breakthroughs in generative modelling have led to a number of works proposing molecular generation models for drug discovery. While these models perform well at capturing drug-like motifs, they are known to often produce synthetically inaccessible molecules. This is because they are trained to compose atoms or f... |
1910.06573 | Cheng-En Wu | Cheng-En Wu, Yi-Ming Chan, Chien-Hung Chen, Wen-Cheng Chen, Chu-Song
Chen | IMMVP: An Efficient Daytime and Nighttime On-Road Object Detector | Accepted at IEEE 21st International Workshop on Multimedia Signal
Processing (MMSP 2019) | null | null | null | cs.CV cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | It is hard to detect on-road objects under various lighting conditions. To
improve the quality of the classifier, three techniques are used. We define
subclasses to separate daytime and nighttime samples. Then we skip similar
samples in the training set to prevent overfitting. With the help of the
outside training sa... | [
{
"created": "Tue, 15 Oct 2019 07:46:03 GMT",
"version": "v1"
},
{
"created": "Fri, 25 Oct 2019 02:16:59 GMT",
"version": "v2"
},
{
"created": "Mon, 28 Oct 2019 05:00:49 GMT",
"version": "v3"
}
] | 2019-10-29 | [
[
"Wu",
"Cheng-En",
""
],
[
"Chan",
"Yi-Ming",
""
],
[
"Chen",
"Chien-Hung",
""
],
[
"Chen",
"Wen-Cheng",
""
],
[
"Chen",
"Chu-Song",
""
]
] | It is hard to detect on-road objects under various lighting conditions. To improve the quality of the classifier, three techniques are used. We define subclasses to separate daytime and nighttime samples. Then we skip similar samples in the training set to prevent overfitting. With the help of the outside training samp... |
2304.08135 | Alexander Wein | Abhishek Dhawan, Cheng Mao, Alexander S. Wein | Detection of Dense Subhypergraphs by Low-Degree Polynomials | 31 pages | null | null | null | cs.DS cs.CC math.ST stat.ML stat.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Detection of a planted dense subgraph in a random graph is a fundamental
statistical and computational problem that has been extensively studied in
recent years. We study a hypergraph version of the problem. Let $G^r(n,p)$
denote the $r$-uniform Erd\H{o}s-R\'enyi hypergraph model with $n$ vertices and
edge density $p... | [
{
"created": "Mon, 17 Apr 2023 10:38:08 GMT",
"version": "v1"
}
] | 2023-04-18 | [
[
"Dhawan",
"Abhishek",
""
],
[
"Mao",
"Cheng",
""
],
[
"Wein",
"Alexander S.",
""
]
] | Detection of a planted dense subgraph in a random graph is a fundamental statistical and computational problem that has been extensively studied in recent years. We study a hypergraph version of the problem. Let $G^r(n,p)$ denote the $r$-uniform Erd\H{o}s-R\'enyi hypergraph model with $n$ vertices and edge density $p$.... |
2406.15362 | Nuredin Ali Abdelkadir | Nuredin Ali, Charles Chuankai Zhang, Ned Mayo, Stevie Chancellor | Diverse Perspectives, Divergent Models: Cross-Cultural Evaluation of
Depression Detection on Twitter | 6 pages, 2 figures, NAACL 2024 Main Conference | 2024 Annual Conference of the North American Chapter of the
Association for Computational Linguistics (NAACL) | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Social media data has been used for detecting users with mental disorders,
such as depression. Despite the global significance of cross-cultural
representation and its potential impact on model performance, publicly
available datasets often lack crucial metadata related to this aspect. In this
work, we evaluate the g... | [
{
"created": "Mon, 1 Apr 2024 03:59:12 GMT",
"version": "v1"
}
] | 2024-06-25 | [
[
"Ali",
"Nuredin",
""
],
[
"Zhang",
"Charles Chuankai",
""
],
[
"Mayo",
"Ned",
""
],
[
"Chancellor",
"Stevie",
""
]
] | Social media data has been used for detecting users with mental disorders, such as depression. Despite the global significance of cross-cultural representation and its potential impact on model performance, publicly available datasets often lack crucial metadata related to this aspect. In this work, we evaluate the gen... |
2307.03480 | Erik Daniel | Erik Daniel and Marcel Ebert and Florian Tschorsch | Improving Bitswap Privacy with Forwarding and Source Obfuscation | short paper, 4 pages, accepted as a short paper at 2023 IEEE 48th
Conference on Local Computer Networks (LCN) | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | IPFS is a content-addressed decentralized peer-to-peer data network, using
the Bitswap protocol for exchanging data. The data exchange leaks the
information to all neighbors, compromising a user's privacy. This paper
investigates the suitability of forwarding with source obfuscation techniques
for improving the priva... | [
{
"created": "Fri, 7 Jul 2023 09:37:58 GMT",
"version": "v1"
}
] | 2023-07-10 | [
[
"Daniel",
"Erik",
""
],
[
"Ebert",
"Marcel",
""
],
[
"Tschorsch",
"Florian",
""
]
] | IPFS is a content-addressed decentralized peer-to-peer data network, using the Bitswap protocol for exchanging data. The data exchange leaks the information to all neighbors, compromising a user's privacy. This paper investigates the suitability of forwarding with source obfuscation techniques for improving the privacy... |
2106.00839 | Agni Orfanoudaki | Dimitris Bertsimas, Agni Orfanoudaki | Algorithmic Insurance | null | null | null | null | cs.LG q-fin.RM stat.ML | http://creativecommons.org/licenses/by/4.0/ | As machine learning algorithms start to get integrated into the
decision-making process of companies and organizations, insurance products are
being developed to protect their owners from liability risk. Algorithmic
liability differs from human liability since it is based on a single model
compared to multiple hetero... | [
{
"created": "Tue, 1 Jun 2021 22:32:02 GMT",
"version": "v1"
},
{
"created": "Wed, 14 Dec 2022 15:24:32 GMT",
"version": "v2"
}
] | 2022-12-15 | [
[
"Bertsimas",
"Dimitris",
""
],
[
"Orfanoudaki",
"Agni",
""
]
] | As machine learning algorithms start to get integrated into the decision-making process of companies and organizations, insurance products are being developed to protect their owners from liability risk. Algorithmic liability differs from human liability since it is based on a single model compared to multiple heteroge... |
2110.14528 | Sariel Har-Peled | Sariel Har-Peled and Jiaqi Cheng | On Competitive Permutations for Set Cover by Intervals | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We revisit the problem of computing an optimal partial cover of points by
intervals. We show that the greedy algorithm computes a permutation $\Pi =
\pi_1, \pi_2,\ldots$ of the intervals that is $3/4$-competitive for any prefix
of $k$ intervals. That is, for any $k$, the intervals $\pi_1 \cup \cdots \cup
\pi_k$ cover... | [
{
"created": "Wed, 27 Oct 2021 15:41:09 GMT",
"version": "v1"
}
] | 2021-10-28 | [
[
"Har-Peled",
"Sariel",
""
],
[
"Cheng",
"Jiaqi",
""
]
] | We revisit the problem of computing an optimal partial cover of points by intervals. We show that the greedy algorithm computes a permutation $\Pi = \pi_1, \pi_2,\ldots$ of the intervals that is $3/4$-competitive for any prefix of $k$ intervals. That is, for any $k$, the intervals $\pi_1 \cup \cdots \cup \pi_k$ covers ... |
2008.09965 | Zirui Wang | Zirui Wang, Victor Adrian Prisacariu | Neighbourhood-Insensitive Point Cloud Normal Estimation Network | Accepted in BMVC 2020 as oral presentation. Code available at
https://code.active.vision and project page at http://ninormal.active.vision | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a novel self-attention-based normal estimation network that is
able to focus softly on relevant points and adjust the softness by learning a
temperature parameter, making it able to work naturally and effectively within
a large neighbourhood range. As a result, our model outperforms all existing
normal e... | [
{
"created": "Sun, 23 Aug 2020 05:46:58 GMT",
"version": "v1"
},
{
"created": "Tue, 25 Aug 2020 02:36:33 GMT",
"version": "v2"
},
{
"created": "Fri, 15 Jan 2021 11:01:58 GMT",
"version": "v3"
}
] | 2021-01-18 | [
[
"Wang",
"Zirui",
""
],
[
"Prisacariu",
"Victor Adrian",
""
]
] | We introduce a novel self-attention-based normal estimation network that is able to focus softly on relevant points and adjust the softness by learning a temperature parameter, making it able to work naturally and effectively within a large neighbourhood range. As a result, our model outperforms all existing normal est... |
2307.00580 | Hemanth Karnati | Hemanth Karnati | IoT-Based Air Quality Monitoring System with Machine Learning for
Accurate and Real-time Data Analysis | 18 pages, 10 figures | null | null | null | cs.LG | http://creativecommons.org/publicdomain/zero/1.0/ | Air pollution in urban areas has severe consequences for both human health
and the environment, predominantly caused by exhaust emissions from vehicles.
To address the issue of air pollution awareness, Air Pollution Monitoring
systems are used to measure the concentration of gases like CO2, smoke,
alcohol, benzene, a... | [
{
"created": "Sun, 2 Jul 2023 14:18:04 GMT",
"version": "v1"
}
] | 2023-07-04 | [
[
"Karnati",
"Hemanth",
""
]
] | Air pollution in urban areas has severe consequences for both human health and the environment, predominantly caused by exhaust emissions from vehicles. To address the issue of air pollution awareness, Air Pollution Monitoring systems are used to measure the concentration of gases like CO2, smoke, alcohol, benzene, and... |
0808.0112 | Didier Sornette | V.I. Yukalov and D. Sornette | Mathematical Structure of Quantum Decision Theory | 40 pages | Advances in Complex Systems 13, 659-698 (2010) | null | null | cs.AI math-ph math.MP quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | One of the most complex systems is the human brain whose formalized
functioning is characterized by decision theory. We present a "Quantum Decision
Theory" of decision making, based on the mathematical theory of separable
Hilbert spaces. This mathematical structure captures the effect of
superposition of composite pr... | [
{
"created": "Fri, 1 Aug 2008 13:14:20 GMT",
"version": "v1"
},
{
"created": "Wed, 27 Oct 2010 09:05:25 GMT",
"version": "v2"
},
{
"created": "Thu, 28 Oct 2010 10:28:03 GMT",
"version": "v3"
}
] | 2010-10-29 | [
[
"Yukalov",
"V. I.",
""
],
[
"Sornette",
"D.",
""
]
] | One of the most complex systems is the human brain whose formalized functioning is characterized by decision theory. We present a "Quantum Decision Theory" of decision making, based on the mathematical theory of separable Hilbert spaces. This mathematical structure captures the effect of superposition of composite pros... |
1805.01151 | Robert Feldt | Jan-Philipp Stegh\"ofer, H{\aa}kan Burden, Regina Hebig, Gul Calikli,
Robert Feldt, Imed Hammouda, Jennifer Horkoff, Eric Knauss, Grischa Liebel | Involving External Stakeholders in Project Courses | Abstract shortened since arxiv.org limits length of abstracts. See
paper/pdf for full abstract. Paper is forthcoming, accepted August 2017.
Arxiv version 2 corrects misspelled author name | ACM Transactions on Computing Education (TOCE), acc. August 2017 | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Problem: The involvement of external stakeholders in capstone projects and
project courses is desirable due to its potential positive effects on the
students. Capstone projects particularly profit from the inclusion of an
industrial partner to make the project relevant and help students acquire
professional skills. I... | [
{
"created": "Thu, 3 May 2018 08:04:09 GMT",
"version": "v1"
},
{
"created": "Fri, 4 May 2018 07:13:25 GMT",
"version": "v2"
}
] | 2018-05-07 | [
[
"Steghöfer",
"Jan-Philipp",
""
],
[
"Burden",
"Håkan",
""
],
[
"Hebig",
"Regina",
""
],
[
"Calikli",
"Gul",
""
],
[
"Feldt",
"Robert",
""
],
[
"Hammouda",
"Imed",
""
],
[
"Horkoff",
"Jennifer",
""
],
[
... | Problem: The involvement of external stakeholders in capstone projects and project courses is desirable due to its potential positive effects on the students. Capstone projects particularly profit from the inclusion of an industrial partner to make the project relevant and help students acquire professional skills. In ... |
2408.00508 | Florian Dietz | Florian Dietz, Dietrich Klakow | Block-Operations: Using Modular Routing to Improve Compositional
Generalization | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | We explore the hypothesis that poor compositional generalization in neural
networks is caused by difficulties with learning effective routing. To solve
this problem, we propose the concept of block-operations, which is based on
splitting all activation tensors in the network into uniformly sized blocks and
using an i... | [
{
"created": "Thu, 1 Aug 2024 12:28:22 GMT",
"version": "v1"
}
] | 2024-08-02 | [
[
"Dietz",
"Florian",
""
],
[
"Klakow",
"Dietrich",
""
]
] | We explore the hypothesis that poor compositional generalization in neural networks is caused by difficulties with learning effective routing. To solve this problem, we propose the concept of block-operations, which is based on splitting all activation tensors in the network into uniformly sized blocks and using an ind... |
1110.0976 | Stefan Kratsch | Danny Hermelin and Stefan Kratsch and Karolina So{\l}tys and Magnus
Wahlstr\"om and Xi Wu | Hierarchies of Inefficient Kernelizability | null | null | null | null | cs.CC cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The framework of Bodlaender et al. (ICALP 2008) and Fortnow and Santhanam
(STOC 2008) allows us to exclude the existence of polynomial kernels for a
range of problems under reasonable complexity-theoretical assumptions. However,
there are also some issues that are not addressed by this framework, including
the existe... | [
{
"created": "Wed, 5 Oct 2011 13:14:58 GMT",
"version": "v1"
}
] | 2015-03-19 | [
[
"Hermelin",
"Danny",
""
],
[
"Kratsch",
"Stefan",
""
],
[
"Sołtys",
"Karolina",
""
],
[
"Wahlström",
"Magnus",
""
],
[
"Wu",
"Xi",
""
]
] | The framework of Bodlaender et al. (ICALP 2008) and Fortnow and Santhanam (STOC 2008) allows us to exclude the existence of polynomial kernels for a range of problems under reasonable complexity-theoretical assumptions. However, there are also some issues that are not addressed by this framework, including the existenc... |
1506.08009 | Francois Petitjean Ph.D. | Francois Petitjean, Tao Li, Nikolaj Tatti, Geoffrey I. Webb | Skopus: Mining top-k sequential patterns under leverage | null | Data Mining and Knowledge Discovery, September 2016, Volume 30,
Issue 5, pp 1086-1111 | 10.1007/s10618-016-0467-9 | null | cs.AI cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a framework for exact discovery of the top-k sequential
patterns under Leverage. It combines (1) a novel definition of the expected
support for a sequential pattern - a concept on which most interestingness
measures directly rely - with (2) SkOPUS: a new branch-and-bound algorithm for
the exact di... | [
{
"created": "Fri, 26 Jun 2015 09:36:10 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Jan 2016 04:48:08 GMT",
"version": "v2"
},
{
"created": "Mon, 8 May 2017 23:59:16 GMT",
"version": "v3"
},
{
"created": "Mon, 5 Feb 2018 01:26:34 GMT",
"version": "v4"
}
] | 2018-02-06 | [
[
"Petitjean",
"Francois",
""
],
[
"Li",
"Tao",
""
],
[
"Tatti",
"Nikolaj",
""
],
[
"Webb",
"Geoffrey I.",
""
]
] | This paper presents a framework for exact discovery of the top-k sequential patterns under Leverage. It combines (1) a novel definition of the expected support for a sequential pattern - a concept on which most interestingness measures directly rely - with (2) SkOPUS: a new branch-and-bound algorithm for the exact disc... |
1808.01666 | Tshilidzi Marwala | Tshilidzi Marwala | On Robot Revolution and Taxation | null | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Advances in artificial intelligence are resulting in the rapid automation of
the work force. The tools that are used to automate are called robots. Bill
Gates proposed that in order to deal with the problem of the loss of jobs and
reduction of the tax revenue we ought to tax the robots. The problem with
taxing the ro... | [
{
"created": "Sun, 5 Aug 2018 18:26:34 GMT",
"version": "v1"
}
] | 2018-08-07 | [
[
"Marwala",
"Tshilidzi",
""
]
] | Advances in artificial intelligence are resulting in the rapid automation of the work force. The tools that are used to automate are called robots. Bill Gates proposed that in order to deal with the problem of the loss of jobs and reduction of the tax revenue we ought to tax the robots. The problem with taxing the robo... |
2010.14858 | Jo\~ao Ribeiro | Mahdi Cheraghchi, Jo\~ao Ribeiro | Non-Asymptotic Capacity Upper Bounds for the Discrete-Time Poisson
Channel with Positive Dark Current | 12 pages, 2 figures. Minor revisions in the introduction | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We derive improved and easily computable upper bounds on the capacity of the
discrete-time Poisson channel under an average-power constraint and an
arbitrary constant dark current term. This is accomplished by combining a
general convex duality framework with a modified version of the digamma
distribution considered ... | [
{
"created": "Wed, 28 Oct 2020 10:10:14 GMT",
"version": "v1"
},
{
"created": "Sat, 31 Oct 2020 17:42:43 GMT",
"version": "v2"
}
] | 2020-11-03 | [
[
"Cheraghchi",
"Mahdi",
""
],
[
"Ribeiro",
"João",
""
]
] | We derive improved and easily computable upper bounds on the capacity of the discrete-time Poisson channel under an average-power constraint and an arbitrary constant dark current term. This is accomplished by combining a general convex duality framework with a modified version of the digamma distribution considered in... |
2209.09775 | Shashi Raj Pandey Dr. | Shashi Raj Pandey, Lam Duc Nguyen, and Petar Popovski | FedToken: Tokenized Incentives for Data Contribution in Federated
Learning | Accepted at Workshop on Federated Learning: Recent Advances and New
Challenges, in Conjunction with NeurIPS 2022 (FL-NeurIPS'22). 9 Pages, 5
Figures | null | null | null | cs.LG cs.DC cs.GT cs.NI | http://creativecommons.org/licenses/by/4.0/ | Incentives that compensate for the involved costs in the decentralized
training of a Federated Learning (FL) model act as a key stimulus for clients'
long-term participation. However, it is challenging to convince clients for
quality participation in FL due to the absence of: (i) full information on the
client's data... | [
{
"created": "Tue, 20 Sep 2022 14:58:08 GMT",
"version": "v1"
},
{
"created": "Thu, 3 Nov 2022 15:03:36 GMT",
"version": "v2"
}
] | 2022-11-04 | [
[
"Pandey",
"Shashi Raj",
""
],
[
"Nguyen",
"Lam Duc",
""
],
[
"Popovski",
"Petar",
""
]
] | Incentives that compensate for the involved costs in the decentralized training of a Federated Learning (FL) model act as a key stimulus for clients' long-term participation. However, it is challenging to convince clients for quality participation in FL due to the absence of: (i) full information on the client's data q... |
2402.03846 | Jose Cribeiro-Ramallo | Jose Cribeiro-Ramallo, Vadim Arzamasov, Klemens B\"ohm | Efficient Generation of Hidden Outliers for Improved Outlier Detection | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Outlier generation is a popular technique used for solving important outlier
detection tasks. Generating outliers with realistic behavior is challenging.
Popular existing methods tend to disregard the 'multiple views' property of
outliers in high-dimensional spaces. The only existing method accounting for
this proper... | [
{
"created": "Tue, 6 Feb 2024 09:48:33 GMT",
"version": "v1"
}
] | 2024-02-07 | [
[
"Cribeiro-Ramallo",
"Jose",
""
],
[
"Arzamasov",
"Vadim",
""
],
[
"Böhm",
"Klemens",
""
]
] | Outlier generation is a popular technique used for solving important outlier detection tasks. Generating outliers with realistic behavior is challenging. Popular existing methods tend to disregard the 'multiple views' property of outliers in high-dimensional spaces. The only existing method accounting for this property... |
1705.02503 | Lamberto Ballan | Federico Bartoli, Giuseppe Lisanti, Lamberto Ballan, Alberto Del Bimbo | Context-Aware Trajectory Prediction | Submitted to BMVC 2017 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Human motion and behaviour in crowded spaces is influenced by several
factors, such as the dynamics of other moving agents in the scene, as well as
the static elements that might be perceived as points of attraction or
obstacles. In this work, we present a new model for human trajectory prediction
which is able to ta... | [
{
"created": "Sat, 6 May 2017 16:36:32 GMT",
"version": "v1"
}
] | 2017-05-09 | [
[
"Bartoli",
"Federico",
""
],
[
"Lisanti",
"Giuseppe",
""
],
[
"Ballan",
"Lamberto",
""
],
[
"Del Bimbo",
"Alberto",
""
]
] | Human motion and behaviour in crowded spaces is influenced by several factors, such as the dynamics of other moving agents in the scene, as well as the static elements that might be perceived as points of attraction or obstacles. In this work, we present a new model for human trajectory prediction which is able to take... |
1702.06767 | Jiasong Wu | Jiasong Wu, Shijie Qiu, Youyong Kong, Yang Chen, Lotfi Senhadji,
Huazhong Shu | MomentsNet: a simple learning-free method for binary image recognition | 5 pages, 4 figures, 2 tables | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a new simple and learning-free deep learning
network named MomentsNet, whose convolution layer, nonlinear processing layer
and pooling layer are constructed by Moments kernels, binary hashing and
block-wise histogram, respectively. Twelve typical moments (including
geometrical moment, Zernik... | [
{
"created": "Wed, 22 Feb 2017 12:08:09 GMT",
"version": "v1"
}
] | 2017-02-23 | [
[
"Wu",
"Jiasong",
""
],
[
"Qiu",
"Shijie",
""
],
[
"Kong",
"Youyong",
""
],
[
"Chen",
"Yang",
""
],
[
"Senhadji",
"Lotfi",
""
],
[
"Shu",
"Huazhong",
""
]
] | In this paper, we propose a new simple and learning-free deep learning network named MomentsNet, whose convolution layer, nonlinear processing layer and pooling layer are constructed by Moments kernels, binary hashing and block-wise histogram, respectively. Twelve typical moments (including geometrical moment, Zernike ... |
2208.01520 | Radu Iosif | Radu Iosif and Florian Zuleger | On the Expressiveness of a Logic of Separated Relations | null | null | null | null | cs.LO | http://creativecommons.org/licenses/by/4.0/ | We compare the model-theoretic expressiveness of the existential fragment of
Separation Logic over unrestricted relational signatures (SLR) -- with only
separating conjunction as logical connective and higher-order inductive
definitions, traditionally known as the symbolic heap fragment -- with the
expressiveness of ... | [
{
"created": "Tue, 2 Aug 2022 15:11:58 GMT",
"version": "v1"
}
] | 2022-08-03 | [
[
"Iosif",
"Radu",
""
],
[
"Zuleger",
"Florian",
""
]
] | We compare the model-theoretic expressiveness of the existential fragment of Separation Logic over unrestricted relational signatures (SLR) -- with only separating conjunction as logical connective and higher-order inductive definitions, traditionally known as the symbolic heap fragment -- with the expressiveness of (M... |
1812.07050 | Zhe Liu | Zhe Liu and Shunbo Zhou and Chuanzhe Suo and Yingtian Liu and Peng Yin
and Hesheng Wang and Yun-Hui Liu | LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and
Environment Analysis | This paper has been accepted by ICCV-2019 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Point cloud based place recognition is still an open issue due to the
difficulty in extracting local features from the raw 3D point cloud and
generating the global descriptor, and it's even harder in the large-scale
dynamic environments. In this paper, we develop a novel deep neural network,
named LPD-Net (Large-scal... | [
{
"created": "Tue, 11 Dec 2018 04:42:24 GMT",
"version": "v1"
},
{
"created": "Mon, 19 Aug 2019 08:02:47 GMT",
"version": "v2"
}
] | 2019-08-20 | [
[
"Liu",
"Zhe",
""
],
[
"Zhou",
"Shunbo",
""
],
[
"Suo",
"Chuanzhe",
""
],
[
"Liu",
"Yingtian",
""
],
[
"Yin",
"Peng",
""
],
[
"Wang",
"Hesheng",
""
],
[
"Liu",
"Yun-Hui",
""
]
] | Point cloud based place recognition is still an open issue due to the difficulty in extracting local features from the raw 3D point cloud and generating the global descriptor, and it's even harder in the large-scale dynamic environments. In this paper, we develop a novel deep neural network, named LPD-Net (Large-scale ... |
1802.07830 | Ana Sokolova | Ana Sokolova and Harald Woracek | Proper Semirings and Proper Convex Functors | FoSSaCS 2018 full version | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Esik and Maletti introduced the notion of a proper semiring and proved that
some important (classes of) semirings -- Noetherian semirings, natural numbers
-- are proper. Properness matters as the equivalence problem for weighted
automata over a semiring which is proper and finitely and effectively presented
is decida... | [
{
"created": "Wed, 21 Feb 2018 22:10:37 GMT",
"version": "v1"
},
{
"created": "Sat, 24 Feb 2018 08:35:07 GMT",
"version": "v2"
}
] | 2018-02-27 | [
[
"Sokolova",
"Ana",
""
],
[
"Woracek",
"Harald",
""
]
] | Esik and Maletti introduced the notion of a proper semiring and proved that some important (classes of) semirings -- Noetherian semirings, natural numbers -- are proper. Properness matters as the equivalence problem for weighted automata over a semiring which is proper and finitely and effectively presented is decidabl... |
2401.03444 | Meng Qin | Meng Qin | Towards a Unified Method for Network Dynamic via Adversarial Weighted
Link Prediction | null | null | null | null | cs.NI cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Network dynamic (e.g., traffic burst in data center networks and channel
fading in cellular WiFi networks) has a great impact on the performance of
communication networks (e.g., throughput, capacity, delay, and jitter). This
article proposes a unified prediction-based method to handle the dynamic of
various network s... | [
{
"created": "Sun, 7 Jan 2024 10:30:51 GMT",
"version": "v1"
}
] | 2024-01-09 | [
[
"Qin",
"Meng",
""
]
] | Network dynamic (e.g., traffic burst in data center networks and channel fading in cellular WiFi networks) has a great impact on the performance of communication networks (e.g., throughput, capacity, delay, and jitter). This article proposes a unified prediction-based method to handle the dynamic of various network sys... |
1709.04545 | Antonio Cavalcante Araujo Neto | Antonio Cavalcante Araujo Neto, Joerg Sander, Ricardo J. G. B.
Campello, Mario A. Nascimento | Efficient Computation of Multiple Density-Based Clustering Hierarchies | A short version of this paper appears at IEEE ICDM 2017. Corrected
typos. Revised abstract | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | HDBSCAN*, a state-of-the-art density-based hierarchical clustering method,
produces a hierarchical organization of clusters in a dataset w.r.t. a
parameter mpts. While the performance of HDBSCAN* is robust w.r.t. mpts in the
sense that a small change in mpts typically leads to only a small or no change
in the cluster... | [
{
"created": "Wed, 13 Sep 2017 21:24:42 GMT",
"version": "v1"
},
{
"created": "Fri, 22 Sep 2017 22:08:11 GMT",
"version": "v2"
},
{
"created": "Thu, 7 Jun 2018 23:05:58 GMT",
"version": "v3"
}
] | 2018-06-11 | [
[
"Neto",
"Antonio Cavalcante Araujo",
""
],
[
"Sander",
"Joerg",
""
],
[
"Campello",
"Ricardo J. G. B.",
""
],
[
"Nascimento",
"Mario A.",
""
]
] | HDBSCAN*, a state-of-the-art density-based hierarchical clustering method, produces a hierarchical organization of clusters in a dataset w.r.t. a parameter mpts. While the performance of HDBSCAN* is robust w.r.t. mpts in the sense that a small change in mpts typically leads to only a small or no change in the clusterin... |
2310.05307 | Soumaya Cherkaoui | Benjamin Kalfon, Soumaya Cherkaoui, Jean-Fr\'ed\'eric Laprade, Ola
Ahmad and Shengrui Wang | Successive Data Injection in Conditional Quantum GAN Applied to Time
Series Anomaly Detection | null | null | null | null | cs.LG cs.NI | http://creativecommons.org/licenses/by-sa/4.0/ | Classical GAN architectures have shown interesting results for solving
anomaly detection problems in general and for time series anomalies in
particular, such as those arising in communication networks. In recent years,
several quantum GAN architectures have been proposed in the literature. When
detecting anomalies i... | [
{
"created": "Sun, 8 Oct 2023 22:58:44 GMT",
"version": "v1"
}
] | 2023-10-10 | [
[
"Kalfon",
"Benjamin",
""
],
[
"Cherkaoui",
"Soumaya",
""
],
[
"Laprade",
"Jean-Frédéric",
""
],
[
"Ahmad",
"Ola",
""
],
[
"Wang",
"Shengrui",
""
]
] | Classical GAN architectures have shown interesting results for solving anomaly detection problems in general and for time series anomalies in particular, such as those arising in communication networks. In recent years, several quantum GAN architectures have been proposed in the literature. When detecting anomalies in ... |
2009.00952 | Kun Zhan | Kun Zhan, Chaoxi Niu | Mutual Teaching for Graph Convolutional Networks | GCN, 8 pages, 1 figures | Future Generation Computer Systems, 2021 | null | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph convolutional networks produce good predictions of unlabeled samples
due to its transductive label propagation. Since samples have different
predicted confidences, we take high-confidence predictions as pseudo labels to
expand the label set so that more samples are selected for updating models. We
propose a new... | [
{
"created": "Wed, 2 Sep 2020 11:10:55 GMT",
"version": "v1"
}
] | 2020-09-07 | [
[
"Zhan",
"Kun",
""
],
[
"Niu",
"Chaoxi",
""
]
] | Graph convolutional networks produce good predictions of unlabeled samples due to its transductive label propagation. Since samples have different predicted confidences, we take high-confidence predictions as pseudo labels to expand the label set so that more samples are selected for updating models. We propose a new t... |
2403.00972 | Yinan Hu | Yinan Hu, Juntao Chen, Quanyan Zhu | Understanding Police Force Resource Allocation using Adversarial Optimal
Transport with Incomplete Information | null | null | null | null | cs.GT cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | Adversarial optimal transport has been proven useful as a mathematical
formulation to model resource allocation problems to maximize the efficiency of
transportation with an adversary, who modifies the data. It is often the case,
however, that only the adversary knows which nodes are malicious and which are
not. In t... | [
{
"created": "Fri, 1 Mar 2024 20:46:36 GMT",
"version": "v1"
}
] | 2024-03-05 | [
[
"Hu",
"Yinan",
""
],
[
"Chen",
"Juntao",
""
],
[
"Zhu",
"Quanyan",
""
]
] | Adversarial optimal transport has been proven useful as a mathematical formulation to model resource allocation problems to maximize the efficiency of transportation with an adversary, who modifies the data. It is often the case, however, that only the adversary knows which nodes are malicious and which are not. In thi... |
2212.03575 | Sanghwan Jang | Sanghwan Jang | Tag Embedding and Well-defined Intermediate Representation improve
Auto-Formulation of Problem Description | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this report, I address auto-formulation of problem description, the task
of converting an optimization problem into a canonical representation. I first
simplify the auto-formulation task by defining an intermediate representation,
then introduce entity tag embedding to utilize a given entity tag information.
The a... | [
{
"created": "Wed, 7 Dec 2022 11:23:43 GMT",
"version": "v1"
}
] | 2022-12-08 | [
[
"Jang",
"Sanghwan",
""
]
] | In this report, I address auto-formulation of problem description, the task of converting an optimization problem into a canonical representation. I first simplify the auto-formulation task by defining an intermediate representation, then introduce entity tag embedding to utilize a given entity tag information. The abl... |
2304.08502 | Jiankun Zhao | Zhiqiang Nie, Jiankun Zhao, Qicheng Li, Yong Qin | CyFormer: Accurate State-of-Health Prediction of Lithium-Ion Batteries
via Cyclic Attention | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Predicting the State-of-Health (SoH) of lithium-ion batteries is a
fundamental task of battery management systems on electric vehicles. It aims at
estimating future SoH based on historical aging data. Most existing deep
learning methods rely on filter-based feature extractors (e.g., CNN or Kalman
filters) and recurre... | [
{
"created": "Mon, 17 Apr 2023 02:16:40 GMT",
"version": "v1"
}
] | 2023-04-19 | [
[
"Nie",
"Zhiqiang",
""
],
[
"Zhao",
"Jiankun",
""
],
[
"Li",
"Qicheng",
""
],
[
"Qin",
"Yong",
""
]
] | Predicting the State-of-Health (SoH) of lithium-ion batteries is a fundamental task of battery management systems on electric vehicles. It aims at estimating future SoH based on historical aging data. Most existing deep learning methods rely on filter-based feature extractors (e.g., CNN or Kalman filters) and recurrent... |
2405.16918 | Nils Philipp Walter | Nils Philipp Walter, Linara Adilova, Jilles Vreeken, Michael Kamp | The Uncanny Valley: Exploring Adversarial Robustness from a Flatness
Perspective | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Flatness of the loss surface not only correlates positively with
generalization but is also related to adversarial robustness, since
perturbations of inputs relate non-linearly to perturbations of weights. In
this paper, we empirically analyze the relation between adversarial examples
and relative flatness with respe... | [
{
"created": "Mon, 27 May 2024 08:10:46 GMT",
"version": "v1"
}
] | 2024-05-28 | [
[
"Walter",
"Nils Philipp",
""
],
[
"Adilova",
"Linara",
""
],
[
"Vreeken",
"Jilles",
""
],
[
"Kamp",
"Michael",
""
]
] | Flatness of the loss surface not only correlates positively with generalization but is also related to adversarial robustness, since perturbations of inputs relate non-linearly to perturbations of weights. In this paper, we empirically analyze the relation between adversarial examples and relative flatness with respect... |
2407.19913 | Takato Yasuno | Takato Yasuno | Cell Culture Assistive Application for Precipitation Image Diagnosis | 18 pages, 15 figures, 5 tables | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In regenerative medicine research, we experimentally design the composition
of chemical medium. We add different components to 384-well plates and culture
the biological cells. We monitor the condition of the cells and take time-lapse
bioimages for morphological assay. In particular, precipitation can appear as
artef... | [
{
"created": "Mon, 29 Jul 2024 11:42:32 GMT",
"version": "v1"
}
] | 2024-07-30 | [
[
"Yasuno",
"Takato",
""
]
] | In regenerative medicine research, we experimentally design the composition of chemical medium. We add different components to 384-well plates and culture the biological cells. We monitor the condition of the cells and take time-lapse bioimages for morphological assay. In particular, precipitation can appear as artefac... |
1605.00390 | Jose Armando Oviedo | Jose Armando Oviedo and Hamid R. Sadjadpour | A New NOMA Approach for Fair Power Allocation | This paper is published in IEEE INFOCOM 2016 Workshop on 5G & Beyond
- Enabling Technologies and Applications; 5 pages, 3 figures | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A non-orthogonal multiple access (NOMA) approach to user signal power
allocation called Fair-NOMA is introduced. Fair-NOMA is the application of NOMA
in such a way that two mobile users have the opportunity to always achieve at
least the information capacity they can achieve by using orthogonal multiple
access (OMA),... | [
{
"created": "Mon, 2 May 2016 08:44:58 GMT",
"version": "v1"
}
] | 2016-05-03 | [
[
"Oviedo",
"Jose Armando",
""
],
[
"Sadjadpour",
"Hamid R.",
""
]
] | A non-orthogonal multiple access (NOMA) approach to user signal power allocation called Fair-NOMA is introduced. Fair-NOMA is the application of NOMA in such a way that two mobile users have the opportunity to always achieve at least the information capacity they can achieve by using orthogonal multiple access (OMA), r... |
2402.08416 | Gelei Deng | Gelei Deng, Yi Liu, Kailong Wang, Yuekang Li, Tianwei Zhang, Yang Liu | Pandora: Jailbreak GPTs by Retrieval Augmented Generation Poisoning | 6 pages | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large Language Models~(LLMs) have gained immense popularity and are being
increasingly applied in various domains. Consequently, ensuring the security of
these models is of paramount importance. Jailbreak attacks, which manipulate
LLMs to generate malicious content, are recognized as a significant
vulnerability. Whil... | [
{
"created": "Tue, 13 Feb 2024 12:40:39 GMT",
"version": "v1"
}
] | 2024-02-14 | [
[
"Deng",
"Gelei",
""
],
[
"Liu",
"Yi",
""
],
[
"Wang",
"Kailong",
""
],
[
"Li",
"Yuekang",
""
],
[
"Zhang",
"Tianwei",
""
],
[
"Liu",
"Yang",
""
]
] | Large Language Models~(LLMs) have gained immense popularity and are being increasingly applied in various domains. Consequently, ensuring the security of these models is of paramount importance. Jailbreak attacks, which manipulate LLMs to generate malicious content, are recognized as a significant vulnerability. While ... |
2103.14962 | Zixiang Zhou | Zixiang Zhou, Yang Zhang, Hassan Foroosh | Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation | Accepted by CVPR 2021 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Panoptic segmentation presents a new challenge in exploiting the merits of
both detection and segmentation, with the aim of unifying instance segmentation
and semantic segmentation in a single framework. However, an efficient solution
for panoptic segmentation in the emerging domain of LiDAR point cloud is still
an o... | [
{
"created": "Sat, 27 Mar 2021 18:31:40 GMT",
"version": "v1"
}
] | 2021-03-30 | [
[
"Zhou",
"Zixiang",
""
],
[
"Zhang",
"Yang",
""
],
[
"Foroosh",
"Hassan",
""
]
] | Panoptic segmentation presents a new challenge in exploiting the merits of both detection and segmentation, with the aim of unifying instance segmentation and semantic segmentation in a single framework. However, an efficient solution for panoptic segmentation in the emerging domain of LiDAR point cloud is still an ope... |
1703.03370 | Xiaozhe Wang | Xiaozhe Wang | Estimating Dynamic Load Parameters from Ambient PMU Measurements | The paper has been accepted by IEEE PES general meeting 2017 | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, a novel method to estimate dynamic load parameters via ambient
PMU measurements is proposed. Unlike conventional parameter identification
methods, the proposed algorithm does not require the existence of large
disturbance to power systems, and is able to provide up-to-date dynamic load
parameters consi... | [
{
"created": "Thu, 9 Mar 2017 17:47:38 GMT",
"version": "v1"
}
] | 2017-03-10 | [
[
"Wang",
"Xiaozhe",
""
]
] | In this paper, a novel method to estimate dynamic load parameters via ambient PMU measurements is proposed. Unlike conventional parameter identification methods, the proposed algorithm does not require the existence of large disturbance to power systems, and is able to provide up-to-date dynamic load parameters consist... |
2407.09107 | Leonhard Faubel | Leonhard Faubel and Klaus Schmid | MLOps: A Multiple Case Study in Industry 4.0 | null | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | As Machine Learning (ML) becomes more prevalent in Industry 4.0, there is a
growing need to understand how systematic approaches to bringing ML into
production can be practically implemented in industrial environments. Here,
MLOps comes into play. MLOps refers to the processes, tools, and organizational
structures us... | [
{
"created": "Fri, 12 Jul 2024 09:17:26 GMT",
"version": "v1"
}
] | 2024-07-15 | [
[
"Faubel",
"Leonhard",
""
],
[
"Schmid",
"Klaus",
""
]
] | As Machine Learning (ML) becomes more prevalent in Industry 4.0, there is a growing need to understand how systematic approaches to bringing ML into production can be practically implemented in industrial environments. Here, MLOps comes into play. MLOps refers to the processes, tools, and organizational structures used... |
2402.06591 | Arnaud Carayol | Arnaud Carayol, Philippe Duchon, Florent Koechlin, Cyril Nicaud | Random DFA With One Added Transition | 32 pages, 4 figures, extended version of STACS'2023 | null | null | null | cs.FL cs.LO | http://creativecommons.org/licenses/by/4.0/ | Every language recognized by a non-deterministic finite automaton can be
recognized by a deterministic automaton, at the cost of a potential increase of
the number of states, which in the worst case can go from $n$ states to $2^n$
states. In this article, we investigate this classical result in a
probabilistic settin... | [
{
"created": "Fri, 9 Feb 2024 18:11:57 GMT",
"version": "v1"
}
] | 2024-02-12 | [
[
"Carayol",
"Arnaud",
""
],
[
"Duchon",
"Philippe",
""
],
[
"Koechlin",
"Florent",
""
],
[
"Nicaud",
"Cyril",
""
]
] | Every language recognized by a non-deterministic finite automaton can be recognized by a deterministic automaton, at the cost of a potential increase of the number of states, which in the worst case can go from $n$ states to $2^n$ states. In this article, we investigate this classical result in a probabilistic setting ... |
2311.01815 | Jianxiong Shen | Jianxiong Shen and Ruijie Ren and Adria Ruiz and Francesc
Moreno-Noguer | Estimating 3D Uncertainty Field: Quantifying Uncertainty for Neural
Radiance Fields | null | null | null | null | cs.CV cs.RO | http://creativecommons.org/licenses/by/4.0/ | Current methods based on Neural Radiance Fields (NeRF) significantly lack the
capacity to quantify uncertainty in their predictions, particularly on the
unseen space including the occluded and outside scene content. This limitation
hinders their extensive applications in robotics, where the reliability of
model predi... | [
{
"created": "Fri, 3 Nov 2023 09:47:53 GMT",
"version": "v1"
},
{
"created": "Sun, 26 Nov 2023 03:44:36 GMT",
"version": "v2"
}
] | 2023-11-28 | [
[
"Shen",
"Jianxiong",
""
],
[
"Ren",
"Ruijie",
""
],
[
"Ruiz",
"Adria",
""
],
[
"Moreno-Noguer",
"Francesc",
""
]
] | Current methods based on Neural Radiance Fields (NeRF) significantly lack the capacity to quantify uncertainty in their predictions, particularly on the unseen space including the occluded and outside scene content. This limitation hinders their extensive applications in robotics, where the reliability of model predict... |
2208.11304 | Seongan Lim | Hyang-Sook Lee, Seongan Lim, Ikkwon Yie, Aaram Yun | On Insecure Uses of BGN for Privacy Preserving Data Aggregation
Protocols | 11 pages | Fundamenta Informaticae, Volume 188, Issue 2 (March 7, 2023)
fi:9967 | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The notion of aggregator oblivious (AO) security for privacy preserving data
aggregation was formalized with a specific construction of AO-secure blinding
technique over a cyclic group by Shi et al. Some of proposals of data
aggregation protocols use the blinding technique of Shi et al. for BGN
cryptosystem, an addit... | [
{
"created": "Wed, 24 Aug 2022 05:21:51 GMT",
"version": "v1"
},
{
"created": "Tue, 13 Dec 2022 06:48:56 GMT",
"version": "v2"
},
{
"created": "Mon, 26 Dec 2022 04:43:53 GMT",
"version": "v3"
},
{
"created": "Fri, 3 Mar 2023 00:52:27 GMT",
"version": "v4"
},
{
"cr... | 2023-06-22 | [
[
"Lee",
"Hyang-Sook",
""
],
[
"Lim",
"Seongan",
""
],
[
"Yie",
"Ikkwon",
""
],
[
"Yun",
"Aaram",
""
]
] | The notion of aggregator oblivious (AO) security for privacy preserving data aggregation was formalized with a specific construction of AO-secure blinding technique over a cyclic group by Shi et al. Some of proposals of data aggregation protocols use the blinding technique of Shi et al. for BGN cryptosystem, an additiv... |
1701.08869 | Xiaqing Pan | Xiaqing Pan, Yueru Chen, C.-C. Jay Kuo | 3D Shape Retrieval via Irrelevance Filtering and Similarity Ranking
(IF/SR) | arXiv admin note: text overlap with arXiv:1603.01942 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A novel solution for the content-based 3D shape retrieval problem using an
unsupervised clustering approach, which does not need any label information of
3D shapes, is presented in this work. The proposed shape retrieval system
consists of two modules in cascade: the irrelevance filtering (IF) module and
the similari... | [
{
"created": "Mon, 30 Jan 2017 23:04:57 GMT",
"version": "v1"
}
] | 2017-02-01 | [
[
"Pan",
"Xiaqing",
""
],
[
"Chen",
"Yueru",
""
],
[
"Kuo",
"C. -C. Jay",
""
]
] | A novel solution for the content-based 3D shape retrieval problem using an unsupervised clustering approach, which does not need any label information of 3D shapes, is presented in this work. The proposed shape retrieval system consists of two modules in cascade: the irrelevance filtering (IF) module and the similarity... |
1109.2405 | David Monniaux | David Monniaux (VERIMAG - IMAG), Julien Le Guen (VERIMAG - IMAG, ST
Microelectronics) | Stratified Static Analysis Based on Variable Dependencies | null | null | null | null | cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In static analysis by abstract interpretation, one often uses widening
operators in order to enforce convergence within finite time to an inductive
invariant. Certain widening operators, including the classical one over finite
polyhedra, exhibit an unintuitive behavior: analyzing the program over a subset
of its vari... | [
{
"created": "Mon, 12 Sep 2011 08:48:00 GMT",
"version": "v1"
}
] | 2011-09-13 | [
[
"Monniaux",
"David",
"",
"VERIMAG - IMAG"
],
[
"Guen",
"Julien Le",
"",
"VERIMAG - IMAG, ST\n Microelectronics"
]
] | In static analysis by abstract interpretation, one often uses widening operators in order to enforce convergence within finite time to an inductive invariant. Certain widening operators, including the classical one over finite polyhedra, exhibit an unintuitive behavior: analyzing the program over a subset of its variab... |
2103.06386 | Bernie Wang | Bernie Wang, Simon Xu, Kurt Keutzer, Yang Gao, Bichen Wu | Improving Context-Based Meta-Reinforcement Learning with Self-Supervised
Trajectory Contrastive Learning | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Meta-reinforcement learning typically requires orders of magnitude more
samples than single task reinforcement learning methods. This is because
meta-training needs to deal with more diverse distributions and train extra
components such as context encoders. To address this, we propose a novel
self-supervised learning... | [
{
"created": "Wed, 10 Mar 2021 23:31:19 GMT",
"version": "v1"
}
] | 2021-03-12 | [
[
"Wang",
"Bernie",
""
],
[
"Xu",
"Simon",
""
],
[
"Keutzer",
"Kurt",
""
],
[
"Gao",
"Yang",
""
],
[
"Wu",
"Bichen",
""
]
] | Meta-reinforcement learning typically requires orders of magnitude more samples than single task reinforcement learning methods. This is because meta-training needs to deal with more diverse distributions and train extra components such as context encoders. To address this, we propose a novel self-supervised learning t... |
2403.09274 | Mingyuan Sun | Mingyuan Sun, Donghao Zhang, Zongyuan Ge, Jiaxu Wang, Jia Li, Zheng
Fang and Renjing Xu | EventRPG: Event Data Augmentation with Relevance Propagation Guidance | Accepted by ICLR 2024 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Event camera, a novel bio-inspired vision sensor, has drawn a lot of
attention for its low latency, low power consumption, and high dynamic range.
Currently, overfitting remains a critical problem in event-based classification
tasks for Spiking Neural Network (SNN) due to its relatively weak spatial
representation ca... | [
{
"created": "Thu, 14 Mar 2024 10:52:45 GMT",
"version": "v1"
}
] | 2024-03-15 | [
[
"Sun",
"Mingyuan",
""
],
[
"Zhang",
"Donghao",
""
],
[
"Ge",
"Zongyuan",
""
],
[
"Wang",
"Jiaxu",
""
],
[
"Li",
"Jia",
""
],
[
"Fang",
"Zheng",
""
],
[
"Xu",
"Renjing",
""
]
] | Event camera, a novel bio-inspired vision sensor, has drawn a lot of attention for its low latency, low power consumption, and high dynamic range. Currently, overfitting remains a critical problem in event-based classification tasks for Spiking Neural Network (SNN) due to its relatively weak spatial representation capa... |
2008.11321 | Maciej Besta | Maciej Besta, Armon Carigiet, Zur Vonarburg-Shmaria, Kacper Janda,
Lukas Gianinazzi, Torsten Hoefler | High-Performance Parallel Graph Coloring with Strong Guarantees on Work,
Depth, and Quality | null | Proceedings of the ACM/IEEE International Conference on High
Performance Computing, Networking, Storage and Analysis (SC20), November 2020 | null | null | cs.DS cs.DC cs.PF | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We develop the first parallel graph coloring heuristics with strong
theoretical guarantees on work and depth and coloring quality. The key idea is
to design a relaxation of the vertex degeneracy order, a well-known graph
theory concept, and to color vertices in the order dictated by this relaxation.
This introduces a... | [
{
"created": "Wed, 26 Aug 2020 00:52:33 GMT",
"version": "v1"
},
{
"created": "Thu, 29 Oct 2020 22:56:42 GMT",
"version": "v2"
},
{
"created": "Wed, 11 Nov 2020 15:59:26 GMT",
"version": "v3"
}
] | 2020-11-12 | [
[
"Besta",
"Maciej",
""
],
[
"Carigiet",
"Armon",
""
],
[
"Vonarburg-Shmaria",
"Zur",
""
],
[
"Janda",
"Kacper",
""
],
[
"Gianinazzi",
"Lukas",
""
],
[
"Hoefler",
"Torsten",
""
]
] | We develop the first parallel graph coloring heuristics with strong theoretical guarantees on work and depth and coloring quality. The key idea is to design a relaxation of the vertex degeneracy order, a well-known graph theory concept, and to color vertices in the order dictated by this relaxation. This introduces a t... |
1604.03882 | Milind Gide | Milind S. Gide, Samuel F. Dodge, and Lina J. Karam | The Effect of Distortions on the Prediction of Visual Attention | 14 pages, 2 column, 14 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Existing saliency models have been designed and evaluated for predicting the
saliency in distortion-free images. However, in practice, the image quality is
affected by a host of factors at several stages of the image processing
pipeline such as acquisition, compression and transmission. Several studies
have explored ... | [
{
"created": "Wed, 13 Apr 2016 17:37:54 GMT",
"version": "v1"
}
] | 2016-04-14 | [
[
"Gide",
"Milind S.",
""
],
[
"Dodge",
"Samuel F.",
""
],
[
"Karam",
"Lina J.",
""
]
] | Existing saliency models have been designed and evaluated for predicting the saliency in distortion-free images. However, in practice, the image quality is affected by a host of factors at several stages of the image processing pipeline such as acquisition, compression and transmission. Several studies have explored th... |
2201.07212 | D David | David and Budi Adiperdana | Using Particle Swarm Optimization as Pathfinding Strategy in a Space
with Obstacles | null | null | null | null | cs.NE cs.AI | http://creativecommons.org/licenses/by/4.0/ | Particle swarm optimization (PSO) is a search algorithm based on stochastic
and population-based adaptive optimization. In this paper, a pathfinding
strategy is proposed to improve the efficiency of path planning for a broad
range of applications. This study aims to investigate the effect of PSO
parameters (numbers o... | [
{
"created": "Thu, 16 Dec 2021 12:16:02 GMT",
"version": "v1"
},
{
"created": "Thu, 23 Jun 2022 13:03:30 GMT",
"version": "v2"
}
] | 2022-06-24 | [
[
"David",
"",
""
],
[
"Adiperdana",
"Budi",
""
]
] | Particle swarm optimization (PSO) is a search algorithm based on stochastic and population-based adaptive optimization. In this paper, a pathfinding strategy is proposed to improve the efficiency of path planning for a broad range of applications. This study aims to investigate the effect of PSO parameters (numbers of ... |
2212.07983 | Yan-Bo Lin | Yan-Bo Lin, Yi-Lin Sung, Jie Lei, Mohit Bansal, Gedas Bertasius | Vision Transformers are Parameter-Efficient Audio-Visual Learners | CVPR 2023 Project Page: https://genjib.github.io/project_page/LAVISH/ | null | null | null | cs.CV cs.CL cs.LG cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Vision transformers (ViTs) have achieved impressive results on various
computer vision tasks in the last several years. In this work, we study the
capability of frozen ViTs, pretrained only on visual data, to generalize to
audio-visual data without finetuning any of its original parameters. To do so,
we propose a lat... | [
{
"created": "Thu, 15 Dec 2022 17:31:54 GMT",
"version": "v1"
},
{
"created": "Wed, 5 Apr 2023 17:41:12 GMT",
"version": "v2"
}
] | 2023-04-06 | [
[
"Lin",
"Yan-Bo",
""
],
[
"Sung",
"Yi-Lin",
""
],
[
"Lei",
"Jie",
""
],
[
"Bansal",
"Mohit",
""
],
[
"Bertasius",
"Gedas",
""
]
] | Vision transformers (ViTs) have achieved impressive results on various computer vision tasks in the last several years. In this work, we study the capability of frozen ViTs, pretrained only on visual data, to generalize to audio-visual data without finetuning any of its original parameters. To do so, we propose a laten... |
2009.05791 | Petar Radanliev | Petar Radanliev, David De Roure, Rob Walton, Max Van Kleek, Rafael
Mantilla Montalvo, Omar Santos, LaTreall Maddox, Stacy Cannady | COVID-19 what have we learned? The rise of social machines and connected
devices in pandemic management following the concepts of predictive,
preventive and personalised medicine | null | EPMA Journal 11, 311 332 (2020) | 10.1007/s13167-020-00218-x | null | cs.CY cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A comprehensive bibliographic review with R statistical methods of the COVID
pandemic in PubMed literature and Web of Science Core Collection, supported
with Google Scholar search. In addition, a case study review of emerging new
approaches in different regions, using medical literature, academic literature,
news art... | [
{
"created": "Sat, 12 Sep 2020 13:26:54 GMT",
"version": "v1"
},
{
"created": "Mon, 23 Nov 2020 21:26:57 GMT",
"version": "v2"
}
] | 2020-11-25 | [
[
"Radanliev",
"Petar",
""
],
[
"De Roure",
"David",
""
],
[
"Walton",
"Rob",
""
],
[
"Van Kleek",
"Max",
""
],
[
"Montalvo",
"Rafael Mantilla",
""
],
[
"Santos",
"Omar",
""
],
[
"Maddox",
"LaTreall",
""
],... | A comprehensive bibliographic review with R statistical methods of the COVID pandemic in PubMed literature and Web of Science Core Collection, supported with Google Scholar search. In addition, a case study review of emerging new approaches in different regions, using medical literature, academic literature, news artic... |
2005.13110 | Clifford Broni-Bediako | Clifford Broni-Bediako, Yuki Murata, Luiz Henrique Mormille and
Masayasu Atsumi | Evolutionary NAS with Gene Expression Programming of Cellular Encoding | Accepted at IEEE SSCI 2020 (7 pages, 3 figures) | null | null | null | cs.CV cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The renaissance of neural architecture search (NAS) has seen classical
methods such as genetic algorithms (GA) and genetic programming (GP) being
exploited for convolutional neural network (CNN) architectures. While recent
work have achieved promising performance on visual perception tasks, the direct
encoding scheme... | [
{
"created": "Wed, 27 May 2020 01:19:32 GMT",
"version": "v1"
},
{
"created": "Thu, 3 Dec 2020 15:41:20 GMT",
"version": "v2"
}
] | 2020-12-04 | [
[
"Broni-Bediako",
"Clifford",
""
],
[
"Murata",
"Yuki",
""
],
[
"Mormille",
"Luiz Henrique",
""
],
[
"Atsumi",
"Masayasu",
""
]
] | The renaissance of neural architecture search (NAS) has seen classical methods such as genetic algorithms (GA) and genetic programming (GP) being exploited for convolutional neural network (CNN) architectures. While recent work have achieved promising performance on visual perception tasks, the direct encoding scheme o... |
2406.09933 | Adham Ibrahim Ibrahim | Adham Ibrahim, Shady Shehata, Ajinkya Kulkarni, Mukhtar Mohamed,
Muhammad Abdul-Mageed | What Does it Take to Generalize SER Model Across Datasets? A
Comprehensive Benchmark | ACCEPTED AT INTERSPEECH 2024, GREECE | null | null | null | cs.SD cs.AI cs.HC cs.LG | http://creativecommons.org/licenses/by/4.0/ | Speech emotion recognition (SER) is essential for enhancing human-computer
interaction in speech-based applications. Despite improvements in specific
emotional datasets, there is still a research gap in SER's capability to
generalize across real-world situations. In this paper, we investigate
approaches to generalize... | [
{
"created": "Fri, 14 Jun 2024 11:27:19 GMT",
"version": "v1"
}
] | 2024-06-17 | [
[
"Ibrahim",
"Adham",
""
],
[
"Shehata",
"Shady",
""
],
[
"Kulkarni",
"Ajinkya",
""
],
[
"Mohamed",
"Mukhtar",
""
],
[
"Abdul-Mageed",
"Muhammad",
""
]
] | Speech emotion recognition (SER) is essential for enhancing human-computer interaction in speech-based applications. Despite improvements in specific emotional datasets, there is still a research gap in SER's capability to generalize across real-world situations. In this paper, we investigate approaches to generalize t... |
1307.6318 | Tom Hirschowitz | Tom Hirschowitz (CNRS, Universit\'e de Savoie) | Cartesian closed 2-categories and permutation equivalence in
higher-order rewriting | null | Logical Methods in Computer Science, Volume 9, Issue 3 (September
4, 2013) lmcs:1132 | 10.2168/LMCS-9(3:10)2013 | null | cs.LO cs.PL math.CT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a semantics for permutation equivalence in higher-order rewriting.
This semantics takes place in cartesian closed 2-categories, and is proved
sound and complete.
| [
{
"created": "Wed, 24 Jul 2013 07:57:09 GMT",
"version": "v1"
},
{
"created": "Mon, 2 Sep 2013 22:54:21 GMT",
"version": "v2"
},
{
"created": "Fri, 20 Sep 2013 18:58:44 GMT",
"version": "v3"
}
] | 2015-07-01 | [
[
"Hirschowitz",
"Tom",
"",
"CNRS, Université de Savoie"
]
] | We propose a semantics for permutation equivalence in higher-order rewriting. This semantics takes place in cartesian closed 2-categories, and is proved sound and complete. |
1209.1327 | Philippe Kruchten | Philippe Kruchten | The frog and the octopus: a conceptual model of software development | null | null | null | null | cs.SE | http://creativecommons.org/licenses/by-nc-sa/3.0/ | We propose a conceptual model of software development that encompasses all
approaches: traditional or agile, light and heavy, for large and small
development efforts. The model identifies both the common aspects in all
software development, i.e., elements found in some form or another in each and
every software devel... | [
{
"created": "Thu, 6 Sep 2012 16:08:34 GMT",
"version": "v1"
}
] | 2012-09-07 | [
[
"Kruchten",
"Philippe",
""
]
] | We propose a conceptual model of software development that encompasses all approaches: traditional or agile, light and heavy, for large and small development efforts. The model identifies both the common aspects in all software development, i.e., elements found in some form or another in each and every software develop... |
1812.09987 | Batya Kenig | Batya Kenig and Dan Suciu | Integrity Constraints Revisited: From Exact to Approximate Implication | null | Logical Methods in Computer Science, Volume 18, Issue 1 (January
11, 2022) lmcs:6925 | 10.46298/lmcs-18(1:5)2022 | null | cs.DB | http://creativecommons.org/licenses/by/4.0/ | Integrity constraints such as functional dependencies (FD) and multi-valued
dependencies (MVD) are fundamental in database schema design. Likewise,
probabilistic conditional independences (CI) are crucial for reasoning about
multivariate probability distributions. The implication problem studies whether
a set of cons... | [
{
"created": "Mon, 24 Dec 2018 21:43:04 GMT",
"version": "v1"
},
{
"created": "Wed, 9 Jan 2019 20:21:11 GMT",
"version": "v2"
},
{
"created": "Wed, 3 Apr 2019 22:59:43 GMT",
"version": "v3"
},
{
"created": "Sun, 22 Nov 2020 16:42:52 GMT",
"version": "v4"
},
{
"cre... | 2023-06-22 | [
[
"Kenig",
"Batya",
""
],
[
"Suciu",
"Dan",
""
]
] | Integrity constraints such as functional dependencies (FD) and multi-valued dependencies (MVD) are fundamental in database schema design. Likewise, probabilistic conditional independences (CI) are crucial for reasoning about multivariate probability distributions. The implication problem studies whether a set of constr... |
1609.01575 | Stefan Rass | Stefan Rass | On the Existence of Weak One-Way Functions | null | null | null | null | cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This note is an attempt to unconditionally prove the existence of weak one
way functions (OWF). Starting from a provably intractable decision problem
$L_D$ (whose existence is nonconstructively assured from the well-known
discrete time-hierarchy theorem from complexity theory), we construct another
intractable decisi... | [
{
"created": "Tue, 6 Sep 2016 14:35:40 GMT",
"version": "v1"
},
{
"created": "Thu, 20 Oct 2016 14:01:38 GMT",
"version": "v2"
},
{
"created": "Thu, 2 Nov 2017 14:15:57 GMT",
"version": "v3"
},
{
"created": "Tue, 18 Jul 2023 13:13:05 GMT",
"version": "v4"
}
] | 2023-07-19 | [
[
"Rass",
"Stefan",
""
]
] | This note is an attempt to unconditionally prove the existence of weak one way functions (OWF). Starting from a provably intractable decision problem $L_D$ (whose existence is nonconstructively assured from the well-known discrete time-hierarchy theorem from complexity theory), we construct another intractable decision... |
2110.02782 | Eugene Kharitonov | Eugene Kharitonov and Marco Baroni and Dieuwke Hupkes | How BPE Affects Memorization in Transformers | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Training data memorization in NLP can both be beneficial (e.g., closed-book
QA) and undesirable (personal data extraction). In any case, successful model
training requires a non-trivial amount of memorization to store word spellings,
various linguistic idiosyncrasies and common knowledge. However, little is
known abo... | [
{
"created": "Wed, 6 Oct 2021 14:01:56 GMT",
"version": "v1"
},
{
"created": "Thu, 2 Dec 2021 09:54:05 GMT",
"version": "v2"
}
] | 2021-12-03 | [
[
"Kharitonov",
"Eugene",
""
],
[
"Baroni",
"Marco",
""
],
[
"Hupkes",
"Dieuwke",
""
]
] | Training data memorization in NLP can both be beneficial (e.g., closed-book QA) and undesirable (personal data extraction). In any case, successful model training requires a non-trivial amount of memorization to store word spellings, various linguistic idiosyncrasies and common knowledge. However, little is known about... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.