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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2305.16269 | Shady Abu-Hussein | Shady Abu-Hussein, and Raja Giryes | UDPM: Upsampling Diffusion Probabilistic Models | null | null | null | null | cs.CV cs.LG eess.IV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Denoising Diffusion Probabilistic Models (DDPM) have recently gained
significant attention. DDPMs compose a Markovian process that begins in the
data domain and gradually adds noise until reaching pure white noise. DDPMs
generate high-quality samples from complex data distributions by defining an
inverse process and ... | [
{
"created": "Thu, 25 May 2023 17:25:14 GMT",
"version": "v1"
},
{
"created": "Mon, 27 May 2024 18:02:56 GMT",
"version": "v2"
},
{
"created": "Mon, 8 Jul 2024 15:32:52 GMT",
"version": "v3"
}
] | 2024-07-09 | [
[
"Abu-Hussein",
"Shady",
""
],
[
"Giryes",
"Raja",
""
]
] | Denoising Diffusion Probabilistic Models (DDPM) have recently gained significant attention. DDPMs compose a Markovian process that begins in the data domain and gradually adds noise until reaching pure white noise. DDPMs generate high-quality samples from complex data distributions by defining an inverse process and tr... |
1403.0012 | Xinchen Zhang | Xinchen Zhang and Martin Haenggi | A Stochastic Geometry Analysis of Inter-cell Interference Coordination
and Intra-cell Diversity | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Inter-cell interference coordination (ICIC) and intra-cell diversity (ICD)
play important roles in improving cellular downlink coverage. Modeling cellular
base stations (BSs) as a homogeneous Poisson point process (PPP), this paper
provides explicit finite-integral expressions for the coverage probability with
ICIC a... | [
{
"created": "Fri, 28 Feb 2014 21:30:24 GMT",
"version": "v1"
},
{
"created": "Mon, 31 Mar 2014 16:22:56 GMT",
"version": "v2"
},
{
"created": "Sat, 10 May 2014 22:08:08 GMT",
"version": "v3"
},
{
"created": "Sun, 15 Mar 2015 21:35:32 GMT",
"version": "v4"
}
] | 2015-03-17 | [
[
"Zhang",
"Xinchen",
""
],
[
"Haenggi",
"Martin",
""
]
] | Inter-cell interference coordination (ICIC) and intra-cell diversity (ICD) play important roles in improving cellular downlink coverage. Modeling cellular base stations (BSs) as a homogeneous Poisson point process (PPP), this paper provides explicit finite-integral expressions for the coverage probability with ICIC and... |
2006.05964 | David Budden | David Budden, Adam Marblestone, Eren Sezener, Tor Lattimore, Greg
Wayne, Joel Veness | Gaussian Gated Linear Networks | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose the Gaussian Gated Linear Network (G-GLN), an extension to the
recently proposed GLN family of deep neural networks. Instead of using
backpropagation to learn features, GLNs have a distributed and local credit
assignment mechanism based on optimizing a convex objective. This gives rise to
many desirable pr... | [
{
"created": "Wed, 10 Jun 2020 17:25:12 GMT",
"version": "v1"
},
{
"created": "Wed, 21 Oct 2020 16:39:03 GMT",
"version": "v2"
}
] | 2020-10-22 | [
[
"Budden",
"David",
""
],
[
"Marblestone",
"Adam",
""
],
[
"Sezener",
"Eren",
""
],
[
"Lattimore",
"Tor",
""
],
[
"Wayne",
"Greg",
""
],
[
"Veness",
"Joel",
""
]
] | We propose the Gaussian Gated Linear Network (G-GLN), an extension to the recently proposed GLN family of deep neural networks. Instead of using backpropagation to learn features, GLNs have a distributed and local credit assignment mechanism based on optimizing a convex objective. This gives rise to many desirable prop... |
1703.07994 | Andreas Pieris | Pablo Barcelo, Gerald Berger, Andreas Pieris | Containment for Rule-Based Ontology-Mediated Queries | null | null | null | null | cs.DB cs.AI cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many efforts have been dedicated to identifying restrictions on ontologies
expressed as tuple-generating dependencies (tgds), a.k.a. existential rules,
that lead to the decidability for the problem of answering ontology-mediated
queries (OMQs). This has given rise to three families of formalisms: guarded,
non-recursi... | [
{
"created": "Thu, 23 Mar 2017 10:44:18 GMT",
"version": "v1"
},
{
"created": "Sun, 2 Apr 2017 16:13:16 GMT",
"version": "v2"
},
{
"created": "Wed, 19 Apr 2017 00:26:02 GMT",
"version": "v3"
}
] | 2017-04-20 | [
[
"Barcelo",
"Pablo",
""
],
[
"Berger",
"Gerald",
""
],
[
"Pieris",
"Andreas",
""
]
] | Many efforts have been dedicated to identifying restrictions on ontologies expressed as tuple-generating dependencies (tgds), a.k.a. existential rules, that lead to the decidability for the problem of answering ontology-mediated queries (OMQs). This has given rise to three families of formalisms: guarded, non-recursive... |
1011.3019 | Shriprakash Sinha | Shriprakash Sinha and Gert J. ter Horst | Bounded Multivariate Surfaces On Monovariate Internal Functions | 23 pages, 15 figures, 1 table | IEEE Intl. Conf. on Image Processing, Brussels, Sept. 11 to 14,
2011 | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Combining the properties of monovariate internal functions as proposed in
Kolmogorov superimposition theorem, in tandem with the bounds wielded by the
multivariate formulation of Chebyshev inequality, a hybrid model is presented,
that decomposes images into homogeneous probabilistically bounded multivariate
surfaces.... | [
{
"created": "Fri, 12 Nov 2010 19:48:13 GMT",
"version": "v1"
}
] | 2011-06-03 | [
[
"Sinha",
"Shriprakash",
""
],
[
"ter Horst",
"Gert J.",
""
]
] | Combining the properties of monovariate internal functions as proposed in Kolmogorov superimposition theorem, in tandem with the bounds wielded by the multivariate formulation of Chebyshev inequality, a hybrid model is presented, that decomposes images into homogeneous probabilistically bounded multivariate surfaces. G... |
1402.2489 | Yingjie Zhou | Yingjie Zhou, Nicholas Maxemchuk, Xiangying Qian, Chen Wang | The Fair Distribution of Power to Electric Vehicles: An Alternative to
Pricing | accepted in IEEE Smartgridcomm'14 | null | 10.1109/SmartGridComm.2014.7007727 | null | cs.NI cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As the popularity of electric vehicles increases, the demand for more power
can increase more rapidly than our ability to install additional generating
capacity. In the long term we expect that the supply and demand will become
balanced. However, in the interim the rate at which electric vehicles can be
deployed will... | [
{
"created": "Tue, 11 Feb 2014 14:06:36 GMT",
"version": "v1"
},
{
"created": "Wed, 30 Jul 2014 01:30:44 GMT",
"version": "v2"
}
] | 2016-11-15 | [
[
"Zhou",
"Yingjie",
""
],
[
"Maxemchuk",
"Nicholas",
""
],
[
"Qian",
"Xiangying",
""
],
[
"Wang",
"Chen",
""
]
] | As the popularity of electric vehicles increases, the demand for more power can increase more rapidly than our ability to install additional generating capacity. In the long term we expect that the supply and demand will become balanced. However, in the interim the rate at which electric vehicles can be deployed will d... |
1907.10046 | Naftali Cohen | Naftali Cohen, Tucker Balch, and Manuela Veloso | Trading via Image Classification | null | null | null | null | cs.CV q-fin.CP q-fin.TR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The art of systematic financial trading evolved with an array of approaches,
ranging from simple strategies to complex algorithms all relying, primary, on
aspects of time-series analysis. Recently, after visiting the trading floor of
a leading financial institution, we noticed that traders always execute their
trade ... | [
{
"created": "Tue, 23 Jul 2019 17:58:10 GMT",
"version": "v1"
},
{
"created": "Wed, 2 Oct 2019 14:02:59 GMT",
"version": "v2"
},
{
"created": "Mon, 26 Oct 2020 05:01:18 GMT",
"version": "v3"
}
] | 2020-10-27 | [
[
"Cohen",
"Naftali",
""
],
[
"Balch",
"Tucker",
""
],
[
"Veloso",
"Manuela",
""
]
] | The art of systematic financial trading evolved with an array of approaches, ranging from simple strategies to complex algorithms all relying, primary, on aspects of time-series analysis. Recently, after visiting the trading floor of a leading financial institution, we noticed that traders always execute their trade or... |
2402.17653 | David Williams | David S. W. Williams, Daniele De Martini, Matthew Gadd and Paul Newman | Mitigating Distributional Shift in Semantic Segmentation via Uncertainty
Estimation from Unlabelled Data | Accepted for publication in IEEE Transactions on Robotics (T-RO) | null | null | null | cs.CV cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Knowing when a trained segmentation model is encountering data that is
different to its training data is important. Understanding and mitigating the
effects of this play an important part in their application from a performance
and assurance perspective - this being a safety concern in applications such as
autonomous... | [
{
"created": "Tue, 27 Feb 2024 16:23:11 GMT",
"version": "v1"
}
] | 2024-02-28 | [
[
"Williams",
"David S. W.",
""
],
[
"De Martini",
"Daniele",
""
],
[
"Gadd",
"Matthew",
""
],
[
"Newman",
"Paul",
""
]
] | Knowing when a trained segmentation model is encountering data that is different to its training data is important. Understanding and mitigating the effects of this play an important part in their application from a performance and assurance perspective - this being a safety concern in applications such as autonomous v... |
2407.16975 | Xinshuai Dong | Xinshuai Dong and Ignavier Ng and Biwei Huang and Yuewen Sun and
Songyao Jin and Roberto Legaspi and Peter Spirtes and Kun Zhang | On the Parameter Identifiability of Partially Observed Linear Causal
Models | null | null | null | null | cs.LG stat.ME | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Linear causal models are important tools for modeling causal dependencies and
yet in practice, only a subset of the variables can be observed. In this paper,
we examine the parameter identifiability of these models by investigating
whether the edge coefficients can be recovered given the causal structure and
partiall... | [
{
"created": "Wed, 24 Jul 2024 03:43:55 GMT",
"version": "v1"
}
] | 2024-07-25 | [
[
"Dong",
"Xinshuai",
""
],
[
"Ng",
"Ignavier",
""
],
[
"Huang",
"Biwei",
""
],
[
"Sun",
"Yuewen",
""
],
[
"Jin",
"Songyao",
""
],
[
"Legaspi",
"Roberto",
""
],
[
"Spirtes",
"Peter",
""
],
[
"Zhang",
... | Linear causal models are important tools for modeling causal dependencies and yet in practice, only a subset of the variables can be observed. In this paper, we examine the parameter identifiability of these models by investigating whether the edge coefficients can be recovered given the causal structure and partially ... |
2312.16335 | Mariano Tepper | Mariano Tepper, Ishwar Singh Bhati, Cecilia Aguerrebere, Mark
Hildebrand, Ted Willke | LeanVec: Searching vectors faster by making them fit | null | null | null | null | cs.LG cs.DB | http://creativecommons.org/licenses/by-sa/4.0/ | Modern deep learning models have the ability to generate high-dimensional
vectors whose similarity reflects semantic resemblance. Thus, similarity
search, i.e., the operation of retrieving those vectors in a large collection
that are similar to a given query, has become a critical component of a wide
range of applica... | [
{
"created": "Tue, 26 Dec 2023 21:14:59 GMT",
"version": "v1"
},
{
"created": "Wed, 3 Apr 2024 16:18:24 GMT",
"version": "v2"
}
] | 2024-04-04 | [
[
"Tepper",
"Mariano",
""
],
[
"Bhati",
"Ishwar Singh",
""
],
[
"Aguerrebere",
"Cecilia",
""
],
[
"Hildebrand",
"Mark",
""
],
[
"Willke",
"Ted",
""
]
] | Modern deep learning models have the ability to generate high-dimensional vectors whose similarity reflects semantic resemblance. Thus, similarity search, i.e., the operation of retrieving those vectors in a large collection that are similar to a given query, has become a critical component of a wide range of applicati... |
1207.6452 | Frank Ruskey | Khalegh Mamakani and Frank Ruskey | A New Rose : The First Simple Symmetric 11-Venn Diagram | null | null | null | null | cs.CG math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A symmetric Venn diagram is one that is invariant under rotation, up to a
relabeling of curves. A simple Venn diagram is one in which at most two curves
intersect at any point. In this paper we introduce a new property of Venn
diagrams called crosscut symmetry, which is related to dihedral symmetry.
Utilizing a compu... | [
{
"created": "Fri, 27 Jul 2012 05:57:49 GMT",
"version": "v1"
}
] | 2012-07-30 | [
[
"Mamakani",
"Khalegh",
""
],
[
"Ruskey",
"Frank",
""
]
] | A symmetric Venn diagram is one that is invariant under rotation, up to a relabeling of curves. A simple Venn diagram is one in which at most two curves intersect at any point. In this paper we introduce a new property of Venn diagrams called crosscut symmetry, which is related to dihedral symmetry. Utilizing a compute... |
2302.09582 | Dan Zhang | Ming Li, Yusheng Su, Hsiu-Yuan Huang, Jiali Cheng, Xin Hu, Xinmiao
Zhang, Huadong Wang, Yujia Qin, Xiaozhi Wang, Kristen A. Lindquist, Zhiyuan
Liu, Dan Zhang | Language-Specific Representation of Emotion-Concept Knowledge Causally
Supports Emotion Inference | 44 pages, 14 figures, 2 tables | null | null | null | cs.AI cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Humans no doubt use language to communicate about their emotional
experiences, but does language in turn help humans understand emotions, or is
language just a vehicle of communication? This study used a form of artificial
intelligence (AI) known as large language models (LLMs) to assess whether
language-based repres... | [
{
"created": "Sun, 19 Feb 2023 14:21:33 GMT",
"version": "v1"
},
{
"created": "Tue, 21 Feb 2023 07:28:04 GMT",
"version": "v2"
},
{
"created": "Wed, 12 Jul 2023 09:04:14 GMT",
"version": "v3"
},
{
"created": "Mon, 21 Aug 2023 09:44:19 GMT",
"version": "v4"
},
{
"c... | 2024-03-13 | [
[
"Li",
"Ming",
""
],
[
"Su",
"Yusheng",
""
],
[
"Huang",
"Hsiu-Yuan",
""
],
[
"Cheng",
"Jiali",
""
],
[
"Hu",
"Xin",
""
],
[
"Zhang",
"Xinmiao",
""
],
[
"Wang",
"Huadong",
""
],
[
"Qin",
"Yujia",... | Humans no doubt use language to communicate about their emotional experiences, but does language in turn help humans understand emotions, or is language just a vehicle of communication? This study used a form of artificial intelligence (AI) known as large language models (LLMs) to assess whether language-based represen... |
2102.07053 | Aritra Mitra | Aritra Mitra, Rayana Jaafar, George J. Pappas, and Hamed Hassani | Linear Convergence in Federated Learning: Tackling Client Heterogeneity
and Sparse Gradients | Compared to the previous version, this version contains an additional
result pertaining to a general stochastic oracle model. It also includes
additional comparisons of our algorithm and results with relevant existing
works | null | null | null | cs.LG cs.DC cs.SY eess.SY math.OC | http://creativecommons.org/licenses/by/4.0/ | We consider a standard federated learning (FL) architecture where a group of
clients periodically coordinate with a central server to train a statistical
model. We develop a general algorithmic framework called FedLin to tackle some
of the key challenges intrinsic to FL, namely objective heterogeneity, systems
hetero... | [
{
"created": "Sun, 14 Feb 2021 02:47:35 GMT",
"version": "v1"
},
{
"created": "Mon, 30 Aug 2021 18:31:11 GMT",
"version": "v2"
}
] | 2021-09-01 | [
[
"Mitra",
"Aritra",
""
],
[
"Jaafar",
"Rayana",
""
],
[
"Pappas",
"George J.",
""
],
[
"Hassani",
"Hamed",
""
]
] | We consider a standard federated learning (FL) architecture where a group of clients periodically coordinate with a central server to train a statistical model. We develop a general algorithmic framework called FedLin to tackle some of the key challenges intrinsic to FL, namely objective heterogeneity, systems heteroge... |
2308.15157 | Leander F\'eret | L. F\'eret, A. Gepperth, S. Lambeck | On the improvement of model-predictive controllers | null | null | null | null | cs.LG cs.NE cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | This article investigates synthetic model-predictive control (MPC) problems
to demonstrate that an increased precision of the internal prediction model
(PM) automatially entails an improvement of the controller as a whole. In
contrast to reinforcement learning (RL), MPC uses the PM to predict subsequent
states of the... | [
{
"created": "Tue, 29 Aug 2023 09:39:12 GMT",
"version": "v1"
}
] | 2023-08-30 | [
[
"Féret",
"L.",
""
],
[
"Gepperth",
"A.",
""
],
[
"Lambeck",
"S.",
""
]
] | This article investigates synthetic model-predictive control (MPC) problems to demonstrate that an increased precision of the internal prediction model (PM) automatially entails an improvement of the controller as a whole. In contrast to reinforcement learning (RL), MPC uses the PM to predict subsequent states of the c... |
2009.00326 | Christophe Lecoutre | Christophe Lecoutre and Nicolas Szczepanski | PyCSP3: Modeling Combinatorial Constrained Problems in Python | null | null | null | null | cs.AI | http://creativecommons.org/licenses/by-sa/4.0/ | In this document, we introduce PyCSP$3$, a Python library that allows us to
write models of combinatorial constrained problems in a declarative manner.
Currently, with PyCSP$3$, you can write models of constraint satisfaction and
optimization problems. More specifically, you can build CSP (Constraint
Satisfaction Pro... | [
{
"created": "Tue, 1 Sep 2020 10:11:31 GMT",
"version": "v1"
},
{
"created": "Tue, 22 Jun 2021 16:29:31 GMT",
"version": "v2"
},
{
"created": "Sat, 18 Dec 2021 12:48:14 GMT",
"version": "v3"
},
{
"created": "Mon, 7 Nov 2022 10:04:07 GMT",
"version": "v4"
},
{
"cre... | 2023-12-12 | [
[
"Lecoutre",
"Christophe",
""
],
[
"Szczepanski",
"Nicolas",
""
]
] | In this document, we introduce PyCSP$3$, a Python library that allows us to write models of combinatorial constrained problems in a declarative manner. Currently, with PyCSP$3$, you can write models of constraint satisfaction and optimization problems. More specifically, you can build CSP (Constraint Satisfaction Probl... |
1104.0769 | Damien Chablat | Anatoly Pashkevich (IRCCyN), Alexandr Klimchik (IRCCyN), Damien
Chablat (IRCCyN) | Enhanced stiffness modeling of manipulators with passive joints | null | Mechanism and Machine Theory 46, 5 (2011) 10-18 | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The paper presents a methodology to enhance the stiffness analysis of serial
and parallel manipulators with passive joints. It directly takes into account
the loading influence on the manipulator configuration and, consequently, on
its Jacobians and Hessians. The main contributions of this paper are the
introduction ... | [
{
"created": "Tue, 5 Apr 2011 08:36:04 GMT",
"version": "v1"
}
] | 2011-04-06 | [
[
"Pashkevich",
"Anatoly",
"",
"IRCCyN"
],
[
"Klimchik",
"Alexandr",
"",
"IRCCyN"
],
[
"Chablat",
"Damien",
"",
"IRCCyN"
]
] | The paper presents a methodology to enhance the stiffness analysis of serial and parallel manipulators with passive joints. It directly takes into account the loading influence on the manipulator configuration and, consequently, on its Jacobians and Hessians. The main contributions of this paper are the introduction of... |
2010.01057 | Ikuya Yamada | Ikuya Yamada, Akari Asai, Hiroyuki Shindo, Hideaki Takeda, Yuji
Matsumoto | LUKE: Deep Contextualized Entity Representations with Entity-aware
Self-attention | EMNLP 2020 | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Entity representations are useful in natural language tasks involving
entities. In this paper, we propose new pretrained contextualized
representations of words and entities based on the bidirectional transformer.
The proposed model treats words and entities in a given text as independent
tokens, and outputs contextu... | [
{
"created": "Fri, 2 Oct 2020 15:38:03 GMT",
"version": "v1"
}
] | 2020-10-05 | [
[
"Yamada",
"Ikuya",
""
],
[
"Asai",
"Akari",
""
],
[
"Shindo",
"Hiroyuki",
""
],
[
"Takeda",
"Hideaki",
""
],
[
"Matsumoto",
"Yuji",
""
]
] | Entity representations are useful in natural language tasks involving entities. In this paper, we propose new pretrained contextualized representations of words and entities based on the bidirectional transformer. The proposed model treats words and entities in a given text as independent tokens, and outputs contextual... |
2303.11887 | Cornelia Ott | Cornelia Ott, Hedongliang Liu, Antonia Wachter-Zeh | Geometrical Properties of Balls in Sum-Rank Metric | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The sum-rank metric arises as an algebraic approach for coding in MIMO
block-fading channels and multishot network coding. Codes designed in the
sum-rank metric have raised interest in applications such as streaming codes,
robust coded distributed storage systems and post-quantum secure cryptosystems.
The sum-rank me... | [
{
"created": "Tue, 21 Mar 2023 14:28:03 GMT",
"version": "v1"
}
] | 2023-03-22 | [
[
"Ott",
"Cornelia",
""
],
[
"Liu",
"Hedongliang",
""
],
[
"Wachter-Zeh",
"Antonia",
""
]
] | The sum-rank metric arises as an algebraic approach for coding in MIMO block-fading channels and multishot network coding. Codes designed in the sum-rank metric have raised interest in applications such as streaming codes, robust coded distributed storage systems and post-quantum secure cryptosystems. The sum-rank metr... |
1706.05206 | Jakob Verbeek | Nitika Verma, Edmond Boyer, Jakob Verbeek | FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Convolutional neural networks (CNNs) have massively impacted visual
recognition in 2D images, and are now ubiquitous in state-of-the-art
approaches. CNNs do not easily extend, however, to data that are not
represented by regular grids, such as 3D shape meshes or other graph-structured
data, to which traditional local... | [
{
"created": "Fri, 16 Jun 2017 10:08:53 GMT",
"version": "v1"
},
{
"created": "Wed, 28 Mar 2018 13:27:39 GMT",
"version": "v2"
}
] | 2018-03-29 | [
[
"Verma",
"Nitika",
""
],
[
"Boyer",
"Edmond",
""
],
[
"Verbeek",
"Jakob",
""
]
] | Convolutional neural networks (CNNs) have massively impacted visual recognition in 2D images, and are now ubiquitous in state-of-the-art approaches. CNNs do not easily extend, however, to data that are not represented by regular grids, such as 3D shape meshes or other graph-structured data, to which traditional local c... |
2310.11346 | Hao Lu | Hao Lu, Yunpeng Zhang, Qing Lian, Dalong Du, Yingcong Chen | Towards Generalizable Multi-Camera 3D Object Detection via Perspective
Debiasing | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Detecting objects in 3D space using multiple cameras, known as Multi-Camera
3D Object Detection (MC3D-Det), has gained prominence with the advent of
bird's-eye view (BEV) approaches. However, these methods often struggle when
faced with unfamiliar testing environments due to the lack of diverse training
data encompas... | [
{
"created": "Tue, 17 Oct 2023 15:31:28 GMT",
"version": "v1"
},
{
"created": "Thu, 30 Nov 2023 07:06:20 GMT",
"version": "v2"
},
{
"created": "Mon, 25 Dec 2023 16:30:00 GMT",
"version": "v3"
}
] | 2023-12-27 | [
[
"Lu",
"Hao",
""
],
[
"Zhang",
"Yunpeng",
""
],
[
"Lian",
"Qing",
""
],
[
"Du",
"Dalong",
""
],
[
"Chen",
"Yingcong",
""
]
] | Detecting objects in 3D space using multiple cameras, known as Multi-Camera 3D Object Detection (MC3D-Det), has gained prominence with the advent of bird's-eye view (BEV) approaches. However, these methods often struggle when faced with unfamiliar testing environments due to the lack of diverse training data encompassi... |
2209.09210 | Haoyang Li | Haoyang Li | Use Classifier as Generator | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Image recognition/classification is a widely studied problem, but its reverse
problem, image generation, has drawn much less attention until recently. But
the vast majority of current methods for image generation require
training/retraining a classifier and/or a generator with certain constraints,
which can be hard t... | [
{
"created": "Sat, 10 Sep 2022 18:46:01 GMT",
"version": "v1"
}
] | 2022-09-20 | [
[
"Li",
"Haoyang",
""
]
] | Image recognition/classification is a widely studied problem, but its reverse problem, image generation, has drawn much less attention until recently. But the vast majority of current methods for image generation require training/retraining a classifier and/or a generator with certain constraints, which can be hard to ... |
2109.08723 | Hayeong Song | Hayeong Song, Yu Fu, Bahador Saket, and John Stasko | Understanding the Effects of Visualizing Missing Values on Visual Data
Exploration | null | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | When performing data analysis, people often confront data sets containing
missing values. We conducted an empirical study to understand the effects of
visualizing those missing values on participants' decision-making processes
while performing a visual data exploration task. More specifically, our study
participants ... | [
{
"created": "Fri, 17 Sep 2021 19:12:58 GMT",
"version": "v1"
}
] | 2021-09-21 | [
[
"Song",
"Hayeong",
""
],
[
"Fu",
"Yu",
""
],
[
"Saket",
"Bahador",
""
],
[
"Stasko",
"John",
""
]
] | When performing data analysis, people often confront data sets containing missing values. We conducted an empirical study to understand the effects of visualizing those missing values on participants' decision-making processes while performing a visual data exploration task. More specifically, our study participants pu... |
1906.10043 | Nestor Nahuel Deniz | Nestor N. Deniz, Guido Sanchez, Marina H. Murillo, Leonardo L.
Giovanini | Simultaneous state estimation and control for nonlinear systems subject
to bounded disturbances | null | null | null | null | cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we address the output--feedback control problem for nonlinear
systems under bounded disturbances using a moving horizon approach. The
controller is posed as an optimization-based problem that simultaneously
estimates the state trajectory and computes future control inputs. It minimizes
a criterion that ... | [
{
"created": "Mon, 24 Jun 2019 16:06:56 GMT",
"version": "v1"
},
{
"created": "Mon, 9 Dec 2019 14:55:09 GMT",
"version": "v2"
},
{
"created": "Wed, 18 Nov 2020 20:17:01 GMT",
"version": "v3"
}
] | 2020-11-20 | [
[
"Deniz",
"Nestor N.",
""
],
[
"Sanchez",
"Guido",
""
],
[
"Murillo",
"Marina H.",
""
],
[
"Giovanini",
"Leonardo L.",
""
]
] | In this work, we address the output--feedback control problem for nonlinear systems under bounded disturbances using a moving horizon approach. The controller is posed as an optimization-based problem that simultaneously estimates the state trajectory and computes future control inputs. It minimizes a criterion that in... |
2010.08923 | Chenyu You | Chenyu You, Nuo Chen, Fenglin Liu, Dongchao Yang, Yuexian Zou | Towards Data Distillation for End-to-end Spoken Conversational Question
Answering | null | null | null | null | cs.CL cs.AI eess.AS eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In spoken question answering, QA systems are designed to answer questions
from contiguous text spans within the related speech transcripts. However, the
most natural way that human seek or test their knowledge is via human
conversations. Therefore, we propose a new Spoken Conversational Question
Answering task (SCQA)... | [
{
"created": "Sun, 18 Oct 2020 05:53:39 GMT",
"version": "v1"
}
] | 2020-10-20 | [
[
"You",
"Chenyu",
""
],
[
"Chen",
"Nuo",
""
],
[
"Liu",
"Fenglin",
""
],
[
"Yang",
"Dongchao",
""
],
[
"Zou",
"Yuexian",
""
]
] | In spoken question answering, QA systems are designed to answer questions from contiguous text spans within the related speech transcripts. However, the most natural way that human seek or test their knowledge is via human conversations. Therefore, we propose a new Spoken Conversational Question Answering task (SCQA), ... |
2201.12938 | Mycal Tucker | Mycal Tucker, William Kuhl, Khizer Shahid, Seth Karten, Katia Sycara,
and Julie Shah | Probe-Based Interventions for Modifying Agent Behavior | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Neural nets are powerful function approximators, but the behavior of a given
neural net, once trained, cannot be easily modified. We wish, however, for
people to be able to influence neural agents' actions despite the agents never
training with humans, which we formalize as a human-assisted decision-making
problem. I... | [
{
"created": "Wed, 26 Jan 2022 19:14:00 GMT",
"version": "v1"
}
] | 2022-02-01 | [
[
"Tucker",
"Mycal",
""
],
[
"Kuhl",
"William",
""
],
[
"Shahid",
"Khizer",
""
],
[
"Karten",
"Seth",
""
],
[
"Sycara",
"Katia",
""
],
[
"Shah",
"Julie",
""
]
] | Neural nets are powerful function approximators, but the behavior of a given neural net, once trained, cannot be easily modified. We wish, however, for people to be able to influence neural agents' actions despite the agents never training with humans, which we formalize as a human-assisted decision-making problem. Ins... |
2312.01006 | Xuan Feng | Jiayang Li, Xuan Feng, Tianlong Gu, Liang Chang | Dual-Teacher De-biasing Distillation Framework for Multi-domain Fake
News Detection | ICDE 2024 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multi-domain fake news detection aims to identify whether various news from
different domains is real or fake and has become urgent and important. However,
existing methods are dedicated to improving the overall performance of fake
news detection, ignoring the fact that unbalanced data leads to disparate
treatment fo... | [
{
"created": "Sat, 2 Dec 2023 02:53:45 GMT",
"version": "v1"
}
] | 2023-12-05 | [
[
"Li",
"Jiayang",
""
],
[
"Feng",
"Xuan",
""
],
[
"Gu",
"Tianlong",
""
],
[
"Chang",
"Liang",
""
]
] | Multi-domain fake news detection aims to identify whether various news from different domains is real or fake and has become urgent and important. However, existing methods are dedicated to improving the overall performance of fake news detection, ignoring the fact that unbalanced data leads to disparate treatment for ... |
2006.10932 | Deqing Yang | Junyang Jiang and Deqing Yang and Yanghua Xiao and Chenlu Shen | Convolutional Gaussian Embeddings for Personalized Recommendation with
Uncertainty | null | IJCAI 2019 | null | null | cs.IR cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most of existing embedding based recommendation models use embeddings
(vectors) corresponding to a single fixed point in low-dimensional space, to
represent users and items. Such embeddings fail to precisely represent the
users/items with uncertainty often observed in recommender systems. Addressing
this problem, we ... | [
{
"created": "Fri, 19 Jun 2020 02:10:38 GMT",
"version": "v1"
}
] | 2020-06-22 | [
[
"Jiang",
"Junyang",
""
],
[
"Yang",
"Deqing",
""
],
[
"Xiao",
"Yanghua",
""
],
[
"Shen",
"Chenlu",
""
]
] | Most of existing embedding based recommendation models use embeddings (vectors) corresponding to a single fixed point in low-dimensional space, to represent users and items. Such embeddings fail to precisely represent the users/items with uncertainty often observed in recommender systems. Addressing this problem, we pr... |
1310.3902 | Shaoquan Jiang | Dajiang Chen, Shaoquan Jiang, Zhiguang Qin | Message Authentication Code over a Wiretap Channel | Formulation of model is changed | ISIT 2015 | null | null | cs.IT cs.CR math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Message Authentication Code (MAC) is a keyed function $f_K$ such that when
Alice, who shares the secret $K$ with Bob, sends $f_K(M)$ to the latter, Bob
will be assured of the integrity and authenticity of $M$. Traditionally, it is
assumed that the channel is noiseless. However, Maurer showed that in this case
an atta... | [
{
"created": "Tue, 15 Oct 2013 02:46:58 GMT",
"version": "v1"
},
{
"created": "Fri, 29 May 2015 17:46:37 GMT",
"version": "v2"
}
] | 2015-06-01 | [
[
"Chen",
"Dajiang",
""
],
[
"Jiang",
"Shaoquan",
""
],
[
"Qin",
"Zhiguang",
""
]
] | Message Authentication Code (MAC) is a keyed function $f_K$ such that when Alice, who shares the secret $K$ with Bob, sends $f_K(M)$ to the latter, Bob will be assured of the integrity and authenticity of $M$. Traditionally, it is assumed that the channel is noiseless. However, Maurer showed that in this case an attack... |
2103.04047 | Xiuyuan Lu | Xiuyuan Lu, Benjamin Van Roy, Vikranth Dwaracherla, Morteza Ibrahimi,
Ian Osband, Zheng Wen | Reinforcement Learning, Bit by Bit | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reinforcement learning agents have demonstrated remarkable achievements in
simulated environments. Data efficiency poses an impediment to carrying this
success over to real environments. The design of data-efficient agents calls
for a deeper understanding of information acquisition and representation. We
discuss conc... | [
{
"created": "Sat, 6 Mar 2021 06:37:46 GMT",
"version": "v1"
},
{
"created": "Sun, 14 Mar 2021 05:58:17 GMT",
"version": "v2"
},
{
"created": "Mon, 12 Apr 2021 18:42:28 GMT",
"version": "v3"
},
{
"created": "Tue, 11 May 2021 01:03:05 GMT",
"version": "v4"
},
{
"cr... | 2023-05-09 | [
[
"Lu",
"Xiuyuan",
""
],
[
"Van Roy",
"Benjamin",
""
],
[
"Dwaracherla",
"Vikranth",
""
],
[
"Ibrahimi",
"Morteza",
""
],
[
"Osband",
"Ian",
""
],
[
"Wen",
"Zheng",
""
]
] | Reinforcement learning agents have demonstrated remarkable achievements in simulated environments. Data efficiency poses an impediment to carrying this success over to real environments. The design of data-efficient agents calls for a deeper understanding of information acquisition and representation. We discuss concep... |
2208.03505 | Reethika Ramesh | Reethika Ramesh, Anjali Vyas, Roya Ensafi | "All of them claim to be the best": Multi-perspective study of VPN users
and VPN providers | Accepted to appear at USENIX Security Symposium 2023 (32nd USENIX
Security Symposium, 2023) | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As more users adopt VPNs for a variety of reasons, it is important to develop
empirical knowledge of their needs and mental models of what a VPN offers.
Moreover, studying VPN users alone is not enough because, by using a VPN, a
user essentially transfers trust, say from their network provider, onto the VPN
provider.... | [
{
"created": "Sat, 6 Aug 2022 12:16:15 GMT",
"version": "v1"
},
{
"created": "Wed, 28 Sep 2022 20:47:04 GMT",
"version": "v2"
}
] | 2022-09-30 | [
[
"Ramesh",
"Reethika",
""
],
[
"Vyas",
"Anjali",
""
],
[
"Ensafi",
"Roya",
""
]
] | As more users adopt VPNs for a variety of reasons, it is important to develop empirical knowledge of their needs and mental models of what a VPN offers. Moreover, studying VPN users alone is not enough because, by using a VPN, a user essentially transfers trust, say from their network provider, onto the VPN provider. T... |
1208.0645 | Zhi-Hua Zhou | Wei Gao and Zhi-Hua Zhou | On the Consistency of AUC Pairwise Optimization | null | IJCAI 2015 | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | AUC (area under ROC curve) is an important evaluation criterion, which has
been popularly used in many learning tasks such as class-imbalance learning,
cost-sensitive learning, learning to rank, etc. Many learning approaches try to
optimize AUC, while owing to the non-convexity and discontinuousness of AUC,
almost al... | [
{
"created": "Fri, 3 Aug 2012 02:37:44 GMT",
"version": "v1"
},
{
"created": "Thu, 9 Aug 2012 08:35:28 GMT",
"version": "v2"
},
{
"created": "Thu, 13 Sep 2012 07:00:09 GMT",
"version": "v3"
},
{
"created": "Wed, 2 Jul 2014 14:46:59 GMT",
"version": "v4"
}
] | 2020-07-07 | [
[
"Gao",
"Wei",
""
],
[
"Zhou",
"Zhi-Hua",
""
]
] | AUC (area under ROC curve) is an important evaluation criterion, which has been popularly used in many learning tasks such as class-imbalance learning, cost-sensitive learning, learning to rank, etc. Many learning approaches try to optimize AUC, while owing to the non-convexity and discontinuousness of AUC, almost all ... |
2307.02263 | Weihao Huang | Jianxiang Luo, Junyi Hu, Tianji Pang, Weihao Huang, Chuang Liu | Dynamical Isometry based Rigorous Fair Neural Architecture Search | null | null | null | null | cs.LG cs.CY | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Recently, the weight-sharing technique has significantly speeded up the
training and evaluation procedure of neural architecture search. However, most
existing weight-sharing strategies are solely based on experience or
observation, which makes the searching results lack interpretability and
rationality. In addition,... | [
{
"created": "Wed, 5 Jul 2023 13:01:21 GMT",
"version": "v1"
},
{
"created": "Thu, 6 Jul 2023 06:56:54 GMT",
"version": "v2"
}
] | 2023-07-07 | [
[
"Luo",
"Jianxiang",
""
],
[
"Hu",
"Junyi",
""
],
[
"Pang",
"Tianji",
""
],
[
"Huang",
"Weihao",
""
],
[
"Liu",
"Chuang",
""
]
] | Recently, the weight-sharing technique has significantly speeded up the training and evaluation procedure of neural architecture search. However, most existing weight-sharing strategies are solely based on experience or observation, which makes the searching results lack interpretability and rationality. In addition, d... |
2002.05848 | Keisuke Imoto | Keisuke Imoto and Noriyuki Tonami and Yuma Koizumi and Masahiro Yasuda
and Ryosuke Yamanishi and Yoichi Yamashita | Sound Event Detection by Multitask Learning of Sound Events and Scenes
with Soft Scene Labels | Accepted to ICASSP 2020 | null | null | null | cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Sound event detection (SED) and acoustic scene classification (ASC) are major
tasks in environmental sound analysis. Considering that sound events and scenes
are closely related to each other, some works have addressed joint analyses of
sound events and acoustic scenes based on multitask learning (MTL), in which
the ... | [
{
"created": "Fri, 14 Feb 2020 02:24:06 GMT",
"version": "v1"
}
] | 2020-02-17 | [
[
"Imoto",
"Keisuke",
""
],
[
"Tonami",
"Noriyuki",
""
],
[
"Koizumi",
"Yuma",
""
],
[
"Yasuda",
"Masahiro",
""
],
[
"Yamanishi",
"Ryosuke",
""
],
[
"Yamashita",
"Yoichi",
""
]
] | Sound event detection (SED) and acoustic scene classification (ASC) are major tasks in environmental sound analysis. Considering that sound events and scenes are closely related to each other, some works have addressed joint analyses of sound events and acoustic scenes based on multitask learning (MTL), in which the kn... |
2208.05681 | Baoxin Wang | Honghong Zhao, Baoxin Wang, Dayong Wu, Wanxiang Che, Zhigang Chen,
Shijin Wang | Overview of CTC 2021: Chinese Text Correction for Native Speakers | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we present an overview of the CTC 2021, a Chinese text
correction task for native speakers. We give detailed descriptions of the task
definition and the data for training as well as evaluation. We also summarize
the approaches investigated by the participants of this task. We hope the data
sets collect... | [
{
"created": "Thu, 11 Aug 2022 07:58:48 GMT",
"version": "v1"
}
] | 2022-08-12 | [
[
"Zhao",
"Honghong",
""
],
[
"Wang",
"Baoxin",
""
],
[
"Wu",
"Dayong",
""
],
[
"Che",
"Wanxiang",
""
],
[
"Chen",
"Zhigang",
""
],
[
"Wang",
"Shijin",
""
]
] | In this paper, we present an overview of the CTC 2021, a Chinese text correction task for native speakers. We give detailed descriptions of the task definition and the data for training as well as evaluation. We also summarize the approaches investigated by the participants of this task. We hope the data sets collected... |
2008.07967 | Prafullkumar Tale Mr | Saket Saurabh, U\'everton dos Santos Souza, Prafullkumar Tale | On the Parameterized Complexity Of Grid Contraction | null | null | null | null | cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | For a family of graphs $\mathcal{G}$, the $\mathcal{G}$-\textsc{Contraction}
problem takes as an input a graph $G$ and an integer $k$, and the goal is to
decide if there exists $F \subseteq E(G)$ of size at most $k$ such that $G/F$
belongs to $\mathcal{G}$. Here, $G/F$ is the graph obtained from $G$ by
contracting al... | [
{
"created": "Tue, 18 Aug 2020 14:56:53 GMT",
"version": "v1"
}
] | 2020-08-19 | [
[
"Saurabh",
"Saket",
""
],
[
"Souza",
"Uéverton dos Santos",
""
],
[
"Tale",
"Prafullkumar",
""
]
] | For a family of graphs $\mathcal{G}$, the $\mathcal{G}$-\textsc{Contraction} problem takes as an input a graph $G$ and an integer $k$, and the goal is to decide if there exists $F \subseteq E(G)$ of size at most $k$ such that $G/F$ belongs to $\mathcal{G}$. Here, $G/F$ is the graph obtained from $G$ by contracting all ... |
2309.07021 | Federico Lincetto | Federico Lincetto, Gianluca Agresti, Mattia Rossi, Pietro Zanuttigh | Exploiting Multiple Priors for Neural 3D Indoor Reconstruction | Accepted at the British Machine Vision Conference (BMVC) 2023 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Neural implicit modeling permits to achieve impressive 3D reconstruction
results on small objects, while it exhibits significant limitations in large
indoor scenes. In this work, we propose a novel neural implicit modeling method
that leverages multiple regularization strategies to achieve better
reconstructions of l... | [
{
"created": "Wed, 13 Sep 2023 15:23:43 GMT",
"version": "v1"
}
] | 2023-09-14 | [
[
"Lincetto",
"Federico",
""
],
[
"Agresti",
"Gianluca",
""
],
[
"Rossi",
"Mattia",
""
],
[
"Zanuttigh",
"Pietro",
""
]
] | Neural implicit modeling permits to achieve impressive 3D reconstruction results on small objects, while it exhibits significant limitations in large indoor scenes. In this work, we propose a novel neural implicit modeling method that leverages multiple regularization strategies to achieve better reconstructions of lar... |
2405.00017 | Louis Leconte | Louis Leconte, Matthieu Jonckheere, Sergey Samsonov, Eric Moulines | Queuing dynamics of asynchronous Federated Learning | null | null | null | null | cs.DC cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | We study asynchronous federated learning mechanisms with nodes having
potentially different computational speeds. In such an environment, each node
is allowed to work on models with potential delays and contribute to updates to
the central server at its own pace. Existing analyses of such algorithms
typically depend ... | [
{
"created": "Mon, 12 Feb 2024 18:32:35 GMT",
"version": "v1"
}
] | 2024-05-02 | [
[
"Leconte",
"Louis",
""
],
[
"Jonckheere",
"Matthieu",
""
],
[
"Samsonov",
"Sergey",
""
],
[
"Moulines",
"Eric",
""
]
] | We study asynchronous federated learning mechanisms with nodes having potentially different computational speeds. In such an environment, each node is allowed to work on models with potential delays and contribute to updates to the central server at its own pace. Existing analyses of such algorithms typically depend on... |
2305.11993 | Andrey Kutuzov | Mario Giulianelli, Iris Luden, Raquel Fernandez, Andrey Kutuzov | Interpretable Word Sense Representations via Definition Generation: The
Case of Semantic Change Analysis | ACL 2023 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | We propose using automatically generated natural language definitions of
contextualised word usages as interpretable word and word sense
representations. Given a collection of usage examples for a target word, and
the corresponding data-driven usage clusters (i.e., word senses), a definition
is generated for each usa... | [
{
"created": "Fri, 19 May 2023 20:36:21 GMT",
"version": "v1"
},
{
"created": "Tue, 25 Jul 2023 11:50:48 GMT",
"version": "v2"
}
] | 2023-07-26 | [
[
"Giulianelli",
"Mario",
""
],
[
"Luden",
"Iris",
""
],
[
"Fernandez",
"Raquel",
""
],
[
"Kutuzov",
"Andrey",
""
]
] | We propose using automatically generated natural language definitions of contextualised word usages as interpretable word and word sense representations. Given a collection of usage examples for a target word, and the corresponding data-driven usage clusters (i.e., word senses), a definition is generated for each usage... |
2406.06500 | Redwan Ahmed Rizvee | Mohidul Haque Mridul, Mohammad Foysal Khan, Redwan Ahmed Rizvee, Md
Mosaddek Khan | Adaptive Opponent Policy Detection in Multi-Agent MDPs: Real-Time
Strategy Switch Identification Using Running Error Estimation | null | null | null | null | cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | In Multi-agent Reinforcement Learning (MARL), accurately perceiving
opponents' strategies is essential for both cooperative and adversarial
contexts, particularly within dynamic environments. While Proximal Policy
Optimization (PPO) and related algorithms such as Actor-Critic with Experience
Replay (ACER), Trust Regi... | [
{
"created": "Mon, 10 Jun 2024 17:34:44 GMT",
"version": "v1"
}
] | 2024-06-11 | [
[
"Mridul",
"Mohidul Haque",
""
],
[
"Khan",
"Mohammad Foysal",
""
],
[
"Rizvee",
"Redwan Ahmed",
""
],
[
"Khan",
"Md Mosaddek",
""
]
] | In Multi-agent Reinforcement Learning (MARL), accurately perceiving opponents' strategies is essential for both cooperative and adversarial contexts, particularly within dynamic environments. While Proximal Policy Optimization (PPO) and related algorithms such as Actor-Critic with Experience Replay (ACER), Trust Region... |
2210.08274 | Xixi Wu | Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Caihua Shan, Yiheng Sun,
Yangyong Zhu, and Philip S. Yu | CLARE: A Semi-supervised Community Detection Algorithm | Accepted by KDD'2022 | null | 10.1145/3534678.3539370 | null | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Community detection refers to the task of discovering closely related
subgraphs to understand the networks. However, traditional community detection
algorithms fail to pinpoint a particular kind of community. This limits its
applicability in real-world networks, e.g., distinguishing fraud groups from
normal ones in t... | [
{
"created": "Sat, 15 Oct 2022 12:37:46 GMT",
"version": "v1"
}
] | 2022-10-18 | [
[
"Wu",
"Xixi",
""
],
[
"Xiong",
"Yun",
""
],
[
"Zhang",
"Yao",
""
],
[
"Jiao",
"Yizhu",
""
],
[
"Shan",
"Caihua",
""
],
[
"Sun",
"Yiheng",
""
],
[
"Zhu",
"Yangyong",
""
],
[
"Yu",
"Philip S.",
... | Community detection refers to the task of discovering closely related subgraphs to understand the networks. However, traditional community detection algorithms fail to pinpoint a particular kind of community. This limits its applicability in real-world networks, e.g., distinguishing fraud groups from normal ones in tra... |
2106.12124 | Mohammad Rostami | Serban Stan, Mohammad Rostami | Secure Domain Adaptation with Multiple Sources | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Multi-source unsupervised domain adaptation (MUDA) is a framework to address
the challenge of annotated data scarcity in a target domain via transferring
knowledge from multiple annotated source domains. When the source domains are
distributed, data privacy and security can become significant concerns and
protocols m... | [
{
"created": "Wed, 23 Jun 2021 02:26:36 GMT",
"version": "v1"
},
{
"created": "Mon, 14 Nov 2022 21:24:53 GMT",
"version": "v2"
}
] | 2022-11-16 | [
[
"Stan",
"Serban",
""
],
[
"Rostami",
"Mohammad",
""
]
] | Multi-source unsupervised domain adaptation (MUDA) is a framework to address the challenge of annotated data scarcity in a target domain via transferring knowledge from multiple annotated source domains. When the source domains are distributed, data privacy and security can become significant concerns and protocols may... |
2307.15879 | Victor A. Melent'ev | V. A. Melent'ev | Shortest paths search method based on the projective description of
unweighted mixed graphs | 7 pages, in Russian language, 1 figures, 2 table | null | null | null | cs.DC math.CO | http://creativecommons.org/licenses/by/4.0/ | The method is based on the preliminary transformation of the traditionally
used matrices or adjacency lists in the graph theory into refined projections
free from redundant information, and their subsequent use in constructing
shortest paths. Unlike adjacency matrices and lists based on enumerating binary
adjacency r... | [
{
"created": "Sat, 29 Jul 2023 03:31:20 GMT",
"version": "v1"
},
{
"created": "Fri, 19 Jan 2024 12:04:27 GMT",
"version": "v2"
}
] | 2024-01-22 | [
[
"Melent'ev",
"V. A.",
""
]
] | The method is based on the preliminary transformation of the traditionally used matrices or adjacency lists in the graph theory into refined projections free from redundant information, and their subsequent use in constructing shortest paths. Unlike adjacency matrices and lists based on enumerating binary adjacency rel... |
2003.03699 | Depeng Xu | Depeng Xu, Wei Du and Xintao Wu | Removing Disparate Impact of Differentially Private Stochastic Gradient
Descent on Model Accuracy | null | null | null | null | cs.LG cs.CR cs.CY stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | When we enforce differential privacy in machine learning, the utility-privacy
trade-off is different w.r.t. each group. Gradient clipping and random noise
addition disproportionately affect underrepresented and complex classes and
subgroups, which results in inequality in utility loss. In this work, we
analyze the in... | [
{
"created": "Sun, 8 Mar 2020 02:06:15 GMT",
"version": "v1"
},
{
"created": "Sun, 27 Sep 2020 21:04:37 GMT",
"version": "v2"
}
] | 2020-09-29 | [
[
"Xu",
"Depeng",
""
],
[
"Du",
"Wei",
""
],
[
"Wu",
"Xintao",
""
]
] | When we enforce differential privacy in machine learning, the utility-privacy trade-off is different w.r.t. each group. Gradient clipping and random noise addition disproportionately affect underrepresented and complex classes and subgroups, which results in inequality in utility loss. In this work, we analyze the ineq... |
2009.11603 | John Noll | John Noll and Mohammad Abdur Razzak and Sarah Beecham | Motivation and Autonomy in Global Software Development: An Empirical
Study | null | 21st International Conference on Evaluation and Assessment in
Software Engineering (EASE 2017) | 10.1145/3084226.3084277 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Distributed development involving globally distributed teams in different
countries and timezones adds additional complexity into an already complex
undertaking. This paper focuses on the effect of global software development on
motivation. Specifically, we ask, what impact does misalignment between needed
and actual... | [
{
"created": "Thu, 24 Sep 2020 11:22:03 GMT",
"version": "v1"
}
] | 2020-09-25 | [
[
"Noll",
"John",
""
],
[
"Razzak",
"Mohammad Abdur",
""
],
[
"Beecham",
"Sarah",
""
]
] | Distributed development involving globally distributed teams in different countries and timezones adds additional complexity into an already complex undertaking. This paper focuses on the effect of global software development on motivation. Specifically, we ask, what impact does misalignment between needed and actual a... |
2106.00455 | Tongliang Liu | Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Jun Yu, Gang Niu,
Masashi Sugiyama | Instance Correction for Learning with Open-set Noisy Labels | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The problem of open-set noisy labels denotes that part of training data have
a different label space that does not contain the true class. Lots of
approaches, e.g., loss correction and label correction, cannot handle such
open-set noisy labels well, since they need training data and test data to
share the same label ... | [
{
"created": "Tue, 1 Jun 2021 13:05:55 GMT",
"version": "v1"
}
] | 2021-06-02 | [
[
"Xia",
"Xiaobo",
""
],
[
"Liu",
"Tongliang",
""
],
[
"Han",
"Bo",
""
],
[
"Gong",
"Mingming",
""
],
[
"Yu",
"Jun",
""
],
[
"Niu",
"Gang",
""
],
[
"Sugiyama",
"Masashi",
""
]
] | The problem of open-set noisy labels denotes that part of training data have a different label space that does not contain the true class. Lots of approaches, e.g., loss correction and label correction, cannot handle such open-set noisy labels well, since they need training data and test data to share the same label sp... |
2111.05808 | Lo\"ic Rakotoson | Lo\"ic Rakotoson, Charles Letaillieur, Sylvain Massip and Fr\'ejus
Laleye | BagBERT: BERT-based bagging-stacking for multi-topic classification | null | null | null | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper describes our submission on the COVID-19 literature annotation
task at Biocreative VII. We proposed an approach that exploits the knowledge of
the globally non-optimal weights, usually rejected, to build a rich
representation of each label. Our proposed approach consists of two stages: (1)
A bagging of var... | [
{
"created": "Wed, 10 Nov 2021 17:00:36 GMT",
"version": "v1"
}
] | 2021-11-12 | [
[
"Rakotoson",
"Loïc",
""
],
[
"Letaillieur",
"Charles",
""
],
[
"Massip",
"Sylvain",
""
],
[
"Laleye",
"Fréjus",
""
]
] | This paper describes our submission on the COVID-19 literature annotation task at Biocreative VII. We proposed an approach that exploits the knowledge of the globally non-optimal weights, usually rejected, to build a rich representation of each label. Our proposed approach consists of two stages: (1) A bagging of vario... |
2012.01662 | EPTCS | Gia S. Wulandari (University of York, UK, Telkom University, Bandung,
Indonesia), Detlef Plump (University of York, UK) | Verifying Graph Programs with First-Order Logic | In Proceedings GCM 2020, arXiv:2012.01181. arXiv admin note:
substantial text overlap with arXiv:2010.14549 | EPTCS 330, 2020, pp. 181-200 | 10.4204/EPTCS.330.11 | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider Hoare-style verification for the graph programming language GP 2.
In previous work, graph properties were specified by so-called E-conditions
which extend nested graph conditions. However, this type of assertions is not
easy to comprehend by programmers that are used to formal specifications in
standard f... | [
{
"created": "Thu, 3 Dec 2020 02:30:12 GMT",
"version": "v1"
}
] | 2020-12-04 | [
[
"Wulandari",
"Gia S.",
"",
"University of York, UK, Telkom University, Bandung,\n Indonesia"
],
[
"Plump",
"Detlef",
"",
"University of York, UK"
]
] | We consider Hoare-style verification for the graph programming language GP 2. In previous work, graph properties were specified by so-called E-conditions which extend nested graph conditions. However, this type of assertions is not easy to comprehend by programmers that are used to formal specifications in standard fir... |
2102.01936 | Liangxi Liu | Liangxi Liu, Xi Jiang, Feng Zheng, Hong Chen, Guo-Jun Qi, Heng Huang
and Ling Shao | A Bayesian Federated Learning Framework with Online Laplace
Approximation | null | null | 10.1109/TPAMI.2023.3322743 | null | cs.LG cs.AI cs.DC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Federated learning (FL) allows multiple clients to collaboratively learn a
globally shared model through cycles of model aggregation and local model
training, without the need to share data. Most existing FL methods train local
models separately on different clients, and then simply average their
parameters to obtain... | [
{
"created": "Wed, 3 Feb 2021 08:36:58 GMT",
"version": "v1"
},
{
"created": "Tue, 20 Jul 2021 16:44:04 GMT",
"version": "v2"
},
{
"created": "Sat, 2 Dec 2023 07:13:00 GMT",
"version": "v3"
}
] | 2023-12-05 | [
[
"Liu",
"Liangxi",
""
],
[
"Jiang",
"Xi",
""
],
[
"Zheng",
"Feng",
""
],
[
"Chen",
"Hong",
""
],
[
"Qi",
"Guo-Jun",
""
],
[
"Huang",
"Heng",
""
],
[
"Shao",
"Ling",
""
]
] | Federated learning (FL) allows multiple clients to collaboratively learn a globally shared model through cycles of model aggregation and local model training, without the need to share data. Most existing FL methods train local models separately on different clients, and then simply average their parameters to obtain a... |
2305.06163 | Hunter McNichols | Hunter McNichols, Mengxue Zhang, Andrew Lan | Algebra Error Classification with Large Language Models | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Automated feedback as students answer open-ended math questions has
significant potential in improving learning outcomes at large scale. A key part
of automated feedback systems is an error classification component, which
identifies student errors and enables appropriate, predefined feedback to be
deployed. Most exis... | [
{
"created": "Mon, 8 May 2023 15:51:38 GMT",
"version": "v1"
}
] | 2023-05-11 | [
[
"McNichols",
"Hunter",
""
],
[
"Zhang",
"Mengxue",
""
],
[
"Lan",
"Andrew",
""
]
] | Automated feedback as students answer open-ended math questions has significant potential in improving learning outcomes at large scale. A key part of automated feedback systems is an error classification component, which identifies student errors and enables appropriate, predefined feedback to be deployed. Most existi... |
1704.03132 | Yifei Jin | Yifei Jin, Jian Li, Wei Zhan | Odd Yao-Yao Graphs are Not Spanners | 29 pages, 26 figures | null | null | null | cs.CG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | It is a long standing open problem whether Yao-Yao graphs $\mathsf{YY}_{k}$
are all spanners [li2002sparse]. Bauer and Damian [bauer2013infinite] showed
that all $\mathsf{YY}_{6k}$ for $k \geq 6$ are spanners. Li and Zhan
[li2016almost] generalized their result and proved that all even Yao-Yao graphs
$\mathsf{YY}_{2k... | [
{
"created": "Tue, 11 Apr 2017 03:50:11 GMT",
"version": "v1"
},
{
"created": "Sun, 18 Mar 2018 22:46:53 GMT",
"version": "v2"
},
{
"created": "Tue, 20 Mar 2018 02:04:12 GMT",
"version": "v3"
},
{
"created": "Sun, 12 Aug 2018 08:07:13 GMT",
"version": "v4"
}
] | 2018-08-14 | [
[
"Jin",
"Yifei",
""
],
[
"Li",
"Jian",
""
],
[
"Zhan",
"Wei",
""
]
] | It is a long standing open problem whether Yao-Yao graphs $\mathsf{YY}_{k}$ are all spanners [li2002sparse]. Bauer and Damian [bauer2013infinite] showed that all $\mathsf{YY}_{6k}$ for $k \geq 6$ are spanners. Li and Zhan [li2016almost] generalized their result and proved that all even Yao-Yao graphs $\mathsf{YY}_{2k}$... |
0801.1306 | Seyed Abolfazl Motahari | Abolfazl S. Motahari, Amir K. Khandani | Capacity Bounds for the Gaussian Interference Channel | 35 pages, 14 figures, submitted to IEEE Trans. on Inf. Theory | null | null | null | cs.IT math.IT | null | The capacity region of the two-user Gaussian Interference Channel (IC) is
studied. Three classes of channels are considered: weak, one-sided, and mixed
Gaussian IC. For the weak Gaussian IC, a new outer bound on the capacity region
is obtained that outperforms previously known outer bounds. The sum capacity
for a cer... | [
{
"created": "Tue, 8 Jan 2008 19:56:00 GMT",
"version": "v1"
}
] | 2008-01-09 | [
[
"Motahari",
"Abolfazl S.",
""
],
[
"Khandani",
"Amir K.",
""
]
] | The capacity region of the two-user Gaussian Interference Channel (IC) is studied. Three classes of channels are considered: weak, one-sided, and mixed Gaussian IC. For the weak Gaussian IC, a new outer bound on the capacity region is obtained that outperforms previously known outer bounds. The sum capacity for a certa... |
1702.02096 | Chao-Yang Chen | Zhi-Hong Guan, Chao-Yang Chen, Gang Feng, Tao Li | Optimal Tracking Performance Limitation of Networked Control Systems
with Limited Bandwidth and Additive Colored White Gaussian Noise | 10 pages, 4 figures, IEEE Transactions on Circuits and Systems I:
Regular Papers | null | 10.1109/TCSI.2012.2215717 | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper studies optimal tracking performance issues for
multi-input-multi-output linear time-invariant systems under networked control
with limited bandwidth and additive colored white Gaussian noise channel. The
tracking performance is measured by control input energy and the energy of the
error signal between th... | [
{
"created": "Tue, 7 Feb 2017 16:53:32 GMT",
"version": "v1"
}
] | 2017-02-08 | [
[
"Guan",
"Zhi-Hong",
""
],
[
"Chen",
"Chao-Yang",
""
],
[
"Feng",
"Gang",
""
],
[
"Li",
"Tao",
""
]
] | This paper studies optimal tracking performance issues for multi-input-multi-output linear time-invariant systems under networked control with limited bandwidth and additive colored white Gaussian noise channel. The tracking performance is measured by control input energy and the energy of the error signal between the ... |
1404.1140 | Christopher Amato | Christopher Amato, Frans A. Oliehoek | Scalable Planning and Learning for Multiagent POMDPs: Extended Version | null | null | null | null | cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Online, sample-based planning algorithms for POMDPs have shown great promise
in scaling to problems with large state spaces, but they become intractable for
large action and observation spaces. This is particularly problematic in
multiagent POMDPs where the action and observation space grows exponentially
with the nu... | [
{
"created": "Fri, 4 Apr 2014 03:02:44 GMT",
"version": "v1"
},
{
"created": "Sat, 20 Dec 2014 03:28:34 GMT",
"version": "v2"
}
] | 2014-12-23 | [
[
"Amato",
"Christopher",
""
],
[
"Oliehoek",
"Frans A.",
""
]
] | Online, sample-based planning algorithms for POMDPs have shown great promise in scaling to problems with large state spaces, but they become intractable for large action and observation spaces. This is particularly problematic in multiagent POMDPs where the action and observation space grows exponentially with the numb... |
2208.08469 | Rosina Kharal | Rosina F. Kharal, Trevor Brown | Performance Anomalies in Concurrent Data Structure Microbenchmarks | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent decades have witnessed a surge in the development of concurrent data
structures with an increasing interest in data structures implementing
concurrent sets (CSets). Microbenchmarking tools are frequently utilized to
evaluate and compare the performance differences across concurrent data
structures. The underly... | [
{
"created": "Wed, 17 Aug 2022 18:15:27 GMT",
"version": "v1"
},
{
"created": "Tue, 20 Sep 2022 00:50:03 GMT",
"version": "v2"
},
{
"created": "Thu, 8 Dec 2022 07:01:23 GMT",
"version": "v3"
}
] | 2022-12-09 | [
[
"Kharal",
"Rosina F.",
""
],
[
"Brown",
"Trevor",
""
]
] | Recent decades have witnessed a surge in the development of concurrent data structures with an increasing interest in data structures implementing concurrent sets (CSets). Microbenchmarking tools are frequently utilized to evaluate and compare the performance differences across concurrent data structures. The underlyin... |
2112.02144 | Ran Gilad-Bachrach | Christopher Pyles, Francois van Schalkwyk, Gerard J. Gorman, Marijan
Beg, Lee Stott, Nir Levy, and Ran Gilad-Bachrach | PyBryt: auto-assessment and auto-grading for computational thinking | null | null | null | null | cs.HC cs.CY | http://creativecommons.org/licenses/by/4.0/ | We continuously interact with computerized systems to achieve goals and
perform tasks in our personal and professional lives. Therefore, the ability to
program such systems is a skill needed by everyone. Consequently, computational
thinking skills are essential for everyone, which creates a challenge for the
educatio... | [
{
"created": "Fri, 3 Dec 2021 20:01:06 GMT",
"version": "v1"
}
] | 2021-12-07 | [
[
"Pyles",
"Christopher",
""
],
[
"van Schalkwyk",
"Francois",
""
],
[
"Gorman",
"Gerard J.",
""
],
[
"Beg",
"Marijan",
""
],
[
"Stott",
"Lee",
""
],
[
"Levy",
"Nir",
""
],
[
"Gilad-Bachrach",
"Ran",
""
]
] | We continuously interact with computerized systems to achieve goals and perform tasks in our personal and professional lives. Therefore, the ability to program such systems is a skill needed by everyone. Consequently, computational thinking skills are essential for everyone, which creates a challenge for the educationa... |
2209.03596 | Danil Provodin | Danil Provodin, Pratik Gajane, Mykola Pechenizkiy, Maurits Kaptein | An Empirical Evaluation of Posterior Sampling for Constrained
Reinforcement Learning | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | We study a posterior sampling approach to efficient exploration in
constrained reinforcement learning. Alternatively to existing algorithms, we
propose two simple algorithms that are more efficient statistically, simpler to
implement and computationally cheaper. The first algorithm is based on a linear
formulation of... | [
{
"created": "Thu, 8 Sep 2022 06:52:49 GMT",
"version": "v1"
}
] | 2022-09-09 | [
[
"Provodin",
"Danil",
""
],
[
"Gajane",
"Pratik",
""
],
[
"Pechenizkiy",
"Mykola",
""
],
[
"Kaptein",
"Maurits",
""
]
] | We study a posterior sampling approach to efficient exploration in constrained reinforcement learning. Alternatively to existing algorithms, we propose two simple algorithms that are more efficient statistically, simpler to implement and computationally cheaper. The first algorithm is based on a linear formulation of C... |
2004.05654 | Abhishek Dubey | Charles Hartsell and Nagabhushan Mahadevan and Harmon Nine and Ted
Bapty and Abhishek Dubey and Gabor Karsai | Workflow Automation for Cyber Physical System Development Processes | Accepted for Publication at DESTION 2020 | null | null | null | cs.SE cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Development of Cyber Physical Systems (CPSs) requires close interaction
between developers with expertise in many domains to achieve ever-increasing
demands for improved performance, reduced cost, and more system autonomy. Each
engineering discipline commonly relies on domain-specific modeling languages,
and analysis... | [
{
"created": "Sun, 12 Apr 2020 17:32:05 GMT",
"version": "v1"
}
] | 2020-04-14 | [
[
"Hartsell",
"Charles",
""
],
[
"Mahadevan",
"Nagabhushan",
""
],
[
"Nine",
"Harmon",
""
],
[
"Bapty",
"Ted",
""
],
[
"Dubey",
"Abhishek",
""
],
[
"Karsai",
"Gabor",
""
]
] | Development of Cyber Physical Systems (CPSs) requires close interaction between developers with expertise in many domains to achieve ever-increasing demands for improved performance, reduced cost, and more system autonomy. Each engineering discipline commonly relies on domain-specific modeling languages, and analysis a... |
1710.11097 | Nikhil Chavan Dafle | Nikhil Chavan-Dafle and Alberto Rodriguez | Stable Prehensile Pushing: In-Hand Manipulation with Alternating
Sticking Contacts | IEEE International Conference on Robotics and Automation 2018 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents an approach to in-hand manipulation planning that
exploits the mechanics of alternating sticking contact. Particularly, we
consider the problem of manipulating a grasped object using external pushes for
which the pusher sticks to the object. Given the physical properties of the
object, frictional ... | [
{
"created": "Mon, 30 Oct 2017 17:42:48 GMT",
"version": "v1"
},
{
"created": "Tue, 31 Oct 2017 10:29:54 GMT",
"version": "v2"
},
{
"created": "Sun, 4 Mar 2018 13:25:17 GMT",
"version": "v3"
}
] | 2018-03-06 | [
[
"Chavan-Dafle",
"Nikhil",
""
],
[
"Rodriguez",
"Alberto",
""
]
] | This paper presents an approach to in-hand manipulation planning that exploits the mechanics of alternating sticking contact. Particularly, we consider the problem of manipulating a grasped object using external pushes for which the pusher sticks to the object. Given the physical properties of the object, frictional co... |
1906.07968 | Bernie Liu | Xinyu Wei, Mengjia Zhou, Bernie Liu | Camouflage Design of Analysis Based on HSV Color Statistics and K-means
Clustering | null | null | null | null | cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Since ancient times, it has been essential to adopting camouflage on the
battlefield, whether it is in the forefront, in-depth or the rear. The
traditional evaluation method is made up of people opinion. By watching target
or looking at the pictures, and determine the effect of camouflage, so it can
be more influence... | [
{
"created": "Wed, 19 Jun 2019 08:30:53 GMT",
"version": "v1"
}
] | 2019-06-20 | [
[
"Wei",
"Xinyu",
""
],
[
"Zhou",
"Mengjia",
""
],
[
"Liu",
"Bernie",
""
]
] | Since ancient times, it has been essential to adopting camouflage on the battlefield, whether it is in the forefront, in-depth or the rear. The traditional evaluation method is made up of people opinion. By watching target or looking at the pictures, and determine the effect of camouflage, so it can be more influenced ... |
2203.01726 | Marco Baity-Jesi | S. Kyathanahally, T. Hardeman, M. Reyes, E. Merz, T. Bulas, P. Brun,
F. Pomati, and M. Baity-Jesi | Ensembles of Vision Transformers as a New Paradigm for Automated
Classification in Ecology | To appear in Scientific Reports | Scientific Reports 12, 18590 (2022) | 10.1038/s41598-022-21910-0 | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Monitoring biodiversity is paramount to manage and protect natural resources.
Collecting images of organisms over large temporal or spatial scales is a
promising practice to monitor the biodiversity of natural ecosystems, providing
large amounts of data with minimal interference with the environment. Deep
learning mo... | [
{
"created": "Thu, 3 Mar 2022 14:16:22 GMT",
"version": "v1"
},
{
"created": "Thu, 22 Sep 2022 16:22:48 GMT",
"version": "v2"
},
{
"created": "Thu, 29 Sep 2022 12:15:31 GMT",
"version": "v3"
}
] | 2023-02-07 | [
[
"Kyathanahally",
"S.",
""
],
[
"Hardeman",
"T.",
""
],
[
"Reyes",
"M.",
""
],
[
"Merz",
"E.",
""
],
[
"Bulas",
"T.",
""
],
[
"Brun",
"P.",
""
],
[
"Pomati",
"F.",
""
],
[
"Baity-Jesi",
"M.",
... | Monitoring biodiversity is paramount to manage and protect natural resources. Collecting images of organisms over large temporal or spatial scales is a promising practice to monitor the biodiversity of natural ecosystems, providing large amounts of data with minimal interference with the environment. Deep learning mode... |
1509.03677 | Maziar Izadi | Sasi Prabhakaran Viswanathan, Amit Kumar Sanyal, Maziar Izadi | Mechatronics Architecture of Smartphone-Based Spacecraft ADCS using
VSCMG Actuators | null | null | null | null | cs.SY math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Hardware and software architecture of a novel spacecraft Attitude
Determination and Control System (ADCS) based on smartphones using Variable
Speed Control Moment Gyroscope (VSCMG) as actuator is proposed here. A
spacecraft ground simulator testbed for Hardware-in-the-loop (HIL) attitude
estimation and control with V... | [
{
"created": "Fri, 11 Sep 2015 21:58:31 GMT",
"version": "v1"
}
] | 2015-09-15 | [
[
"Viswanathan",
"Sasi Prabhakaran",
""
],
[
"Sanyal",
"Amit Kumar",
""
],
[
"Izadi",
"Maziar",
""
]
] | Hardware and software architecture of a novel spacecraft Attitude Determination and Control System (ADCS) based on smartphones using Variable Speed Control Moment Gyroscope (VSCMG) as actuator is proposed here. A spacecraft ground simulator testbed for Hardware-in-the-loop (HIL) attitude estimation and control with VSC... |
1910.08639 | Ilya Kuzovkin | Ashish Kumar, Toby Buckley, John B. Lanier, Qiaozhi Wang, Alicia
Kavelaars, Ilya Kuzovkin | OffWorld Gym: open-access physical robotics environment for real-world
reinforcement learning benchmark and research | null | null | null | null | cs.LG cs.AI cs.RO stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Success stories of applied machine learning can be traced back to the
datasets and environments that were put forward as challenges for the
community. The challenge that the community sets as a benchmark is usually the
challenge that the community eventually solves. The ultimate challenge of
reinforcement learning re... | [
{
"created": "Fri, 18 Oct 2019 21:58:24 GMT",
"version": "v1"
},
{
"created": "Fri, 3 Apr 2020 08:51:54 GMT",
"version": "v2"
},
{
"created": "Thu, 22 Oct 2020 05:19:37 GMT",
"version": "v3"
},
{
"created": "Tue, 15 Dec 2020 02:59:34 GMT",
"version": "v4"
}
] | 2020-12-16 | [
[
"Kumar",
"Ashish",
""
],
[
"Buckley",
"Toby",
""
],
[
"Lanier",
"John B.",
""
],
[
"Wang",
"Qiaozhi",
""
],
[
"Kavelaars",
"Alicia",
""
],
[
"Kuzovkin",
"Ilya",
""
]
] | Success stories of applied machine learning can be traced back to the datasets and environments that were put forward as challenges for the community. The challenge that the community sets as a benchmark is usually the challenge that the community eventually solves. The ultimate challenge of reinforcement learning rese... |
2104.10819 | Kun Li | Kun Li, Liang Yuan, Yunquan Zhang, Gongwei Chen | An Accurate and Efficient Large-scale Regression Method through Best
Friend Clustering | null | null | null | null | cs.LG cs.DC | http://creativecommons.org/licenses/by/4.0/ | As the data size in Machine Learning fields grows exponentially, it is
inevitable to accelerate the computation by utilizing the ever-growing large
number of available cores provided by high-performance computing hardware.
However, existing parallel methods for clustering or regression often suffer
from problems of l... | [
{
"created": "Thu, 22 Apr 2021 01:34:29 GMT",
"version": "v1"
}
] | 2021-04-23 | [
[
"Li",
"Kun",
""
],
[
"Yuan",
"Liang",
""
],
[
"Zhang",
"Yunquan",
""
],
[
"Chen",
"Gongwei",
""
]
] | As the data size in Machine Learning fields grows exponentially, it is inevitable to accelerate the computation by utilizing the ever-growing large number of available cores provided by high-performance computing hardware. However, existing parallel methods for clustering or regression often suffer from problems of low... |
2306.05561 | Oleksandr Yermilov | Oleksandr Yermilov, Vipul Raheja, Artem Chernodub | Privacy- and Utility-Preserving NLP with Anonymized Data: A case study
of Pseudonymization | 10 pages. Accepted for TrustNLP workshop at ACL2023 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | This work investigates the effectiveness of different pseudonymization
techniques, ranging from rule-based substitutions to using pre-trained Large
Language Models (LLMs), on a variety of datasets and models used for two widely
used NLP tasks: text classification and summarization. Our work provides
crucial insights ... | [
{
"created": "Thu, 8 Jun 2023 21:06:19 GMT",
"version": "v1"
}
] | 2023-06-12 | [
[
"Yermilov",
"Oleksandr",
""
],
[
"Raheja",
"Vipul",
""
],
[
"Chernodub",
"Artem",
""
]
] | This work investigates the effectiveness of different pseudonymization techniques, ranging from rule-based substitutions to using pre-trained Large Language Models (LLMs), on a variety of datasets and models used for two widely used NLP tasks: text classification and summarization. Our work provides crucial insights in... |
2403.09092 | Dacheng Wen | Yupeng Li, Haorui He, Jin Bai, and Dacheng Wen | MCFEND: A Multi-source Benchmark Dataset for Chinese Fake News Detection | Accepted by the ACM Web Conference 2024 (WWW 2024) oral, dataset
available: https://github.com/TrustworthyComp | null | 10.1145/3589334.3645385 | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | The prevalence of fake news across various online sources has had a
significant influence on the public. Existing Chinese fake news detection
datasets are limited to news sourced solely from Weibo. However, fake news
originating from multiple sources exhibits diversity in various aspects,
including its content and so... | [
{
"created": "Thu, 14 Mar 2024 04:32:13 GMT",
"version": "v1"
},
{
"created": "Wed, 24 Jul 2024 05:57:01 GMT",
"version": "v2"
}
] | 2024-07-25 | [
[
"Li",
"Yupeng",
""
],
[
"He",
"Haorui",
""
],
[
"Bai",
"Jin",
""
],
[
"Wen",
"Dacheng",
""
]
] | The prevalence of fake news across various online sources has had a significant influence on the public. Existing Chinese fake news detection datasets are limited to news sourced solely from Weibo. However, fake news originating from multiple sources exhibits diversity in various aspects, including its content and soci... |
2303.02604 | Hanwen Cao | Hanwen Cao, Jianshu Zhou, Junda Huang, Yichuan Li, Ng Cheng Meng, Rui
Cao, Qi Dou, Yunhui Liu | Two-Stage Grasping: A New Bin Picking Framework for Small Objects | ICRA 2023 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a novel bin picking framework, two-stage grasping, aiming
at precise grasping of cluttered small objects. Object density estimation and
rough grasping are conducted in the first stage. Fine segmentation, detection,
grasping, and pushing are performed in the second stage. A small object bin
picking... | [
{
"created": "Sun, 5 Mar 2023 08:05:00 GMT",
"version": "v1"
},
{
"created": "Tue, 7 Mar 2023 06:44:29 GMT",
"version": "v2"
},
{
"created": "Sat, 6 May 2023 06:37:12 GMT",
"version": "v3"
}
] | 2023-05-09 | [
[
"Cao",
"Hanwen",
""
],
[
"Zhou",
"Jianshu",
""
],
[
"Huang",
"Junda",
""
],
[
"Li",
"Yichuan",
""
],
[
"Meng",
"Ng Cheng",
""
],
[
"Cao",
"Rui",
""
],
[
"Dou",
"Qi",
""
],
[
"Liu",
"Yunhui",
... | This paper proposes a novel bin picking framework, two-stage grasping, aiming at precise grasping of cluttered small objects. Object density estimation and rough grasping are conducted in the first stage. Fine segmentation, detection, grasping, and pushing are performed in the second stage. A small object bin picking s... |
2307.09776 | Shaun Azzopardi | Shaun Azzopardi, Nir Piterman, Gerardo Schneider, Luca di Stefano | LTL Synthesis on Infinite-State Arenas defined by Programs | null | null | null | null | cs.LO cs.FL cs.PL cs.SY eess.SY | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This paper deals with the problem of automatically and correctly controlling
infinite-state reactive programs to achieve LTL goals. Applications include
adapting a program to new requirements, or to repair bugs discovered in the
original specification or program code. Existing approaches are able to solve
this proble... | [
{
"created": "Wed, 19 Jul 2023 06:33:51 GMT",
"version": "v1"
}
] | 2023-07-20 | [
[
"Azzopardi",
"Shaun",
""
],
[
"Piterman",
"Nir",
""
],
[
"Schneider",
"Gerardo",
""
],
[
"di Stefano",
"Luca",
""
]
] | This paper deals with the problem of automatically and correctly controlling infinite-state reactive programs to achieve LTL goals. Applications include adapting a program to new requirements, or to repair bugs discovered in the original specification or program code. Existing approaches are able to solve this problem ... |
2104.03133 | Bo Zhang | Bo Zhang and Li Niu and Liqing Zhang | Image Composition Assessment with Saliency-augmented Multi-pattern
Pooling | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Image composition assessment is crucial in aesthetic assessment, which aims
to assess the overall composition quality of a given image. However, to the
best of our knowledge, there is neither dataset nor method specifically
proposed for this task. In this paper, we contribute the first composition
assessment dataset ... | [
{
"created": "Wed, 7 Apr 2021 14:07:17 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Oct 2021 02:09:40 GMT",
"version": "v2"
}
] | 2021-10-19 | [
[
"Zhang",
"Bo",
""
],
[
"Niu",
"Li",
""
],
[
"Zhang",
"Liqing",
""
]
] | Image composition assessment is crucial in aesthetic assessment, which aims to assess the overall composition quality of a given image. However, to the best of our knowledge, there is neither dataset nor method specifically proposed for this task. In this paper, we contribute the first composition assessment dataset CA... |
1505.02348 | Ali Atiia | Ali Atiia, Fran\c{c}ois Major, J\'er\^ome Waldisp\"uhl | The Topology of Biological Networks from a Complexity Perspective | 11 pages, 2 figures, 3 tables, 1 theorem | null | null | null | cs.SI physics.soc-ph q-bio.MN | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A complexity-theoretic approach to studying biological networks is proposed.
A simple graph representation is used where molecules (DNA, RNA, proteins and
chemicals) are vertices and relations between them are directed and signed
(promotional (+) or inhibitory (-)) edges. Based on this model, the problem of
network e... | [
{
"created": "Sun, 10 May 2015 07:06:20 GMT",
"version": "v1"
},
{
"created": "Tue, 12 May 2015 00:42:59 GMT",
"version": "v2"
},
{
"created": "Mon, 18 May 2015 17:22:55 GMT",
"version": "v3"
},
{
"created": "Tue, 24 Apr 2018 15:32:07 GMT",
"version": "v4"
}
] | 2018-04-25 | [
[
"Atiia",
"Ali",
""
],
[
"Major",
"François",
""
],
[
"Waldispühl",
"Jérôme",
""
]
] | A complexity-theoretic approach to studying biological networks is proposed. A simple graph representation is used where molecules (DNA, RNA, proteins and chemicals) are vertices and relations between them are directed and signed (promotional (+) or inhibitory (-)) edges. Based on this model, the problem of network evo... |
2205.13970 | Andrea Passarella | Marco Conti, Andrea Passarella | The Internet of People: A human and data-centric paradigm for the Next
Generation Internet | null | Computer Communications, Volume 131, 2018, Pages 51-65, ISSN
0140-3664 | 10.1016/j.comcom.2018.07.034 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The cyber-physical convergence, the fast expansion of the Internet at its
edge, and tighter interactions between human users and their personal mobile
devices push towards a data-centric Internet where the human user becomes more
central than ever. We argue that this will profoundly impact primarily on the
way data s... | [
{
"created": "Fri, 27 May 2022 13:33:36 GMT",
"version": "v1"
}
] | 2022-05-30 | [
[
"Conti",
"Marco",
""
],
[
"Passarella",
"Andrea",
""
]
] | The cyber-physical convergence, the fast expansion of the Internet at its edge, and tighter interactions between human users and their personal mobile devices push towards a data-centric Internet where the human user becomes more central than ever. We argue that this will profoundly impact primarily on the way data sho... |
2305.18262 | Mert Yuksekgonul | Mert Yuksekgonul, Linjun Zhang, James Zou, Carlos Guestrin | Beyond Confidence: Reliable Models Should Also Consider Atypicality | Published at NeurIPS 2023 | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | While most machine learning models can provide confidence in their
predictions, confidence is insufficient to understand a prediction's
reliability. For instance, the model may have a low confidence prediction if
the input is not well-represented in the training dataset or if the input is
inherently ambiguous. In thi... | [
{
"created": "Mon, 29 May 2023 17:37:09 GMT",
"version": "v1"
},
{
"created": "Mon, 30 Oct 2023 05:24:15 GMT",
"version": "v2"
}
] | 2023-10-31 | [
[
"Yuksekgonul",
"Mert",
""
],
[
"Zhang",
"Linjun",
""
],
[
"Zou",
"James",
""
],
[
"Guestrin",
"Carlos",
""
]
] | While most machine learning models can provide confidence in their predictions, confidence is insufficient to understand a prediction's reliability. For instance, the model may have a low confidence prediction if the input is not well-represented in the training dataset or if the input is inherently ambiguous. In this ... |
1610.05892 | Fuad Aleskerov | F. Aleskerov, N. Meshcheryakova, S. Shvydun | Centrality measures in networks based on nodes attributes, long-range
interactions and group influence | 44 pages | null | null | null | cs.SI physics.soc-ph q-fin.EC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a new method for assessing agents influence in network structures,
which takes into consideration nodes attributes, individual and group
influences of nodes, and the intensity of interactions. This approach helps us
to identify both explicit and hidden central elements which cannot be detected
by classical... | [
{
"created": "Wed, 19 Oct 2016 07:27:02 GMT",
"version": "v1"
}
] | 2016-10-20 | [
[
"Aleskerov",
"F.",
""
],
[
"Meshcheryakova",
"N.",
""
],
[
"Shvydun",
"S.",
""
]
] | We propose a new method for assessing agents influence in network structures, which takes into consideration nodes attributes, individual and group influences of nodes, and the intensity of interactions. This approach helps us to identify both explicit and hidden central elements which cannot be detected by classical c... |
1809.10283 | Christopher Iliffe Sprague | Christopher Iliffe Sprague, Petter \"Ogren | Adding Neural Network Controllers to Behavior Trees without Destroying
Performance Guarantees | Accepted as Regular Paper to The 61th IEEE Conference on Decision and
Control (CDC 2022) | null | null | null | cs.RO cs.AI cs.LG cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we show how Behavior Trees that have performance guarantees,
in terms of safety and goal convergence, can be extended with components that
were designed using machine learning, without destroying those performance
guarantees.
Machine learning approaches such as reinforcement learning or learning from... | [
{
"created": "Wed, 26 Sep 2018 12:23:19 GMT",
"version": "v1"
},
{
"created": "Sun, 30 Jun 2019 11:36:39 GMT",
"version": "v2"
},
{
"created": "Mon, 25 Jul 2022 09:14:25 GMT",
"version": "v3"
}
] | 2022-07-26 | [
[
"Sprague",
"Christopher Iliffe",
""
],
[
"Ögren",
"Petter",
""
]
] | In this paper, we show how Behavior Trees that have performance guarantees, in terms of safety and goal convergence, can be extended with components that were designed using machine learning, without destroying those performance guarantees. Machine learning approaches such as reinforcement learning or learning from dem... |
2306.06508 | Wenxuan Bao | Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He | Optimizing the Collaboration Structure in Cross-Silo Federated Learning | Accepted by ICML 2023 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In federated learning (FL), multiple clients collaborate to train machine
learning models together while keeping their data decentralized. Through
utilizing more training data, FL suffers from the potential negative transfer
problem: the global FL model may even perform worse than the models trained
with local data o... | [
{
"created": "Sat, 10 Jun 2023 18:59:50 GMT",
"version": "v1"
}
] | 2023-06-13 | [
[
"Bao",
"Wenxuan",
""
],
[
"Wang",
"Haohan",
""
],
[
"Wu",
"Jun",
""
],
[
"He",
"Jingrui",
""
]
] | In federated learning (FL), multiple clients collaborate to train machine learning models together while keeping their data decentralized. Through utilizing more training data, FL suffers from the potential negative transfer problem: the global FL model may even perform worse than the models trained with local data onl... |
1802.04358 | Chulaka Gunasekara | Song Feng, R. Chulaka Gunasekara, Sunil Shashidhara, Kshitij P. Fadnis
and Lazaros C. Polymenakos | A Unified Implicit Dialog Framework for Conversational Search | Appeared as a demo in AAAI-2018 | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We propose a unified Implicit Dialog framework for goal-oriented, information
seeking tasks of Conversational Search applications. It aims to enable dialog
interactions with domain data without replying on explicitly encoded the rules
but utilizing the underlying data representation to build the components
required f... | [
{
"created": "Mon, 12 Feb 2018 20:53:50 GMT",
"version": "v1"
}
] | 2018-02-14 | [
[
"Feng",
"Song",
""
],
[
"Gunasekara",
"R. Chulaka",
""
],
[
"Shashidhara",
"Sunil",
""
],
[
"Fadnis",
"Kshitij P.",
""
],
[
"Polymenakos",
"Lazaros C.",
""
]
] | We propose a unified Implicit Dialog framework for goal-oriented, information seeking tasks of Conversational Search applications. It aims to enable dialog interactions with domain data without replying on explicitly encoded the rules but utilizing the underlying data representation to build the components required for... |
1809.00999 | Abdallah Moussawi | Abdallah Moussawi | Towards Large Scale Training Of Autoencoders For Collaborative Filtering | 2 pages, ACM RecSys 2018 Late-breaking Results Track (Posters) | null | null | null | cs.IR cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we apply a mini-batch based negative sampling method to
efficiently train a latent factor autoencoder model on large scale and sparse
data for implicit feedback collaborative filtering. We compare our work against
a state-of-the-art baseline model on different experimental datasets and show
that this m... | [
{
"created": "Thu, 30 Aug 2018 22:34:29 GMT",
"version": "v1"
},
{
"created": "Sat, 20 Oct 2018 00:13:30 GMT",
"version": "v2"
},
{
"created": "Tue, 23 Oct 2018 07:44:07 GMT",
"version": "v3"
}
] | 2018-10-24 | [
[
"Moussawi",
"Abdallah",
""
]
] | In this paper, we apply a mini-batch based negative sampling method to efficiently train a latent factor autoencoder model on large scale and sparse data for implicit feedback collaborative filtering. We compare our work against a state-of-the-art baseline model on different experimental datasets and show that this met... |
2109.12719 | Julian D. Cortes | Julian D. Cortes, Daniel A. Andrade | The Colombian Scientific Elite -- Science Mapping and Bibliometric
Outlook | null | null | null | null | cs.DL cs.SI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | A well established agenda on the research output, impact, and structure of
global scientific elites such as Nobel Prize laureates has generated interest
in the scientific elites from developing countries. This study deploys science
mapping techniques to provide a comprehensive analysis of the output, impact,
and stru... | [
{
"created": "Sun, 26 Sep 2021 23:12:04 GMT",
"version": "v1"
}
] | 2021-09-28 | [
[
"Cortes",
"Julian D.",
""
],
[
"Andrade",
"Daniel A.",
""
]
] | A well established agenda on the research output, impact, and structure of global scientific elites such as Nobel Prize laureates has generated interest in the scientific elites from developing countries. This study deploys science mapping techniques to provide a comprehensive analysis of the output, impact, and struct... |
1804.04976 | Daniele De Martini | Mirto Musci, Daniele De Martini, Nicola Blago, Tullio Facchinetti and
Marco Piastra | Online Fall Detection using Recurrent Neural Networks | 6 pages, ICRA 2018 | null | 10.1109/TETC.2020.3027454 | null | cs.CY cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Unintentional falls can cause severe injuries and even death, especially if
no immediate assistance is given. The aim of Fall Detection Systems (FDSs) is
to detect an occurring fall. This information can be used to trigger the
necessary assistance in case of injury. This can be done by using either
ambient-based sens... | [
{
"created": "Fri, 13 Apr 2018 14:58:51 GMT",
"version": "v1"
}
] | 2020-10-05 | [
[
"Musci",
"Mirto",
""
],
[
"De Martini",
"Daniele",
""
],
[
"Blago",
"Nicola",
""
],
[
"Facchinetti",
"Tullio",
""
],
[
"Piastra",
"Marco",
""
]
] | Unintentional falls can cause severe injuries and even death, especially if no immediate assistance is given. The aim of Fall Detection Systems (FDSs) is to detect an occurring fall. This information can be used to trigger the necessary assistance in case of injury. This can be done by using either ambient-based sensor... |
1701.08435 | Joost van Amersfoort | Joost van Amersfoort, Anitha Kannan, Marc'Aurelio Ranzato, Arthur
Szlam, Du Tran and Soumith Chintala | Transformation-Based Models of Video Sequences | null | null | null | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work we propose a simple unsupervised approach for next frame
prediction in video. Instead of directly predicting the pixels in a frame given
past frames, we predict the transformations needed for generating the next
frame in a sequence, given the transformations of the past frames. This leads
to sharper resu... | [
{
"created": "Sun, 29 Jan 2017 21:39:05 GMT",
"version": "v1"
},
{
"created": "Mon, 24 Apr 2017 20:20:40 GMT",
"version": "v2"
},
{
"created": "Mon, 6 Feb 2023 14:49:05 GMT",
"version": "v3"
}
] | 2023-02-07 | [
[
"van Amersfoort",
"Joost",
""
],
[
"Kannan",
"Anitha",
""
],
[
"Ranzato",
"Marc'Aurelio",
""
],
[
"Szlam",
"Arthur",
""
],
[
"Tran",
"Du",
""
],
[
"Chintala",
"Soumith",
""
]
] | In this work we propose a simple unsupervised approach for next frame prediction in video. Instead of directly predicting the pixels in a frame given past frames, we predict the transformations needed for generating the next frame in a sequence, given the transformations of the past frames. This leads to sharper result... |
2407.20775 | Harry J Davies | Harry J. Davies, James Monsen, Danilo P. Mandic | Interpretable Pre-Trained Transformers for Heart Time-Series Data | 14 pages, 5 figures | null | null | null | cs.LG cs.AI eess.SP | http://creativecommons.org/licenses/by/4.0/ | Decoder-only transformers are the backbone of the popular generative
pre-trained transformer (GPT) series of large language models. In this work, we
employ this framework to the analysis of clinical heart time-series data, to
create two pre-trained general purpose cardiac models, termed PPG-PT and
ECG-PT. We place a ... | [
{
"created": "Tue, 30 Jul 2024 12:22:03 GMT",
"version": "v1"
},
{
"created": "Tue, 13 Aug 2024 10:18:45 GMT",
"version": "v2"
}
] | 2024-08-14 | [
[
"Davies",
"Harry J.",
""
],
[
"Monsen",
"James",
""
],
[
"Mandic",
"Danilo P.",
""
]
] | Decoder-only transformers are the backbone of the popular generative pre-trained transformer (GPT) series of large language models. In this work, we employ this framework to the analysis of clinical heart time-series data, to create two pre-trained general purpose cardiac models, termed PPG-PT and ECG-PT. We place a sp... |
1808.00048 | Christos Rodosthenous | Christos Rodosthenous and Loizos Michael | Web-STAR: A Visual Web-Based IDE for a Story Comprehension System | Under consideration in Theory and Practice of Logic Programming
(TPLP) | null | null | null | cs.CY cs.AI cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present Web-STAR, an online platform for story understanding built on top
of the STAR reasoning engine for STory comprehension through ARgumentation. The
platform includes a web-based IDE, integration with the STAR system, and a web
service infrastructure to support integration with other systems that rely on
stor... | [
{
"created": "Sat, 28 Jul 2018 05:09:27 GMT",
"version": "v1"
}
] | 2018-08-02 | [
[
"Rodosthenous",
"Christos",
""
],
[
"Michael",
"Loizos",
""
]
] | We present Web-STAR, an online platform for story understanding built on top of the STAR reasoning engine for STory comprehension through ARgumentation. The platform includes a web-based IDE, integration with the STAR system, and a web service infrastructure to support integration with other systems that rely on story ... |
2002.11107 | Okyu Kwon | Okyu Kwon | Very simple statistical evidence that AlphaGo has exceeded human limits
in playing GO game | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep learning technology is making great progress in solving the challenging
problems of artificial intelligence, hence machine learning based on artificial
neural networks is in the spotlight again. In some areas, artificial
intelligence based on deep learning is beyond human capabilities. It seemed
extremely diffic... | [
{
"created": "Tue, 25 Feb 2020 01:46:12 GMT",
"version": "v1"
}
] | 2020-02-27 | [
[
"Kwon",
"Okyu",
""
]
] | Deep learning technology is making great progress in solving the challenging problems of artificial intelligence, hence machine learning based on artificial neural networks is in the spotlight again. In some areas, artificial intelligence based on deep learning is beyond human capabilities. It seemed extremely difficul... |
2004.03630 | Harish Doraiswamy | Harish Doraiswamy and Juliana Freire | A GPU-friendly Geometric Data Model and Algebra for Spatial Queries:
Extended Version | This is the extended version of the paper published in SIGMOD 2020 | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The availability of low cost sensors has led to an unprecedented growth in
the volume of spatial data. However, the time required to evaluate even simple
spatial queries over large data sets greatly hampers our ability to
interactively explore these data sets and extract actionable insights. Graphics
Processing Units... | [
{
"created": "Tue, 7 Apr 2020 18:10:53 GMT",
"version": "v1"
}
] | 2020-04-09 | [
[
"Doraiswamy",
"Harish",
""
],
[
"Freire",
"Juliana",
""
]
] | The availability of low cost sensors has led to an unprecedented growth in the volume of spatial data. However, the time required to evaluate even simple spatial queries over large data sets greatly hampers our ability to interactively explore these data sets and extract actionable insights. Graphics Processing Units~(... |
2308.01923 | Zhenpeng Chen | Zhenpeng Chen and Jie M. Zhang and Federica Sarro and Mark Harman | Fairness Improvement with Multiple Protected Attributes: How Far Are We? | Accepted by the 46th International Conference on Software Engineering
(ICSE 2024). Please include ICSE in any citations | null | null | null | cs.LG cs.AI cs.CY cs.SE | http://creativecommons.org/licenses/by/4.0/ | Existing research mostly improves the fairness of Machine Learning (ML)
software regarding a single protected attribute at a time, but this is
unrealistic given that many users have multiple protected attributes. This
paper conducts an extensive study of fairness improvement regarding multiple
protected attributes, c... | [
{
"created": "Tue, 25 Jul 2023 14:01:23 GMT",
"version": "v1"
},
{
"created": "Fri, 3 Nov 2023 16:16:35 GMT",
"version": "v2"
},
{
"created": "Thu, 4 Apr 2024 16:54:25 GMT",
"version": "v3"
}
] | 2024-04-05 | [
[
"Chen",
"Zhenpeng",
""
],
[
"Zhang",
"Jie M.",
""
],
[
"Sarro",
"Federica",
""
],
[
"Harman",
"Mark",
""
]
] | Existing research mostly improves the fairness of Machine Learning (ML) software regarding a single protected attribute at a time, but this is unrealistic given that many users have multiple protected attributes. This paper conducts an extensive study of fairness improvement regarding multiple protected attributes, cov... |
2110.04525 | Xutan Peng | Jinghui Si, Xutan Peng, Chen Li, Haotian Xu, Jianxin Li | Generating Disentangled Arguments with Prompts: A Simple Event
Extraction Framework that Works | Accepted at ICASSP 2022. Without the strict length constraint, this
version (slightly) extends the conference camera-ready version | null | null | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Event Extraction bridges the gap between text and event signals. Based on the
assumption of trigger-argument dependency, existing approaches have achieved
state-of-the-art performance with expert-designed templates or complicated
decoding constraints. In this paper, for the first time we introduce the
prompt-based le... | [
{
"created": "Sat, 9 Oct 2021 09:36:08 GMT",
"version": "v1"
},
{
"created": "Tue, 15 Feb 2022 12:07:29 GMT",
"version": "v2"
}
] | 2022-02-16 | [
[
"Si",
"Jinghui",
""
],
[
"Peng",
"Xutan",
""
],
[
"Li",
"Chen",
""
],
[
"Xu",
"Haotian",
""
],
[
"Li",
"Jianxin",
""
]
] | Event Extraction bridges the gap between text and event signals. Based on the assumption of trigger-argument dependency, existing approaches have achieved state-of-the-art performance with expert-designed templates or complicated decoding constraints. In this paper, for the first time we introduce the prompt-based lear... |
1606.04199 | Jie Zhou | Jie Zhou and Ying Cao and Xuguang Wang and Peng Li and Wei Xu | Deep Recurrent Models with Fast-Forward Connections for Neural Machine
Translation | TACL 2016 | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neural machine translation (NMT) aims at solving machine translation (MT)
problems using neural networks and has exhibited promising results in recent
years. However, most of the existing NMT models are shallow and there is still
a performance gap between a single NMT model and the best conventional MT
system. In thi... | [
{
"created": "Tue, 14 Jun 2016 03:53:00 GMT",
"version": "v1"
},
{
"created": "Wed, 15 Jun 2016 04:21:03 GMT",
"version": "v2"
},
{
"created": "Sat, 23 Jul 2016 13:14:17 GMT",
"version": "v3"
}
] | 2016-07-26 | [
[
"Zhou",
"Jie",
""
],
[
"Cao",
"Ying",
""
],
[
"Wang",
"Xuguang",
""
],
[
"Li",
"Peng",
""
],
[
"Xu",
"Wei",
""
]
] | Neural machine translation (NMT) aims at solving machine translation (MT) problems using neural networks and has exhibited promising results in recent years. However, most of the existing NMT models are shallow and there is still a performance gap between a single NMT model and the best conventional MT system. In this ... |
2205.12472 | Manoj Mathews | Manoj Mathews | Mathematical Modelling of TEAM and VTEAM Memristor Model Using VerilogA | null | null | null | null | cs.ET cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | Anyone who looks into the circuitry world will be familiar with the three
fundamental circuit elements - capacitor, resistor, and inductor. These circuit
elements are defined by the relation between two of the four fundamental
circuit variables current, voltage, charge, and flux. However, in 1971, Prof.
Leon Chua pro... | [
{
"created": "Wed, 25 May 2022 03:51:56 GMT",
"version": "v1"
}
] | 2022-05-26 | [
[
"Mathews",
"Manoj",
""
]
] | Anyone who looks into the circuitry world will be familiar with the three fundamental circuit elements - capacitor, resistor, and inductor. These circuit elements are defined by the relation between two of the four fundamental circuit variables current, voltage, charge, and flux. However, in 1971, Prof. Leon Chua propo... |
2406.05162 | Russell Brown | Russell A. Brown | Optimized Deletion From an AVL Tree | 5 pages, 1 figure, 1 table | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An AVL tree is a binary search tree that guarantees $ O\left( \log n \right )
$ search. The guarantee is obtained at the cost of rebalancing the AVL tree,
potentially after each insertion or deletion. This article proposes a deletion
algorithm that reduces the rebalancing required after deletion compared to the
rebal... | [
{
"created": "Fri, 7 Jun 2024 00:48:47 GMT",
"version": "v1"
},
{
"created": "Tue, 11 Jun 2024 17:52:30 GMT",
"version": "v2"
},
{
"created": "Tue, 18 Jun 2024 13:17:07 GMT",
"version": "v3"
},
{
"created": "Tue, 25 Jun 2024 16:40:11 GMT",
"version": "v4"
},
{
"cr... | 2024-08-13 | [
[
"Brown",
"Russell A.",
""
]
] | An AVL tree is a binary search tree that guarantees $ O\left( \log n \right ) $ search. The guarantee is obtained at the cost of rebalancing the AVL tree, potentially after each insertion or deletion. This article proposes a deletion algorithm that reduces the rebalancing required after deletion compared to the rebalan... |
2103.02521 | Alec Diaz-Arias | Alec Diaz-Arias, Mitchell Messmore, Dmitriy Shin, and Stephen Baek | On the role of depth predictions for 3D human pose estimation | 13 pages, 6 figures, and 8 tables | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Following the successful application of deep convolutional neural networks to
2d human pose estimation, the next logical problem to solve is 3d human pose
estimation from monocular images. While previous solutions have shown some
success, they do not fully utilize the depth information from the 2d inputs.
With the go... | [
{
"created": "Wed, 3 Mar 2021 16:51:38 GMT",
"version": "v1"
}
] | 2021-03-04 | [
[
"Diaz-Arias",
"Alec",
""
],
[
"Messmore",
"Mitchell",
""
],
[
"Shin",
"Dmitriy",
""
],
[
"Baek",
"Stephen",
""
]
] | Following the successful application of deep convolutional neural networks to 2d human pose estimation, the next logical problem to solve is 3d human pose estimation from monocular images. While previous solutions have shown some success, they do not fully utilize the depth information from the 2d inputs. With the goal... |
2210.09880 | Yudong Xu | Yudong Xu, Elias B. Khalil, Scott Sanner | Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus | 9 pages, 5 figures, to be published in AAAI-23 | null | null | null | cs.AI | http://creativecommons.org/licenses/by/4.0/ | The Abstraction and Reasoning Corpus (ARC) aims at benchmarking the
performance of general artificial intelligence algorithms. The ARC's focus on
broad generalization and few-shot learning has made it difficult to solve using
pure machine learning. A more promising approach has been to perform program
synthesis withi... | [
{
"created": "Tue, 18 Oct 2022 14:13:43 GMT",
"version": "v1"
},
{
"created": "Fri, 2 Dec 2022 00:54:33 GMT",
"version": "v2"
}
] | 2022-12-05 | [
[
"Xu",
"Yudong",
""
],
[
"Khalil",
"Elias B.",
""
],
[
"Sanner",
"Scott",
""
]
] | The Abstraction and Reasoning Corpus (ARC) aims at benchmarking the performance of general artificial intelligence algorithms. The ARC's focus on broad generalization and few-shot learning has made it difficult to solve using pure machine learning. A more promising approach has been to perform program synthesis within ... |
2311.02055 | Matthew Guthaus | M. Guthaus, C. Batten, E. Brunvand, P.E. Gaillardon, D. harris, R.
Manohar, P. Mazumder, L. Pileggi, J. Stine | NSF Integrated Circuit Research, Education and Workforce Development
Workshop Final Report | This material is based upon work supported by the NSF under Grant No.
2137629 | null | null | null | cs.AR | http://creativecommons.org/licenses/by-sa/4.0/ | As the pace of progress that has followed Moore's law continues to diminish,
it is critical that the US support Integrated Circuit (IC or chip) education
and research to maintain technological innovation. Furthermore, US economic
independence, security, and future international standing rely on having
on-shore IC des... | [
{
"created": "Fri, 3 Nov 2023 17:33:59 GMT",
"version": "v1"
}
] | 2023-11-06 | [
[
"Guthaus",
"M.",
""
],
[
"Batten",
"C.",
""
],
[
"Brunvand",
"E.",
""
],
[
"Gaillardon",
"P. E.",
""
],
[
"harris",
"D.",
""
],
[
"Manohar",
"R.",
""
],
[
"Mazumder",
"P.",
""
],
[
"Pileggi",
"L... | As the pace of progress that has followed Moore's law continues to diminish, it is critical that the US support Integrated Circuit (IC or chip) education and research to maintain technological innovation. Furthermore, US economic independence, security, and future international standing rely on having on-shore IC desig... |
2309.07984 | Johnathan Alsop | Johnathan Alsop, Shaizeen Aga, Mohamed Ibrahim, Mahzabeen Islam,
Andrew Mccrabb, Nuwan Jayasena | Inclusive-PIM: Hardware-Software Co-design for Broad Acceleration on
Commercial PIM Architectures | null | null | null | null | cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Continual demand for memory bandwidth has made it worthwhile for memory
vendors to reassess processing in memory (PIM), which enables higher bandwidth
by placing compute units in/near-memory. As such, memory vendors have recently
proposed commercially viable PIM designs. However, these proposals are largely
driven by... | [
{
"created": "Thu, 14 Sep 2023 18:42:29 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Sep 2023 17:55:24 GMT",
"version": "v2"
},
{
"created": "Wed, 17 Jan 2024 16:00:27 GMT",
"version": "v3"
}
] | 2024-01-18 | [
[
"Alsop",
"Johnathan",
""
],
[
"Aga",
"Shaizeen",
""
],
[
"Ibrahim",
"Mohamed",
""
],
[
"Islam",
"Mahzabeen",
""
],
[
"Mccrabb",
"Andrew",
""
],
[
"Jayasena",
"Nuwan",
""
]
] | Continual demand for memory bandwidth has made it worthwhile for memory vendors to reassess processing in memory (PIM), which enables higher bandwidth by placing compute units in/near-memory. As such, memory vendors have recently proposed commercially viable PIM designs. However, these proposals are largely driven by t... |
2311.05589 | Zhuang Liu | Yida Yin, Zhiqiu Xu, Zhiyuan Li, Trevor Darrell, Zhuang Liu | A Coefficient Makes SVRG Effective | Preprint | null | null | null | cs.LG math.OC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Stochastic Variance Reduced Gradient (SVRG), introduced by Johnson & Zhang
(2013), is a theoretically compelling optimization method. However, as Defazio
& Bottou (2019) highlights, its effectiveness in deep learning is yet to be
proven. In this work, we demonstrate the potential of SVRG in optimizing
real-world neur... | [
{
"created": "Thu, 9 Nov 2023 18:47:44 GMT",
"version": "v1"
}
] | 2023-11-10 | [
[
"Yin",
"Yida",
""
],
[
"Xu",
"Zhiqiu",
""
],
[
"Li",
"Zhiyuan",
""
],
[
"Darrell",
"Trevor",
""
],
[
"Liu",
"Zhuang",
""
]
] | Stochastic Variance Reduced Gradient (SVRG), introduced by Johnson & Zhang (2013), is a theoretically compelling optimization method. However, as Defazio & Bottou (2019) highlights, its effectiveness in deep learning is yet to be proven. In this work, we demonstrate the potential of SVRG in optimizing real-world neural... |
1402.2635 | Bei Yu | Bei Yu and Xiaoqing Xu and Jhih-Rong Gao and David Z. Pan | Methodology for standard cell compliance and detailed placement for
triple patterning lithography | null | null | null | null | cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As the feature size of semiconductor process further scales to sub-16nm
technology node, triple patterning lithography (TPL) has been regarded one of
the most promising lithography candidates. M1 and contact layers, which are
usually deployed within standard cells, are most critical and complex parts for
modern digit... | [
{
"created": "Tue, 11 Feb 2014 20:29:09 GMT",
"version": "v1"
}
] | 2014-02-12 | [
[
"Yu",
"Bei",
""
],
[
"Xu",
"Xiaoqing",
""
],
[
"Gao",
"Jhih-Rong",
""
],
[
"Pan",
"David Z.",
""
]
] | As the feature size of semiconductor process further scales to sub-16nm technology node, triple patterning lithography (TPL) has been regarded one of the most promising lithography candidates. M1 and contact layers, which are usually deployed within standard cells, are most critical and complex parts for modern digital... |
1411.0225 | Zubair Nabi Zubair Nabi | Zubair Nabi | Censorship is Futile | First Monday, Volume 19, Number 11 - 3 November 2014 | null | 10.5210/fm.v19i11. | null | cs.CY | http://creativecommons.org/licenses/publicdomain/ | The Internet has become the new battle ground between authoritarian regimes
and ordinary individuals who want unimpeded access to information. The immense
popularity of online activism and citizen journalism enabled by social media
has instigated state level players to partially or completely block access to
the Inte... | [
{
"created": "Sun, 2 Nov 2014 08:45:48 GMT",
"version": "v1"
}
] | 2014-11-04 | [
[
"Nabi",
"Zubair",
""
]
] | The Internet has become the new battle ground between authoritarian regimes and ordinary individuals who want unimpeded access to information. The immense popularity of online activism and citizen journalism enabled by social media has instigated state level players to partially or completely block access to the Intern... |
1904.03885 | Peratham Wiriyathammabhum Mr. | Peratham Wiriyathammabhum, Abhinav Shrivastava, Vlad I. Morariu, Larry
S. Davis | Referring to Objects in Videos using Spatio-Temporal Identifying
Descriptions | null | null | null | null | cs.CV cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a new task, the grounding of spatio-temporal identifying
descriptions in videos. Previous work suggests potential bias in existing
datasets and emphasizes the need for a new data creation schema to better model
linguistic structure. We introduce a new data collection scheme based on
grammatical co... | [
{
"created": "Mon, 8 Apr 2019 08:28:54 GMT",
"version": "v1"
}
] | 2019-04-09 | [
[
"Wiriyathammabhum",
"Peratham",
""
],
[
"Shrivastava",
"Abhinav",
""
],
[
"Morariu",
"Vlad I.",
""
],
[
"Davis",
"Larry S.",
""
]
] | This paper presents a new task, the grounding of spatio-temporal identifying descriptions in videos. Previous work suggests potential bias in existing datasets and emphasizes the need for a new data creation schema to better model linguistic structure. We introduce a new data collection scheme based on grammatical cons... |
1901.07010 | Reazul Hasan Russel | Reazul Hasan Russel | A Short Survey on Probabilistic Reinforcement Learning | 7 pages, originally written as a literature survey for PhD candidacy
exam | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A reinforcement learning agent tries to maximize its cumulative payoff by
interacting in an unknown environment. It is important for the agent to explore
suboptimal actions as well as to pick actions with highest known rewards. Yet,
in sensitive domains, collecting more data with exploration is not always
possible, b... | [
{
"created": "Mon, 21 Jan 2019 17:52:06 GMT",
"version": "v1"
}
] | 2019-01-23 | [
[
"Russel",
"Reazul Hasan",
""
]
] | A reinforcement learning agent tries to maximize its cumulative payoff by interacting in an unknown environment. It is important for the agent to explore suboptimal actions as well as to pick actions with highest known rewards. Yet, in sensitive domains, collecting more data with exploration is not always possible, but... |
2310.17533 | Anaelia Ovalle | Anaelia Ovalle | Decoding The Digital Fuku: Deciphering Colonial Legacies to Critically
Assess ChatGPT in Dominican Education | null | null | null | null | cs.CY | http://creativecommons.org/licenses/by/4.0/ | Educational disparities within the Dominican Republic (DR) have long-standing
origins rooted in economic, political, and social inequity. Addressing these
challenges has necessarily called for capacity building with respect to
educational materials, high-quality instruction, and structural resourcing.
Generative AI t... | [
{
"created": "Thu, 26 Oct 2023 16:20:35 GMT",
"version": "v1"
},
{
"created": "Tue, 31 Oct 2023 13:41:49 GMT",
"version": "v2"
}
] | 2023-11-01 | [
[
"Ovalle",
"Anaelia",
""
]
] | Educational disparities within the Dominican Republic (DR) have long-standing origins rooted in economic, political, and social inequity. Addressing these challenges has necessarily called for capacity building with respect to educational materials, high-quality instruction, and structural resourcing. Generative AI too... |
2201.02113 | Jose Bonet | Jos\'e Bonet and Jos\'e Bonet | ConTrip: Consensus Sentiment review Analysis and Platform ratings in a
single score | 4 pagines, 1 figure | null | null | null | cs.CL | http://creativecommons.org/licenses/by-sa/4.0/ | People unequivocally employ reviews to decide on purchasing an item or an
experience on the internet. In that regard, the growing significance and number
of opinions have led to the development of methods to assess their sentiment
content automatically. However, it is not straightforward for the models to
create a co... | [
{
"created": "Thu, 6 Jan 2022 15:50:34 GMT",
"version": "v1"
}
] | 2022-01-07 | [
[
"Bonet",
"José",
""
],
[
"Bonet",
"José",
""
]
] | People unequivocally employ reviews to decide on purchasing an item or an experience on the internet. In that regard, the growing significance and number of opinions have led to the development of methods to assess their sentiment content automatically. However, it is not straightforward for the models to create a cons... |
2302.12611 | Nils Dycke | Dennis Zyska, Nils Dycke, Jan Buchmann, Ilia Kuznetsov, Iryna Gurevych | CARE: Collaborative AI-Assisted Reading Environment | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Recent years have seen impressive progress in AI-assisted writing, yet the
developments in AI-assisted reading are lacking. We propose inline commentary
as a natural vehicle for AI-based reading assistance, and present CARE: the
first open integrated platform for the study of inline commentary and reading.
CARE facil... | [
{
"created": "Fri, 24 Feb 2023 12:55:31 GMT",
"version": "v1"
}
] | 2023-02-27 | [
[
"Zyska",
"Dennis",
""
],
[
"Dycke",
"Nils",
""
],
[
"Buchmann",
"Jan",
""
],
[
"Kuznetsov",
"Ilia",
""
],
[
"Gurevych",
"Iryna",
""
]
] | Recent years have seen impressive progress in AI-assisted writing, yet the developments in AI-assisted reading are lacking. We propose inline commentary as a natural vehicle for AI-based reading assistance, and present CARE: the first open integrated platform for the study of inline commentary and reading. CARE facilit... |
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