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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2004.08366 | Yun Zeng | Yun Zeng, Siqi Zuo, Dongcai Shen | DynamicEmbedding: Extending TensorFlow for Colossal-Scale Applications | null | null | null | null | cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | One of the limitations of deep learning models with sparse features today
stems from the predefined nature of their input, which requires a dictionary be
defined prior to the training. With this paper we propose both a theory and a
working system design which remove this limitation, and show that the resulting
models... | [
{
"created": "Fri, 17 Apr 2020 17:43:51 GMT",
"version": "v1"
}
] | 2020-04-20 | [
[
"Zeng",
"Yun",
""
],
[
"Zuo",
"Siqi",
""
],
[
"Shen",
"Dongcai",
""
]
] | One of the limitations of deep learning models with sparse features today stems from the predefined nature of their input, which requires a dictionary be defined prior to the training. With this paper we propose both a theory and a working system design which remove this limitation, and show that the resulting models a... |
2208.12940 | Fan Yang | Fan Yang, Norimichi Ukita, Sakriani Sakti, Satoshi Nakamura | Actor-identified Spatiotemporal Action Detection -- Detecting Who Is
Doing What in Videos | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The success of deep learning on video Action Recognition (AR) has motivated
researchers to progressively promote related tasks from the coarse level to the
fine-grained level. Compared with conventional AR which only predicts an action
label for the entire video, Temporal Action Detection (TAD) has been
investigated ... | [
{
"created": "Sat, 27 Aug 2022 06:51:12 GMT",
"version": "v1"
},
{
"created": "Wed, 7 Sep 2022 12:37:05 GMT",
"version": "v2"
}
] | 2022-09-08 | [
[
"Yang",
"Fan",
""
],
[
"Ukita",
"Norimichi",
""
],
[
"Sakti",
"Sakriani",
""
],
[
"Nakamura",
"Satoshi",
""
]
] | The success of deep learning on video Action Recognition (AR) has motivated researchers to progressively promote related tasks from the coarse level to the fine-grained level. Compared with conventional AR which only predicts an action label for the entire video, Temporal Action Detection (TAD) has been investigated fo... |
2110.15350 | Aurelia Bustos | Aurelia Bustos (1), Artemio Pay\'a (2 and 3), Andres Torrubia (1),
Rodrigo Jover (2 and 3), Xavier Llor (4), Xavier Bessa (5), Antoni Castells
(6), Cristina Alenda (2 and 3) ((1) AI Cancer Research Unit Medbravo, (2)
Alicante University General Hospital, Spain, (3) Alicante Institute for
Health and Biomedical R... | XDEEP-MSI: Explainable Bias-Rejecting Microsatellite Instability Deep
Learning System In Colorectal Cancer | 16 pages, 8 figures | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | We present a system for the prediction of microsatellite instability (MSI)
from H&E images of colorectal cancer using deep learning (DL) techniques
customized for tissue microarrays (TMAs). The system incorporates an end-to-end
image preprocessing module that produces tiles at multiple magnifications in
the regions o... | [
{
"created": "Thu, 28 Oct 2021 17:58:01 GMT",
"version": "v1"
}
] | 2021-10-29 | [
[
"Bustos",
"Aurelia",
"",
"2 and 3"
],
[
"Payá",
"Artemio",
"",
"2 and 3"
],
[
"Torrubia",
"Andres",
"",
"2 and 3"
],
[
"Jover",
"Rodrigo",
"",
"2 and 3"
],
[
"Llor",
"Xavier",
"",
"2 and 3"
],
[
"Bessa",
"X... | We present a system for the prediction of microsatellite instability (MSI) from H&E images of colorectal cancer using deep learning (DL) techniques customized for tissue microarrays (TMAs). The system incorporates an end-to-end image preprocessing module that produces tiles at multiple magnifications in the regions of ... |
2004.08830 | Muhammad Burhan Hafez | Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan
Wermter | Improving Robot Dual-System Motor Learning with Intrinsically Motivated
Meta-Control and Latent-Space Experience Imagination | null | Robotics and Autonomous Systems 133 (2020) 103630 | 10.1016/j.robot.2020.103630 | null | cs.LG cs.AI cs.RO stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Combining model-based and model-free learning systems has been shown to
improve the sample efficiency of learning to perform complex robotic tasks.
However, dual-system approaches fail to consider the reliability of the learned
model when it is applied to make multiple-step predictions, resulting in a
compounding of ... | [
{
"created": "Sun, 19 Apr 2020 12:14:46 GMT",
"version": "v1"
},
{
"created": "Wed, 19 Aug 2020 16:03:29 GMT",
"version": "v2"
},
{
"created": "Sun, 1 Nov 2020 09:12:31 GMT",
"version": "v3"
}
] | 2020-11-03 | [
[
"Hafez",
"Muhammad Burhan",
""
],
[
"Weber",
"Cornelius",
""
],
[
"Kerzel",
"Matthias",
""
],
[
"Wermter",
"Stefan",
""
]
] | Combining model-based and model-free learning systems has been shown to improve the sample efficiency of learning to perform complex robotic tasks. However, dual-system approaches fail to consider the reliability of the learned model when it is applied to make multiple-step predictions, resulting in a compounding of pr... |
1712.07143 | Le Liang | Hao Ye, Le Liang, Geoffrey Ye Li, JoonBeom Kim, Lu Lu, May Wu | Machine Learning for Vehicular Networks | Accepted by IEEE Vehicular Technology Magazine | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The emerging vehicular networks are expected to make everyday vehicular
operation safer, greener, and more efficient, and pave the path to autonomous
driving in the advent of the fifth generation (5G) cellular system. Machine
learning, as a major branch of artificial intelligence, has been recently
applied to wireles... | [
{
"created": "Tue, 19 Dec 2017 19:03:41 GMT",
"version": "v1"
},
{
"created": "Mon, 26 Feb 2018 21:25:44 GMT",
"version": "v2"
}
] | 2018-02-28 | [
[
"Ye",
"Hao",
""
],
[
"Liang",
"Le",
""
],
[
"Li",
"Geoffrey Ye",
""
],
[
"Kim",
"JoonBeom",
""
],
[
"Lu",
"Lu",
""
],
[
"Wu",
"May",
""
]
] | The emerging vehicular networks are expected to make everyday vehicular operation safer, greener, and more efficient, and pave the path to autonomous driving in the advent of the fifth generation (5G) cellular system. Machine learning, as a major branch of artificial intelligence, has been recently applied to wireless ... |
2204.07096 | Ho\`ang-\^An L\^e | Anne Achieng Osio, Ho\`ang-\^An L\^e, Samson Ayugi, Fred Onyango,
Peter Odwe, S\'ebastien Lef\`evre | Detection of Degraded Acacia tree species using deep neural networks on
uav drone imagery | Accepted for publication in the ISPRS Annals of the Photogrammetry,
Remote Sensing and Spatial Information Sciences (online from July 2022) | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Deep-learning-based image classification and object detection has been
applied successfully to tree monitoring. However, studies of tree crowns and
fallen trees, especially on flood inundated areas, remain largely unexplored.
Detection of degraded tree trunks on natural environments such as water,
mudflats, and natur... | [
{
"created": "Thu, 14 Apr 2022 16:37:26 GMT",
"version": "v1"
}
] | 2022-04-15 | [
[
"Osio",
"Anne Achieng",
""
],
[
"Lê",
"Hoàng-Ân",
""
],
[
"Ayugi",
"Samson",
""
],
[
"Onyango",
"Fred",
""
],
[
"Odwe",
"Peter",
""
],
[
"Lefèvre",
"Sébastien",
""
]
] | Deep-learning-based image classification and object detection has been applied successfully to tree monitoring. However, studies of tree crowns and fallen trees, especially on flood inundated areas, remain largely unexplored. Detection of degraded tree trunks on natural environments such as water, mudflats, and natural... |
2303.05487 | Jiayuan Mao | Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tom\'as Lozano-P\'erez, Joshua
B. Tenenbaum, Leslie Pack Kaelbling | Learning Rational Subgoals from Demonstrations and Instructions | AAAI 2023. First two authors contributed equally. Project page:
https://rsg.csail.mit.edu | null | null | null | cs.AI cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a framework for learning useful subgoals that support efficient
long-term planning to achieve novel goals. At the core of our framework is a
collection of rational subgoals (RSGs), which are essentially binary
classifiers over the environmental states. RSGs can be learned from
weakly-annotated data, in the... | [
{
"created": "Thu, 9 Mar 2023 18:39:22 GMT",
"version": "v1"
}
] | 2023-03-10 | [
[
"Luo",
"Zhezheng",
""
],
[
"Mao",
"Jiayuan",
""
],
[
"Wu",
"Jiajun",
""
],
[
"Lozano-Pérez",
"Tomás",
""
],
[
"Tenenbaum",
"Joshua B.",
""
],
[
"Kaelbling",
"Leslie Pack",
""
]
] | We present a framework for learning useful subgoals that support efficient long-term planning to achieve novel goals. At the core of our framework is a collection of rational subgoals (RSGs), which are essentially binary classifiers over the environmental states. RSGs can be learned from weakly-annotated data, in the f... |
2308.15546 | Tanmay Inamdar | Fedor V. Fomin, Petr A. Golovach, Tanmay Inamdar, Tomohiro Koana | FPT Approximation and Subexponential Algorithms for Covering Few or Many
Edges | Updated version of MFCS 2023 paper | null | null | null | cs.DS | http://creativecommons.org/licenses/by/4.0/ | We study the \textsc{$\alpha$-Fixed Cardinality Graph Partitioning
($\alpha$-FCGP)} problem, the generic local graph partitioning problem
introduced by Bonnet et al. [Algorithmica 2015]. In this problem, we are given
a graph $G$, two numbers $k,p$ and $0\leq\alpha\leq 1$, the question is whether
there is a set $S\sub... | [
{
"created": "Tue, 29 Aug 2023 18:11:03 GMT",
"version": "v1"
}
] | 2023-08-31 | [
[
"Fomin",
"Fedor V.",
""
],
[
"Golovach",
"Petr A.",
""
],
[
"Inamdar",
"Tanmay",
""
],
[
"Koana",
"Tomohiro",
""
]
] | We study the \textsc{$\alpha$-Fixed Cardinality Graph Partitioning ($\alpha$-FCGP)} problem, the generic local graph partitioning problem introduced by Bonnet et al. [Algorithmica 2015]. In this problem, we are given a graph $G$, two numbers $k,p$ and $0\leq\alpha\leq 1$, the question is whether there is a set $S\subse... |
1203.3501 | Sebastian Ordyniak | Sebastian Ordyniak, Stefan Szeider | Algorithms and Complexity Results for Exact Bayesian Structure Learning | Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty
in Artificial Intelligence (UAI2010) | null | null | UAI-P-2010-PG-401-408 | cs.LG cs.DS stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Bayesian structure learning is the NP-hard problem of discovering a Bayesian
network that optimally represents a given set of training data. In this paper
we study the computational worst-case complexity of exact Bayesian structure
learning under graph theoretic restrictions on the super-structure. The
super-structur... | [
{
"created": "Thu, 15 Mar 2012 11:17:56 GMT",
"version": "v1"
}
] | 2012-03-19 | [
[
"Ordyniak",
"Sebastian",
""
],
[
"Szeider",
"Stefan",
""
]
] | Bayesian structure learning is the NP-hard problem of discovering a Bayesian network that optimally represents a given set of training data. In this paper we study the computational worst-case complexity of exact Bayesian structure learning under graph theoretic restrictions on the super-structure. The super-structure ... |
1904.07957 | Robert Krauthgamer | Robert Krauthgamer and David Reitblat | Almost-Smooth Histograms and Sliding-Window Graph Algorithms | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study algorithms for the sliding-window model, an important variant of the
data-stream model, in which the goal is to compute some function of a
fixed-length suffix of the stream. We extend the smooth-histogram framework of
Braverman and Ostrovsky (FOCS 2007) to almost-smooth functions, which includes
all subaddit... | [
{
"created": "Tue, 16 Apr 2019 20:16:49 GMT",
"version": "v1"
},
{
"created": "Mon, 20 Jul 2020 21:10:22 GMT",
"version": "v2"
},
{
"created": "Tue, 24 May 2022 19:48:51 GMT",
"version": "v3"
}
] | 2022-05-26 | [
[
"Krauthgamer",
"Robert",
""
],
[
"Reitblat",
"David",
""
]
] | We study algorithms for the sliding-window model, an important variant of the data-stream model, in which the goal is to compute some function of a fixed-length suffix of the stream. We extend the smooth-histogram framework of Braverman and Ostrovsky (FOCS 2007) to almost-smooth functions, which includes all subadditiv... |
2205.14661 | Guangji Chen | Guangji Chen and Qingqing Wu | IRS Aided MEC Systems with Binary Offloading: A Unified Framework for
Dynamic IRS Beamforming | null | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we develop a unified dynamic intelligent reflecting surface
(IRS) beamforming framework to boost the sum computation rate of an IRS-aided
mobile edge computing (MEC) system, where each device follows a binary
offloading policy. Specifically, the task of each device has to be either
executed locally or ... | [
{
"created": "Sun, 29 May 2022 13:41:45 GMT",
"version": "v1"
}
] | 2022-06-01 | [
[
"Chen",
"Guangji",
""
],
[
"Wu",
"Qingqing",
""
]
] | In this paper, we develop a unified dynamic intelligent reflecting surface (IRS) beamforming framework to boost the sum computation rate of an IRS-aided mobile edge computing (MEC) system, where each device follows a binary offloading policy. Specifically, the task of each device has to be either executed locally or of... |
1506.03184 | Cong Yao | Xinyu Zhou and Shuchang Zhou and Cong Yao and Zhimin Cao and Qi Yin | ICDAR 2015 Text Reading in the Wild Competition | 3 pages, 2 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, text detection and recognition in natural scenes are becoming
increasing popular in the computer vision community as well as the document
analysis community. However, majority of the existing ideas, algorithms and
systems are specifically designed for English. This technical report presents
the final result... | [
{
"created": "Wed, 10 Jun 2015 06:46:55 GMT",
"version": "v1"
}
] | 2015-06-11 | [
[
"Zhou",
"Xinyu",
""
],
[
"Zhou",
"Shuchang",
""
],
[
"Yao",
"Cong",
""
],
[
"Cao",
"Zhimin",
""
],
[
"Yin",
"Qi",
""
]
] | Recently, text detection and recognition in natural scenes are becoming increasing popular in the computer vision community as well as the document analysis community. However, majority of the existing ideas, algorithms and systems are specifically designed for English. This technical report presents the final results ... |
2201.01929 | Dongnan Liu | Dongnan Liu, Chaoyi Zhang, Yang Song, Heng Huang, Chenyu Wang, Michael
Barnett, Weidong Cai | Decompose to Adapt: Cross-domain Object Detection via Feature
Disentanglement | Accepted to appear in IEEE Transactions on Multimedia; source code:
https://github.com/dliu5812/DDF | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Recent advances in unsupervised domain adaptation (UDA) techniques have
witnessed great success in cross-domain computer vision tasks, enhancing the
generalization ability of data-driven deep learning architectures by bridging
the domain distribution gaps. For the UDA-based cross-domain object detection
methods, the ... | [
{
"created": "Thu, 6 Jan 2022 05:43:01 GMT",
"version": "v1"
}
] | 2022-01-07 | [
[
"Liu",
"Dongnan",
""
],
[
"Zhang",
"Chaoyi",
""
],
[
"Song",
"Yang",
""
],
[
"Huang",
"Heng",
""
],
[
"Wang",
"Chenyu",
""
],
[
"Barnett",
"Michael",
""
],
[
"Cai",
"Weidong",
""
]
] | Recent advances in unsupervised domain adaptation (UDA) techniques have witnessed great success in cross-domain computer vision tasks, enhancing the generalization ability of data-driven deep learning architectures by bridging the domain distribution gaps. For the UDA-based cross-domain object detection methods, the ma... |
2408.02439 | Alena Fenogenova Ms | Igor Churin, Murat Apishev, Maria Tikhonova, Denis Shevelev, Aydar
Bulatov, Yuri Kuratov, Sergej Averkiev, Alena Fenogenova | Long Input Benchmark for Russian Analysis | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Recent advancements in Natural Language Processing (NLP) have fostered the
development of Large Language Models (LLMs) that can solve an immense variety
of tasks. One of the key aspects of their application is their ability to work
with long text documents and to process long sequences of tokens. This has
created a d... | [
{
"created": "Mon, 5 Aug 2024 12:59:35 GMT",
"version": "v1"
}
] | 2024-08-06 | [
[
"Churin",
"Igor",
""
],
[
"Apishev",
"Murat",
""
],
[
"Tikhonova",
"Maria",
""
],
[
"Shevelev",
"Denis",
""
],
[
"Bulatov",
"Aydar",
""
],
[
"Kuratov",
"Yuri",
""
],
[
"Averkiev",
"Sergej",
""
],
[
... | Recent advancements in Natural Language Processing (NLP) have fostered the development of Large Language Models (LLMs) that can solve an immense variety of tasks. One of the key aspects of their application is their ability to work with long text documents and to process long sequences of tokens. This has created a dem... |
1805.09408 | Iv\'an Ram\'irez D\'iaz | Iv\'an Ram\'irez, Gonzalo Galiano and Emanuele Schiavi | Non-convex non-local flows for saliency detection | null | null | null | null | cs.CV math.NA | http://creativecommons.org/licenses/by/4.0/ | We propose and numerically solve a new variational model for automatic
saliency detection in digital images. Using a non-local framework we consider a
family of edge preserving functions combined with a new quadratic saliency
detection term. Such term defines a constrained bilateral obstacle problem for
image classif... | [
{
"created": "Wed, 23 May 2018 20:03:06 GMT",
"version": "v1"
}
] | 2018-05-25 | [
[
"Ramírez",
"Iván",
""
],
[
"Galiano",
"Gonzalo",
""
],
[
"Schiavi",
"Emanuele",
""
]
] | We propose and numerically solve a new variational model for automatic saliency detection in digital images. Using a non-local framework we consider a family of edge preserving functions combined with a new quadratic saliency detection term. Such term defines a constrained bilateral obstacle problem for image classific... |
1812.00263 | Varun Chandrasekaran | Varun Chandrasekaran, Suman Banerjee, Bilge Mutlu, Kassem Fawaz | PowerCut and Obfuscator: An Exploration of the Design Space for
Privacy-Preserving Interventions for Voice Assistants | null | null | null | null | cs.HC cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The pervasive use of smart speakers has raised numerous privacy concerns.
While work to date provides an understanding of user perceptions of these
threats, limited research focuses on how we can mitigate these concerns, either
through redesigning the smart speaker or through dedicated privacy-preserving
intervention... | [
{
"created": "Sat, 1 Dec 2018 21:04:04 GMT",
"version": "v1"
},
{
"created": "Wed, 20 Nov 2019 12:02:43 GMT",
"version": "v2"
},
{
"created": "Mon, 31 May 2021 18:58:02 GMT",
"version": "v3"
},
{
"created": "Wed, 9 Jun 2021 18:24:53 GMT",
"version": "v4"
}
] | 2021-06-11 | [
[
"Chandrasekaran",
"Varun",
""
],
[
"Banerjee",
"Suman",
""
],
[
"Mutlu",
"Bilge",
""
],
[
"Fawaz",
"Kassem",
""
]
] | The pervasive use of smart speakers has raised numerous privacy concerns. While work to date provides an understanding of user perceptions of these threats, limited research focuses on how we can mitigate these concerns, either through redesigning the smart speaker or through dedicated privacy-preserving interventions.... |
2304.14364 | Varun Nair | Albert Yu Sun, Varun Nair, Elliot Schumacher, Anitha Kannan | CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to
Guardrail Models for Virtual Assistants | To appear in NAACL 2024 | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | A wave of new task-based virtual assistants has been fueled by increasingly
powerful large language models (LLMs), such as GPT-4 (OpenAI, 2023). A major
challenge in deploying LLM-based virtual conversational assistants in real
world settings is ensuring they operate within what is admissible for the task.
To overcom... | [
{
"created": "Thu, 27 Apr 2023 17:39:11 GMT",
"version": "v1"
},
{
"created": "Wed, 3 Apr 2024 23:57:12 GMT",
"version": "v2"
}
] | 2024-04-05 | [
[
"Sun",
"Albert Yu",
""
],
[
"Nair",
"Varun",
""
],
[
"Schumacher",
"Elliot",
""
],
[
"Kannan",
"Anitha",
""
]
] | A wave of new task-based virtual assistants has been fueled by increasingly powerful large language models (LLMs), such as GPT-4 (OpenAI, 2023). A major challenge in deploying LLM-based virtual conversational assistants in real world settings is ensuring they operate within what is admissible for the task. To overcome ... |
1701.03666 | Jimmy Nielsen | Jimmy J. Nielsen, Herv\'e Ganem, Ljupco Jorguseski, Kemal Alic, Miha
Smolnikar, Ziming Zhu, Nuno K. Pratas, Michal Golinski, Haibin Zhang, Urban
Kuhar, Zhong Fan, Ales Svigelj | Secure Real-Time Monitoring and Management of Smart Distribution Grid
using Shared Cellular Networks | Accepted for publication in IEEE Wireless Communications Magazine,
special issue on Smart Grids, to be published April 2017 | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The electricity production and distribution is facing two major changes.
First, the production is shifting from classical energy sources such as coal
and nuclear power towards renewable resources such as solar and wind. Secondly,
the consumption in the low voltage grid is expected to grow significantly due
to expecte... | [
{
"created": "Fri, 13 Jan 2017 13:45:25 GMT",
"version": "v1"
}
] | 2017-01-16 | [
[
"Nielsen",
"Jimmy J.",
""
],
[
"Ganem",
"Hervé",
""
],
[
"Jorguseski",
"Ljupco",
""
],
[
"Alic",
"Kemal",
""
],
[
"Smolnikar",
"Miha",
""
],
[
"Zhu",
"Ziming",
""
],
[
"Pratas",
"Nuno K.",
""
],
[
"... | The electricity production and distribution is facing two major changes. First, the production is shifting from classical energy sources such as coal and nuclear power towards renewable resources such as solar and wind. Secondly, the consumption in the low voltage grid is expected to grow significantly due to expected ... |
1804.07757 | Shuangtao Li | Shuangtao Li, Yuanke Chen, Yanlin Peng, Lin Bai | Learning More Robust Features with Adversarial Training | null | null | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, it has been found that neural networks can be easily fooled
by adversarial examples, which is a potential safety hazard in some
safety-critical applications. Many researchers have proposed various method to
make neural networks more robust to white-box adversarial attacks, but an
effective method hav... | [
{
"created": "Fri, 20 Apr 2018 05:07:14 GMT",
"version": "v1"
}
] | 2018-04-24 | [
[
"Li",
"Shuangtao",
""
],
[
"Chen",
"Yuanke",
""
],
[
"Peng",
"Yanlin",
""
],
[
"Bai",
"Lin",
""
]
] | In recent years, it has been found that neural networks can be easily fooled by adversarial examples, which is a potential safety hazard in some safety-critical applications. Many researchers have proposed various method to make neural networks more robust to white-box adversarial attacks, but an effective method have ... |
2008.04424 | Miguel Angel Pi\~na Avelino | Armando Casta\~neda and Miguel Pi\~na | Fully Read/Write Fence-Free Work-Stealing with Multiplicity | null | null | null | null | cs.DC | http://creativecommons.org/licenses/by/4.0/ | Work-stealing is a popular technique to implement dynamic load balancing in a
distributed manner. In this approach, each process owns a set of tasks that
have to be executed. The owner of the set can put tasks in it and can take
tasks from it to execute them. When a process runs out of tasks, instead of
being idle, i... | [
{
"created": "Mon, 10 Aug 2020 21:30:33 GMT",
"version": "v1"
},
{
"created": "Mon, 22 Feb 2021 18:45:33 GMT",
"version": "v2"
}
] | 2021-02-23 | [
[
"Castañeda",
"Armando",
""
],
[
"Piña",
"Miguel",
""
]
] | Work-stealing is a popular technique to implement dynamic load balancing in a distributed manner. In this approach, each process owns a set of tasks that have to be executed. The owner of the set can put tasks in it and can take tasks from it to execute them. When a process runs out of tasks, instead of being idle, it ... |
2403.11461 | Weiyao Wang | Weiyao Wang, Yutian Lei, Shiyu Jin, Gregory D. Hager and Liangjun
Zhang | VIHE: Virtual In-Hand Eye Transformer for 3D Robotic Manipulation | null | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | In this work, we introduce the Virtual In-Hand Eye Transformer (VIHE), a
novel method designed to enhance 3D manipulation capabilities through
action-aware view rendering. VIHE autoregressively refines actions in multiple
stages by conditioning on rendered views posed from action predictions in the
earlier stages. Th... | [
{
"created": "Mon, 18 Mar 2024 04:26:52 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Mar 2024 03:32:15 GMT",
"version": "v2"
}
] | 2024-03-20 | [
[
"Wang",
"Weiyao",
""
],
[
"Lei",
"Yutian",
""
],
[
"Jin",
"Shiyu",
""
],
[
"Hager",
"Gregory D.",
""
],
[
"Zhang",
"Liangjun",
""
]
] | In this work, we introduce the Virtual In-Hand Eye Transformer (VIHE), a novel method designed to enhance 3D manipulation capabilities through action-aware view rendering. VIHE autoregressively refines actions in multiple stages by conditioning on rendered views posed from action predictions in the earlier stages. Thes... |
1907.12214 | Christoph Treude | Matthew Kelly, Christoph Treude, Alex Murray | A Case Study on Automated Fuzz Target Generation for Large Codebases | to appear as industry track paper at ESEM 2019, the 13th
International Symposium on Empirical Software Engineering and Measurement | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Fuzz Testing is a largely automated testing technique that provides random
and unexpected input to a program in attempt to trigger failure conditions.
Much of the research conducted thus far into Fuzz Testing has focused on
developing improvements to available Fuzz Testing tools and frameworks in order
to improve eff... | [
{
"created": "Mon, 29 Jul 2019 05:03:38 GMT",
"version": "v1"
}
] | 2019-07-30 | [
[
"Kelly",
"Matthew",
""
],
[
"Treude",
"Christoph",
""
],
[
"Murray",
"Alex",
""
]
] | Fuzz Testing is a largely automated testing technique that provides random and unexpected input to a program in attempt to trigger failure conditions. Much of the research conducted thus far into Fuzz Testing has focused on developing improvements to available Fuzz Testing tools and frameworks in order to improve effic... |
2406.11255 | Silvery Fu | Silvery D. Fu, David Wang, Wen Zhang, Kathleen Ge | Liberal Entity Matching as a Compound AI Toolchain | 2 pages, compound ai systems 2024 | null | null | null | cs.DB cs.AI cs.SE | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Entity matching (EM), the task of identifying whether two descriptions refer
to the same entity, is essential in data management. Traditional methods have
evolved from rule-based to AI-driven approaches, yet current techniques using
large language models (LLMs) often fall short due to their reliance on static
knowled... | [
{
"created": "Mon, 17 Jun 2024 06:33:34 GMT",
"version": "v1"
}
] | 2024-06-18 | [
[
"Fu",
"Silvery D.",
""
],
[
"Wang",
"David",
""
],
[
"Zhang",
"Wen",
""
],
[
"Ge",
"Kathleen",
""
]
] | Entity matching (EM), the task of identifying whether two descriptions refer to the same entity, is essential in data management. Traditional methods have evolved from rule-based to AI-driven approaches, yet current techniques using large language models (LLMs) often fall short due to their reliance on static knowledge... |
1910.11204 | Yue Zhang | Yue Zhang, Rui Wang, Luo Si | Syntax-Enhanced Self-Attention-Based Semantic Role Labeling | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As a fundamental NLP task, semantic role labeling (SRL) aims to discover the
semantic roles for each predicate within one sentence. This paper investigates
how to incorporate syntactic knowledge into the SRL task effectively. We
present different approaches of encoding the syntactic information derived from
dependenc... | [
{
"created": "Thu, 24 Oct 2019 15:05:01 GMT",
"version": "v1"
}
] | 2019-10-25 | [
[
"Zhang",
"Yue",
""
],
[
"Wang",
"Rui",
""
],
[
"Si",
"Luo",
""
]
] | As a fundamental NLP task, semantic role labeling (SRL) aims to discover the semantic roles for each predicate within one sentence. This paper investigates how to incorporate syntactic knowledge into the SRL task effectively. We present different approaches of encoding the syntactic information derived from dependency ... |
1610.09058 | Riley Murray | Riley Murray and Samir Khuller and Megan Chao | Scheduling Distributed Clusters of Parallel Machines: Primal-Dual and
LP-based Approximation Algorithms [Full Version] | A shorter version of this paper (one that omitted several proofs)
appeared in the proceedings of the 2016 European Symposium on Algorithms | Leibniz International Proceedings in Informatics (LIPIcs), Volume
58, 2016, pages 68:1--68:17 | 10.4230/LIPIcs.ESA.2016.68 | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Map-Reduce computing framework rose to prominence with datasets of such
size that dozens of machines on a single cluster were needed for individual
jobs. As datasets approach the exabyte scale, a single job may need distributed
processing not only on multiple machines, but on multiple clusters. We consider
a sche... | [
{
"created": "Fri, 28 Oct 2016 02:14:25 GMT",
"version": "v1"
}
] | 2016-10-31 | [
[
"Murray",
"Riley",
""
],
[
"Khuller",
"Samir",
""
],
[
"Chao",
"Megan",
""
]
] | The Map-Reduce computing framework rose to prominence with datasets of such size that dozens of machines on a single cluster were needed for individual jobs. As datasets approach the exabyte scale, a single job may need distributed processing not only on multiple machines, but on multiple clusters. We consider a schedu... |
2309.12022 | Chandranath Adak | Utsav Kumar Nareti, Chandranath Adak, Soumi Chattopadhyay | Demystifying Visual Features of Movie Posters for Multi-Label Genre
Identification | null | null | null | null | cs.AI cs.CV | http://creativecommons.org/licenses/by/4.0/ | In the film industry, movie posters have been an essential part of
advertising and marketing for many decades, and continue to play a vital role
even today in the form of digital posters through online, social media and OTT
platforms. Typically, movie posters can effectively promote and communicate the
essence of a f... | [
{
"created": "Thu, 21 Sep 2023 12:39:36 GMT",
"version": "v1"
}
] | 2023-09-22 | [
[
"Nareti",
"Utsav Kumar",
""
],
[
"Adak",
"Chandranath",
""
],
[
"Chattopadhyay",
"Soumi",
""
]
] | In the film industry, movie posters have been an essential part of advertising and marketing for many decades, and continue to play a vital role even today in the form of digital posters through online, social media and OTT platforms. Typically, movie posters can effectively promote and communicate the essence of a fil... |
1905.06314 | Inaik Yoon | Insik Yoon, Aqeel Anwar, Titash Rakshit, Arijit Raychowdhury | Transfer and Online Reinforcement Learning in STT-MRAM Based Embedded
Systems for Autonomous Drones | null | null | null | null | cs.OH cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we present an algorithm-hardware codesign for camera-based
autonomous flight in small drones. We show that the large write-latency and
write-energy for nonvolatile memory (NVM) based embedded systems makes them
unsuitable for real-time reinforcement learning (RL). We address this by
performing transfer ... | [
{
"created": "Mon, 22 Apr 2019 00:18:09 GMT",
"version": "v1"
}
] | 2019-05-16 | [
[
"Yoon",
"Insik",
""
],
[
"Anwar",
"Aqeel",
""
],
[
"Rakshit",
"Titash",
""
],
[
"Raychowdhury",
"Arijit",
""
]
] | In this paper we present an algorithm-hardware codesign for camera-based autonomous flight in small drones. We show that the large write-latency and write-energy for nonvolatile memory (NVM) based embedded systems makes them unsuitable for real-time reinforcement learning (RL). We address this by performing transfer le... |
1907.11375 | Pei Yan | Pei Yan, Yihua Tan, Yuan Xiao, Yuan Tai, Cai Wen | Unsupervised Learning Framework of Interest Point Via Properties
Optimization | 16 pages, 6 figures, 5 tables | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents an entirely unsupervised interest point training
framework by jointly learning detector and descriptor, which takes an image as
input and outputs a probability and a description for every image point. The
objective of the training framework is formulated as joint probability
distribution of the pr... | [
{
"created": "Fri, 26 Jul 2019 03:31:27 GMT",
"version": "v1"
}
] | 2019-07-29 | [
[
"Yan",
"Pei",
""
],
[
"Tan",
"Yihua",
""
],
[
"Xiao",
"Yuan",
""
],
[
"Tai",
"Yuan",
""
],
[
"Wen",
"Cai",
""
]
] | This paper presents an entirely unsupervised interest point training framework by jointly learning detector and descriptor, which takes an image as input and outputs a probability and a description for every image point. The objective of the training framework is formulated as joint probability distribution of the prop... |
1808.01123 | Yulong Liu | Wei Cui, Xu Zhang, and Yulong Liu | Covariance Matrix Estimation from Linearly-Correlated Gaussian Samples | 8 pages, 3 figure,a typo in Figure 3 is fixed | IEEE Transactions on Signal Processing, vol. 67, no. 8, April 15,
2019 | 10.1109/TSP.2019.2903019 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Covariance matrix estimation concerns the problem of estimating the
covariance matrix from a collection of samples, which is of extreme importance
in many applications. Classical results have shown that $O(n)$ samples are
sufficient to accurately estimate the covariance matrix from $n$-dimensional
independent Gaussia... | [
{
"created": "Fri, 3 Aug 2018 09:02:17 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Mar 2019 01:13:54 GMT",
"version": "v2"
}
] | 2019-03-19 | [
[
"Cui",
"Wei",
""
],
[
"Zhang",
"Xu",
""
],
[
"Liu",
"Yulong",
""
]
] | Covariance matrix estimation concerns the problem of estimating the covariance matrix from a collection of samples, which is of extreme importance in many applications. Classical results have shown that $O(n)$ samples are sufficient to accurately estimate the covariance matrix from $n$-dimensional independent Gaussian ... |
1902.11102 | Vidit Saxena | Vidit Saxena, Joseph E. Gonzalez, Ion Stoica, Hugo Tullberg, and
Joakim Jald\'en | Constrained Thompson Sampling for Wireless Link Optimization | 11 pages, 2 figures. Revised version containing theoretical
performance bounds | null | null | null | cs.LG cs.NI stat.ML | http://creativecommons.org/licenses/by-sa/4.0/ | Wireless communication systems operate in complex time-varying environments.
Therefore, selecting the optimal configuration parameters in these systems is a
challenging problem. For wireless links, \emph{rate selection} is used to
select the optimal data transmission rate that maximizes the link throughput
subject to... | [
{
"created": "Thu, 28 Feb 2019 14:36:28 GMT",
"version": "v1"
},
{
"created": "Sat, 18 Apr 2020 23:05:59 GMT",
"version": "v2"
}
] | 2020-04-21 | [
[
"Saxena",
"Vidit",
""
],
[
"Gonzalez",
"Joseph E.",
""
],
[
"Stoica",
"Ion",
""
],
[
"Tullberg",
"Hugo",
""
],
[
"Jaldén",
"Joakim",
""
]
] | Wireless communication systems operate in complex time-varying environments. Therefore, selecting the optimal configuration parameters in these systems is a challenging problem. For wireless links, \emph{rate selection} is used to select the optimal data transmission rate that maximizes the link throughput subject to a... |
1401.3325 | Arno Pauly | St\'ephane Le Roux and Arno Pauly | Equilibria in multi-player multi-outcome infinite sequential games | Section 8 of Version 1 is no longer part of the article, and will in
time be made available elsewhere; Section 7 of Version 2 has been expanded
into http://arxiv.org/abs/1602.08912 | null | null | null | cs.LO cs.GT math.GN | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We investigate the existence of certain types of equilibria (Nash,
$\varepsilon$-Nash, subgame perfect, $\varepsilon$-subgame perfect,
Pareto-optimal) in multi-player multi-outcome infinite sequential games. We use
two fundamental approaches: one requires strong topological restrictions on the
games, but produces ver... | [
{
"created": "Tue, 14 Jan 2014 20:37:39 GMT",
"version": "v1"
},
{
"created": "Wed, 18 Nov 2015 18:22:03 GMT",
"version": "v2"
},
{
"created": "Wed, 16 Mar 2016 21:14:09 GMT",
"version": "v3"
}
] | 2016-03-18 | [
[
"Roux",
"Stéphane Le",
""
],
[
"Pauly",
"Arno",
""
]
] | We investigate the existence of certain types of equilibria (Nash, $\varepsilon$-Nash, subgame perfect, $\varepsilon$-subgame perfect, Pareto-optimal) in multi-player multi-outcome infinite sequential games. We use two fundamental approaches: one requires strong topological restrictions on the games, but produces very ... |
2301.03988 | Harm de Vries | Loubna Ben Allal, Raymond Li, Denis Kocetkov, Chenghao Mou,
Christopher Akiki, Carlos Munoz Ferrandis, Niklas Muennighoff, Mayank Mishra,
Alex Gu, Manan Dey, Logesh Kumar Umapathi, Carolyn Jane Anderson, Yangtian
Zi, Joel Lamy Poirier, Hailey Schoelkopf, Sergey Troshin, Dmitry Abulkhanov,
Manuel Romero, Michael... | SantaCoder: don't reach for the stars! | null | null | null | null | cs.SE cs.AI cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | The BigCode project is an open-scientific collaboration working on the
responsible development of large language models for code. This tech report
describes the progress of the collaboration until December 2022, outlining the
current state of the Personally Identifiable Information (PII) redaction
pipeline, the exper... | [
{
"created": "Mon, 9 Jan 2023 10:52:35 GMT",
"version": "v1"
},
{
"created": "Fri, 24 Feb 2023 09:53:40 GMT",
"version": "v2"
}
] | 2023-02-27 | [
[
"Allal",
"Loubna Ben",
""
],
[
"Li",
"Raymond",
""
],
[
"Kocetkov",
"Denis",
""
],
[
"Mou",
"Chenghao",
""
],
[
"Akiki",
"Christopher",
""
],
[
"Ferrandis",
"Carlos Munoz",
""
],
[
"Muennighoff",
"Niklas",
... | The BigCode project is an open-scientific collaboration working on the responsible development of large language models for code. This tech report describes the progress of the collaboration until December 2022, outlining the current state of the Personally Identifiable Information (PII) redaction pipeline, the experim... |
1306.6526 | Damiano Zanardini | Damiano Zanardini and Samir Genaim | Inference of Field-Sensitive Reachability and Cyclicity | 38 pages + appendix | null | null | null | cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In heap-based languages, knowing that a variable x points to an acyclic data
structure is useful for analyzing termination: this information guarantees that
the depth of the data structure to which x points is greater than the depth of
the structure pointed to by x.fld, and allows bounding the number of iterations
of... | [
{
"created": "Thu, 27 Jun 2013 14:48:27 GMT",
"version": "v1"
},
{
"created": "Mon, 8 Jul 2013 14:32:27 GMT",
"version": "v2"
},
{
"created": "Wed, 5 Mar 2014 15:29:26 GMT",
"version": "v3"
},
{
"created": "Mon, 19 May 2014 10:26:26 GMT",
"version": "v4"
}
] | 2014-05-20 | [
[
"Zanardini",
"Damiano",
""
],
[
"Genaim",
"Samir",
""
]
] | In heap-based languages, knowing that a variable x points to an acyclic data structure is useful for analyzing termination: this information guarantees that the depth of the data structure to which x points is greater than the depth of the structure pointed to by x.fld, and allows bounding the number of iterations of a... |
2206.07959 | Adam Harley | Adam W. Harley and Zhaoyuan Fang and Jie Li and Rares Ambrus and
Katerina Fragkiadaki | Simple-BEV: What Really Matters for Multi-Sensor BEV Perception? | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Building 3D perception systems for autonomous vehicles that do not rely on
high-density LiDAR is a critical research problem because of the expense of
LiDAR systems compared to cameras and other sensors. Recent research has
developed a variety of camera-only methods, where features are differentiably
"lifted" from th... | [
{
"created": "Thu, 16 Jun 2022 06:57:32 GMT",
"version": "v1"
},
{
"created": "Thu, 29 Sep 2022 23:14:58 GMT",
"version": "v2"
}
] | 2022-10-03 | [
[
"Harley",
"Adam W.",
""
],
[
"Fang",
"Zhaoyuan",
""
],
[
"Li",
"Jie",
""
],
[
"Ambrus",
"Rares",
""
],
[
"Fragkiadaki",
"Katerina",
""
]
] | Building 3D perception systems for autonomous vehicles that do not rely on high-density LiDAR is a critical research problem because of the expense of LiDAR systems compared to cameras and other sensors. Recent research has developed a variety of camera-only methods, where features are differentiably "lifted" from the ... |
1702.03470 | Ehsan Sherkat | Ehsan Sherkat, Evangelos Milios | Vector Embedding of Wikipedia Concepts and Entities | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Using deep learning for different machine learning tasks such as image
classification and word embedding has recently gained many attentions. Its
appealing performance reported across specific Natural Language Processing
(NLP) tasks in comparison with other approaches is the reason for its
popularity. Word embedding ... | [
{
"created": "Sun, 12 Feb 2017 00:23:04 GMT",
"version": "v1"
}
] | 2017-02-14 | [
[
"Sherkat",
"Ehsan",
""
],
[
"Milios",
"Evangelos",
""
]
] | Using deep learning for different machine learning tasks such as image classification and word embedding has recently gained many attentions. Its appealing performance reported across specific Natural Language Processing (NLP) tasks in comparison with other approaches is the reason for its popularity. Word embedding is... |
2107.12183 | Jicong Fan | Jicong Fan, Yiheng Tu, Zhao Zhang, Mingbo Zhao, Haijun Zhang | A Simple Approach to Automated Spectral Clustering | Accepted by NeurIPS 2022 | NeurIPS 2022 | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The performance of spectral clustering heavily relies on the quality of
affinity matrix. A variety of affinity-matrix-construction (AMC) methods have
been proposed but they have hyperparameters to determine beforehand, which
requires strong experience and leads to difficulty in real applications,
especially when the ... | [
{
"created": "Fri, 23 Jul 2021 08:53:36 GMT",
"version": "v1"
},
{
"created": "Tue, 27 Jul 2021 01:38:14 GMT",
"version": "v2"
},
{
"created": "Mon, 24 Jan 2022 10:00:24 GMT",
"version": "v3"
},
{
"created": "Sat, 1 Oct 2022 15:27:27 GMT",
"version": "v4"
}
] | 2023-02-07 | [
[
"Fan",
"Jicong",
""
],
[
"Tu",
"Yiheng",
""
],
[
"Zhang",
"Zhao",
""
],
[
"Zhao",
"Mingbo",
""
],
[
"Zhang",
"Haijun",
""
]
] | The performance of spectral clustering heavily relies on the quality of affinity matrix. A variety of affinity-matrix-construction (AMC) methods have been proposed but they have hyperparameters to determine beforehand, which requires strong experience and leads to difficulty in real applications, especially when the in... |
2207.13035 | Lin Wu | Lin Wu, Deyin Liu, Wenying Zhang, Dapeng Chen, Zongyuan Ge, Farid
Boussaid, Mohammed Bennamoun, Jialie Shen | Pseudo-Pair based Self-Similarity Learning for Unsupervised Person
Re-identification | Under review | IEEE Transactions on Image Processing 2022 | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Person re-identification (re-ID) is of great importance to video surveillance
systems by estimating the similarity between a pair of cross-camera person
shorts. Current methods for estimating such similarity require a large number
of labeled samples for supervised training. In this paper, we present a
pseudo-pair bas... | [
{
"created": "Sat, 9 Jul 2022 04:05:06 GMT",
"version": "v1"
}
] | 2022-07-28 | [
[
"Wu",
"Lin",
""
],
[
"Liu",
"Deyin",
""
],
[
"Zhang",
"Wenying",
""
],
[
"Chen",
"Dapeng",
""
],
[
"Ge",
"Zongyuan",
""
],
[
"Boussaid",
"Farid",
""
],
[
"Bennamoun",
"Mohammed",
""
],
[
"Shen",
... | Person re-identification (re-ID) is of great importance to video surveillance systems by estimating the similarity between a pair of cross-camera person shorts. Current methods for estimating such similarity require a large number of labeled samples for supervised training. In this paper, we present a pseudo-pair based... |
2110.01456 | Andrew Lappalainen | Andrew Lappalainen, Yuhao Zhang, Catherine Rosenberg | Planning 5G Networks for Rural Fixed Wireless Access | 16 pages, 9 figures, 5 tables | IEEE Transactions on Network and Service Management, vol. 20, no.
1, pp. 441-455, Mar. 2023 | 10.1109/TNSM.2022.3202200 | null | cs.NI eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the planning of a rural 5G multi-user massive MIMO fixed wireless
access system to offer fixed broadband service to homes. Specifically, we aim
to determine the user limit, i.e., the maximum number of homes that can
simultaneously receive target minimum bit rates (MBRs) on the downlink (DL) and
on the uplink... | [
{
"created": "Mon, 4 Oct 2021 13:42:50 GMT",
"version": "v1"
},
{
"created": "Wed, 13 Apr 2022 03:20:03 GMT",
"version": "v2"
},
{
"created": "Wed, 17 Aug 2022 17:54:15 GMT",
"version": "v3"
}
] | 2023-03-28 | [
[
"Lappalainen",
"Andrew",
""
],
[
"Zhang",
"Yuhao",
""
],
[
"Rosenberg",
"Catherine",
""
]
] | We study the planning of a rural 5G multi-user massive MIMO fixed wireless access system to offer fixed broadband service to homes. Specifically, we aim to determine the user limit, i.e., the maximum number of homes that can simultaneously receive target minimum bit rates (MBRs) on the downlink (DL) and on the uplink (... |
1903.04940 | Rafael Pe\~naloza | Fabrizio M. Maggi, Marco Montali and Rafael Pe\~naloza | Temporal Logics Over Finite Traces with Uncertainty (Technical Report) | Extended version of paper accepted at AAAI 2020 | null | null | null | cs.LO cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Temporal logics over finite traces have recently seen wide application in a
number of areas, from business process modelling, monitoring, and mining to
planning and decision making. However, real-life dynamic systems contain a
degree of uncertainty which cannot be handled with classical logics. We thus
propose a new ... | [
{
"created": "Tue, 12 Mar 2019 14:17:44 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Nov 2019 15:38:40 GMT",
"version": "v2"
}
] | 2019-11-19 | [
[
"Maggi",
"Fabrizio M.",
""
],
[
"Montali",
"Marco",
""
],
[
"Peñaloza",
"Rafael",
""
]
] | Temporal logics over finite traces have recently seen wide application in a number of areas, from business process modelling, monitoring, and mining to planning and decision making. However, real-life dynamic systems contain a degree of uncertainty which cannot be handled with classical logics. We thus propose a new pr... |
1805.01130 | Palakorn Achananuparp | Palakorn Achananuparp, Ee-Peng Lim, Vibhanshu Abhishek, Tianjiao Yun | Eat & Tell: A Randomized Trial of Random-Loss Incentive to Increase
Dietary Self-Tracking Compliance | Published at Digital Health 2018 | null | 10.1145/3194658.3194662 | null | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A growing body of evidence has shown that incorporating behavioral economics
principles into the design of financial incentive programs helps improve their
cost-effectiveness, promote individuals' short-term engagement, and increase
compliance in health behavior interventions. Yet, their effects on long-term
engageme... | [
{
"created": "Thu, 3 May 2018 06:00:30 GMT",
"version": "v1"
}
] | 2020-10-28 | [
[
"Achananuparp",
"Palakorn",
""
],
[
"Lim",
"Ee-Peng",
""
],
[
"Abhishek",
"Vibhanshu",
""
],
[
"Yun",
"Tianjiao",
""
]
] | A growing body of evidence has shown that incorporating behavioral economics principles into the design of financial incentive programs helps improve their cost-effectiveness, promote individuals' short-term engagement, and increase compliance in health behavior interventions. Yet, their effects on long-term engagement... |
2403.02300 | Thanasis Pittas | Ilias Diakonikolas, Daniel M. Kane, Thanasis Pittas, Nikos Zarifis | Statistical Query Lower Bounds for Learning Truncated Gaussians | null | null | null | null | cs.DS cs.LG math.ST stat.ML stat.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of estimating the mean of an identity covariance
Gaussian in the truncated setting, in the regime when the truncation set comes
from a low-complexity family $\mathcal{C}$ of sets. Specifically, for a fixed
but unknown truncation set $S \subseteq \mathbb{R}^d$, we are given access to
samples from ... | [
{
"created": "Mon, 4 Mar 2024 18:30:33 GMT",
"version": "v1"
}
] | 2024-03-05 | [
[
"Diakonikolas",
"Ilias",
""
],
[
"Kane",
"Daniel M.",
""
],
[
"Pittas",
"Thanasis",
""
],
[
"Zarifis",
"Nikos",
""
]
] | We study the problem of estimating the mean of an identity covariance Gaussian in the truncated setting, in the regime when the truncation set comes from a low-complexity family $\mathcal{C}$ of sets. Specifically, for a fixed but unknown truncation set $S \subseteq \mathbb{R}^d$, we are given access to samples from th... |
1202.1484 | Kittipong Kittichokechai | Kittipong Kittichokechai, Tobias J. Oechtering, and Mikael Skoglund | Coding With Action-dependent Side Information and Additional
Reconstruction Requirements | submitted to IEEE Trans. Information Theory | null | 10.1109/TIT.2015.2476800 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Constrained lossy source coding and channel coding with side information
problems which extend the classic Wyner-Ziv and Gel'fand-Pinsker problems are
considered. Inspired by applications in sensor networking and control, we first
consider lossy source coding with two-sided partial side information where the
quality/... | [
{
"created": "Tue, 7 Feb 2012 18:19:00 GMT",
"version": "v1"
}
] | 2016-11-15 | [
[
"Kittichokechai",
"Kittipong",
""
],
[
"Oechtering",
"Tobias J.",
""
],
[
"Skoglund",
"Mikael",
""
]
] | Constrained lossy source coding and channel coding with side information problems which extend the classic Wyner-Ziv and Gel'fand-Pinsker problems are considered. Inspired by applications in sensor networking and control, we first consider lossy source coding with two-sided partial side information where the quality/av... |
1804.08479 | Serhii Nazarovets | Serhii Nazarovets | Black Open Access in Ukraine: Analysis of Downloading Sci-Hub
Publications by Ukrainian Internet Users | null | Nauka innov. 2018, 14(2):19-26 | 10.15407/scin14.02.019 | null | cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Introduction. High subscription fees to scholarly research journals provoke
researchers to use illegal channels of access to scientific information.
Analysis of statistical data on downloads of scholarly research papers by
Ukrainian Internet users from illegal web resource can help to define gaps in
information provi... | [
{
"created": "Mon, 23 Apr 2018 14:44:55 GMT",
"version": "v1"
}
] | 2018-04-24 | [
[
"Nazarovets",
"Serhii",
""
]
] | Introduction. High subscription fees to scholarly research journals provoke researchers to use illegal channels of access to scientific information. Analysis of statistical data on downloads of scholarly research papers by Ukrainian Internet users from illegal web resource can help to define gaps in information provisi... |
2106.10789 | Hareem Sahar | Hareem Sahar, Yuxin Liu, Abram Hindle, Denilson Barbosa | An empirical evaluation of the usefulness of Tree Kernels for
Commit-time Defect Detection in large software systems | null | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Defect detection at commit check-in time prevents the introduction of defects
into software systems. Current defect detection approaches rely on metric-based
models which are not very accurate and whose results are not directly useful
for developers. We propose a method to detect bug-inducing commits by comparing
the... | [
{
"created": "Mon, 21 Jun 2021 01:05:07 GMT",
"version": "v1"
}
] | 2021-06-22 | [
[
"Sahar",
"Hareem",
""
],
[
"Liu",
"Yuxin",
""
],
[
"Hindle",
"Abram",
""
],
[
"Barbosa",
"Denilson",
""
]
] | Defect detection at commit check-in time prevents the introduction of defects into software systems. Current defect detection approaches rely on metric-based models which are not very accurate and whose results are not directly useful for developers. We propose a method to detect bug-inducing commits by comparing the i... |
2209.01179 | Xaver Fabian | Xaver Fabian, Marco Guarnieri, Marco Patrignani | Automatic Detection of Speculative Execution Combinations | null | null | null | null | cs.CR cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern processors employ different prediction mechanisms to speculate over
different kinds of instructions. Attackers can exploit these prediction
mechanisms simultaneously in order to trigger leaks about
speculatively-accessed data. Thus, sound reasoning about such speculative leaks
requires accounting for all poten... | [
{
"created": "Fri, 2 Sep 2022 17:20:59 GMT",
"version": "v1"
}
] | 2022-09-05 | [
[
"Fabian",
"Xaver",
""
],
[
"Guarnieri",
"Marco",
""
],
[
"Patrignani",
"Marco",
""
]
] | Modern processors employ different prediction mechanisms to speculate over different kinds of instructions. Attackers can exploit these prediction mechanisms simultaneously in order to trigger leaks about speculatively-accessed data. Thus, sound reasoning about such speculative leaks requires accounting for all potenti... |
1908.01328 | Georgi Karadzhov | Pepa Atanasova, Preslav Nakov, Llu\'is M\`arquez, Alberto
Barr\'on-Cede\~no, Georgi Karadzhov, Tsvetomila Mihaylova, Mitra Mohtarami,
James Glass | Automatic Fact-Checking Using Context and Discourse Information | JDIQ,Special Issue on Combating Digital Misinformation and
Disinformation | J. Data and Information Quality, Volume 11 Issue 3, July 2019,
Article No. 12 | 10.1145/3297722 | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of automatic fact-checking, paying special attention to
the impact of contextual and discourse information. We address two related
tasks: (i) detecting check-worthy claims, and (ii) fact-checking claims. We
develop supervised systems based on neural networks, kernel-based support
vector machines,... | [
{
"created": "Sun, 4 Aug 2019 12:40:28 GMT",
"version": "v1"
}
] | 2019-08-06 | [
[
"Atanasova",
"Pepa",
""
],
[
"Nakov",
"Preslav",
""
],
[
"Màrquez",
"Lluís",
""
],
[
"Barrón-Cedeño",
"Alberto",
""
],
[
"Karadzhov",
"Georgi",
""
],
[
"Mihaylova",
"Tsvetomila",
""
],
[
"Mohtarami",
"Mitra",
... | We study the problem of automatic fact-checking, paying special attention to the impact of contextual and discourse information. We address two related tasks: (i) detecting check-worthy claims, and (ii) fact-checking claims. We develop supervised systems based on neural networks, kernel-based support vector machines, a... |
1902.09817 | Ziyao Li | Ziyao Li, Liang Zhang, Guojie Song | GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph
Convolutional Networks | IJCAI2019 Accepted Paper | null | null | null | cs.LG cs.CV cs.SI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph Convolutional Networks (GCNs) have proved to be a most powerful
architecture in aggregating local neighborhood information for individual graph
nodes. Low-rank proximities and node features are successfully leveraged in
existing GCNs, however, attributes that graph links may carry are commonly
ignored, as almos... | [
{
"created": "Tue, 26 Feb 2019 09:21:27 GMT",
"version": "v1"
},
{
"created": "Thu, 30 May 2019 15:27:56 GMT",
"version": "v2"
}
] | 2019-05-31 | [
[
"Li",
"Ziyao",
""
],
[
"Zhang",
"Liang",
""
],
[
"Song",
"Guojie",
""
]
] | Graph Convolutional Networks (GCNs) have proved to be a most powerful architecture in aggregating local neighborhood information for individual graph nodes. Low-rank proximities and node features are successfully leveraged in existing GCNs, however, attributes that graph links may carry are commonly ignored, as almost ... |
2009.13443 | Mahmoud Yassien Shams El Den | Amira. A. Elsonbaty and Mahmoud Shams | The Smart Parking Management System | 12 pages, 15 figures | International Journal of Computer Science & Information Technology
(IJCSIT) Vol 12, No 4, August 2020 | 10.5121/ijcsit.2020.12405 | null | cs.CY cs.AR cs.CV | http://creativecommons.org/licenses/by/4.0/ | With growing, Car parking increases with the number of car users. With the
increased use of smartphones and their applications, users prefer mobile
phone-based solutions. This paper proposes the Smart Parking Management System
(SPMS) that depends on Arduino parts, Android applications, and based on IoT.
This gave the... | [
{
"created": "Mon, 28 Sep 2020 16:08:10 GMT",
"version": "v1"
}
] | 2020-09-29 | [
[
"Elsonbaty",
"Amira. A.",
""
],
[
"Shams",
"Mahmoud",
""
]
] | With growing, Car parking increases with the number of car users. With the increased use of smartphones and their applications, users prefer mobile phone-based solutions. This paper proposes the Smart Parking Management System (SPMS) that depends on Arduino parts, Android applications, and based on IoT. This gave the c... |
1701.08212 | Biplav Srivastava | Sandeep S Sandha, Biplav Srivastava, Sukanya Randhawa | The GangaWatch Mobile App to Enable Usage of Water Data in Every Day
Decisions Integrating Historical and Real-time Sensing Data | 2 pages, water data, mobile app | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We demonstrate a novel mobile application called GangaWatch that makes water
pollution data usable and accessible focusing on one of the most polluted river
basins in the world. It is intended to engage common public who want to see
water condition and safe limits, and their relevance based on different
purposes. The... | [
{
"created": "Fri, 27 Jan 2017 22:32:18 GMT",
"version": "v1"
}
] | 2017-01-31 | [
[
"Sandha",
"Sandeep S",
""
],
[
"Srivastava",
"Biplav",
""
],
[
"Randhawa",
"Sukanya",
""
]
] | We demonstrate a novel mobile application called GangaWatch that makes water pollution data usable and accessible focusing on one of the most polluted river basins in the world. It is intended to engage common public who want to see water condition and safe limits, and their relevance based on different purposes. The d... |
1312.1027 | Mark Zhandry | Mark Zhandry | A Note on the Quantum Collision and Set Equality Problems | 10 pages. v2: fixed typos. v3: added set equality result | null | null | null | cs.CC quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The results showing a quantum query complexity of $\Theta(N^{1/3})$ for the
collision problem do not apply to random functions. The issues are two-fold.
First, the $\Omega(N^{1/3})$ lower bound only applies when the range is no
larger than the domain, which precludes many of the cryptographically
interesting applicat... | [
{
"created": "Wed, 4 Dec 2013 05:37:09 GMT",
"version": "v1"
},
{
"created": "Sun, 8 Dec 2013 20:20:56 GMT",
"version": "v2"
},
{
"created": "Wed, 11 Dec 2013 00:48:58 GMT",
"version": "v3"
}
] | 2013-12-12 | [
[
"Zhandry",
"Mark",
""
]
] | The results showing a quantum query complexity of $\Theta(N^{1/3})$ for the collision problem do not apply to random functions. The issues are two-fold. First, the $\Omega(N^{1/3})$ lower bound only applies when the range is no larger than the domain, which precludes many of the cryptographically interesting applicatio... |
2401.14129 | Boqun Zhao | Boqun Zhao, Chongjun Ouyang, Xingqi Zhang, Yuanwei Liu | Performance Analysis of Holographic MIMO Based Integrated Sensing and
Communications | null | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given the high spectral efficiency, holographic multiple-input
multiple-output (MIMO) technology holds promise for enhancing both sensing and
communication capabilities. However, accurately characterizing its performance
poses a challenge due to the spatial correlation induced by densely spaced
antennas. In this pape... | [
{
"created": "Thu, 25 Jan 2024 12:16:10 GMT",
"version": "v1"
},
{
"created": "Wed, 8 May 2024 19:24:36 GMT",
"version": "v2"
}
] | 2024-05-10 | [
[
"Zhao",
"Boqun",
""
],
[
"Ouyang",
"Chongjun",
""
],
[
"Zhang",
"Xingqi",
""
],
[
"Liu",
"Yuanwei",
""
]
] | Given the high spectral efficiency, holographic multiple-input multiple-output (MIMO) technology holds promise for enhancing both sensing and communication capabilities. However, accurately characterizing its performance poses a challenge due to the spatial correlation induced by densely spaced antennas. In this paper,... |
2303.11568 | Jianing Qiu | Jianing Qiu, Lin Li, Jiankai Sun, Jiachuan Peng, Peilun Shi, Ruiyang
Zhang, Yinzhao Dong, Kyle Lam, Frank P.-W. Lo, Bo Xiao, Wu Yuan, Ningli Wang,
Dong Xu, Benny Lo | Large AI Models in Health Informatics: Applications, Challenges, and the
Future | This article has been accepted for publication in IEEE Journal of
Biomedical and Health Informatics | JBHI, 2023 | 10.1109/JBHI.2023.3316750 | null | cs.AI cs.CY | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Large AI models, or foundation models, are models recently emerging with
massive scales both parameter-wise and data-wise, the magnitudes of which can
reach beyond billions. Once pretrained, large AI models demonstrate impressive
performance in various downstream tasks. A prime example is ChatGPT, whose
capability ha... | [
{
"created": "Tue, 21 Mar 2023 03:28:33 GMT",
"version": "v1"
},
{
"created": "Sun, 24 Sep 2023 06:09:58 GMT",
"version": "v2"
}
] | 2023-09-26 | [
[
"Qiu",
"Jianing",
""
],
[
"Li",
"Lin",
""
],
[
"Sun",
"Jiankai",
""
],
[
"Peng",
"Jiachuan",
""
],
[
"Shi",
"Peilun",
""
],
[
"Zhang",
"Ruiyang",
""
],
[
"Dong",
"Yinzhao",
""
],
[
"Lam",
"Kyle"... | Large AI models, or foundation models, are models recently emerging with massive scales both parameter-wise and data-wise, the magnitudes of which can reach beyond billions. Once pretrained, large AI models demonstrate impressive performance in various downstream tasks. A prime example is ChatGPT, whose capability has ... |
2403.19225 | Angchi Xu | Angchi Xu, Wei-Shi Zheng | Efficient and Effective Weakly-Supervised Action Segmentation via
Action-Transition-Aware Boundary Alignment | Accepted to CVPR 2024 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Weakly-supervised action segmentation is a task of learning to partition a
long video into several action segments, where training videos are only
accompanied by transcripts (ordered list of actions). Most of existing methods
need to infer pseudo segmentation for training by serial alignment between all
frames and th... | [
{
"created": "Thu, 28 Mar 2024 08:39:44 GMT",
"version": "v1"
}
] | 2024-03-29 | [
[
"Xu",
"Angchi",
""
],
[
"Zheng",
"Wei-Shi",
""
]
] | Weakly-supervised action segmentation is a task of learning to partition a long video into several action segments, where training videos are only accompanied by transcripts (ordered list of actions). Most of existing methods need to infer pseudo segmentation for training by serial alignment between all frames and the ... |
2405.00184 | Jonathan Serrano MSc | Jonathan Serrano-P\'erez, L. Enrique Sucar | Semi-Supervised Hierarchical Multi-Label Classifier Based on Local
Information | null | null | null | null | cs.LG q-bio.QM | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Scarcity of labeled data is a common problem in supervised classification,
since hand-labeling can be time consuming, expensive or hard to label; on the
other hand, large amounts of unlabeled information can be found. The problem of
scarcity of labeled data is even more notorious in hierarchical classification,
becau... | [
{
"created": "Tue, 30 Apr 2024 20:16:40 GMT",
"version": "v1"
}
] | 2024-05-02 | [
[
"Serrano-Pérez",
"Jonathan",
""
],
[
"Sucar",
"L. Enrique",
""
]
] | Scarcity of labeled data is a common problem in supervised classification, since hand-labeling can be time consuming, expensive or hard to label; on the other hand, large amounts of unlabeled information can be found. The problem of scarcity of labeled data is even more notorious in hierarchical classification, because... |
2308.09454 | Mathias Rose Bjare MSc | Mathias Rose Bjare, Stefan Lattner and Gerhard Widmer | Exploring Sampling Techniques for Generating Melodies with a Transformer
Language Model | 7 pages, 5 figures, 1 table, accepted at the 24th Int. Society for
Music Information Retrieval Conf., Milan, Italy, 2023 | null | null | null | cs.SD cs.CL eess.AS | http://creativecommons.org/licenses/by/4.0/ | Research in natural language processing has demonstrated that the quality of
generations from trained autoregressive language models is significantly
influenced by the used sampling strategy. In this study, we investigate the
impact of different sampling techniques on musical qualities such as diversity
and structure... | [
{
"created": "Fri, 18 Aug 2023 10:34:46 GMT",
"version": "v1"
}
] | 2023-08-21 | [
[
"Bjare",
"Mathias Rose",
""
],
[
"Lattner",
"Stefan",
""
],
[
"Widmer",
"Gerhard",
""
]
] | Research in natural language processing has demonstrated that the quality of generations from trained autoregressive language models is significantly influenced by the used sampling strategy. In this study, we investigate the impact of different sampling techniques on musical qualities such as diversity and structure. ... |
1809.03916 | Maarten Bieshaar | Maarten Bieshaar, G\"unther Reitberger, Stefan Zernetsch, Bernhard
Sick, Erich Fuchs, Konrad Doll | Detecting Intentions of Vulnerable Road Users Based on Collective
Intelligence | 20 pages, published at Automatisiertes und vernetztes Fahren (AAET),
Braunschweig, Germany, 2017 | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Vulnerable road users (VRUs, i.e. cyclists and pedestrians) will play an
important role in future traffic. To avoid accidents and achieve a highly
efficient traffic flow, it is important to detect VRUs and to predict their
intentions. In this article a holistic approach for detecting intentions of
VRUs by cooperative... | [
{
"created": "Tue, 11 Sep 2018 14:18:49 GMT",
"version": "v1"
}
] | 2018-09-12 | [
[
"Bieshaar",
"Maarten",
""
],
[
"Reitberger",
"Günther",
""
],
[
"Zernetsch",
"Stefan",
""
],
[
"Sick",
"Bernhard",
""
],
[
"Fuchs",
"Erich",
""
],
[
"Doll",
"Konrad",
""
]
] | Vulnerable road users (VRUs, i.e. cyclists and pedestrians) will play an important role in future traffic. To avoid accidents and achieve a highly efficient traffic flow, it is important to detect VRUs and to predict their intentions. In this article a holistic approach for detecting intentions of VRUs by cooperative m... |
2406.15797 | Benyu Wu | Benyu Wu, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding and Xindong Wu | Synergistic Deep Graph Clustering Network | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Employing graph neural networks (GNNs) to learn cohesive and discriminative
node representations for clustering has shown promising results in deep graph
clustering. However, existing methods disregard the reciprocal relationship
between representation learning and structure augmentation. This study suggests
that enh... | [
{
"created": "Sat, 22 Jun 2024 09:40:34 GMT",
"version": "v1"
}
] | 2024-06-25 | [
[
"Wu",
"Benyu",
""
],
[
"Ding",
"Shifei",
""
],
[
"Xu",
"Xiao",
""
],
[
"Guo",
"Lili",
""
],
[
"Ding",
"Ling",
""
],
[
"Wu",
"Xindong",
""
]
] | Employing graph neural networks (GNNs) to learn cohesive and discriminative node representations for clustering has shown promising results in deep graph clustering. However, existing methods disregard the reciprocal relationship between representation learning and structure augmentation. This study suggests that enhan... |
2204.03896 | Wonkee Lee | Wonkee Lee, Seong-Hwan Heo, Jong-Hyeok Lee | Advancing Semi-Supervised Learning for Automatic Post-Editing:
Data-Synthesis by Mask-Infilling with Erroneous Terms | Accepted to LREC-COLING 2024 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Semi-supervised learning that leverages synthetic data for training has been
widely adopted for developing automatic post-editing (APE) models due to the
lack of training data. With this aim, we focus on data-synthesis methods to
create high-quality synthetic data. Given that APE takes as input a
machine-translation ... | [
{
"created": "Fri, 8 Apr 2022 07:48:57 GMT",
"version": "v1"
},
{
"created": "Mon, 3 Jun 2024 14:09:05 GMT",
"version": "v2"
}
] | 2024-06-04 | [
[
"Lee",
"Wonkee",
""
],
[
"Heo",
"Seong-Hwan",
""
],
[
"Lee",
"Jong-Hyeok",
""
]
] | Semi-supervised learning that leverages synthetic data for training has been widely adopted for developing automatic post-editing (APE) models due to the lack of training data. With this aim, we focus on data-synthesis methods to create high-quality synthetic data. Given that APE takes as input a machine-translation re... |
1403.6192 | Yixuan Xie | Yixuan Xie, Jinhong Yuan and Yuichiro Fujiwara | Quantum Synchronizable Codes From Quadratic Residue Codes and Their
Supercodes | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Quantum synchronizable codes are quantum error-correcting codes designed to
correct the effects of both quantum noise and block synchronization errors.
While it is known that quantum synchronizable codes can be constructed from
cyclic codes that satisfy special properties, only a few classes of cyclic
codes have been... | [
{
"created": "Mon, 24 Mar 2014 23:37:40 GMT",
"version": "v1"
},
{
"created": "Wed, 14 May 2014 06:35:33 GMT",
"version": "v2"
},
{
"created": "Mon, 18 Aug 2014 11:42:20 GMT",
"version": "v3"
}
] | 2014-08-19 | [
[
"Xie",
"Yixuan",
""
],
[
"Yuan",
"Jinhong",
""
],
[
"Fujiwara",
"Yuichiro",
""
]
] | Quantum synchronizable codes are quantum error-correcting codes designed to correct the effects of both quantum noise and block synchronization errors. While it is known that quantum synchronizable codes can be constructed from cyclic codes that satisfy special properties, only a few classes of cyclic codes have been p... |
1912.06931 | Hao Tang | Hao Tang, Nicu Sebe | Asymmetric GANs for Image-to-Image Translation | Added more information | null | null | null | cs.CV cs.LG eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Existing models for unsupervised image translation with Generative
Adversarial Networks (GANs) can learn the mapping from the source domain to the
target domain using a cycle-consistency loss. However, these methods always
adopt a symmetric network architecture to learn both forward and backward
cycles. Because of th... | [
{
"created": "Sat, 14 Dec 2019 21:24:41 GMT",
"version": "v1"
},
{
"created": "Fri, 12 Jul 2024 12:34:52 GMT",
"version": "v2"
}
] | 2024-07-15 | [
[
"Tang",
"Hao",
""
],
[
"Sebe",
"Nicu",
""
]
] | Existing models for unsupervised image translation with Generative Adversarial Networks (GANs) can learn the mapping from the source domain to the target domain using a cycle-consistency loss. However, these methods always adopt a symmetric network architecture to learn both forward and backward cycles. Because of the ... |
2201.07713 | Tarik Taleb Dr. | T. Taleb, D.E. Bensalem, and A. Laghrissi | Smart Service-Oriented Clustering for Dynamic Slice Configuration | null | null | null | null | cs.NI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The fifth generation (5G) and beyond wireless networks are foreseen to
operate in a fully automated manner, in order to fulfill the promise of
ultra-short latency, meet the exponentially increasing resource requirements,
and offer the quality of experience (QoE) expected from end-users. Among the
ingredients involved... | [
{
"created": "Wed, 5 Jan 2022 12:36:29 GMT",
"version": "v1"
}
] | 2022-01-20 | [
[
"Taleb",
"T.",
""
],
[
"Bensalem",
"D. E.",
""
],
[
"Laghrissi",
"A.",
""
]
] | The fifth generation (5G) and beyond wireless networks are foreseen to operate in a fully automated manner, in order to fulfill the promise of ultra-short latency, meet the exponentially increasing resource requirements, and offer the quality of experience (QoE) expected from end-users. Among the ingredients involved i... |
1702.04295 | Antonio Bazco | Antonio Bazco, Paul de Kerret, David Gesbert, Nicolas Gresset | Generalized Degrees-of-Freedom of the 2-User Case MISO Broadcast Channel
with Distributed CSIT | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work analyses the Generalized Degrees-of-Freedom (GDoF) of the 2-User
Multiple-Input Single-Output (MISO) Broadcast Channel (BC) in the so-called
Distributed CSIT regime, with application to decentralized wireless networks.
This regime differs from the classical limited CSIT one in that the CSIT is not
just nois... | [
{
"created": "Tue, 14 Feb 2017 17:14:48 GMT",
"version": "v1"
}
] | 2017-02-15 | [
[
"Bazco",
"Antonio",
""
],
[
"de Kerret",
"Paul",
""
],
[
"Gesbert",
"David",
""
],
[
"Gresset",
"Nicolas",
""
]
] | This work analyses the Generalized Degrees-of-Freedom (GDoF) of the 2-User Multiple-Input Single-Output (MISO) Broadcast Channel (BC) in the so-called Distributed CSIT regime, with application to decentralized wireless networks. This regime differs from the classical limited CSIT one in that the CSIT is not just noisy ... |
2004.10386 | Jingfeng Zhang | Jingfeng Zhang, Cheng Li, Antonio Robles-Kelly and Mohan Kankanhalli | Hierarchically Fair Federated Learning | null | null | null | null | cs.LG cs.AI cs.CY stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | When the federated learning is adopted among competitive agents with siloed
datasets, agents are self-interested and participate only if they are fairly
rewarded. To encourage the application of federated learning, this paper
employs a management strategy, i.e., more contributions should lead to more
rewards. We prop... | [
{
"created": "Wed, 22 Apr 2020 03:41:06 GMT",
"version": "v1"
},
{
"created": "Fri, 1 May 2020 11:42:33 GMT",
"version": "v2"
}
] | 2020-05-04 | [
[
"Zhang",
"Jingfeng",
""
],
[
"Li",
"Cheng",
""
],
[
"Robles-Kelly",
"Antonio",
""
],
[
"Kankanhalli",
"Mohan",
""
]
] | When the federated learning is adopted among competitive agents with siloed datasets, agents are self-interested and participate only if they are fairly rewarded. To encourage the application of federated learning, this paper employs a management strategy, i.e., more contributions should lead to more rewards. We propos... |
2002.02731 | Jeffrey Shallit | Trevor Clokie, Thomas F. Lidbetter, Antonio Molina Lovett, Jeffrey
Shallit, Leon Witzman | Computational Aspects of Sturdy and Flimsy Numbers | null | null | null | null | cs.DS cs.DM cs.FL math.CO math.NT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Following Stolarsky, we say that a natural number n is flimsy in base b if
some positive multiple of n has smaller digit sum in base b than n does;
otherwise it is sturdy. We develop algorithmic methods for the study of sturdy
and flimsy numbers.
We provide some criteria for determining whether a number is sturdy. ... | [
{
"created": "Fri, 7 Feb 2020 12:17:41 GMT",
"version": "v1"
}
] | 2020-02-10 | [
[
"Clokie",
"Trevor",
""
],
[
"Lidbetter",
"Thomas F.",
""
],
[
"Lovett",
"Antonio Molina",
""
],
[
"Shallit",
"Jeffrey",
""
],
[
"Witzman",
"Leon",
""
]
] | Following Stolarsky, we say that a natural number n is flimsy in base b if some positive multiple of n has smaller digit sum in base b than n does; otherwise it is sturdy. We develop algorithmic methods for the study of sturdy and flimsy numbers. We provide some criteria for determining whether a number is sturdy. Focu... |
1804.06003 | Cunsheng Ding | Ziling Heng and Cunsheng Ding | The Subfield Codes of Hyperoval and Conic codes | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Hyperovals in $\PG(2,\gf(q))$ with even $q$ are maximal arcs and an
interesting research topic in finite geometries and combinatorics. Hyperovals
in $\PG(2,\gf(q))$ are equivalent to $[q+2,3,q]$ MDS codes over $\gf(q)$,
called hyperoval codes, in the sense that one can be constructed from the
other. Ovals in $\PG(2,\... | [
{
"created": "Tue, 17 Apr 2018 01:20:59 GMT",
"version": "v1"
}
] | 2018-04-18 | [
[
"Heng",
"Ziling",
""
],
[
"Ding",
"Cunsheng",
""
]
] | Hyperovals in $\PG(2,\gf(q))$ with even $q$ are maximal arcs and an interesting research topic in finite geometries and combinatorics. Hyperovals in $\PG(2,\gf(q))$ are equivalent to $[q+2,3,q]$ MDS codes over $\gf(q)$, called hyperoval codes, in the sense that one can be constructed from the other. Ovals in $\PG(2,\gf... |
1504.00719 | Evan Drumwright | Evan Drumwright | Rapidly computable viscous friction and no-slip rigid contact models | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This article presents computationally efficient algorithms for modeling two
special cases of rigid contact---contact with only viscous friction and contact
without slip---that have particularly useful applications in robotic locomotion
and grasping. Modeling rigid contact with Coulomb friction generally exhibits
$O(n... | [
{
"created": "Fri, 3 Apr 2015 00:46:31 GMT",
"version": "v1"
}
] | 2015-04-06 | [
[
"Drumwright",
"Evan",
""
]
] | This article presents computationally efficient algorithms for modeling two special cases of rigid contact---contact with only viscous friction and contact without slip---that have particularly useful applications in robotic locomotion and grasping. Modeling rigid contact with Coulomb friction generally exhibits $O(n^3... |
1901.08565 | Osbert Bastani | Halley Young and Osbert Bastani and Mayur Naik | Learning Neurosymbolic Generative Models via Program Synthesis | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Significant strides have been made toward designing better generative models
in recent years. Despite this progress, however, state-of-the-art approaches
are still largely unable to capture complex global structure in data. For
example, images of buildings typically contain spatial patterns such as windows
repeating ... | [
{
"created": "Thu, 24 Jan 2019 18:33:32 GMT",
"version": "v1"
}
] | 2019-01-25 | [
[
"Young",
"Halley",
""
],
[
"Bastani",
"Osbert",
""
],
[
"Naik",
"Mayur",
""
]
] | Significant strides have been made toward designing better generative models in recent years. Despite this progress, however, state-of-the-art approaches are still largely unable to capture complex global structure in data. For example, images of buildings typically contain spatial patterns such as windows repeating at... |
2203.05662 | Jordan Sir Kwang Hu | Jordan S. K. Hu, Tianshu Kuai, Steven L. Waslander | Point Density-Aware Voxels for LiDAR 3D Object Detection | Accepted in CVPR 2022 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | LiDAR has become one of the primary 3D object detection sensors in autonomous
driving. However, LiDAR's diverging point pattern with increasing distance
results in a non-uniform sampled point cloud ill-suited to discretized
volumetric feature extraction. Current methods either rely on voxelized point
clouds or use in... | [
{
"created": "Thu, 10 Mar 2022 22:11:06 GMT",
"version": "v1"
},
{
"created": "Tue, 22 Mar 2022 00:47:21 GMT",
"version": "v2"
}
] | 2022-03-23 | [
[
"Hu",
"Jordan S. K.",
""
],
[
"Kuai",
"Tianshu",
""
],
[
"Waslander",
"Steven L.",
""
]
] | LiDAR has become one of the primary 3D object detection sensors in autonomous driving. However, LiDAR's diverging point pattern with increasing distance results in a non-uniform sampled point cloud ill-suited to discretized volumetric feature extraction. Current methods either rely on voxelized point clouds or use inef... |
1411.6382 | Chunhua Shen | Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel | Mid-level Deep Pattern Mining | Published in Proc. IEEE Conf. Computer Vision and Pattern Recognition
2015 | null | 10.1109/CVPR.2015.7298699 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Mid-level visual element discovery aims to find clusters of image patches
that are both representative and discriminative. In this work, we study this
problem from the prospective of pattern mining while relying on the recently
popularized Convolutional Neural Networks (CNNs). Specifically, we find that
for an image ... | [
{
"created": "Mon, 24 Nov 2014 08:57:16 GMT",
"version": "v1"
},
{
"created": "Wed, 3 Dec 2014 23:35:01 GMT",
"version": "v2"
},
{
"created": "Thu, 9 Apr 2015 03:40:41 GMT",
"version": "v3"
}
] | 2016-11-17 | [
[
"Li",
"Yao",
""
],
[
"Liu",
"Lingqiao",
""
],
[
"Shen",
"Chunhua",
""
],
[
"Hengel",
"Anton van den",
""
]
] | Mid-level visual element discovery aims to find clusters of image patches that are both representative and discriminative. In this work, we study this problem from the prospective of pattern mining while relying on the recently popularized Convolutional Neural Networks (CNNs). Specifically, we find that for an image pa... |
2305.10912 | Ingmar Schubert | Ingmar Schubert and Jingwei Zhang and Jake Bruce and Sarah Bechtle and
Emilio Parisotto and Martin Riedmiller and Jost Tobias Springenberg and
Arunkumar Byravan and Leonard Hasenclever and Nicolas Heess | A Generalist Dynamics Model for Control | null | null | null | null | cs.AI cs.RO | http://creativecommons.org/licenses/by/4.0/ | We investigate the use of transformer sequence models as dynamics models
(TDMs) for control. We find that TDMs exhibit strong generalization
capabilities to unseen environments, both in a few-shot setting, where a
generalist TDM is fine-tuned with small amounts of data from the target
environment, and in a zero-shot ... | [
{
"created": "Thu, 18 May 2023 12:14:49 GMT",
"version": "v1"
},
{
"created": "Sat, 23 Sep 2023 20:10:39 GMT",
"version": "v2"
}
] | 2023-09-26 | [
[
"Schubert",
"Ingmar",
""
],
[
"Zhang",
"Jingwei",
""
],
[
"Bruce",
"Jake",
""
],
[
"Bechtle",
"Sarah",
""
],
[
"Parisotto",
"Emilio",
""
],
[
"Riedmiller",
"Martin",
""
],
[
"Springenberg",
"Jost Tobias",
"... | We investigate the use of transformer sequence models as dynamics models (TDMs) for control. We find that TDMs exhibit strong generalization capabilities to unseen environments, both in a few-shot setting, where a generalist TDM is fine-tuned with small amounts of data from the target environment, and in a zero-shot se... |
2004.09729 | Lasitha Wijayarathne | Lasitha Wijayarathne, and Frank L. Hammond III | Identification of Compliant Contact Parameters and Admittance Force
Modulation on a Non-stationary Compliant Surface | Accepted for publication ay ICRA 2020 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Although autonomous control of robotic manipulators has been studied for
several decades, they are not commonly used in safety-critical applications due
to lack of safety and performance guarantees - many of them concerning the
modulation of interaction forces. This paper presents a mechanical probing
strategy for es... | [
{
"created": "Tue, 21 Apr 2020 03:10:52 GMT",
"version": "v1"
}
] | 2020-04-22 | [
[
"Wijayarathne",
"Lasitha",
""
],
[
"Hammond",
"Frank L.",
"III"
]
] | Although autonomous control of robotic manipulators has been studied for several decades, they are not commonly used in safety-critical applications due to lack of safety and performance guarantees - many of them concerning the modulation of interaction forces. This paper presents a mechanical probing strategy for esti... |
2011.06716 | Sha Lu | Sha Lu, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu, Jiuyong Li | Dependency-based Anomaly Detection: a General Framework and
Comprehensive Evaluation | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Anomaly detection is crucial for understanding unusual behaviors in data, as
anomalies offer valuable insights. This paper introduces Dependency-based
Anomaly Detection (DepAD), a general framework that utilizes variable
dependencies to uncover meaningful anomalies with better interpretability.
DepAD reframes unsuper... | [
{
"created": "Fri, 13 Nov 2020 01:39:44 GMT",
"version": "v1"
},
{
"created": "Wed, 17 Apr 2024 05:44:10 GMT",
"version": "v2"
}
] | 2024-04-18 | [
[
"Lu",
"Sha",
""
],
[
"Liu",
"Lin",
""
],
[
"Yu",
"Kui",
""
],
[
"Le",
"Thuc Duy",
""
],
[
"Liu",
"Jixue",
""
],
[
"Li",
"Jiuyong",
""
]
] | Anomaly detection is crucial for understanding unusual behaviors in data, as anomalies offer valuable insights. This paper introduces Dependency-based Anomaly Detection (DepAD), a general framework that utilizes variable dependencies to uncover meaningful anomalies with better interpretability. DepAD reframes unsupervi... |
1909.08003 | Reza Monir Vaghefi | Reza Monir Vaghefi, Ramesh Chembil Palat, Giovanni Marzin, Kiran
Basavaraju, Yiping Feng, and Mihai Banu | Achieving Phase Coherency and Gain Stability in Active Antenna Arrays
for Sub-6 GHz FDD and TDD FD-MIMO: Challenges and Solutions | This paper was submitted for publication in IEEE Journal on Selected
Areas in Communications on August 29, 2019 | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Massive MIMO has been the subject of intense interest in both academia and
industry for the past few years. 3GPP standardization for cellular systems have
adopted the principles of massive MIMO and categorized the use of large
rectangular planar arrays at the base station as full-dimension MIMO (FD-MIMO)
to operate i... | [
{
"created": "Tue, 17 Sep 2019 18:03:26 GMT",
"version": "v1"
}
] | 2019-09-19 | [
[
"Vaghefi",
"Reza Monir",
""
],
[
"Palat",
"Ramesh Chembil",
""
],
[
"Marzin",
"Giovanni",
""
],
[
"Basavaraju",
"Kiran",
""
],
[
"Feng",
"Yiping",
""
],
[
"Banu",
"Mihai",
""
]
] | Massive MIMO has been the subject of intense interest in both academia and industry for the past few years. 3GPP standardization for cellular systems have adopted the principles of massive MIMO and categorized the use of large rectangular planar arrays at the base station as full-dimension MIMO (FD-MIMO) to operate in ... |
1804.05741 | Chris Norval | Jatinder Singh, Jennifer Cobbe, Chris Norval | Decision Provenance: Harnessing data flow for accountable systems | Published in IEEE Access, vol. 9, pp. 6562-6574, 2019 | in IEEE Access, vol. 9, pp. 6562-6574, 2019 | 10.1109/ACCESS.2018.2887201 | null | cs.CY cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Demand is growing for more accountability regarding the technological systems
that increasingly occupy our world. However, the complexity of many of these
systems - often systems-of-systems - poses accountability challenges. A key
reason for this is because the details and nature of the information flows that
interco... | [
{
"created": "Mon, 16 Apr 2018 15:32:39 GMT",
"version": "v1"
},
{
"created": "Wed, 19 Dec 2018 11:12:16 GMT",
"version": "v2"
},
{
"created": "Thu, 20 Dec 2018 09:38:03 GMT",
"version": "v3"
},
{
"created": "Fri, 15 Nov 2019 11:06:10 GMT",
"version": "v4"
}
] | 2019-11-18 | [
[
"Singh",
"Jatinder",
""
],
[
"Cobbe",
"Jennifer",
""
],
[
"Norval",
"Chris",
""
]
] | Demand is growing for more accountability regarding the technological systems that increasingly occupy our world. However, the complexity of many of these systems - often systems-of-systems - poses accountability challenges. A key reason for this is because the details and nature of the information flows that interconn... |
1905.03850 | Juan Leni | Juan Leni, John Levine, John Quigley | Solving zero-sum extensive-form games with arbitrary payoff uncertainty
models | Preprint. License: CC-BY-NC-ND | null | null | null | cs.GT cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modeling strategic conflict from a game theoretical perspective involves
dealing with epistemic uncertainty. Payoff uncertainty models are typically
restricted to simple probability models due to computational restrictions.
Recent breakthroughs Artificial Intelligence (AI) research applied to Poker
have resulted in n... | [
{
"created": "Wed, 24 Apr 2019 05:30:01 GMT",
"version": "v1"
}
] | 2019-05-13 | [
[
"Leni",
"Juan",
""
],
[
"Levine",
"John",
""
],
[
"Quigley",
"John",
""
]
] | Modeling strategic conflict from a game theoretical perspective involves dealing with epistemic uncertainty. Payoff uncertainty models are typically restricted to simple probability models due to computational restrictions. Recent breakthroughs Artificial Intelligence (AI) research applied to Poker have resulted in nov... |
2001.03314 | Van Mao Ngo | Mao V. Ngo, Hakima Chaouchi, Tie Luo, Tony Q.S. Quek | Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing | To be published in the AAAI Workshop on Artificial Intelligence of
Things (AIoT), Feb 2020 | null | null | null | cs.LG cs.NI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Advances in deep neural networks (DNN) greatly bolster real-time detection of
anomalous IoT data. However, IoT devices can barely afford complex DNN models
due to limited computational power and energy supply. While one can offload
anomaly detection tasks to the cloud, it incurs long delay and requires large
bandwidt... | [
{
"created": "Fri, 10 Jan 2020 05:29:17 GMT",
"version": "v1"
}
] | 2020-01-13 | [
[
"Ngo",
"Mao V.",
""
],
[
"Chaouchi",
"Hakima",
""
],
[
"Luo",
"Tie",
""
],
[
"Quek",
"Tony Q. S.",
""
]
] | Advances in deep neural networks (DNN) greatly bolster real-time detection of anomalous IoT data. However, IoT devices can barely afford complex DNN models due to limited computational power and energy supply. While one can offload anomaly detection tasks to the cloud, it incurs long delay and requires large bandwidth ... |
2211.16808 | Tooba Khan | Tooba Khan, Kumar Madhukar, Subodh Vishnu Sharma | Efficient Adversarial Input Generation via Neural Net Patching | null | null | 10.1109/PRDC59308.2023.00013 | null | cs.LG cs.CR | http://creativecommons.org/publicdomain/zero/1.0/ | The generation of adversarial inputs has become a crucial issue in
establishing the robustness and trustworthiness of deep neural nets, especially
when they are used in safety-critical application domains such as autonomous
vehicles and precision medicine. However, the problem poses multiple practical
challenges, inc... | [
{
"created": "Wed, 30 Nov 2022 08:02:36 GMT",
"version": "v1"
},
{
"created": "Thu, 28 Sep 2023 16:29:55 GMT",
"version": "v2"
}
] | 2024-01-03 | [
[
"Khan",
"Tooba",
""
],
[
"Madhukar",
"Kumar",
""
],
[
"Sharma",
"Subodh Vishnu",
""
]
] | The generation of adversarial inputs has become a crucial issue in establishing the robustness and trustworthiness of deep neural nets, especially when they are used in safety-critical application domains such as autonomous vehicles and precision medicine. However, the problem poses multiple practical challenges, inclu... |
2112.01316 | Junha Lee | Junha Lee, Christopher Choy, Jaesik Park | Putting 3D Spatially Sparse Networks on a Diet | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-sa/4.0/ | 3D neural networks have become prevalent for many 3D vision tasks including
object detection, segmentation, registration, and various perception tasks for
3D inputs. However, due to the sparsity and irregularity of 3D data, custom 3D
operators or network designs have been the primary focus of research, while the
size... | [
{
"created": "Thu, 2 Dec 2021 15:20:15 GMT",
"version": "v1"
},
{
"created": "Fri, 8 Apr 2022 08:19:50 GMT",
"version": "v2"
}
] | 2022-04-11 | [
[
"Lee",
"Junha",
""
],
[
"Choy",
"Christopher",
""
],
[
"Park",
"Jaesik",
""
]
] | 3D neural networks have become prevalent for many 3D vision tasks including object detection, segmentation, registration, and various perception tasks for 3D inputs. However, due to the sparsity and irregularity of 3D data, custom 3D operators or network designs have been the primary focus of research, while the size o... |
2211.12706 | Ayan Chatterjee Ph.D. | Ayan Chatterjee, Bestoun S. Ahmed, Erik Hallin, Anton Engman | Quality Assurance in MLOps Setting: An Industrial Perspective | Accepted in ISE2022 of the 29th Asia-Pacific Software Engineering
Conference (APSEC 2022) | null | null | null | cs.SE cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Today, machine learning (ML) is widely used in industry to provide the core
functionality of production systems. However, it is practically always used in
production systems as part of a larger end-to-end software system that is made
up of several other components in addition to the ML model. Due to production
demand... | [
{
"created": "Wed, 23 Nov 2022 05:02:24 GMT",
"version": "v1"
},
{
"created": "Thu, 24 Nov 2022 19:29:46 GMT",
"version": "v2"
}
] | 2022-11-28 | [
[
"Chatterjee",
"Ayan",
""
],
[
"Ahmed",
"Bestoun S.",
""
],
[
"Hallin",
"Erik",
""
],
[
"Engman",
"Anton",
""
]
] | Today, machine learning (ML) is widely used in industry to provide the core functionality of production systems. However, it is practically always used in production systems as part of a larger end-to-end software system that is made up of several other components in addition to the ML model. Due to production demand a... |
1903.01066 | Jianlan Luo | Jianlan Luo, Eugen Solowjow, Chengtao Wen, Juan Aparicio Ojea, Alice
M. Agogino, Aviv Tamar, Pieter Abbeel | Reinforcement Learning on Variable Impedance Controller for
High-Precision Robotic Assembly | ICRA 2019. More video results at
https://sites.google.com/berkeley.edu/rl-robotic-assembly/home | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Precise robotic manipulation skills are desirable in many industrial
settings, reinforcement learning (RL) methods hold the promise of acquiring
these skills autonomously. In this paper, we explicitly consider incorporating
operational space force/torque information into reinforcement learning; this is
motivated by h... | [
{
"created": "Mon, 4 Mar 2019 04:18:59 GMT",
"version": "v1"
},
{
"created": "Wed, 20 Mar 2019 08:14:08 GMT",
"version": "v2"
}
] | 2019-03-21 | [
[
"Luo",
"Jianlan",
""
],
[
"Solowjow",
"Eugen",
""
],
[
"Wen",
"Chengtao",
""
],
[
"Ojea",
"Juan Aparicio",
""
],
[
"Agogino",
"Alice M.",
""
],
[
"Tamar",
"Aviv",
""
],
[
"Abbeel",
"Pieter",
""
]
] | Precise robotic manipulation skills are desirable in many industrial settings, reinforcement learning (RL) methods hold the promise of acquiring these skills autonomously. In this paper, we explicitly consider incorporating operational space force/torque information into reinforcement learning; this is motivated by hum... |
2110.11827 | Qiyue Yu | Qi-Yue Yu and Ke-Xun Song | Uniquely Decodable Multi-Amplitude Sequence for Grant-Free
Multiple-Access Adder Channels | 29 pages, 7 figures | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Grant-free multiple-access (GFMA) is a valuable research topic, since it can
support multiuser transmission with low latency. This paper constructs novel
uniquely-decodable multi-amplitude sequence (UDAS) sets for GFMA systems, which
can provide high spectrum efficiency (SE) with low-complexity active user
detection ... | [
{
"created": "Fri, 22 Oct 2021 15:03:36 GMT",
"version": "v1"
},
{
"created": "Sat, 27 Nov 2021 08:48:58 GMT",
"version": "v2"
},
{
"created": "Fri, 8 Apr 2022 07:26:48 GMT",
"version": "v3"
}
] | 2022-04-11 | [
[
"Yu",
"Qi-Yue",
""
],
[
"Song",
"Ke-Xun",
""
]
] | Grant-free multiple-access (GFMA) is a valuable research topic, since it can support multiuser transmission with low latency. This paper constructs novel uniquely-decodable multi-amplitude sequence (UDAS) sets for GFMA systems, which can provide high spectrum efficiency (SE) with low-complexity active user detection (A... |
2405.19654 | Jinxia Yang | Jinxia Yang, Bing Su, Wayne Xin Zhao, Ji-Rong Wen | Unlocking the Power of Spatial and Temporal Information in Medical
Multimodal Pre-training | Accepted at ICML 2024 | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Medical vision-language pre-training methods mainly leverage the
correspondence between paired medical images and radiological reports. Although
multi-view spatial images and temporal sequences of image-report pairs are
available in off-the-shelf multi-modal medical datasets, most existing methods
have not thoroughly... | [
{
"created": "Thu, 30 May 2024 03:15:09 GMT",
"version": "v1"
}
] | 2024-05-31 | [
[
"Yang",
"Jinxia",
""
],
[
"Su",
"Bing",
""
],
[
"Zhao",
"Wayne Xin",
""
],
[
"Wen",
"Ji-Rong",
""
]
] | Medical vision-language pre-training methods mainly leverage the correspondence between paired medical images and radiological reports. Although multi-view spatial images and temporal sequences of image-report pairs are available in off-the-shelf multi-modal medical datasets, most existing methods have not thoroughly t... |
2002.04187 | Zhengxin Li | Zhengxin Li | Exact Indexing of Time Series under Dynamic Time Warping | null | null | null | null | cs.IR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Dynamic time warping (DTW) is a robust similarity measure of time series.
However, it does not satisfy triangular inequality and has high computational
complexity, severely limiting its applications in similarity search on
large-scale datasets. Usually, we resort to lower bounding distances to speed
up similarity sea... | [
{
"created": "Tue, 11 Feb 2020 03:34:48 GMT",
"version": "v1"
}
] | 2020-02-12 | [
[
"Li",
"Zhengxin",
""
]
] | Dynamic time warping (DTW) is a robust similarity measure of time series. However, it does not satisfy triangular inequality and has high computational complexity, severely limiting its applications in similarity search on large-scale datasets. Usually, we resort to lower bounding distances to speed up similarity searc... |
1904.00850 | Miguel Romero | Pablo Barcel\'o, Diego Figueira, Miguel Romero | Boundedness of Conjunctive Regular Path Queries | null | null | null | null | cs.DB cs.DM cs.FL cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the boundedness problem for unions of conjunctive regular path
queries with inverses (UC2RPQs). This is the problem of, given a UC2RPQ,
checking whether it is equivalent to a union of conjunctive queries (UCQ). We
show the problem to be ExpSpace-complete, thus coinciding with the complexity
of containment fo... | [
{
"created": "Mon, 1 Apr 2019 13:47:58 GMT",
"version": "v1"
}
] | 2019-04-02 | [
[
"Barceló",
"Pablo",
""
],
[
"Figueira",
"Diego",
""
],
[
"Romero",
"Miguel",
""
]
] | We study the boundedness problem for unions of conjunctive regular path queries with inverses (UC2RPQs). This is the problem of, given a UC2RPQ, checking whether it is equivalent to a union of conjunctive queries (UCQ). We show the problem to be ExpSpace-complete, thus coinciding with the complexity of containment for ... |
2207.00422 | An Yan | An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian McAuley | Personalized Showcases: Generating Multi-Modal Explanations for
Recommendations | Accepted to SIGIR-23, with additional dataset details. Code and data:
https://github.com/zzxslp/Gest | null | null | null | cs.IR cs.AI cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Existing explanation models generate only text for recommendations but still
struggle to produce diverse contents. In this paper, to further enrich
explanations, we propose a new task named personalized showcases, in which we
provide both textual and visual information to explain our recommendations.
Specifically, we... | [
{
"created": "Thu, 30 Jun 2022 01:43:58 GMT",
"version": "v1"
},
{
"created": "Thu, 6 Apr 2023 17:59:43 GMT",
"version": "v2"
}
] | 2023-04-07 | [
[
"Yan",
"An",
""
],
[
"He",
"Zhankui",
""
],
[
"Li",
"Jiacheng",
""
],
[
"Zhang",
"Tianyang",
""
],
[
"McAuley",
"Julian",
""
]
] | Existing explanation models generate only text for recommendations but still struggle to produce diverse contents. In this paper, to further enrich explanations, we propose a new task named personalized showcases, in which we provide both textual and visual information to explain our recommendations. Specifically, we f... |
2201.06597 | Nikolaj Ignatieff Schwartzbach | Ioannis Caragiannis, Nikolaj I. Schwartzbach | Outsourcing Adjudication to Strategic Jurors | null | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study a scenario where an adjudication task (e.g., the resolution of a
binary dispute) is outsourced to a set of agents who are appointed as jurors.
This scenario is particularly relevant in a Web3 environment, where no
verification of the adjudication outcome is possible, and the appointed agents
are, in principl... | [
{
"created": "Mon, 17 Jan 2022 19:22:52 GMT",
"version": "v1"
},
{
"created": "Wed, 17 Aug 2022 11:31:00 GMT",
"version": "v2"
},
{
"created": "Sun, 22 Jan 2023 10:37:04 GMT",
"version": "v3"
}
] | 2023-01-24 | [
[
"Caragiannis",
"Ioannis",
""
],
[
"Schwartzbach",
"Nikolaj I.",
""
]
] | We study a scenario where an adjudication task (e.g., the resolution of a binary dispute) is outsourced to a set of agents who are appointed as jurors. This scenario is particularly relevant in a Web3 environment, where no verification of the adjudication outcome is possible, and the appointed agents are, in principle,... |
2007.04422 | Vatsal Goel | Vatsal Goel, Mohit Chandak, Ashish Anand and Prithwijit Guha | IQ-VQA: Intelligent Visual Question Answering | null | null | null | null | cs.CV cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Even though there has been tremendous progress in the field of Visual
Question Answering, models today still tend to be inconsistent and brittle. To
this end, we propose a model-independent cyclic framework which increases
consistency and robustness of any VQA architecture. We train our models to
answer the original ... | [
{
"created": "Wed, 8 Jul 2020 20:41:52 GMT",
"version": "v1"
}
] | 2020-07-10 | [
[
"Goel",
"Vatsal",
""
],
[
"Chandak",
"Mohit",
""
],
[
"Anand",
"Ashish",
""
],
[
"Guha",
"Prithwijit",
""
]
] | Even though there has been tremendous progress in the field of Visual Question Answering, models today still tend to be inconsistent and brittle. To this end, we propose a model-independent cyclic framework which increases consistency and robustness of any VQA architecture. We train our models to answer the original qu... |
1805.10198 | Manijeh Bashar | Alister Burr, Manijeh Bashar, Dick Maryopi | Cooperative access networks: Optimum fronthaul quantization in
distributed Massive MIMO and cloud RAN | 7 pages | VTC 2018 | null | null | cs.IT eess.SP math.IT | http://creativecommons.org/publicdomain/zero/1.0/ | We consider cooperative radio access network architectures, especially
distributed massive MIMO and Cloud RAN, considering their similarities and
differences. We address in particular the major challenge posed to both by the
implementation of a high capacity fronthaul network to link the distributed
access points to ... | [
{
"created": "Fri, 25 May 2018 15:32:16 GMT",
"version": "v1"
}
] | 2018-05-28 | [
[
"Burr",
"Alister",
""
],
[
"Bashar",
"Manijeh",
""
],
[
"Maryopi",
"Dick",
""
]
] | We consider cooperative radio access network architectures, especially distributed massive MIMO and Cloud RAN, considering their similarities and differences. We address in particular the major challenge posed to both by the implementation of a high capacity fronthaul network to link the distributed access points to th... |
1302.2246 | Patrick Sol\'e | Hugues Randriam, Lin Sok, and Patrick Sol\'e | Lower bounds on the minimum distance of long codes in the Lee metric | null | null | null | 13 pages, 7 figures | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Gilbert type bound for codes in the title is reviewed, both for small and
large alphabets. Constructive lower bounds better than these existential bounds
are derived from geometric codes, either over Fp or Fp2 ; or over even degree
extensions of Fp: In the latter case the approach is concatena- tion with a
good c... | [
{
"created": "Sat, 9 Feb 2013 17:13:10 GMT",
"version": "v1"
}
] | 2013-02-12 | [
[
"Randriam",
"Hugues",
""
],
[
"Sok",
"Lin",
""
],
[
"Solé",
"Patrick",
""
]
] | The Gilbert type bound for codes in the title is reviewed, both for small and large alphabets. Constructive lower bounds better than these existential bounds are derived from geometric codes, either over Fp or Fp2 ; or over even degree extensions of Fp: In the latter case the approach is concatena- tion with a good cod... |
1205.6832 | Michael Zock | Ga\"elle Lortal (TRT), Brigitte Grau (LIMSI), Michael Zock (LIF) | Syst\`eme d'aide \`a l'acc\`es lexical : trouver le mot qu'on a sur le
bout de la langue | TALN, Fez : Maroc (2004) | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The study of the Tip of the Tongue phenomenon (TOT) provides valuable clues
and insights concerning the organisation of the mental lexicon (meaning, number
of syllables, relation with other words, etc.). This paper describes a tool
based on psycho-linguistic observations concerning the TOT phenomenon. We've
built it ... | [
{
"created": "Fri, 20 Jan 2012 17:33:47 GMT",
"version": "v1"
}
] | 2012-06-01 | [
[
"Lortal",
"Gaëlle",
"",
"TRT"
],
[
"Grau",
"Brigitte",
"",
"LIMSI"
],
[
"Zock",
"Michael",
"",
"LIF"
]
] | The study of the Tip of the Tongue phenomenon (TOT) provides valuable clues and insights concerning the organisation of the mental lexicon (meaning, number of syllables, relation with other words, etc.). This paper describes a tool based on psycho-linguistic observations concerning the TOT phenomenon. We've built it to... |
2206.03617 | Virendra Marathe | Virendra J. Marathe and Pallika Kanani and Daniel W. Peterson and Guy
Steele Jr | Subject Granular Differential Privacy in Federated Learning | null | null | null | null | cs.LG cs.CR | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This paper considers subject level privacy in the FL setting, where a subject
is an individual whose private information is embodied by several data items
either confined within a single federation user or distributed across multiple
federation users. We propose two new algorithms that enforce subject level DP
at eac... | [
{
"created": "Tue, 7 Jun 2022 23:54:36 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Jun 2023 15:37:11 GMT",
"version": "v2"
}
] | 2023-06-16 | [
[
"Marathe",
"Virendra J.",
""
],
[
"Kanani",
"Pallika",
""
],
[
"Peterson",
"Daniel W.",
""
],
[
"Steele",
"Guy",
"Jr"
]
] | This paper considers subject level privacy in the FL setting, where a subject is an individual whose private information is embodied by several data items either confined within a single federation user or distributed across multiple federation users. We propose two new algorithms that enforce subject level DP at each ... |
1304.0859 | Mohammed Nabil El Korso M. N. El Korso | Xin Zhang, Mohammed Nabil El Korso and Marius Pesavento | Angular resolution limit for deterministic correlated sources | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper is devoted to the analysis of the angular resolution limit (ARL),
an important performance measure in the directions-of-arrival estimation
theory. The main fruit of our endeavor takes the form of an explicit,
analytical expression of this resolution limit, w.r.t. the angular parameters
of interest between ... | [
{
"created": "Wed, 3 Apr 2013 07:40:17 GMT",
"version": "v1"
}
] | 2013-04-04 | [
[
"Zhang",
"Xin",
""
],
[
"Korso",
"Mohammed Nabil El",
""
],
[
"Pesavento",
"Marius",
""
]
] | This paper is devoted to the analysis of the angular resolution limit (ARL), an important performance measure in the directions-of-arrival estimation theory. The main fruit of our endeavor takes the form of an explicit, analytical expression of this resolution limit, w.r.t. the angular parameters of interest between tw... |
1409.6428 | Laure Berti | Dalia Attia Waguih and Laure Berti-Equille (Qatar Computing Research
Institute) | Truth Discovery Algorithms: An Experimental Evaluation | 13 pages, 17 figures, Qatar Computing Research Institute Technical
Report, May 2014 | null | null | QCRI Technical Report, May 2014 | cs.DB | http://creativecommons.org/licenses/by/3.0/ | A fundamental problem in data fusion is to determine the veracity of
multi-source data in order to resolve conflicts. While previous work in truth
discovery has proved to be useful in practice for specific settings, sources'
behavior or data set characteristics, there has been limited systematic
comparison of the com... | [
{
"created": "Tue, 23 Sep 2014 07:11:31 GMT",
"version": "v1"
}
] | 2014-09-24 | [
[
"Waguih",
"Dalia Attia",
"",
"Qatar Computing Research\n Institute"
],
[
"Berti-Equille",
"Laure",
"",
"Qatar Computing Research\n Institute"
]
] | A fundamental problem in data fusion is to determine the veracity of multi-source data in order to resolve conflicts. While previous work in truth discovery has proved to be useful in practice for specific settings, sources' behavior or data set characteristics, there has been limited systematic comparison of the compe... |
2306.00959 | Samira Goudarzi | Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi
Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh | Dynamic Algorithms for Matroid Submodular Maximization | null | null | null | null | cs.DS cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Submodular maximization under matroid and cardinality constraints are
classical problems with a wide range of applications in machine learning,
auction theory, and combinatorial optimization. In this paper, we consider
these problems in the dynamic setting, where (1) we have oracle access to a
monotone submodular fun... | [
{
"created": "Thu, 1 Jun 2023 17:54:15 GMT",
"version": "v1"
},
{
"created": "Tue, 26 Dec 2023 12:30:52 GMT",
"version": "v2"
}
] | 2023-12-27 | [
[
"Banihashem",
"Kiarash",
""
],
[
"Biabani",
"Leyla",
""
],
[
"Goudarzi",
"Samira",
""
],
[
"Hajiaghayi",
"MohammadTaghi",
""
],
[
"Jabbarzade",
"Peyman",
""
],
[
"Monemizadeh",
"Morteza",
""
]
] | Submodular maximization under matroid and cardinality constraints are classical problems with a wide range of applications in machine learning, auction theory, and combinatorial optimization. In this paper, we consider these problems in the dynamic setting, where (1) we have oracle access to a monotone submodular funct... |
2303.16859 | Ruben Interian | Ruben Interian, Francisco A. Rodrigues | Group polarization, influence, and domination in online interaction
networks: A case study of the 2022 Brazilian elections | null | null | 10.1088/2632-072X/acf6a4 | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we investigate the evolution of polarization, influence, and
domination in online interaction networks. Twitter data collected before and
during the 2022 Brazilian elections is used as a case study. From a theoretical
perspective, we develop a methodology called d-modularity that allows
discovering the ... | [
{
"created": "Wed, 29 Mar 2023 17:17:15 GMT",
"version": "v1"
}
] | 2023-09-25 | [
[
"Interian",
"Ruben",
""
],
[
"Rodrigues",
"Francisco A.",
""
]
] | In this work, we investigate the evolution of polarization, influence, and domination in online interaction networks. Twitter data collected before and during the 2022 Brazilian elections is used as a case study. From a theoretical perspective, we develop a methodology called d-modularity that allows discovering the co... |
2102.00912 | Zahraa Abdallah Dr | Sean-Kelly Palicki, Shereen Fouad, Mariam Adedoyin-Olowe, Zahraa S.
Abdallah | Transfer Learning Approach for Detecting Psychological Distress in
Brexit Tweets | SAC 2021, MLA - Machine Learning and its Applications | null | null | null | cs.CL cs.LG cs.SI | http://creativecommons.org/licenses/by/4.0/ | In 2016, United Kingdom (UK) citizens voted to leave the European Union (EU),
which was officially implemented in 2020. During this period, UK residents
experienced a great deal of uncertainty around the UK's continued relationship
with the EU. Many people have used social media platforms to express their
emotions ab... | [
{
"created": "Mon, 25 Jan 2021 16:54:37 GMT",
"version": "v1"
}
] | 2021-02-02 | [
[
"Palicki",
"Sean-Kelly",
""
],
[
"Fouad",
"Shereen",
""
],
[
"Adedoyin-Olowe",
"Mariam",
""
],
[
"Abdallah",
"Zahraa S.",
""
]
] | In 2016, United Kingdom (UK) citizens voted to leave the European Union (EU), which was officially implemented in 2020. During this period, UK residents experienced a great deal of uncertainty around the UK's continued relationship with the EU. Many people have used social media platforms to express their emotions abou... |
2106.07344 | Pervaiz Khan | Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel, Sheraz Ahmed | Understanding Information Spreading Mechanisms During COVID-19 Pandemic
by Analyzing the Impact of Tweet Text and User Features for Retweet
Prediction | null | null | null | null | cs.SI cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | COVID-19 has affected the world economy and the daily life routine of almost
everyone. It has been a hot topic on social media platforms such as Twitter,
Facebook, etc. These social media platforms enable users to share information
with other users who can reshare this information, thus causing this
information to sp... | [
{
"created": "Wed, 26 May 2021 15:55:58 GMT",
"version": "v1"
}
] | 2021-06-15 | [
[
"Khan",
"Pervaiz Iqbal",
""
],
[
"Razzak",
"Imran",
""
],
[
"Dengel",
"Andreas",
""
],
[
"Ahmed",
"Sheraz",
""
]
] | COVID-19 has affected the world economy and the daily life routine of almost everyone. It has been a hot topic on social media platforms such as Twitter, Facebook, etc. These social media platforms enable users to share information with other users who can reshare this information, thus causing this information to spre... |
2301.13629 | Haomin Wen | Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Qingsong Wen, Roger
Zimmermann, Yuxuan Liang | DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising
Diffusion Models | Accepted to the 31st ACM SIGSPATIAL International Conference on
Advances in Geographic Information Systems | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Spatio-temporal graph neural networks (STGNN) have emerged as the dominant
model for spatio-temporal graph (STG) forecasting. Despite their success, they
fail to model intrinsic uncertainties within STG data, which cripples their
practicality in downstream tasks for decision-making. To this end, this paper
focuses on... | [
{
"created": "Tue, 31 Jan 2023 13:42:36 GMT",
"version": "v1"
},
{
"created": "Tue, 27 Jun 2023 04:11:03 GMT",
"version": "v2"
},
{
"created": "Mon, 16 Oct 2023 02:01:25 GMT",
"version": "v3"
},
{
"created": "Sun, 10 Mar 2024 01:31:24 GMT",
"version": "v4"
}
] | 2024-03-12 | [
[
"Wen",
"Haomin",
""
],
[
"Lin",
"Youfang",
""
],
[
"Xia",
"Yutong",
""
],
[
"Wan",
"Huaiyu",
""
],
[
"Wen",
"Qingsong",
""
],
[
"Zimmermann",
"Roger",
""
],
[
"Liang",
"Yuxuan",
""
]
] | Spatio-temporal graph neural networks (STGNN) have emerged as the dominant model for spatio-temporal graph (STG) forecasting. Despite their success, they fail to model intrinsic uncertainties within STG data, which cripples their practicality in downstream tasks for decision-making. To this end, this paper focuses on p... |
2406.10519 | Pengfei Gu | Pengfei Gu, Yejia Zhang, Huimin Li, Chaoli Wang, and Danny Z. Chen | Self Pre-training with Topology- and Spatiality-aware Masked
Autoencoders for 3D Medical Image Segmentation | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | Masked Autoencoders (MAEs) have been shown to be effective in pre-training
Vision Transformers (ViTs) for natural and medical image analysis problems. By
reconstructing missing pixel/voxel information in visible patches, a ViT
encoder can aggregate contextual information for downstream tasks. But,
existing MAE pre-tr... | [
{
"created": "Sat, 15 Jun 2024 06:15:17 GMT",
"version": "v1"
},
{
"created": "Mon, 15 Jul 2024 20:35:00 GMT",
"version": "v2"
}
] | 2024-07-17 | [
[
"Gu",
"Pengfei",
""
],
[
"Zhang",
"Yejia",
""
],
[
"Li",
"Huimin",
""
],
[
"Wang",
"Chaoli",
""
],
[
"Chen",
"Danny Z.",
""
]
] | Masked Autoencoders (MAEs) have been shown to be effective in pre-training Vision Transformers (ViTs) for natural and medical image analysis problems. By reconstructing missing pixel/voxel information in visible patches, a ViT encoder can aggregate contextual information for downstream tasks. But, existing MAE pre-trai... |
2008.01238 | Yijie Mao | Yijie Mao and Enrico Piovano and Bruno Clerckx | Rate-Splitting Multiple Access for Overloaded Cellular Internet of
Things | 30 pages, 10 figures, submitted to the potential transaction for
publication | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the near future, it is envisioned that cellular networks will have to cope
with extensive Internet of Things (IoT) devices. Therefore, a required feature
of cellular IoT will be the capability to serve simultaneously a large number
of devices with heterogeneous demands and qualities of Channel State
Information at... | [
{
"created": "Mon, 3 Aug 2020 23:12:26 GMT",
"version": "v1"
}
] | 2020-08-05 | [
[
"Mao",
"Yijie",
""
],
[
"Piovano",
"Enrico",
""
],
[
"Clerckx",
"Bruno",
""
]
] | In the near future, it is envisioned that cellular networks will have to cope with extensive Internet of Things (IoT) devices. Therefore, a required feature of cellular IoT will be the capability to serve simultaneously a large number of devices with heterogeneous demands and qualities of Channel State Information at t... |
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