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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2205.01448 | Chih-Hung Liu | Shengyu Huang, Chih-Hung Liu, Daniel Rutschman | Approximate Selection with Unreliable Comparisons in Optimal Expected
Time | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given $n$ elements, an integer $k$ and a parameter $\varepsilon$, we study to
select an element with rank in $(k-n\varepsilon,k+n\varepsilon]$ using
unreliable comparisons where the outcome of each comparison is incorrect
independently with a constant error probability, and multiple comparisons
between the same pair ... | [
{
"created": "Tue, 3 May 2022 12:20:31 GMT",
"version": "v1"
}
] | 2022-05-04 | [
[
"Huang",
"Shengyu",
""
],
[
"Liu",
"Chih-Hung",
""
],
[
"Rutschman",
"Daniel",
""
]
] | Given $n$ elements, an integer $k$ and a parameter $\varepsilon$, we study to select an element with rank in $(k-n\varepsilon,k+n\varepsilon]$ using unreliable comparisons where the outcome of each comparison is incorrect independently with a constant error probability, and multiple comparisons between the same pair of... |
2306.15755 | Mozhgan Pourkeshavarz | Mozhgan Pourkeshavarz, Mohammad Sabokrou, Amir Rasouli | Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory
Prediction in Autonomous Driving | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In autonomous driving, behavior prediction is fundamental for safe motion
planning, hence the security and robustness of prediction models against
adversarial attacks are of paramount importance. We propose a novel adversarial
backdoor attack against trajectory prediction models as a means of studying
their potential... | [
{
"created": "Tue, 27 Jun 2023 19:15:06 GMT",
"version": "v1"
},
{
"created": "Wed, 22 Nov 2023 16:16:43 GMT",
"version": "v2"
}
] | 2023-11-23 | [
[
"Pourkeshavarz",
"Mozhgan",
""
],
[
"Sabokrou",
"Mohammad",
""
],
[
"Rasouli",
"Amir",
""
]
] | In autonomous driving, behavior prediction is fundamental for safe motion planning, hence the security and robustness of prediction models against adversarial attacks are of paramount importance. We propose a novel adversarial backdoor attack against trajectory prediction models as a means of studying their potential v... |
2408.01999 | Mohamed Chahine Ghanem Dr | Dipo Dunsin, Mohamed Chahine Ghanem, Karim Ouazzane, Vassil Vassilev | Reinforcement Learning for an Efficient and Effective Malware
Investigation during Cyber Incident Response | v1.1 | null | null | null | cs.CR cs.AI cs.ET | http://creativecommons.org/licenses/by/4.0/ | This research focused on enhancing post-incident malware forensic
investigation using reinforcement learning RL. We proposed an advanced MDP post
incident malware forensics investigation model and framework to expedite post
incident forensics. We then implement our RL Malware Investigation Model based
on structured M... | [
{
"created": "Sun, 4 Aug 2024 11:55:24 GMT",
"version": "v1"
}
] | 2024-08-06 | [
[
"Dunsin",
"Dipo",
""
],
[
"Ghanem",
"Mohamed Chahine",
""
],
[
"Ouazzane",
"Karim",
""
],
[
"Vassilev",
"Vassil",
""
]
] | This research focused on enhancing post-incident malware forensic investigation using reinforcement learning RL. We proposed an advanced MDP post incident malware forensics investigation model and framework to expedite post incident forensics. We then implement our RL Malware Investigation Model based on structured MDP... |
2210.08226 | Adriano Cardace | Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele
Salti, Luigi Di Stefano | Self-Distillation for Unsupervised 3D Domain Adaptation | WACV 2023, Project Page:
https://cvlab-unibo.github.io/FeatureDistillation/ | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Point cloud classification is a popular task in 3D vision. However, previous
works, usually assume that point clouds at test time are obtained with the same
procedure or sensor as those at training time. Unsupervised Domain Adaptation
(UDA) instead, breaks this assumption and tries to solve the task on an
unlabeled t... | [
{
"created": "Sat, 15 Oct 2022 08:37:02 GMT",
"version": "v1"
}
] | 2022-10-18 | [
[
"Cardace",
"Adriano",
""
],
[
"Spezialetti",
"Riccardo",
""
],
[
"Ramirez",
"Pierluigi Zama",
""
],
[
"Salti",
"Samuele",
""
],
[
"Di Stefano",
"Luigi",
""
]
] | Point cloud classification is a popular task in 3D vision. However, previous works, usually assume that point clouds at test time are obtained with the same procedure or sensor as those at training time. Unsupervised Domain Adaptation (UDA) instead, breaks this assumption and tries to solve the task on an unlabeled tar... |
1904.12389 | Fang Fang | Fang Fang, Yanqing Xu, Zhiguo Ding, Chao Shen, Mugen Peng, George K.
Karagiannidis | Optimal Task Assignment and Power Allocation for NOMA Mobile-Edge
Computing Networks | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Mobile edge computing (MEC) can enhance the computing capability of mobile
devices, and non-orthogonal multiple access (NOMA) can provide high data rates.
Combining these two technologies can effectively benefit the network with
spectrum and energy efficiency. In this paper, we investigate the task
completion time mi... | [
{
"created": "Sun, 28 Apr 2019 22:14:22 GMT",
"version": "v1"
}
] | 2019-04-30 | [
[
"Fang",
"Fang",
""
],
[
"Xu",
"Yanqing",
""
],
[
"Ding",
"Zhiguo",
""
],
[
"Shen",
"Chao",
""
],
[
"Peng",
"Mugen",
""
],
[
"Karagiannidis",
"George K.",
""
]
] | Mobile edge computing (MEC) can enhance the computing capability of mobile devices, and non-orthogonal multiple access (NOMA) can provide high data rates. Combining these two technologies can effectively benefit the network with spectrum and energy efficiency. In this paper, we investigate the task completion time mini... |
1909.00280 | Yunior Ram\'irez-Cruz | Xihui Chen, Sjouke Mauw, Yunior Ram\'irez-Cruz | Publishing Community-Preserving Attributed Social Graphs with a
Differential Privacy Guarantee | null | Proceedings on Privacy Enhancing Technologies 2020(4):131-152,
2020 | 10.2478/popets-2020-0066 | null | cs.SI cs.CR physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a novel method for publishing differentially private synthetic
attributed graphs. Unlike preceding approaches, our method is able to preserve
the community structure of the original graph without sacrificing the ability
to capture global structural properties. Our proposal relies on C-AGM, a new
community-... | [
{
"created": "Sat, 31 Aug 2019 20:16:51 GMT",
"version": "v1"
}
] | 2020-09-15 | [
[
"Chen",
"Xihui",
""
],
[
"Mauw",
"Sjouke",
""
],
[
"Ramírez-Cruz",
"Yunior",
""
]
] | We present a novel method for publishing differentially private synthetic attributed graphs. Unlike preceding approaches, our method is able to preserve the community structure of the original graph without sacrificing the ability to capture global structural properties. Our proposal relies on C-AGM, a new community-pr... |
2405.16311 | Agathe Balayn | Agathe Balayn, Lorenzo Corti, Fanny Rancourt, Fabio Casati, Ujwal
Gadiraju | Understanding Stakeholders' Perceptions and Needs Across the LLM Supply
Chain | Paper accepted at the HCXAI workshop, co-located with CHI'24 | null | null | null | cs.HC | http://creativecommons.org/licenses/by/4.0/ | Explainability and transparency of AI systems are undeniably important,
leading to several research studies and tools addressing them. Existing works
fall short of accounting for the diverse stakeholders of the AI supply chain
who may differ in their needs and consideration of the facets of explainability
and transpa... | [
{
"created": "Sat, 25 May 2024 17:41:56 GMT",
"version": "v1"
}
] | 2024-05-28 | [
[
"Balayn",
"Agathe",
""
],
[
"Corti",
"Lorenzo",
""
],
[
"Rancourt",
"Fanny",
""
],
[
"Casati",
"Fabio",
""
],
[
"Gadiraju",
"Ujwal",
""
]
] | Explainability and transparency of AI systems are undeniably important, leading to several research studies and tools addressing them. Existing works fall short of accounting for the diverse stakeholders of the AI supply chain who may differ in their needs and consideration of the facets of explainability and transpare... |
1910.11028 | Jimmy Lin | Jimmy Lin, Lori Paniak, and Gordon Boerke | The Performance Envelope of Inverted Indexing on Modern Hardware | null | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper explores the performance envelope of "traditional" inverted
indexing on modern hardware using the implementation in the open-source Lucene
search library. We benchmark indexing throughput on a single high-end
multi-core commodity server in a number of configurations varying the media of
the source collecti... | [
{
"created": "Thu, 24 Oct 2019 11:04:59 GMT",
"version": "v1"
},
{
"created": "Mon, 28 Oct 2019 01:45:15 GMT",
"version": "v2"
}
] | 2019-10-29 | [
[
"Lin",
"Jimmy",
""
],
[
"Paniak",
"Lori",
""
],
[
"Boerke",
"Gordon",
""
]
] | This paper explores the performance envelope of "traditional" inverted indexing on modern hardware using the implementation in the open-source Lucene search library. We benchmark indexing throughput on a single high-end multi-core commodity server in a number of configurations varying the media of the source collection... |
2210.06111 | Jinghan Peng | Yu Zheng, Jinghan Peng, Miao Zhao, Yufeng Ma, Min Liu, Xinyue Ma,
Tianyu Liang, Tianlong Kong, Liang He, Minqiang Xu | THUEE system description for NIST 2020 SRE CTS challenge | 3 pages, 1 table; System desciption of NIST 2020 SRE CTS challenge | null | null | null | cs.SD cs.AI eess.AS eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents the system description of the THUEE team for the NIST
2020 Speaker Recognition Evaluation (SRE) conversational telephone speech (CTS)
challenge. The subsystems including ResNet74, ResNet152, and RepVGG-B2 are
developed as speaker embedding extractors in this evaluation. We used combined
AM-Softmax... | [
{
"created": "Wed, 12 Oct 2022 12:01:59 GMT",
"version": "v1"
}
] | 2022-10-13 | [
[
"Zheng",
"Yu",
""
],
[
"Peng",
"Jinghan",
""
],
[
"Zhao",
"Miao",
""
],
[
"Ma",
"Yufeng",
""
],
[
"Liu",
"Min",
""
],
[
"Ma",
"Xinyue",
""
],
[
"Liang",
"Tianyu",
""
],
[
"Kong",
"Tianlong",
... | This paper presents the system description of the THUEE team for the NIST 2020 Speaker Recognition Evaluation (SRE) conversational telephone speech (CTS) challenge. The subsystems including ResNet74, ResNet152, and RepVGG-B2 are developed as speaker embedding extractors in this evaluation. We used combined AM-Softmax a... |
1711.06448 | Jie Chang | Jie Chang, Yujun Gu, Ya Zhang | Chinese Typeface Transformation with Hierarchical Adversarial Network | 8 pages(exclude reference), 6 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we explore automated typeface generation through image style
transfer which has shown great promise in natural image generation. Existing
style transfer methods for natural images generally assume that the source and
target images share similar high-frequency features. However, this assumption
is no lo... | [
{
"created": "Fri, 17 Nov 2017 08:05:49 GMT",
"version": "v1"
}
] | 2017-11-20 | [
[
"Chang",
"Jie",
""
],
[
"Gu",
"Yujun",
""
],
[
"Zhang",
"Ya",
""
]
] | In this paper, we explore automated typeface generation through image style transfer which has shown great promise in natural image generation. Existing style transfer methods for natural images generally assume that the source and target images share similar high-frequency features. However, this assumption is no long... |
2204.07619 | Max Winkelmann | Max Winkelmann, Constantin Vasconi, Steffen M\"uller | Transfer Importance Sampling -- How Testing Automated Vehicles in
Multiple Test Setups Helps With the Bias-Variance Tradeoff | 6 pages, 5 figures, 1 table | 2022 IEEE 25th International Conference on Intelligent
Transportation Systems (ITSC), Oct. 2022, pp. 26-31 | 10.1109/ITSC55140.2022.9922091 | null | cs.RO cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The promise of increased road safety is a key motivator for the development
of automated vehicles (AV). Yet, demonstrating that an AV is as safe as, or
even safer than, a human-driven vehicle has proven to be challenging. Should an
AV be examined purely virtually, allowing large numbers of fully controllable
tests? O... | [
{
"created": "Fri, 15 Apr 2022 19:24:38 GMT",
"version": "v1"
},
{
"created": "Fri, 4 Nov 2022 16:28:10 GMT",
"version": "v2"
}
] | 2022-11-07 | [
[
"Winkelmann",
"Max",
""
],
[
"Vasconi",
"Constantin",
""
],
[
"Müller",
"Steffen",
""
]
] | The promise of increased road safety is a key motivator for the development of automated vehicles (AV). Yet, demonstrating that an AV is as safe as, or even safer than, a human-driven vehicle has proven to be challenging. Should an AV be examined purely virtually, allowing large numbers of fully controllable tests? Or ... |
1509.08254 | Laura Luzzi | Laura Luzzi, Roope Vehkalahti and Alexander Gorodnik | Towards a complete DMT classification of division algebra codes | 7 pages, 1 figure, conference version | null | null | null | cs.IT math.IT math.NT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work aims at providing new bounds for the diversity multiplexing gain
trade-off of a general class of division algebra based lattice codes. In the
low multiplexing gain regime, some bounds were previously obtained from the
high signal-to-noise ratio estimate of the union bound for the pairwise error
probabilitie... | [
{
"created": "Mon, 28 Sep 2015 09:46:17 GMT",
"version": "v1"
}
] | 2015-09-29 | [
[
"Luzzi",
"Laura",
""
],
[
"Vehkalahti",
"Roope",
""
],
[
"Gorodnik",
"Alexander",
""
]
] | This work aims at providing new bounds for the diversity multiplexing gain trade-off of a general class of division algebra based lattice codes. In the low multiplexing gain regime, some bounds were previously obtained from the high signal-to-noise ratio estimate of the union bound for the pairwise error probabilities.... |
2401.02634 | Thanh Nhat Huy Nguyen | Huy Nguyen, Kien Nguyen, Sridha Sridharan, Clinton Fookes | AG-ReID.v2: Bridging Aerial and Ground Views for Person
Re-identification | 13 pages, Accepted by TIFS 2023 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Aerial-ground person re-identification (Re-ID) presents unique challenges in
computer vision, stemming from the distinct differences in viewpoints, poses,
and resolutions between high-altitude aerial and ground-based cameras. Existing
research predominantly focuses on ground-to-ground matching, with aerial
matching l... | [
{
"created": "Fri, 5 Jan 2024 04:53:33 GMT",
"version": "v1"
},
{
"created": "Sun, 7 Apr 2024 22:18:52 GMT",
"version": "v2"
}
] | 2024-04-09 | [
[
"Nguyen",
"Huy",
""
],
[
"Nguyen",
"Kien",
""
],
[
"Sridharan",
"Sridha",
""
],
[
"Fookes",
"Clinton",
""
]
] | Aerial-ground person re-identification (Re-ID) presents unique challenges in computer vision, stemming from the distinct differences in viewpoints, poses, and resolutions between high-altitude aerial and ground-based cameras. Existing research predominantly focuses on ground-to-ground matching, with aerial matching les... |
2209.13865 | Siyu Long | Siyu Long, Yi Zhou, Xinyu Dai, Hao Zhou | Zero-Shot 3D Drug Design by Sketching and Generating | NeurIPS 2022 camera-ready | null | null | null | cs.CE q-bio.BM | http://creativecommons.org/licenses/by-sa/4.0/ | Drug design is a crucial step in the drug discovery cycle. Recently, various
deep learning-based methods design drugs by generating novel molecules from
scratch, avoiding traversing large-scale drug libraries. However, they depend
on scarce experimental data or time-consuming docking simulation, leading to
overfittin... | [
{
"created": "Wed, 28 Sep 2022 06:43:14 GMT",
"version": "v1"
},
{
"created": "Tue, 4 Oct 2022 08:47:39 GMT",
"version": "v2"
}
] | 2024-03-05 | [
[
"Long",
"Siyu",
""
],
[
"Zhou",
"Yi",
""
],
[
"Dai",
"Xinyu",
""
],
[
"Zhou",
"Hao",
""
]
] | Drug design is a crucial step in the drug discovery cycle. Recently, various deep learning-based methods design drugs by generating novel molecules from scratch, avoiding traversing large-scale drug libraries. However, they depend on scarce experimental data or time-consuming docking simulation, leading to overfitting ... |
2402.16889 | Aditya Desu | Aditya Desu, Xuanli He, Qiongkai Xu, Wei Lu | Generative Models are Self-Watermarked: Declaring Model Authentication
through Re-Generation | null | null | null | null | cs.LG cs.AI cs.CR | http://creativecommons.org/licenses/by-nc-nd/4.0/ | As machine- and AI-generated content proliferates, protecting the
intellectual property of generative models has become imperative, yet verifying
data ownership poses formidable challenges, particularly in cases of
unauthorized reuse of generated data. The challenge of verifying data ownership
is further amplified by... | [
{
"created": "Fri, 23 Feb 2024 10:48:21 GMT",
"version": "v1"
}
] | 2024-02-28 | [
[
"Desu",
"Aditya",
""
],
[
"He",
"Xuanli",
""
],
[
"Xu",
"Qiongkai",
""
],
[
"Lu",
"Wei",
""
]
] | As machine- and AI-generated content proliferates, protecting the intellectual property of generative models has become imperative, yet verifying data ownership poses formidable challenges, particularly in cases of unauthorized reuse of generated data. The challenge of verifying data ownership is further amplified by u... |
2006.04969 | Heiko Hamann | Heiko Hamann and Andreagiovanni Reina | Scalability in Computing and Robotics | 33 pages, 8 figures | null | 10.1109/TC.2021.3089044 | null | cs.DC cs.MA cs.PF cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Efficient engineered systems require scalability. A scalable system has
increasing performance with increasing system size. In an ideal case, the
increase in performance (e.g., speedup) corresponds to the number of units that
are added to the system. However, if multiple units work on the same task, then
coordination... | [
{
"created": "Mon, 8 Jun 2020 22:28:59 GMT",
"version": "v1"
},
{
"created": "Fri, 11 Jun 2021 14:25:50 GMT",
"version": "v2"
}
] | 2021-06-14 | [
[
"Hamann",
"Heiko",
""
],
[
"Reina",
"Andreagiovanni",
""
]
] | Efficient engineered systems require scalability. A scalable system has increasing performance with increasing system size. In an ideal case, the increase in performance (e.g., speedup) corresponds to the number of units that are added to the system. However, if multiple units work on the same task, then coordination a... |
2311.07946 | Adam Piaseczny | Adam Piaseczny, Eric Ruzomberka, Rohit Parasnis, Christopher G.
Brinton | The Impact of Adversarial Node Placement in Decentralized Federated
Learning Networks | Accepted to ICC 2024 conference | null | null | null | cs.CR cs.AI cs.MA | http://creativecommons.org/licenses/by/4.0/ | As Federated Learning (FL) grows in popularity, new decentralized frameworks
are becoming widespread. These frameworks leverage the benefits of
decentralized environments to enable fast and energy-efficient inter-device
communication. However, this growing popularity also intensifies the need for
robust security meas... | [
{
"created": "Tue, 14 Nov 2023 06:48:50 GMT",
"version": "v1"
},
{
"created": "Mon, 8 Jan 2024 15:50:24 GMT",
"version": "v2"
},
{
"created": "Thu, 11 Jan 2024 21:07:25 GMT",
"version": "v3"
},
{
"created": "Tue, 19 Mar 2024 19:25:21 GMT",
"version": "v4"
}
] | 2024-03-21 | [
[
"Piaseczny",
"Adam",
""
],
[
"Ruzomberka",
"Eric",
""
],
[
"Parasnis",
"Rohit",
""
],
[
"Brinton",
"Christopher G.",
""
]
] | As Federated Learning (FL) grows in popularity, new decentralized frameworks are becoming widespread. These frameworks leverage the benefits of decentralized environments to enable fast and energy-efficient inter-device communication. However, this growing popularity also intensifies the need for robust security measur... |
2311.06783 | Haoning Wu Mr | Haoning Wu, Zicheng Zhang, Erli Zhang, Chaofeng Chen, Liang Liao,
Annan Wang, Kaixin Xu, Chunyi Li, Jingwen Hou, Guangtao Zhai, Geng Xue,
Wenxiu Sun, Qiong Yan, Weisi Lin | Q-Instruct: Improving Low-level Visual Abilities for Multi-modality
Foundation Models | 16 pages, 11 figures, page 12-16 as appendix | null | null | null | cs.CV cs.MM | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Multi-modality foundation models, as represented by GPT-4V, have brought a
new paradigm for low-level visual perception and understanding tasks, that can
respond to a broad range of natural human instructions in a model. While
existing foundation models have shown exciting potentials on low-level visual
tasks, their ... | [
{
"created": "Sun, 12 Nov 2023 09:10:51 GMT",
"version": "v1"
}
] | 2023-11-14 | [
[
"Wu",
"Haoning",
""
],
[
"Zhang",
"Zicheng",
""
],
[
"Zhang",
"Erli",
""
],
[
"Chen",
"Chaofeng",
""
],
[
"Liao",
"Liang",
""
],
[
"Wang",
"Annan",
""
],
[
"Xu",
"Kaixin",
""
],
[
"Li",
"Chunyi"... | Multi-modality foundation models, as represented by GPT-4V, have brought a new paradigm for low-level visual perception and understanding tasks, that can respond to a broad range of natural human instructions in a model. While existing foundation models have shown exciting potentials on low-level visual tasks, their re... |
2212.14071 | M. Tu\u{g}berk \.I\c{s}yapar | M. Tu\u{g}berk \.I\c{s}yapar, Ufuk Uyan, Mahiye Uluya\u{g}mur
\"Ozt\"urk | Large-Scale Cell-Level Quality of Service Estimation on 5G Networks
Using Machine Learning Techniques | null | null | null | null | cs.LG cs.AI cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This study presents a general machine learning framework to estimate the
traffic-measurement-level experience rate at given throughput values in the
form of a Key Performance Indicator for the cells on base stations across
various cities, using busy-hour counter data, and several technical parameters
together with th... | [
{
"created": "Wed, 28 Dec 2022 19:14:03 GMT",
"version": "v1"
},
{
"created": "Fri, 6 Jan 2023 14:45:53 GMT",
"version": "v2"
}
] | 2023-01-09 | [
[
"İşyapar",
"M. Tuğberk",
""
],
[
"Uyan",
"Ufuk",
""
],
[
"Öztürk",
"Mahiye Uluyağmur",
""
]
] | This study presents a general machine learning framework to estimate the traffic-measurement-level experience rate at given throughput values in the form of a Key Performance Indicator for the cells on base stations across various cities, using busy-hour counter data, and several technical parameters together with the ... |
2011.08045 | Johann Laconte | Johann Laconte, Abderrahim Kasmi, Fran\c{c}ois Pomerleau, Roland
Chapuis, Laurent Malaterre, Christophe Debain and Romuald Aufr\`ere | A Novel Occupancy Mapping Framework for Risk-Aware Path Planning in
Unstructured Environments | Published in the Special Issue "Frontiers in Mobile Robot Navigation"
of Sensors. https://www.mdpi.com/1424-8220/21/22/7562 | Sensors 2021, 21, 7562 | 10.3390/s21227562 | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | In the context of autonomous robots, one of the most important tasks is to
prevent potential damage to the robot during navigation. For this purpose, it
is often assumed that one must deal with known probabilistic obstacles, then
compute the probability of collision with each obstacle. However, in complex
scenarios o... | [
{
"created": "Mon, 16 Nov 2020 15:52:40 GMT",
"version": "v1"
},
{
"created": "Tue, 30 Nov 2021 14:19:48 GMT",
"version": "v2"
}
] | 2021-12-01 | [
[
"Laconte",
"Johann",
""
],
[
"Kasmi",
"Abderrahim",
""
],
[
"Pomerleau",
"François",
""
],
[
"Chapuis",
"Roland",
""
],
[
"Malaterre",
"Laurent",
""
],
[
"Debain",
"Christophe",
""
],
[
"Aufrère",
"Romuald",
... | In the context of autonomous robots, one of the most important tasks is to prevent potential damage to the robot during navigation. For this purpose, it is often assumed that one must deal with known probabilistic obstacles, then compute the probability of collision with each obstacle. However, in complex scenarios or ... |
2211.14449 | Gabriele Prato | Gabriele Prato, Yale Song, Janarthanan Rajendran, R Devon Hjelm, Neel
Joshi, Sarath Chandar | PatchBlender: A Motion Prior for Video Transformers | null | null | null | null | cs.CV cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Transformers have become one of the dominant architectures in the field of
computer vision. However, there are yet several challenges when applying such
architectures to video data. Most notably, these models struggle to model the
temporal patterns of video data effectively. Directly targeting this issue, we
introduc... | [
{
"created": "Fri, 11 Nov 2022 14:43:16 GMT",
"version": "v1"
},
{
"created": "Fri, 10 Feb 2023 19:01:14 GMT",
"version": "v2"
}
] | 2023-02-14 | [
[
"Prato",
"Gabriele",
""
],
[
"Song",
"Yale",
""
],
[
"Rajendran",
"Janarthanan",
""
],
[
"Hjelm",
"R Devon",
""
],
[
"Joshi",
"Neel",
""
],
[
"Chandar",
"Sarath",
""
]
] | Transformers have become one of the dominant architectures in the field of computer vision. However, there are yet several challenges when applying such architectures to video data. Most notably, these models struggle to model the temporal patterns of video data effectively. Directly targeting this issue, we introduce ... |
2111.04309 | Dung Truong | Dung Truong, Scott Makeig, Arnaud Delorme | Assessing learned features of Deep Learning applied to EEG | null | null | null | null | cs.LG eess.SP | http://creativecommons.org/licenses/by/4.0/ | Convolutional Neural Networks (CNNs) have achieved impressive performance on
many computer vision related tasks, such as object detection, image
recognition, image retrieval, etc. These achievements benefit from the CNNs'
outstanding capability to learn discriminative features with deep layers of
neuron structures an... | [
{
"created": "Mon, 8 Nov 2021 07:43:40 GMT",
"version": "v1"
}
] | 2021-11-09 | [
[
"Truong",
"Dung",
""
],
[
"Makeig",
"Scott",
""
],
[
"Delorme",
"Arnaud",
""
]
] | Convolutional Neural Networks (CNNs) have achieved impressive performance on many computer vision related tasks, such as object detection, image recognition, image retrieval, etc. These achievements benefit from the CNNs' outstanding capability to learn discriminative features with deep layers of neuron structures and ... |
0903.5045 | Amelia Sparavigna | Amelia Sparavigna | Digital Restoration of Ancient Papyri | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Image processing can be used for digital restoration of ancient papyri, that
is, for a restoration performed on their digital images. The digital
manipulation allows reducing the background signals and enhancing the
readability of texts. In the case of very old and damaged documents, this is
fundamental for identific... | [
{
"created": "Mon, 30 Mar 2009 06:00:15 GMT",
"version": "v1"
}
] | 2009-03-31 | [
[
"Sparavigna",
"Amelia",
""
]
] | Image processing can be used for digital restoration of ancient papyri, that is, for a restoration performed on their digital images. The digital manipulation allows reducing the background signals and enhancing the readability of texts. In the case of very old and damaged documents, this is fundamental for identificat... |
2305.00600 | Vamsi Krishna Yepuri | Vamsi Krishna Yepuri, Venkata Kalyan Polamarasetty, Shivani Donthi,
Ajay Kumar Reddy Gondi | Containerization of a polyglot microservice application using Docker and
Kubernetes | null | null | null | null | cs.SE cs.PF | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This project investigates the benefits of containerization technology in
modern software development and deployment. The study emphasizes the advantages
of using Kubernetes and Docker in the development process, including the easy
packaging and deployment of microservices, efficient resource utilization,
faster start... | [
{
"created": "Sun, 30 Apr 2023 23:28:47 GMT",
"version": "v1"
}
] | 2023-05-02 | [
[
"Yepuri",
"Vamsi Krishna",
""
],
[
"Polamarasetty",
"Venkata Kalyan",
""
],
[
"Donthi",
"Shivani",
""
],
[
"Gondi",
"Ajay Kumar Reddy",
""
]
] | This project investigates the benefits of containerization technology in modern software development and deployment. The study emphasizes the advantages of using Kubernetes and Docker in the development process, including the easy packaging and deployment of microservices, efficient resource utilization, faster startup... |
1912.03746 | Lucas Gren | Lucas Gren | A Flipped Classroom Approach to Teaching Empirical Software Engineering | IEEE Transactions on Education, Preprint December 8, 2019 | null | 10.1109/TE.2019.2960264 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Contribution: A flipped classroom approach to teaching empirical software
engineering increases student learning by providing more time for active
learning in class. Background: There is a need for longitudinal studies of the
flipped classroom approach in general. Although a few cross-sectional studies
show that a fl... | [
{
"created": "Sun, 8 Dec 2019 19:32:17 GMT",
"version": "v1"
},
{
"created": "Sat, 14 Dec 2019 07:03:14 GMT",
"version": "v2"
}
] | 2020-01-13 | [
[
"Gren",
"Lucas",
""
]
] | Contribution: A flipped classroom approach to teaching empirical software engineering increases student learning by providing more time for active learning in class. Background: There is a need for longitudinal studies of the flipped classroom approach in general. Although a few cross-sectional studies show that a flip... |
1607.06787 | Enzo Ferrante | Mahsa Shakeri (2 and 4), Enzo Ferrante (1), Stavros Tsogkas (1), Sarah
Lippe (3 and 4), Samuel Kadoury (2 and 4), Iasonas Kokkinos (1), Nikos
Paragios (1) ((1) CVN, CentraleSupelec-Inria, Universite Paris-Saclay,
France, (2) Polytechnique Montreal, Canada (3) University of Montreal, Canada
(4) CHU Sainte-Justin... | Prior-based Coregistration and Cosegmentation | The first two authors contributed equally | MICCAI 2016 | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a modular and scalable framework for dense coregistration and
cosegmentation with two key characteristics: first, we substitute ground truth
data with the semantic map output of a classifier; second, we combine this
output with population deformable registration to improve both alignment and
segmentation. ... | [
{
"created": "Fri, 22 Jul 2016 18:49:09 GMT",
"version": "v1"
}
] | 2016-07-25 | [
[
"Shakeri",
"Mahsa",
"",
"2 and 4"
],
[
"Ferrante",
"Enzo",
"",
"3 and 4"
],
[
"Tsogkas",
"Stavros",
"",
"3 and 4"
],
[
"Lippe",
"Sarah",
"",
"3 and 4"
],
[
"Kadoury",
"Samuel",
"",
"2 and 4"
],
[
"Kokkinos",
... | We propose a modular and scalable framework for dense coregistration and cosegmentation with two key characteristics: first, we substitute ground truth data with the semantic map output of a classifier; second, we combine this output with population deformable registration to improve both alignment and segmentation. Ou... |
2403.09477 | Cornelius von Einem | Nicolaj Schmid, Cornelius von Einem, Cesar Cadena, Roland Siegwart,
Lorenz Hruby, Florian Tschopp | VIRUS-NeRF -- Vision, InfraRed and UltraSonic based Neural Radiance
Fields | null | null | null | null | cs.RO cs.CV cs.LG eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Autonomous mobile robots are an increasingly integral part of modern factory
and warehouse operations. Obstacle detection, avoidance and path planning are
critical safety-relevant tasks, which are often solved using expensive LiDAR
sensors and depth cameras. We propose to use cost-effective low-resolution
ranging sen... | [
{
"created": "Thu, 14 Mar 2024 15:19:19 GMT",
"version": "v1"
},
{
"created": "Wed, 14 Aug 2024 12:43:52 GMT",
"version": "v2"
}
] | 2024-08-15 | [
[
"Schmid",
"Nicolaj",
""
],
[
"von Einem",
"Cornelius",
""
],
[
"Cadena",
"Cesar",
""
],
[
"Siegwart",
"Roland",
""
],
[
"Hruby",
"Lorenz",
""
],
[
"Tschopp",
"Florian",
""
]
] | Autonomous mobile robots are an increasingly integral part of modern factory and warehouse operations. Obstacle detection, avoidance and path planning are critical safety-relevant tasks, which are often solved using expensive LiDAR sensors and depth cameras. We propose to use cost-effective low-resolution ranging senso... |
2004.07031 | Guotai Wang | Qi Duan, Guotai Wang, Rui Wang, Chao Fu, Xinjun Li, Na Wang, Yechong
Huang, Xiaodi Huang, Tao Song, Liang Zhao, Xinglong Liu, Qing Xia, Zhiqiang
Hu, Yinan Chen and Shaoting Zhang | SenseCare: A Research Platform for Medical Image Informatics and
Interactive 3D Visualization | 15 pages, 16 figures | null | null | null | cs.HC eess.IV | http://creativecommons.org/licenses/by/4.0/ | Clinical research on smart health has an increasing demand for intelligent
and clinic-oriented medical image computing algorithms and platforms that
support various applications. To this end, we have developed SenseCare research
platform, which is designed to facilitate translational research on intelligent
diagnosis... | [
{
"created": "Fri, 3 Apr 2020 03:17:04 GMT",
"version": "v1"
},
{
"created": "Fri, 2 Sep 2022 13:03:13 GMT",
"version": "v2"
}
] | 2022-09-05 | [
[
"Duan",
"Qi",
""
],
[
"Wang",
"Guotai",
""
],
[
"Wang",
"Rui",
""
],
[
"Fu",
"Chao",
""
],
[
"Li",
"Xinjun",
""
],
[
"Wang",
"Na",
""
],
[
"Huang",
"Yechong",
""
],
[
"Huang",
"Xiaodi",
""
... | Clinical research on smart health has an increasing demand for intelligent and clinic-oriented medical image computing algorithms and platforms that support various applications. To this end, we have developed SenseCare research platform, which is designed to facilitate translational research on intelligent diagnosis a... |
0905.2367 | Zhe Chen | Zhe Chen, Gilles Motet | A Language-theoretic View on Guidelines and Consistency Rules of UML | 16 pages. In Proceedings of the 5th European Conference on Model
Driven Architecture - Foundations and Applications (ECMDA-FA 2009), Enschede,
The Netherlands, Lecture Notes in Computer Science 5562, pp. 66-81. Springer,
2009 | null | null | null | cs.SE cs.FL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Guidelines and consistency rules of UML are used to control the degrees of
freedom provided by the language to prevent faults. Guidelines are used in
specific domains (e.g., avionics) to recommend the proper use of technologies.
Consistency rules are used to deal with inconsistencies in models. However,
guidelines an... | [
{
"created": "Thu, 14 May 2009 16:13:48 GMT",
"version": "v1"
}
] | 2009-05-15 | [
[
"Chen",
"Zhe",
""
],
[
"Motet",
"Gilles",
""
]
] | Guidelines and consistency rules of UML are used to control the degrees of freedom provided by the language to prevent faults. Guidelines are used in specific domains (e.g., avionics) to recommend the proper use of technologies. Consistency rules are used to deal with inconsistencies in models. However, guidelines and ... |
1908.06258 | Tianyu He | Tianyu He, Jiale Chen, Xu Tan, Tao Qin | Language Graph Distillation for Low-Resource Machine Translation | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neural machine translation on low-resource language is challenging due to the
lack of bilingual sentence pairs. Previous works usually solve the low-resource
translation problem with knowledge transfer in a multilingual setting. In this
paper, we propose the concept of Language Graph and further design a novel
graph ... | [
{
"created": "Sat, 17 Aug 2019 08:01:05 GMT",
"version": "v1"
}
] | 2019-08-20 | [
[
"He",
"Tianyu",
""
],
[
"Chen",
"Jiale",
""
],
[
"Tan",
"Xu",
""
],
[
"Qin",
"Tao",
""
]
] | Neural machine translation on low-resource language is challenging due to the lack of bilingual sentence pairs. Previous works usually solve the low-resource translation problem with knowledge transfer in a multilingual setting. In this paper, we propose the concept of Language Graph and further design a novel graph di... |
1912.11278 | Reid McIlroy-Young | Reid McIlroy-Young and Ashton Anderson | From Welcome New Gabbers to the Pittsburgh Synagogue Shooting: The
Evolution of Gab | null | Proceedings of the International AAAI Conference on Web and Social
Media, 13(01), 651-654 2019 | null | null | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Gab, an online social media platform with very little content moderation, has
recently come to prominence as an alt-right community and a haven for hate
speech. We document the evolution of Gab since its inception until a Gab user
carried out the most deadly attack on the Jewish community in US history. We
investigat... | [
{
"created": "Tue, 24 Dec 2019 10:19:18 GMT",
"version": "v1"
}
] | 2019-12-25 | [
[
"McIlroy-Young",
"Reid",
""
],
[
"Anderson",
"Ashton",
""
]
] | Gab, an online social media platform with very little content moderation, has recently come to prominence as an alt-right community and a haven for hate speech. We document the evolution of Gab since its inception until a Gab user carried out the most deadly attack on the Jewish community in US history. We investigate ... |
1401.4234 | Xiang Zuo | Xiang Zuo and Jeremy Blackburn and Nicolas Kourtellis and John
Skvoretz and Adriana Iamnitchi | The power of indirect social ties | Technical Report | null | null | null | cs.SI physics.soc-ph | http://creativecommons.org/licenses/by/3.0/ | While direct social ties have been intensely studied in the context of
computer-mediated social networks, indirect ties (e.g., friends of friends)
have seen little attention. Yet in real life, we often rely on friends of our
friends for recommendations (of good doctors, good schools, or good
babysitters), for introdu... | [
{
"created": "Fri, 17 Jan 2014 03:56:03 GMT",
"version": "v1"
}
] | 2014-01-20 | [
[
"Zuo",
"Xiang",
""
],
[
"Blackburn",
"Jeremy",
""
],
[
"Kourtellis",
"Nicolas",
""
],
[
"Skvoretz",
"John",
""
],
[
"Iamnitchi",
"Adriana",
""
]
] | While direct social ties have been intensely studied in the context of computer-mediated social networks, indirect ties (e.g., friends of friends) have seen little attention. Yet in real life, we often rely on friends of our friends for recommendations (of good doctors, good schools, or good babysitters), for introduct... |
2307.12775 | Giorgos Papanastasiou | Giorgos Papanastasiou, Nikolaos Dikaios, Jiahao Huang, Chengjia Wang,
Guang Yang | Is attention all you need in medical image analysis? A review | null | null | 10.1109/JBHI.2023.3348436 | null | cs.CV cs.AI cs.LG eess.IV | http://creativecommons.org/licenses/by-sa/4.0/ | Medical imaging is a key component in clinical diagnosis, treatment planning
and clinical trial design, accounting for almost 90% of all healthcare data.
CNNs achieved performance gains in medical image analysis (MIA) over the last
years. CNNs can efficiently model local pixel interactions and be trained on
small-sca... | [
{
"created": "Mon, 24 Jul 2023 13:24:56 GMT",
"version": "v1"
}
] | 2024-02-13 | [
[
"Papanastasiou",
"Giorgos",
""
],
[
"Dikaios",
"Nikolaos",
""
],
[
"Huang",
"Jiahao",
""
],
[
"Wang",
"Chengjia",
""
],
[
"Yang",
"Guang",
""
]
] | Medical imaging is a key component in clinical diagnosis, treatment planning and clinical trial design, accounting for almost 90% of all healthcare data. CNNs achieved performance gains in medical image analysis (MIA) over the last years. CNNs can efficiently model local pixel interactions and be trained on small-scale... |
1811.02309 | Ali Reihanian | Ali Reihanian, Mohammad-Reza Feizi-Derakhshi, Hadi S. Aghdasi | An Enhanced Multi-Objective Biogeography-Based Optimization for
Overlapping Community Detection in Social Networks with Node Attributes | 1. This paper has been published in the journal of "Information
Sciences". 2. https://doi.org/10.1016/j.ins.2022.11.125 | Information Sciences, 622, pp.903-929 (2023) | 10.1016/j.ins.2022.11.125 | null | cs.SI cs.NE | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Community detection is one of the most important and interesting issues in
social network analysis. In recent years, simultaneous considering of nodes'
attributes and topological structures of social networks in the process of
community detection has attracted the attentions of many scholars, and this
consideration h... | [
{
"created": "Tue, 6 Nov 2018 12:09:36 GMT",
"version": "v1"
},
{
"created": "Mon, 15 Nov 2021 22:10:16 GMT",
"version": "v2"
},
{
"created": "Wed, 28 Dec 2022 11:16:14 GMT",
"version": "v3"
}
] | 2022-12-29 | [
[
"Reihanian",
"Ali",
""
],
[
"Feizi-Derakhshi",
"Mohammad-Reza",
""
],
[
"Aghdasi",
"Hadi S.",
""
]
] | Community detection is one of the most important and interesting issues in social network analysis. In recent years, simultaneous considering of nodes' attributes and topological structures of social networks in the process of community detection has attracted the attentions of many scholars, and this consideration has... |
2103.02282 | Milan Stute | Alexander Heinrich, Milan Stute, Tim Kornhuber, Matthias Hollick | Who Can Find My Devices? Security and Privacy of Apple's Crowd-Sourced
Bluetooth Location Tracking System | Accepted at Privacy Enhancing Technologies Symposium (PETS) 2021 | null | null | null | cs.CR cs.NI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Overnight, Apple has turned its hundreds-of-million-device ecosystem into the
world's largest crowd-sourced location tracking network called offline finding
(OF). OF leverages online finder devices to detect the presence of missing
offline devices using Bluetooth and report an approximate location back to the
owner v... | [
{
"created": "Wed, 3 Mar 2021 09:46:34 GMT",
"version": "v1"
}
] | 2021-03-04 | [
[
"Heinrich",
"Alexander",
""
],
[
"Stute",
"Milan",
""
],
[
"Kornhuber",
"Tim",
""
],
[
"Hollick",
"Matthias",
""
]
] | Overnight, Apple has turned its hundreds-of-million-device ecosystem into the world's largest crowd-sourced location tracking network called offline finding (OF). OF leverages online finder devices to detect the presence of missing offline devices using Bluetooth and report an approximate location back to the owner via... |
2305.06448 | Nikhil Churamani | Nikhil Churamani, Tolga Dimlioglu, German I. Parisi and Hatice Gunes | Continual Facial Expression Recognition: A Benchmark | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Understanding human affective behaviour, especially in the dynamics of
real-world settings, requires Facial Expression Recognition (FER) models to
continuously adapt to individual differences in user expression, contextual
attributions, and the environment. Current (deep) Machine Learning (ML)-based
FER approaches pr... | [
{
"created": "Wed, 10 May 2023 20:35:38 GMT",
"version": "v1"
}
] | 2023-05-12 | [
[
"Churamani",
"Nikhil",
""
],
[
"Dimlioglu",
"Tolga",
""
],
[
"Parisi",
"German I.",
""
],
[
"Gunes",
"Hatice",
""
]
] | Understanding human affective behaviour, especially in the dynamics of real-world settings, requires Facial Expression Recognition (FER) models to continuously adapt to individual differences in user expression, contextual attributions, and the environment. Current (deep) Machine Learning (ML)-based FER approaches pre-... |
2101.01909 | Yifan Xu | Yifan Xu, Weijian Xu, David Cheung and Zhuowen Tu | Line Segment Detection Using Transformers without Edges | Accepted to CVPR 2021 (Oral) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we present a joint end-to-end line segment detection algorithm
using Transformers that is post-processing and heuristics-guided intermediate
processing (edge/junction/region detection) free. Our method, named LinE
segment TRansformers (LETR), takes advantages of having integrated tokenized
queries, a s... | [
{
"created": "Wed, 6 Jan 2021 08:00:18 GMT",
"version": "v1"
},
{
"created": "Fri, 30 Apr 2021 17:34:55 GMT",
"version": "v2"
}
] | 2021-05-03 | [
[
"Xu",
"Yifan",
""
],
[
"Xu",
"Weijian",
""
],
[
"Cheung",
"David",
""
],
[
"Tu",
"Zhuowen",
""
]
] | In this paper, we present a joint end-to-end line segment detection algorithm using Transformers that is post-processing and heuristics-guided intermediate processing (edge/junction/region detection) free. Our method, named LinE segment TRansformers (LETR), takes advantages of having integrated tokenized queries, a sel... |
1811.10199 | Naranchimeg Bold | Bold Naranchimeg, Chao Zhang, Takuya Akashi | Cross-domain Deep Feature Combination for Bird Species Classification
with Audio-visual Data | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent decade, many state-of-the-art algorithms on image classification as
well as audio classification have achieved noticeable successes with the
development of deep convolutional neural network (CNN). However, most of the
works only exploit single type of training data. In this paper, we present a
study on clas... | [
{
"created": "Mon, 26 Nov 2018 06:28:44 GMT",
"version": "v1"
}
] | 2018-11-27 | [
[
"Naranchimeg",
"Bold",
""
],
[
"Zhang",
"Chao",
""
],
[
"Akashi",
"Takuya",
""
]
] | In recent decade, many state-of-the-art algorithms on image classification as well as audio classification have achieved noticeable successes with the development of deep convolutional neural network (CNN). However, most of the works only exploit single type of training data. In this paper, we present a study on classi... |
2308.09435 | Alena Fenogenova Ms | Nikita Martynov, Mark Baushenko, Anastasia Kozlova, Katerina
Kolomeytseva, Aleksandr Abramov, Alena Fenogenova | A Methodology for Generative Spelling Correction via Natural Spelling
Errors Emulation across Multiple Domains and Languages | to appear in EACL 2024 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Modern large language models demonstrate impressive capabilities in text
generation and generalization. However, they often struggle with solving text
editing tasks, particularly when it comes to correcting spelling errors and
mistypings. In this paper, we present a methodology for generative spelling
correction (SC)... | [
{
"created": "Fri, 18 Aug 2023 10:07:28 GMT",
"version": "v1"
},
{
"created": "Wed, 13 Sep 2023 15:22:29 GMT",
"version": "v2"
}
] | 2023-09-14 | [
[
"Martynov",
"Nikita",
""
],
[
"Baushenko",
"Mark",
""
],
[
"Kozlova",
"Anastasia",
""
],
[
"Kolomeytseva",
"Katerina",
""
],
[
"Abramov",
"Aleksandr",
""
],
[
"Fenogenova",
"Alena",
""
]
] | Modern large language models demonstrate impressive capabilities in text generation and generalization. However, they often struggle with solving text editing tasks, particularly when it comes to correcting spelling errors and mistypings. In this paper, we present a methodology for generative spelling correction (SC), ... |
1210.1317 | Phong Nguyen | Phong Nguyen, Jun Wang, Melanie Hilario and Alexandros Kalousis | Learning Heterogeneous Similarity Measures for Hybrid-Recommendations in
Meta-Mining | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The notion of meta-mining has appeared recently and extends the traditional
meta-learning in two ways. First it does not learn meta-models that provide
support only for the learning algorithm selection task but ones that support
the whole data-mining process. In addition it abandons the so called black-box
approach t... | [
{
"created": "Thu, 4 Oct 2012 07:17:37 GMT",
"version": "v1"
}
] | 2012-10-05 | [
[
"Nguyen",
"Phong",
""
],
[
"Wang",
"Jun",
""
],
[
"Hilario",
"Melanie",
""
],
[
"Kalousis",
"Alexandros",
""
]
] | The notion of meta-mining has appeared recently and extends the traditional meta-learning in two ways. First it does not learn meta-models that provide support only for the learning algorithm selection task but ones that support the whole data-mining process. In addition it abandons the so called black-box approach to ... |
1302.3982 | Harish Chintakunta | Harish Chintakunta and Hamid Krim | Distributed boundary tracking using alpha and Delaunay-Cech shapes | null | null | null | null | cs.CG | http://creativecommons.org/licenses/by/3.0/ | For a given point set $S$ in a plane, we develop a distributed algorithm to
compute the $\alpha-$shape of $S$. $\alpha-$shapes are well known geometric
objects which generalize the idea of a convex hull, and provide a good
definition for the shape of $S$. We assume that the distances between pairs of
points which are... | [
{
"created": "Sat, 16 Feb 2013 17:56:15 GMT",
"version": "v1"
}
] | 2013-02-19 | [
[
"Chintakunta",
"Harish",
""
],
[
"Krim",
"Hamid",
""
]
] | For a given point set $S$ in a plane, we develop a distributed algorithm to compute the $\alpha-$shape of $S$. $\alpha-$shapes are well known geometric objects which generalize the idea of a convex hull, and provide a good definition for the shape of $S$. We assume that the distances between pairs of points which are c... |
2402.14469 | Philipp Liznerski | Philipp Liznerski, Saurabh Varshneya, Ece Calikus, Sophie Fellenz, and
Marius Kloft | Reimagining Anomalies: What If Anomalies Were Normal? | 30 pages; preprint | null | null | null | cs.CV cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep learning-based methods have achieved a breakthrough in image anomaly
detection, but their complexity introduces a considerable challenge to
understanding why an instance is predicted to be anomalous. We introduce a
novel explanation method that generates multiple counterfactual examples for
each anomaly, capturi... | [
{
"created": "Thu, 22 Feb 2024 11:56:44 GMT",
"version": "v1"
}
] | 2024-02-23 | [
[
"Liznerski",
"Philipp",
""
],
[
"Varshneya",
"Saurabh",
""
],
[
"Calikus",
"Ece",
""
],
[
"Fellenz",
"Sophie",
""
],
[
"Kloft",
"Marius",
""
]
] | Deep learning-based methods have achieved a breakthrough in image anomaly detection, but their complexity introduces a considerable challenge to understanding why an instance is predicted to be anomalous. We introduce a novel explanation method that generates multiple counterfactual examples for each anomaly, capturing... |
1701.06051 | Mohammad Hassan Lotfi | Mohammad Hassan Lotfi and Saswati Sarkar | The Economics of Competition and Cooperation Between MNOs and MVNOs | 8 Pages, Tech report for CISS2017 submission | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we consider the economics of the interaction between Mobile
Virtual Network Operators (MVNOs) and Mobile Network Operators (MNOs). We
investigate the incentives of an MNO for offering some of her resources to an
MVNO instead of using the resources for her own. We formulate the problem as a
sequential ga... | [
{
"created": "Sat, 21 Jan 2017 17:07:20 GMT",
"version": "v1"
}
] | 2017-01-24 | [
[
"Lotfi",
"Mohammad Hassan",
""
],
[
"Sarkar",
"Saswati",
""
]
] | In this work, we consider the economics of the interaction between Mobile Virtual Network Operators (MVNOs) and Mobile Network Operators (MNOs). We investigate the incentives of an MNO for offering some of her resources to an MVNO instead of using the resources for her own. We formulate the problem as a sequential game... |
1303.5756 | Wilson X. Wen | Wilson X. Wen | From Relational Databases to Belief Networks | Appears in Proceedings of the Seventh Conference on Uncertainty in
Artificial Intelligence (UAI1991) | null | null | UAI-P-1991-PG-406-413 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The relationship between belief networks and relational databases is
examined. Based on this analysis, a method to construct belief networks
automatically from statistical relational data is proposed. A comparison
between our method and other methods shows that our method has several
advantages when generalization or... | [
{
"created": "Wed, 20 Mar 2013 15:33:53 GMT",
"version": "v1"
}
] | 2013-03-26 | [
[
"Wen",
"Wilson X.",
""
]
] | The relationship between belief networks and relational databases is examined. Based on this analysis, a method to construct belief networks automatically from statistical relational data is proposed. A comparison between our method and other methods shows that our method has several advantages when generalization or p... |
2201.13052 | Pini Zilber | Pini Zilber and Boaz Nadler | Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm | null | null | null | null | cs.LG math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The inductive matrix completion (IMC) problem is to recover a low rank matrix
from few observed entries while incorporating prior knowledge about its row and
column subspaces. In this work, we make three contributions to the IMC problem:
(i) we prove that under suitable conditions, the IMC optimization landscape has
... | [
{
"created": "Mon, 31 Jan 2022 08:20:08 GMT",
"version": "v1"
}
] | 2022-02-01 | [
[
"Zilber",
"Pini",
""
],
[
"Nadler",
"Boaz",
""
]
] | The inductive matrix completion (IMC) problem is to recover a low rank matrix from few observed entries while incorporating prior knowledge about its row and column subspaces. In this work, we make three contributions to the IMC problem: (i) we prove that under suitable conditions, the IMC optimization landscape has no... |
2004.03937 | Kevin Stowe | Bernd Skiera, Lukas J\"urgensmeier, Kevin Stowe, Iryna Gurevych | How to Best Predict the Daily Number of New Infections of Covid-19 | 15 pages, 5 figures | null | null | null | cs.SI physics.soc-ph q-bio.PE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Knowledge about the daily number of new infections of Covid-19 is important
because it is the basis for political decisions resulting in lockdowns and
urgent health care measures. We use Germany as an example to illustrate
shortcomings of official numbers, which are, at least in Germany, disclosed
only with several d... | [
{
"created": "Wed, 8 Apr 2020 11:08:58 GMT",
"version": "v1"
}
] | 2020-04-09 | [
[
"Skiera",
"Bernd",
""
],
[
"Jürgensmeier",
"Lukas",
""
],
[
"Stowe",
"Kevin",
""
],
[
"Gurevych",
"Iryna",
""
]
] | Knowledge about the daily number of new infections of Covid-19 is important because it is the basis for political decisions resulting in lockdowns and urgent health care measures. We use Germany as an example to illustrate shortcomings of official numbers, which are, at least in Germany, disclosed only with several day... |
1503.00338 | Thibault Lesieur | Thibault Lesieur, Florent Krzakala, Lenka Zdeborova | Phase Transitions in Sparse PCA | 6 pages, 3 figures | IEEE International Symposium on Information Theory (ISIT),
pp.1635-1639 (2015) | 10.1109/ISIT.2015.7282733 | null | cs.IT cond-mat.stat-mech math.IT stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study optimal estimation for sparse principal component analysis when the
number of non-zero elements is small but on the same order as the dimension of
the data. We employ approximate message passing (AMP) algorithm and its state
evolution to analyze what is the information theoretically minimal mean-squared
erro... | [
{
"created": "Sun, 1 Mar 2015 19:26:39 GMT",
"version": "v1"
}
] | 2020-01-22 | [
[
"Lesieur",
"Thibault",
""
],
[
"Krzakala",
"Florent",
""
],
[
"Zdeborova",
"Lenka",
""
]
] | We study optimal estimation for sparse principal component analysis when the number of non-zero elements is small but on the same order as the dimension of the data. We employ approximate message passing (AMP) algorithm and its state evolution to analyze what is the information theoretically minimal mean-squared error ... |
1606.07729 | Sebastian Schlecht | Sebastian J. Schlecht and Emanuel A. P. Habets | On Lossless Feedback Delay Networks | null | null | 10.1109/TSP.2016.2637323 | null | cs.SY cs.SD | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Lossless Feedback Delay Networks (FDNs) are commonly used as a design
prototype for artificial reverberation algorithms. The lossless property is
dependent on the feedback matrix, which connects the output of a set of delays
to their inputs, and the lengths of the delays. Both, unitary and triangular
feedback matrice... | [
{
"created": "Fri, 24 Jun 2016 15:51:44 GMT",
"version": "v1"
}
] | 2017-04-05 | [
[
"Schlecht",
"Sebastian J.",
""
],
[
"Habets",
"Emanuel A. P.",
""
]
] | Lossless Feedback Delay Networks (FDNs) are commonly used as a design prototype for artificial reverberation algorithms. The lossless property is dependent on the feedback matrix, which connects the output of a set of delays to their inputs, and the lengths of the delays. Both, unitary and triangular feedback matrices ... |
2007.08864 | Vineet Nair | Nir Ailon, Omer Leibovich, Vineet Nair | Sparse Linear Networks with a Fixed Butterfly Structure: Theory and
Practice | Accepted to UAI 2021 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A butterfly network consists of logarithmically many layers, each with a
linear number of non-zero weights (pre-specified). The fast
Johnson-Lindenstrauss transform (FJLT) can be represented as a butterfly
network followed by a projection onto a random subset of the coordinates.
Moreover, a random matrix based on FJL... | [
{
"created": "Fri, 17 Jul 2020 09:45:03 GMT",
"version": "v1"
},
{
"created": "Sun, 4 Jul 2021 11:12:29 GMT",
"version": "v2"
}
] | 2021-07-06 | [
[
"Ailon",
"Nir",
""
],
[
"Leibovich",
"Omer",
""
],
[
"Nair",
"Vineet",
""
]
] | A butterfly network consists of logarithmically many layers, each with a linear number of non-zero weights (pre-specified). The fast Johnson-Lindenstrauss transform (FJLT) can be represented as a butterfly network followed by a projection onto a random subset of the coordinates. Moreover, a random matrix based on FJLT ... |
2405.19872 | Igor Podlubny | Igor Podlubny | Detection of the papermilling behavior | 14 pages, 6 figures | null | null | null | cs.DL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Based on the analysis of the data obtainable from the Web of Science
publication and citation database, typical signs of possible papermilling
behavior are described, quantified, and illustrated by examples. A MATLAB
function is provided for the analysis of the outputs from the Web of Science. A
new quantitative indi... | [
{
"created": "Thu, 30 May 2024 09:27:34 GMT",
"version": "v1"
},
{
"created": "Mon, 3 Jun 2024 09:38:07 GMT",
"version": "v2"
}
] | 2024-06-04 | [
[
"Podlubny",
"Igor",
""
]
] | Based on the analysis of the data obtainable from the Web of Science publication and citation database, typical signs of possible papermilling behavior are described, quantified, and illustrated by examples. A MATLAB function is provided for the analysis of the outputs from the Web of Science. A new quantitative indica... |
2405.08263 | Chenlei Lv | Chenlei Lv, Dan Zhang | Palette-based Color Transfer between Images | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As an important subtopic of image enhancement, color transfer aims to enhance
the color scheme of a source image according to a reference one while
preserving the semantic context. To implement color transfer, the palette-based
color mapping framework was proposed. \textcolor{black}{It is a classical
solution that do... | [
{
"created": "Tue, 14 May 2024 01:41:19 GMT",
"version": "v1"
}
] | 2024-05-15 | [
[
"Lv",
"Chenlei",
""
],
[
"Zhang",
"Dan",
""
]
] | As an important subtopic of image enhancement, color transfer aims to enhance the color scheme of a source image according to a reference one while preserving the semantic context. To implement color transfer, the palette-based color mapping framework was proposed. \textcolor{black}{It is a classical solution that does... |
2104.00851 | Yang Zhao | Yang Zhao and Hao Zhang | Estimating the Generalization in Deep Neural Networks via Sparsity | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Generalization is the key capability for deep neural networks (DNNs).
However, it is challenging to give a reliable measure of the generalization
ability of a DNN via only its nature. In this paper, we propose a novel method
for estimating the generalization gap based on network sparsity. In our method,
two key quant... | [
{
"created": "Fri, 2 Apr 2021 02:10:32 GMT",
"version": "v1"
},
{
"created": "Sun, 16 Jan 2022 15:00:02 GMT",
"version": "v2"
},
{
"created": "Mon, 20 Nov 2023 08:50:33 GMT",
"version": "v3"
}
] | 2023-11-21 | [
[
"Zhao",
"Yang",
""
],
[
"Zhang",
"Hao",
""
]
] | Generalization is the key capability for deep neural networks (DNNs). However, it is challenging to give a reliable measure of the generalization ability of a DNN via only its nature. In this paper, we propose a novel method for estimating the generalization gap based on network sparsity. In our method, two key quantit... |
1904.03746 | Yoon Kim | Yoon Kim, Alexander M. Rush, Lei Yu, Adhiguna Kuncoro, Chris Dyer,
G\'abor Melis | Unsupervised Recurrent Neural Network Grammars | NAACL 2019 | null | null | null | cs.CL stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recurrent neural network grammars (RNNG) are generative models of language
which jointly model syntax and surface structure by incrementally generating a
syntax tree and sentence in a top-down, left-to-right order. Supervised RNNGs
achieve strong language modeling and parsing performance, but require an
annotated cor... | [
{
"created": "Sun, 7 Apr 2019 21:14:43 GMT",
"version": "v1"
},
{
"created": "Tue, 9 Apr 2019 17:00:47 GMT",
"version": "v2"
},
{
"created": "Mon, 15 Apr 2019 17:56:54 GMT",
"version": "v3"
},
{
"created": "Wed, 12 Jun 2019 04:48:38 GMT",
"version": "v4"
},
{
"cre... | 2019-08-06 | [
[
"Kim",
"Yoon",
""
],
[
"Rush",
"Alexander M.",
""
],
[
"Yu",
"Lei",
""
],
[
"Kuncoro",
"Adhiguna",
""
],
[
"Dyer",
"Chris",
""
],
[
"Melis",
"Gábor",
""
]
] | Recurrent neural network grammars (RNNG) are generative models of language which jointly model syntax and surface structure by incrementally generating a syntax tree and sentence in a top-down, left-to-right order. Supervised RNNGs achieve strong language modeling and parsing performance, but require an annotated corpu... |
2308.08868 | P{\aa}l Gr{\o}n{\aa}s Drange | P{\aa}l Gr{\o}n{\aa}s Drange, Patrick Greaves, Irene Muzi, Felix Reidl | Computing complexity measures of degenerate graphs | Accepted for publication in the 18th International Symposium on
Parameterized and Exact Computation (IPEC 2023) | null | null | null | cs.DS | http://creativecommons.org/licenses/by-sa/4.0/ | We show that the VC-dimension of a graph can be computed in time $n^{\log
d+1} d^{O(d)}$, where $d$ is the degeneracy of the input graph. The core idea
of our algorithm is a data structure to efficiently query the number of
vertices that see a specific subset of vertices inside of a (small) query set.
The constructio... | [
{
"created": "Thu, 17 Aug 2023 09:01:47 GMT",
"version": "v1"
}
] | 2023-08-21 | [
[
"Drange",
"Pål Grønås",
""
],
[
"Greaves",
"Patrick",
""
],
[
"Muzi",
"Irene",
""
],
[
"Reidl",
"Felix",
""
]
] | We show that the VC-dimension of a graph can be computed in time $n^{\log d+1} d^{O(d)}$, where $d$ is the degeneracy of the input graph. The core idea of our algorithm is a data structure to efficiently query the number of vertices that see a specific subset of vertices inside of a (small) query set. The construction ... |
2206.09900 | Chen Min | Chen Min and Xinli Xu and Dawei Zhao and Liang Xiao and Yiming Nie and
Bin Dai | Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point
Clouds with Masked Occupancy Autoencoders | Accepted by TIV | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Current perception models in autonomous driving heavily rely on large-scale
labelled 3D data, which is both costly and time-consuming to annotate. This
work proposes a solution to reduce the dependence on labelled 3D training data
by leveraging pre-training on large-scale unlabeled outdoor LiDAR point clouds
using ma... | [
{
"created": "Mon, 20 Jun 2022 17:15:50 GMT",
"version": "v1"
},
{
"created": "Fri, 24 Jun 2022 06:46:02 GMT",
"version": "v2"
},
{
"created": "Mon, 27 Jun 2022 09:01:51 GMT",
"version": "v3"
},
{
"created": "Tue, 16 Aug 2022 14:16:21 GMT",
"version": "v4"
},
{
"c... | 2023-10-10 | [
[
"Min",
"Chen",
""
],
[
"Xu",
"Xinli",
""
],
[
"Zhao",
"Dawei",
""
],
[
"Xiao",
"Liang",
""
],
[
"Nie",
"Yiming",
""
],
[
"Dai",
"Bin",
""
]
] | Current perception models in autonomous driving heavily rely on large-scale labelled 3D data, which is both costly and time-consuming to annotate. This work proposes a solution to reduce the dependence on labelled 3D training data by leveraging pre-training on large-scale unlabeled outdoor LiDAR point clouds using mask... |
2303.06551 | Zhirui Sun | Zhirui Sun, Weinan Chen, Jiankun Wang, and Max Q.-H. Meng | A Systematic Evaluation of Different Indoor Localization Methods in
Robotic Autonomous Luggage Trolley Collection at Airports | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This article addresses the localization problem in robotic autonomous luggage
trolley collection at airports and provides a systematic evaluation of
different methods to solve it. The robotic autonomous luggage trolley
collection is a complex system that involves object detection, localization,
motion planning and co... | [
{
"created": "Sun, 12 Mar 2023 03:31:10 GMT",
"version": "v1"
}
] | 2023-03-14 | [
[
"Sun",
"Zhirui",
""
],
[
"Chen",
"Weinan",
""
],
[
"Wang",
"Jiankun",
""
],
[
"Meng",
"Max Q. -H.",
""
]
] | This article addresses the localization problem in robotic autonomous luggage trolley collection at airports and provides a systematic evaluation of different methods to solve it. The robotic autonomous luggage trolley collection is a complex system that involves object detection, localization, motion planning and cont... |
1412.3377 | Niall Murphy | Niall Murphy and Damien Woods | Uniformity is weaker than semi-uniformity for some membrane systems | 28 pages, 1 figure | Fundamenta Informaticae, 134(1-2):129-152. 2014 | 10.3233/FI-2014-1095 | null | cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We investigate computing models that are presented as families of finite
computing devices with a uniformity condition on the entire family. Examples of
such models include Boolean circuits, membrane systems, DNA computers, chemical
reaction networks and tile assembly systems, and there are many others.
However, in s... | [
{
"created": "Wed, 10 Dec 2014 17:30:22 GMT",
"version": "v1"
}
] | 2014-12-11 | [
[
"Murphy",
"Niall",
""
],
[
"Woods",
"Damien",
""
]
] | We investigate computing models that are presented as families of finite computing devices with a uniformity condition on the entire family. Examples of such models include Boolean circuits, membrane systems, DNA computers, chemical reaction networks and tile assembly systems, and there are many others. However, in suc... |
1502.04068 | Eric Duchene | Eric Duch\^ene, Matthieu Dufour, Silvia Heubach, Urban Larsson | Building Nim | null | null | null | null | cs.DM math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The game of nim, with its simple rules, its elegant solution and its
historical importance is the quintessence of a combinatorial game, which is why
it led to so many generalizations and modifications. We present a modification
with a new spin: building nim. With given finite numbers of tokens and stacks,
this two-pl... | [
{
"created": "Fri, 13 Feb 2015 17:50:35 GMT",
"version": "v1"
},
{
"created": "Thu, 27 Aug 2015 09:24:35 GMT",
"version": "v2"
}
] | 2015-08-28 | [
[
"Duchêne",
"Eric",
""
],
[
"Dufour",
"Matthieu",
""
],
[
"Heubach",
"Silvia",
""
],
[
"Larsson",
"Urban",
""
]
] | The game of nim, with its simple rules, its elegant solution and its historical importance is the quintessence of a combinatorial game, which is why it led to so many generalizations and modifications. We present a modification with a new spin: building nim. With given finite numbers of tokens and stacks, this two-play... |
2405.17476 | Sheng Yue | Sheng Yue, Jiani Liu, Xingyuan Hua, Ju Ren, Sen Lin, Junshan Zhang,
Yaoxue Zhang | How to Leverage Diverse Demonstrations in Offline Imitation Learning | International Conference on Machine Learning (ICML) | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Offline Imitation Learning (IL) with imperfect demonstrations has garnered
increasing attention owing to the scarcity of expert data in many real-world
domains. A fundamental problem in this scenario is how to extract positive
behaviors from noisy data. In general, current approaches to the problem select
data buildi... | [
{
"created": "Fri, 24 May 2024 04:56:39 GMT",
"version": "v1"
},
{
"created": "Wed, 29 May 2024 01:41:13 GMT",
"version": "v2"
},
{
"created": "Thu, 30 May 2024 17:15:09 GMT",
"version": "v3"
}
] | 2024-05-31 | [
[
"Yue",
"Sheng",
""
],
[
"Liu",
"Jiani",
""
],
[
"Hua",
"Xingyuan",
""
],
[
"Ren",
"Ju",
""
],
[
"Lin",
"Sen",
""
],
[
"Zhang",
"Junshan",
""
],
[
"Zhang",
"Yaoxue",
""
]
] | Offline Imitation Learning (IL) with imperfect demonstrations has garnered increasing attention owing to the scarcity of expert data in many real-world domains. A fundamental problem in this scenario is how to extract positive behaviors from noisy data. In general, current approaches to the problem select data building... |
2405.01813 | Yiwen Zhu | Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita
Agarwal, Rana Alotaibi, Jes\'us Camacho-Rodr\'iguez, Bibin Chundatt, Andrew
Chung, Niharika Dutta, Andrew Fogarty, Anja Gruenheid, Brandon Haynes, Matteo
Interlandi, Minu Iyer, Nick Jurgens, Sumeet Khushalani, Brian Kroth, Manoj
Kumar, Jyoti Leeka, ... | Towards Building Autonomous Data Services on Azure | SIGMOD Companion of the 2023 International Conference on Management
of Data. 2023 | null | 10.1145/3555041.3589674 | null | cs.DC | http://creativecommons.org/publicdomain/zero/1.0/ | Modern cloud has turned data services into easily accessible commodities.
With just a few clicks, users are now able to access a catalog of data
processing systems for a wide range of tasks. However, the cloud brings in both
complexity and opportunity. While cloud users can quickly start an application
by using vario... | [
{
"created": "Fri, 3 May 2024 02:13:20 GMT",
"version": "v1"
}
] | 2024-05-06 | [
[
"Zhu",
"Yiwen",
""
],
[
"Tian",
"Yuanyuan",
""
],
[
"Cahoon",
"Joyce",
""
],
[
"Krishnan",
"Subru",
""
],
[
"Agarwal",
"Ankita",
""
],
[
"Alotaibi",
"Rana",
""
],
[
"Camacho-Rodríguez",
"Jesús",
""
],
[... | Modern cloud has turned data services into easily accessible commodities. With just a few clicks, users are now able to access a catalog of data processing systems for a wide range of tasks. However, the cloud brings in both complexity and opportunity. While cloud users can quickly start an application by using various... |
2111.14427 | Lies Hadjadj | Lies Hadjadj, Massih-Reza Amini, Sana Louhichi, Alexis Deschamps | Self-Training of Halfspaces with Generalization Guarantees under Massart
Mislabeling Noise Model | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We investigate the generalization properties of a self-training algorithm
with halfspaces. The approach learns a list of halfspaces iteratively from
labeled and unlabeled training data, in which each iteration consists of two
steps: exploration and pruning. In the exploration phase, the halfspace is
found sequentiall... | [
{
"created": "Mon, 29 Nov 2021 10:17:04 GMT",
"version": "v1"
},
{
"created": "Thu, 2 Dec 2021 12:32:46 GMT",
"version": "v2"
},
{
"created": "Tue, 15 Feb 2022 14:30:23 GMT",
"version": "v3"
}
] | 2022-02-16 | [
[
"Hadjadj",
"Lies",
""
],
[
"Amini",
"Massih-Reza",
""
],
[
"Louhichi",
"Sana",
""
],
[
"Deschamps",
"Alexis",
""
]
] | We investigate the generalization properties of a self-training algorithm with halfspaces. The approach learns a list of halfspaces iteratively from labeled and unlabeled training data, in which each iteration consists of two steps: exploration and pruning. In the exploration phase, the halfspace is found sequentially ... |
2009.10292 | Ty Nguyen | Ty Nguyen, Ian D. Miller, Avi Cohen, Dinesh Thakur, Shashank Prasad,
Camillo J. Taylor, Pratik Chaudrahi, Vijay Kumar | PennSyn2Real: Training Object Recognition Models without Human Labeling | 7 pages, 9 figures, 3 tables. Submitted to R-AL and ICRA 2021 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Scalable training data generation is a critical problem in deep learning. We
propose PennSyn2Real - a photo-realistic synthetic dataset consisting of more
than 100,000 4K images of more than 20 types of micro aerial vehicles (MAVs).
The dataset can be used to generate arbitrary numbers of training images for
high-lev... | [
{
"created": "Tue, 22 Sep 2020 02:53:40 GMT",
"version": "v1"
},
{
"created": "Fri, 16 Oct 2020 04:58:40 GMT",
"version": "v2"
}
] | 2020-10-19 | [
[
"Nguyen",
"Ty",
""
],
[
"Miller",
"Ian D.",
""
],
[
"Cohen",
"Avi",
""
],
[
"Thakur",
"Dinesh",
""
],
[
"Prasad",
"Shashank",
""
],
[
"Taylor",
"Camillo J.",
""
],
[
"Chaudrahi",
"Pratik",
""
],
[
"... | Scalable training data generation is a critical problem in deep learning. We propose PennSyn2Real - a photo-realistic synthetic dataset consisting of more than 100,000 4K images of more than 20 types of micro aerial vehicles (MAVs). The dataset can be used to generate arbitrary numbers of training images for high-level... |
1709.08748 | S. Karen Khatamifard | S. Karen Khatamifard and M. Hassan Najafi and Ali Ghoreyshi and Ulya
R. Karpuzcu and David Lilja | On Memory System Design for Stochastic Computing | null | null | 10.1109/LCA.2018.2804926 | null | cs.ET | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Growing uncertainty in design parameters (and therefore, in design
functionality) renders stochastic computing particularly promising, which
represents and processes data as quantized probabilities. However, due to the
difference in data representation, integrating conventional memory (designed
and optimized for non-... | [
{
"created": "Mon, 25 Sep 2017 23:23:47 GMT",
"version": "v1"
}
] | 2018-03-28 | [
[
"Khatamifard",
"S. Karen",
""
],
[
"Najafi",
"M. Hassan",
""
],
[
"Ghoreyshi",
"Ali",
""
],
[
"Karpuzcu",
"Ulya R.",
""
],
[
"Lilja",
"David",
""
]
] | Growing uncertainty in design parameters (and therefore, in design functionality) renders stochastic computing particularly promising, which represents and processes data as quantized probabilities. However, due to the difference in data representation, integrating conventional memory (designed and optimized for non-st... |
2403.15715 | Daijun Ding | Daijun Ding, Li Dong, Zhichao Huang, Guangning Xu, Xu Huang, Bo Liu,
Liwen Jing, Bowen Zhang | EDDA: A Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance
Detection | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Stance detection aims to determine the attitude expressed in text towards a
given target. Zero-shot stance detection (ZSSD) has emerged to classify stances
towards unseen targets during inference. Recent data augmentation techniques
for ZSSD increase transferable knowledge between targets through text or target
augme... | [
{
"created": "Sat, 23 Mar 2024 04:29:29 GMT",
"version": "v1"
}
] | 2024-03-26 | [
[
"Ding",
"Daijun",
""
],
[
"Dong",
"Li",
""
],
[
"Huang",
"Zhichao",
""
],
[
"Xu",
"Guangning",
""
],
[
"Huang",
"Xu",
""
],
[
"Liu",
"Bo",
""
],
[
"Jing",
"Liwen",
""
],
[
"Zhang",
"Bowen",
... | Stance detection aims to determine the attitude expressed in text towards a given target. Zero-shot stance detection (ZSSD) has emerged to classify stances towards unseen targets during inference. Recent data augmentation techniques for ZSSD increase transferable knowledge between targets through text or target augment... |
2312.13538 | Rodrigo de Lamare | S. Mashdour, A. Schmeink, R. C. de Lamare and J. P. Sales | Sequential Multiuser Scheduling and Power Allocation for Cell-Free
Multiple-Antenna Networks | 7 pages, 2 figures | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Resource allocation is a fundamental task in cell-free (CF) massive
multi-input multi-output (MIMO) systems, which can effectively improve the
network performance. In this paper, we study the downlink of CF MIMO networks
with network clustering and linear precoding, and develop a sequential
multiuser scheduling and p... | [
{
"created": "Thu, 21 Dec 2023 02:41:15 GMT",
"version": "v1"
}
] | 2023-12-22 | [
[
"Mashdour",
"S.",
""
],
[
"Schmeink",
"A.",
""
],
[
"de Lamare",
"R. C.",
""
],
[
"Sales",
"J. P.",
""
]
] | Resource allocation is a fundamental task in cell-free (CF) massive multi-input multi-output (MIMO) systems, which can effectively improve the network performance. In this paper, we study the downlink of CF MIMO networks with network clustering and linear precoding, and develop a sequential multiuser scheduling and pow... |
2206.01570 | Yushan Liu | Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li,
Volker Tresp | On Calibration of Graph Neural Networks for Node Classification | Accepted by IJCNN 2022 (IEEE WCCI 2022) | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graphs can model real-world, complex systems by representing entities and
their interactions in terms of nodes and edges. To better exploit the graph
structure, graph neural networks have been developed, which learn entity and
edge embeddings for tasks such as node classification and link prediction.
These models ach... | [
{
"created": "Fri, 3 Jun 2022 13:48:10 GMT",
"version": "v1"
}
] | 2022-06-06 | [
[
"Liu",
"Tong",
""
],
[
"Liu",
"Yushan",
""
],
[
"Hildebrandt",
"Marcel",
""
],
[
"Joblin",
"Mitchell",
""
],
[
"Li",
"Hang",
""
],
[
"Tresp",
"Volker",
""
]
] | Graphs can model real-world, complex systems by representing entities and their interactions in terms of nodes and edges. To better exploit the graph structure, graph neural networks have been developed, which learn entity and edge embeddings for tasks such as node classification and link prediction. These models achie... |
2207.12995 | Xingqun Qi | Xingqun Qi, Zhuojie Wu, Min Ren, Muyi Sun, Caifeng Shan, Zhenan Sun | Exploring Generalizable Distillation for Efficient Medical Image
Segmentation | Under Review | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Efficient medical image segmentation aims to provide accurate pixel-wise
predictions for medical images with a lightweight implementation framework.
However, lightweight frameworks generally fail to achieve superior performance
and suffer from poor generalizable ability on cross-domain tasks. In this
paper, we explor... | [
{
"created": "Tue, 26 Jul 2022 15:55:36 GMT",
"version": "v1"
},
{
"created": "Mon, 20 Feb 2023 05:11:27 GMT",
"version": "v2"
}
] | 2023-02-21 | [
[
"Qi",
"Xingqun",
""
],
[
"Wu",
"Zhuojie",
""
],
[
"Ren",
"Min",
""
],
[
"Sun",
"Muyi",
""
],
[
"Shan",
"Caifeng",
""
],
[
"Sun",
"Zhenan",
""
]
] | Efficient medical image segmentation aims to provide accurate pixel-wise predictions for medical images with a lightweight implementation framework. However, lightweight frameworks generally fail to achieve superior performance and suffer from poor generalizable ability on cross-domain tasks. In this paper, we explore ... |
1907.10491 | Zijia Zhong | Zijia Zhong and Earl E. Lee | Alternative Intersection Designs with Connected and Automated Vehicle | 6 pages, 6 figures, 2019 IEEE 2nd Connected and Automated Vehicles
Symposium. arXiv admin note: text overlap with arXiv:1811.03074 | null | null | null | cs.MA eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Alternative intersection designs (AIDs) can improve the performance of an
intersection by not only reducing the number of signal phases but also change
the configuration of the conflicting points by re-routing traffic. However the
AID studies have rarely been extended to Connected and Automated Vehicle (CAV)
which is... | [
{
"created": "Mon, 22 Jul 2019 01:41:28 GMT",
"version": "v1"
}
] | 2019-07-25 | [
[
"Zhong",
"Zijia",
""
],
[
"Lee",
"Earl E.",
""
]
] | Alternative intersection designs (AIDs) can improve the performance of an intersection by not only reducing the number of signal phases but also change the configuration of the conflicting points by re-routing traffic. However the AID studies have rarely been extended to Connected and Automated Vehicle (CAV) which is e... |
2112.15272 | Vinh Nguyen Van | Nguyen Hoang Quan, Nguyen Thanh Dat, Nguyen Hoang Minh Cong, Nguyen
Van Vinh, Ngo Thi Vinh, Nguyen Phuong Thai, and Tran Hong Viet | ViNMT: Neural Machine Translation Toolkit | null | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We present an open-source toolkit for neural machine translation (NMT). The
new toolkit is mainly based on vaulted Transformer (Vaswani et al., 2017) along
with many other improvements detailed below, in order to create a
self-contained, simple to use, consistent and comprehensive framework for
Machine Translation ta... | [
{
"created": "Fri, 31 Dec 2021 02:42:39 GMT",
"version": "v1"
},
{
"created": "Sat, 8 Jan 2022 05:29:58 GMT",
"version": "v2"
},
{
"created": "Fri, 4 Mar 2022 09:28:57 GMT",
"version": "v3"
},
{
"created": "Mon, 7 Mar 2022 07:19:12 GMT",
"version": "v4"
},
{
"crea... | 2022-03-09 | [
[
"Quan",
"Nguyen Hoang",
""
],
[
"Dat",
"Nguyen Thanh",
""
],
[
"Cong",
"Nguyen Hoang Minh",
""
],
[
"Van Vinh",
"Nguyen",
""
],
[
"Vinh",
"Ngo Thi",
""
],
[
"Thai",
"Nguyen Phuong",
""
],
[
"Viet",
"Tran Hong",... | We present an open-source toolkit for neural machine translation (NMT). The new toolkit is mainly based on vaulted Transformer (Vaswani et al., 2017) along with many other improvements detailed below, in order to create a self-contained, simple to use, consistent and comprehensive framework for Machine Translation task... |
2402.08264 | Ville Junnila | Olivier Hudry, Ville Junnila and Antoine Lobstein | On Iiro Honkala's contributions to identifying codes | null | null | null | null | cs.DM math.CO | http://creativecommons.org/licenses/by/4.0/ | A set $C$ of vertices in a graph $G=(V,E)$ is an identifying code if it is
dominating and any two vertices of $V$ are dominated by distinct sets of
codewords. This paper presents a survey of Iiro Honkala's contributions to the
study of identifying codes with respect to several aspects: complexity of
computing an iden... | [
{
"created": "Tue, 13 Feb 2024 07:35:34 GMT",
"version": "v1"
},
{
"created": "Mon, 13 May 2024 13:02:36 GMT",
"version": "v2"
},
{
"created": "Thu, 4 Jul 2024 13:45:00 GMT",
"version": "v3"
}
] | 2024-07-08 | [
[
"Hudry",
"Olivier",
""
],
[
"Junnila",
"Ville",
""
],
[
"Lobstein",
"Antoine",
""
]
] | A set $C$ of vertices in a graph $G=(V,E)$ is an identifying code if it is dominating and any two vertices of $V$ are dominated by distinct sets of codewords. This paper presents a survey of Iiro Honkala's contributions to the study of identifying codes with respect to several aspects: complexity of computing an identi... |
2302.13288 | Ying Xu | Ying Xu, Kiran Raja, Luisa Verdoliva, Marius Pedersen | Learning Pairwise Interaction for Generalizable DeepFake Detection | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | A fast-paced development of DeepFake generation techniques challenge the
detection schemes designed for known type DeepFakes. A reliable Deepfake
detection approach must be agnostic to generation types, which can present
diverse quality and appearance. Limited generalizability across different
generation schemes will... | [
{
"created": "Sun, 26 Feb 2023 10:39:08 GMT",
"version": "v1"
}
] | 2023-02-28 | [
[
"Xu",
"Ying",
""
],
[
"Raja",
"Kiran",
""
],
[
"Verdoliva",
"Luisa",
""
],
[
"Pedersen",
"Marius",
""
]
] | A fast-paced development of DeepFake generation techniques challenge the detection schemes designed for known type DeepFakes. A reliable Deepfake detection approach must be agnostic to generation types, which can present diverse quality and appearance. Limited generalizability across different generation schemes will r... |
2408.00864 | Elijah Bouma-Sims | Elijah Bouma-Sims, Lily Klucinec, Mandy Lanyon, Lorrie Faith Cranor,
Julie Downs | Recruiting Teenage Participants for an Online Security Experiment: A
Case Study Using Peachjar | To be presented at the 9th Workshop on Inclusive Privacy and Security
(WIPS 2024) at the Twentieth Symposium on Usable Privacy and Security (SOUPS
2024) | null | null | null | cs.HC | http://creativecommons.org/licenses/by/4.0/ | The recruitment of teenagers for usable privacy and security research is
challenging, but essential. This case study presents our experience using the
online flier distribution service Peachjar to recruit minor teenagers for an
online security experiment. By distributing fliers to 90 K-12 schools, we
recruited a dive... | [
{
"created": "Thu, 1 Aug 2024 18:33:06 GMT",
"version": "v1"
}
] | 2024-08-05 | [
[
"Bouma-Sims",
"Elijah",
""
],
[
"Klucinec",
"Lily",
""
],
[
"Lanyon",
"Mandy",
""
],
[
"Cranor",
"Lorrie Faith",
""
],
[
"Downs",
"Julie",
""
]
] | The recruitment of teenagers for usable privacy and security research is challenging, but essential. This case study presents our experience using the online flier distribution service Peachjar to recruit minor teenagers for an online security experiment. By distributing fliers to 90 K-12 schools, we recruited a divers... |
2310.12467 | Etsuko Ishii | Etsuko Ishii, Yan Xu, Bryan Wilie, Ziwei Ji, Holy Lovenia, Willy
Chung, Pascale Fung | Contrastive Learning for Inference in Dialogue | Accepted to EMNLP2023 | null | null | null | cs.CL | http://creativecommons.org/licenses/by-sa/4.0/ | Inference, especially those derived from inductive processes, is a crucial
component in our conversation to complement the information implicitly or
explicitly conveyed by a speaker. While recent large language models show
remarkable advances in inference tasks, their performance in inductive
reasoning, where not all... | [
{
"created": "Thu, 19 Oct 2023 04:49:36 GMT",
"version": "v1"
},
{
"created": "Mon, 13 Nov 2023 04:18:58 GMT",
"version": "v2"
}
] | 2023-11-14 | [
[
"Ishii",
"Etsuko",
""
],
[
"Xu",
"Yan",
""
],
[
"Wilie",
"Bryan",
""
],
[
"Ji",
"Ziwei",
""
],
[
"Lovenia",
"Holy",
""
],
[
"Chung",
"Willy",
""
],
[
"Fung",
"Pascale",
""
]
] | Inference, especially those derived from inductive processes, is a crucial component in our conversation to complement the information implicitly or explicitly conveyed by a speaker. While recent large language models show remarkable advances in inference tasks, their performance in inductive reasoning, where not all i... |
2309.14247 | Spyridon Mastorakis | Sifat Ut Taki, Spyridon Mastorakis | Rethinking Internet Communication Through LLMs: How Close Are We? | null | null | null | null | cs.NI cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we rethink the way that communication among users over the
Internet, one of the fundamental outcomes of the Internet evolution, takes
place. Instead of users communicating directly over the Internet, we explore an
architecture that enables users to communicate with (query) Large Language
Models (LLMs) ... | [
{
"created": "Mon, 25 Sep 2023 16:07:07 GMT",
"version": "v1"
}
] | 2023-09-26 | [
[
"Taki",
"Sifat Ut",
""
],
[
"Mastorakis",
"Spyridon",
""
]
] | In this paper, we rethink the way that communication among users over the Internet, one of the fundamental outcomes of the Internet evolution, takes place. Instead of users communicating directly over the Internet, we explore an architecture that enables users to communicate with (query) Large Language Models (LLMs) th... |
1511.04458 | Xun Xu | Xun Xu, Timothy Hospedales, Shaogang Gong | Transductive Zero-Shot Action Recognition by Word-Vector Embedding | Accepted by IJCV | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The number of categories for action recognition is growing rapidly and it has
become increasingly hard to label sufficient training data for learning
conventional models for all categories. Instead of collecting ever more data
and labelling them exhaustively for all categories, an attractive alternative
approach is z... | [
{
"created": "Fri, 13 Nov 2015 21:05:20 GMT",
"version": "v1"
},
{
"created": "Fri, 2 Dec 2016 07:17:03 GMT",
"version": "v2"
}
] | 2016-12-05 | [
[
"Xu",
"Xun",
""
],
[
"Hospedales",
"Timothy",
""
],
[
"Gong",
"Shaogang",
""
]
] | The number of categories for action recognition is growing rapidly and it has become increasingly hard to label sufficient training data for learning conventional models for all categories. Instead of collecting ever more data and labelling them exhaustively for all categories, an attractive alternative approach is zer... |
2103.05368 | Jin-Man Park | Jin-Man Park, Jae-Hyuk Jang, Sahng-Min Yoo, Sun-Kyung Lee, Ue-Hwan
Kim, and Jong-Hwan Kim | ChangeSim: Towards End-to-End Online Scene Change Detection in
Industrial Indoor Environments | Accepted to IROS 2021 | null | null | null | cs.CV cs.RO | http://creativecommons.org/licenses/by-sa/4.0/ | We present a challenging dataset, ChangeSim, aimed at online scene change
detection (SCD) and more. The data is collected in photo-realistic simulation
environments with the presence of environmental non-targeted variations, such
as air turbidity and light condition changes, as well as targeted object
changes in indu... | [
{
"created": "Tue, 9 Mar 2021 11:36:29 GMT",
"version": "v1"
},
{
"created": "Thu, 22 Jul 2021 06:52:15 GMT",
"version": "v2"
}
] | 2021-07-23 | [
[
"Park",
"Jin-Man",
""
],
[
"Jang",
"Jae-Hyuk",
""
],
[
"Yoo",
"Sahng-Min",
""
],
[
"Lee",
"Sun-Kyung",
""
],
[
"Kim",
"Ue-Hwan",
""
],
[
"Kim",
"Jong-Hwan",
""
]
] | We present a challenging dataset, ChangeSim, aimed at online scene change detection (SCD) and more. The data is collected in photo-realistic simulation environments with the presence of environmental non-targeted variations, such as air turbidity and light condition changes, as well as targeted object changes in indust... |
2007.08285 | Troy Lee | Troy Lee and Miklos Santha and Shengyu Zhang | Quantum algorithms for graph problems with cut queries | Corrected an error in Lemma 1. This led to an extra log factor in the
complexity of the connectivity and spanning forest algorithms | null | null | null | cs.DS quant-ph | http://creativecommons.org/licenses/by/4.0/ | Let $G$ be an $n$-vertex graph with $m$ edges. When asked a subset $S$ of
vertices, a cut query on $G$ returns the number of edges of $G$ that have
exactly one endpoint in $S$. We show that there is a bounded-error quantum
algorithm that determines all connected components of $G$ after making
$O(\log(n)^6)$ many cut ... | [
{
"created": "Thu, 16 Jul 2020 12:21:01 GMT",
"version": "v1"
},
{
"created": "Tue, 4 Aug 2020 12:04:07 GMT",
"version": "v2"
}
] | 2020-08-05 | [
[
"Lee",
"Troy",
""
],
[
"Santha",
"Miklos",
""
],
[
"Zhang",
"Shengyu",
""
]
] | Let $G$ be an $n$-vertex graph with $m$ edges. When asked a subset $S$ of vertices, a cut query on $G$ returns the number of edges of $G$ that have exactly one endpoint in $S$. We show that there is a bounded-error quantum algorithm that determines all connected components of $G$ after making $O(\log(n)^6)$ many cut qu... |
1805.10638 | Bailin Deng | Juyong Zhang, Yuxin Yao, Yue Peng, Hao Yu, Bailin Deng | Fast K-Means Clustering with Anderson Acceleration | null | null | null | null | cs.LG cs.NA stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a novel method to accelerate Lloyd's algorithm for K-Means
clustering. Unlike previous acceleration approaches that reduce computational
cost per iterations or improve initialization, our approach is focused on
reducing the number of iterations required for convergence. This is achieved by
treating the ass... | [
{
"created": "Sun, 27 May 2018 15:17:33 GMT",
"version": "v1"
}
] | 2018-05-29 | [
[
"Zhang",
"Juyong",
""
],
[
"Yao",
"Yuxin",
""
],
[
"Peng",
"Yue",
""
],
[
"Yu",
"Hao",
""
],
[
"Deng",
"Bailin",
""
]
] | We propose a novel method to accelerate Lloyd's algorithm for K-Means clustering. Unlike previous acceleration approaches that reduce computational cost per iterations or improve initialization, our approach is focused on reducing the number of iterations required for convergence. This is achieved by treating the assig... |
2403.17852 | Shuyi Chen | Shuyi Chen, Shixiang Zhu | Counterfactual Fairness through Transforming Data Orthogonal to Bias | null | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | Machine learning models have shown exceptional prowess in solving complex
issues across various domains. However, these models can sometimes exhibit
biased decision-making, resulting in unequal treatment of different groups.
Despite substantial research on counterfactual fairness, methods to reduce the
impact of mult... | [
{
"created": "Tue, 26 Mar 2024 16:40:08 GMT",
"version": "v1"
},
{
"created": "Sun, 30 Jun 2024 01:51:00 GMT",
"version": "v2"
}
] | 2024-07-02 | [
[
"Chen",
"Shuyi",
""
],
[
"Zhu",
"Shixiang",
""
]
] | Machine learning models have shown exceptional prowess in solving complex issues across various domains. However, these models can sometimes exhibit biased decision-making, resulting in unequal treatment of different groups. Despite substantial research on counterfactual fairness, methods to reduce the impact of multiv... |
1606.02393 | Paul Hongsuck Seo | Paul Hongsuck Seo, Zhe Lin, Scott Cohen, Xiaohui Shen, Bohyung Han | Progressive Attention Networks for Visual Attribute Prediction | BMVC 2018 accepted paper | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a novel attention model that can accurately attends to target
objects of various scales and shapes in images. The model is trained to
gradually suppress irrelevant regions in an input image via a progressive
attentive process over multiple layers of a convolutional neural network. The
attentive process in ... | [
{
"created": "Wed, 8 Jun 2016 04:27:52 GMT",
"version": "v1"
},
{
"created": "Fri, 2 Dec 2016 08:48:44 GMT",
"version": "v2"
},
{
"created": "Wed, 7 Dec 2016 05:39:56 GMT",
"version": "v3"
},
{
"created": "Fri, 3 Mar 2017 14:07:07 GMT",
"version": "v4"
},
{
"creat... | 2018-08-08 | [
[
"Seo",
"Paul Hongsuck",
""
],
[
"Lin",
"Zhe",
""
],
[
"Cohen",
"Scott",
""
],
[
"Shen",
"Xiaohui",
""
],
[
"Han",
"Bohyung",
""
]
] | We propose a novel attention model that can accurately attends to target objects of various scales and shapes in images. The model is trained to gradually suppress irrelevant regions in an input image via a progressive attentive process over multiple layers of a convolutional neural network. The attentive process in ea... |
2111.05991 | Sachithra Lokuge | Ali Alruthaya, Thanh-Thuy Nguyen and Sachithra Lokuge | The Application of Digital Technology and the Learning Characteristics
of Generation Z in Higher Education | null | null | null | null | cs.CY cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | The Generation Z (Gen Z), or the digital natives have never experienced a
life without the internet. In addition, the advancement of digital technologies
such as social media, smart mobile technologies, cloud computing, and the
Internet-of-things has transformed how individuals perform their day-to-day
activities. Es... | [
{
"created": "Wed, 10 Nov 2021 23:43:49 GMT",
"version": "v1"
}
] | 2021-11-12 | [
[
"Alruthaya",
"Ali",
""
],
[
"Nguyen",
"Thanh-Thuy",
""
],
[
"Lokuge",
"Sachithra",
""
]
] | The Generation Z (Gen Z), or the digital natives have never experienced a life without the internet. In addition, the advancement of digital technologies such as social media, smart mobile technologies, cloud computing, and the Internet-of-things has transformed how individuals perform their day-to-day activities. Espe... |
2106.15664 | Ariel Sapir | Amir Sapir, Ariel Sapir | Is 2NF a Stable Normal Form? | 10 pages, 1 figure | null | null | null | cs.DB | http://creativecommons.org/licenses/by/4.0/ | Traditionally, it was accepted that a relational database can be normalized
step-by-step, from a set of un-normalized tables to tables in $1NF$, then to
$2NF$, then to $3NF$, then (possibly) to $BCNF$. The rule applied to a table in
$1NF$ in order to transform it to a set of tables in $2NF$ seems to be too
straightfo... | [
{
"created": "Tue, 29 Jun 2021 18:14:26 GMT",
"version": "v1"
}
] | 2021-07-01 | [
[
"Sapir",
"Amir",
""
],
[
"Sapir",
"Ariel",
""
]
] | Traditionally, it was accepted that a relational database can be normalized step-by-step, from a set of un-normalized tables to tables in $1NF$, then to $2NF$, then to $3NF$, then (possibly) to $BCNF$. The rule applied to a table in $1NF$ in order to transform it to a set of tables in $2NF$ seems to be too straightforw... |
2112.07938 | Francesc Wilhelmi | Francesc Wilhelmi, Lorenza Giupponi, Paolo Dini | Analysis and Evaluation of Synchronous and Asynchronous FLchain | null | null | null | null | cs.LG cs.DC cs.NI | http://creativecommons.org/licenses/by/4.0/ | Motivated by the heterogeneous nature of devices participating in large-scale
Federated Learning (FL) optimization, we focus on an asynchronous server-less
FL solution empowered by blockchain technology. In contrast to mostly adopted
FL approaches, which assume synchronous operation, we advocate an asynchronous
metho... | [
{
"created": "Wed, 15 Dec 2021 07:41:23 GMT",
"version": "v1"
},
{
"created": "Fri, 29 Jul 2022 17:56:13 GMT",
"version": "v2"
},
{
"created": "Mon, 5 Sep 2022 08:30:11 GMT",
"version": "v3"
}
] | 2022-09-07 | [
[
"Wilhelmi",
"Francesc",
""
],
[
"Giupponi",
"Lorenza",
""
],
[
"Dini",
"Paolo",
""
]
] | Motivated by the heterogeneous nature of devices participating in large-scale Federated Learning (FL) optimization, we focus on an asynchronous server-less FL solution empowered by blockchain technology. In contrast to mostly adopted FL approaches, which assume synchronous operation, we advocate an asynchronous method ... |
1812.08125 | Jimmy Ren | Yan Chen, Jimmy Ren, Xuanye Cheng, Keyuan Qian, Jinwei Gu | Very Power Efficient Neural Time-of-Flight | preprint | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Time-of-Flight (ToF) cameras require active illumination to obtain depth
information thus the power of illumination directly affects the performance of
ToF cameras. Traditional ToF imaging algorithms is very sensitive to
illumination and the depth accuracy degenerates rapidly with the power of it.
Therefore, the desi... | [
{
"created": "Wed, 19 Dec 2018 18:08:48 GMT",
"version": "v1"
}
] | 2018-12-20 | [
[
"Chen",
"Yan",
""
],
[
"Ren",
"Jimmy",
""
],
[
"Cheng",
"Xuanye",
""
],
[
"Qian",
"Keyuan",
""
],
[
"Gu",
"Jinwei",
""
]
] | Time-of-Flight (ToF) cameras require active illumination to obtain depth information thus the power of illumination directly affects the performance of ToF cameras. Traditional ToF imaging algorithms is very sensitive to illumination and the depth accuracy degenerates rapidly with the power of it. Therefore, the design... |
2108.07049 | Vladislav Sovrasov | Kirill Prokofiev and Vladislav Sovrasov | Towards Efficient and Data Agnostic Image Classification Training
Pipeline for Embedded Systems | Submitted to ICIAP 2022 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Nowadays deep learning-based methods have achieved a remarkable progress at
the image classification task among a wide range of commonly used datasets
(ImageNet, CIFAR, SVHN, Caltech 101, SUN397, etc.). SOTA performance on each of
the mentioned datasets is obtained by careful tuning of the model architecture
and trai... | [
{
"created": "Mon, 16 Aug 2021 12:38:05 GMT",
"version": "v1"
}
] | 2021-08-17 | [
[
"Prokofiev",
"Kirill",
""
],
[
"Sovrasov",
"Vladislav",
""
]
] | Nowadays deep learning-based methods have achieved a remarkable progress at the image classification task among a wide range of commonly used datasets (ImageNet, CIFAR, SVHN, Caltech 101, SUN397, etc.). SOTA performance on each of the mentioned datasets is obtained by careful tuning of the model architecture and traini... |
1607.04805 | Paris Perdikaris | Maziar Raissi, Paris Perdikaris, George Em. Karniadakis | Inferring solutions of differential equations using noisy multi-fidelity
data | 19 pages, 3 figures | null | 10.1016/j.jcp.2017.01.060 | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | For more than two centuries, solutions of differential equations have been
obtained either analytically or numerically based on typically well-behaved
forcing and boundary conditions for well-posed problems. We are changing this
paradigm in a fundamental way by establishing an interface between
probabilistic machine ... | [
{
"created": "Sat, 16 Jul 2016 22:12:26 GMT",
"version": "v1"
}
] | 2017-03-08 | [
[
"Raissi",
"Maziar",
""
],
[
"Perdikaris",
"Paris",
""
],
[
"Karniadakis",
"George Em.",
""
]
] | For more than two centuries, solutions of differential equations have been obtained either analytically or numerically based on typically well-behaved forcing and boundary conditions for well-posed problems. We are changing this paradigm in a fundamental way by establishing an interface between probabilistic machine le... |
1910.00292 | Florian Schmidt | Florian Schmidt | Generalization in Generation: A closer look at Exposure Bias | wngt2019 camera ready | null | null | null | cs.LG cs.CL stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Exposure bias refers to the train-test discrepancy that seemingly arises when
an autoregressive generative model uses only ground-truth contexts at training
time but generated ones at test time. We separate the contributions of the
model and the learning framework to clarify the debate on consequences and
review prop... | [
{
"created": "Tue, 1 Oct 2019 10:28:32 GMT",
"version": "v1"
},
{
"created": "Thu, 7 Nov 2019 06:55:36 GMT",
"version": "v2"
}
] | 2019-11-11 | [
[
"Schmidt",
"Florian",
""
]
] | Exposure bias refers to the train-test discrepancy that seemingly arises when an autoregressive generative model uses only ground-truth contexts at training time but generated ones at test time. We separate the contributions of the model and the learning framework to clarify the debate on consequences and review propos... |
1903.06440 | Agata Barci\'s | Agata Barci\'s, Micha{\l} Barci\'s, Christian Bettstetter | Robots that Sync and Swarm: A Proof of Concept in ROS 2 | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A unified mathematical model for synchronisation and swarming has recently
been proposed. Each system entity, called a "swarmalator", coordinates its
internal phase and location with the other entities in a way that these two
attributes are mutually coupled. This paper realises and studies, for the first
time, the co... | [
{
"created": "Fri, 15 Mar 2019 10:16:50 GMT",
"version": "v1"
},
{
"created": "Mon, 8 Apr 2019 14:09:09 GMT",
"version": "v2"
},
{
"created": "Fri, 16 Aug 2019 21:42:42 GMT",
"version": "v3"
},
{
"created": "Thu, 12 Sep 2019 10:44:04 GMT",
"version": "v4"
}
] | 2019-09-13 | [
[
"Barciś",
"Agata",
""
],
[
"Barciś",
"Michał",
""
],
[
"Bettstetter",
"Christian",
""
]
] | A unified mathematical model for synchronisation and swarming has recently been proposed. Each system entity, called a "swarmalator", coordinates its internal phase and location with the other entities in a way that these two attributes are mutually coupled. This paper realises and studies, for the first time, the conc... |
cs/0409006 | Dumitru Vulcanov | Dumitru N. Vulcanov, Valentina D. Vulcanov (The West University of
Timisoara, Romania) | Maple+GrTensorII libraries for cosmology | LaTeX LLNCS style, 8 pages, accepted for SYNASC 2004 - 6th
International Symposium on Symbolic and Numeric Algorithms for Scientific
Computing, Timisoara, Romania, September 26-30 2004 | null | null | null | cs.SC gr-qc | null | The article mainly presents some results in using MAPLE platform for computer
algebra and GrTensorII package in doing calculations for theoretical and
numerical cosmology
| [
{
"created": "Sat, 4 Sep 2004 12:52:22 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Vulcanov",
"Dumitru N.",
"",
"The West University of\n Timisoara, Romania"
],
[
"Vulcanov",
"Valentina D.",
"",
"The West University of\n Timisoara, Romania"
]
] | The article mainly presents some results in using MAPLE platform for computer algebra and GrTensorII package in doing calculations for theoretical and numerical cosmology |
2209.07795 | Astrid Orcesi | Adrien Maglo, Astrid Orcesi and Quoc Cuong Pham | KaliCalib: A Framework for Basketball Court Registration | Accepted at ACM MMSports 2022 (5th International ACM Workshop on
Multimedia Content Analysis in Sports) | null | 10.1145/3552437.3555701 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Tracking the players and the ball in team sports is key to analyse the
performance or to enhance the game watching experience with augmented reality.
When the only sources for this data are broadcast videos, sports-field
registration systems are required to estimate the homography and re-project the
ball or the playe... | [
{
"created": "Fri, 16 Sep 2022 08:52:29 GMT",
"version": "v1"
}
] | 2022-09-19 | [
[
"Maglo",
"Adrien",
""
],
[
"Orcesi",
"Astrid",
""
],
[
"Pham",
"Quoc Cuong",
""
]
] | Tracking the players and the ball in team sports is key to analyse the performance or to enhance the game watching experience with augmented reality. When the only sources for this data are broadcast videos, sports-field registration systems are required to estimate the homography and re-project the ball or the players... |
1604.06764 | Jan Otop | Krishnendu Chatterjee, Thomas A. Henzinger and Jan Otop | Quantitative Automata under Probabilistic Semantics | null | Logical Methods in Computer Science, Volume 15, Issue 3 (August
13, 2019) lmcs:4512 | 10.23638/LMCS-15(3:16)2019 | null | cs.FL | http://creativecommons.org/licenses/by/4.0/ | Automata with monitor counters, where the transitions do not depend on
counter values, and nested weighted automata are two expressive
automata-theoretic frameworks for quantitative properties. For a well-studied
and wide class of quantitative functions, we establish that automata with
monitor counters and nested wei... | [
{
"created": "Fri, 22 Apr 2016 18:11:36 GMT",
"version": "v1"
},
{
"created": "Mon, 14 May 2018 10:23:43 GMT",
"version": "v2"
},
{
"created": "Thu, 9 May 2019 14:31:55 GMT",
"version": "v3"
},
{
"created": "Sat, 10 Aug 2019 15:12:50 GMT",
"version": "v4"
}
] | 2023-06-22 | [
[
"Chatterjee",
"Krishnendu",
""
],
[
"Henzinger",
"Thomas A.",
""
],
[
"Otop",
"Jan",
""
]
] | Automata with monitor counters, where the transitions do not depend on counter values, and nested weighted automata are two expressive automata-theoretic frameworks for quantitative properties. For a well-studied and wide class of quantitative functions, we establish that automata with monitor counters and nested weigh... |
2005.02858 | H\'elio M. de Oliveira | Ernande F. Melo and H. M. de Oliveira | An Overview of Self-Similar Traffic: Its Implications in the Network
Design | 9 pages, 16 figures | Revista de Tecnologia da Informa\c{c}\~ao e Comunica\c{c}\~ao, v.
9, n. 1, p. 38-46, May 2020 | null | ISSN 2237-5104 | cs.NI cs.PF | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The knowledge about the true nature of the traffic in computer networking is
a key requirement in the design of such networks. The phenomenon of
self-similarity is a characteristic of the traffic of current client/server
packet networks in LAN/WAN environments dominated by network technologies such
as Ethernet and th... | [
{
"created": "Wed, 6 May 2020 14:38:27 GMT",
"version": "v1"
}
] | 2020-05-22 | [
[
"Melo",
"Ernande F.",
""
],
[
"de Oliveira",
"H. M.",
""
]
] | The knowledge about the true nature of the traffic in computer networking is a key requirement in the design of such networks. The phenomenon of self-similarity is a characteristic of the traffic of current client/server packet networks in LAN/WAN environments dominated by network technologies such as Ethernet and the ... |
2311.07884 | Yusen Zhang | Yusen Zhang, Nan Zhang, Yixin Liu, Alexander Fabbri, Junru Liu, Ryo
Kamoi, Xiaoxin Lu, Caiming Xiong, Jieyu Zhao, Dragomir Radev, Kathleen
McKeown, Rui Zhang | Fair Abstractive Summarization of Diverse Perspectives | NAACL 2024 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | People from different social and demographic groups express diverse
perspectives and conflicting opinions on a broad set of topics such as product
reviews, healthcare, law, and politics. A fair summary should provide a
comprehensive coverage of diverse perspectives without underrepresenting
certain groups. However, c... | [
{
"created": "Tue, 14 Nov 2023 03:38:55 GMT",
"version": "v1"
},
{
"created": "Sat, 30 Mar 2024 03:54:06 GMT",
"version": "v2"
}
] | 2024-04-02 | [
[
"Zhang",
"Yusen",
""
],
[
"Zhang",
"Nan",
""
],
[
"Liu",
"Yixin",
""
],
[
"Fabbri",
"Alexander",
""
],
[
"Liu",
"Junru",
""
],
[
"Kamoi",
"Ryo",
""
],
[
"Lu",
"Xiaoxin",
""
],
[
"Xiong",
"Caimin... | People from different social and demographic groups express diverse perspectives and conflicting opinions on a broad set of topics such as product reviews, healthcare, law, and politics. A fair summary should provide a comprehensive coverage of diverse perspectives without underrepresenting certain groups. However, cur... |
2210.07239 | Menelaos Kanakis | Menelaos Kanakis, Thomas E. Huang, David Bruggemann, Fisher Yu, Luc
Van Gool | Composite Learning for Robust and Effective Dense Predictions | Winter Conference on Applications of Computer Vision (WACV), 2023 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-sa/4.0/ | Multi-task learning promises better model generalization on a target task by
jointly optimizing it with an auxiliary task. However, the current practice
requires additional labeling efforts for the auxiliary task, while not
guaranteeing better model performance. In this paper, we find that jointly
training a dense pr... | [
{
"created": "Thu, 13 Oct 2022 17:59:16 GMT",
"version": "v1"
}
] | 2022-10-14 | [
[
"Kanakis",
"Menelaos",
""
],
[
"Huang",
"Thomas E.",
""
],
[
"Bruggemann",
"David",
""
],
[
"Yu",
"Fisher",
""
],
[
"Van Gool",
"Luc",
""
]
] | Multi-task learning promises better model generalization on a target task by jointly optimizing it with an auxiliary task. However, the current practice requires additional labeling efforts for the auxiliary task, while not guaranteeing better model performance. In this paper, we find that jointly training a dense pred... |
0804.2991 | Enrico Paolini | Enrico Paolini, Gianluigi Liva, Michela Varrella, Balazs Matuz, Marco
Chiani | Low-Complexity LDPC Codes with Near-Optimum Performance over the BEC | 2008 Advanced Satellite Mobile Systems Conference. 9 pages, 12
figures | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent works showed how low-density parity-check (LDPC) erasure correcting
codes, under maximum likelihood (ML) decoding, are capable of tightly
approaching the performance of an ideal maximum-distance-separable code on the
binary erasure channel. Such result is achievable down to low error rates, even
for small and ... | [
{
"created": "Fri, 18 Apr 2008 10:49:44 GMT",
"version": "v1"
}
] | 2008-04-21 | [
[
"Paolini",
"Enrico",
""
],
[
"Liva",
"Gianluigi",
""
],
[
"Varrella",
"Michela",
""
],
[
"Matuz",
"Balazs",
""
],
[
"Chiani",
"Marco",
""
]
] | Recent works showed how low-density parity-check (LDPC) erasure correcting codes, under maximum likelihood (ML) decoding, are capable of tightly approaching the performance of an ideal maximum-distance-separable code on the binary erasure channel. Such result is achievable down to low error rates, even for small and mo... |
2304.07258 | Benjamin Towle | Benjamin Towle and Ke Zhou | Learn What Is Possible, Then Choose What Is Best: Disentangling
One-To-Many Relations in Language Through Text-based Games | EMNLP Findings 2022 | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Language models pre-trained on large self-supervised corpora, followed by
task-specific fine-tuning has become the dominant paradigm in NLP. These
pre-training datasets often have a one-to-many structure--e.g. in dialogue
there are many valid responses for a given context. However, only some of these
responses will b... | [
{
"created": "Fri, 14 Apr 2023 17:11:26 GMT",
"version": "v1"
},
{
"created": "Wed, 26 Apr 2023 10:35:13 GMT",
"version": "v2"
}
] | 2023-04-27 | [
[
"Towle",
"Benjamin",
""
],
[
"Zhou",
"Ke",
""
]
] | Language models pre-trained on large self-supervised corpora, followed by task-specific fine-tuning has become the dominant paradigm in NLP. These pre-training datasets often have a one-to-many structure--e.g. in dialogue there are many valid responses for a given context. However, only some of these responses will be ... |
2402.05236 | Fernando Barbosa | Erik Warberg (1), Adam Miksits (1 and 2), Fernando S. Barbosa (2) ((1)
KTH Royal Institute of Technology, (2) Ericsson Research) | Real-Time Line-Based Room Segmentation and Continuous Euclidean Distance
Fields | Open-source code:
https://github.com/EricssonResearch/Line-Based-Room-Segmentation-and-EDF | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Continuous maps representations, as opposed to traditional discrete ones such
as grid maps, have been gaining traction in the research community. However,
current approaches still suffer from high computation costs, making them unable
to be used in large environments without sacrificing precision. In this paper,
a sc... | [
{
"created": "Wed, 7 Feb 2024 20:18:15 GMT",
"version": "v1"
}
] | 2024-02-09 | [
[
"Warberg",
"Erik",
"",
"1 and 2"
],
[
"Miksits",
"Adam",
"",
"1 and 2"
],
[
"Barbosa",
"Fernando S.",
""
]
] | Continuous maps representations, as opposed to traditional discrete ones such as grid maps, have been gaining traction in the research community. However, current approaches still suffer from high computation costs, making them unable to be used in large environments without sacrificing precision. In this paper, a scal... |
2103.13127 | Yinpeng Dong | Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang
Su, Jun Zhu | Black-box Detection of Backdoor Attacks with Limited Information and
Data | null | null | null | null | cs.CR cs.CV cs.LG stat.ML | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Although deep neural networks (DNNs) have made rapid progress in recent
years, they are vulnerable in adversarial environments. A malicious backdoor
could be embedded in a model by poisoning the training dataset, whose intention
is to make the infected model give wrong predictions during inference when the
specific t... | [
{
"created": "Wed, 24 Mar 2021 12:06:40 GMT",
"version": "v1"
}
] | 2021-03-25 | [
[
"Dong",
"Yinpeng",
""
],
[
"Yang",
"Xiao",
""
],
[
"Deng",
"Zhijie",
""
],
[
"Pang",
"Tianyu",
""
],
[
"Xiao",
"Zihao",
""
],
[
"Su",
"Hang",
""
],
[
"Zhu",
"Jun",
""
]
] | Although deep neural networks (DNNs) have made rapid progress in recent years, they are vulnerable in adversarial environments. A malicious backdoor could be embedded in a model by poisoning the training dataset, whose intention is to make the infected model give wrong predictions during inference when the specific tri... |
1111.4737 | EPTCS | Sebastian Buchwald (Karlsruhe Institute of Technology (KIT)), Edgar
Jakumeit (Karlsruhe Institute of Technology (KIT)) | Compiler Optimization: A Case for the Transformation Tool Contest | In Proceedings TTC 2011, arXiv:1111.4407 | EPTCS 74, 2011, pp. 6-16 | 10.4204/EPTCS.74.2 | null | cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An optimizing compiler consists of a front end parsing a textual programming
language into an intermediate representation (IR), a middle end performing
optimizations on the IR, and a back end lowering the IR to a target
representation (TR) built of operations supported by the target hardware. In
modern compiler const... | [
{
"created": "Mon, 21 Nov 2011 05:24:23 GMT",
"version": "v1"
}
] | 2011-11-22 | [
[
"Buchwald",
"Sebastian",
"",
"Karlsruhe Institute of Technology"
],
[
"Jakumeit",
"Edgar",
"",
"Karlsruhe Institute of Technology"
]
] | An optimizing compiler consists of a front end parsing a textual programming language into an intermediate representation (IR), a middle end performing optimizations on the IR, and a back end lowering the IR to a target representation (TR) built of operations supported by the target hardware. In modern compiler constru... |
2309.14356 | Phillip Howard | Tiep Le and Vasudev Lal and Phillip Howard | COCO-Counterfactuals: Automatically Constructed Counterfactual Examples
for Image-Text Pairs | Accepted to NeurIPS 2023 Datasets and Benchmarks Track | null | null | null | cs.LG cs.CL cs.CV | http://creativecommons.org/licenses/by/4.0/ | Counterfactual examples have proven to be valuable in the field of natural
language processing (NLP) for both evaluating and improving the robustness of
language models to spurious correlations in datasets. Despite their
demonstrated utility for NLP, multimodal counterfactual examples have been
relatively unexplored ... | [
{
"created": "Sat, 23 Sep 2023 00:16:47 GMT",
"version": "v1"
},
{
"created": "Tue, 31 Oct 2023 15:41:25 GMT",
"version": "v2"
}
] | 2023-11-01 | [
[
"Le",
"Tiep",
""
],
[
"Lal",
"Vasudev",
""
],
[
"Howard",
"Phillip",
""
]
] | Counterfactual examples have proven to be valuable in the field of natural language processing (NLP) for both evaluating and improving the robustness of language models to spurious correlations in datasets. Despite their demonstrated utility for NLP, multimodal counterfactual examples have been relatively unexplored du... |
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