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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2312.05966 | Rui Ye | Rui Ye, Yaxin Du, Zhenyang Ni, Siheng Chen, Yanfeng Wang | Fake It Till Make It: Federated Learning with Consensus-Oriented
Generation | 27 pages | null | null | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In federated learning (FL), data heterogeneity is one key bottleneck that
causes model divergence and limits performance. Addressing this, existing
methods often regard data heterogeneity as an inherent property and propose to
mitigate its adverse effects by correcting models. In this paper, we seek to
break this inh... | [
{
"created": "Sun, 10 Dec 2023 18:49:59 GMT",
"version": "v1"
}
] | 2023-12-12 | [
[
"Ye",
"Rui",
""
],
[
"Du",
"Yaxin",
""
],
[
"Ni",
"Zhenyang",
""
],
[
"Chen",
"Siheng",
""
],
[
"Wang",
"Yanfeng",
""
]
] | In federated learning (FL), data heterogeneity is one key bottleneck that causes model divergence and limits performance. Addressing this, existing methods often regard data heterogeneity as an inherent property and propose to mitigate its adverse effects by correcting models. In this paper, we seek to break this inher... |
2307.07928 | Xiaohang Ren | Xiaohang Ren, Xingyu Chen, Pengfei Yao, Heung-Yeung Shum, Baoyuan Wang | Reinforced Disentanglement for Face Swapping without Skip Connection | Accepted by ICCV 2023 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The SOTA face swap models still suffer the problem of either target identity
(i.e., shape) being leaked or the target non-identity attributes (i.e.,
background, hair) failing to be fully preserved in the final results. We show
that this insufficient disentanglement is caused by two flawed designs that
were commonly a... | [
{
"created": "Sun, 16 Jul 2023 02:44:19 GMT",
"version": "v1"
},
{
"created": "Wed, 19 Jul 2023 01:43:59 GMT",
"version": "v2"
},
{
"created": "Wed, 26 Jul 2023 01:59:06 GMT",
"version": "v3"
},
{
"created": "Thu, 3 Aug 2023 06:05:02 GMT",
"version": "v4"
}
] | 2023-08-04 | [
[
"Ren",
"Xiaohang",
""
],
[
"Chen",
"Xingyu",
""
],
[
"Yao",
"Pengfei",
""
],
[
"Shum",
"Heung-Yeung",
""
],
[
"Wang",
"Baoyuan",
""
]
] | The SOTA face swap models still suffer the problem of either target identity (i.e., shape) being leaked or the target non-identity attributes (i.e., background, hair) failing to be fully preserved in the final results. We show that this insufficient disentanglement is caused by two flawed designs that were commonly ado... |
1909.04117 | Sandro Rama Fiorini | Sandro Rama Fiorini, Wallas Sousa dos Santos, Rodrigo Costa Mesquita,
Guilherme Ferreira Lima, Marcio F. Moreno | General Fragment Model for Information Artifacts | null | null | null | null | cs.AI cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The use of semantic descriptions in data intensive domains require a
systematic model for linking semantic descriptions with their manifestations in
fragments of heterogeneous information and data objects. Such information
heterogeneity requires a fragment model that is general enough to support the
specification of ... | [
{
"created": "Mon, 9 Sep 2019 19:29:17 GMT",
"version": "v1"
}
] | 2019-09-11 | [
[
"Fiorini",
"Sandro Rama",
""
],
[
"Santos",
"Wallas Sousa dos",
""
],
[
"Mesquita",
"Rodrigo Costa",
""
],
[
"Lima",
"Guilherme Ferreira",
""
],
[
"Moreno",
"Marcio F.",
""
]
] | The use of semantic descriptions in data intensive domains require a systematic model for linking semantic descriptions with their manifestations in fragments of heterogeneous information and data objects. Such information heterogeneity requires a fragment model that is general enough to support the specification of an... |
2306.10558 | Marco B. Caminati | Marco B. Caminati | Isabelle Formalisation of Original Representation Theorems | accepted by CICM 2023 conference (regular paper) | null | null | null | cs.LO cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | In a recent paper, new theorems linking apparently unrelated mathematical
objects (event structures from concurrency theory and full graphs arising in
computational biology) were discovered by cross-site data mining on huge
databases, and building on existing Isabelle-verified event structures
enumeration algorithms.... | [
{
"created": "Sun, 18 Jun 2023 13:43:21 GMT",
"version": "v1"
}
] | 2023-06-21 | [
[
"Caminati",
"Marco B.",
""
]
] | In a recent paper, new theorems linking apparently unrelated mathematical objects (event structures from concurrency theory and full graphs arising in computational biology) were discovered by cross-site data mining on huge databases, and building on existing Isabelle-verified event structures enumeration algorithms. G... |
2105.00937 | Kwang Hee Lee | Kwang Hee Lee, Chaewon Park, Junghyun Oh, Nojun Kwak | LFI-CAM: Learning Feature Importance for Better Visual Explanation | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Class Activation Mapping (CAM) is a powerful technique used to understand the
decision making of Convolutional Neural Network (CNN) in computer vision.
Recently, there have been attempts not only to generate better visual
explanations, but also to improve classification performance using visual
explanations. However,... | [
{
"created": "Mon, 3 May 2021 15:12:21 GMT",
"version": "v1"
}
] | 2021-05-04 | [
[
"Lee",
"Kwang Hee",
""
],
[
"Park",
"Chaewon",
""
],
[
"Oh",
"Junghyun",
""
],
[
"Kwak",
"Nojun",
""
]
] | Class Activation Mapping (CAM) is a powerful technique used to understand the decision making of Convolutional Neural Network (CNN) in computer vision. Recently, there have been attempts not only to generate better visual explanations, but also to improve classification performance using visual explanations. However, t... |
1909.09141 | Elliot Creager | Elliot Creager, David Madras, Toniann Pitassi, Richard Zemel | Causal Modeling for Fairness in Dynamical Systems | null | null | null | null | cs.LG cs.AI cs.CY stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In many application areas---lending, education, and online recommenders, for
example---fairness and equity concerns emerge when a machine learning system
interacts with a dynamically changing environment to produce both immediate and
long-term effects for individuals and demographic groups. We discuss causal
directed... | [
{
"created": "Wed, 18 Sep 2019 20:21:56 GMT",
"version": "v1"
},
{
"created": "Mon, 6 Jul 2020 17:43:02 GMT",
"version": "v2"
}
] | 2020-07-07 | [
[
"Creager",
"Elliot",
""
],
[
"Madras",
"David",
""
],
[
"Pitassi",
"Toniann",
""
],
[
"Zemel",
"Richard",
""
]
] | In many application areas---lending, education, and online recommenders, for example---fairness and equity concerns emerge when a machine learning system interacts with a dynamically changing environment to produce both immediate and long-term effects for individuals and demographic groups. We discuss causal directed a... |
2111.09641 | Raivo Koot | Raivo Koot, Markus Hennerbichler, Haiping Lu | Evaluating Transformers for Lightweight Action Recognition | pre-print | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In video action recognition, transformers consistently reach state-of-the-art
accuracy. However, many models are too heavyweight for the average researcher
with limited hardware resources. In this work, we explore the limitations of
video transformers for lightweight action recognition. We benchmark 13 video
transfor... | [
{
"created": "Thu, 18 Nov 2021 11:45:42 GMT",
"version": "v1"
},
{
"created": "Tue, 7 Dec 2021 21:12:24 GMT",
"version": "v2"
}
] | 2021-12-09 | [
[
"Koot",
"Raivo",
""
],
[
"Hennerbichler",
"Markus",
""
],
[
"Lu",
"Haiping",
""
]
] | In video action recognition, transformers consistently reach state-of-the-art accuracy. However, many models are too heavyweight for the average researcher with limited hardware resources. In this work, we explore the limitations of video transformers for lightweight action recognition. We benchmark 13 video transforme... |
1502.02840 | Pablo Rodriguez-Mier | Pablo Rodriguez-Mier, Carlos Pedrinaci, Manuel Lama, Manuel Mucientes | An Integrated Semantic Web Service Discovery and Composition Framework | Accepted to appear in IEEE Transactions on Services Computing 2015 | null | 10.1109/TSC.2015.2402679 | null | cs.AI cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we present a theoretical analysis of graph-based service
composition in terms of its dependency with service discovery. Driven by this
analysis we define a composition framework by means of integration with
fine-grained I/O service discovery that enables the generation of a graph-based
composition which... | [
{
"created": "Tue, 10 Feb 2015 10:25:33 GMT",
"version": "v1"
}
] | 2015-02-11 | [
[
"Rodriguez-Mier",
"Pablo",
""
],
[
"Pedrinaci",
"Carlos",
""
],
[
"Lama",
"Manuel",
""
],
[
"Mucientes",
"Manuel",
""
]
] | In this paper we present a theoretical analysis of graph-based service composition in terms of its dependency with service discovery. Driven by this analysis we define a composition framework by means of integration with fine-grained I/O service discovery that enables the generation of a graph-based composition which c... |
2304.06566 | Filip Sroubek | Tomas Kerepecky, Filip Sroubek, Adam Novozamsky, Jan Flusser | NeRD: Neural field-based Demosaicking | 5 pages, 4 figures, 1 table | null | null | null | cs.CV eess.IV | http://creativecommons.org/licenses/by/4.0/ | We introduce NeRD, a new demosaicking method for generating full-color images
from Bayer patterns. Our approach leverages advancements in neural fields to
perform demosaicking by representing an image as a coordinate-based neural
network with sine activation functions. The inputs to the network are spatial
coordinate... | [
{
"created": "Thu, 13 Apr 2023 14:25:05 GMT",
"version": "v1"
}
] | 2023-04-14 | [
[
"Kerepecky",
"Tomas",
""
],
[
"Sroubek",
"Filip",
""
],
[
"Novozamsky",
"Adam",
""
],
[
"Flusser",
"Jan",
""
]
] | We introduce NeRD, a new demosaicking method for generating full-color images from Bayer patterns. Our approach leverages advancements in neural fields to perform demosaicking by representing an image as a coordinate-based neural network with sine activation functions. The inputs to the network are spatial coordinates ... |
2401.07154 | Cheng Wang | Cheng Wang, Akshay Kakkar, Christopher Redino, Abdul Rahman, Ajinsyam
S, Ryan Clark, Daniel Radke, Tyler Cody, Lanxiao Huang, Edward Bowen | Discovering Command and Control Channels Using Reinforcement Learning | SoutheastCon 2023. IEEE, 2023 | null | 10.1109/SoutheastCon51012.2023.10115173 | null | cs.CR cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Command and control (C2) paths for issuing commands to malware are sometimes
the only indicators of its existence within networks. Identifying potential C2
channels is often a manually driven process that involves a deep understanding
of cyber tradecraft. Efforts to improve discovery of these channels through
using a... | [
{
"created": "Sat, 13 Jan 2024 20:03:11 GMT",
"version": "v1"
}
] | 2024-01-17 | [
[
"Wang",
"Cheng",
""
],
[
"Kakkar",
"Akshay",
""
],
[
"Redino",
"Christopher",
""
],
[
"Rahman",
"Abdul",
""
],
[
"S",
"Ajinsyam",
""
],
[
"Clark",
"Ryan",
""
],
[
"Radke",
"Daniel",
""
],
[
"Cody",
... | Command and control (C2) paths for issuing commands to malware are sometimes the only indicators of its existence within networks. Identifying potential C2 channels is often a manually driven process that involves a deep understanding of cyber tradecraft. Efforts to improve discovery of these channels through using a r... |
1108.5466 | Nabendu Chaki Dr. | Supriya Chakrabarty and Nabendu Chaki | Quality Evaluation of Conceptual Level Object Multidimensional Data
Model | 14 pages - accepted in June 2011 for publication in the International
Journal of Computer Science & Information Technology (ISSN: 0975-3826) | null | null | null | cs.OH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The advancement of technology facilitates explosive growth of mobile usage in
the last decade. Numerous applications have been developed to support its
usage. However, gap in technology exists in obtaining correct and trusted
values for evaluation indexes of the precise amount of usage. The claims of
loss in revenue ... | [
{
"created": "Sat, 27 Aug 2011 17:37:50 GMT",
"version": "v1"
}
] | 2011-08-30 | [
[
"Chakrabarty",
"Supriya",
""
],
[
"Chaki",
"Nabendu",
""
]
] | The advancement of technology facilitates explosive growth of mobile usage in the last decade. Numerous applications have been developed to support its usage. However, gap in technology exists in obtaining correct and trusted values for evaluation indexes of the precise amount of usage. The claims of loss in revenue by... |
2202.06281 | Piotr Koniusz | Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King | Graph-adaptive Rectified Linear Unit for Graph Neural Networks | TheWebConf (WWW), 2022 | null | 10.1145/3485447.3512159 | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph Neural Networks (GNNs) have achieved remarkable success by extending
traditional convolution to learning on non-Euclidean data. The key to the GNNs
is adopting the neural message-passing paradigm with two stages: aggregation
and update. The current design of GNNs considers the topology information in
the aggreg... | [
{
"created": "Sun, 13 Feb 2022 10:54:59 GMT",
"version": "v1"
}
] | 2022-02-15 | [
[
"Zhang",
"Yifei",
""
],
[
"Zhu",
"Hao",
""
],
[
"Meng",
"Ziqiao",
""
],
[
"Koniusz",
"Piotr",
""
],
[
"King",
"Irwin",
""
]
] | Graph Neural Networks (GNNs) have achieved remarkable success by extending traditional convolution to learning on non-Euclidean data. The key to the GNNs is adopting the neural message-passing paradigm with two stages: aggregation and update. The current design of GNNs considers the topology information in the aggregat... |
1506.04047 | Seyed Rasoul Etesami | Seyed Rasoul Etesami, Tamer Basar | Approximation Algorithm for the Binary-Preference Capacitated Selfish
Replication Game and a Tight Bound on its Price of Anarchy | null | null | null | null | cs.GT cs.DM cs.MA math.CO math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the capacitated selfish replication (CSR) game with binary
preferences, over general undirected networks. We first show that such games
have an associated ordinary potential function, and hence always admit a
pure-strategy Nash equilibrium (NE). Further, when the minimum degree of the
network and the numb... | [
{
"created": "Fri, 12 Jun 2015 15:43:38 GMT",
"version": "v1"
},
{
"created": "Fri, 11 Mar 2016 05:55:02 GMT",
"version": "v2"
}
] | 2016-03-14 | [
[
"Etesami",
"Seyed Rasoul",
""
],
[
"Basar",
"Tamer",
""
]
] | We consider the capacitated selfish replication (CSR) game with binary preferences, over general undirected networks. We first show that such games have an associated ordinary potential function, and hence always admit a pure-strategy Nash equilibrium (NE). Further, when the minimum degree of the network and the number... |
2210.15764 | Noam Levi | Noam Levi, Itay M. Bloch, Marat Freytsis, Tomer Volansky | Noise Injection Node Regularization for Robust Learning | 16 pages, 9 figures | Proceedings of the International Conference on Learning
Representations (ICLR), 2023 | null | null | cs.LG cond-mat.dis-nn cond-mat.stat-mech cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce Noise Injection Node Regularization (NINR), a method of
injecting structured noise into Deep Neural Networks (DNN) during the training
stage, resulting in an emergent regularizing effect. We present theoretical and
empirical evidence for substantial improvement in robustness against various
test data per... | [
{
"created": "Thu, 27 Oct 2022 20:51:15 GMT",
"version": "v1"
}
] | 2023-05-03 | [
[
"Levi",
"Noam",
""
],
[
"Bloch",
"Itay M.",
""
],
[
"Freytsis",
"Marat",
""
],
[
"Volansky",
"Tomer",
""
]
] | We introduce Noise Injection Node Regularization (NINR), a method of injecting structured noise into Deep Neural Networks (DNN) during the training stage, resulting in an emergent regularizing effect. We present theoretical and empirical evidence for substantial improvement in robustness against various test data pertu... |
2005.05086 | Daniel Tang | Daniel Tang | Decentralised, privacy-preserving Bayesian inference for mobile phone
contact tracing | null | null | null | null | cs.CY cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many countries are currently gearing up to use smart-phone apps to perform
contact tracing as part of the effort to manage the COVID-19 pandemic and
prevent resurgences of the disease after the initial outbreak. With the
announcement of the Apple/Google partnership to introduce contact-tracing
functionality to iOS an... | [
{
"created": "Mon, 11 May 2020 13:13:36 GMT",
"version": "v1"
}
] | 2020-05-12 | [
[
"Tang",
"Daniel",
""
]
] | Many countries are currently gearing up to use smart-phone apps to perform contact tracing as part of the effort to manage the COVID-19 pandemic and prevent resurgences of the disease after the initial outbreak. With the announcement of the Apple/Google partnership to introduce contact-tracing functionality to iOS and ... |
cs/0511062 | Liping Lu | Gerd Bumiller, Liping Lu (INRIA Lorraine - LORIA), Yeqiong Song (INRIA
Lorraine - LORIA) | Analytic performance comparison of routing protocols in master-slave PLC
networks | null | null | null | null | cs.NI | null | In the wide area master-slave PLC (powerline communication) system, the
source node cannot reach the destination node without packet relay. Due to the
time-variable attenuation in the powerline, the communication distance cannot
be defined. Two kind of dynamic repeater algorithms are developed, dynamic
source routing... | [
{
"created": "Wed, 16 Nov 2005 16:24:23 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Bumiller",
"Gerd",
"",
"INRIA Lorraine - LORIA"
],
[
"Lu",
"Liping",
"",
"INRIA Lorraine - LORIA"
],
[
"Song",
"Yeqiong",
"",
"INRIA\n Lorraine - LORIA"
]
] | In the wide area master-slave PLC (powerline communication) system, the source node cannot reach the destination node without packet relay. Due to the time-variable attenuation in the powerline, the communication distance cannot be defined. Two kind of dynamic repeater algorithms are developed, dynamic source routing a... |
2107.09937 | Huimin Wu | Huimin Wu and Zhengmian Hu and Bin Gu | Fast and Scalable Adversarial Training of Kernel SVM via Doubly
Stochastic Gradients | null | null | null | null | cs.LG cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Adversarial attacks by generating examples which are almost indistinguishable
from natural examples, pose a serious threat to learning models. Defending
against adversarial attacks is a critical element for a reliable learning
system. Support vector machine (SVM) is a classical yet still important
learning algorithm ... | [
{
"created": "Wed, 21 Jul 2021 08:15:32 GMT",
"version": "v1"
}
] | 2021-07-22 | [
[
"Wu",
"Huimin",
""
],
[
"Hu",
"Zhengmian",
""
],
[
"Gu",
"Bin",
""
]
] | Adversarial attacks by generating examples which are almost indistinguishable from natural examples, pose a serious threat to learning models. Defending against adversarial attacks is a critical element for a reliable learning system. Support vector machine (SVM) is a classical yet still important learning algorithm ev... |
2311.09613 | Yuling Gu | Yuling Gu, Oyvind Tafjord, Peter Clark | Digital Socrates: Evaluating LLMs through Explanation Critiques | ACL 2024 | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | While LLMs can provide reasoned explanations along with their answers, the
nature and quality of those explanations are still poorly understood. In
response, our goal is to define a detailed way of characterizing the
explanation capabilities of modern models and to create a nuanced,
interpretable explanation evaluati... | [
{
"created": "Thu, 16 Nov 2023 06:51:46 GMT",
"version": "v1"
},
{
"created": "Fri, 16 Feb 2024 08:49:07 GMT",
"version": "v2"
},
{
"created": "Sun, 11 Aug 2024 05:46:15 GMT",
"version": "v3"
}
] | 2024-08-13 | [
[
"Gu",
"Yuling",
""
],
[
"Tafjord",
"Oyvind",
""
],
[
"Clark",
"Peter",
""
]
] | While LLMs can provide reasoned explanations along with their answers, the nature and quality of those explanations are still poorly understood. In response, our goal is to define a detailed way of characterizing the explanation capabilities of modern models and to create a nuanced, interpretable explanation evaluation... |
2407.07038 | Ruiran Su | Ruiran Su, Janet B. Pierrehumbert | Decoding Climate Disagreement: A Graph Neural Network-Based Approach to
Understanding Social Media Dynamics | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | This work introduces the ClimateSent-GAT Model, an innovative method that
integrates Graph Attention Networks (GATs) with techniques from natural
language processing to accurately identify and predict disagreements within
Reddit comment-reply pairs. Our model classifies disagreements into three
categories: agree, dis... | [
{
"created": "Tue, 9 Jul 2024 17:00:39 GMT",
"version": "v1"
}
] | 2024-07-10 | [
[
"Su",
"Ruiran",
""
],
[
"Pierrehumbert",
"Janet B.",
""
]
] | This work introduces the ClimateSent-GAT Model, an innovative method that integrates Graph Attention Networks (GATs) with techniques from natural language processing to accurately identify and predict disagreements within Reddit comment-reply pairs. Our model classifies disagreements into three categories: agree, disag... |
1607.07472 | Liang He | Liang He and Jia Pan and Dinesh Manocha | Efficient Multi-Agent Global Navigation Using Interpolating Bridges | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a novel approach for collision-free global navigation for
continuous-time multi-agent systems with general linear dynamics. Our approach
is general and can be used to perform collision-free navigation in 2D and 3D
workspaces with narrow passages and crowded regions. As part of
pre-computation, we compute m... | [
{
"created": "Mon, 25 Jul 2016 20:50:47 GMT",
"version": "v1"
}
] | 2016-10-03 | [
[
"He",
"Liang",
""
],
[
"Pan",
"Jia",
""
],
[
"Manocha",
"Dinesh",
""
]
] | We present a novel approach for collision-free global navigation for continuous-time multi-agent systems with general linear dynamics. Our approach is general and can be used to perform collision-free navigation in 2D and 3D workspaces with narrow passages and crowded regions. As part of pre-computation, we compute mul... |
2211.02533 | Wenting Ye | Wenting Ye, Hongfei Yang, Shuai Zhao, Haoyang Fang, Xingjian Shi,
Naveen Neppalli | A Transformer-Based Substitute Recommendation Model Incorporating Weakly
Supervised Customer Behavior Data | 6 pages, 3 figures, 5 tables, accepted in 2023 SIGIR Industry track
(SIGIR Symposium on IR in Practice, SIRIP) | null | null | null | cs.IR cs.AI cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The substitute-based recommendation is widely used in E-commerce to provide
better alternatives to customers. However, existing research typically uses the
customer behavior signals like co-view and view-but-purchase-another to capture
the substitute relationship. Despite its intuitive soundness, we find that such
an... | [
{
"created": "Fri, 4 Nov 2022 15:57:19 GMT",
"version": "v1"
},
{
"created": "Sat, 8 Apr 2023 15:27:17 GMT",
"version": "v2"
}
] | 2023-04-11 | [
[
"Ye",
"Wenting",
""
],
[
"Yang",
"Hongfei",
""
],
[
"Zhao",
"Shuai",
""
],
[
"Fang",
"Haoyang",
""
],
[
"Shi",
"Xingjian",
""
],
[
"Neppalli",
"Naveen",
""
]
] | The substitute-based recommendation is widely used in E-commerce to provide better alternatives to customers. However, existing research typically uses the customer behavior signals like co-view and view-but-purchase-another to capture the substitute relationship. Despite its intuitive soundness, we find that such an a... |
2301.03282 | Jie Lou | Jie Lou, Yaojie Lu, Dai Dai, Wei Jia, Hongyu Lin, Xianpei Han, Le Sun,
Hua Wu | Universal Information Extraction as Unified Semantic Matching | accepted by AAAI2023 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | The challenge of information extraction (IE) lies in the diversity of label
schemas and the heterogeneity of structures. Traditional methods require
task-specific model design and rely heavily on expensive supervision, making
them difficult to generalize to new schemas. In this paper, we decouple IE into
two basic ab... | [
{
"created": "Mon, 9 Jan 2023 11:51:31 GMT",
"version": "v1"
}
] | 2023-01-10 | [
[
"Lou",
"Jie",
""
],
[
"Lu",
"Yaojie",
""
],
[
"Dai",
"Dai",
""
],
[
"Jia",
"Wei",
""
],
[
"Lin",
"Hongyu",
""
],
[
"Han",
"Xianpei",
""
],
[
"Sun",
"Le",
""
],
[
"Wu",
"Hua",
""
]
] | The challenge of information extraction (IE) lies in the diversity of label schemas and the heterogeneity of structures. Traditional methods require task-specific model design and rely heavily on expensive supervision, making them difficult to generalize to new schemas. In this paper, we decouple IE into two basic abil... |
2310.15080 | Ji Liu | Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S.
Sheng, Huaiyu Dai, Dejing Dou | Federated Learning of Large Language Models with Parameter-Efficient
Prompt Tuning and Adaptive Optimization | 18 pages, accepted by EMNLP 2023 | null | null | null | cs.LG cs.CL cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Federated learning (FL) is a promising paradigm to enable collaborative model
training with decentralized data. However, the training process of Large
Language Models (LLMs) generally incurs the update of significant parameters,
which limits the applicability of FL techniques to tackle the LLMs in real
scenarios. Pro... | [
{
"created": "Mon, 23 Oct 2023 16:37:59 GMT",
"version": "v1"
},
{
"created": "Sun, 29 Oct 2023 07:17:45 GMT",
"version": "v2"
},
{
"created": "Sun, 11 Feb 2024 11:59:52 GMT",
"version": "v3"
}
] | 2024-02-13 | [
[
"Che",
"Tianshi",
""
],
[
"Liu",
"Ji",
""
],
[
"Zhou",
"Yang",
""
],
[
"Ren",
"Jiaxiang",
""
],
[
"Zhou",
"Jiwen",
""
],
[
"Sheng",
"Victor S.",
""
],
[
"Dai",
"Huaiyu",
""
],
[
"Dou",
"Dejing",... | Federated learning (FL) is a promising paradigm to enable collaborative model training with decentralized data. However, the training process of Large Language Models (LLMs) generally incurs the update of significant parameters, which limits the applicability of FL techniques to tackle the LLMs in real scenarios. Promp... |
2303.13518 | Relja Arandjelovi\'c | Relja Arandjelovi\'c, Alex Andonian, Arthur Mensch, Olivier J.
H\'enaff, Jean-Baptiste Alayrac, Andrew Zisserman | Three ways to improve feature alignment for open vocabulary detection | null | null | null | null | cs.CV cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | The core problem in zero-shot open vocabulary detection is how to align
visual and text features, so that the detector performs well on unseen classes.
Previous approaches train the feature pyramid and detection head from scratch,
which breaks the vision-text feature alignment established during pretraining,
and stru... | [
{
"created": "Thu, 23 Mar 2023 17:59:53 GMT",
"version": "v1"
}
] | 2023-03-24 | [
[
"Arandjelović",
"Relja",
""
],
[
"Andonian",
"Alex",
""
],
[
"Mensch",
"Arthur",
""
],
[
"Hénaff",
"Olivier J.",
""
],
[
"Alayrac",
"Jean-Baptiste",
""
],
[
"Zisserman",
"Andrew",
""
]
] | The core problem in zero-shot open vocabulary detection is how to align visual and text features, so that the detector performs well on unseen classes. Previous approaches train the feature pyramid and detection head from scratch, which breaks the vision-text feature alignment established during pretraining, and strugg... |
1607.08421 | Anita Sellent | Anita Sellent, Carsten Rother and Stefan Roth | Stereo Video Deblurring | Accepted to the 14th European Conference on Computer Vision (ECCV
2016). Includes supplemental material | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Videos acquired in low-light conditions often exhibit motion blur, which
depends on the motion of the objects relative to the camera. This is not only
visually unpleasing, but can hamper further processing. With this paper we are
the first to show how the availability of stereo video can aid the challenging
video deb... | [
{
"created": "Thu, 28 Jul 2016 12:13:10 GMT",
"version": "v1"
}
] | 2016-07-29 | [
[
"Sellent",
"Anita",
""
],
[
"Rother",
"Carsten",
""
],
[
"Roth",
"Stefan",
""
]
] | Videos acquired in low-light conditions often exhibit motion blur, which depends on the motion of the objects relative to the camera. This is not only visually unpleasing, but can hamper further processing. With this paper we are the first to show how the availability of stereo video can aid the challenging video deblu... |
1901.00101 | Jinwook Huh | Jinwook Huh, Omur Arslan, Daniel D. Lee | Probabilistically Safe Corridors to Guide Sampling-Based Motion Planning | 10 pages | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we introduce a new probabilistically safe local steering
primitive for sampling-based motion planning in complex high-dimensional
configuration spaces. Our local steering procedure is based on a new notion of
a convex probabilistically safe corridor that is constructed around a
configuration using tang... | [
{
"created": "Tue, 1 Jan 2019 05:59:19 GMT",
"version": "v1"
}
] | 2019-01-03 | [
[
"Huh",
"Jinwook",
""
],
[
"Arslan",
"Omur",
""
],
[
"Lee",
"Daniel D.",
""
]
] | In this paper, we introduce a new probabilistically safe local steering primitive for sampling-based motion planning in complex high-dimensional configuration spaces. Our local steering procedure is based on a new notion of a convex probabilistically safe corridor that is constructed around a configuration using tangen... |
2407.00131 | Shuang Wang | Xian Wu, Qingchuan Tao and Shuang Wang | RepAct: The Re-parameterizable Adaptive Activation Function | null | null | null | null | cs.LG cs.AI cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Addressing the imperative need for efficient artificial intelligence in IoT
and edge computing, this study presents RepAct, a re-parameterizable adaptive
activation function tailored for optimizing lightweight neural networks within
the computational limitations of edge devices. By employing a multi-branch
structure ... | [
{
"created": "Fri, 28 Jun 2024 08:25:45 GMT",
"version": "v1"
}
] | 2024-07-02 | [
[
"Wu",
"Xian",
""
],
[
"Tao",
"Qingchuan",
""
],
[
"Wang",
"Shuang",
""
]
] | Addressing the imperative need for efficient artificial intelligence in IoT and edge computing, this study presents RepAct, a re-parameterizable adaptive activation function tailored for optimizing lightweight neural networks within the computational limitations of edge devices. By employing a multi-branch structure wi... |
2205.14077 | Daniel Reynolds | Daniel R. Reynolds and David J. Gardner and Carol S. Woodward and
Rujeko Chinomona | ARKODE: a flexible IVP solver infrastructure for one-step methods | null | ACM Transactions on Mathematical Software, Volume 49, Issue 2,
June 2023, Article No.: 19 | 10.1145/3594632 | null | cs.MS cs.NA math.NA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We describe the ARKODE library of one-step time integration methods for
ordinary differential equation (ODE) initial-value problems (IVPs). In addition
to providing standard explicit and diagonally implicit Runge--Kutta methods,
ARKODE also supports one-step methods designed to treat additive splittings of
the IVP, i... | [
{
"created": "Fri, 27 May 2022 16:16:19 GMT",
"version": "v1"
},
{
"created": "Wed, 21 Dec 2022 21:50:25 GMT",
"version": "v2"
}
] | 2024-03-19 | [
[
"Reynolds",
"Daniel R.",
""
],
[
"Gardner",
"David J.",
""
],
[
"Woodward",
"Carol S.",
""
],
[
"Chinomona",
"Rujeko",
""
]
] | We describe the ARKODE library of one-step time integration methods for ordinary differential equation (ODE) initial-value problems (IVPs). In addition to providing standard explicit and diagonally implicit Runge--Kutta methods, ARKODE also supports one-step methods designed to treat additive splittings of the IVP, inc... |
1610.03525 | Yann Thorimbert | Yann Thorimbert, Bastien Chopard | Polynomial methods for Procedural Terrain Generation | 27 pages, 15 figures | null | null | null | cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A new method is presented, allowing for the generation of 3D terrain and
texture from coherent noise. The method is significantly faster than prevailing
fractal brownian motion approaches, while producing results of equivalent
quality. The algorithm is derived through a systematic approach that
generalizes to an arbi... | [
{
"created": "Tue, 11 Oct 2016 20:51:48 GMT",
"version": "v1"
},
{
"created": "Wed, 2 Nov 2016 13:47:38 GMT",
"version": "v2"
},
{
"created": "Sun, 7 Oct 2018 22:39:53 GMT",
"version": "v3"
},
{
"created": "Wed, 5 Dec 2018 16:32:14 GMT",
"version": "v4"
}
] | 2018-12-06 | [
[
"Thorimbert",
"Yann",
""
],
[
"Chopard",
"Bastien",
""
]
] | A new method is presented, allowing for the generation of 3D terrain and texture from coherent noise. The method is significantly faster than prevailing fractal brownian motion approaches, while producing results of equivalent quality. The algorithm is derived through a systematic approach that generalizes to an arbitr... |
2307.11194 | Lindsey Kuper | Patrick Redmond, Lindsey Kuper | An Exceptional Actor System (Functional Pearl) | To appear at Haskell Symposium 2023 | null | 10.1145/3609026.3609728 | null | cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Glasgow Haskell Compiler is known for its feature-laden runtime system
(RTS), which includes lightweight threads, asynchronous exceptions, and a slew
of other features. Their combination is powerful enough that a programmer may
complete the same task in many different ways -- some more advisable than
others.
We... | [
{
"created": "Thu, 20 Jul 2023 19:11:54 GMT",
"version": "v1"
}
] | 2023-07-24 | [
[
"Redmond",
"Patrick",
""
],
[
"Kuper",
"Lindsey",
""
]
] | The Glasgow Haskell Compiler is known for its feature-laden runtime system (RTS), which includes lightweight threads, asynchronous exceptions, and a slew of other features. Their combination is powerful enough that a programmer may complete the same task in many different ways -- some more advisable than others. We pre... |
1502.05696 | Nihar Shah | Nihar B. Shah, Dengyong Zhou, Yuval Peres | Approval Voting and Incentives in Crowdsourcing | null | null | null | null | cs.GT cs.AI cs.LG cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The growing need for labeled training data has made crowdsourcing an
important part of machine learning. The quality of crowdsourced labels is,
however, adversely affected by three factors: (1) the workers are not experts;
(2) the incentives of the workers are not aligned with those of the requesters;
and (3) the int... | [
{
"created": "Thu, 19 Feb 2015 20:42:55 GMT",
"version": "v1"
},
{
"created": "Tue, 19 May 2015 09:12:50 GMT",
"version": "v2"
},
{
"created": "Mon, 7 Sep 2015 05:21:06 GMT",
"version": "v3"
}
] | 2015-09-08 | [
[
"Shah",
"Nihar B.",
""
],
[
"Zhou",
"Dengyong",
""
],
[
"Peres",
"Yuval",
""
]
] | The growing need for labeled training data has made crowdsourcing an important part of machine learning. The quality of crowdsourced labels is, however, adversely affected by three factors: (1) the workers are not experts; (2) the incentives of the workers are not aligned with those of the requesters; and (3) the inter... |
2407.05064 | Evgenii Vinogradov A | Dmitrii Belimov and Evgenii Vinogradov | Reverse Engineered MiniFS File System | The 19th International Conference on Availability, Reliability and
Security (ARES 2024), July 30-August 2, 2024, Vienna, Austria | null | 10.1145/3664476.3664511 | null | cs.CR cs.NI | http://creativecommons.org/licenses/by/4.0/ | In an era where digital connectivity is increasingly foundational to daily
life, the security of Wi-Fi Access Points (APs) is a critical concern. This
paper addresses the vulnerabilities inherent in Wi-Fi APs, with a particular
focus on those using proprietary file systems like MiniFS found in TP-Link's
AC1900 WiFi r... | [
{
"created": "Sat, 6 Jul 2024 12:49:37 GMT",
"version": "v1"
}
] | 2024-07-09 | [
[
"Belimov",
"Dmitrii",
""
],
[
"Vinogradov",
"Evgenii",
""
]
] | In an era where digital connectivity is increasingly foundational to daily life, the security of Wi-Fi Access Points (APs) is a critical concern. This paper addresses the vulnerabilities inherent in Wi-Fi APs, with a particular focus on those using proprietary file systems like MiniFS found in TP-Link's AC1900 WiFi rou... |
2307.02447 | Timon B\"ohler | Timon B\"ohler, David Richter, Mira Mezini | Using Rewrite Strategies for Efficient Functional Automatic
Differentiation | to be published in FTfJP 2023 | null | 10.1145/3605156.3606456 | null | cs.PL | http://creativecommons.org/licenses/by/4.0/ | Automatic Differentiation (AD) has become a dominant technique in ML. AD
frameworks have first been implemented for imperative languages using tapes.
Meanwhile, functional implementations of AD have been developed, often based on
dual numbers, which are close to the formal specification of differentiation
and hence e... | [
{
"created": "Wed, 5 Jul 2023 17:17:16 GMT",
"version": "v1"
},
{
"created": "Fri, 7 Jul 2023 09:29:25 GMT",
"version": "v2"
}
] | 2023-07-10 | [
[
"Böhler",
"Timon",
""
],
[
"Richter",
"David",
""
],
[
"Mezini",
"Mira",
""
]
] | Automatic Differentiation (AD) has become a dominant technique in ML. AD frameworks have first been implemented for imperative languages using tapes. Meanwhile, functional implementations of AD have been developed, often based on dual numbers, which are close to the formal specification of differentiation and hence eas... |
1401.1152 | Radek Stefan | Michal Bene\v{s}, Radek \v{S}tefan | Hygro-thermo-mechanical analysis of spalling in concrete walls at high
temperatures as a moving boundary problem | null | null | 10.1016/j.ijheatmasstransfer.2015.01.050 | null | cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A mathematical model allowing coupled hygro-thermo-mechanical analysis of
spalling in concrete walls at high temperatures by means of the moving boundary
problem is presented. A simplified mechanical approach to account for effects
of thermal stresses and pore pressure build-up on spalling is incorporated into
the mo... | [
{
"created": "Mon, 6 Jan 2014 17:42:41 GMT",
"version": "v1"
},
{
"created": "Tue, 7 Jan 2014 08:46:25 GMT",
"version": "v2"
},
{
"created": "Fri, 9 Jan 2015 14:24:19 GMT",
"version": "v3"
}
] | 2015-02-13 | [
[
"Beneš",
"Michal",
""
],
[
"Štefan",
"Radek",
""
]
] | A mathematical model allowing coupled hygro-thermo-mechanical analysis of spalling in concrete walls at high temperatures by means of the moving boundary problem is presented. A simplified mechanical approach to account for effects of thermal stresses and pore pressure build-up on spalling is incorporated into the mode... |
1912.07018 | Adarsh Kappiyath | Silpa Vadakkeeveetil Sreelatha, Adarsh Kappiyath, Sumitra S | Disentanglement based Active Learning | Published in International Joint Conference on Neural Networks
(IJCNN), 2021 | 2021 International Joint Conference on Neural Networks (IJCNN),
2021, pp. 1-8 | 10.1109/IJCNN52387.2021.9534033 | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose Disentanglement based Active Learning (DAL), a new active learning
technique based on self-supervision which leverages the concept of
disentanglement. Instead of requesting labels from human oracle, our method
automatically labels the majority of the datapoints, thus drastically reducing
the human labeling... | [
{
"created": "Sun, 15 Dec 2019 10:48:06 GMT",
"version": "v1"
},
{
"created": "Sat, 25 Sep 2021 13:30:29 GMT",
"version": "v2"
}
] | 2021-09-28 | [
[
"Sreelatha",
"Silpa Vadakkeeveetil",
""
],
[
"Kappiyath",
"Adarsh",
""
],
[
"S",
"Sumitra",
""
]
] | We propose Disentanglement based Active Learning (DAL), a new active learning technique based on self-supervision which leverages the concept of disentanglement. Instead of requesting labels from human oracle, our method automatically labels the majority of the datapoints, thus drastically reducing the human labeling b... |
1707.04202 | Jiancao Hou | Jiancao Hou, Sandeep Narayanan, Yi Ma, and Mohammad Shikh-Bahaei | Multi-Antenna Assisted Virtual Full-Duplex Relaying with
Reliability-Aware Iterative Decoding | 6 pages, 4 figures, conference paper has been submitted | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, a multi-antenna assisted virtual full-duplex (FD) relaying
with reliability-aware iterative decoding at destination node is proposed to
improve system spectral efficiency and reliability. This scheme enables two
half-duplex relay nodes, mimicked as FD relaying, to alternatively serve as
transmitter and... | [
{
"created": "Thu, 13 Jul 2017 16:23:09 GMT",
"version": "v1"
},
{
"created": "Wed, 18 Oct 2017 16:20:03 GMT",
"version": "v2"
}
] | 2017-10-19 | [
[
"Hou",
"Jiancao",
""
],
[
"Narayanan",
"Sandeep",
""
],
[
"Ma",
"Yi",
""
],
[
"Shikh-Bahaei",
"Mohammad",
""
]
] | In this paper, a multi-antenna assisted virtual full-duplex (FD) relaying with reliability-aware iterative decoding at destination node is proposed to improve system spectral efficiency and reliability. This scheme enables two half-duplex relay nodes, mimicked as FD relaying, to alternatively serve as transmitter and r... |
2107.01835 | Juliette Achddou | Juliette Achddou (DI-ENS, VALDA ), Olivier Capp\'e (VALDA, DI-ENS),
Aur\'elien Garivier (UMPA-ENSL) | Fast Rate Learning in Stochastic First Price Bidding | null | ACML 2021 - Proceedings of Machine Learning Research 157, 2021,
Nov 2021, SIngapore, Singapore | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | First-price auctions have largely replaced traditional bidding approaches
based on Vickrey auctions in programmatic advertising. As far as learning is
concerned, first-price auctions are more challenging because the optimal
bidding strategy does not only depend on the value of the item but also
requires some knowledg... | [
{
"created": "Mon, 5 Jul 2021 07:48:52 GMT",
"version": "v1"
},
{
"created": "Mon, 22 Nov 2021 15:24:19 GMT",
"version": "v2"
}
] | 2021-11-23 | [
[
"Achddou",
"Juliette",
"",
"DI-ENS, VALDA"
],
[
"Cappé",
"Olivier",
"",
"VALDA, DI-ENS"
],
[
"Garivier",
"Aurélien",
"",
"UMPA-ENSL"
]
] | First-price auctions have largely replaced traditional bidding approaches based on Vickrey auctions in programmatic advertising. As far as learning is concerned, first-price auctions are more challenging because the optimal bidding strategy does not only depend on the value of the item but also requires some knowledge ... |
2407.09506 | Parag Jain | Parag Jain, Mirella Lapata | Integrating Large Language Models with Graph-based Reasoning for
Conversational Question Answering | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | We focus on a conversational question answering task which combines the
challenges of understanding questions in context and reasoning over evidence
gathered from heterogeneous sources like text, knowledge graphs, tables, and
infoboxes. Our method utilizes a graph structured representation to aggregate
information ab... | [
{
"created": "Fri, 14 Jun 2024 13:28:03 GMT",
"version": "v1"
}
] | 2024-07-16 | [
[
"Jain",
"Parag",
""
],
[
"Lapata",
"Mirella",
""
]
] | We focus on a conversational question answering task which combines the challenges of understanding questions in context and reasoning over evidence gathered from heterogeneous sources like text, knowledge graphs, tables, and infoboxes. Our method utilizes a graph structured representation to aggregate information abou... |
2002.03258 | Dingwen Tao | Cody Rivera, Jieyang Chen, Nan Xiong, Shuaiwen Leon Song, and Dingwen
Tao | TSM2X: High-Performance Tall-and-Skinny Matrix-Matrix Multiplication on
GPUs | 17 pages, 14 figures, published in JPDC | null | 10.1016/j.jpdc.2021.02.013 | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Linear algebra operations have been widely used in big data analytics and
scientific computations. Many works have been done on optimizing linear algebra
operations on GPUs with regular-shaped input. However, few works focus on fully
utilizing GPU resources when the input is not regular-shaped. Current
optimizations ... | [
{
"created": "Sun, 9 Feb 2020 00:53:35 GMT",
"version": "v1"
},
{
"created": "Wed, 12 Feb 2020 05:07:00 GMT",
"version": "v2"
},
{
"created": "Mon, 27 Jul 2020 17:09:09 GMT",
"version": "v3"
},
{
"created": "Tue, 28 Jul 2020 04:07:49 GMT",
"version": "v4"
},
{
"cr... | 2021-02-19 | [
[
"Rivera",
"Cody",
""
],
[
"Chen",
"Jieyang",
""
],
[
"Xiong",
"Nan",
""
],
[
"Song",
"Shuaiwen Leon",
""
],
[
"Tao",
"Dingwen",
""
]
] | Linear algebra operations have been widely used in big data analytics and scientific computations. Many works have been done on optimizing linear algebra operations on GPUs with regular-shaped input. However, few works focus on fully utilizing GPU resources when the input is not regular-shaped. Current optimizations do... |
2401.06550 | Chuanji Shi | Chuanji Shi, Yingying Zhang, Jiaotuan Wang, Xin Guo and Qiqi Zhu | Multimodal Urban Areas of Interest Generation via Remote Sensing Imagery
and Geographical Prior | 9 pages, 9 figures | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Urban area-of-interest (AOI) refers to an integrated urban functional zone
with defined polygonal boundaries. The rapid development of urban commerce has
led to increasing demands for highly accurate and timely AOI data. However,
existing research primarily focuses on coarse-grained functional zones for
urban plannin... | [
{
"created": "Fri, 12 Jan 2024 12:54:30 GMT",
"version": "v1"
},
{
"created": "Wed, 31 Jan 2024 18:13:53 GMT",
"version": "v2"
},
{
"created": "Thu, 8 Feb 2024 06:23:42 GMT",
"version": "v3"
}
] | 2024-02-09 | [
[
"Shi",
"Chuanji",
""
],
[
"Zhang",
"Yingying",
""
],
[
"Wang",
"Jiaotuan",
""
],
[
"Guo",
"Xin",
""
],
[
"Zhu",
"Qiqi",
""
]
] | Urban area-of-interest (AOI) refers to an integrated urban functional zone with defined polygonal boundaries. The rapid development of urban commerce has led to increasing demands for highly accurate and timely AOI data. However, existing research primarily focuses on coarse-grained functional zones for urban planning ... |
2212.08688 | Yiming Xiao | Owen Hellum, Marta Kersten-Oertel, and Yiming Xiao | Assessment of user-interaction strategies for neurosurgical data
navigation and annotation in virtual reality | null | null | null | null | cs.HC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | While virtual-reality (VR) has shown great promise in radiological tasks,
effective user-interaction strategies that can improve efficiency and
ergonomics are still under-explored and systematic evaluations of VR
interaction techniques in the context of complex anatomical models are rare.
Therefore, our study aims to... | [
{
"created": "Fri, 16 Dec 2022 19:36:04 GMT",
"version": "v1"
}
] | 2022-12-20 | [
[
"Hellum",
"Owen",
""
],
[
"Kersten-Oertel",
"Marta",
""
],
[
"Xiao",
"Yiming",
""
]
] | While virtual-reality (VR) has shown great promise in radiological tasks, effective user-interaction strategies that can improve efficiency and ergonomics are still under-explored and systematic evaluations of VR interaction techniques in the context of complex anatomical models are rare. Therefore, our study aims to i... |
2302.07549 | Mila Nambiar | Milashini Nambiar and Supriyo Ghosh and Priscilla Ong and Yu En Chan
and Yong Mong Bee and Pavitra Krishnaswamy | Deep Offline Reinforcement Learning for Real-world Treatment
Optimization Applications | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | There is increasing interest in data-driven approaches for recommending
optimal treatment strategies in many chronic disease management and critical
care applications. Reinforcement learning methods are well-suited to this
sequential decision-making problem, but must be trained and evaluated
exclusively on retrospect... | [
{
"created": "Wed, 15 Feb 2023 09:30:57 GMT",
"version": "v1"
},
{
"created": "Tue, 13 Jun 2023 12:24:32 GMT",
"version": "v2"
}
] | 2023-06-14 | [
[
"Nambiar",
"Milashini",
""
],
[
"Ghosh",
"Supriyo",
""
],
[
"Ong",
"Priscilla",
""
],
[
"Chan",
"Yu En",
""
],
[
"Bee",
"Yong Mong",
""
],
[
"Krishnaswamy",
"Pavitra",
""
]
] | There is increasing interest in data-driven approaches for recommending optimal treatment strategies in many chronic disease management and critical care applications. Reinforcement learning methods are well-suited to this sequential decision-making problem, but must be trained and evaluated exclusively on retrospectiv... |
1907.02427 | Youmna Farag | Youmna Farag and Helen Yannakoudakis | Multi-Task Learning for Coherence Modeling | 11 pages, 3 figures, Accepted at ACL 2019 | THE 57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL
LINGUISTICS (ACL 2019) | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We address the task of assessing discourse coherence, an aspect of text
quality that is essential for many NLP tasks, such as summarization and
language assessment. We propose a hierarchical neural network trained in a
multi-task fashion that learns to predict a document-level coherence score (at
the network's top la... | [
{
"created": "Thu, 4 Jul 2019 14:40:22 GMT",
"version": "v1"
},
{
"created": "Thu, 30 Apr 2020 17:30:15 GMT",
"version": "v2"
}
] | 2020-05-01 | [
[
"Farag",
"Youmna",
""
],
[
"Yannakoudakis",
"Helen",
""
]
] | We address the task of assessing discourse coherence, an aspect of text quality that is essential for many NLP tasks, such as summarization and language assessment. We propose a hierarchical neural network trained in a multi-task fashion that learns to predict a document-level coherence score (at the network's top laye... |
2402.09702 | Yiyang Sun | Yiyang Sun, Zhi Chen, Vittorio Orlandi, Tong Wang, Cynthia Rudin | Sparse and Faithful Explanations Without Sparse Models | Accepted in AISTATS 2024 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Even if a model is not globally sparse, it is possible for decisions made
from that model to be accurately and faithfully described by a small number of
features. For instance, an application for a large loan might be denied to
someone because they have no credit history, which overwhelms any evidence
towards their c... | [
{
"created": "Thu, 15 Feb 2024 04:36:52 GMT",
"version": "v1"
},
{
"created": "Mon, 4 Mar 2024 17:32:32 GMT",
"version": "v2"
},
{
"created": "Sat, 9 Mar 2024 01:01:27 GMT",
"version": "v3"
}
] | 2024-03-12 | [
[
"Sun",
"Yiyang",
""
],
[
"Chen",
"Zhi",
""
],
[
"Orlandi",
"Vittorio",
""
],
[
"Wang",
"Tong",
""
],
[
"Rudin",
"Cynthia",
""
]
] | Even if a model is not globally sparse, it is possible for decisions made from that model to be accurately and faithfully described by a small number of features. For instance, an application for a large loan might be denied to someone because they have no credit history, which overwhelms any evidence towards their cre... |
2302.04068 | Lioba Heimbach | Lioba Heimbach, Eric G. Schertenleib, Roger Wattenhofer | Short Squeeze in DeFi Lending Market: Decentralization in Jeopardy? | In Proceedings of Workshop on Decentralized Finance (DeFi@FC) | null | null | null | cs.CR q-fin.RM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Anxiety levels in the Aave community spiked in November 2022 as Avi Eisenberg
performed an attack on Aave. Eisenberg attempted to short the CRV token by
using funds borrowed on the protocol to artificially deflate the value of CRV.
While the attack was ultimately unsuccessful, it left the Aave community scared
and ev... | [
{
"created": "Wed, 8 Feb 2023 14:09:38 GMT",
"version": "v1"
},
{
"created": "Wed, 21 Jun 2023 10:17:33 GMT",
"version": "v2"
}
] | 2023-06-22 | [
[
"Heimbach",
"Lioba",
""
],
[
"Schertenleib",
"Eric G.",
""
],
[
"Wattenhofer",
"Roger",
""
]
] | Anxiety levels in the Aave community spiked in November 2022 as Avi Eisenberg performed an attack on Aave. Eisenberg attempted to short the CRV token by using funds borrowed on the protocol to artificially deflate the value of CRV. While the attack was ultimately unsuccessful, it left the Aave community scared and even... |
2106.13937 | Dong In Kim | Jong Jin Park, Jong Ho Moon, Hyeon Ho Jang, and Dong In Kim | Unified Simultaneous Wireless Information and Power Transfer for IoT:
Signaling and Architecture with Deep Learning Adaptive Control | 15 pages, 15 figures | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a unified SWIPT signal and its architecture design
in order to take advantage of both single tone and multi-tone signaling by
adjusting only the power allocation ratio of a unified signal. For this, we
design a novel unified and integrated receiver architecture for the proposed
unified SWIPT... | [
{
"created": "Sat, 26 Jun 2021 03:58:22 GMT",
"version": "v1"
}
] | 2021-06-29 | [
[
"Park",
"Jong Jin",
""
],
[
"Moon",
"Jong Ho",
""
],
[
"Jang",
"Hyeon Ho",
""
],
[
"Kim",
"Dong In",
""
]
] | In this paper, we propose a unified SWIPT signal and its architecture design in order to take advantage of both single tone and multi-tone signaling by adjusting only the power allocation ratio of a unified signal. For this, we design a novel unified and integrated receiver architecture for the proposed unified SWIPT s... |
2305.00382 | Leon Moonen | Anders M{\o}lmen H{\o}st and Pierre Lison and Leon Moonen | Constructing a Knowledge Graph from Textual Descriptions of Software
Vulnerabilities in the National Vulnerability Database | Accepted for publication in the 24th Nordic Conference on
Computational Linguistics (NoDaLiDa), T\'{o}rshavn, Faroe Islands, May
22nd-24th, 2023. [v2]: added funding acknowledgments | null | null | null | cs.CR cs.AI cs.CL cs.SE | http://creativecommons.org/licenses/by/4.0/ | Knowledge graphs have shown promise for several cybersecurity tasks, such as
vulnerability assessment and threat analysis. In this work, we present a new
method for constructing a vulnerability knowledge graph from information in the
National Vulnerability Database (NVD). Our approach combines named entity
recognitio... | [
{
"created": "Sun, 30 Apr 2023 04:23:40 GMT",
"version": "v1"
},
{
"created": "Mon, 15 May 2023 07:36:11 GMT",
"version": "v2"
}
] | 2023-05-16 | [
[
"Høst",
"Anders Mølmen",
""
],
[
"Lison",
"Pierre",
""
],
[
"Moonen",
"Leon",
""
]
] | Knowledge graphs have shown promise for several cybersecurity tasks, such as vulnerability assessment and threat analysis. In this work, we present a new method for constructing a vulnerability knowledge graph from information in the National Vulnerability Database (NVD). Our approach combines named entity recognition ... |
1103.2408 | Sandeep Tata | Jun Rao (LinkedIn), Eugene J. Shekita (IBM Research), Sandeep Tata
(IBM Research) | Using Paxos to Build a Scalable, Consistent, and Highly Available
Datastore | VLDB2011 | Proceedings of the VLDB Endowment (PVLDB), Vol. 4, No. 4, pp.
243-254 (2011) | null | null | cs.DB cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Spinnaker is an experimental datastore that is designed to run on a large
cluster of commodity servers in a single datacenter. It features key-based
range partitioning, 3-way replication, and a transactional get-put API with the
option to choose either strong or timeline consistency on reads. This paper
describes Spi... | [
{
"created": "Sat, 12 Mar 2011 01:06:32 GMT",
"version": "v1"
}
] | 2011-03-15 | [
[
"Rao",
"Jun",
"",
"LinkedIn"
],
[
"Shekita",
"Eugene J.",
"",
"IBM Research"
],
[
"Tata",
"Sandeep",
"",
"IBM Research"
]
] | Spinnaker is an experimental datastore that is designed to run on a large cluster of commodity servers in a single datacenter. It features key-based range partitioning, 3-way replication, and a transactional get-put API with the option to choose either strong or timeline consistency on reads. This paper describes Spinn... |
2305.17390 | Bill Yuchen Lin | Bill Yuchen Lin, Yicheng Fu, Karina Yang, Faeze Brahman, Shiyu Huang,
Chandra Bhagavatula, Prithviraj Ammanabrolu, Yejin Choi, Xiang Ren | SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex
Interactive Tasks | Accepted to NeurIPS 2023 (spotlight). Project website:
https://swiftsage.github.io | null | null | null | cs.CL cs.AI cs.LG cs.MA cs.RO | http://creativecommons.org/licenses/by/4.0/ | We introduce SwiftSage, a novel agent framework inspired by the dual-process
theory of human cognition, designed to excel in action planning for complex
interactive reasoning tasks. SwiftSage integrates the strengths of behavior
cloning and prompting large language models (LLMs) to enhance task completion
performance... | [
{
"created": "Sat, 27 May 2023 07:04:15 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Dec 2023 10:07:01 GMT",
"version": "v2"
}
] | 2023-12-07 | [
[
"Lin",
"Bill Yuchen",
""
],
[
"Fu",
"Yicheng",
""
],
[
"Yang",
"Karina",
""
],
[
"Brahman",
"Faeze",
""
],
[
"Huang",
"Shiyu",
""
],
[
"Bhagavatula",
"Chandra",
""
],
[
"Ammanabrolu",
"Prithviraj",
""
],
... | We introduce SwiftSage, a novel agent framework inspired by the dual-process theory of human cognition, designed to excel in action planning for complex interactive reasoning tasks. SwiftSage integrates the strengths of behavior cloning and prompting large language models (LLMs) to enhance task completion performance. ... |
2204.13619 | Boxiang Lyu | Boxiang Lyu, Filip Hanzely, Mladen Kolar | Personalized Federated Learning with Multiple Known Clusters | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | We consider the problem of personalized federated learning when there are
known cluster structures within users. An intuitive approach would be to
regularize the parameters so that users in the same cluster share similar model
weights. The distances between the clusters can then be regularized to reflect
the similari... | [
{
"created": "Thu, 28 Apr 2022 16:32:29 GMT",
"version": "v1"
}
] | 2022-04-29 | [
[
"Lyu",
"Boxiang",
""
],
[
"Hanzely",
"Filip",
""
],
[
"Kolar",
"Mladen",
""
]
] | We consider the problem of personalized federated learning when there are known cluster structures within users. An intuitive approach would be to regularize the parameters so that users in the same cluster share similar model weights. The distances between the clusters can then be regularized to reflect the similarity... |
2305.02401 | Anand Sampat | Sai Chowdary Gullapally, Yibo Zhang, Nitin Kumar Mittal, Deeksha
Kartik, Sandhya Srinivasan, Kevin Rose, Daniel Shenker, Dinkar Juyal,
Harshith Padigela, Raymond Biju, Victor Minden, Chirag Maheshwari, Marc
Thibault, Zvi Goldstein, Luke Novak, Nidhi Chandra, Justin Lee, Aaditya
Prakash, Chintan Shah, John Abel,... | Synthetic DOmain-Targeted Augmentation (S-DOTA) Improves Model
Generalization in Digital Pathology | null | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Machine learning algorithms have the potential to improve patient outcomes in
digital pathology. However, generalization of these tools is currently limited
by sensitivity to variations in tissue preparation, staining procedures and
scanning equipment that lead to domain shift in digitized slides. To overcome
this li... | [
{
"created": "Wed, 3 May 2023 19:53:30 GMT",
"version": "v1"
}
] | 2023-08-02 | [
[
"Gullapally",
"Sai Chowdary",
""
],
[
"Zhang",
"Yibo",
""
],
[
"Mittal",
"Nitin Kumar",
""
],
[
"Kartik",
"Deeksha",
""
],
[
"Srinivasan",
"Sandhya",
""
],
[
"Rose",
"Kevin",
""
],
[
"Shenker",
"Daniel",
""... | Machine learning algorithms have the potential to improve patient outcomes in digital pathology. However, generalization of these tools is currently limited by sensitivity to variations in tissue preparation, staining procedures and scanning equipment that lead to domain shift in digitized slides. To overcome this limi... |
2307.13412 | Javier Fernandez-Marques | Stylianos I. Venieris, Javier Fernandez-Marques, Nicholas D. Lane | Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights
Generation | Accepted at ACM TODAES, 2023. arXiv admin note: substantial text
overlap with arXiv:2103.05600 | null | null | null | cs.LG cs.AR cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The unprecedented accuracy of convolutional neural networks (CNNs) across a
broad range of AI tasks has led to their widespread deployment in mobile and
embedded settings. In a pursuit for high-performance and energy-efficient
inference, significant research effort has been invested in the design of
FPGA-based CNN ac... | [
{
"created": "Tue, 25 Jul 2023 11:19:21 GMT",
"version": "v1"
}
] | 2023-07-26 | [
[
"Venieris",
"Stylianos I.",
""
],
[
"Fernandez-Marques",
"Javier",
""
],
[
"Lane",
"Nicholas D.",
""
]
] | The unprecedented accuracy of convolutional neural networks (CNNs) across a broad range of AI tasks has led to their widespread deployment in mobile and embedded settings. In a pursuit for high-performance and energy-efficient inference, significant research effort has been invested in the design of FPGA-based CNN acce... |
2406.17532 | Keyu Wang | Keyu Wang, Guilin Qi, Jiaqi Li, Songlin Zhai | Can Large Language Models Understand DL-Lite Ontologies? An Empirical
Study | null | null | null | null | cs.AI cs.CL cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large language models (LLMs) have shown significant achievements in solving a
wide range of tasks. Recently, LLMs' capability to store, retrieve and infer
with symbolic knowledge has drawn a great deal of attention, showing their
potential to understand structured information. However, it is not yet known
whether LLM... | [
{
"created": "Tue, 25 Jun 2024 13:16:34 GMT",
"version": "v1"
}
] | 2024-06-26 | [
[
"Wang",
"Keyu",
""
],
[
"Qi",
"Guilin",
""
],
[
"Li",
"Jiaqi",
""
],
[
"Zhai",
"Songlin",
""
]
] | Large language models (LLMs) have shown significant achievements in solving a wide range of tasks. Recently, LLMs' capability to store, retrieve and infer with symbolic knowledge has drawn a great deal of attention, showing their potential to understand structured information. However, it is not yet known whether LLMs ... |
1003.3821 | Dan Guralnik | Dan Guralnik | A Formal Approach to Modeling the Memory of a Living Organism | 33 pages, 8 figures | null | null | null | cs.AI cs.DS cs.LG q-bio.NC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider a living organism as an observer of the evolution of its
environment recording sensory information about the state space X of the
environment in real time. Sensory information is sampled and then processed on
two levels. On the biological level, the organism serves as an evaluation
mechanism of the subjec... | [
{
"created": "Fri, 19 Mar 2010 15:56:37 GMT",
"version": "v1"
}
] | 2010-03-22 | [
[
"Guralnik",
"Dan",
""
]
] | We consider a living organism as an observer of the evolution of its environment recording sensory information about the state space X of the environment in real time. Sensory information is sampled and then processed on two levels. On the biological level, the organism serves as an evaluation mechanism of the subjecti... |
2112.13734 | Enoch Tetteh | Enoch Tetteh, Joseph Viviano, Yoshua Bengio, David Krueger, Joseph
Paul Cohen | Multi-Domain Balanced Sampling Improves Out-of-Distribution
Generalization of Chest X-ray Pathology Prediction Models | MED-NEURIPS 2021 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Learning models that generalize under different distribution shifts in
medical imaging has been a long-standing research challenge. There have been
several proposals for efficient and robust visual representation learning among
vision research practitioners, especially in the sensitive and critical
biomedical domain.... | [
{
"created": "Mon, 27 Dec 2021 15:28:01 GMT",
"version": "v1"
},
{
"created": "Tue, 28 Dec 2021 02:36:40 GMT",
"version": "v2"
}
] | 2021-12-30 | [
[
"Tetteh",
"Enoch",
""
],
[
"Viviano",
"Joseph",
""
],
[
"Bengio",
"Yoshua",
""
],
[
"Krueger",
"David",
""
],
[
"Cohen",
"Joseph Paul",
""
]
] | Learning models that generalize under different distribution shifts in medical imaging has been a long-standing research challenge. There have been several proposals for efficient and robust visual representation learning among vision research practitioners, especially in the sensitive and critical biomedical domain. I... |
2104.13298 | Yixiao Ge | Yixiao Ge, Xiao Zhang, Ching Lam Choi, Ka Chun Cheung, Peipei Zhao,
Feng Zhu, Xiaogang Wang, Rui Zhao, Hongsheng Li | Self-distillation with Batch Knowledge Ensembling Improves ImageNet
Classification | Project Page: https://geyixiao.com/projects/bake | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The recent studies of knowledge distillation have discovered that ensembling
the "dark knowledge" from multiple teachers or students contributes to creating
better soft targets for training, but at the cost of significantly more
computations and/or parameters. In this work, we present BAtch Knowledge
Ensembling (BAKE... | [
{
"created": "Tue, 27 Apr 2021 16:11:45 GMT",
"version": "v1"
},
{
"created": "Sat, 20 Nov 2021 09:22:24 GMT",
"version": "v2"
}
] | 2021-11-23 | [
[
"Ge",
"Yixiao",
""
],
[
"Zhang",
"Xiao",
""
],
[
"Choi",
"Ching Lam",
""
],
[
"Cheung",
"Ka Chun",
""
],
[
"Zhao",
"Peipei",
""
],
[
"Zhu",
"Feng",
""
],
[
"Wang",
"Xiaogang",
""
],
[
"Zhao",
"R... | The recent studies of knowledge distillation have discovered that ensembling the "dark knowledge" from multiple teachers or students contributes to creating better soft targets for training, but at the cost of significantly more computations and/or parameters. In this work, we present BAtch Knowledge Ensembling (BAKE) ... |
2304.02814 | Hongwei Xu | Wei Chen and HongWei Xu and Jelo Wang | 4D Agnostic Real-Time Facial Animation Pipeline for Desktop Scenarios | 7pages, 5 figures | null | null | null | cs.GR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a high-precision real-time facial animation pipeline suitable for
animators to use on their desktops. This pipeline is about to be launched in
FACEGOOD's Avatary\footnote{https://www.avatary.com/} software, which will
accelerate animators' productivity. The pipeline differs from professional
head-mounted f... | [
{
"created": "Thu, 6 Apr 2023 01:32:58 GMT",
"version": "v1"
}
] | 2023-04-07 | [
[
"Chen",
"Wei",
""
],
[
"Xu",
"HongWei",
""
],
[
"Wang",
"Jelo",
""
]
] | We present a high-precision real-time facial animation pipeline suitable for animators to use on their desktops. This pipeline is about to be launched in FACEGOOD's Avatary\footnote{https://www.avatary.com/} software, which will accelerate animators' productivity. The pipeline differs from professional head-mounted fac... |
2006.04767 | Elena Corina Grigore | Freddy A. Boulton and Elena Corina Grigore and Eric M. Wolff | Motion Prediction using Trajectory Sets and Self-Driving Domain
Knowledge | null | null | null | null | cs.LG cs.CV cs.RO stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Predicting the future motion of vehicles has been studied using various
techniques, including stochastic policies, generative models, and regression.
Recent work has shown that classification over a trajectory set, which
approximates possible motions, achieves state-of-the-art performance and avoids
issues like mode ... | [
{
"created": "Mon, 8 Jun 2020 17:37:15 GMT",
"version": "v1"
},
{
"created": "Wed, 13 Jan 2021 20:41:54 GMT",
"version": "v2"
}
] | 2021-01-15 | [
[
"Boulton",
"Freddy A.",
""
],
[
"Grigore",
"Elena Corina",
""
],
[
"Wolff",
"Eric M.",
""
]
] | Predicting the future motion of vehicles has been studied using various techniques, including stochastic policies, generative models, and regression. Recent work has shown that classification over a trajectory set, which approximates possible motions, achieves state-of-the-art performance and avoids issues like mode co... |
2310.09874 | Jiahao Wu | Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing
Li, Xiao-Ming Wu, Ke Tang | TF-DCon: Leveraging Large Language Models (LLMs) to Empower
Training-Free Dataset Condensation for Content-Based Recommendation | null | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern techniques in Content-based Recommendation (CBR) leverage item content
information to provide personalized services to users, but suffer from
resource-intensive training on large datasets. To address this issue, we
explore the dataset condensation for textual CBR in this paper. The goal of
dataset condensation... | [
{
"created": "Sun, 15 Oct 2023 16:15:07 GMT",
"version": "v1"
},
{
"created": "Wed, 1 Nov 2023 19:02:09 GMT",
"version": "v2"
},
{
"created": "Fri, 12 Jan 2024 07:16:42 GMT",
"version": "v3"
}
] | 2024-01-15 | [
[
"Wu",
"Jiahao",
""
],
[
"Liu",
"Qijiong",
""
],
[
"Hu",
"Hengchang",
""
],
[
"Fan",
"Wenqi",
""
],
[
"Liu",
"Shengcai",
""
],
[
"Li",
"Qing",
""
],
[
"Wu",
"Xiao-Ming",
""
],
[
"Tang",
"Ke",
... | Modern techniques in Content-based Recommendation (CBR) leverage item content information to provide personalized services to users, but suffer from resource-intensive training on large datasets. To address this issue, we explore the dataset condensation for textual CBR in this paper. The goal of dataset condensation i... |
cs/0411007 | Benoit Masson | Julien Cervelle (IGM), Enrico Formenti (I3S), Benoit Masson (I3S) | Basic properties for sand automata | submitted to STACS 2005 | null | null | null | cs.CC | null | We prove several results about the relations between injectivity and
surjectivity for sand automata. Moreover, we begin the exploration of the
dynamical behavior of sand automata proving that the property of nilpotency is
undecidable. We believe that the proof technique used for this last result
might reveal useful f... | [
{
"created": "Thu, 4 Nov 2004 12:33:37 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Cervelle",
"Julien",
"",
"IGM"
],
[
"Formenti",
"Enrico",
"",
"I3S"
],
[
"Masson",
"Benoit",
"",
"I3S"
]
] | We prove several results about the relations between injectivity and surjectivity for sand automata. Moreover, we begin the exploration of the dynamical behavior of sand automata proving that the property of nilpotency is undecidable. We believe that the proof technique used for this last result might reveal useful for... |
cs/0606048 | Rudi Cilibrasi | Rudi Cilibrasi and Paul M.B. Vitanyi | A New Quartet Tree Heuristic for Hierarchical Clustering | 22 pages, 14 figures | null | null | null | cs.DS cs.CV cs.DM math.ST physics.data-an q-bio.QM stat.TH | null | We consider the problem of constructing an an optimal-weight tree from the
3*(n choose 4) weighted quartet topologies on n objects, where optimality means
that the summed weight of the embedded quartet topologiesis optimal (so it can
be the case that the optimal tree embeds all quartets as non-optimal
topologies). We... | [
{
"created": "Sun, 11 Jun 2006 16:05:51 GMT",
"version": "v1"
}
] | 2011-11-09 | [
[
"Cilibrasi",
"Rudi",
""
],
[
"Vitanyi",
"Paul M. B.",
""
]
] | We consider the problem of constructing an an optimal-weight tree from the 3*(n choose 4) weighted quartet topologies on n objects, where optimality means that the summed weight of the embedded quartet topologiesis optimal (so it can be the case that the optimal tree embeds all quartets as non-optimal topologies). We p... |
2401.09721 | Ryosuke Watanabe | Ryosuke Watanabe and Keisuke Nonaka and Eduardo Pavez and Tatsuya
Kobayashi and Antonio Ortega | Fast graph-based denoising for point cloud color information | Published in the proceeding of 2024 IEEE International Conference on
Acoustics, Speech and Signal Processing (ICASSP 2024) | null | 10.1109/ICASSP48485.2024.10446200 | null | cs.CV eess.IV eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Point clouds are utilized in various 3D applications such as cross-reality
(XR) and realistic 3D displays. In some applications, e.g., for live streaming
using a 3D point cloud, real-time point cloud denoising methods are required to
enhance the visual quality. However, conventional high-precision denoising
methods c... | [
{
"created": "Thu, 18 Jan 2024 04:51:41 GMT",
"version": "v1"
},
{
"created": "Fri, 19 Jan 2024 04:07:33 GMT",
"version": "v2"
},
{
"created": "Sat, 15 Jun 2024 05:38:29 GMT",
"version": "v3"
}
] | 2024-06-18 | [
[
"Watanabe",
"Ryosuke",
""
],
[
"Nonaka",
"Keisuke",
""
],
[
"Pavez",
"Eduardo",
""
],
[
"Kobayashi",
"Tatsuya",
""
],
[
"Ortega",
"Antonio",
""
]
] | Point clouds are utilized in various 3D applications such as cross-reality (XR) and realistic 3D displays. In some applications, e.g., for live streaming using a 3D point cloud, real-time point cloud denoising methods are required to enhance the visual quality. However, conventional high-precision denoising methods can... |
2208.12646 | Keisuke Fujii | Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii | Automatic detection of faults in race walking from a smartphone camera:
a comparison of an Olympic medalist and university athletes | 16 pages, 9 figures | null | null | null | cs.CV cs.AI cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | Automatic fault detection is a major challenge in many sports. In race
walking, referees visually judge faults according to the rules. Hence, ensuring
objectivity and fairness while judging is important. To address this issue,
some studies have attempted to use sensors and machine learning to
automatically detect fau... | [
{
"created": "Wed, 24 Aug 2022 07:04:36 GMT",
"version": "v1"
}
] | 2022-08-29 | [
[
"Suzuki",
"Tomohiro",
""
],
[
"Takeda",
"Kazuya",
""
],
[
"Fujii",
"Keisuke",
""
]
] | Automatic fault detection is a major challenge in many sports. In race walking, referees visually judge faults according to the rules. Hence, ensuring objectivity and fairness while judging is important. To address this issue, some studies have attempted to use sensors and machine learning to automatically detect fault... |
2102.12220 | Yuanxin Wu | Wei Ouyang, Yuanxin Wu | A Trident Quaternion Framework for Inertial-based Navigation Part II:
Error Models and Application to Initial Alignment | 17 pages, 13 figures | null | null | null | cs.RO cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work deals with error models for trident quaternion framework proposed
in the companion paper (Part I) and further uses them to investigate the
odometer-aided static/in-motion inertial navigation attitude alignment for land
vehicles. By linearizing the trident quaternion kinematic equation, the left
and right tr... | [
{
"created": "Wed, 24 Feb 2021 11:21:03 GMT",
"version": "v1"
},
{
"created": "Sun, 16 May 2021 08:07:48 GMT",
"version": "v2"
}
] | 2021-05-18 | [
[
"Ouyang",
"Wei",
""
],
[
"Wu",
"Yuanxin",
""
]
] | This work deals with error models for trident quaternion framework proposed in the companion paper (Part I) and further uses them to investigate the odometer-aided static/in-motion inertial navigation attitude alignment for land vehicles. By linearizing the trident quaternion kinematic equation, the left and right trid... |
1804.10025 | Anton Kocheturov | Anton Kocheturov, Petar Momcilovic, Azra Bihorac, Panos M. Pardalos | Extended Vertical Lists for Temporal Pattern Mining from Multivariate
Time Series | 16 pages, 7 figures, 2 tables | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Temporal Pattern Mining (TPM) is the problem of mining predictive complex
temporal patterns from multivariate time series in a supervised setting. We
develop a new method called the Fast Temporal Pattern Mining with Extended
Vertical Lists. This method utilizes an extension of the Apriori property which
requires a mo... | [
{
"created": "Thu, 26 Apr 2018 12:49:26 GMT",
"version": "v1"
}
] | 2018-04-27 | [
[
"Kocheturov",
"Anton",
""
],
[
"Momcilovic",
"Petar",
""
],
[
"Bihorac",
"Azra",
""
],
[
"Pardalos",
"Panos M.",
""
]
] | Temporal Pattern Mining (TPM) is the problem of mining predictive complex temporal patterns from multivariate time series in a supervised setting. We develop a new method called the Fast Temporal Pattern Mining with Extended Vertical Lists. This method utilizes an extension of the Apriori property which requires a more... |
2402.03379 | Yinqiu Huang | Yinqiu Huang, Shuli Wang, Min Gao, Xue Wei, Changhao Li, Chuan Luo,
Yinhua Zhu, Xiong Xiao, Yi Luo | Entire Chain Uplift Modeling with Context-Enhanced Learning for
Intelligent Marketing | Accepted by WWW2024 | null | null | null | cs.IR cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Uplift modeling, vital in online marketing, seeks to accurately measure the
impact of various strategies, such as coupons or discounts, on different users
by predicting the Individual Treatment Effect (ITE). In an e-commerce setting,
user behavior follows a defined sequential chain, including impression, click,
and c... | [
{
"created": "Sun, 4 Feb 2024 03:30:25 GMT",
"version": "v1"
}
] | 2024-02-07 | [
[
"Huang",
"Yinqiu",
""
],
[
"Wang",
"Shuli",
""
],
[
"Gao",
"Min",
""
],
[
"Wei",
"Xue",
""
],
[
"Li",
"Changhao",
""
],
[
"Luo",
"Chuan",
""
],
[
"Zhu",
"Yinhua",
""
],
[
"Xiao",
"Xiong",
""... | Uplift modeling, vital in online marketing, seeks to accurately measure the impact of various strategies, such as coupons or discounts, on different users by predicting the Individual Treatment Effect (ITE). In an e-commerce setting, user behavior follows a defined sequential chain, including impression, click, and con... |
2304.00426 | Yifan Zhao | Zeyin Song, Yifan Zhao, Yujun Shi, Peixi Peng, Li Yuan, Yonghong Tian | Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for
Few-Shot Class-Incremental Learning | Accepted by CVPR 2023 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Few-shot class-incremental learning (FSCIL) aims at learning to classify new
classes continually from limited samples without forgetting the old classes.
The mainstream framework tackling FSCIL is first to adopt the cross-entropy
(CE) loss for training at the base session, then freeze the feature extractor
to adapt t... | [
{
"created": "Sun, 2 Apr 2023 01:51:24 GMT",
"version": "v1"
}
] | 2023-04-04 | [
[
"Song",
"Zeyin",
""
],
[
"Zhao",
"Yifan",
""
],
[
"Shi",
"Yujun",
""
],
[
"Peng",
"Peixi",
""
],
[
"Yuan",
"Li",
""
],
[
"Tian",
"Yonghong",
""
]
] | Few-shot class-incremental learning (FSCIL) aims at learning to classify new classes continually from limited samples without forgetting the old classes. The mainstream framework tackling FSCIL is first to adopt the cross-entropy (CE) loss for training at the base session, then freeze the feature extractor to adapt to ... |
1912.07381 | Q.Vera Liao | Q. Vera Liao, Michael Muller | Enabling Value Sensitive AI Systems through Participatory Design
Fictions | null | null | null | null | cs.HC cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Two general routes have been followed to develop artificial agents that are
sensitive to human values---a top-down approach to encode values into the
agents, and a bottom-up approach to learn from human actions, whether from
real-world interactions or stories. Although both approaches have made exciting
scientific pr... | [
{
"created": "Fri, 13 Dec 2019 01:16:03 GMT",
"version": "v1"
}
] | 2019-12-17 | [
[
"Liao",
"Q. Vera",
""
],
[
"Muller",
"Michael",
""
]
] | Two general routes have been followed to develop artificial agents that are sensitive to human values---a top-down approach to encode values into the agents, and a bottom-up approach to learn from human actions, whether from real-world interactions or stories. Although both approaches have made exciting scientific prog... |
2007.06759 | Noranart Vesdapunt | Bindita Chaudhuri, Noranart Vesdapunt, Linda Shapiro, Baoyuan Wang | Personalized Face Modeling for Improved Face Reconstruction and Motion
Retargeting | ECCV 2020 (spotlight), webpage:
https://homes.cs.washington.edu/~bindita/personalizedfacemodeling.html | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Traditional methods for image-based 3D face reconstruction and facial motion
retargeting fit a 3D morphable model (3DMM) to the face, which has limited
modeling capacity and fail to generalize well to in-the-wild data. Use of
deformation transfer or multilinear tensor as a personalized 3DMM for
blendshape interpolati... | [
{
"created": "Tue, 14 Jul 2020 01:30:14 GMT",
"version": "v1"
},
{
"created": "Fri, 17 Jul 2020 23:08:43 GMT",
"version": "v2"
}
] | 2020-07-21 | [
[
"Chaudhuri",
"Bindita",
""
],
[
"Vesdapunt",
"Noranart",
""
],
[
"Shapiro",
"Linda",
""
],
[
"Wang",
"Baoyuan",
""
]
] | Traditional methods for image-based 3D face reconstruction and facial motion retargeting fit a 3D morphable model (3DMM) to the face, which has limited modeling capacity and fail to generalize well to in-the-wild data. Use of deformation transfer or multilinear tensor as a personalized 3DMM for blendshape interpolation... |
1002.1300 | Mukul Agarwal | Mukul Agarwal, Sanjoy Mitter | Architecture for communication with a fidelity criterion in unknown
networks | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We prove that in order to communicate independent sources (this is the
unicast problem) between various users over an unknown medium to within various
distortion levels, it is sufficient to consider source-channel separation based
architectures: architectures which first compress the sources to within the
correspondi... | [
{
"created": "Fri, 5 Feb 2010 17:21:42 GMT",
"version": "v1"
},
{
"created": "Fri, 21 Jan 2011 03:57:20 GMT",
"version": "v2"
}
] | 2011-01-24 | [
[
"Agarwal",
"Mukul",
""
],
[
"Mitter",
"Sanjoy",
""
]
] | We prove that in order to communicate independent sources (this is the unicast problem) between various users over an unknown medium to within various distortion levels, it is sufficient to consider source-channel separation based architectures: architectures which first compress the sources to within the corresponding... |
2307.06632 | Hailiang Tang | Hailiang Tang, Tisheng Zhang, Xiaoji Niu, Liqiang Wang, Linfu Wei, and
Jingnan Liu | FF-LINS: A Consistent Frame-to-Frame Solid-State-LiDAR-Inertial State
Estimator | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most of the existing LiDAR-inertial navigation systems are based on
frame-to-map registrations, leading to inconsistency in state estimation. The
newest solid-state LiDAR with a non-repetitive scanning pattern makes it
possible to achieve a consistent LiDAR-inertial estimator by employing a
frame-to-frame data associ... | [
{
"created": "Thu, 13 Jul 2023 08:59:39 GMT",
"version": "v1"
}
] | 2023-07-14 | [
[
"Tang",
"Hailiang",
""
],
[
"Zhang",
"Tisheng",
""
],
[
"Niu",
"Xiaoji",
""
],
[
"Wang",
"Liqiang",
""
],
[
"Wei",
"Linfu",
""
],
[
"Liu",
"Jingnan",
""
]
] | Most of the existing LiDAR-inertial navigation systems are based on frame-to-map registrations, leading to inconsistency in state estimation. The newest solid-state LiDAR with a non-repetitive scanning pattern makes it possible to achieve a consistent LiDAR-inertial estimator by employing a frame-to-frame data associat... |
2305.00410 | Rahul Meshram Dr. | Vishesh Mittal, Rahul Meshram, Deepak Dev and Surya Prakash | Indexability of Finite State Restless Multi-Armed Bandit and Rollout
Policy | 15 Pages, submitted to conference | null | null | null | cs.LG cs.SY eess.SY stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider finite state restless multi-armed bandit problem. The decision
maker can act on M bandits out of N bandits in each time step. The play of arm
(active arm) yields state dependent rewards based on action and when the arm is
not played, it also provides rewards based on the state and action. The
objective of... | [
{
"created": "Sun, 30 Apr 2023 06:53:44 GMT",
"version": "v1"
}
] | 2023-05-02 | [
[
"Mittal",
"Vishesh",
""
],
[
"Meshram",
"Rahul",
""
],
[
"Dev",
"Deepak",
""
],
[
"Prakash",
"Surya",
""
]
] | We consider finite state restless multi-armed bandit problem. The decision maker can act on M bandits out of N bandits in each time step. The play of arm (active arm) yields state dependent rewards based on action and when the arm is not played, it also provides rewards based on the state and action. The objective of t... |
2205.15812 | Iknoor Singh | Iknoor Singh, Yue Li, Melissa Thong, Carolina Scarton | GateNLP-UShef at SemEval-2022 Task 8: Entity-Enriched Siamese
Transformer for Multilingual News Article Similarity | Accepted at SemEval-2022 Task 8: Multilingual News Article Similarity
(co-located with NAACL 2022) | null | null | null | cs.CL cs.AI cs.CY cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper describes the second-placed system on the leaderboard of
SemEval-2022 Task 8: Multilingual News Article Similarity. We propose an
entity-enriched Siamese Transformer which computes news article similarity
based on different sub-dimensions, such as the shared narrative, entities,
location and time of the ev... | [
{
"created": "Tue, 31 May 2022 14:11:45 GMT",
"version": "v1"
},
{
"created": "Wed, 29 Jun 2022 14:28:37 GMT",
"version": "v2"
}
] | 2022-06-30 | [
[
"Singh",
"Iknoor",
""
],
[
"Li",
"Yue",
""
],
[
"Thong",
"Melissa",
""
],
[
"Scarton",
"Carolina",
""
]
] | This paper describes the second-placed system on the leaderboard of SemEval-2022 Task 8: Multilingual News Article Similarity. We propose an entity-enriched Siamese Transformer which computes news article similarity based on different sub-dimensions, such as the shared narrative, entities, location and time of the even... |
2210.15723 | Stefan Wojcik | Stefan Wojcik and Sophie Hilgard and Nick Judd and Delia Mocanu and
Stephen Ragain and M.B. Fallin Hunzaker and Keith Coleman and Jay Baxter | Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding
and Reduce the Spread of Misinformation | null | null | null | null | cs.SI | http://creativecommons.org/licenses/by/4.0/ | We present an approach for selecting objectively informative and subjectively
helpful annotations to social media posts. We draw on data from on an online
environment where contributors annotate misinformation and simultaneously rate
the contributions of others. Our algorithm uses a matrix-factorization (MF)
based ap... | [
{
"created": "Thu, 27 Oct 2022 18:57:20 GMT",
"version": "v1"
}
] | 2022-10-31 | [
[
"Wojcik",
"Stefan",
""
],
[
"Hilgard",
"Sophie",
""
],
[
"Judd",
"Nick",
""
],
[
"Mocanu",
"Delia",
""
],
[
"Ragain",
"Stephen",
""
],
[
"Hunzaker",
"M. B. Fallin",
""
],
[
"Coleman",
"Keith",
""
],
[
... | We present an approach for selecting objectively informative and subjectively helpful annotations to social media posts. We draw on data from on an online environment where contributors annotate misinformation and simultaneously rate the contributions of others. Our algorithm uses a matrix-factorization (MF) based appr... |
1312.5547 | Lassi A Liikkanen | Lassi A Liikkanen | Three Metrics for Measuring User Engagement with Online Media and a
YouTube Case Study | 4 pages, 1 figure, 3 tables, 2 appendixes | null | null | null | cs.HC cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This technical report discusses three metrics of user engagement with online
media. They are Commenting frequency, Voting frequency, and Voting balance.
These relative figures can be derived from established, basic statistics
available for many services, prominently YouTube. The paper includes case a
study of popular... | [
{
"created": "Thu, 19 Dec 2013 13:45:11 GMT",
"version": "v1"
},
{
"created": "Thu, 10 Apr 2014 12:18:57 GMT",
"version": "v2"
}
] | 2014-04-11 | [
[
"Liikkanen",
"Lassi A",
""
]
] | This technical report discusses three metrics of user engagement with online media. They are Commenting frequency, Voting frequency, and Voting balance. These relative figures can be derived from established, basic statistics available for many services, prominently YouTube. The paper includes case a study of popular Y... |
2006.11513 | Haisen Zhang | Haijun Zhang, Haisen Zhang, Keping Long and George K. Karagiannidis | Deep Learning based Radio Resource Management in NOMA Networks: User
Association, Subchannel and Power Allocation | to appear in IEEE Transactions on Network Science and Engineering | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the rapid development of future wireless communication, the combination
of NOMA technology and millimeter-wave(mmWave) technology has become a research
hotspot. The application of NOMA in mmWave heterogeneous networks can meet the
diverse needs of users in different applications and scenarios in future
communica... | [
{
"created": "Sat, 20 Jun 2020 07:49:24 GMT",
"version": "v1"
}
] | 2020-06-23 | [
[
"Zhang",
"Haijun",
""
],
[
"Zhang",
"Haisen",
""
],
[
"Long",
"Keping",
""
],
[
"Karagiannidis",
"George K.",
""
]
] | With the rapid development of future wireless communication, the combination of NOMA technology and millimeter-wave(mmWave) technology has become a research hotspot. The application of NOMA in mmWave heterogeneous networks can meet the diverse needs of users in different applications and scenarios in future communicati... |
0911.1813 | Aaron Roth | Aaron Roth, Tim Roughgarden | Interactive Privacy via the Median Mechanism | Appeared in STOC 2010 | null | null | null | cs.CR cs.CC cs.DB cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We define a new interactive differentially private mechanism -- the median
mechanism -- for answering arbitrary predicate queries that arrive online.
Relative to fixed accuracy and privacy constraints, this mechanism can answer
exponentially more queries than the previously best known interactive privacy
mechanism (t... | [
{
"created": "Tue, 10 Nov 2009 03:55:44 GMT",
"version": "v1"
},
{
"created": "Wed, 19 Jan 2011 16:09:18 GMT",
"version": "v2"
}
] | 2011-01-20 | [
[
"Roth",
"Aaron",
""
],
[
"Roughgarden",
"Tim",
""
]
] | We define a new interactive differentially private mechanism -- the median mechanism -- for answering arbitrary predicate queries that arrive online. Relative to fixed accuracy and privacy constraints, this mechanism can answer exponentially more queries than the previously best known interactive privacy mechanism (the... |
1611.07724 | Frank Gurski | Carolin Albrecht, Frank Gurski, Jochen Rethmann, Eda Yilmaz | Knapsack Problems: A Parameterized Point of View | 27 pages, 1 figure | null | null | null | cs.CC cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The knapsack problem (KP) is a very famous NP-hard problem in combinatorial
optimization. Also its generalization to multiple dimensions named
d-dimensional knapsack problem (d-KP) and to multiple knapsacks named multiple
knapsack problem (MKP) are well known problems. Since KP, d-KP, and MKP are
integer-valued probl... | [
{
"created": "Wed, 23 Nov 2016 10:23:46 GMT",
"version": "v1"
}
] | 2016-11-24 | [
[
"Albrecht",
"Carolin",
""
],
[
"Gurski",
"Frank",
""
],
[
"Rethmann",
"Jochen",
""
],
[
"Yilmaz",
"Eda",
""
]
] | The knapsack problem (KP) is a very famous NP-hard problem in combinatorial optimization. Also its generalization to multiple dimensions named d-dimensional knapsack problem (d-KP) and to multiple knapsacks named multiple knapsack problem (MKP) are well known problems. Since KP, d-KP, and MKP are integer-valued problem... |
1502.04014 | Ivano Malavolta | Mirco Franzago, Ivano Malavolta, Henry Muccini | Stakeholders, Viewpoints and Languages of a Modelling Framework for the
Design and Development of Data-Intensive Mobile Apps | Workshop MOBILEng 2014 | null | null | MOBILEng/2014/03 | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Today millions of mobile apps are downloaded and used all over the world.
Guidelines and best practices on how to design and develop mobile apps are
being periodically released, mainly by mobile platform vendors and researchers.
They cover different concerns, and refer to different technical and
non-technical stakeho... | [
{
"created": "Fri, 13 Feb 2015 14:51:30 GMT",
"version": "v1"
},
{
"created": "Fri, 27 Feb 2015 17:52:53 GMT",
"version": "v2"
}
] | 2015-03-02 | [
[
"Franzago",
"Mirco",
""
],
[
"Malavolta",
"Ivano",
""
],
[
"Muccini",
"Henry",
""
]
] | Today millions of mobile apps are downloaded and used all over the world. Guidelines and best practices on how to design and develop mobile apps are being periodically released, mainly by mobile platform vendors and researchers. They cover different concerns, and refer to different technical and non-technical stakehold... |
1803.03525 | Andrii Berezovskyi | Andrii Berezovskyi, Jad El-khoury, Omar Kacimi, and Fr\'ed\'eric
Loiret | Improving lifecycle query in integrated toolchains using linked data and
MQTT-based data warehousing | 12 pages, workshop | null | null | null | cs.SE cs.MA cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The development of increasingly complex IoT systems requires large
engineering environments. These environments generally consist of tools from
different vendors and are not necessarily integrated well with each other. In
order to automate various analyses, queries across resources from multiple
tools have to be exec... | [
{
"created": "Fri, 9 Mar 2018 14:29:32 GMT",
"version": "v1"
}
] | 2018-03-12 | [
[
"Berezovskyi",
"Andrii",
""
],
[
"El-khoury",
"Jad",
""
],
[
"Kacimi",
"Omar",
""
],
[
"Loiret",
"Frédéric",
""
]
] | The development of increasingly complex IoT systems requires large engineering environments. These environments generally consist of tools from different vendors and are not necessarily integrated well with each other. In order to automate various analyses, queries across resources from multiple tools have to be execut... |
2103.13822 | Minxue Tang | Minxue Tang, Xuefei Ning, Yitu Wang, Jingwei Sun, Yu Wang, Hai Li and
Yiran Chen | FedCor: Correlation-Based Active Client Selection Strategy for
Heterogeneous Federated Learning | Accepted by CVPR 2022 | null | null | null | cs.LG cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Client-wise data heterogeneity is one of the major issues that hinder
effective training in federated learning (FL). Since the data distribution on
each client may vary dramatically, the client selection strategy can
significantly influence the convergence rate of the FL process. Active client
selection strategies ar... | [
{
"created": "Wed, 24 Mar 2021 03:25:14 GMT",
"version": "v1"
},
{
"created": "Wed, 25 Aug 2021 21:12:10 GMT",
"version": "v2"
},
{
"created": "Thu, 24 Mar 2022 14:58:49 GMT",
"version": "v3"
}
] | 2022-03-25 | [
[
"Tang",
"Minxue",
""
],
[
"Ning",
"Xuefei",
""
],
[
"Wang",
"Yitu",
""
],
[
"Sun",
"Jingwei",
""
],
[
"Wang",
"Yu",
""
],
[
"Li",
"Hai",
""
],
[
"Chen",
"Yiran",
""
]
] | Client-wise data heterogeneity is one of the major issues that hinder effective training in federated learning (FL). Since the data distribution on each client may vary dramatically, the client selection strategy can significantly influence the convergence rate of the FL process. Active client selection strategies are ... |
1603.01547 | Ondrej Bajgar | Rudolf Kadlec, Martin Schmid, Ondrej Bajgar and Jan Kleindienst | Text Understanding with the Attention Sum Reader Network | Presented at ACL 2016 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Several large cloze-style context-question-answer datasets have been
introduced recently: the CNN and Daily Mail news data and the Children's Book
Test. Thanks to the size of these datasets, the associated text comprehension
task is well suited for deep-learning techniques that currently seem to
outperform all altern... | [
{
"created": "Fri, 4 Mar 2016 17:32:42 GMT",
"version": "v1"
},
{
"created": "Fri, 24 Jun 2016 13:04:47 GMT",
"version": "v2"
}
] | 2016-06-27 | [
[
"Kadlec",
"Rudolf",
""
],
[
"Schmid",
"Martin",
""
],
[
"Bajgar",
"Ondrej",
""
],
[
"Kleindienst",
"Jan",
""
]
] | Several large cloze-style context-question-answer datasets have been introduced recently: the CNN and Daily Mail news data and the Children's Book Test. Thanks to the size of these datasets, the associated text comprehension task is well suited for deep-learning techniques that currently seem to outperform all alternat... |
2111.01689 | Michal Ptaszynski Prof. | Juuso Eronen, Michal Ptaszynski, Fumito Masui, Aleksander
Smywi\'nski-Pohl, Gniewosz Leliwa, Michal Wroczynski | Improving Classifier Training Efficiency for Automatic Cyberbullying
Detection with Feature Density | 73 pages, 4 figures, 19 tables, Information Processing and
Management, Vol. 58, Issue 5, September 2021, paper ID: 102616 | Information Processing and Management, Vol. 58, Issue 5, September
2021, paper ID: 102616 | 10.1016/j.ipm.2021.102616 | null | cs.CL cs.AI cs.CY | http://creativecommons.org/licenses/by-nc-nd/4.0/ | We study the effectiveness of Feature Density (FD) using different
linguistically-backed feature preprocessing methods in order to estimate
dataset complexity, which in turn is used to comparatively estimate the
potential performance of machine learning (ML) classifiers prior to any
training. We hypothesise that esti... | [
{
"created": "Tue, 2 Nov 2021 15:48:28 GMT",
"version": "v1"
},
{
"created": "Wed, 3 Nov 2021 01:46:27 GMT",
"version": "v2"
}
] | 2021-11-04 | [
[
"Eronen",
"Juuso",
""
],
[
"Ptaszynski",
"Michal",
""
],
[
"Masui",
"Fumito",
""
],
[
"Smywiński-Pohl",
"Aleksander",
""
],
[
"Leliwa",
"Gniewosz",
""
],
[
"Wroczynski",
"Michal",
""
]
] | We study the effectiveness of Feature Density (FD) using different linguistically-backed feature preprocessing methods in order to estimate dataset complexity, which in turn is used to comparatively estimate the potential performance of machine learning (ML) classifiers prior to any training. We hypothesise that estima... |
1701.01590 | Ruohan Cao | Ruohan Cao | Detecting Arbitrary Attacks Using Continuous Secured Side Information in
Wireless Networks | arXiv admin note: substantial text overlap with arXiv:1612.01707 | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper focuses on Byzantine attack detection for Gaussian two-hop one-way
relay network, where an amplify-and-forward relay may conduct Byzantine attacks
by forwarding altered symbols to the destination. For facilitating attack
detection, we utilize the openness of wireless medium to make the destination
observe ... | [
{
"created": "Fri, 6 Jan 2017 10:44:13 GMT",
"version": "v1"
},
{
"created": "Mon, 9 Jan 2017 11:48:25 GMT",
"version": "v2"
},
{
"created": "Fri, 4 Aug 2017 10:04:02 GMT",
"version": "v3"
}
] | 2017-08-07 | [
[
"Cao",
"Ruohan",
""
]
] | This paper focuses on Byzantine attack detection for Gaussian two-hop one-way relay network, where an amplify-and-forward relay may conduct Byzantine attacks by forwarding altered symbols to the destination. For facilitating attack detection, we utilize the openness of wireless medium to make the destination observe so... |
2403.15481 | Aastha Pant | Aastha Pant, Rashina Hoda, Chakkrit Tantithamthavorn, Burak Turhan | Navigating Fairness: Practitioners' Understanding, Challenges, and
Strategies in AI/ML Development | 46 pages, 8 figures, 2 tables | null | null | null | cs.CY cs.AI cs.SE | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The rise in the use of AI/ML applications across industries has sparked more
discussions about the fairness of AI/ML in recent times. While prior research
on the fairness of AI/ML exists, there is a lack of empirical studies focused
on understanding the perspectives and experiences of AI practitioners in
developing a... | [
{
"created": "Thu, 21 Mar 2024 03:44:59 GMT",
"version": "v1"
},
{
"created": "Wed, 31 Jul 2024 14:47:24 GMT",
"version": "v2"
}
] | 2024-08-02 | [
[
"Pant",
"Aastha",
""
],
[
"Hoda",
"Rashina",
""
],
[
"Tantithamthavorn",
"Chakkrit",
""
],
[
"Turhan",
"Burak",
""
]
] | The rise in the use of AI/ML applications across industries has sparked more discussions about the fairness of AI/ML in recent times. While prior research on the fairness of AI/ML exists, there is a lack of empirical studies focused on understanding the perspectives and experiences of AI practitioners in developing a f... |
2405.07679 | Yufei Gu | Yufei Gu | Class-wise Activation Unravelling the Engima of Deep Double Descent | arXiv admin note: text overlap with arXiv:2310.13572 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Double descent presents a counter-intuitive aspect within the machine
learning domain, and researchers have observed its manifestation in various
models and tasks. While some theoretical explanations have been proposed for
this phenomenon in specific contexts, an accepted theory for its occurring
mechanism in deep le... | [
{
"created": "Mon, 13 May 2024 12:07:48 GMT",
"version": "v1"
}
] | 2024-05-14 | [
[
"Gu",
"Yufei",
""
]
] | Double descent presents a counter-intuitive aspect within the machine learning domain, and researchers have observed its manifestation in various models and tasks. While some theoretical explanations have been proposed for this phenomenon in specific contexts, an accepted theory for its occurring mechanism in deep lear... |
2309.16708 | Neda Rahimpour Anaraki | Neda Rahimpour Anaraki, Alireza Azadbakht, Maryam Tahmasbi, Hadi
Farahani, Saeed Reza Kheradpisheh, Alireza Javaheri | Automatic Cadastral Boundary Detection of Very High Resolution Images
Using Mask R-CNN | null | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Recently, there has been a high demand for accelerating and improving the
detection of automatic cadastral mapping. As this problem is in its starting
point, there are many methods of computer vision and deep learning that have
not been considered yet. In this paper, we focus on deep learning and provide
three geomet... | [
{
"created": "Thu, 17 Aug 2023 10:47:15 GMT",
"version": "v1"
}
] | 2023-10-02 | [
[
"Anaraki",
"Neda Rahimpour",
""
],
[
"Azadbakht",
"Alireza",
""
],
[
"Tahmasbi",
"Maryam",
""
],
[
"Farahani",
"Hadi",
""
],
[
"Kheradpisheh",
"Saeed Reza",
""
],
[
"Javaheri",
"Alireza",
""
]
] | Recently, there has been a high demand for accelerating and improving the detection of automatic cadastral mapping. As this problem is in its starting point, there are many methods of computer vision and deep learning that have not been considered yet. In this paper, we focus on deep learning and provide three geometri... |
1809.00232 | Peng Yang | Peng Yang, Ning Zhang, Shan Zhang, Li Yu, Junshan Zhang, Xuemin Shen | Content Popularity Prediction Towards Location-Aware Mobile Edge Caching | to appear in IEEE Trans. Multimedia | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Mobile edge caching enables content delivery within the radio access network,
which effectively alleviates the backhaul burden and reduces response time. To
fully exploit edge storage resources, the most popular contents should be
identified and cached. Observing that user demands on certain contents vary
greatly at ... | [
{
"created": "Sat, 1 Sep 2018 18:29:08 GMT",
"version": "v1"
}
] | 2018-09-05 | [
[
"Yang",
"Peng",
""
],
[
"Zhang",
"Ning",
""
],
[
"Zhang",
"Shan",
""
],
[
"Yu",
"Li",
""
],
[
"Zhang",
"Junshan",
""
],
[
"Shen",
"Xuemin",
""
]
] | Mobile edge caching enables content delivery within the radio access network, which effectively alleviates the backhaul burden and reduces response time. To fully exploit edge storage resources, the most popular contents should be identified and cached. Observing that user demands on certain contents vary greatly at di... |
2109.06511 | Yizhar Or | Oren Wiezel, Suresh Ramasamy, Nathan Justus, Yizhar Or and Ross Hatton | Geometric analysis of gaits and optimal control for three-link kinematic
swimmers | accepted to Automatica, 2023 | null | null | null | cs.RO cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | Many robotic systems locomote using gaits - periodic changes of internal
shape, whose mechanical interaction with the robot's environment generate
characteristic net displacements. Prominent examples with two shape variables
are the low Reynolds number 3-link "Purcell swimmer" with inputs of 2 joint
angles and the "i... | [
{
"created": "Tue, 14 Sep 2021 08:15:51 GMT",
"version": "v1"
},
{
"created": "Thu, 24 Aug 2023 15:44:07 GMT",
"version": "v2"
}
] | 2023-08-25 | [
[
"Wiezel",
"Oren",
""
],
[
"Ramasamy",
"Suresh",
""
],
[
"Justus",
"Nathan",
""
],
[
"Or",
"Yizhar",
""
],
[
"Hatton",
"Ross",
""
]
] | Many robotic systems locomote using gaits - periodic changes of internal shape, whose mechanical interaction with the robot's environment generate characteristic net displacements. Prominent examples with two shape variables are the low Reynolds number 3-link "Purcell swimmer" with inputs of 2 joint angles and the "ide... |
2011.05007 | Quynh Ngoc Thi Do | Quynh Do, Judith Gaspers, Tobias Roding, Melanie Bradford | To What Degree Can Language Borders Be Blurred In BERT-based
Multilingual Spoken Language Understanding? | COLING 2020 | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper addresses the question as to what degree a BERT-based multilingual
Spoken Language Understanding (SLU) model can transfer knowledge across
languages. Through experiments we will show that, although it works
substantially well even on distant language groups, there is still a gap to the
ideal multilingual p... | [
{
"created": "Tue, 10 Nov 2020 09:59:24 GMT",
"version": "v1"
}
] | 2020-11-11 | [
[
"Do",
"Quynh",
""
],
[
"Gaspers",
"Judith",
""
],
[
"Roding",
"Tobias",
""
],
[
"Bradford",
"Melanie",
""
]
] | This paper addresses the question as to what degree a BERT-based multilingual Spoken Language Understanding (SLU) model can transfer knowledge across languages. Through experiments we will show that, although it works substantially well even on distant language groups, there is still a gap to the ideal multilingual per... |
1407.7508 | Zhenqiu Liu | Zhenqiu Liu and Gang Li | Efficient Regularized Regression for Variable Selection with L0 Penalty | 26 pages and 3 figures | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Variable (feature, gene, model, which we use interchangeably) selections for
regression with high-dimensional BIGDATA have found many applications in
bioinformatics, computational biology, image processing, and engineering. One
appealing approach is the L0 regularized regression which penalizes the number
of nonzero ... | [
{
"created": "Mon, 28 Jul 2014 19:28:26 GMT",
"version": "v1"
}
] | 2014-07-29 | [
[
"Liu",
"Zhenqiu",
""
],
[
"Li",
"Gang",
""
]
] | Variable (feature, gene, model, which we use interchangeably) selections for regression with high-dimensional BIGDATA have found many applications in bioinformatics, computational biology, image processing, and engineering. One appealing approach is the L0 regularized regression which penalizes the number of nonzero fe... |
2304.00180 | Zihao Wang | Zihao Wang, Eugene Agichtein and Jinho Choi | FCC: Fusing Conversation History and Candidate Provenance for Contextual
Response Ranking in Dialogue Systems | The 13th International Workshop on Spoken Dialogue Systems Technology | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Response ranking in dialogues plays a crucial role in retrieval-based
conversational systems. In a multi-turn dialogue, to capture the gist of a
conversation, contextual information serves as essential knowledge to achieve
this goal. In this paper, we present a flexible neural framework that can
integrate contextual ... | [
{
"created": "Fri, 31 Mar 2023 23:58:28 GMT",
"version": "v1"
}
] | 2023-04-04 | [
[
"Wang",
"Zihao",
""
],
[
"Agichtein",
"Eugene",
""
],
[
"Choi",
"Jinho",
""
]
] | Response ranking in dialogues plays a crucial role in retrieval-based conversational systems. In a multi-turn dialogue, to capture the gist of a conversation, contextual information serves as essential knowledge to achieve this goal. In this paper, we present a flexible neural framework that can integrate contextual in... |
2103.13389 | Vadim Sushko | Vadim Sushko, Dan Zhang, Juergen Gall, Anna Khoreva | Generating Novel Scene Compositions from Single Images and Videos | Accepted for publication in Computer Vision and Image Understanding:
https://www.sciencedirect.com/science/article/pii/S1077314223002680. Code
repository: https://github.com/boschresearch/one-shot-synthesis | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given a large dataset for training, generative adversarial networks (GANs)
can achieve remarkable performance for the image synthesis task. However,
training GANs in extremely low data regimes remains a challenge, as overfitting
often occurs, leading to memorization or training divergence. In this work, we
introduce ... | [
{
"created": "Wed, 24 Mar 2021 17:59:07 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Oct 2021 10:55:52 GMT",
"version": "v2"
},
{
"created": "Thu, 17 Mar 2022 16:03:00 GMT",
"version": "v3"
},
{
"created": "Sun, 16 Jul 2023 04:42:07 GMT",
"version": "v4"
},
{
"c... | 2023-12-14 | [
[
"Sushko",
"Vadim",
""
],
[
"Zhang",
"Dan",
""
],
[
"Gall",
"Juergen",
""
],
[
"Khoreva",
"Anna",
""
]
] | Given a large dataset for training, generative adversarial networks (GANs) can achieve remarkable performance for the image synthesis task. However, training GANs in extremely low data regimes remains a challenge, as overfitting often occurs, leading to memorization or training divergence. In this work, we introduce SI... |
2211.12820 | Kunal Relia | Kunal Relia | Fairly Allocating Utility in Constrained Multiwinner Elections | 13 pages (2-column), 3 figures | null | null | null | cs.GT cs.AI cs.CY | http://creativecommons.org/licenses/by-sa/4.0/ | Fairness in multiwinner elections is studied in varying contexts. For
instance, diversity of candidates and representation of voters are both
separately termed as being fair. A common denominator to ensure fairness across
all such contexts is the use of constraints. However, across these contexts,
the candidates sele... | [
{
"created": "Wed, 23 Nov 2022 10:04:26 GMT",
"version": "v1"
}
] | 2022-11-24 | [
[
"Relia",
"Kunal",
""
]
] | Fairness in multiwinner elections is studied in varying contexts. For instance, diversity of candidates and representation of voters are both separately termed as being fair. A common denominator to ensure fairness across all such contexts is the use of constraints. However, across these contexts, the candidates select... |
1304.2581 | Debasish Chatterjee | Debasish Chatterjee and John Lygeros | Stability and performance of stochastic predictive control | 19 pages. Minor corrections and updated references | IEEE Transactions on Automatic Control, Vol. 60, No. 2, pp.
509-514, 2015 | 10.1109/TAC.2014.2335274 | null | cs.SY math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This article is concerned with stability and performance of controlled
stochastic processes under receding horizon policies. We carry out a systematic
study of methods to guarantee stability under receding horizon policies via
appropriate selections of cost functions in the underlying finite-horizon
optimal control p... | [
{
"created": "Tue, 9 Apr 2013 13:29:49 GMT",
"version": "v1"
},
{
"created": "Fri, 19 Apr 2013 09:27:03 GMT",
"version": "v2"
}
] | 2017-11-27 | [
[
"Chatterjee",
"Debasish",
""
],
[
"Lygeros",
"John",
""
]
] | This article is concerned with stability and performance of controlled stochastic processes under receding horizon policies. We carry out a systematic study of methods to guarantee stability under receding horizon policies via appropriate selections of cost functions in the underlying finite-horizon optimal control pro... |
2407.17787 | Fali Wang | Fali Wang, Tianxiang Zhao, Junjie Xu, Suhang Wang | HC-GST: Heterophily-aware Distribution Consistency based Graph
Self-training | accepted by CIKM 2024 | null | 10.1145/3627673.3679622 | null | cs.SI cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph self-training (GST), which selects and assigns pseudo-labels to
unlabeled nodes, is popular for tackling label sparsity in graphs. However,
recent study on homophily graphs show that GST methods could introduce and
amplify distribution shift between training and test nodes as they tend to
assign pseudo-labels t... | [
{
"created": "Thu, 25 Jul 2024 05:38:06 GMT",
"version": "v1"
}
] | 2024-07-26 | [
[
"Wang",
"Fali",
""
],
[
"Zhao",
"Tianxiang",
""
],
[
"Xu",
"Junjie",
""
],
[
"Wang",
"Suhang",
""
]
] | Graph self-training (GST), which selects and assigns pseudo-labels to unlabeled nodes, is popular for tackling label sparsity in graphs. However, recent study on homophily graphs show that GST methods could introduce and amplify distribution shift between training and test nodes as they tend to assign pseudo-labels to ... |
1505.00110 | Peter Hall | Hongping Cai and Qi Wu and Tadeo Corradi and Peter Hall | The Cross-Depiction Problem: Computer Vision Algorithms for Recognising
Objects in Artwork and in Photographs | 12 pages, 6 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The cross-depiction problem is that of recognising visual objects regardless
of whether they are photographed, painted, drawn, etc. It is a potentially
significant yet under-researched problem. Emulating the remarkable human
ability to recognise objects in an astonishingly wide variety of depictive
forms is likely to... | [
{
"created": "Fri, 1 May 2015 07:38:52 GMT",
"version": "v1"
}
] | 2015-05-04 | [
[
"Cai",
"Hongping",
""
],
[
"Wu",
"Qi",
""
],
[
"Corradi",
"Tadeo",
""
],
[
"Hall",
"Peter",
""
]
] | The cross-depiction problem is that of recognising visual objects regardless of whether they are photographed, painted, drawn, etc. It is a potentially significant yet under-researched problem. Emulating the remarkable human ability to recognise objects in an astonishingly wide variety of depictive forms is likely to a... |
2310.10653 | Fikret Basic | Fikret Basic, Martin Gaertner, Christian Steger | Secure and Trustworthy NFC-based Sensor Readout for Battery Packs in
Battery Management Systems | arXiv admin note: text overlap with arXiv:2308.09366 | IEEE Journal of Radio Frequency Identification 2022, vol. 6, pages
637-648 | 10.1109/JRFID.2022.3170381 | null | cs.CR cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Wireless Battery Management Systems (BMS) are increasingly being considered
for modern applications. The ever-increasing complexity and production costs of
BMS modules and wired connections resulted in a necessity for new ideas and
approaches. Despite this growing trend, there is a lack of generic solutions
focused o... | [
{
"created": "Thu, 31 Aug 2023 22:55:21 GMT",
"version": "v1"
}
] | 2023-10-18 | [
[
"Basic",
"Fikret",
""
],
[
"Gaertner",
"Martin",
""
],
[
"Steger",
"Christian",
""
]
] | Wireless Battery Management Systems (BMS) are increasingly being considered for modern applications. The ever-increasing complexity and production costs of BMS modules and wired connections resulted in a necessity for new ideas and approaches. Despite this growing trend, there is a lack of generic solutions focused on ... |
2308.13217 | Masoud Mokhtari | Masoud Mokhtari, Neda Ahmadi, Teresa S. M. Tsang, Purang Abolmaesumi,
Renjie Liao | GEMTrans: A General, Echocardiography-based, Multi-Level Transformer
Framework for Cardiovascular Diagnosis | To be published in MLMI 2023 | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Echocardiography (echo) is an ultrasound imaging modality that is widely used
for various cardiovascular diagnosis tasks. Due to inter-observer variability
in echo-based diagnosis, which arises from the variability in echo image
acquisition and the interpretation of echo images based on clinical experience,
vision-ba... | [
{
"created": "Fri, 25 Aug 2023 07:30:18 GMT",
"version": "v1"
}
] | 2023-08-28 | [
[
"Mokhtari",
"Masoud",
""
],
[
"Ahmadi",
"Neda",
""
],
[
"Tsang",
"Teresa S. M.",
""
],
[
"Abolmaesumi",
"Purang",
""
],
[
"Liao",
"Renjie",
""
]
] | Echocardiography (echo) is an ultrasound imaging modality that is widely used for various cardiovascular diagnosis tasks. Due to inter-observer variability in echo-based diagnosis, which arises from the variability in echo image acquisition and the interpretation of echo images based on clinical experience, vision-base... |
1908.04911 | Nicolas Christianson | Nicolas H. Christianson, Ann Sizemore Blevins, Danielle S. Bassett | Architecture and evolution of semantic networks in mathematics texts | 22 pages, 5 figures | null | 10.1098/rspa.2019.0741 | null | cs.CL physics.soc-ph q-bio.NC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Knowledge is a network of interconnected concepts. Yet, precisely how the
topological structure of knowledge constrains its acquisition remains unknown,
hampering the development of learning enhancement strategies. Here we study the
topological structure of semantic networks reflecting mathematical concepts and
their... | [
{
"created": "Wed, 14 Aug 2019 01:38:07 GMT",
"version": "v1"
},
{
"created": "Tue, 24 Sep 2019 22:10:22 GMT",
"version": "v2"
}
] | 2021-03-17 | [
[
"Christianson",
"Nicolas H.",
""
],
[
"Blevins",
"Ann Sizemore",
""
],
[
"Bassett",
"Danielle S.",
""
]
] | Knowledge is a network of interconnected concepts. Yet, precisely how the topological structure of knowledge constrains its acquisition remains unknown, hampering the development of learning enhancement strategies. Here we study the topological structure of semantic networks reflecting mathematical concepts and their r... |
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