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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2305.05738 | Chia-Hao Li | Chia-Hao Li and Niraj K. Jha | DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on
Wearable Medical Sensors | 39 pages, 14 figures. This work has been submitted to the ACM for
possible publication. Copyright may be transferred without notice, after
which this version may no longer be accessible | null | null | null | cs.LG cs.HC eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern advances in machine learning (ML) and wearable medical sensors (WMSs)
in edge devices have enabled ML-driven disease detection for smart healthcare.
Conventional ML-driven methods for disease detection rely on customizing
individual models for each disease and its corresponding WMS data. However,
such methods ... | [
{
"created": "Tue, 9 May 2023 19:33:17 GMT",
"version": "v1"
},
{
"created": "Tue, 8 Aug 2023 20:23:37 GMT",
"version": "v2"
},
{
"created": "Thu, 12 Oct 2023 20:45:38 GMT",
"version": "v3"
},
{
"created": "Wed, 6 Mar 2024 20:56:06 GMT",
"version": "v4"
},
{
"crea... | 2024-06-21 | [
[
"Li",
"Chia-Hao",
""
],
[
"Jha",
"Niraj K.",
""
]
] | Modern advances in machine learning (ML) and wearable medical sensors (WMSs) in edge devices have enabled ML-driven disease detection for smart healthcare. Conventional ML-driven methods for disease detection rely on customizing individual models for each disease and its corresponding WMS data. However, such methods la... |
2105.13777 | Minghui Yang | Qiuyue Liu, Shiyuan Qiang, Minghui Yang, and Keqin Feng | Linear Complexity of Binary Interleaved Sequences of Period 4n | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Binary periodic sequences with good autocorrelation property have many
applications in many aspects of communication. In past decades many series of
such binary sequences have been constructed. In the application of
cryptography, such binary sequences are required to have larger linear
complexity. Tang and Ding \cite... | [
{
"created": "Fri, 28 May 2021 12:30:09 GMT",
"version": "v1"
}
] | 2021-05-31 | [
[
"Liu",
"Qiuyue",
""
],
[
"Qiang",
"Shiyuan",
""
],
[
"Yang",
"Minghui",
""
],
[
"Feng",
"Keqin",
""
]
] | Binary periodic sequences with good autocorrelation property have many applications in many aspects of communication. In past decades many series of such binary sequences have been constructed. In the application of cryptography, such binary sequences are required to have larger linear complexity. Tang and Ding \cite{X... |
2309.10280 | Forsad Al Hossain | Forsad Al Hossain, Tanjid Hasan Tonmoy, Andrew A. Lover, George A.
Corey, Mohammad Arif Ul Alam, Tauhidur Rahman | Crowdotic: A Privacy-Preserving Hospital Waiting Room Crowd Density
Estimation with Non-speech Audio | null | null | null | null | cs.SD cs.CR cs.LG eess.AS | http://creativecommons.org/licenses/by/4.0/ | Privacy-preserving crowd density analysis finds application across a wide
range of scenarios, substantially enhancing smart building operation and
management while upholding privacy expectations in various spaces. We propose a
non-speech audio-based approach for crowd analytics, leveraging a
transformer-based model. ... | [
{
"created": "Tue, 19 Sep 2023 03:08:20 GMT",
"version": "v1"
},
{
"created": "Wed, 20 Sep 2023 23:45:05 GMT",
"version": "v2"
}
] | 2023-09-22 | [
[
"Hossain",
"Forsad Al",
""
],
[
"Tonmoy",
"Tanjid Hasan",
""
],
[
"Lover",
"Andrew A.",
""
],
[
"Corey",
"George A.",
""
],
[
"Alam",
"Mohammad Arif Ul",
""
],
[
"Rahman",
"Tauhidur",
""
]
] | Privacy-preserving crowd density analysis finds application across a wide range of scenarios, substantially enhancing smart building operation and management while upholding privacy expectations in various spaces. We propose a non-speech audio-based approach for crowd analytics, leveraging a transformer-based model. Ou... |
2304.04276 | Yehonatan Fridman | Yehonatan Fridman, Guy Tamir, Gal Oren | Portability and Scalability of OpenMP Offloading on State-of-the-art
Accelerators | 13 pages, 5 Figures, 5 Tables | null | null | null | cs.DC | http://creativecommons.org/licenses/by/4.0/ | Over the last decade, most of the increase in computing power has been gained
by advances in accelerated many-core architectures, mainly in the form of
GPGPUs. While accelerators achieve phenomenal performances in various computing
tasks, their utilization requires code adaptations and transformations. Thus,
OpenMP, ... | [
{
"created": "Sun, 9 Apr 2023 16:40:20 GMT",
"version": "v1"
},
{
"created": "Sun, 14 May 2023 04:47:18 GMT",
"version": "v2"
}
] | 2023-05-16 | [
[
"Fridman",
"Yehonatan",
""
],
[
"Tamir",
"Guy",
""
],
[
"Oren",
"Gal",
""
]
] | Over the last decade, most of the increase in computing power has been gained by advances in accelerated many-core architectures, mainly in the form of GPGPUs. While accelerators achieve phenomenal performances in various computing tasks, their utilization requires code adaptations and transformations. Thus, OpenMP, th... |
2303.16113 | Lili Chen | Lili Chen, Jingge Zhu, Jamie Evans | Graph Neural Networks for Power Allocation in Wireless Networks with
Full Duplex Nodes | Published in 2023 IEEE International Conference on Communications
Workshops (ICC Workshops) | ICC Workshops (2023) 277-282 | 10.1109/ICCWorkshops57953.2023.10283511 | null | cs.NI cs.IT cs.LG eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Due to mutual interference between users, power allocation problems in
wireless networks are often non-convex and computationally challenging. Graph
neural networks (GNNs) have recently emerged as a promising approach to
tackling these problems and an approach that exploits the underlying topology
of wireless network... | [
{
"created": "Mon, 27 Mar 2023 10:59:09 GMT",
"version": "v1"
},
{
"created": "Mon, 8 Jan 2024 03:07:28 GMT",
"version": "v2"
}
] | 2024-01-09 | [
[
"Chen",
"Lili",
""
],
[
"Zhu",
"Jingge",
""
],
[
"Evans",
"Jamie",
""
]
] | Due to mutual interference between users, power allocation problems in wireless networks are often non-convex and computationally challenging. Graph neural networks (GNNs) have recently emerged as a promising approach to tackling these problems and an approach that exploits the underlying topology of wireless networks.... |
2105.10223 | Andre Rodrigues | Andr\'e Rodrigues, Andr\'e Santos, Kyle Montague, Hugo Nicolau and
Tiago Guerreiro | WildKey: A Privacy-Aware Keyboard Toolkit for Data Collection
In-The-Wild | 12 pages, 3 figures | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Touch data, and in particular text-entry data, has been mostly collected in
the laboratory, under controlled conditions. While touch and text-entry data
have consistently shown its potential for monitoring and detecting a variety of
conditions and impairments, its deployment in-the-wild remains a challenge. In
this p... | [
{
"created": "Fri, 21 May 2021 09:22:09 GMT",
"version": "v1"
}
] | 2021-05-24 | [
[
"Rodrigues",
"André",
""
],
[
"Santos",
"André",
""
],
[
"Montague",
"Kyle",
""
],
[
"Nicolau",
"Hugo",
""
],
[
"Guerreiro",
"Tiago",
""
]
] | Touch data, and in particular text-entry data, has been mostly collected in the laboratory, under controlled conditions. While touch and text-entry data have consistently shown its potential for monitoring and detecting a variety of conditions and impairments, its deployment in-the-wild remains a challenge. In this pap... |
2407.05446 | Urvashi Kishnani | Urvashi Kishnani, Isabella Cardenas, Jailene Castillo, Rosalyn Conry,
Lukas Rodwin, Rika Ruiz, Matthew Walther and Sanchari Das | Towards Perceived Security, Perceived Privacy, and the Universal Design
of E-Payment Applications | null | null | null | null | cs.HC cs.CR | http://creativecommons.org/licenses/by/4.0/ | With the growth of digital monetary transactions and cashless payments,
encouraged by the COVID-19 pandemic, use of e-payment applications is on the
rise. It is thus imperative to understand and evaluate the current posture of
e-payment applications from three major user-facing angles: security, privacy,
and usabilit... | [
{
"created": "Sun, 7 Jul 2024 17:15:09 GMT",
"version": "v1"
}
] | 2024-07-09 | [
[
"Kishnani",
"Urvashi",
""
],
[
"Cardenas",
"Isabella",
""
],
[
"Castillo",
"Jailene",
""
],
[
"Conry",
"Rosalyn",
""
],
[
"Rodwin",
"Lukas",
""
],
[
"Ruiz",
"Rika",
""
],
[
"Walther",
"Matthew",
""
],
[... | With the growth of digital monetary transactions and cashless payments, encouraged by the COVID-19 pandemic, use of e-payment applications is on the rise. It is thus imperative to understand and evaluate the current posture of e-payment applications from three major user-facing angles: security, privacy, and usability.... |
2304.09748 | Kangyeol Kim | Kangyeol Kim, Sunghyun Park, Junsoo Lee, Jaegul Choo | Reference-based Image Composition with Sketch via Structure-aware
Diffusion Model | 7 pages; Code URL: https://github.com/kangyeolk/Paint-by-Sketch | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Recent remarkable improvements in large-scale text-to-image generative models
have shown promising results in generating high-fidelity images. To further
enhance editability and enable fine-grained generation, we introduce a
multi-input-conditioned image composition model that incorporates a sketch as a
novel modal, ... | [
{
"created": "Fri, 31 Mar 2023 06:12:58 GMT",
"version": "v1"
}
] | 2023-04-20 | [
[
"Kim",
"Kangyeol",
""
],
[
"Park",
"Sunghyun",
""
],
[
"Lee",
"Junsoo",
""
],
[
"Choo",
"Jaegul",
""
]
] | Recent remarkable improvements in large-scale text-to-image generative models have shown promising results in generating high-fidelity images. To further enhance editability and enable fine-grained generation, we introduce a multi-input-conditioned image composition model that incorporates a sketch as a novel modal, al... |
2407.17756 | Ananna Biswas | Ananna Biswas, Hongyu An | Preliminary Results of Neuromorphic Controller Design and a Parkinson's
Disease Dataset Building for Closed-Loop Deep Brain Stimulation | null | null | null | null | cs.NE q-bio.NC | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Parkinson's Disease afflicts millions of individuals globally. Emerging as a
promising brain rehabilitation therapy for Parkinson's Disease, Closed-loop
Deep Brain Stimulation (CL-DBS) aims to alleviate motor symptoms. The CL-DBS
system comprises an implanted battery-powered medical device in the chest that
sends sti... | [
{
"created": "Thu, 25 Jul 2024 04:10:15 GMT",
"version": "v1"
}
] | 2024-07-26 | [
[
"Biswas",
"Ananna",
""
],
[
"An",
"Hongyu",
""
]
] | Parkinson's Disease afflicts millions of individuals globally. Emerging as a promising brain rehabilitation therapy for Parkinson's Disease, Closed-loop Deep Brain Stimulation (CL-DBS) aims to alleviate motor symptoms. The CL-DBS system comprises an implanted battery-powered medical device in the chest that sends stimu... |
2104.07960 | Roman Seidel | Roman Seidel, Andr\'e Apitzsch, Gangolf Hirtz | OmniFlow: Human Omnidirectional Optical Flow | CVPRW 2021: The Second OmniCV Workshop: Omnidirectional Computer
Vision in Research and Industry | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Optical flow is the motion of a pixel between at least two consecutive video
frames and can be estimated through an end-to-end trainable convolutional
neural network. To this end, large training datasets are required to improve
the accuracy of optical flow estimation. Our paper presents OmniFlow: a new
synthetic omni... | [
{
"created": "Fri, 16 Apr 2021 08:25:20 GMT",
"version": "v1"
}
] | 2021-04-19 | [
[
"Seidel",
"Roman",
""
],
[
"Apitzsch",
"André",
""
],
[
"Hirtz",
"Gangolf",
""
]
] | Optical flow is the motion of a pixel between at least two consecutive video frames and can be estimated through an end-to-end trainable convolutional neural network. To this end, large training datasets are required to improve the accuracy of optical flow estimation. Our paper presents OmniFlow: a new synthetic omnidi... |
2010.07494 | Zhiyuan Xu | Zhiyuan Xu, Kun Wu, Zhengping Che, Jian Tang, Jieping Ye | Knowledge Transfer in Multi-Task Deep Reinforcement Learning for
Continuous Control | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While Deep Reinforcement Learning (DRL) has emerged as a promising approach
to many complex tasks, it remains challenging to train a single DRL agent that
is capable of undertaking multiple different continuous control tasks. In this
paper, we present a Knowledge Transfer based Multi-task Deep Reinforcement
Learning ... | [
{
"created": "Thu, 15 Oct 2020 03:26:47 GMT",
"version": "v1"
},
{
"created": "Fri, 16 Oct 2020 14:34:32 GMT",
"version": "v2"
}
] | 2020-10-19 | [
[
"Xu",
"Zhiyuan",
""
],
[
"Wu",
"Kun",
""
],
[
"Che",
"Zhengping",
""
],
[
"Tang",
"Jian",
""
],
[
"Ye",
"Jieping",
""
]
] | While Deep Reinforcement Learning (DRL) has emerged as a promising approach to many complex tasks, it remains challenging to train a single DRL agent that is capable of undertaking multiple different continuous control tasks. In this paper, we present a Knowledge Transfer based Multi-task Deep Reinforcement Learning fr... |
2206.00484 | Pierre Schumacher | Pierre Schumacher, Daniel H\"aufle, Dieter B\"uchler, Syn Schmitt,
Georg Martius | DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated
and Musculoskeletal Systems | null | null | null | null | cs.RO cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Muscle-actuated organisms are capable of learning an unparalleled diversity
of dexterous movements despite their vast amount of muscles. Reinforcement
learning (RL) on large musculoskeletal models, however, has not been able to
show similar performance. We conjecture that ineffective exploration in large
overactuated... | [
{
"created": "Mon, 30 May 2022 15:52:54 GMT",
"version": "v1"
},
{
"created": "Thu, 27 Apr 2023 12:53:39 GMT",
"version": "v2"
}
] | 2023-04-28 | [
[
"Schumacher",
"Pierre",
""
],
[
"Häufle",
"Daniel",
""
],
[
"Büchler",
"Dieter",
""
],
[
"Schmitt",
"Syn",
""
],
[
"Martius",
"Georg",
""
]
] | Muscle-actuated organisms are capable of learning an unparalleled diversity of dexterous movements despite their vast amount of muscles. Reinforcement learning (RL) on large musculoskeletal models, however, has not been able to show similar performance. We conjecture that ineffective exploration in large overactuated a... |
2006.11108 | Kai Dresia | G\"unther Waxenegger-Wilfing, Kai Dresia, Jan Christian Deeken,
Michael Oschwald | A Reinforcement Learning Approach for Transient Control of Liquid Rocket
Engines | null | null | 10.1109/TAES.2021.3074134 | null | cs.LG cs.SY eess.SY math.OC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Nowadays, liquid rocket engines use closed-loop control at most near steady
operating conditions. The control of the transient phases is traditionally
performed in open-loop due to highly nonlinear system dynamics. This situation
is unsatisfactory, in particular for reusable engines. The open-loop control
system cann... | [
{
"created": "Fri, 19 Jun 2020 12:50:18 GMT",
"version": "v1"
}
] | 2021-05-27 | [
[
"Waxenegger-Wilfing",
"Günther",
""
],
[
"Dresia",
"Kai",
""
],
[
"Deeken",
"Jan Christian",
""
],
[
"Oschwald",
"Michael",
""
]
] | Nowadays, liquid rocket engines use closed-loop control at most near steady operating conditions. The control of the transient phases is traditionally performed in open-loop due to highly nonlinear system dynamics. This situation is unsatisfactory, in particular for reusable engines. The open-loop control system cannot... |
2305.01400 | Gabriel Dulac-Arnold | Geoffrey Cideron, Baruch Tabanpour, Sebastian Curi, Sertan Girgin,
Leonard Hussenot, Gabriel Dulac-Arnold, Matthieu Geist, Olivier Pietquin,
Robert Dadashi | Get Back Here: Robust Imitation by Return-to-Distribution Planning | null | null | null | null | cs.RO cs.AI cs.LG cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | We consider the Imitation Learning (IL) setup where expert data are not
collected on the actual deployment environment but on a different version. To
address the resulting distribution shift, we combine behavior cloning (BC) with
a planner that is tasked to bring the agent back to states visited by the
expert wheneve... | [
{
"created": "Tue, 2 May 2023 13:19:08 GMT",
"version": "v1"
}
] | 2023-05-03 | [
[
"Cideron",
"Geoffrey",
""
],
[
"Tabanpour",
"Baruch",
""
],
[
"Curi",
"Sebastian",
""
],
[
"Girgin",
"Sertan",
""
],
[
"Hussenot",
"Leonard",
""
],
[
"Dulac-Arnold",
"Gabriel",
""
],
[
"Geist",
"Matthieu",
... | We consider the Imitation Learning (IL) setup where expert data are not collected on the actual deployment environment but on a different version. To address the resulting distribution shift, we combine behavior cloning (BC) with a planner that is tasked to bring the agent back to states visited by the expert whenever ... |
2306.05276 | Enrico Santus | Simone Scaboro, Beatrice Portellia, Emmanuele Chersoni, Enrico Santus,
Giuseppe Serra | Extensive Evaluation of Transformer-based Architectures for Adverse Drug
Events Extraction | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Adverse Event (ADE) extraction is one of the core tasks in digital
pharmacovigilance, especially when applied to informal texts. This task has
been addressed by the Natural Language Processing community using large
pre-trained language models, such as BERT. Despite the great number of
Transformer-based architectures ... | [
{
"created": "Thu, 8 Jun 2023 15:25:24 GMT",
"version": "v1"
}
] | 2023-06-09 | [
[
"Scaboro",
"Simone",
""
],
[
"Portellia",
"Beatrice",
""
],
[
"Chersoni",
"Emmanuele",
""
],
[
"Santus",
"Enrico",
""
],
[
"Serra",
"Giuseppe",
""
]
] | Adverse Event (ADE) extraction is one of the core tasks in digital pharmacovigilance, especially when applied to informal texts. This task has been addressed by the Natural Language Processing community using large pre-trained language models, such as BERT. Despite the great number of Transformer-based architectures us... |
1905.01077 | Ting Yao | Jingwen Chen, Yingwei Pan, Yehao Li, Ting Yao, Hongyang Chao, Tao Mei | Temporal Deformable Convolutional Encoder-Decoder Networks for Video
Captioning | AAAI 2019 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | It is well believed that video captioning is a fundamental but challenging
task in both computer vision and artificial intelligence fields. The prevalent
approach is to map an input video to a variable-length output sentence in a
sequence to sequence manner via Recurrent Neural Network (RNN). Nevertheless,
the traini... | [
{
"created": "Fri, 3 May 2019 08:59:10 GMT",
"version": "v1"
}
] | 2019-05-06 | [
[
"Chen",
"Jingwen",
""
],
[
"Pan",
"Yingwei",
""
],
[
"Li",
"Yehao",
""
],
[
"Yao",
"Ting",
""
],
[
"Chao",
"Hongyang",
""
],
[
"Mei",
"Tao",
""
]
] | It is well believed that video captioning is a fundamental but challenging task in both computer vision and artificial intelligence fields. The prevalent approach is to map an input video to a variable-length output sentence in a sequence to sequence manner via Recurrent Neural Network (RNN). Nevertheless, the training... |
1411.3698 | Qingqing Huang | Qingqing Huang, Rong Ge, Sham Kakade, Munther Dahleh | Minimal Realization Problems for Hidden Markov Models | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Consider a stationary discrete random process with alphabet size d, which is
assumed to be the output process of an unknown stationary Hidden Markov Model
(HMM). Given the joint probabilities of finite length strings of the process,
we are interested in finding a finite state generative model to describe the
entire p... | [
{
"created": "Thu, 13 Nov 2014 20:30:06 GMT",
"version": "v1"
},
{
"created": "Mon, 14 Dec 2015 19:48:40 GMT",
"version": "v2"
}
] | 2015-12-15 | [
[
"Huang",
"Qingqing",
""
],
[
"Ge",
"Rong",
""
],
[
"Kakade",
"Sham",
""
],
[
"Dahleh",
"Munther",
""
]
] | Consider a stationary discrete random process with alphabet size d, which is assumed to be the output process of an unknown stationary Hidden Markov Model (HMM). Given the joint probabilities of finite length strings of the process, we are interested in finding a finite state generative model to describe the entire pro... |
2312.08602 | Mateo Perez | Ernst Moritz Hahn, Mateo Perez, Sven Schewe, Fabio Somenzi, Ashutosh
Trivedi, Dominik Wojtczak | Omega-Regular Decision Processes | null | null | null | null | cs.LO cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Regular decision processes (RDPs) are a subclass of non-Markovian decision
processes where the transition and reward functions are guarded by some regular
property of the past (a lookback). While RDPs enable intuitive and succinct
representation of non-Markovian decision processes, their expressive power
coincides wi... | [
{
"created": "Thu, 14 Dec 2023 01:58:51 GMT",
"version": "v1"
}
] | 2023-12-15 | [
[
"Hahn",
"Ernst Moritz",
""
],
[
"Perez",
"Mateo",
""
],
[
"Schewe",
"Sven",
""
],
[
"Somenzi",
"Fabio",
""
],
[
"Trivedi",
"Ashutosh",
""
],
[
"Wojtczak",
"Dominik",
""
]
] | Regular decision processes (RDPs) are a subclass of non-Markovian decision processes where the transition and reward functions are guarded by some regular property of the past (a lookback). While RDPs enable intuitive and succinct representation of non-Markovian decision processes, their expressive power coincides with... |
2102.10476 | Rachitesh Kumar | Santiago Balseiro, Christian Kroer, Rachitesh Kumar | Contextual Standard Auctions with Budgets: Revenue Equivalence and
Efficiency Guarantees | null | null | null | null | cs.GT econ.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The internet advertising market is a multi-billion dollar industry, in which
advertisers buy thousands of ad placements every day by repeatedly
participating in auctions. An important and ubiquitous feature of these
auctions is the presence of campaign budgets, which specify the maximum amount
the advertisers are wil... | [
{
"created": "Sat, 20 Feb 2021 23:41:25 GMT",
"version": "v1"
},
{
"created": "Wed, 11 May 2022 04:34:45 GMT",
"version": "v2"
},
{
"created": "Sun, 9 Oct 2022 15:52:47 GMT",
"version": "v3"
}
] | 2022-10-11 | [
[
"Balseiro",
"Santiago",
""
],
[
"Kroer",
"Christian",
""
],
[
"Kumar",
"Rachitesh",
""
]
] | The internet advertising market is a multi-billion dollar industry, in which advertisers buy thousands of ad placements every day by repeatedly participating in auctions. An important and ubiquitous feature of these auctions is the presence of campaign budgets, which specify the maximum amount the advertisers are willi... |
2304.04672 | Jizhizi Li | Jizhizi Li, Jing Zhang, Dacheng Tao | Deep Image Matting: A Comprehensive Survey | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Image matting refers to extracting precise alpha matte from natural images,
and it plays a critical role in various downstream applications, such as image
editing. Despite being an ill-posed problem, traditional methods have been
trying to solve it for decades. The emergence of deep learning has
revolutionized the fi... | [
{
"created": "Mon, 10 Apr 2023 15:48:55 GMT",
"version": "v1"
}
] | 2023-04-11 | [
[
"Li",
"Jizhizi",
""
],
[
"Zhang",
"Jing",
""
],
[
"Tao",
"Dacheng",
""
]
] | Image matting refers to extracting precise alpha matte from natural images, and it plays a critical role in various downstream applications, such as image editing. Despite being an ill-posed problem, traditional methods have been trying to solve it for decades. The emergence of deep learning has revolutionized the fiel... |
2002.12441 | Heytem Zitoun | Heytem Zitoun, Claude Michel, Laurent Michel, Michel Rueher | An efficient constraint based framework forhandling floating point SMT
problems | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper introduces the 2019 version of \us{}, a novel Constraint
Programming framework for floating point verification problems expressed with
the SMT language of SMTLIB. SMT solvers decompose their task by delegating to
specific theories (e.g., floating point, bit vectors, arrays, ...) the task to
reason about co... | [
{
"created": "Thu, 27 Feb 2020 21:11:22 GMT",
"version": "v1"
}
] | 2020-03-02 | [
[
"Zitoun",
"Heytem",
""
],
[
"Michel",
"Claude",
""
],
[
"Michel",
"Laurent",
""
],
[
"Rueher",
"Michel",
""
]
] | This paper introduces the 2019 version of \us{}, a novel Constraint Programming framework for floating point verification problems expressed with the SMT language of SMTLIB. SMT solvers decompose their task by delegating to specific theories (e.g., floating point, bit vectors, arrays, ...) the task to reason about comb... |
1803.09288 | Austin Kozlowski | Austin C. Kozlowski, Matt Taddy, James A. Evans | The Geometry of Culture: Analyzing Meaning through Word Embeddings | null | American Sociological Review 2019, Vol. 84(5) 905-949 | 10.1177/0003122419877135 | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We demonstrate the utility of a new methodological tool, neural-network word
embedding models, for large-scale text analysis, revealing how these models
produce richer insights into cultural associations and categories than possible
with prior methods. Word embeddings represent semantic relations between words
as geo... | [
{
"created": "Sun, 25 Mar 2018 16:08:06 GMT",
"version": "v1"
}
] | 2019-11-13 | [
[
"Kozlowski",
"Austin C.",
""
],
[
"Taddy",
"Matt",
""
],
[
"Evans",
"James A.",
""
]
] | We demonstrate the utility of a new methodological tool, neural-network word embedding models, for large-scale text analysis, revealing how these models produce richer insights into cultural associations and categories than possible with prior methods. Word embeddings represent semantic relations between words as geome... |
2405.17369 | Amin Ahmadi Kasani | Amin Ahmadi Kasani, Hedieh Sajedi | Predict joint angle of body parts based on sequence pattern recognition | null | 2022 16th International Conference on Ubiquitous Information
Management and Communication (IMCOM) | 10.1109/IMCOM53663.2022.9721801 | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The way organs are positioned and moved in the workplace can cause pain and
physical harm. Therefore, ergonomists use ergonomic risk assessments based on
visual observation of the workplace, or review pictures and videos taken in the
workplace. Sometimes the workers in the photos are not in perfect condition.
Some pa... | [
{
"created": "Mon, 27 May 2024 17:24:11 GMT",
"version": "v1"
}
] | 2024-05-28 | [
[
"Kasani",
"Amin Ahmadi",
""
],
[
"Sajedi",
"Hedieh",
""
]
] | The way organs are positioned and moved in the workplace can cause pain and physical harm. Therefore, ergonomists use ergonomic risk assessments based on visual observation of the workplace, or review pictures and videos taken in the workplace. Sometimes the workers in the photos are not in perfect condition. Some part... |
1002.2409 | Rdv Ijcsis | Rashid Sheikh, Beerendra Kumar, Durgesh Kumar Mishra | Changing Neighbors k Secure Sum Protocol for Secure Multi Party
Computation | IEEE format, International Journal of Computer Science and
Information Security, IJCSIS January 2010, ISSN 1947 5500,
http://sites.google.com/site/ijcsis/ | International Journal of Computer Science and Information
Security, IJCSIS, Vol. 7, No. 1, pp. 239-243, January 2010, USA | null | Journal of Computer Science, ISSN 1947 5500 | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Secure sum computation of private data inputs is an important component of
Secure Multi party Computation (SMC).In this paper we provide a protocol to
compute the sum of individual data inputs with zero probability of data
leakage. In our proposed protocol we break input of each party into number of
segments and chan... | [
{
"created": "Thu, 11 Feb 2010 19:58:10 GMT",
"version": "v1"
}
] | 2010-02-12 | [
[
"Sheikh",
"Rashid",
""
],
[
"Kumar",
"Beerendra",
""
],
[
"Mishra",
"Durgesh Kumar",
""
]
] | Secure sum computation of private data inputs is an important component of Secure Multi party Computation (SMC).In this paper we provide a protocol to compute the sum of individual data inputs with zero probability of data leakage. In our proposed protocol we break input of each party into number of segments and change... |
2009.10050 | Alan Lundgard | Alan Lundgard | Measuring justice in machine learning | Presented at the ACM Conference on Fairness, Accountability, and
Transparency (30 January 2020) and at the ACM SIGACCESS Conference on
Computers and Accessibility: Workshop on AI Fairness for People with
Disabilities (27 October 2019). Version v2: typos and formatting corrected | null | 10.1145/3351095.3372838 | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | How can we build more just machine learning systems? To answer this question,
we need to know both what justice is and how to tell whether one system is more
or less just than another. That is, we need both a definition and a measure of
justice. Theories of distributive justice hold that justice can be measured (in
p... | [
{
"created": "Mon, 21 Sep 2020 17:46:11 GMT",
"version": "v1"
},
{
"created": "Wed, 30 Sep 2020 16:52:42 GMT",
"version": "v2"
}
] | 2020-10-01 | [
[
"Lundgard",
"Alan",
""
]
] | How can we build more just machine learning systems? To answer this question, we need to know both what justice is and how to tell whether one system is more or less just than another. That is, we need both a definition and a measure of justice. Theories of distributive justice hold that justice can be measured (in par... |
2404.19486 | Mariia Ignashina | Mariia Ignashina, Julia Ive | Safe Training with Sensitive In-domain Data: Leveraging Data
Fragmentation To Mitigate Linkage Attacks | null | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | Current text generation models are trained using real data which can
potentially contain sensitive information, such as confidential patient
information and the like. Under certain conditions output of the training data
which they have memorised can be triggered, exposing sensitive data. To
mitigate against this risk... | [
{
"created": "Tue, 30 Apr 2024 12:09:55 GMT",
"version": "v1"
}
] | 2024-05-01 | [
[
"Ignashina",
"Mariia",
""
],
[
"Ive",
"Julia",
""
]
] | Current text generation models are trained using real data which can potentially contain sensitive information, such as confidential patient information and the like. Under certain conditions output of the training data which they have memorised can be triggered, exposing sensitive data. To mitigate against this risk w... |
2311.02428 | Rajas Chitale | Rajas Chitale, Ankit Vaidya, Aditya Kane, Archana Ghotkar | Task Arithmetic with LoRA for Continual Learning | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Continual learning refers to the problem where the training data is available
in sequential chunks, termed "tasks". The majority of progress in continual
learning has been stunted by the problem of catastrophic forgetting, which is
caused by sequential training of the model on streams of data. Moreover, it
becomes co... | [
{
"created": "Sat, 4 Nov 2023 15:12:24 GMT",
"version": "v1"
}
] | 2023-11-07 | [
[
"Chitale",
"Rajas",
""
],
[
"Vaidya",
"Ankit",
""
],
[
"Kane",
"Aditya",
""
],
[
"Ghotkar",
"Archana",
""
]
] | Continual learning refers to the problem where the training data is available in sequential chunks, termed "tasks". The majority of progress in continual learning has been stunted by the problem of catastrophic forgetting, which is caused by sequential training of the model on streams of data. Moreover, it becomes comp... |
2112.05019 | Javier Garcia-Bernardo | Javier Garcia-Bernardo, Joost Witteman, Marilou Vlaanderen | Uncovering the Size of the Illegal Corporate Service Provider Industry
in the Netherlands: a Network Approach | null | null | 10.1140/epjds/s13688-022-00334-w | null | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Economic crimes such as money laundering, terrorism financing, tax evasion or
corruption almost invariably involve the use of a corporate entity. Such
entities are regularly incorporated and managed by corporate services providers
(CSPs). Given this potential for enabling economic crime, the CSP industry in
the Nethe... | [
{
"created": "Thu, 9 Dec 2021 16:27:00 GMT",
"version": "v1"
},
{
"created": "Sun, 13 Mar 2022 18:46:28 GMT",
"version": "v2"
}
] | 2022-04-28 | [
[
"Garcia-Bernardo",
"Javier",
""
],
[
"Witteman",
"Joost",
""
],
[
"Vlaanderen",
"Marilou",
""
]
] | Economic crimes such as money laundering, terrorism financing, tax evasion or corruption almost invariably involve the use of a corporate entity. Such entities are regularly incorporated and managed by corporate services providers (CSPs). Given this potential for enabling economic crime, the CSP industry in the Netherl... |
1510.08963 | Yusuke Hioka | Yusuke Hioka, Kenta Niwa | PSD estimation in Beamspace for Estimating Direct-to-Reverberant Ratio
from A Reverberant Speech Signal | In Proceedings of the ACE Challenge Workshop - a satellite event of
IEEE-WASPAA2015 (arXiv:1510.00383) | null | null | ACEChallenge/2015/04 | cs.SD | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A method for estimation of direct-to-reverberant ratio (DRR) using a
microphone array is proposed. The proposed method estimates the power spectral
density (PSD) of the direct sound and the reverberation using the algorithm
\textit{PSD estimation in beamspace} with a microphone array and calculates the
DRR of the obs... | [
{
"created": "Fri, 30 Oct 2015 03:45:41 GMT",
"version": "v1"
}
] | 2015-11-02 | [
[
"Hioka",
"Yusuke",
""
],
[
"Niwa",
"Kenta",
""
]
] | A method for estimation of direct-to-reverberant ratio (DRR) using a microphone array is proposed. The proposed method estimates the power spectral density (PSD) of the direct sound and the reverberation using the algorithm \textit{PSD estimation in beamspace} with a microphone array and calculates the DRR of the obser... |
2201.03545 | Saining Xie | Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor
Darrell and Saining Xie | A ConvNet for the 2020s | CVPR 2022; Code: https://github.com/facebookresearch/ConvNeXt | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | The "Roaring 20s" of visual recognition began with the introduction of Vision
Transformers (ViTs), which quickly superseded ConvNets as the state-of-the-art
image classification model. A vanilla ViT, on the other hand, faces
difficulties when applied to general computer vision tasks such as object
detection and seman... | [
{
"created": "Mon, 10 Jan 2022 18:59:10 GMT",
"version": "v1"
},
{
"created": "Wed, 2 Mar 2022 15:08:16 GMT",
"version": "v2"
}
] | 2022-03-03 | [
[
"Liu",
"Zhuang",
""
],
[
"Mao",
"Hanzi",
""
],
[
"Wu",
"Chao-Yuan",
""
],
[
"Feichtenhofer",
"Christoph",
""
],
[
"Darrell",
"Trevor",
""
],
[
"Xie",
"Saining",
""
]
] | The "Roaring 20s" of visual recognition began with the introduction of Vision Transformers (ViTs), which quickly superseded ConvNets as the state-of-the-art image classification model. A vanilla ViT, on the other hand, faces difficulties when applied to general computer vision tasks such as object detection and semanti... |
1905.11070 | Thodoris Sotiropoulos | Thodoris Sotiropoulos, Dimitris Mitropoulos, Diomidis Spinellis | Detecting Missing Dependencies and Notifiers in Puppet Programs | null | null | 10.5281/zenodo.4039061 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Puppet is a popular computer system configuration management tool. It
provides abstractions that enable administrators to setup their computer
systems declaratively. Its use suffers from two potential pitfalls. First, if
ordering constraints are not specified whenever an abstraction depends on
another, the non-determ... | [
{
"created": "Mon, 27 May 2019 09:18:38 GMT",
"version": "v1"
}
] | 2023-12-05 | [
[
"Sotiropoulos",
"Thodoris",
""
],
[
"Mitropoulos",
"Dimitris",
""
],
[
"Spinellis",
"Diomidis",
""
]
] | Puppet is a popular computer system configuration management tool. It provides abstractions that enable administrators to setup their computer systems declaratively. Its use suffers from two potential pitfalls. First, if ordering constraints are not specified whenever an abstraction depends on another, the non-determin... |
2312.13537 | Hai Zhang | Hai Zhang, Chunwei Wu, Guitao Cao, Hailing Wang, Wenming Cao | HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in
Image Editing via Hypernetworks | Accepted by AAAI2024 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Editing real images authentically while also achieving cross-domain editing
remains a challenge. Recent studies have focused on converting real images into
latent codes and accomplishing image editing by manipulating these codes.
However, merely manipulating the latent codes would constrain the edited images
to the g... | [
{
"created": "Thu, 21 Dec 2023 02:39:53 GMT",
"version": "v1"
}
] | 2023-12-22 | [
[
"Zhang",
"Hai",
""
],
[
"Wu",
"Chunwei",
""
],
[
"Cao",
"Guitao",
""
],
[
"Wang",
"Hailing",
""
],
[
"Cao",
"Wenming",
""
]
] | Editing real images authentically while also achieving cross-domain editing remains a challenge. Recent studies have focused on converting real images into latent codes and accomplishing image editing by manipulating these codes. However, merely manipulating the latent codes would constrain the edited images to the gen... |
1603.04139 | Frank Nielsen | Junlin Yao and Frank Nielsen | SSSC-AM: A Unified Framework for Video Co-Segmentation by Structured
Sparse Subspace Clustering with Appearance and Motion Features | 19 pages, 6 figures, 5 tables, extend ICIP 2016 | IEEE International Conference on Image Processing (ICIP), 2016 | 10.1109/ICIP.2016.7533102 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Video co-segmentation refers to the task of jointly segmenting common objects
appearing in a given group of videos. In practice, high-dimensional data such
as videos can be conceptually thought as being drawn from a union of subspaces
corresponding to categories rather than from a smooth manifold. Therefore,
segmenti... | [
{
"created": "Mon, 14 Mar 2016 05:36:40 GMT",
"version": "v1"
},
{
"created": "Wed, 28 Sep 2016 22:05:15 GMT",
"version": "v2"
}
] | 2021-04-29 | [
[
"Yao",
"Junlin",
""
],
[
"Nielsen",
"Frank",
""
]
] | Video co-segmentation refers to the task of jointly segmenting common objects appearing in a given group of videos. In practice, high-dimensional data such as videos can be conceptually thought as being drawn from a union of subspaces corresponding to categories rather than from a smooth manifold. Therefore, segmenting... |
1702.08423 | Zhifei Zhang | Zhifei Zhang, Yang Song, Hairong Qi | Age Progression/Regression by Conditional Adversarial Autoencoder | Accepted by The IEEE Conference on Computer Vision and Pattern
Recognition (CVPR 2017) | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | "If I provide you a face image of mine (without telling you the actual age
when I took the picture) and a large amount of face images that I crawled
(containing labeled faces of different ages but not necessarily paired), can
you show me what I would look like when I am 80 or what I was like when I was
5?" The answer... | [
{
"created": "Mon, 27 Feb 2017 18:28:58 GMT",
"version": "v1"
},
{
"created": "Tue, 28 Mar 2017 20:02:15 GMT",
"version": "v2"
}
] | 2017-03-30 | [
[
"Zhang",
"Zhifei",
""
],
[
"Song",
"Yang",
""
],
[
"Qi",
"Hairong",
""
]
] | "If I provide you a face image of mine (without telling you the actual age when I took the picture) and a large amount of face images that I crawled (containing labeled faces of different ages but not necessarily paired), can you show me what I would look like when I am 80 or what I was like when I was 5?" The answer i... |
2107.00997 | Ginno Mill\'an | G. Mill\'an | An Algorithm for Flow Control in Computer Networks Based in Discrete
Control Theory | 4 pages, in Spanish, 4 figures, 1 table, IEEE Latin America
Transactions | null | null | null | cs.NI eess.SP | http://creativecommons.org/licenses/by-sa/4.0/ | Developing of an effective flow control algorithm to avoid congestion is a
hot topic in computer network society. This document gives a mathematical model
for general network at the beginning, and then discrete control theory is
proposed as a key tool to design a new flow control algorithm to avoid
congestion in the ... | [
{
"created": "Sun, 23 May 2021 21:46:46 GMT",
"version": "v1"
}
] | 2021-07-05 | [
[
"Millán",
"G.",
""
]
] | Developing of an effective flow control algorithm to avoid congestion is a hot topic in computer network society. This document gives a mathematical model for general network at the beginning, and then discrete control theory is proposed as a key tool to design a new flow control algorithm to avoid congestion in the hi... |
1907.02786 | Kenjiro Kondo | Kenjiro Kondo, Akihiko Ishikawa, Masashi Kimura | Sequence to Sequence with Attention for Influenza Prevalence Prediction
using Google Trends | 7 pages, ICCBB2019 | null | null | null | cs.LG cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Early prediction of the prevalence of influenza reduces its impact. Various
studies have been conducted to predict the number of influenza-infected people.
However, these studies are not highly accurate especially in the distant future
such as over one month. To deal with this problem, we investigate the sequence
to ... | [
{
"created": "Wed, 3 Jul 2019 08:14:05 GMT",
"version": "v1"
}
] | 2019-07-08 | [
[
"Kondo",
"Kenjiro",
""
],
[
"Ishikawa",
"Akihiko",
""
],
[
"Kimura",
"Masashi",
""
]
] | Early prediction of the prevalence of influenza reduces its impact. Various studies have been conducted to predict the number of influenza-infected people. However, these studies are not highly accurate especially in the distant future such as over one month. To deal with this problem, we investigate the sequence to se... |
cs/0310019 | Koskas Michel | Michel Koskas | A hierarchical Algorithm to Solve the Shortest Path Problem in Valued
Graphs | 18 pages, 5 figures | null | null | null | cs.DS cs.DM | null | This paper details a new algorithm to solve the shortest path problem in
valued graphs. Its complexity is $O(D \log v)$ where $D$ is the graph diameter
and $v$ its number of vertices. This complexity has to be compared to the one
of the Dijkstra's algorithm, which is $O(e\log v)$ where $e$ is the number of
edges of t... | [
{
"created": "Fri, 10 Oct 2003 18:01:25 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Koskas",
"Michel",
""
]
] | This paper details a new algorithm to solve the shortest path problem in valued graphs. Its complexity is $O(D \log v)$ where $D$ is the graph diameter and $v$ its number of vertices. This complexity has to be compared to the one of the Dijkstra's algorithm, which is $O(e\log v)$ where $e$ is the number of edges of the... |
2405.18942 | Mehran Hosseini | Linus Jeary, Tom Kuipers, Mehran Hosseini, Nicola Paoletti | Verifiably Robust Conformal Prediction | null | null | null | null | cs.LO cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Conformal Prediction (CP) is a popular uncertainty quantification method that
provides distribution-free, statistically valid prediction sets, assuming that
training and test data are exchangeable. In such a case, CP's prediction sets
are guaranteed to cover the (unknown) true test output with a user-specified
probab... | [
{
"created": "Wed, 29 May 2024 09:50:43 GMT",
"version": "v1"
},
{
"created": "Thu, 6 Jun 2024 10:43:08 GMT",
"version": "v2"
}
] | 2024-06-07 | [
[
"Jeary",
"Linus",
""
],
[
"Kuipers",
"Tom",
""
],
[
"Hosseini",
"Mehran",
""
],
[
"Paoletti",
"Nicola",
""
]
] | Conformal Prediction (CP) is a popular uncertainty quantification method that provides distribution-free, statistically valid prediction sets, assuming that training and test data are exchangeable. In such a case, CP's prediction sets are guaranteed to cover the (unknown) true test output with a user-specified probabil... |
2202.05932 | Yu Zhang | Yu Zhang, Zhihong Shen, Chieh-Han Wu, Boya Xie, Junheng Hao, Ye-Yi
Wang, Kuansan Wang, Jiawei Han | Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text
Classification | 12 pages; Accepted to WWW 2022 | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large-scale multi-label text classification (LMTC) aims to associate a
document with its relevant labels from a large candidate set. Most existing
LMTC approaches rely on massive human-annotated training data, which are often
costly to obtain and suffer from a long-tailed label distribution (i.e., many
labels occur o... | [
{
"created": "Fri, 11 Feb 2022 23:22:17 GMT",
"version": "v1"
},
{
"created": "Thu, 24 Mar 2022 22:34:41 GMT",
"version": "v2"
}
] | 2023-10-24 | [
[
"Zhang",
"Yu",
""
],
[
"Shen",
"Zhihong",
""
],
[
"Wu",
"Chieh-Han",
""
],
[
"Xie",
"Boya",
""
],
[
"Hao",
"Junheng",
""
],
[
"Wang",
"Ye-Yi",
""
],
[
"Wang",
"Kuansan",
""
],
[
"Han",
"Jiawei",... | Large-scale multi-label text classification (LMTC) aims to associate a document with its relevant labels from a large candidate set. Most existing LMTC approaches rely on massive human-annotated training data, which are often costly to obtain and suffer from a long-tailed label distribution (i.e., many labels occur onl... |
1501.04056 | Mazen Alamir Prof | Mazen Alamir | NLP Solutions as Asymptotic Values of ODE Trajectories | null | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, it is shown that the solutions of general differentiable
constrained optimization problems can be viewed as asymptotic solutions to sets
of Ordinary Differential Equations (ODEs). The construction of the ODE
associated to the optimization problem is based on an exact penalty formulation
in which the we... | [
{
"created": "Fri, 16 Jan 2015 17:16:10 GMT",
"version": "v1"
}
] | 2015-01-19 | [
[
"Alamir",
"Mazen",
""
]
] | In this paper, it is shown that the solutions of general differentiable constrained optimization problems can be viewed as asymptotic solutions to sets of Ordinary Differential Equations (ODEs). The construction of the ODE associated to the optimization problem is based on an exact penalty formulation in which the weig... |
2406.15920 | Jialang Xu | Jialang Xu, Nazir Sirajudeen, Matthew Boal, Nader Francis, Danail
Stoyanov, Evangelos Mazomenos | SEDMamba: Enhancing Selective State Space Modelling with Bottleneck
Mechanism and Fine-to-Coarse Temporal Fusion for Efficient Error Detection in
Robot-Assisted Surgery | 8 pages | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Automated detection of surgical errors can improve robotic-assisted surgery.
Despite promising progress, existing methods still face challenges in capturing
rich temporal context to establish long-term dependencies while maintaining
computational efficiency. In this paper, we propose a novel hierarchical model
named ... | [
{
"created": "Sat, 22 Jun 2024 19:20:35 GMT",
"version": "v1"
}
] | 2024-06-25 | [
[
"Xu",
"Jialang",
""
],
[
"Sirajudeen",
"Nazir",
""
],
[
"Boal",
"Matthew",
""
],
[
"Francis",
"Nader",
""
],
[
"Stoyanov",
"Danail",
""
],
[
"Mazomenos",
"Evangelos",
""
]
] | Automated detection of surgical errors can improve robotic-assisted surgery. Despite promising progress, existing methods still face challenges in capturing rich temporal context to establish long-term dependencies while maintaining computational efficiency. In this paper, we propose a novel hierarchical model named SE... |
1505.05800 | Amit Daniely | Amit Daniely | Complexity Theoretic Limitations on Learning Halfspaces | null | null | null | null | cs.CC cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of agnostically learning halfspaces which is defined by
a fixed but unknown distribution $\mathcal{D}$ on $\mathbb{Q}^n\times \{\pm
1\}$. We define $\mathrm{Err}_{\mathrm{HALF}}(\mathcal{D})$ as the least error
of a halfspace classifier for $\mathcal{D}$. A learner who can access
$\mathcal{D}$ ha... | [
{
"created": "Thu, 21 May 2015 17:30:54 GMT",
"version": "v1"
},
{
"created": "Sun, 13 Mar 2016 06:23:35 GMT",
"version": "v2"
}
] | 2016-03-15 | [
[
"Daniely",
"Amit",
""
]
] | We study the problem of agnostically learning halfspaces which is defined by a fixed but unknown distribution $\mathcal{D}$ on $\mathbb{Q}^n\times \{\pm 1\}$. We define $\mathrm{Err}_{\mathrm{HALF}}(\mathcal{D})$ as the least error of a halfspace classifier for $\mathcal{D}$. A learner who can access $\mathcal{D}$ has ... |
2402.08771 | Andrej Rode | Frederik Ritter, Andrej Rode, Laurent Schmalen | Introducing RSESS: An Open Source Enumerative Sphere Shaping
Implementation Coded in Rust | Accepted for presentation at the 13th GNU Radio conference (GRCon) | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we present an open-source implementation of the enumerative
sphere shaping (ESS) algorithm used for probabilistic constellation shaping
(PCS). PCS aims at closing the shaping gap caused by using uniformly
distributed modulation symbols in channels for which information theory shows
non-uniformly distrib... | [
{
"created": "Tue, 13 Feb 2024 20:06:16 GMT",
"version": "v1"
}
] | 2024-02-15 | [
[
"Ritter",
"Frederik",
""
],
[
"Rode",
"Andrej",
""
],
[
"Schmalen",
"Laurent",
""
]
] | In this work, we present an open-source implementation of the enumerative sphere shaping (ESS) algorithm used for probabilistic constellation shaping (PCS). PCS aims at closing the shaping gap caused by using uniformly distributed modulation symbols in channels for which information theory shows non-uniformly distribut... |
1503.03400 | Karthik Gopalakrishnan | Dhruv Chand, Karthik Gopalakrishnan, Nisha KK, Mudit Sinha, Shreya
Sriram | Get 'em Moles! : Learning Spelling and Pronunciation through an
Educational Game | null | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Get 'em Moles! is a single-player educational game inspired by the classic
arcade game Whac-A-Mole. Primarily designed for touchscreen devices, Get 'em
Moles! aims to teach English spelling and pronunciation through engaging game
play. This paper describes the game, design decisions in the form of elements
that suppo... | [
{
"created": "Wed, 11 Mar 2015 16:14:16 GMT",
"version": "v1"
},
{
"created": "Sun, 30 Aug 2015 13:33:54 GMT",
"version": "v2"
}
] | 2015-09-01 | [
[
"Chand",
"Dhruv",
""
],
[
"Gopalakrishnan",
"Karthik",
""
],
[
"KK",
"Nisha",
""
],
[
"Sinha",
"Mudit",
""
],
[
"Sriram",
"Shreya",
""
]
] | Get 'em Moles! is a single-player educational game inspired by the classic arcade game Whac-A-Mole. Primarily designed for touchscreen devices, Get 'em Moles! aims to teach English spelling and pronunciation through engaging game play. This paper describes the game, design decisions in the form of elements that support... |
cs/0607008 | Jean-Sebastien Sereni | F\'ed\'eric Havet (INRIA Sophia Antipolis), Jean-S\'ebastien Sereni
(INRIA Sophia Antipolis), Riste Skrekovski | 3-facial colouring of plane graphs | null | null | null | null | cs.DM | null | A plane graph is l-facially k-colourable if its vertices can be coloured with
k colours such that any two distinct vertices on a facial segment of length at
most l are coloured differently. We prove that every plane graph is 3-facially
11-colourable. As a consequence, we derive that every 2-connected plane graph
with... | [
{
"created": "Mon, 3 Jul 2006 06:38:48 GMT",
"version": "v1"
}
] | 2016-08-16 | [
[
"Havet",
"Fédéric",
"",
"INRIA Sophia Antipolis"
],
[
"Sereni",
"Jean-Sébastien",
"",
"INRIA Sophia Antipolis"
],
[
"Skrekovski",
"Riste",
""
]
] | A plane graph is l-facially k-colourable if its vertices can be coloured with k colours such that any two distinct vertices on a facial segment of length at most l are coloured differently. We prove that every plane graph is 3-facially 11-colourable. As a consequence, we derive that every 2-connected plane graph with m... |
2402.14201 | Mohit Garg | Mohit Garg, Debajyoti Kar, Arindam Khan | Random-Order Online Independent Set of Intervals and Hyperrectangles | 31 pages, Full version of ESA 2024 paper | null | null | null | cs.DS cs.CG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the Maximum Independent Set of Hyperrectangles problem, we are given a set
of $n$ (possibly overlapping) $d$-dimensional axis-aligned hyperrectangles, and
the goal is to find a subset of non-overlapping hyperrectangles of maximum
cardinality. For $d=1$, this corresponds to the classical Interval Scheduling
problem... | [
{
"created": "Thu, 22 Feb 2024 01:04:18 GMT",
"version": "v1"
},
{
"created": "Wed, 26 Jun 2024 18:10:53 GMT",
"version": "v2"
}
] | 2024-06-28 | [
[
"Garg",
"Mohit",
""
],
[
"Kar",
"Debajyoti",
""
],
[
"Khan",
"Arindam",
""
]
] | In the Maximum Independent Set of Hyperrectangles problem, we are given a set of $n$ (possibly overlapping) $d$-dimensional axis-aligned hyperrectangles, and the goal is to find a subset of non-overlapping hyperrectangles of maximum cardinality. For $d=1$, this corresponds to the classical Interval Scheduling problem, ... |
2103.08079 | Katie Seaborn | Katie Seaborn, Peter Pennefather, Norihisa P. Miyake, Mihoko
Otake-Matsuura | Crossing the Tepper Line: An Emerging Ontology for Describing the
Dynamic Sociality of Embodied AI | Accepted at CHI EA '21 | null | 10.1145/3411763.3451783 | null | cs.HC cs.AI cs.RO | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Artificial intelligences (AI) are increasingly being embodied and embedded in
the world to carry out tasks and support decision-making with and for people.
Robots, recommender systems, voice assistants, virtual humans - do these
disparate types of embodied AI have something in common? Here we show how they
can manife... | [
{
"created": "Mon, 15 Mar 2021 00:45:44 GMT",
"version": "v1"
}
] | 2021-03-16 | [
[
"Seaborn",
"Katie",
""
],
[
"Pennefather",
"Peter",
""
],
[
"Miyake",
"Norihisa P.",
""
],
[
"Otake-Matsuura",
"Mihoko",
""
]
] | Artificial intelligences (AI) are increasingly being embodied and embedded in the world to carry out tasks and support decision-making with and for people. Robots, recommender systems, voice assistants, virtual humans - do these disparate types of embodied AI have something in common? Here we show how they can manifest... |
2106.01808 | Natanael Spisak | Giulio Isacchini, Natanael Spisak, Armita Nourmohammad, Thierry Mora,
Aleksandra M. Walczak | MINIMALIST: Mutual INformatIon Maximization for Amortized Likelihood
Inference from Sampled Trajectories | null | null | 10.1103/PhysRevE.105.055309 | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Simulation-based inference enables learning the parameters of a model even
when its likelihood cannot be computed in practice. One class of methods uses
data simulated with different parameters to infer models of the
likelihood-to-evidence ratio, or equivalently the posterior function. Here we
frame the inference tas... | [
{
"created": "Thu, 3 Jun 2021 12:59:16 GMT",
"version": "v1"
},
{
"created": "Thu, 16 Dec 2021 15:44:20 GMT",
"version": "v2"
},
{
"created": "Fri, 8 Apr 2022 16:59:38 GMT",
"version": "v3"
}
] | 2022-06-08 | [
[
"Isacchini",
"Giulio",
""
],
[
"Spisak",
"Natanael",
""
],
[
"Nourmohammad",
"Armita",
""
],
[
"Mora",
"Thierry",
""
],
[
"Walczak",
"Aleksandra M.",
""
]
] | Simulation-based inference enables learning the parameters of a model even when its likelihood cannot be computed in practice. One class of methods uses data simulated with different parameters to infer models of the likelihood-to-evidence ratio, or equivalently the posterior function. Here we frame the inference task ... |
2206.12725 | Gavin Hartnett S | Gavin S. Hartnett, Li Ang Zhang, Caolionn O'Connell, Andrew J. Lohn,
Jair Aguirre | Empirical Evaluation of Physical Adversarial Patch Attacks Against
Overhead Object Detection Models | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Adversarial patches are images designed to fool otherwise well-performing
neural network-based computer vision models. Although these attacks were
initially conceived of and studied digitally, in that the raw pixel values of
the image were perturbed, recent work has demonstrated that these attacks can
successfully tr... | [
{
"created": "Sat, 25 Jun 2022 20:05:11 GMT",
"version": "v1"
}
] | 2022-06-28 | [
[
"Hartnett",
"Gavin S.",
""
],
[
"Zhang",
"Li Ang",
""
],
[
"O'Connell",
"Caolionn",
""
],
[
"Lohn",
"Andrew J.",
""
],
[
"Aguirre",
"Jair",
""
]
] | Adversarial patches are images designed to fool otherwise well-performing neural network-based computer vision models. Although these attacks were initially conceived of and studied digitally, in that the raw pixel values of the image were perturbed, recent work has demonstrated that these attacks can successfully tran... |
1511.03937 | Sukhamoy Pattanayak | Sukhamoy Pattanayak, Abhay Kumar Singh and Pratyush Kumar | DNA Cyclic Codes Over The Ring $ \F_2[u,v]/\langle u^2-1,v^3-v,uv-vu
\rangle$ | 17 pages, 4 Tables(Table 1 contained 2 pages). arXiv admin note:
substantial text overlap with arXiv:1508.02015; text overlap with
arXiv:1508.07113, arXiv:1505.06263 by other authors | null | null | null | cs.IT math.IT | http://creativecommons.org/publicdomain/zero/1.0/ | In this paper, we mainly study the some structure of cyclic DNA codes of odd
length over the ring $R = \F_2[u,v]/\langle u^2-1,v^3-v,uv-vu \rangle$ which
play an important role in DNA computing. We established a direct link between
the element of ring $R$ and 64 codons by introducing a Gray map from $R$ to
$R_1 = F_2... | [
{
"created": "Thu, 12 Nov 2015 15:56:21 GMT",
"version": "v1"
}
] | 2015-11-13 | [
[
"Pattanayak",
"Sukhamoy",
""
],
[
"Singh",
"Abhay Kumar",
""
],
[
"Kumar",
"Pratyush",
""
]
] | In this paper, we mainly study the some structure of cyclic DNA codes of odd length over the ring $R = \F_2[u,v]/\langle u^2-1,v^3-v,uv-vu \rangle$ which play an important role in DNA computing. We established a direct link between the element of ring $R$ and 64 codons by introducing a Gray map from $R$ to $R_1 = F_2 +... |
2106.14973 | Dylan Turpin | Dylan Turpin, Liquan Wang, Stavros Tsogkas, Sven Dickinson and Animesh
Garg | GIFT: Generalizable Interaction-aware Functional Tool Affordances
without Labels | Qualitative results available at
https://www.pair.toronto.edu/gift-tools-rss21 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Tool use requires reasoning about the fit between an object's affordances and
the demands of a task. Visual affordance learning can benefit from
goal-directed interaction experience, but current techniques rely on human
labels or expert demonstrations to generate this data. In this paper, we
describe a method that gr... | [
{
"created": "Mon, 28 Jun 2021 20:43:35 GMT",
"version": "v1"
}
] | 2021-06-30 | [
[
"Turpin",
"Dylan",
""
],
[
"Wang",
"Liquan",
""
],
[
"Tsogkas",
"Stavros",
""
],
[
"Dickinson",
"Sven",
""
],
[
"Garg",
"Animesh",
""
]
] | Tool use requires reasoning about the fit between an object's affordances and the demands of a task. Visual affordance learning can benefit from goal-directed interaction experience, but current techniques rely on human labels or expert demonstrations to generate this data. In this paper, we describe a method that grou... |
2308.02194 | Ioan Marius Bilasco PhD | Gaspard Goupy, Pierre Tirilly, Ioan Marius Bilasco | Paired Competing Neurons Improving STDP Supervised Local Learning In
Spiking Neural Networks | null | null | 10.3389/fnins.2024.1401690 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Direct training of Spiking Neural Networks (SNNs) on neuromorphic hardware
has the potential to significantly reduce the energy consumption of artificial
neural network training. SNNs trained with Spike Timing-Dependent Plasticity
(STDP) benefit from gradient-free and unsupervised local learning, which can be
easily ... | [
{
"created": "Fri, 4 Aug 2023 08:20:54 GMT",
"version": "v1"
},
{
"created": "Sat, 27 Apr 2024 11:01:58 GMT",
"version": "v2"
}
] | 2024-07-25 | [
[
"Goupy",
"Gaspard",
""
],
[
"Tirilly",
"Pierre",
""
],
[
"Bilasco",
"Ioan Marius",
""
]
] | Direct training of Spiking Neural Networks (SNNs) on neuromorphic hardware has the potential to significantly reduce the energy consumption of artificial neural network training. SNNs trained with Spike Timing-Dependent Plasticity (STDP) benefit from gradient-free and unsupervised local learning, which can be easily im... |
0805.2379 | Kirill Yurkov | Boris Kudryashov and Kirill Yurkov | Linear code-based vector quantization for independent random variables | 16 pages, 3 figures | null | null | null | cs.IT math.IT | http://creativecommons.org/licenses/by-nc-sa/3.0/ | In this paper we analyze the rate-distortion function R(D) achievable using
linear codes over GF(q), where q is a prime number.
| [
{
"created": "Thu, 15 May 2008 19:05:46 GMT",
"version": "v1"
}
] | 2008-05-16 | [
[
"Kudryashov",
"Boris",
""
],
[
"Yurkov",
"Kirill",
""
]
] | In this paper we analyze the rate-distortion function R(D) achievable using linear codes over GF(q), where q is a prime number. |
2106.08853 | Joshua Kavner | Joshua Kavner, Lirong Xia | Strategic Behavior is Bliss: Iterative Voting Improves Social Welfare | 21 pages, 5 figures, in NeurIPS 2021 | null | null | null | cs.GT cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent work in iterative voting has defined the additive dynamic price of
anarchy (ADPoA) as the difference in social welfare between the truthful and
worst-case equilibrium profiles resulting from repeated strategic
manipulations. While iterative plurality has been shown to only return
alternatives with at most one ... | [
{
"created": "Wed, 16 Jun 2021 15:18:37 GMT",
"version": "v1"
},
{
"created": "Fri, 18 Jun 2021 19:34:45 GMT",
"version": "v2"
},
{
"created": "Sat, 21 Jan 2023 04:44:46 GMT",
"version": "v3"
}
] | 2023-01-24 | [
[
"Kavner",
"Joshua",
""
],
[
"Xia",
"Lirong",
""
]
] | Recent work in iterative voting has defined the additive dynamic price of anarchy (ADPoA) as the difference in social welfare between the truthful and worst-case equilibrium profiles resulting from repeated strategic manipulations. While iterative plurality has been shown to only return alternatives with at most one le... |
1604.03583 | Tarique Siddiqui | Tarique Siddiqui, Albert Kim, John Lee, Karrie Karahalios, Aditya
Parameswaran | Effortless Data Exploration with zenvisage: An Expressive and
Interactive Visual Analytics System | Tech Report | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Data visualization is by far the most commonly used mechanism to explore
data, especially by novice data analysts and data scientists. And yet, current
visual analytics tools are rather limited in their ability to guide data
scientists to interesting or desired visualizations: the process of visual data
exploration r... | [
{
"created": "Tue, 12 Apr 2016 21:00:46 GMT",
"version": "v1"
},
{
"created": "Fri, 13 May 2016 02:09:53 GMT",
"version": "v2"
},
{
"created": "Thu, 4 Jan 2018 06:09:34 GMT",
"version": "v3"
}
] | 2018-01-16 | [
[
"Siddiqui",
"Tarique",
""
],
[
"Kim",
"Albert",
""
],
[
"Lee",
"John",
""
],
[
"Karahalios",
"Karrie",
""
],
[
"Parameswaran",
"Aditya",
""
]
] | Data visualization is by far the most commonly used mechanism to explore data, especially by novice data analysts and data scientists. And yet, current visual analytics tools are rather limited in their ability to guide data scientists to interesting or desired visualizations: the process of visual data exploration rem... |
2405.02290 | Roni Saputra Permana | P Paryanto, Rakha Rahmadani Pratama, Roni Permana Saputra | Wheel Odometry-Based Localization for Autonomous Wheelchair | 6 pages, 10 figures, 3 tables | 2023 International Conference on Radar, Antenna, Microwave,
Electronics, and Telecommunications (ICRAMET), Bandung, Indonesia, 2023, pp.
357-362 | 10.1109/ICRAMET60171.2023.10366532 | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | Localization is a fundamental requirement for an autonomous vehicle system.
One of the most often used systems for autonomous vehicle localization is the
global positioning system (GPS). Nevertheless, the functionality of GPS is
strongly dependent on the availability of satellites, making it unreliable in
some situat... | [
{
"created": "Wed, 27 Dec 2023 15:24:22 GMT",
"version": "v1"
}
] | 2024-05-07 | [
[
"Paryanto",
"P",
""
],
[
"Pratama",
"Rakha Rahmadani",
""
],
[
"Saputra",
"Roni Permana",
""
]
] | Localization is a fundamental requirement for an autonomous vehicle system. One of the most often used systems for autonomous vehicle localization is the global positioning system (GPS). Nevertheless, the functionality of GPS is strongly dependent on the availability of satellites, making it unreliable in some situatio... |
2305.18330 | Areej Alsini | Areej Alsini, Du Q. Huynh and Amitava Datta | #REVAL: a semantic evaluation framework for hashtag recommendation | 18 pages, 4 figures | null | null | null | cs.IR cs.AI cs.CL | http://creativecommons.org/licenses/by/4.0/ | Automatic evaluation of hashtag recommendation models is a fundamental task
in many online social network systems. In the traditional evaluation method,
the recommended hashtags from an algorithm are firstly compared with the ground
truth hashtags for exact correspondences. The number of exact matches is then
used to... | [
{
"created": "Wed, 24 May 2023 07:10:56 GMT",
"version": "v1"
}
] | 2023-05-31 | [
[
"Alsini",
"Areej",
""
],
[
"Huynh",
"Du Q.",
""
],
[
"Datta",
"Amitava",
""
]
] | Automatic evaluation of hashtag recommendation models is a fundamental task in many online social network systems. In the traditional evaluation method, the recommended hashtags from an algorithm are firstly compared with the ground truth hashtags for exact correspondences. The number of exact matches is then used to c... |
1110.1161 | Petros Petrosyan | Petros A. Petrosyan | Interval edge-colorings of cubic graphs | 3 pages | Proceedings of the CSIT Conference, Yerevan, 2011, pp. 86-88 | null | null | cs.DM math.CO | http://creativecommons.org/licenses/by/3.0/ | An edge-coloring of a multigraph G with colors 1,2,...,t is called an
interval t-coloring if all colors are used, and the colors of edges incident to
any vertex of G are distinct and form an interval of integers. In this paper we
prove that if G is a connected cubic multigraph (a connected cubic graph) that
admits an... | [
{
"created": "Thu, 6 Oct 2011 07:08:00 GMT",
"version": "v1"
}
] | 2011-10-07 | [
[
"Petrosyan",
"Petros A.",
""
]
] | An edge-coloring of a multigraph G with colors 1,2,...,t is called an interval t-coloring if all colors are used, and the colors of edges incident to any vertex of G are distinct and form an interval of integers. In this paper we prove that if G is a connected cubic multigraph (a connected cubic graph) that admits an i... |
1808.07623 | John-Thones Amenyo | John-Thones Amenyo | Principles, Paradigms and the Future of UAV Drone Teams in Use for
Engineering and Operation of Landscape-Scale Deployable Structures | null | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Drone fleets, with counts on the order of O(100) to O(1000), will play
important and significant roles in the automation of the deployment, operation,
maintenance and repair of ubiquitous and pervasive landscape scale elongated
structures, with the longest linear spatial dimensions of O(1 mile) to O(10
mile). The org... | [
{
"created": "Thu, 23 Aug 2018 03:53:06 GMT",
"version": "v1"
}
] | 2018-08-24 | [
[
"Amenyo",
"John-Thones",
""
]
] | Drone fleets, with counts on the order of O(100) to O(1000), will play important and significant roles in the automation of the deployment, operation, maintenance and repair of ubiquitous and pervasive landscape scale elongated structures, with the longest linear spatial dimensions of O(1 mile) to O(10 mile). The organ... |
2209.13355 | Henning Meyerhenke | Eugenio Angriman, Alexander van der Grinten, Michael Hamann, Henning
Meyerhenke, Manuel Penschuck | Algorithms for Large-scale Network Analysis and the NetworKit Toolkit | null | null | null | null | cs.SI cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The abundance of massive network data in a plethora of applications makes
scalable analysis algorithms and software tools necessary to generate knowledge
from such data in reasonable time. Addressing scalability as well as other
requirements such as good usability and a rich feature set, the open-source
software Netw... | [
{
"created": "Tue, 20 Sep 2022 12:10:27 GMT",
"version": "v1"
}
] | 2022-09-28 | [
[
"Angriman",
"Eugenio",
""
],
[
"van der Grinten",
"Alexander",
""
],
[
"Hamann",
"Michael",
""
],
[
"Meyerhenke",
"Henning",
""
],
[
"Penschuck",
"Manuel",
""
]
] | The abundance of massive network data in a plethora of applications makes scalable analysis algorithms and software tools necessary to generate knowledge from such data in reasonable time. Addressing scalability as well as other requirements such as good usability and a rich feature set, the open-source software Networ... |
2307.14818 | Anna Moskvina | Anna Moskvina, Bhushan Kotnis, Chris Catacata, Michael Janz, Nasrin
Saef | What Makes a Good Paraphrase: Do Automated Evaluations Work? | Extended Abstract for Konvens2023 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Paraphrasing is the task of expressing an essential idea or meaning in
different words. But how different should the words be in order to be
considered an acceptable paraphrase? And can we exclusively use automated
metrics to evaluate the quality of a paraphrase? We attempt to answer these
questions by conducting exp... | [
{
"created": "Thu, 27 Jul 2023 12:51:16 GMT",
"version": "v1"
}
] | 2023-07-28 | [
[
"Moskvina",
"Anna",
""
],
[
"Kotnis",
"Bhushan",
""
],
[
"Catacata",
"Chris",
""
],
[
"Janz",
"Michael",
""
],
[
"Saef",
"Nasrin",
""
]
] | Paraphrasing is the task of expressing an essential idea or meaning in different words. But how different should the words be in order to be considered an acceptable paraphrase? And can we exclusively use automated metrics to evaluate the quality of a paraphrase? We attempt to answer these questions by conducting exper... |
1803.03422 | Mordechai Guri | Mordechai Guri, Yosef Solewicz, Andrey Daidakulov, Yuval Elovici | MOSQUITO: Covert Ultrasonic Transmissions between Two Air-Gapped
Computers using Speaker-to-Speaker Communication | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we show how two (or more) airgapped computers in the same room,
equipped with passive speakers, headphones, or earphones can covertly exchange
data via ultrasonic waves. Microphones are not required. Our method is based on
the capability of a malware to exploit a specific audio chip feature in order
to ... | [
{
"created": "Fri, 9 Mar 2018 09:01:30 GMT",
"version": "v1"
},
{
"created": "Fri, 16 Mar 2018 10:38:38 GMT",
"version": "v2"
}
] | 2018-03-19 | [
[
"Guri",
"Mordechai",
""
],
[
"Solewicz",
"Yosef",
""
],
[
"Daidakulov",
"Andrey",
""
],
[
"Elovici",
"Yuval",
""
]
] | In this paper we show how two (or more) airgapped computers in the same room, equipped with passive speakers, headphones, or earphones can covertly exchange data via ultrasonic waves. Microphones are not required. Our method is based on the capability of a malware to exploit a specific audio chip feature in order to re... |
1802.10138 | Sayyed Jaffar Ali Raza | Sayyed Jaffar Ali Raza, Nitish A. Gupta, Nisarg Chitaliya, Gita R.
Sukthankar | Real-World Modeling of a Pathfinding Robot Using Robot Operating System
(ROS) | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a practical approach towards implementing pathfinding
algorithms on real-world and low-cost non- commercial hardware platforms. While
using robotics simulation platforms as a test-bed for our algorithms we easily
overlook real- world exogenous problems that are developed by external factors.
Such ... | [
{
"created": "Tue, 27 Feb 2018 19:49:42 GMT",
"version": "v1"
}
] | 2018-03-01 | [
[
"Raza",
"Sayyed Jaffar Ali",
""
],
[
"Gupta",
"Nitish A.",
""
],
[
"Chitaliya",
"Nisarg",
""
],
[
"Sukthankar",
"Gita R.",
""
]
] | This paper presents a practical approach towards implementing pathfinding algorithms on real-world and low-cost non- commercial hardware platforms. While using robotics simulation platforms as a test-bed for our algorithms we easily overlook real- world exogenous problems that are developed by external factors. Such pr... |
1902.08318 | Daniel Lemire | Geoff Langdale, Daniel Lemire | Parsing Gigabytes of JSON per Second | software: https://github.com/lemire/simdjson | The VLDB Journal, 28(6), 2019 | 10.1007/s00778-019-00578-5 | null | cs.DB cs.PF | http://creativecommons.org/licenses/by/4.0/ | JavaScript Object Notation or JSON is a ubiquitous data exchange format on
the Web. Ingesting JSON documents can become a performance bottleneck due to
the sheer volume of data. We are thus motivated to make JSON parsing as fast as
possible.
Despite the maturity of the problem of JSON parsing, we show that substant... | [
{
"created": "Fri, 22 Feb 2019 00:24:01 GMT",
"version": "v1"
},
{
"created": "Mon, 25 Feb 2019 19:45:23 GMT",
"version": "v2"
},
{
"created": "Mon, 17 Jun 2019 21:51:55 GMT",
"version": "v3"
},
{
"created": "Tue, 13 Aug 2019 00:34:45 GMT",
"version": "v4"
},
{
"c... | 2024-07-25 | [
[
"Langdale",
"Geoff",
""
],
[
"Lemire",
"Daniel",
""
]
] | JavaScript Object Notation or JSON is a ubiquitous data exchange format on the Web. Ingesting JSON documents can become a performance bottleneck due to the sheer volume of data. We are thus motivated to make JSON parsing as fast as possible. Despite the maturity of the problem of JSON parsing, we show that substantial ... |
2104.14519 | Rohit Chadha | Rohit Chadha, A. Prasad Sistla and Mahesh Viswanathan | On Linear Time Decidability of Differential Privacy for Programs with
Unbounded Inputs | An extended abstract to be published in 36th Annual IEEE Symposium on
Logic in Computer Science (LICS 2021) | null | null | null | cs.CR cs.FL cs.LO cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce an automata model for describing interesting classes of
differential privacy mechanisms/algorithms that include known mechanisms from
the literature. These automata can model algorithms whose inputs can be an
unbounded sequence of real-valued query answers. We consider the problem of
checking whether the... | [
{
"created": "Thu, 29 Apr 2021 17:34:44 GMT",
"version": "v1"
}
] | 2021-04-30 | [
[
"Chadha",
"Rohit",
""
],
[
"Sistla",
"A. Prasad",
""
],
[
"Viswanathan",
"Mahesh",
""
]
] | We introduce an automata model for describing interesting classes of differential privacy mechanisms/algorithms that include known mechanisms from the literature. These automata can model algorithms whose inputs can be an unbounded sequence of real-valued query answers. We consider the problem of checking whether there... |
2107.00077 | William McCarthy | William P. McCarthy, Robert D. Hawkins, Haoliang Wang, Cameron
Holdaway, Judith E. Fan | Learning to communicate about shared procedural abstractions | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many real-world tasks require agents to coordinate their behavior to achieve
shared goals. Successful collaboration requires not only adopting the same
communicative conventions, but also grounding these conventions in the same
task-appropriate conceptual abstractions. We investigate how humans use natural
language t... | [
{
"created": "Wed, 30 Jun 2021 19:59:11 GMT",
"version": "v1"
}
] | 2021-07-02 | [
[
"McCarthy",
"William P.",
""
],
[
"Hawkins",
"Robert D.",
""
],
[
"Wang",
"Haoliang",
""
],
[
"Holdaway",
"Cameron",
""
],
[
"Fan",
"Judith E.",
""
]
] | Many real-world tasks require agents to coordinate their behavior to achieve shared goals. Successful collaboration requires not only adopting the same communicative conventions, but also grounding these conventions in the same task-appropriate conceptual abstractions. We investigate how humans use natural language to ... |
2202.05395 | Alireza Sadeghi | Alireza Sadeghi | Robust, Deep, and Reinforcement Learning for Management of Communication
and Power Networks | PhD thesis | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This thesis develops data-driven machine learning algorithms to managing and
optimizing the next-generation highly complex cyberphysical systems, which
desperately need ground-breaking control, monitoring, and decision making
schemes that can guarantee robustness, scalability, and situational awareness.
The present t... | [
{
"created": "Tue, 8 Feb 2022 05:49:06 GMT",
"version": "v1"
}
] | 2022-02-14 | [
[
"Sadeghi",
"Alireza",
""
]
] | This thesis develops data-driven machine learning algorithms to managing and optimizing the next-generation highly complex cyberphysical systems, which desperately need ground-breaking control, monitoring, and decision making schemes that can guarantee robustness, scalability, and situational awareness. The present the... |
2208.07281 | Quanyu Dai | Quanyu Dai, Zhenhua Dong and Xu Chen | Debiased Recommendation with Neural Stratification | null | null | null | null | cs.IR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Debiased recommender models have recently attracted increasing attention from
the academic and industry communities. Existing models are mostly based on the
technique of inverse propensity score (IPS). However, in the recommendation
domain, IPS can be hard to estimate given the sparse and noisy nature of the
observed... | [
{
"created": "Mon, 15 Aug 2022 15:45:35 GMT",
"version": "v1"
}
] | 2022-08-16 | [
[
"Dai",
"Quanyu",
""
],
[
"Dong",
"Zhenhua",
""
],
[
"Chen",
"Xu",
""
]
] | Debiased recommender models have recently attracted increasing attention from the academic and industry communities. Existing models are mostly based on the technique of inverse propensity score (IPS). However, in the recommendation domain, IPS can be hard to estimate given the sparse and noisy nature of the observed u... |
1711.06948 | Zhizhen Liang Dr. | Zhizheng Liang, Lei Zhang, Jin Liu, Yong Zhou | A novel total variation model based on kernel functions and its
application | 22 pages, 5 figures, 2 tables | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The total variation (TV) model and its related variants have already been
proposed for image processing in previous literature. In this paper a novel
total variation model based on kernel functions is proposed. In this novel
model, we first map each pixel value of an image into a Hilbert space by using
a nonlinear ma... | [
{
"created": "Sun, 19 Nov 2017 01:30:44 GMT",
"version": "v1"
}
] | 2017-11-21 | [
[
"Liang",
"Zhizheng",
""
],
[
"Zhang",
"Lei",
""
],
[
"Liu",
"Jin",
""
],
[
"Zhou",
"Yong",
""
]
] | The total variation (TV) model and its related variants have already been proposed for image processing in previous literature. In this paper a novel total variation model based on kernel functions is proposed. In this novel model, we first map each pixel value of an image into a Hilbert space by using a nonlinear map,... |
2008.01772 | Ryan Pyle | Justin Sahs, Ryan Pyle, Aneel Damaraju, Josue Ortega Caro, Onur
Tavaslioglu, Andy Lu, Ankit Patel | Shallow Univariate ReLu Networks as Splines: Initialization, Loss
Surface, Hessian, & Gradient Flow Dynamics | 14 pages, 4 figures in main text | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Understanding the learning dynamics and inductive bias of neural networks
(NNs) is hindered by the opacity of the relationship between NN parameters and
the function represented. We propose reparametrizing ReLU NNs as continuous
piecewise linear splines. Using this spline lens, we study learning dynamics in
shallow u... | [
{
"created": "Tue, 4 Aug 2020 19:19:49 GMT",
"version": "v1"
}
] | 2020-08-06 | [
[
"Sahs",
"Justin",
""
],
[
"Pyle",
"Ryan",
""
],
[
"Damaraju",
"Aneel",
""
],
[
"Caro",
"Josue Ortega",
""
],
[
"Tavaslioglu",
"Onur",
""
],
[
"Lu",
"Andy",
""
],
[
"Patel",
"Ankit",
""
]
] | Understanding the learning dynamics and inductive bias of neural networks (NNs) is hindered by the opacity of the relationship between NN parameters and the function represented. We propose reparametrizing ReLU NNs as continuous piecewise linear splines. Using this spline lens, we study learning dynamics in shallow uni... |
2401.06785 | Hongyi Guo | Hongyi Guo, Yuanshun Yao, Wei Shen, Jiaheng Wei, Xiaoying Zhang,
Zhaoran Wang, Yang Liu | Human-Instruction-Free LLM Self-Alignment with Limited Samples | null | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Aligning large language models (LLMs) with human values is a vital task for
LLM practitioners. Current alignment techniques have several limitations: (1)
requiring a large amount of annotated data; (2) demanding heavy human
involvement; (3) lacking a systematic mechanism to continuously improve. In
this work, we stud... | [
{
"created": "Sat, 6 Jan 2024 14:00:12 GMT",
"version": "v1"
}
] | 2024-01-17 | [
[
"Guo",
"Hongyi",
""
],
[
"Yao",
"Yuanshun",
""
],
[
"Shen",
"Wei",
""
],
[
"Wei",
"Jiaheng",
""
],
[
"Zhang",
"Xiaoying",
""
],
[
"Wang",
"Zhaoran",
""
],
[
"Liu",
"Yang",
""
]
] | Aligning large language models (LLMs) with human values is a vital task for LLM practitioners. Current alignment techniques have several limitations: (1) requiring a large amount of annotated data; (2) demanding heavy human involvement; (3) lacking a systematic mechanism to continuously improve. In this work, we study ... |
2405.14241 | Chaokang Jiang | Chaokang Jiang, Dalong Du, Jiuming Liu, Siting Zhu, Zhenqiang Liu,
Zhuang Ma, Zhujin Liang and Jie Zhou | NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for
Point Cloud Interpolation | Under review | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Point Cloud Interpolation confronts challenges from point sparsity, complex
spatiotemporal dynamics, and the difficulty of deriving complete 3D point
clouds from sparse temporal information. This paper presents NeuroGauss4D-PCI,
which excels at modeling complex non-rigid deformations across varied dynamic
scenes. The... | [
{
"created": "Thu, 23 May 2024 07:21:01 GMT",
"version": "v1"
}
] | 2024-05-24 | [
[
"Jiang",
"Chaokang",
""
],
[
"Du",
"Dalong",
""
],
[
"Liu",
"Jiuming",
""
],
[
"Zhu",
"Siting",
""
],
[
"Liu",
"Zhenqiang",
""
],
[
"Ma",
"Zhuang",
""
],
[
"Liang",
"Zhujin",
""
],
[
"Zhou",
"Ji... | Point Cloud Interpolation confronts challenges from point sparsity, complex spatiotemporal dynamics, and the difficulty of deriving complete 3D point clouds from sparse temporal information. This paper presents NeuroGauss4D-PCI, which excels at modeling complex non-rigid deformations across varied dynamic scenes. The m... |
1905.01574 | Qi Wang | Qi Wang, Junyu Gao, Yuan Yuan | A Joint Convolutional Neural Networks and Context Transfer for Street
Scenes Labeling | IEEE T-ITS 2018 | null | 10.1109/TITS.2017.2726546 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Street scene understanding is an essential task for autonomous driving. One
important step towards this direction is scene labeling, which annotates each
pixel in the images with a correct class label. Although many approaches have
been developed, there are still some weak points. Firstly, many methods are
based on t... | [
{
"created": "Sun, 5 May 2019 01:24:19 GMT",
"version": "v1"
}
] | 2019-05-07 | [
[
"Wang",
"Qi",
""
],
[
"Gao",
"Junyu",
""
],
[
"Yuan",
"Yuan",
""
]
] | Street scene understanding is an essential task for autonomous driving. One important step towards this direction is scene labeling, which annotates each pixel in the images with a correct class label. Although many approaches have been developed, there are still some weak points. Firstly, many methods are based on the... |
2204.14170 | Benjie Wang | Benjie Wang, Matthew Wicker, Marta Kwiatkowska | Tractable Uncertainty for Structure Learning | ICML 2022 (long talk); 20 pages | null | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Bayesian structure learning allows one to capture uncertainty over the causal
directed acyclic graph (DAG) responsible for generating given data. In this
work, we present Tractable Uncertainty for STructure learning (TRUST), a
framework for approximate posterior inference that relies on probabilistic
circuits as the ... | [
{
"created": "Fri, 29 Apr 2022 15:54:39 GMT",
"version": "v1"
},
{
"created": "Fri, 1 Jul 2022 18:41:28 GMT",
"version": "v2"
}
] | 2022-07-05 | [
[
"Wang",
"Benjie",
""
],
[
"Wicker",
"Matthew",
""
],
[
"Kwiatkowska",
"Marta",
""
]
] | Bayesian structure learning allows one to capture uncertainty over the causal directed acyclic graph (DAG) responsible for generating given data. In this work, we present Tractable Uncertainty for STructure learning (TRUST), a framework for approximate posterior inference that relies on probabilistic circuits as the re... |
2308.13265 | Zahra Taghiyarrenani Ms | Zahra Taghiyarrenani, Abdallah Alabdallah, Slawomir Nowaczyk, Sepideh
Pashami | Heterogeneous Federated Learning via Personalized Generative Networks | null | null | null | null | cs.LG | http://creativecommons.org/publicdomain/zero/1.0/ | Federated Learning (FL) allows several clients to construct a common global
machine-learning model without having to share their data. FL, however, faces
the challenge of statistical heterogeneity between the client's data, which
degrades performance and slows down the convergence toward the global model. In
this pap... | [
{
"created": "Fri, 25 Aug 2023 09:37:02 GMT",
"version": "v1"
},
{
"created": "Thu, 25 Jan 2024 10:16:46 GMT",
"version": "v2"
}
] | 2024-01-26 | [
[
"Taghiyarrenani",
"Zahra",
""
],
[
"Alabdallah",
"Abdallah",
""
],
[
"Nowaczyk",
"Slawomir",
""
],
[
"Pashami",
"Sepideh",
""
]
] | Federated Learning (FL) allows several clients to construct a common global machine-learning model without having to share their data. FL, however, faces the challenge of statistical heterogeneity between the client's data, which degrades performance and slows down the convergence toward the global model. In this paper... |
2407.21091 | Di Zhang | Di Zhang and Suvrajeet Sen | The Stochastic Conjugate Subgradient Algorithm For Kernel Support Vector
Machines | arXiv admin note: text overlap with arXiv:2407.20944 | null | null | null | cs.LG math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Stochastic First-Order (SFO) methods have been a cornerstone in addressing a
broad spectrum of modern machine learning (ML) challenges. However, their
efficacy is increasingly questioned, especially in large-scale applications
where empirical evidence indicates potential performance limitations. In
response, this pap... | [
{
"created": "Tue, 30 Jul 2024 17:03:19 GMT",
"version": "v1"
}
] | 2024-08-01 | [
[
"Zhang",
"Di",
""
],
[
"Sen",
"Suvrajeet",
""
]
] | Stochastic First-Order (SFO) methods have been a cornerstone in addressing a broad spectrum of modern machine learning (ML) challenges. However, their efficacy is increasingly questioned, especially in large-scale applications where empirical evidence indicates potential performance limitations. In response, this paper... |
2304.11313 | Tsung-Han Kuo | Tsung-Han Kuo, Zhenge Jia, Tei-Wei Kuo, Jingtong Hu | BiTrackGAN: Cascaded CycleGANs to Constraint Face Aging | V1.0 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the increased accuracy of modern computer vision technology, many access
control systems are equipped with face recognition functions for faster
identification. In order to maintain high recognition accuracy, it is necessary
to keep the face database up-to-date. However, it is impractical to collect the
latest f... | [
{
"created": "Sat, 22 Apr 2023 04:35:40 GMT",
"version": "v1"
}
] | 2023-04-25 | [
[
"Kuo",
"Tsung-Han",
""
],
[
"Jia",
"Zhenge",
""
],
[
"Kuo",
"Tei-Wei",
""
],
[
"Hu",
"Jingtong",
""
]
] | With the increased accuracy of modern computer vision technology, many access control systems are equipped with face recognition functions for faster identification. In order to maintain high recognition accuracy, it is necessary to keep the face database up-to-date. However, it is impractical to collect the latest fac... |
2206.06260 | Rahul Pandita | Dylan Lee and Austin Henley and Bill Hinshaw and Rahul Pandita | OpenCBS: An Open-Source COBOL Defects Benchmark Suite | null | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | As the current COBOL workforce retires, entry-level developers are left to
keep complex legacy systems maintained and operational. This creates a massive
gap in knowledge and ability as companies are having their veteran developers
replaced with a new, inexperienced workforce. Additionally, the lack of COBOL
and main... | [
{
"created": "Mon, 13 Jun 2022 15:42:31 GMT",
"version": "v1"
}
] | 2022-06-14 | [
[
"Lee",
"Dylan",
""
],
[
"Henley",
"Austin",
""
],
[
"Hinshaw",
"Bill",
""
],
[
"Pandita",
"Rahul",
""
]
] | As the current COBOL workforce retires, entry-level developers are left to keep complex legacy systems maintained and operational. This creates a massive gap in knowledge and ability as companies are having their veteran developers replaced with a new, inexperienced workforce. Additionally, the lack of COBOL and mainfr... |
2304.11829 | Lu Zeyu | Zeyu Lu, Chengyue Wu, Xinyuan Chen, Yaohui Wang, Lei Bai, Yu Qiao,
Xihui Liu | Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation | null | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Diffusion models have attained impressive visual quality for image synthesis.
However, how to interpret and manipulate the latent space of diffusion models
has not been extensively explored. Prior work diffusion autoencoders encode the
semantic representations into a semantic latent code, which fails to reflect
the r... | [
{
"created": "Mon, 24 Apr 2023 05:35:59 GMT",
"version": "v1"
},
{
"created": "Tue, 25 Apr 2023 17:11:34 GMT",
"version": "v2"
}
] | 2023-04-26 | [
[
"Lu",
"Zeyu",
""
],
[
"Wu",
"Chengyue",
""
],
[
"Chen",
"Xinyuan",
""
],
[
"Wang",
"Yaohui",
""
],
[
"Bai",
"Lei",
""
],
[
"Qiao",
"Yu",
""
],
[
"Liu",
"Xihui",
""
]
] | Diffusion models have attained impressive visual quality for image synthesis. However, how to interpret and manipulate the latent space of diffusion models has not been extensively explored. Prior work diffusion autoencoders encode the semantic representations into a semantic latent code, which fails to reflect the ric... |
2211.01659 | Dimitrios Tyrovolas | Alexandros Papadopoulos, Antonios Lalas, Konstantinos Votis, Dimitrios
Tyrovolas, George K. Karagiannidis, Sotiris Ioannidis, Christos Liaskos | An Open Platform for Simulating the Physical Layer of 6G Communication
Systems with Multiple Intelligent Surfaces | null | null | null | null | cs.ET eess.SP | http://creativecommons.org/licenses/by/4.0/ | Reconfigurable Intelligent Surfaces (RIS) constitute a promising technology
that could fulfill the extreme performance and capacity needs of the upcoming
6G wireless networks, by offering software-defined control over wireless
propagation phenomena. Despite the existence of many theoretical models
describing various ... | [
{
"created": "Thu, 3 Nov 2022 09:02:59 GMT",
"version": "v1"
}
] | 2022-11-04 | [
[
"Papadopoulos",
"Alexandros",
""
],
[
"Lalas",
"Antonios",
""
],
[
"Votis",
"Konstantinos",
""
],
[
"Tyrovolas",
"Dimitrios",
""
],
[
"Karagiannidis",
"George K.",
""
],
[
"Ioannidis",
"Sotiris",
""
],
[
"Liaskos",... | Reconfigurable Intelligent Surfaces (RIS) constitute a promising technology that could fulfill the extreme performance and capacity needs of the upcoming 6G wireless networks, by offering software-defined control over wireless propagation phenomena. Despite the existence of many theoretical models describing various as... |
1912.01706 | Nicolas Garneau | Nicolas Garneau, Mathieu Godbout, David Beauchemin, Audrey Durand, Luc
Lamontagne | A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual
Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well | Accept in REPROLANG@LREC2020 | null | null | null | cs.LG cs.CL stat.ML | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In this paper, we reproduce the experiments of Artetxe et al. (2018b)
regarding the robust self-learning method for fully unsupervised cross-lingual
mappings of word embeddings. We show that the reproduction of their method is
indeed feasible with some minor assumptions. We further investigate the
robustness of their... | [
{
"created": "Tue, 3 Dec 2019 22:07:47 GMT",
"version": "v1"
},
{
"created": "Tue, 3 Mar 2020 14:30:50 GMT",
"version": "v2"
}
] | 2020-03-04 | [
[
"Garneau",
"Nicolas",
""
],
[
"Godbout",
"Mathieu",
""
],
[
"Beauchemin",
"David",
""
],
[
"Durand",
"Audrey",
""
],
[
"Lamontagne",
"Luc",
""
]
] | In this paper, we reproduce the experiments of Artetxe et al. (2018b) regarding the robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings. We show that the reproduction of their method is indeed feasible with some minor assumptions. We further investigate the robustness of their m... |
2009.12577 | Mohamed Ali Souibgui | Mohamed Ali Souibgui and Alicia Forn\'es and Yousri Kessentini and
Crina Tudor | A Few-shot Learning Approach for Historical Ciphered Manuscript
Recognition | Accepted in the 25th International Conference on Pattern Recognition
(ICPR2020), Milan, Italy 10 - 15 January 2021 (Camera Ready Version) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Encoded (or ciphered) manuscripts are a special type of historical documents
that contain encrypted text. The automatic recognition of this kind of
documents is challenging because: 1) the cipher alphabet changes from one
document to another, 2) there is a lack of annotated corpus for training and 3)
touching symbols... | [
{
"created": "Sat, 26 Sep 2020 11:49:18 GMT",
"version": "v1"
}
] | 2020-09-29 | [
[
"Souibgui",
"Mohamed Ali",
""
],
[
"Fornés",
"Alicia",
""
],
[
"Kessentini",
"Yousri",
""
],
[
"Tudor",
"Crina",
""
]
] | Encoded (or ciphered) manuscripts are a special type of historical documents that contain encrypted text. The automatic recognition of this kind of documents is challenging because: 1) the cipher alphabet changes from one document to another, 2) there is a lack of annotated corpus for training and 3) touching symbols m... |
1704.03885 | Alexander Mart\'inez M\'endez | H. Asorey, A. Mart\'inez-M\'endez, L.A. N\'u\~nez, A. Valbuena-Delgado
(for the LAGO Collaboration) | Lago Distributed Network Of Data Repositories | null | null | null | null | cs.DL | http://creativecommons.org/licenses/by/4.0/ | We describe a set of tools, services and strategies of the Latin American
Giant Observatory (LAGO) data repository network, to implement Data
Accessibility, Reproducibility and Trustworthiness.
| [
{
"created": "Wed, 12 Apr 2017 18:12:48 GMT",
"version": "v1"
}
] | 2019-08-13 | [
[
"Asorey",
"H.",
"",
"for the LAGO Collaboration"
],
[
"Martínez-Méndez",
"A.",
"",
"for the LAGO Collaboration"
],
[
"Núñez",
"L. A.",
"",
"for the LAGO Collaboration"
],
[
"Valbuena-Delgado",
"A.",
"",
"for the LAGO Collaboration"
]
] | We describe a set of tools, services and strategies of the Latin American Giant Observatory (LAGO) data repository network, to implement Data Accessibility, Reproducibility and Trustworthiness. |
2107.12100 | Christoph Gote | Christoph Gote and Vincenzo Perri and Ingo Scholtes | Predicting Influential Higher-Order Patterns in Temporal Network Data | 18 pages, 4 figures, 2 tables | null | null | null | cs.SI cs.IT cs.LG math.IT physics.data-an stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Networks are frequently used to model complex systems comprised of
interacting elements. While edges capture the topology of direct interactions,
the true complexity of many systems originates from higher-order patterns in
paths by which nodes can indirectly influence each other. Path data,
representing ordered seque... | [
{
"created": "Mon, 26 Jul 2021 10:44:46 GMT",
"version": "v1"
},
{
"created": "Mon, 3 Oct 2022 14:09:43 GMT",
"version": "v2"
}
] | 2022-10-04 | [
[
"Gote",
"Christoph",
""
],
[
"Perri",
"Vincenzo",
""
],
[
"Scholtes",
"Ingo",
""
]
] | Networks are frequently used to model complex systems comprised of interacting elements. While edges capture the topology of direct interactions, the true complexity of many systems originates from higher-order patterns in paths by which nodes can indirectly influence each other. Path data, representing ordered sequenc... |
2103.00879 | Kailun Yang | Shuo Chen, Kailun Yang, Rainer Stiefelhagen | DR-TANet: Dynamic Receptive Temporal Attention Network for Street Scene
Change Detection | 8 pages, 9 figures, 6 tables. Accepted to IEEE Intelligent Vehicles
Symposium 2021 (IV2021). Code is available at
https://github.com/Herrccc/DR-TANet | null | null | null | cs.CV cs.LG cs.RO eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Street scene change detection continues to capture researchers' interests in
the computer vision community. It aims to identify the changed regions of the
paired street-view images captured at different times. The state-of-the-art
network based on the encoder-decoder architecture leverages the feature maps at
the cor... | [
{
"created": "Mon, 1 Mar 2021 10:01:35 GMT",
"version": "v1"
},
{
"created": "Fri, 28 May 2021 09:15:49 GMT",
"version": "v2"
}
] | 2021-05-31 | [
[
"Chen",
"Shuo",
""
],
[
"Yang",
"Kailun",
""
],
[
"Stiefelhagen",
"Rainer",
""
]
] | Street scene change detection continues to capture researchers' interests in the computer vision community. It aims to identify the changed regions of the paired street-view images captured at different times. The state-of-the-art network based on the encoder-decoder architecture leverages the feature maps at the corre... |
2201.02450 | Masahito Hayashi | Masahito Hayashi | Analytical calculation formulas for capacities of classical and
classical-quantum channels | null | null | 10.1109/TIT.2022.3215178 | null | cs.IT math.IT quant-ph | http://creativecommons.org/licenses/by/4.0/ | We derive an analytical calculation formula for the channel capacity of a
classical channel without any iteration while its existing algorithms require
iterations and the number of iteration depends on the required precision level.
Hence, our formula is its first analytical formula without any iteration. We
apply the... | [
{
"created": "Fri, 7 Jan 2022 13:39:09 GMT",
"version": "v1"
},
{
"created": "Tue, 14 Feb 2023 09:01:04 GMT",
"version": "v2"
}
] | 2023-02-15 | [
[
"Hayashi",
"Masahito",
""
]
] | We derive an analytical calculation formula for the channel capacity of a classical channel without any iteration while its existing algorithms require iterations and the number of iteration depends on the required precision level. Hence, our formula is its first analytical formula without any iteration. We apply the o... |
1904.03569 | Zaoyu Lu | Feng Shu, Zaoyu Lu, Shuo Zhang, Jin Wang, Xiaobo Zhou, Linlin Sun,
Jinhui Lu, Jinyong Lin, Wenlong Cai | Optimal Power Allocation for Secure Directional Modulation Networks with
a Full-duplex UAV User | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper make an investigation of a secure unmanned aerial vehicle
(UAV)-aided communication network based on directional modulation(DM), in which
one ground base station (Alice), one legitimate full-duplex (FD) user (Bob) and
one illegal receiver (Eve) are involved. In this network, Alice acts as a
control center ... | [
{
"created": "Sun, 7 Apr 2019 02:37:59 GMT",
"version": "v1"
}
] | 2019-04-09 | [
[
"Shu",
"Feng",
""
],
[
"Lu",
"Zaoyu",
""
],
[
"Zhang",
"Shuo",
""
],
[
"Wang",
"Jin",
""
],
[
"Zhou",
"Xiaobo",
""
],
[
"Sun",
"Linlin",
""
],
[
"Lu",
"Jinhui",
""
],
[
"Lin",
"Jinyong",
""
... | This paper make an investigation of a secure unmanned aerial vehicle (UAV)-aided communication network based on directional modulation(DM), in which one ground base station (Alice), one legitimate full-duplex (FD) user (Bob) and one illegal receiver (Eve) are involved. In this network, Alice acts as a control center to... |
2103.04590 | Pranav Rajpurkar | Siyu Shi, Ishaan Malhi, Kevin Tran, Andrew Y. Ng, Pranav Rajpurkar | CheXseen: Unseen Disease Detection for Deep Learning Interpretation of
Chest X-rays | Accepted at MIDL Conference 2021. Previous version accepted at ACM
Conference on Health, Inference, and Learning (ACM-CHIL) Workshop 2021 | null | null | null | cs.CV cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | We systematically evaluate the performance of deep learning models in the
presence of diseases not labeled for or present during training. First, we
evaluate whether deep learning models trained on a subset of diseases (seen
diseases) can detect the presence of any one of a larger set of diseases. We
find that models... | [
{
"created": "Mon, 8 Mar 2021 08:13:21 GMT",
"version": "v1"
},
{
"created": "Mon, 17 May 2021 05:15:55 GMT",
"version": "v2"
}
] | 2021-05-18 | [
[
"Shi",
"Siyu",
""
],
[
"Malhi",
"Ishaan",
""
],
[
"Tran",
"Kevin",
""
],
[
"Ng",
"Andrew Y.",
""
],
[
"Rajpurkar",
"Pranav",
""
]
] | We systematically evaluate the performance of deep learning models in the presence of diseases not labeled for or present during training. First, we evaluate whether deep learning models trained on a subset of diseases (seen diseases) can detect the presence of any one of a larger set of diseases. We find that models t... |
1908.00059 | Yu Chen | Yu Chen, Lingfei Wu and Mohammed J. Zaki | GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for
Conversational Machine Comprehension | 7 pages. Accepted by IJCAI 2020. Final Version. The SOLE copyright
holder is IJCAI (https://www.ijcai.org), all rights reserved | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Conversational machine comprehension (MC) has proven significantly more
challenging compared to traditional MC since it requires better utilization of
conversation history. However, most existing approaches do not effectively
capture conversation history and thus have trouble handling questions involving
coreference ... | [
{
"created": "Wed, 31 Jul 2019 19:23:38 GMT",
"version": "v1"
},
{
"created": "Wed, 15 Jul 2020 17:43:03 GMT",
"version": "v2"
}
] | 2020-07-16 | [
[
"Chen",
"Yu",
""
],
[
"Wu",
"Lingfei",
""
],
[
"Zaki",
"Mohammed J.",
""
]
] | Conversational machine comprehension (MC) has proven significantly more challenging compared to traditional MC since it requires better utilization of conversation history. However, most existing approaches do not effectively capture conversation history and thus have trouble handling questions involving coreference or... |
2305.19213 | Xiao Liu | Xiao Liu, Da Yin, Chen Zhang, Yansong Feng, Dongyan Zhao | The Magic of IF: Investigating Causal Reasoning Abilities in Large
Language Models of Code | Findings of ACL 2023. Code and data are available at
https://github.com/xxxiaol/magic-if | null | null | null | cs.CL | http://creativecommons.org/licenses/by-sa/4.0/ | Causal reasoning, the ability to identify cause-and-effect relationship, is
crucial in human thinking. Although large language models (LLMs) succeed in
many NLP tasks, it is still challenging for them to conduct complex causal
reasoning like abductive reasoning and counterfactual reasoning. Given the fact
that progra... | [
{
"created": "Tue, 30 May 2023 17:02:58 GMT",
"version": "v1"
}
] | 2023-05-31 | [
[
"Liu",
"Xiao",
""
],
[
"Yin",
"Da",
""
],
[
"Zhang",
"Chen",
""
],
[
"Feng",
"Yansong",
""
],
[
"Zhao",
"Dongyan",
""
]
] | Causal reasoning, the ability to identify cause-and-effect relationship, is crucial in human thinking. Although large language models (LLMs) succeed in many NLP tasks, it is still challenging for them to conduct complex causal reasoning like abductive reasoning and counterfactual reasoning. Given the fact that programm... |
2109.08565 | Ahmed Magooda | Ahmed Magooda, Mohamed Elaraby, Diane Litman | Exploring Multitask Learning for Low-Resource AbstractiveSummarization | To appear in proceedings of EMNLP 2021 (https://2021.emnlp.org/) | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper explores the effect of using multitask learning for abstractive
summarization in the context of small training corpora. In particular, we
incorporate four different tasks (extractive summarization, language modeling,
concept detection, and paraphrase detection) both individually and in
combination, with th... | [
{
"created": "Fri, 17 Sep 2021 14:23:58 GMT",
"version": "v1"
}
] | 2021-09-20 | [
[
"Magooda",
"Ahmed",
""
],
[
"Elaraby",
"Mohamed",
""
],
[
"Litman",
"Diane",
""
]
] | This paper explores the effect of using multitask learning for abstractive summarization in the context of small training corpora. In particular, we incorporate four different tasks (extractive summarization, language modeling, concept detection, and paraphrase detection) both individually and in combination, with the ... |
2103.12213 | Michael Weber | Michael Weber, Tassilo Wald, J. Marius Z\"ollner | Temporal Feature Networks for CNN based Object Detection | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | For reliable environment perception, the use of temporal information is
essential in some situations. Especially for object detection, sometimes a
situation can only be understood in the right perspective through temporal
information. Since image-based object detectors are currently based almost
exclusively on CNN ar... | [
{
"created": "Mon, 22 Mar 2021 22:39:42 GMT",
"version": "v1"
}
] | 2021-03-24 | [
[
"Weber",
"Michael",
""
],
[
"Wald",
"Tassilo",
""
],
[
"Zöllner",
"J. Marius",
""
]
] | For reliable environment perception, the use of temporal information is essential in some situations. Especially for object detection, sometimes a situation can only be understood in the right perspective through temporal information. Since image-based object detectors are currently based almost exclusively on CNN arch... |
1305.1681 | Yury Makarychev | Konstantin Makarychev, Yury Makarychev, Aravindan Vijayaraghavan | Bilu-Linial Stable Instances of Max Cut and Minimum Multiway Cut | 24 pages | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We investigate the notion of stability proposed by Bilu and Linial. We obtain
an exact polynomial-time algorithm for $\gamma$-stable Max Cut instances with
$\gamma \geq c\sqrt{\log n}\log\log n$ for some absolute constant $c > 0$. Our
algorithm is robust: it never returns an incorrect answer; if the instance is
$\gam... | [
{
"created": "Tue, 7 May 2013 23:54:03 GMT",
"version": "v1"
},
{
"created": "Mon, 8 Jul 2013 13:31:34 GMT",
"version": "v2"
},
{
"created": "Mon, 11 Nov 2013 23:25:58 GMT",
"version": "v3"
}
] | 2013-11-13 | [
[
"Makarychev",
"Konstantin",
""
],
[
"Makarychev",
"Yury",
""
],
[
"Vijayaraghavan",
"Aravindan",
""
]
] | We investigate the notion of stability proposed by Bilu and Linial. We obtain an exact polynomial-time algorithm for $\gamma$-stable Max Cut instances with $\gamma \geq c\sqrt{\log n}\log\log n$ for some absolute constant $c > 0$. Our algorithm is robust: it never returns an incorrect answer; if the instance is $\gamma... |
1012.5625 | Paolo Magrassi | Paolo Magrassi | Free and Open-Source Software is not an Emerging Property but Rather the
Result of Studied Design | null | null | null | null | cs.CY cs.SI | http://creativecommons.org/licenses/by-nc-sa/3.0/ | Free and open source software (FOSS) is considered by many, along with
Wikipedia, the proof of an ongoing paradigm shift from hierarchically-managed
and market-driven production of knowledge to heterarchical, collaborative and
commons-based production styles. In such perspective, it has become common
place to refer t... | [
{
"created": "Mon, 27 Dec 2010 15:23:37 GMT",
"version": "v1"
}
] | 2010-12-30 | [
[
"Magrassi",
"Paolo",
""
]
] | Free and open source software (FOSS) is considered by many, along with Wikipedia, the proof of an ongoing paradigm shift from hierarchically-managed and market-driven production of knowledge to heterarchical, collaborative and commons-based production styles. In such perspective, it has become common place to refer to ... |
1707.05518 | Mohammad Khodaei | Mohammad Khodaei, Hongyu Jin, and Panos Papadimitratos | SECMACE: Scalable and Robust Identity and Credential Management
Infrastructure in Vehicular Communication Systems | 14 pages, 9 figures, 10 tables, IEEE Transactions on Intelligent
Transportation Systems | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Several years of academic and industrial research efforts have converged to a
common understanding on fundamental security building blocks for the upcoming
Vehicular Communication (VC) systems. There is a growing consensus towards
deploying a special-purpose identity and credential management infrastructure,
i.e., a ... | [
{
"created": "Tue, 18 Jul 2017 08:19:32 GMT",
"version": "v1"
}
] | 2017-07-19 | [
[
"Khodaei",
"Mohammad",
""
],
[
"Jin",
"Hongyu",
""
],
[
"Papadimitratos",
"Panos",
""
]
] | Several years of academic and industrial research efforts have converged to a common understanding on fundamental security building blocks for the upcoming Vehicular Communication (VC) systems. There is a growing consensus towards deploying a special-purpose identity and credential management infrastructure, i.e., a Ve... |
2310.14893 | Samuel Ackerman | Dipak Wani, Samuel Ackerman, Eitan Farchi, Xiaotong Liu, Hau-wen
Chang, Sarasi Lalithsena | Data Drift Monitoring for Log Anomaly Detection Pipelines | null | null | null | null | cs.LG cs.SY eess.SY stat.AP | http://creativecommons.org/licenses/by/4.0/ | Logs enable the monitoring of infrastructure status and the performance of
associated applications. Logs are also invaluable for diagnosing the root
causes of any problems that may arise. Log Anomaly Detection (LAD) pipelines
automate the detection of anomalies in logs, providing assistance to site
reliability engine... | [
{
"created": "Tue, 17 Oct 2023 09:10:40 GMT",
"version": "v1"
}
] | 2023-10-24 | [
[
"Wani",
"Dipak",
""
],
[
"Ackerman",
"Samuel",
""
],
[
"Farchi",
"Eitan",
""
],
[
"Liu",
"Xiaotong",
""
],
[
"Chang",
"Hau-wen",
""
],
[
"Lalithsena",
"Sarasi",
""
]
] | Logs enable the monitoring of infrastructure status and the performance of associated applications. Logs are also invaluable for diagnosing the root causes of any problems that may arise. Log Anomaly Detection (LAD) pipelines automate the detection of anomalies in logs, providing assistance to site reliability engineer... |
0902.3056 | Rahul Jain | Rahul Jain, Hartmut Klauck | New Results in the Simultaneous Message Passing Model | 16 pages, version 1 | null | null | null | cs.DC cs.CC cs.IT math.IT quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Consider the following Simultaneous Message Passing (SMP) model for computing
a relation f subset of X x Y x Z. In this model Alice, on input x in X and Bob,
on input y in Y, send one message each to a third party Referee who then
outputs a z in Z such that (x,y,z) in f. We first show optimal 'Direct sum'
results for... | [
{
"created": "Wed, 18 Feb 2009 06:38:51 GMT",
"version": "v1"
}
] | 2009-02-26 | [
[
"Jain",
"Rahul",
""
],
[
"Klauck",
"Hartmut",
""
]
] | Consider the following Simultaneous Message Passing (SMP) model for computing a relation f subset of X x Y x Z. In this model Alice, on input x in X and Bob, on input y in Y, send one message each to a third party Referee who then outputs a z in Z such that (x,y,z) in f. We first show optimal 'Direct sum' results for a... |
1408.1847 | Marc Heinrich | Marc Heinrich and Alexander Munteanu and Christian Sohler | Asymptotically exact streaming algorithms | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a new computational model for data streams: asymptotically exact
streaming algorithms. These algorithms have an approximation ratio that tends
to one as the length of the stream goes to infinity while the memory used by
the algorithm is restricted to polylog(n) size. Thus, the output of the
algorithm is ... | [
{
"created": "Fri, 8 Aug 2014 13:27:31 GMT",
"version": "v1"
}
] | 2014-08-11 | [
[
"Heinrich",
"Marc",
""
],
[
"Munteanu",
"Alexander",
""
],
[
"Sohler",
"Christian",
""
]
] | We introduce a new computational model for data streams: asymptotically exact streaming algorithms. These algorithms have an approximation ratio that tends to one as the length of the stream goes to infinity while the memory used by the algorithm is restricted to polylog(n) size. Thus, the output of the algorithm is op... |
1808.09785 | Farhan Khawar | Farhan Khawar and Nevin L. Zhang | Using Taste Groups for Collaborative Filtering | RecSys 2018 LBRS. arXiv admin note: substantial text overlap with
arXiv:1704.01889 | null | null | null | cs.IR cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Implicit feedback is the simplest form of user feedback that can be used for
item recommendation. It is easy to collect and domain independent. However,
there is a lack of negative examples. Existing works circumvent this problem by
making various assumptions regarding the unconsumed items, which fail to hold
when th... | [
{
"created": "Tue, 28 Aug 2018 15:53:14 GMT",
"version": "v1"
}
] | 2018-08-30 | [
[
"Khawar",
"Farhan",
""
],
[
"Zhang",
"Nevin L.",
""
]
] | Implicit feedback is the simplest form of user feedback that can be used for item recommendation. It is easy to collect and domain independent. However, there is a lack of negative examples. Existing works circumvent this problem by making various assumptions regarding the unconsumed items, which fail to hold when the ... |
1707.06286 | Amin Jourabloo | Amin Jourabloo, Mao Ye, Xiaoming Liu, Liu Ren | Pose-Invariant Face Alignment with a Single CNN | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Face alignment has witnessed substantial progress in the last decade. One of
the recent focuses has been aligning a dense 3D face shape to face images with
large head poses. The dominant technology used is based on the cascade of
regressors, e.g., CNN, which has shown promising results. Nonetheless, the
cascade of CN... | [
{
"created": "Wed, 19 Jul 2017 20:34:08 GMT",
"version": "v1"
}
] | 2017-07-21 | [
[
"Jourabloo",
"Amin",
""
],
[
"Ye",
"Mao",
""
],
[
"Liu",
"Xiaoming",
""
],
[
"Ren",
"Liu",
""
]
] | Face alignment has witnessed substantial progress in the last decade. One of the recent focuses has been aligning a dense 3D face shape to face images with large head poses. The dominant technology used is based on the cascade of regressors, e.g., CNN, which has shown promising results. Nonetheless, the cascade of CNNs... |
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