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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1906.11278 | Fatemeh Kazemi | Fatemeh Kazemi, Esmaeil Karimi, Anoosheh Heidarzadeh, and Alex
Sprintson | Private Information Retrieval with Private Coded Side Information: The
Multi-Server Case | 11 pages | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we consider the multi-server setting of Private Information
Retrieval with Private Coded Side Information (PIR-PCSI) problem. In this
problem, there is a database of $K$ messages whose copies are replicated across
$N$ servers, and there is a user who knows a random linear combination of a
random subset... | [
{
"created": "Wed, 26 Jun 2019 18:12:01 GMT",
"version": "v1"
}
] | 2019-06-28 | [
[
"Kazemi",
"Fatemeh",
""
],
[
"Karimi",
"Esmaeil",
""
],
[
"Heidarzadeh",
"Anoosheh",
""
],
[
"Sprintson",
"Alex",
""
]
] | In this paper, we consider the multi-server setting of Private Information Retrieval with Private Coded Side Information (PIR-PCSI) problem. In this problem, there is a database of $K$ messages whose copies are replicated across $N$ servers, and there is a user who knows a random linear combination of a random subset o... |
2309.04025 | Kashyap Todi | Kashyap Todi, Tanya R. Jonker | A Framework for Computational Design and Adaptation of Extended Reality
User Interfaces | 5 pages, CHI 2023 Workshop on The Future of Computational Approaches
for Understanding and Adapting User Interfaces | null | null | null | cs.HC | http://creativecommons.org/licenses/by/4.0/ | To facilitate high quality interaction during the regular use of computing
systems, it is essential that the user interface (UI) deliver content and
components in an appropriate manner. Although extended reality (XR) is emerging
as a new computing platform, we still have a limited understanding of how best
to design ... | [
{
"created": "Thu, 7 Sep 2023 21:37:52 GMT",
"version": "v1"
}
] | 2023-09-11 | [
[
"Todi",
"Kashyap",
""
],
[
"Jonker",
"Tanya R.",
""
]
] | To facilitate high quality interaction during the regular use of computing systems, it is essential that the user interface (UI) deliver content and components in an appropriate manner. Although extended reality (XR) is emerging as a new computing platform, we still have a limited understanding of how best to design an... |
2102.04828 | Sebastian U. Stich | Lingjing Kong, Tao Lin, Anastasia Koloskova, Martin Jaggi, Sebastian
U. Stich | Consensus Control for Decentralized Deep Learning | LK and TL contribute equally - ICML 2021 | Proceedings of the 38th International Conference on Machine
Learning (ICML), PMLR 139, 2021 | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Decentralized training of deep learning models enables on-device learning
over networks, as well as efficient scaling to large compute clusters.
Experiments in earlier works reveal that, even in a data-center setup,
decentralized training often suffers from the degradation in the quality of the
model: the training an... | [
{
"created": "Tue, 9 Feb 2021 13:58:33 GMT",
"version": "v1"
},
{
"created": "Fri, 18 Jun 2021 08:15:00 GMT",
"version": "v2"
}
] | 2021-06-21 | [
[
"Kong",
"Lingjing",
""
],
[
"Lin",
"Tao",
""
],
[
"Koloskova",
"Anastasia",
""
],
[
"Jaggi",
"Martin",
""
],
[
"Stich",
"Sebastian U.",
""
]
] | Decentralized training of deep learning models enables on-device learning over networks, as well as efficient scaling to large compute clusters. Experiments in earlier works reveal that, even in a data-center setup, decentralized training often suffers from the degradation in the quality of the model: the training and ... |
1507.05283 | Kumar Sankar Ray | Kingshuk Chatterjee, Kumar Sankar Ray | Reversible Watson-Crick Automata | arXiv admin note: text overlap with arXiv:1507.05282 | null | null | null | cs.FL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Watson-Crick automata are finite automata working on double strands.
Extensive research work has already been done on non-deterministic Watson-Crick
automata and on deterministic Watson-Crick automata. In this paper, we
introduce a new model of Watson-Crick automata which is reversible in nature
named reversible Wats... | [
{
"created": "Sun, 19 Jul 2015 13:00:59 GMT",
"version": "v1"
},
{
"created": "Wed, 9 Dec 2015 07:54:05 GMT",
"version": "v2"
}
] | 2015-12-10 | [
[
"Chatterjee",
"Kingshuk",
""
],
[
"Ray",
"Kumar Sankar",
""
]
] | Watson-Crick automata are finite automata working on double strands. Extensive research work has already been done on non-deterministic Watson-Crick automata and on deterministic Watson-Crick automata. In this paper, we introduce a new model of Watson-Crick automata which is reversible in nature named reversible Watson... |
2303.10561 | Peng Zou | Peng Zou, Rui Wang, Kehua Wen, Yasi Peng and Xiao Sun | Spatial-temporal Transformer for Affective Behavior Analysis | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The in-the-wild affective behavior analysis has been an important study. In
this paper, we submit our solutions for the 5th Workshop and Competition on
Affective Behavior Analysis in-the-wild (ABAW), which includes V-A Estimation,
Facial Expression Classification and AU Detection Sub-challenges. We propose a
Transfor... | [
{
"created": "Sun, 19 Mar 2023 04:34:17 GMT",
"version": "v1"
}
] | 2023-03-21 | [
[
"Zou",
"Peng",
""
],
[
"Wang",
"Rui",
""
],
[
"Wen",
"Kehua",
""
],
[
"Peng",
"Yasi",
""
],
[
"Sun",
"Xiao",
""
]
] | The in-the-wild affective behavior analysis has been an important study. In this paper, we submit our solutions for the 5th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW), which includes V-A Estimation, Facial Expression Classification and AU Detection Sub-challenges. We propose a Transforme... |
2011.11722 | Deepali Jain | Deepali Jain, Atil Iscen, Ken Caluwaerts | From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion | null | 4th Conference on Robot Learning (CoRL 2020), Cambridge MA, USA | null | null | cs.RO cs.CV cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Legged robots navigating crowded scenes and complex terrains in the real
world are required to execute dynamic leg movements while processing visual
input for obstacle avoidance and path planning. We show that a quadruped robot
can acquire both of these skills by means of hierarchical reinforcement
learning (HRL). By... | [
{
"created": "Mon, 23 Nov 2020 20:55:54 GMT",
"version": "v1"
}
] | 2020-12-01 | [
[
"Jain",
"Deepali",
""
],
[
"Iscen",
"Atil",
""
],
[
"Caluwaerts",
"Ken",
""
]
] | Legged robots navigating crowded scenes and complex terrains in the real world are required to execute dynamic leg movements while processing visual input for obstacle avoidance and path planning. We show that a quadruped robot can acquire both of these skills by means of hierarchical reinforcement learning (HRL). By v... |
1307.0339 | Cheng-Yuan Liou | Cheng-Yuan Liou, Bo-Shiang Huang, Daw-Ran Liou and Alex A. Simak | Syntactic sensitive complexity for symbol-free sequence | 11 pages, 5 figures | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work uses the L-system to construct a tree structure for the text
sequence and derives its complexity. It serves as a measure of structural
complexity of the text. It is applied to anomaly detection in data
transmission.
| [
{
"created": "Mon, 1 Jul 2013 12:00:59 GMT",
"version": "v1"
},
{
"created": "Tue, 2 Jul 2013 02:08:48 GMT",
"version": "v2"
}
] | 2013-07-03 | [
[
"Liou",
"Cheng-Yuan",
""
],
[
"Huang",
"Bo-Shiang",
""
],
[
"Liou",
"Daw-Ran",
""
],
[
"Simak",
"Alex A.",
""
]
] | This work uses the L-system to construct a tree structure for the text sequence and derives its complexity. It serves as a measure of structural complexity of the text. It is applied to anomaly detection in data transmission. |
1810.03649 | Sainandan Ramakrishnan | Sainandan Ramakrishnan, Aishwarya Agrawal, Stefan Lee | Overcoming Language Priors in Visual Question Answering with Adversarial
Regularization | NIPS 2018. 11 pages ( with references ), 4 figures, 2 tables | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern Visual Question Answering (VQA) models have been shown to rely heavily
on superficial correlations between question and answer words learned during
training such as overwhelmingly reporting the type of room as kitchen or the
sport being played as tennis, irrespective of the image. Most alarmingly, this
shortco... | [
{
"created": "Mon, 8 Oct 2018 18:29:05 GMT",
"version": "v1"
},
{
"created": "Thu, 8 Nov 2018 20:51:44 GMT",
"version": "v2"
}
] | 2018-11-12 | [
[
"Ramakrishnan",
"Sainandan",
""
],
[
"Agrawal",
"Aishwarya",
""
],
[
"Lee",
"Stefan",
""
]
] | Modern Visual Question Answering (VQA) models have been shown to rely heavily on superficial correlations between question and answer words learned during training such as overwhelmingly reporting the type of room as kitchen or the sport being played as tennis, irrespective of the image. Most alarmingly, this shortcomi... |
1712.08910 | Simina Br\^anzei | Simina Br\^anzei and Aris Filos-Ratsikas | Walrasian Dynamics in Multi-unit Markets | null | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In a multi-unit market, a seller brings multiple units of a good and tries to
sell them to a set of buyers that have monetary endowments. While a Walrasian
equilibrium does not always exist in this model, natural relaxations of the
concept that retain its desirable fairness properties do exist.
We study the dynamic... | [
{
"created": "Sun, 24 Dec 2017 12:13:24 GMT",
"version": "v1"
},
{
"created": "Wed, 21 Feb 2018 01:02:22 GMT",
"version": "v2"
},
{
"created": "Thu, 27 Sep 2018 16:24:04 GMT",
"version": "v3"
}
] | 2018-09-28 | [
[
"Brânzei",
"Simina",
""
],
[
"Filos-Ratsikas",
"Aris",
""
]
] | In a multi-unit market, a seller brings multiple units of a good and tries to sell them to a set of buyers that have monetary endowments. While a Walrasian equilibrium does not always exist in this model, natural relaxations of the concept that retain its desirable fairness properties do exist. We study the dynamics of... |
1703.10318 | Sung-Han Lin | Sung-Han Lin, Ranjan Pal, Marco Paolieri, Leana Golubchik | SC-Share: Performance Driven Resource Sharing Markets for the Small
Cloud | To be published in ICDCS 2017 | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Small-scale clouds (SCs) often suffer from resource under-provisioning during
peak demand, leading to inability to satisfy service level agreements (SLAs)
and consequent loss of customers. One approach to address this problem is for a
set of autonomous SCs to share resources among themselves in a cost-induced
coopera... | [
{
"created": "Thu, 30 Mar 2017 05:28:36 GMT",
"version": "v1"
},
{
"created": "Mon, 7 Aug 2017 00:04:21 GMT",
"version": "v2"
}
] | 2017-08-08 | [
[
"Lin",
"Sung-Han",
""
],
[
"Pal",
"Ranjan",
""
],
[
"Paolieri",
"Marco",
""
],
[
"Golubchik",
"Leana",
""
]
] | Small-scale clouds (SCs) often suffer from resource under-provisioning during peak demand, leading to inability to satisfy service level agreements (SLAs) and consequent loss of customers. One approach to address this problem is for a set of autonomous SCs to share resources among themselves in a cost-induced cooperati... |
2303.13137 | Liping Yi | Liping Yi, Gang Wang, Xiaoguang Liu, Zhuan Shi, Han Yu | FedGH: Heterogeneous Federated Learning with Generalized Global Header | 11 pages, 5 figures,accepted by Proceedings of the 31st ACM
International Conference on Multimedia (MM 2023) | null | null | null | cs.LG cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Federated learning (FL) is an emerging machine learning paradigm that allows
multiple parties to train a shared model collaboratively in a
privacy-preserving manner. Existing horizontal FL methods generally assume that
the FL server and clients hold the same model structure. However, due to system
heterogeneity and t... | [
{
"created": "Thu, 23 Mar 2023 09:38:52 GMT",
"version": "v1"
},
{
"created": "Tue, 1 Aug 2023 16:30:48 GMT",
"version": "v2"
}
] | 2023-08-02 | [
[
"Yi",
"Liping",
""
],
[
"Wang",
"Gang",
""
],
[
"Liu",
"Xiaoguang",
""
],
[
"Shi",
"Zhuan",
""
],
[
"Yu",
"Han",
""
]
] | Federated learning (FL) is an emerging machine learning paradigm that allows multiple parties to train a shared model collaboratively in a privacy-preserving manner. Existing horizontal FL methods generally assume that the FL server and clients hold the same model structure. However, due to system heterogeneity and the... |
2211.08681 | Atsuro Okazawa | Atsuro Okazawa | Interclass Prototype Relation for Few-Shot Segmentation | Accepted to ECCV2022 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Traditional semantic segmentation requires a large labeled image dataset and
can only be predicted within predefined classes. To solve this problem,
few-shot segmentation, which requires only a handful of annotations for the new
target class, is important. However, with few-shot segmentation, the target
class data di... | [
{
"created": "Wed, 16 Nov 2022 05:27:52 GMT",
"version": "v1"
}
] | 2022-11-17 | [
[
"Okazawa",
"Atsuro",
""
]
] | Traditional semantic segmentation requires a large labeled image dataset and can only be predicted within predefined classes. To solve this problem, few-shot segmentation, which requires only a handful of annotations for the new target class, is important. However, with few-shot segmentation, the target class data dist... |
2407.05210 | Rendani Mbuvha | Rendani Mbuvha, Yassine Yaakoubi, John Bagiliko, Santiago Hincapie
Potes, Amal Nammouchi, Sabrina Amrouche | Leveraging AI for Climate Resilience in Africa: Challenges,
Opportunities, and the Need for Collaboration | null | null | null | null | cs.CY cs.AI stat.AP | http://creativecommons.org/licenses/by/4.0/ | As climate change issues become more pressing, their impact in Africa calls
for urgent, innovative solutions tailored to the continent's unique challenges.
While Artificial Intelligence (AI) emerges as a critical and valuable tool for
climate change adaptation and mitigation, its effectiveness and potential are
conti... | [
{
"created": "Wed, 24 Apr 2024 14:05:22 GMT",
"version": "v1"
}
] | 2024-07-09 | [
[
"Mbuvha",
"Rendani",
""
],
[
"Yaakoubi",
"Yassine",
""
],
[
"Bagiliko",
"John",
""
],
[
"Potes",
"Santiago Hincapie",
""
],
[
"Nammouchi",
"Amal",
""
],
[
"Amrouche",
"Sabrina",
""
]
] | As climate change issues become more pressing, their impact in Africa calls for urgent, innovative solutions tailored to the continent's unique challenges. While Artificial Intelligence (AI) emerges as a critical and valuable tool for climate change adaptation and mitigation, its effectiveness and potential are conting... |
2406.01609 | Akshat Mohan Dasula Mr | Akshat Mohan Dasula, Hrushitha Tigulla, Preethika Bhukya | Judgement Citation Retrieval using Contextual Similarity | 14 pages, 16 images | null | null | null | cs.IR cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | Traditionally in the domain of legal research, the retrieval of pertinent
citations from intricate case descriptions has demanded manual effort and
keyword-based search applications that mandate expertise in understanding legal
jargon. Legal case descriptions hold pivotal information for legal
professionals and resea... | [
{
"created": "Tue, 28 May 2024 04:22:28 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Aug 2024 06:11:27 GMT",
"version": "v2"
}
] | 2024-08-16 | [
[
"Dasula",
"Akshat Mohan",
""
],
[
"Tigulla",
"Hrushitha",
""
],
[
"Bhukya",
"Preethika",
""
]
] | Traditionally in the domain of legal research, the retrieval of pertinent citations from intricate case descriptions has demanded manual effort and keyword-based search applications that mandate expertise in understanding legal jargon. Legal case descriptions hold pivotal information for legal professionals and researc... |
1908.08216 | Sanath Narayan | Sanath Narayan, Hisham Cholakkal, Fahad Shahbaz Khan, Ling Shao | 3C-Net: Category Count and Center Loss for Weakly-Supervised Action
Localization | To appear in ICCV 2019 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Temporal action localization is a challenging computer vision problem with
numerous real-world applications. Most existing methods require laborious
frame-level supervision to train action localization models. In this work, we
propose a framework, called 3C-Net, which only requires video-level supervision
(weak super... | [
{
"created": "Thu, 22 Aug 2019 06:20:38 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Nov 2019 12:28:41 GMT",
"version": "v2"
}
] | 2019-11-19 | [
[
"Narayan",
"Sanath",
""
],
[
"Cholakkal",
"Hisham",
""
],
[
"Khan",
"Fahad Shahbaz",
""
],
[
"Shao",
"Ling",
""
]
] | Temporal action localization is a challenging computer vision problem with numerous real-world applications. Most existing methods require laborious frame-level supervision to train action localization models. In this work, we propose a framework, called 3C-Net, which only requires video-level supervision (weak supervi... |
2309.04381 | Fredrik Hellstr\"om | Fredrik Hellstr\"om, Giuseppe Durisi, Benjamin Guedj, Maxim Raginsky | Generalization Bounds: Perspectives from Information Theory and
PAC-Bayes | 228 pages | null | null | null | cs.LG cs.AI cs.IT math.IT math.ST stat.ML stat.TH | http://creativecommons.org/licenses/by-nc-sa/4.0/ | A fundamental question in theoretical machine learning is generalization.
Over the past decades, the PAC-Bayesian approach has been established as a
flexible framework to address the generalization capabilities of machine
learning algorithms, and design new ones. Recently, it has garnered increased
interest due to it... | [
{
"created": "Fri, 8 Sep 2023 15:23:40 GMT",
"version": "v1"
},
{
"created": "Wed, 27 Mar 2024 17:07:47 GMT",
"version": "v2"
}
] | 2024-03-28 | [
[
"Hellström",
"Fredrik",
""
],
[
"Durisi",
"Giuseppe",
""
],
[
"Guedj",
"Benjamin",
""
],
[
"Raginsky",
"Maxim",
""
]
] | A fundamental question in theoretical machine learning is generalization. Over the past decades, the PAC-Bayesian approach has been established as a flexible framework to address the generalization capabilities of machine learning algorithms, and design new ones. Recently, it has garnered increased interest due to its ... |
1504.03385 | Chen-Yu Lee | Chen-Yu Lee, Deng-Jyi Chen | A Content Creation and Protection Scheme for Medical Images | 15 pages, submitted | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Medical images contain metadata information on where, when, and how an image
was acquired, and the majority of this information is stored as pixel data.
Image feature descriptions are often captured only as free text stored in the
image file or in the hospital information system. Correlations between the free
text an... | [
{
"created": "Mon, 13 Apr 2015 22:43:45 GMT",
"version": "v1"
}
] | 2015-04-15 | [
[
"Lee",
"Chen-Yu",
""
],
[
"Chen",
"Deng-Jyi",
""
]
] | Medical images contain metadata information on where, when, and how an image was acquired, and the majority of this information is stored as pixel data. Image feature descriptions are often captured only as free text stored in the image file or in the hospital information system. Correlations between the free text and ... |
2405.19209 | Ziyang Wang | Ziyang Wang, Shoubin Yu, Elias Stengel-Eskin, Jaehong Yoon, Feng
Cheng, Gedas Bertasius, Mohit Bansal | VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on
Long Videos | 20 pages, first three authors contributed equally; Project page:
https://videotree2024.github.io/ | null | null | null | cs.CV cs.AI cs.CL | http://creativecommons.org/licenses/by/4.0/ | Video-language understanding tasks have focused on short video clips, often
struggling with long-form video understanding tasks. Recently, many long
video-language understanding approaches have leveraged the reasoning
capabilities of Large Language Models (LLMs) to perform long video QA,
transforming videos into dens... | [
{
"created": "Wed, 29 May 2024 15:49:09 GMT",
"version": "v1"
}
] | 2024-05-30 | [
[
"Wang",
"Ziyang",
""
],
[
"Yu",
"Shoubin",
""
],
[
"Stengel-Eskin",
"Elias",
""
],
[
"Yoon",
"Jaehong",
""
],
[
"Cheng",
"Feng",
""
],
[
"Bertasius",
"Gedas",
""
],
[
"Bansal",
"Mohit",
""
]
] | Video-language understanding tasks have focused on short video clips, often struggling with long-form video understanding tasks. Recently, many long video-language understanding approaches have leveraged the reasoning capabilities of Large Language Models (LLMs) to perform long video QA, transforming videos into densel... |
1503.04918 | EPTCS | Marcin Benke, Viviana Bono, Aleksy Schubert | Lucretia - intersection type polymorphism for scripting languages | In Proceedings ITRS 2014, arXiv:1503.04377 | EPTCS 177, 2015, pp. 65-78 | 10.4204/EPTCS.177.6 | null | cs.LO cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Scripting code may present maintenance problems in the long run. There is,
then, the call for methodologies that make it possible to control the
properties of programs written in dynamic languages in an automatic fashion. We
introduce Lucretia, a core language with an introspection primitive. Lucretia
is equipped wit... | [
{
"created": "Tue, 17 Mar 2015 04:03:54 GMT",
"version": "v1"
}
] | 2015-03-18 | [
[
"Benke",
"Marcin",
""
],
[
"Bono",
"Viviana",
""
],
[
"Schubert",
"Aleksy",
""
]
] | Scripting code may present maintenance problems in the long run. There is, then, the call for methodologies that make it possible to control the properties of programs written in dynamic languages in an automatic fashion. We introduce Lucretia, a core language with an introspection primitive. Lucretia is equipped with ... |
1911.12327 | Charalambos Poullis | Yashas Joshi, Charalambos Poullis | Inattentional Blindness for Redirected Walking Using Dynamic Foveated
Rendering | null | null | null | null | cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Redirected walking is a Virtual Reality(VR) locomotion technique which
enables users to navigate virtual environments (VEs) that are spatially larger
than the available physical tracked space. In this work we present a novel
technique for redirected walking in VR based on the psychological phenomenon of
inattentional... | [
{
"created": "Wed, 27 Nov 2019 18:08:21 GMT",
"version": "v1"
}
] | 2019-11-28 | [
[
"Joshi",
"Yashas",
""
],
[
"Poullis",
"Charalambos",
""
]
] | Redirected walking is a Virtual Reality(VR) locomotion technique which enables users to navigate virtual environments (VEs) that are spatially larger than the available physical tracked space. In this work we present a novel technique for redirected walking in VR based on the psychological phenomenon of inattentional b... |
2407.14086 | Yunfei Zhang | Yunfei Zhang, Chao Liang, Jin Gao, Zhipeng Zhang, Weiming Hu, Stephen
Maybank, Xue Zhou, Liang Li | Temporal Correlation Meets Embedding: Towards a 2nd Generation of
JDE-based Real-Time Multi-Object Tracking | A submission to IJCV | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Joint Detection and Embedding (JDE) trackers have demonstrated excellent
performance in Multi-Object Tracking (MOT) tasks by incorporating the
extraction of appearance features as auxiliary tasks through embedding
Re-Identification task (ReID) into the detector, achieving a balance between
inference speed and trackin... | [
{
"created": "Fri, 19 Jul 2024 07:48:45 GMT",
"version": "v1"
},
{
"created": "Tue, 6 Aug 2024 09:56:36 GMT",
"version": "v2"
}
] | 2024-08-07 | [
[
"Zhang",
"Yunfei",
""
],
[
"Liang",
"Chao",
""
],
[
"Gao",
"Jin",
""
],
[
"Zhang",
"Zhipeng",
""
],
[
"Hu",
"Weiming",
""
],
[
"Maybank",
"Stephen",
""
],
[
"Zhou",
"Xue",
""
],
[
"Li",
"Liang",... | Joint Detection and Embedding (JDE) trackers have demonstrated excellent performance in Multi-Object Tracking (MOT) tasks by incorporating the extraction of appearance features as auxiliary tasks through embedding Re-Identification task (ReID) into the detector, achieving a balance between inference speed and tracking ... |
1803.05747 | Hongfei Fan | Hongfei Fan, Lin Ding, Xiaodong Xie, Huizhu Jia, Wen Gao | Joint Rate Allocation with Both Look-ahead And Feedback Model For High
Efficiency Video Coding | null | null | null | null | cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The objective of joint rate allocation among multiple coded video streams is
to share the bandwidth to meet the demands of minimum average distortion
(minAVE) or minimum distortion variance (minVAR). In previous works on minVAR
problems, bits are directly assigned in proportion to their complexity measures
and we cal... | [
{
"created": "Thu, 15 Mar 2018 13:50:04 GMT",
"version": "v1"
}
] | 2018-03-16 | [
[
"Fan",
"Hongfei",
""
],
[
"Ding",
"Lin",
""
],
[
"Xie",
"Xiaodong",
""
],
[
"Jia",
"Huizhu",
""
],
[
"Gao",
"Wen",
""
]
] | The objective of joint rate allocation among multiple coded video streams is to share the bandwidth to meet the demands of minimum average distortion (minAVE) or minimum distortion variance (minVAR). In previous works on minVAR problems, bits are directly assigned in proportion to their complexity measures and we call ... |
1908.10717 | Tao Zhuo | Tao Zhuo, Zhiyong Cheng, Mohan Kankanhalli | Fast Video Object Segmentation via Mask Transfer Network | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Accuracy and processing speed are two important factors that affect the use
of video object segmentation (VOS) in real applications. With the advanced
techniques of deep neural networks, the accuracy has been significantly
improved, however, the speed is still far below the real-time needs because of
the complicated ... | [
{
"created": "Wed, 28 Aug 2019 13:31:34 GMT",
"version": "v1"
}
] | 2019-08-29 | [
[
"Zhuo",
"Tao",
""
],
[
"Cheng",
"Zhiyong",
""
],
[
"Kankanhalli",
"Mohan",
""
]
] | Accuracy and processing speed are two important factors that affect the use of video object segmentation (VOS) in real applications. With the advanced techniques of deep neural networks, the accuracy has been significantly improved, however, the speed is still far below the real-time needs because of the complicated ne... |
2208.10833 | Hongcheng Guo | Hongcheng Guo, Yuhui Guo, Renjie Chen, Jian Yang, Jiaheng Liu, Zhoujun
Li, Tieqiao Zheng, Weichao Hou, Liangfan Zheng, Bo Zhang | LogLG: Weakly Supervised Log Anomaly Detection via Log-Event Graph
Construction | 12 pages | null | null | null | cs.SE cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Fully supervised log anomaly detection methods suffer the heavy burden of
annotating massive unlabeled log data. Recently, many semi-supervised methods
have been proposed to reduce annotation costs with the help of parsed
templates. However, these methods consider each keyword independently, which
disregards the corr... | [
{
"created": "Tue, 23 Aug 2022 09:32:19 GMT",
"version": "v1"
},
{
"created": "Thu, 25 Aug 2022 06:42:18 GMT",
"version": "v2"
},
{
"created": "Tue, 6 Sep 2022 02:36:58 GMT",
"version": "v3"
},
{
"created": "Thu, 2 Feb 2023 09:17:52 GMT",
"version": "v4"
},
{
"cre... | 2023-04-12 | [
[
"Guo",
"Hongcheng",
""
],
[
"Guo",
"Yuhui",
""
],
[
"Chen",
"Renjie",
""
],
[
"Yang",
"Jian",
""
],
[
"Liu",
"Jiaheng",
""
],
[
"Li",
"Zhoujun",
""
],
[
"Zheng",
"Tieqiao",
""
],
[
"Hou",
"Weich... | Fully supervised log anomaly detection methods suffer the heavy burden of annotating massive unlabeled log data. Recently, many semi-supervised methods have been proposed to reduce annotation costs with the help of parsed templates. However, these methods consider each keyword independently, which disregards the correl... |
2204.03082 | Zudi Lin | Leander Lauenburg, Zudi Lin, Ruihan Zhang, M\'arcia dos Santos, Siyu
Huang, Ignacio Arganda-Carreras, Edward S. Boyden, Hanspeter Pfister, Donglai
Wei | Instance Segmentation of Unlabeled Modalities via Cyclic Segmentation
GAN | 13 pages with appendix | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Instance segmentation for unlabeled imaging modalities is a challenging but
essential task as collecting expert annotation can be expensive and
time-consuming. Existing works segment a new modality by either deploying a
pre-trained model optimized on diverse training data or conducting domain
translation and image se... | [
{
"created": "Wed, 6 Apr 2022 20:46:39 GMT",
"version": "v1"
}
] | 2022-04-08 | [
[
"Lauenburg",
"Leander",
""
],
[
"Lin",
"Zudi",
""
],
[
"Zhang",
"Ruihan",
""
],
[
"Santos",
"Márcia dos",
""
],
[
"Huang",
"Siyu",
""
],
[
"Arganda-Carreras",
"Ignacio",
""
],
[
"Boyden",
"Edward S.",
""
... | Instance segmentation for unlabeled imaging modalities is a challenging but essential task as collecting expert annotation can be expensive and time-consuming. Existing works segment a new modality by either deploying a pre-trained model optimized on diverse training data or conducting domain translation and image segm... |
2308.15726 | Fei Yu | Nan Che and Chenrui Liu and Fei Yu | AGS: An Dataset and Taxonomy for Domestic Scene Sound Event Recognition | null | null | null | null | cs.SD cs.AI eess.AS | http://creativecommons.org/licenses/by/4.0/ | Environmental sound scene and sound event recognition is important for the
recognition of suspicious events in indoor and outdoor environments (such as
nurseries, smart homes, nursing homes, etc.) and is a fundamental task involved
in many audio surveillance applications. In particular, there is no public
common data... | [
{
"created": "Wed, 30 Aug 2023 03:03:47 GMT",
"version": "v1"
}
] | 2023-08-31 | [
[
"Che",
"Nan",
""
],
[
"Liu",
"Chenrui",
""
],
[
"Yu",
"Fei",
""
]
] | Environmental sound scene and sound event recognition is important for the recognition of suspicious events in indoor and outdoor environments (such as nurseries, smart homes, nursing homes, etc.) and is a fundamental task involved in many audio surveillance applications. In particular, there is no public common data s... |
2405.05386 | Andreas Madsen | Andreas Madsen, Himabindu Lakkaraju, Siva Reddy, Sarath Chandar | Interpretability Needs a New Paradigm | null | null | null | null | cs.LG cs.CL cs.CV stat.ML | http://creativecommons.org/licenses/by-sa/4.0/ | Interpretability is the study of explaining models in understandable terms to
humans. At present, interpretability is divided into two paradigms: the
intrinsic paradigm, which believes that only models designed to be explained
can be explained, and the post-hoc paradigm, which believes that black-box
models can be ex... | [
{
"created": "Wed, 8 May 2024 19:31:06 GMT",
"version": "v1"
}
] | 2024-05-10 | [
[
"Madsen",
"Andreas",
""
],
[
"Lakkaraju",
"Himabindu",
""
],
[
"Reddy",
"Siva",
""
],
[
"Chandar",
"Sarath",
""
]
] | Interpretability is the study of explaining models in understandable terms to humans. At present, interpretability is divided into two paradigms: the intrinsic paradigm, which believes that only models designed to be explained can be explained, and the post-hoc paradigm, which believes that black-box models can be expl... |
2312.04362 | Hamed Hematian Hemati | Hamed Hematian Hemati, Atousa Toghyani, Atena Souri, Sayed Hesam
Alavian, Hossein Sameti, Hamid Beigy | PCoQA: Persian Conversational Question Answering Dataset | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Humans seek information regarding a specific topic through performing a
conversation containing a series of questions and answers. In the pursuit of
conversational question answering research, we introduce the PCoQA, the first
\textbf{P}ersian \textbf{Co}nversational \textbf{Q}uestion \textbf{A}nswering
dataset, a re... | [
{
"created": "Thu, 7 Dec 2023 15:29:34 GMT",
"version": "v1"
}
] | 2023-12-08 | [
[
"Hemati",
"Hamed Hematian",
""
],
[
"Toghyani",
"Atousa",
""
],
[
"Souri",
"Atena",
""
],
[
"Alavian",
"Sayed Hesam",
""
],
[
"Sameti",
"Hossein",
""
],
[
"Beigy",
"Hamid",
""
]
] | Humans seek information regarding a specific topic through performing a conversation containing a series of questions and answers. In the pursuit of conversational question answering research, we introduce the PCoQA, the first \textbf{P}ersian \textbf{Co}nversational \textbf{Q}uestion \textbf{A}nswering dataset, a reso... |
1807.01544 | Shangbang Long | Shangbang Long, Jiaqiang Ruan, Wenjie Zhang, Xin He, Wenhao Wu, Cong
Yao | TextSnake: A Flexible Representation for Detecting Text of Arbitrary
Shapes | 17 pages, accepted to ECCV2018 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Driven by deep neural networks and large scale datasets, scene text detection
methods have progressed substantially over the past years, continuously
refreshing the performance records on various standard benchmarks. However,
limited by the representations (axis-aligned rectangles, rotated rectangles or
quadrangles) ... | [
{
"created": "Wed, 4 Jul 2018 12:37:07 GMT",
"version": "v1"
},
{
"created": "Tue, 18 Aug 2020 00:54:35 GMT",
"version": "v2"
}
] | 2020-08-19 | [
[
"Long",
"Shangbang",
""
],
[
"Ruan",
"Jiaqiang",
""
],
[
"Zhang",
"Wenjie",
""
],
[
"He",
"Xin",
""
],
[
"Wu",
"Wenhao",
""
],
[
"Yao",
"Cong",
""
]
] | Driven by deep neural networks and large scale datasets, scene text detection methods have progressed substantially over the past years, continuously refreshing the performance records on various standard benchmarks. However, limited by the representations (axis-aligned rectangles, rotated rectangles or quadrangles) ad... |
cs/0512105 | Valmir Barbosa | Alexandre O. Stauffer, Valmir C. Barbosa | A study of the edge-switching Markov-chain method for the generation of
random graphs | Minor typos corrected | null | null | null | cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of generating connected random graphs with no self-loops
or multiple edges and that, in addition, have a given degree sequence. The
generation method we focus on is the edge-switching Markov-chain method, whose
functioning depends on a parameter w related to the method's core operation of
an edge... | [
{
"created": "Thu, 29 Dec 2005 18:37:01 GMT",
"version": "v1"
},
{
"created": "Thu, 30 Jun 2011 18:52:12 GMT",
"version": "v2"
}
] | 2011-07-01 | [
[
"Stauffer",
"Alexandre O.",
""
],
[
"Barbosa",
"Valmir C.",
""
]
] | We study the problem of generating connected random graphs with no self-loops or multiple edges and that, in addition, have a given degree sequence. The generation method we focus on is the edge-switching Markov-chain method, whose functioning depends on a parameter w related to the method's core operation of an edge s... |
2207.05643 | Koorosh Aslansefat | Koorosh Aslansefat, Panagiota Nikolaou, Martin Walker, Mohammed Naveed
Akram, Ioannis Sorokos, Jan Reich, Panayiotis Kolios, Maria K. Michael,
Theocharis Theocharides, Georgios Ellinas, Daniel Schneider, Yiannis
Papadopoulos | SafeDrones: Real-Time Reliability Evaluation of UAVs using Executable
Digital Dependable Identities | null | null | null | null | cs.RO cs.SY eess.SY | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The use of Unmanned Arial Vehicles (UAVs) offers many advantages across a
variety of applications. However, safety assurance is a key barrier to
widespread usage, especially given the unpredictable operational and
environmental factors experienced by UAVs, which are hard to capture solely at
design-time. This paper p... | [
{
"created": "Tue, 12 Jul 2022 16:19:03 GMT",
"version": "v1"
}
] | 2022-07-13 | [
[
"Aslansefat",
"Koorosh",
""
],
[
"Nikolaou",
"Panagiota",
""
],
[
"Walker",
"Martin",
""
],
[
"Akram",
"Mohammed Naveed",
""
],
[
"Sorokos",
"Ioannis",
""
],
[
"Reich",
"Jan",
""
],
[
"Kolios",
"Panayiotis",
... | The use of Unmanned Arial Vehicles (UAVs) offers many advantages across a variety of applications. However, safety assurance is a key barrier to widespread usage, especially given the unpredictable operational and environmental factors experienced by UAVs, which are hard to capture solely at design-time. This paper pro... |
2008.00962 | Lucas Tabelini Torres | Lucas Tabelini, Rodrigo Berriel, Thiago M. Paix\~ao, Alberto F. De
Souza, Claudine Badue, Nicu Sebe and Thiago Oliveira-Santos | Deep Traffic Sign Detection and Recognition Without Target Domain Real
Images | arXiv admin note: text overlap with arXiv:1907.09679 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep learning has been successfully applied to several problems related to
autonomous driving, often relying on large databases of real target-domain
images for proper training. The acquisition of such real-world data is not
always possible in the self-driving context, and sometimes their annotation is
not feasible. ... | [
{
"created": "Thu, 30 Jul 2020 21:06:47 GMT",
"version": "v1"
}
] | 2020-08-04 | [
[
"Tabelini",
"Lucas",
""
],
[
"Berriel",
"Rodrigo",
""
],
[
"Paixão",
"Thiago M.",
""
],
[
"De Souza",
"Alberto F.",
""
],
[
"Badue",
"Claudine",
""
],
[
"Sebe",
"Nicu",
""
],
[
"Oliveira-Santos",
"Thiago",
... | Deep learning has been successfully applied to several problems related to autonomous driving, often relying on large databases of real target-domain images for proper training. The acquisition of such real-world data is not always possible in the self-driving context, and sometimes their annotation is not feasible. Mo... |
2004.08145 | Zhiwei Gao | Zhiwei Gao, Shuntaro Yada, Shoko Wakamiya and Eiji Aramaki | NAIST COVID: Multilingual COVID-19 Twitter and Weibo Dataset | null | null | null | null | cs.SI cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Since the outbreak of coronavirus disease 2019 (COVID-19) in the late 2019,
it has affected over 200 countries and billions of people worldwide. This has
affected the social life of people owing to enforcements, such as "social
distancing" and "stay at home." This has resulted in an increasing interaction
through soc... | [
{
"created": "Fri, 17 Apr 2020 09:48:14 GMT",
"version": "v1"
}
] | 2020-04-20 | [
[
"Gao",
"Zhiwei",
""
],
[
"Yada",
"Shuntaro",
""
],
[
"Wakamiya",
"Shoko",
""
],
[
"Aramaki",
"Eiji",
""
]
] | Since the outbreak of coronavirus disease 2019 (COVID-19) in the late 2019, it has affected over 200 countries and billions of people worldwide. This has affected the social life of people owing to enforcements, such as "social distancing" and "stay at home." This has resulted in an increasing interaction through socia... |
2408.04870 | Mulong Luo | Ayush RoyChowdhury, Mulong Luo, Prateek Sahu, Sarbartha Banerjee,
Mohit Tiwari | ConfusedPilot: Confused Deputy Risks in RAG-based LLMs | null | null | null | null | cs.CR cs.AI | http://creativecommons.org/licenses/by/4.0/ | Retrieval augmented generation (RAG) is a process where a large language
model (LLM) retrieves useful information from a database and then generates the
responses. It is becoming popular in enterprise settings for daily business
operations. For example, Copilot for Microsoft 365 has accumulated millions of
businesses... | [
{
"created": "Fri, 9 Aug 2024 05:20:05 GMT",
"version": "v1"
},
{
"created": "Tue, 13 Aug 2024 22:51:30 GMT",
"version": "v2"
},
{
"created": "Thu, 15 Aug 2024 05:24:19 GMT",
"version": "v3"
}
] | 2024-08-16 | [
[
"RoyChowdhury",
"Ayush",
""
],
[
"Luo",
"Mulong",
""
],
[
"Sahu",
"Prateek",
""
],
[
"Banerjee",
"Sarbartha",
""
],
[
"Tiwari",
"Mohit",
""
]
] | Retrieval augmented generation (RAG) is a process where a large language model (LLM) retrieves useful information from a database and then generates the responses. It is becoming popular in enterprise settings for daily business operations. For example, Copilot for Microsoft 365 has accumulated millions of businesses. ... |
2109.10431 | Hao Wang | Haewon Jeong, Hao Wang, Flavio P. Calmon | Fairness without Imputation: A Decision Tree Approach for Fair
Prediction with Missing Values | null | null | null | null | cs.LG cs.CY cs.IT math.IT stat.ML | http://creativecommons.org/licenses/by/4.0/ | We investigate the fairness concerns of training a machine learning model
using data with missing values. Even though there are a number of fairness
intervention methods in the literature, most of them require a complete
training set as input. In practice, data can have missing values, and data
missing patterns can d... | [
{
"created": "Tue, 21 Sep 2021 20:46:22 GMT",
"version": "v1"
},
{
"created": "Thu, 14 Apr 2022 02:13:34 GMT",
"version": "v2"
}
] | 2022-04-15 | [
[
"Jeong",
"Haewon",
""
],
[
"Wang",
"Hao",
""
],
[
"Calmon",
"Flavio P.",
""
]
] | We investigate the fairness concerns of training a machine learning model using data with missing values. Even though there are a number of fairness intervention methods in the literature, most of them require a complete training set as input. In practice, data can have missing values, and data missing patterns can dep... |
2312.02963 | Zhangyang Xiong | Zhangyang Xiong, Chenghong Li, Kenkun Liu, Hongjie Liao, Jianqiao Hu,
Junyi Zhu, Shuliang Ning, Lingteng Qiu, Chongjie Wang, Shijie Wang, Shuguang
Cui and Xiaoguang Han | MVHumanNet: A Large-scale Dataset of Multi-view Daily Dressing Human
Captures | Project page: https://x-zhangyang.github.io/MVHumanNet/ | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this era, the success of large language models and text-to-image models
can be attributed to the driving force of large-scale datasets. However, in the
realm of 3D vision, while remarkable progress has been made with models trained
on large-scale synthetic and real-captured object data like Objaverse and
MVImgNet,... | [
{
"created": "Tue, 5 Dec 2023 18:50:12 GMT",
"version": "v1"
}
] | 2023-12-06 | [
[
"Xiong",
"Zhangyang",
""
],
[
"Li",
"Chenghong",
""
],
[
"Liu",
"Kenkun",
""
],
[
"Liao",
"Hongjie",
""
],
[
"Hu",
"Jianqiao",
""
],
[
"Zhu",
"Junyi",
""
],
[
"Ning",
"Shuliang",
""
],
[
"Qiu",
... | In this era, the success of large language models and text-to-image models can be attributed to the driving force of large-scale datasets. However, in the realm of 3D vision, while remarkable progress has been made with models trained on large-scale synthetic and real-captured object data like Objaverse and MVImgNet, a... |
2212.07612 | Kai Huang | Kai Huang, Haibo Hu, Qingqing Ye, Kai Tian, Bolong Zheng, Xiaofang
Zhou | TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph
Database | This paper is accepted by SIGMOD 2023 | null | null | null | cs.DB | http://creativecommons.org/licenses/by/4.0/ | With an exponentially growing number of graphs from disparate repositories,
there is a strong need to analyze a graph database containing an extensive
collection of small- or medium-sized data graphs (e.g., chemical compounds).
Although subgraph enumeration and subgraph mining have been proposed to bring
insights int... | [
{
"created": "Thu, 15 Dec 2022 04:27:29 GMT",
"version": "v1"
}
] | 2022-12-16 | [
[
"Huang",
"Kai",
""
],
[
"Hu",
"Haibo",
""
],
[
"Ye",
"Qingqing",
""
],
[
"Tian",
"Kai",
""
],
[
"Zheng",
"Bolong",
""
],
[
"Zhou",
"Xiaofang",
""
]
] | With an exponentially growing number of graphs from disparate repositories, there is a strong need to analyze a graph database containing an extensive collection of small- or medium-sized data graphs (e.g., chemical compounds). Although subgraph enumeration and subgraph mining have been proposed to bring insights into ... |
1511.00148 | Indre Zliobaite | Indre Zliobaite | A survey on measuring indirect discrimination in machine learning | null | null | null | null | cs.CY stat.AP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Nowadays, many decisions are made using predictive models built on historical
data.Predictive models may systematically discriminate groups of people even if
the computing process is fair and well-intentioned. Discrimination-aware data
mining studies how to make predictive models free from discrimination, when
histor... | [
{
"created": "Sat, 31 Oct 2015 16:04:12 GMT",
"version": "v1"
}
] | 2015-11-23 | [
[
"Zliobaite",
"Indre",
""
]
] | Nowadays, many decisions are made using predictive models built on historical data.Predictive models may systematically discriminate groups of people even if the computing process is fair and well-intentioned. Discrimination-aware data mining studies how to make predictive models free from discrimination, when historic... |
2307.06983 | Hu Wei | Wei Hu, Xuhong Wang, Ding Wang, Shengyue Yao, Zuqiu Mao, Li Li,
Fei-Yue Wang, Yilun Lin | IR Design for Application-Specific Natural Language: A Case Study on
Traffic Data | null | null | null | null | cs.SE cs.AI cs.PL | http://creativecommons.org/licenses/by/4.0/ | In the realm of software applications in the transportation industry,
Domain-Specific Languages (DSLs) have enjoyed widespread adoption due to their
ease of use and various other benefits. With the ceaseless progress in computer
performance and the rapid development of large-scale models, the possibility of
programmi... | [
{
"created": "Thu, 13 Jul 2023 15:52:05 GMT",
"version": "v1"
}
] | 2023-07-17 | [
[
"Hu",
"Wei",
""
],
[
"Wang",
"Xuhong",
""
],
[
"Wang",
"Ding",
""
],
[
"Yao",
"Shengyue",
""
],
[
"Mao",
"Zuqiu",
""
],
[
"Li",
"Li",
""
],
[
"Wang",
"Fei-Yue",
""
],
[
"Lin",
"Yilun",
""
... | In the realm of software applications in the transportation industry, Domain-Specific Languages (DSLs) have enjoyed widespread adoption due to their ease of use and various other benefits. With the ceaseless progress in computer performance and the rapid development of large-scale models, the possibility of programming... |
2210.10765 | Fahim Tajwar | Annie Xie, Fahim Tajwar, Archit Sharma, Chelsea Finn | When to Ask for Help: Proactive Interventions in Autonomous
Reinforcement Learning | 36th Conference on Neural Information Processing Systems (NeurIPS
2022) | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A long-term goal of reinforcement learning is to design agents that can
autonomously interact and learn in the world. A critical challenge to such
autonomy is the presence of irreversible states which require external
assistance to recover from, such as when a robot arm has pushed an object off
of a table. While stan... | [
{
"created": "Wed, 19 Oct 2022 17:57:24 GMT",
"version": "v1"
}
] | 2022-10-20 | [
[
"Xie",
"Annie",
""
],
[
"Tajwar",
"Fahim",
""
],
[
"Sharma",
"Archit",
""
],
[
"Finn",
"Chelsea",
""
]
] | A long-term goal of reinforcement learning is to design agents that can autonomously interact and learn in the world. A critical challenge to such autonomy is the presence of irreversible states which require external assistance to recover from, such as when a robot arm has pushed an object off of a table. While standa... |
2002.04114 | Guan-An Wang | Guan-An Wang, Tianzhu Zhang. Yang Yang, Jian Cheng, Jianlong Chang, Xu
Liang, Zengguang Hou | Cross-Modality Paired-Images Generation for RGB-Infrared Person
Re-Identification | accepted by AAAI'20 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | RGB-Infrared (IR) person re-identification is very challenging due to the
large cross-modality variations between RGB and IR images. The key solution is
to learn aligned features to the bridge RGB and IR modalities. However, due to
the lack of correspondence labels between every pair of RGB and IR images, most
method... | [
{
"created": "Mon, 10 Feb 2020 22:15:19 GMT",
"version": "v1"
},
{
"created": "Tue, 18 Feb 2020 00:03:01 GMT",
"version": "v2"
}
] | 2020-02-19 | [
[
"Wang",
"Guan-An",
""
],
[
"Yang",
"Tianzhu Zhang. Yang",
""
],
[
"Cheng",
"Jian",
""
],
[
"Chang",
"Jianlong",
""
],
[
"Liang",
"Xu",
""
],
[
"Hou",
"Zengguang",
""
]
] | RGB-Infrared (IR) person re-identification is very challenging due to the large cross-modality variations between RGB and IR images. The key solution is to learn aligned features to the bridge RGB and IR modalities. However, due to the lack of correspondence labels between every pair of RGB and IR images, most methods ... |
2110.12884 | Boris van Breugel | Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der
Schaar | DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative
Networks | null | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | Machine learning models have been criticized for reflecting unfair biases in
the training data. Instead of solving for this by introducing fair learning
algorithms directly, we focus on generating fair synthetic data, such that any
downstream learner is fair. Generating fair synthetic data from unfair data -
while re... | [
{
"created": "Mon, 25 Oct 2021 12:39:56 GMT",
"version": "v1"
},
{
"created": "Thu, 4 Nov 2021 21:25:22 GMT",
"version": "v2"
}
] | 2021-11-08 | [
[
"van Breugel",
"Boris",
""
],
[
"Kyono",
"Trent",
""
],
[
"Berrevoets",
"Jeroen",
""
],
[
"van der Schaar",
"Mihaela",
""
]
] | Machine learning models have been criticized for reflecting unfair biases in the training data. Instead of solving for this by introducing fair learning algorithms directly, we focus on generating fair synthetic data, such that any downstream learner is fair. Generating fair synthetic data from unfair data - while rema... |
1603.01472 | Yinan Wang | Yinan Wang, Hakan Johansson, Hui Xu, and Jietao Diao | Minimax Design and Order Estimation of FIR Filters for Extending the
Bandwidth of ADCs | 4 pages, 3 figures, IEEE Int. Symp. Circuits Syst. (to appear),
Montreal, Canada, 2016 | null | 10.1109/ISCAS.2016.7539015 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The bandwidth of the sampling systems, especially for time-interleaved
analog-to-digital converters, needs to be extended along with the rapid
increase of the sampling rate. A digitally assisted technique becomes a
feasible approach to extend the analog bandwidth, as it is impractical to
implement the extension in an... | [
{
"created": "Fri, 4 Mar 2016 14:16:33 GMT",
"version": "v1"
}
] | 2016-11-18 | [
[
"Wang",
"Yinan",
""
],
[
"Johansson",
"Hakan",
""
],
[
"Xu",
"Hui",
""
],
[
"Diao",
"Jietao",
""
]
] | The bandwidth of the sampling systems, especially for time-interleaved analog-to-digital converters, needs to be extended along with the rapid increase of the sampling rate. A digitally assisted technique becomes a feasible approach to extend the analog bandwidth, as it is impractical to implement the extension in anal... |
2206.11668 | H\'ector Cadavid | H\'ector Cadavid, Vasilios Andrikopoulos, Paris Avgeriou | Documentation-as-code for Interface Control Document Management in
Systems of Systems: a Technical Action Research Study | Preprint of the paper accepted in the 16th European Conference on
Software Architecture (ECSA) | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The architecting of Systems of Systems (SoS), that is, of systems that emerge
from the cooperation of multiple independent constituent systems, is a topic of
increasing interest in both industry and academia. However, recent empirical
studies revealed what seems to be an overlooked aspect of the architecting of
SoS t... | [
{
"created": "Thu, 23 Jun 2022 12:47:47 GMT",
"version": "v1"
}
] | 2022-06-24 | [
[
"Cadavid",
"Héctor",
""
],
[
"Andrikopoulos",
"Vasilios",
""
],
[
"Avgeriou",
"Paris",
""
]
] | The architecting of Systems of Systems (SoS), that is, of systems that emerge from the cooperation of multiple independent constituent systems, is a topic of increasing interest in both industry and academia. However, recent empirical studies revealed what seems to be an overlooked aspect of the architecting of SoS tha... |
2306.00316 | Jia Li | Jia Li, Shiva Nejati, Mehrdad Sabetzadeh | Using Genetic Programming to Build Self-Adaptivity into Software-Defined
Networks | Accepted for publication by ACM Transactions on Autonomous and
Adaptive Systems (TAAS) (in Aug 2023). arXiv admin note: substantial text
overlap with arXiv:2205.04352 | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Self-adaptation solutions need to periodically monitor, reason about, and
adapt a running system. The adaptation step involves generating an adaptation
strategy and applying it to the running system whenever an anomaly arises. In
this article, we argue that, rather than generating individual adaptation
strategies, th... | [
{
"created": "Thu, 1 Jun 2023 03:30:33 GMT",
"version": "v1"
},
{
"created": "Tue, 15 Aug 2023 15:38:27 GMT",
"version": "v2"
}
] | 2023-08-16 | [
[
"Li",
"Jia",
""
],
[
"Nejati",
"Shiva",
""
],
[
"Sabetzadeh",
"Mehrdad",
""
]
] | Self-adaptation solutions need to periodically monitor, reason about, and adapt a running system. The adaptation step involves generating an adaptation strategy and applying it to the running system whenever an anomaly arises. In this article, we argue that, rather than generating individual adaptation strategies, the ... |
2403.17231 | Saad Abdul Ghani | Saad Abdul Ghani, Zizhao Wang, Peter Stone, Xuesu Xiao | Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from
Learned Hallucination | Submitted to International Conference on Intelligent Robots and
Systems (IROS) 2024 | null | null | null | cs.RO cs.LG | http://creativecommons.org/licenses/by/4.0/ | This paper presents a self-supervised learning method to safely learn a
motion planner for ground robots to navigate environments with dense and
dynamic obstacles. When facing highly-cluttered, fast-moving, hard-to-predict
obstacles, classical motion planners may not be able to keep up with limited
onboard computatio... | [
{
"created": "Mon, 25 Mar 2024 22:17:51 GMT",
"version": "v1"
}
] | 2024-03-27 | [
[
"Ghani",
"Saad Abdul",
""
],
[
"Wang",
"Zizhao",
""
],
[
"Stone",
"Peter",
""
],
[
"Xiao",
"Xuesu",
""
]
] | This paper presents a self-supervised learning method to safely learn a motion planner for ground robots to navigate environments with dense and dynamic obstacles. When facing highly-cluttered, fast-moving, hard-to-predict obstacles, classical motion planners may not be able to keep up with limited onboard computation.... |
1802.01021 | Jonathan Raiman | Jonathan Raiman and Olivier Raiman | DeepType: Multilingual Entity Linking by Neural Type System Evolution | Presented at AAAI 2018 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The wealth of structured (e.g. Wikidata) and unstructured data about the
world available today presents an incredible opportunity for tomorrow's
Artificial Intelligence. So far, integration of these two different modalities
is a difficult process, involving many decisions concerning how best to
represent the informat... | [
{
"created": "Sat, 3 Feb 2018 20:13:42 GMT",
"version": "v1"
}
] | 2018-02-06 | [
[
"Raiman",
"Jonathan",
""
],
[
"Raiman",
"Olivier",
""
]
] | The wealth of structured (e.g. Wikidata) and unstructured data about the world available today presents an incredible opportunity for tomorrow's Artificial Intelligence. So far, integration of these two different modalities is a difficult process, involving many decisions concerning how best to represent the informatio... |
2102.11395 | Ghani Lawal Mr. | Ghani O. Lawal and Michael Greenspan | Procam Calibration from a Single Pose of a Planar Target | 11 pages, 9 figures, 10 tables. Submitted to the VISAPP Conference.
Stored in the SciTepress Digital Library:
https://www.scitepress.org/PublicationsDetail.aspx?ID=rGG70YCQyOs=&t=1 | In Proceedings of the 16th International Joint Conference on
Computer Vision, Imaging and Computer Graphics Theory and Applications
(VISIGRAPP 2021) - Volume 5: VISAPP, pages 817-827 | 10.5220/0010327708170827 | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A novel user friendly method is proposed for calibrating a procam system from
a single pose of a planar chessboard target. The user simply needs to orient
the chessboard in a single appropriate pose. A sequence of Gray Code patterns
are projected onto the chessboard, which allows correspondences between the
camera, p... | [
{
"created": "Mon, 22 Feb 2021 22:53:29 GMT",
"version": "v1"
}
] | 2021-02-24 | [
[
"Lawal",
"Ghani O.",
""
],
[
"Greenspan",
"Michael",
""
]
] | A novel user friendly method is proposed for calibrating a procam system from a single pose of a planar chessboard target. The user simply needs to orient the chessboard in a single appropriate pose. A sequence of Gray Code patterns are projected onto the chessboard, which allows correspondences between the camera, pro... |
1807.09380 | Jue Wang | Jue Wang and Anoop Cherian | Contrastive Video Representation Learning via Adversarial Perturbations | Revised version of ECCV 2018 Paper: Learning Discriminative Video
Representations Using Adversarial Perturbations | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Adversarial perturbations are noise-like patterns that can subtly change the
data, while failing an otherwise accurate classifier. In this paper, we propose
to use such perturbations within a novel contrastive learning setup to build
negative samples, which are then used to produce improved video
representations. To ... | [
{
"created": "Tue, 24 Jul 2018 22:46:42 GMT",
"version": "v1"
},
{
"created": "Thu, 26 Jul 2018 13:46:24 GMT",
"version": "v2"
},
{
"created": "Thu, 16 Apr 2020 00:03:53 GMT",
"version": "v3"
}
] | 2020-04-17 | [
[
"Wang",
"Jue",
""
],
[
"Cherian",
"Anoop",
""
]
] | Adversarial perturbations are noise-like patterns that can subtly change the data, while failing an otherwise accurate classifier. In this paper, we propose to use such perturbations within a novel contrastive learning setup to build negative samples, which are then used to produce improved video representations. To th... |
2211.01812 | Hadi Hajieghrary | Sevag Tafnakaji and Hadi Hajieghrary and Quentin Teixeira and Yasemin
Bekiroglu | Benchmarking local motion planners for navigation of mobile manipulators | Accepted to be presented at 2023 IEEE/SICE International Symposium on
System Integration | null | null | null | cs.RO cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | There are various trajectory planners for mobile manipulators. It is often
challenging to compare their performance under similar circumstances due to
differences in hardware, dissimilarity of tasks and objectives, as well as
uncertainties in measurements and operating environments. In this paper, we
propose a simula... | [
{
"created": "Thu, 3 Nov 2022 13:45:55 GMT",
"version": "v1"
}
] | 2022-11-04 | [
[
"Tafnakaji",
"Sevag",
""
],
[
"Hajieghrary",
"Hadi",
""
],
[
"Teixeira",
"Quentin",
""
],
[
"Bekiroglu",
"Yasemin",
""
]
] | There are various trajectory planners for mobile manipulators. It is often challenging to compare their performance under similar circumstances due to differences in hardware, dissimilarity of tasks and objectives, as well as uncertainties in measurements and operating environments. In this paper, we propose a simulati... |
2205.09837 | Keming Lu | Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen | Summarization as Indirect Supervision for Relation Extraction | Accepted by EMNLP 2022 | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Relation extraction (RE) models have been challenged by their reliance on
training data with expensive annotations. Considering that summarization tasks
aim at acquiring concise expressions of synoptical information from the longer
context, these tasks naturally align with the objective of RE, i.e., extracting
a kind... | [
{
"created": "Thu, 19 May 2022 20:25:29 GMT",
"version": "v1"
},
{
"created": "Fri, 21 Oct 2022 04:31:52 GMT",
"version": "v2"
}
] | 2022-10-24 | [
[
"Lu",
"Keming",
""
],
[
"Hsu",
"I-Hung",
""
],
[
"Zhou",
"Wenxuan",
""
],
[
"Ma",
"Mingyu Derek",
""
],
[
"Chen",
"Muhao",
""
]
] | Relation extraction (RE) models have been challenged by their reliance on training data with expensive annotations. Considering that summarization tasks aim at acquiring concise expressions of synoptical information from the longer context, these tasks naturally align with the objective of RE, i.e., extracting a kind o... |
1201.1650 | Matthew Patitz | Sarah Cannon, Erik D. Demaine, Martin L. Demaine, Sarah Eisenstat,
Matthew J. Patitz, Robert Schweller, Scott M. Summers, Andrew Winslow | Two Hands Are Better Than One (up to constant factors) | null | null | null | null | cs.CC cs.CG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the difference between the standard seeded model of tile
self-assembly, and the "seedless" two-handed model of tile self-assembly. Most
of our results suggest that the two-handed model is more powerful. In
particular, we show how to simulate any seeded system with a two-handed system
that is essentially just... | [
{
"created": "Sun, 8 Jan 2012 18:51:32 GMT",
"version": "v1"
}
] | 2015-03-20 | [
[
"Cannon",
"Sarah",
""
],
[
"Demaine",
"Erik D.",
""
],
[
"Demaine",
"Martin L.",
""
],
[
"Eisenstat",
"Sarah",
""
],
[
"Patitz",
"Matthew J.",
""
],
[
"Schweller",
"Robert",
""
],
[
"Summers",
"Scott M.",
"... | We study the difference between the standard seeded model of tile self-assembly, and the "seedless" two-handed model of tile self-assembly. Most of our results suggest that the two-handed model is more powerful. In particular, we show how to simulate any seeded system with a two-handed system that is essentially just a... |
2011.10776 | Suping Wu | Lei Li, Suping Wu | DmifNet:3D Shape Reconstruction Based on Dynamic Multi-Branch
Information Fusion | ICPR 2020 (Oral) | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | 3D object reconstruction from a single-view image is a long-standing
challenging problem. Previous work was difficult to accurately reconstruct 3D
shapes with a complex topology which has rich details at the edges and corners.
Moreover, previous works used synthetic data to train their network, but domain
adaptation ... | [
{
"created": "Sat, 21 Nov 2020 11:31:27 GMT",
"version": "v1"
}
] | 2020-11-24 | [
[
"Li",
"Lei",
""
],
[
"Wu",
"Suping",
""
]
] | 3D object reconstruction from a single-view image is a long-standing challenging problem. Previous work was difficult to accurately reconstruct 3D shapes with a complex topology which has rich details at the edges and corners. Moreover, previous works used synthetic data to train their network, but domain adaptation pr... |
2210.16160 | Melissa Antonelli | Melissa Antonelli | Some Remarks on Counting Propositional Logic | joint work with Ugo Dal Lago and Paolo Pistone | null | null | null | cs.LO | http://creativecommons.org/licenses/by/4.0/ | Counting propositional logic was recently introduced in relation to
randomized computation and shown able to logically characterize the full
counting hierarchy. In this paper we aim to clarify the intuitive meaning and
expressive power of its univariate fragment. On the one hand, we provide an
effective procedure to ... | [
{
"created": "Fri, 28 Oct 2022 14:34:22 GMT",
"version": "v1"
},
{
"created": "Wed, 16 Nov 2022 17:14:33 GMT",
"version": "v2"
}
] | 2022-11-17 | [
[
"Antonelli",
"Melissa",
""
]
] | Counting propositional logic was recently introduced in relation to randomized computation and shown able to logically characterize the full counting hierarchy. In this paper we aim to clarify the intuitive meaning and expressive power of its univariate fragment. On the one hand, we provide an effective procedure to me... |
1808.02941 | Xiangyi Chen | Xiangyi Chen, Sijia Liu, Ruoyu Sun, Mingyi Hong | On the Convergence of A Class of Adam-Type Algorithms for Non-Convex
Optimization | null | null | null | null | cs.LG math.OC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper studies a class of adaptive gradient based momentum algorithms
that update the search directions and learning rates simultaneously using past
gradients. This class, which we refer to as the "Adam-type", includes the
popular algorithms such as the Adam, AMSGrad and AdaGrad. Despite their
popularity in train... | [
{
"created": "Wed, 8 Aug 2018 21:14:07 GMT",
"version": "v1"
},
{
"created": "Sun, 10 Mar 2019 00:48:35 GMT",
"version": "v2"
}
] | 2019-03-12 | [
[
"Chen",
"Xiangyi",
""
],
[
"Liu",
"Sijia",
""
],
[
"Sun",
"Ruoyu",
""
],
[
"Hong",
"Mingyi",
""
]
] | This paper studies a class of adaptive gradient based momentum algorithms that update the search directions and learning rates simultaneously using past gradients. This class, which we refer to as the "Adam-type", includes the popular algorithms such as the Adam, AMSGrad and AdaGrad. Despite their popularity in trainin... |
2405.15556 | Chong Xiang | Chong Xiang, Tong Wu, Zexuan Zhong, David Wagner, Danqi Chen, Prateek
Mittal | Certifiably Robust RAG against Retrieval Corruption | null | null | null | null | cs.LG cs.CL cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Retrieval-augmented generation (RAG) has been shown vulnerable to retrieval
corruption attacks: an attacker can inject malicious passages into retrieval
results to induce inaccurate responses. In this paper, we propose RobustRAG as
the first defense framework against retrieval corruption attacks. The key
insight of R... | [
{
"created": "Fri, 24 May 2024 13:44:25 GMT",
"version": "v1"
}
] | 2024-05-27 | [
[
"Xiang",
"Chong",
""
],
[
"Wu",
"Tong",
""
],
[
"Zhong",
"Zexuan",
""
],
[
"Wagner",
"David",
""
],
[
"Chen",
"Danqi",
""
],
[
"Mittal",
"Prateek",
""
]
] | Retrieval-augmented generation (RAG) has been shown vulnerable to retrieval corruption attacks: an attacker can inject malicious passages into retrieval results to induce inaccurate responses. In this paper, we propose RobustRAG as the first defense framework against retrieval corruption attacks. The key insight of Rob... |
2308.03299 | Aimen Gaba | Aimen Gaba, Zhanna Kaufman, Jason Chueng, Marie Shvakel, Kyle Wm.
Hall, Yuriy Brun, and Cindy Xiong Bearfield | My Model is Unfair, Do People Even Care? Visual Design Affects Trust and
Perceived Bias in Machine Learning | 11 pages, 6 figures, to appear in IEEE Transactions of Visualization
and Computer Graphics (Also in proceedings of IEEE VIS 2023) | IEEE TVCG 30(1):327-337 | 10.1109/TVCG.2023.3327192 | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Machine learning technology has become ubiquitous, but, unfortunately, often
exhibits bias. As a consequence, disparate stakeholders need to interact with
and make informed decisions about using machine learning models in everyday
systems. Visualization technology can support stakeholders in understanding and
evaluat... | [
{
"created": "Mon, 7 Aug 2023 05:01:39 GMT",
"version": "v1"
}
] | 2024-01-12 | [
[
"Gaba",
"Aimen",
""
],
[
"Kaufman",
"Zhanna",
""
],
[
"Chueng",
"Jason",
""
],
[
"Shvakel",
"Marie",
""
],
[
"Hall",
"Kyle Wm.",
""
],
[
"Brun",
"Yuriy",
""
],
[
"Bearfield",
"Cindy Xiong",
""
]
] | Machine learning technology has become ubiquitous, but, unfortunately, often exhibits bias. As a consequence, disparate stakeholders need to interact with and make informed decisions about using machine learning models in everyday systems. Visualization technology can support stakeholders in understanding and evaluatin... |
1002.4057 | Julien Langou | Emmanuel Agullo, Henricus Bouwmeester, Jack Dongarra, Jakub Kurzak,
Julien Langou, and Lee Rosenberg | Towards an Efficient Tile Matrix Inversion of Symmetric Positive
Definite Matrices on Multicore Architectures | 8 pages, extended abstract submitted to VecPar10 on 12/11/09,
notification of acceptance received on 02/05/10. See:
http://vecpar.fe.up.pt/2010/ | null | null | null | cs.MS cs.NA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The algorithms in the current sequential numerical linear algebra libraries
(e.g. LAPACK) do not parallelize well on multicore architectures. A new family
of algorithms, the tile algorithms, has recently been introduced. Previous
research has shown that it is possible to write efficient and scalable tile
algorithms f... | [
{
"created": "Mon, 22 Feb 2010 06:11:41 GMT",
"version": "v1"
}
] | 2010-02-23 | [
[
"Agullo",
"Emmanuel",
""
],
[
"Bouwmeester",
"Henricus",
""
],
[
"Dongarra",
"Jack",
""
],
[
"Kurzak",
"Jakub",
""
],
[
"Langou",
"Julien",
""
],
[
"Rosenberg",
"Lee",
""
]
] | The algorithms in the current sequential numerical linear algebra libraries (e.g. LAPACK) do not parallelize well on multicore architectures. A new family of algorithms, the tile algorithms, has recently been introduced. Previous research has shown that it is possible to write efficient and scalable tile algorithms for... |
2206.01441 | Paula Delgado-Santos | Paula Delgado-Santos, Ruben Tolosana, Richard Guest, Farzin Deravi,
Ruben Vera-Rodriguez | Exploring Transformers for Behavioural Biometrics: A Case Study in Gait
Recognition | null | null | null | null | cs.CV cs.HC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Biometrics on mobile devices has attracted a lot of attention in recent years
as it is considered a user-friendly authentication method. This interest has
also been motivated by the success of Deep Learning (DL). Architectures based
on Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)
have bee... | [
{
"created": "Fri, 3 Jun 2022 08:08:40 GMT",
"version": "v1"
}
] | 2022-06-06 | [
[
"Delgado-Santos",
"Paula",
""
],
[
"Tolosana",
"Ruben",
""
],
[
"Guest",
"Richard",
""
],
[
"Deravi",
"Farzin",
""
],
[
"Vera-Rodriguez",
"Ruben",
""
]
] | Biometrics on mobile devices has attracted a lot of attention in recent years as it is considered a user-friendly authentication method. This interest has also been motivated by the success of Deep Learning (DL). Architectures based on Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) have been ... |
2403.15472 | Boxuan Ma Dr. | Boxaun Ma, Li Chen and Shin'ichi Konomi | Enhancing Programming Education with ChatGPT: A Case Study on Student
Perceptions and Interactions in a Python Course | null | null | null | null | cs.CY cs.AI cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The integration of ChatGPT as a supportive tool in education, notably in
programming courses, addresses the unique challenges of programming education
by providing assistance with debugging, code generation, and explanations.
Despite existing research validating ChatGPT's effectiveness, its application
in university-... | [
{
"created": "Wed, 20 Mar 2024 15:47:28 GMT",
"version": "v1"
},
{
"created": "Wed, 27 Mar 2024 06:22:41 GMT",
"version": "v2"
},
{
"created": "Fri, 5 Apr 2024 11:32:24 GMT",
"version": "v3"
}
] | 2024-04-08 | [
[
"Ma",
"Boxaun",
""
],
[
"Chen",
"Li",
""
],
[
"Konomi",
"Shin'ichi",
""
]
] | The integration of ChatGPT as a supportive tool in education, notably in programming courses, addresses the unique challenges of programming education by providing assistance with debugging, code generation, and explanations. Despite existing research validating ChatGPT's effectiveness, its application in university-le... |
1107.2781 | Rami C. | Rami Cohen | Face Recognition using Curvelet Transform | 24 pages | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/3.0/ | Face recognition has been studied extensively for more than 20 years now.
Since the beginning of 90s the subject has became a major issue. This
technology is used in many important real-world applications, such as video
surveillance, smart cards, database security, internet and intranet access.
This report reviews re... | [
{
"created": "Thu, 14 Jul 2011 10:44:01 GMT",
"version": "v1"
}
] | 2011-07-15 | [
[
"Cohen",
"Rami",
""
]
] | Face recognition has been studied extensively for more than 20 years now. Since the beginning of 90s the subject has became a major issue. This technology is used in many important real-world applications, such as video surveillance, smart cards, database security, internet and intranet access. This report reviews rece... |
2109.12052 | Ajith Anil Meera | Fred Bos, Ajith Anil Meera, Dennis Benders and Martijn Wisse | Free Energy Principle for State and Input Estimation of a Quadcopter
Flying in Wind | Submitted manuscript under review | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The free energy principle from neuroscience provides a brain-inspired
perception scheme through a data-driven model learning algorithm called Dynamic
Expectation Maximization (DEM). This paper aims at introducing an experimental
design to provide the first experimental confirmation of the usefulness of DEM
as a state... | [
{
"created": "Fri, 24 Sep 2021 16:18:04 GMT",
"version": "v1"
}
] | 2021-09-27 | [
[
"Bos",
"Fred",
""
],
[
"Meera",
"Ajith Anil",
""
],
[
"Benders",
"Dennis",
""
],
[
"Wisse",
"Martijn",
""
]
] | The free energy principle from neuroscience provides a brain-inspired perception scheme through a data-driven model learning algorithm called Dynamic Expectation Maximization (DEM). This paper aims at introducing an experimental design to provide the first experimental confirmation of the usefulness of DEM as a state a... |
1511.03383 | Weimin Wang | Xue Dong, Kun Wang, Chong Xu, Weimin Wang | Information Rate Decomposition for Feedback Systems with Output
Disturbance | 5 pages, technical note | null | null | null | cs.IT cs.SY math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This technical note considers the problem of resource allocation in linear
feedback control system with output disturbance. By decomposing the information
rate in the feedback communication channel, the channel resource allocation is
thoroughly analyzed. The results show that certain amount of resource is used
to tra... | [
{
"created": "Wed, 11 Nov 2015 04:22:21 GMT",
"version": "v1"
}
] | 2015-11-12 | [
[
"Dong",
"Xue",
""
],
[
"Wang",
"Kun",
""
],
[
"Xu",
"Chong",
""
],
[
"Wang",
"Weimin",
""
]
] | This technical note considers the problem of resource allocation in linear feedback control system with output disturbance. By decomposing the information rate in the feedback communication channel, the channel resource allocation is thoroughly analyzed. The results show that certain amount of resource is used to trans... |
2304.06287 | Chen Yang | Chen Yang, Peihao Li, Zanwei Zhou, Shanxin Yuan, Bingbing Liu,
Xiaokang Yang, Weichao Qiu, Wei Shen | NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry
Scaffolds | 10 pages, 7 figures | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present NeRFVS, a novel neural radiance fields (NeRF) based method to
enable free navigation in a room. NeRF achieves impressive performance in
rendering images for novel views similar to the input views while suffering for
novel views that are significantly different from the training views. To
address this issue... | [
{
"created": "Thu, 13 Apr 2023 06:40:08 GMT",
"version": "v1"
},
{
"created": "Tue, 23 May 2023 12:49:17 GMT",
"version": "v2"
}
] | 2023-05-24 | [
[
"Yang",
"Chen",
""
],
[
"Li",
"Peihao",
""
],
[
"Zhou",
"Zanwei",
""
],
[
"Yuan",
"Shanxin",
""
],
[
"Liu",
"Bingbing",
""
],
[
"Yang",
"Xiaokang",
""
],
[
"Qiu",
"Weichao",
""
],
[
"Shen",
"Wei... | We present NeRFVS, a novel neural radiance fields (NeRF) based method to enable free navigation in a room. NeRF achieves impressive performance in rendering images for novel views similar to the input views while suffering for novel views that are significantly different from the training views. To address this issue, ... |
2105.12374 | Khadija Shaheen | Khadija Shaheen, Muhammad Abdullah Hanif, Osman Hasan, Muhammad
Shafique | Continual Learning for Real-World Autonomous Systems: Algorithms,
Challenges and Frameworks | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Continual learning is essential for all real-world applications, as frozen
pre-trained models cannot effectively deal with non-stationary data
distributions. The purpose of this study is to review the state-of-the-art
methods that allow continuous learning of computational models over time. We
primarily focus on the ... | [
{
"created": "Wed, 26 May 2021 07:38:20 GMT",
"version": "v1"
},
{
"created": "Fri, 25 Feb 2022 00:08:20 GMT",
"version": "v2"
}
] | 2022-02-28 | [
[
"Shaheen",
"Khadija",
""
],
[
"Hanif",
"Muhammad Abdullah",
""
],
[
"Hasan",
"Osman",
""
],
[
"Shafique",
"Muhammad",
""
]
] | Continual learning is essential for all real-world applications, as frozen pre-trained models cannot effectively deal with non-stationary data distributions. The purpose of this study is to review the state-of-the-art methods that allow continuous learning of computational models over time. We primarily focus on the le... |
1806.07586 | Andreas Bjorklund | Andreas Bj\"orklund and Thore Husfeldt | Counting Shortest Two Disjoint Paths in Cubic Planar Graphs with an NC
Algorithm | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given an undirected graph and two disjoint vertex pairs $s_1,t_1$ and
$s_2,t_2$, the Shortest two disjoint paths problem (S2DP) asks for the minimum
total length of two vertex disjoint paths connecting $s_1$ with $t_1$, and
$s_2$ with $t_2$, respectively.
We show that for cubic planar graphs there are NC algorithms... | [
{
"created": "Wed, 20 Jun 2018 07:26:37 GMT",
"version": "v1"
}
] | 2018-06-21 | [
[
"Björklund",
"Andreas",
""
],
[
"Husfeldt",
"Thore",
""
]
] | Given an undirected graph and two disjoint vertex pairs $s_1,t_1$ and $s_2,t_2$, the Shortest two disjoint paths problem (S2DP) asks for the minimum total length of two vertex disjoint paths connecting $s_1$ with $t_1$, and $s_2$ with $t_2$, respectively. We show that for cubic planar graphs there are NC algorithms, un... |
2204.01731 | Shuang Liang | Shuang Liang, Yinan Zou, and Yong Zhou | Gan-Based Joint Activity Detection and Channel Estimation For Grant-free
Random Access | 5 pages, 5 figures IEEE ICASSP2022 | null | null | null | cs.LG eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Joint activity detection and channel estimation (JADCE) for grant-free random
access is a critical issue that needs to be addressed to support massive
connectivity in IoT networks. However, the existing model-free learning method
can only achieve either activity detection or channel estimation, but not both.
In this ... | [
{
"created": "Mon, 4 Apr 2022 12:35:37 GMT",
"version": "v1"
}
] | 2022-04-06 | [
[
"Liang",
"Shuang",
""
],
[
"Zou",
"Yinan",
""
],
[
"Zhou",
"Yong",
""
]
] | Joint activity detection and channel estimation (JADCE) for grant-free random access is a critical issue that needs to be addressed to support massive connectivity in IoT networks. However, the existing model-free learning method can only achieve either activity detection or channel estimation, but not both. In this pa... |
2106.14139 | Zhongyun Hua | Zhongyun Hua and Yanxiang Wang and Shuang Yi and Yicong Zhou and
Xiaohua Jia | Secure Reversible Data Hiding in Encrypted Images Using Cipher-Feedback
Secret Sharing | 14 pages | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reversible data hiding in encrypted images (RDH-EI) has attracted increasing
attention, since it can protect the privacy of original images while the
embedded data can be exactly extracted. Recently, some RDH-EI schemes with
multiple data hiders have been proposed using secret sharing technique.
However, these scheme... | [
{
"created": "Sun, 27 Jun 2021 04:03:56 GMT",
"version": "v1"
}
] | 2021-06-29 | [
[
"Hua",
"Zhongyun",
""
],
[
"Wang",
"Yanxiang",
""
],
[
"Yi",
"Shuang",
""
],
[
"Zhou",
"Yicong",
""
],
[
"Jia",
"Xiaohua",
""
]
] | Reversible data hiding in encrypted images (RDH-EI) has attracted increasing attention, since it can protect the privacy of original images while the embedded data can be exactly extracted. Recently, some RDH-EI schemes with multiple data hiders have been proposed using secret sharing technique. However, these schemes ... |
2403.07118 | Ameeta Agrawal | Atharva Phatak, Vijay K. Mago, Ameeta Agrawal, Aravind Inbasekaran,
Philippe J. Giabbanelli | Narrating Causal Graphs with Large Language Models | HICSS '24 | Proceedings of the 57th Hawaii International Conference on System
Sciences 2024 | null | https://hdl.handle.net/10125/107290 | cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The use of generative AI to create text descriptions from graphs has mostly
focused on knowledge graphs, which connect concepts using facts. In this work
we explore the capability of large pretrained language models to generate text
from causal graphs, where salient concepts are represented as nodes and
causality is ... | [
{
"created": "Mon, 11 Mar 2024 19:19:59 GMT",
"version": "v1"
}
] | 2024-04-09 | [
[
"Phatak",
"Atharva",
""
],
[
"Mago",
"Vijay K.",
""
],
[
"Agrawal",
"Ameeta",
""
],
[
"Inbasekaran",
"Aravind",
""
],
[
"Giabbanelli",
"Philippe J.",
""
]
] | The use of generative AI to create text descriptions from graphs has mostly focused on knowledge graphs, which connect concepts using facts. In this work we explore the capability of large pretrained language models to generate text from causal graphs, where salient concepts are represented as nodes and causality is re... |
2111.14018 | Raja Karmakar | Priyanka Bothra, Raja Karmakar, Sanjukta Bhattacharya, Sayantani De | How Can Applications of Blockchain and Artificial Intelligence Improve
Performance of Internet of Things? -- A Survey | null | null | null | null | cs.NI | http://creativecommons.org/licenses/by/4.0/ | In the era of the Internet of Things (IoT), massive computing devices
surrounding us operate and interact with each other to provide several
significant services in industries, medical as well as in daily life activities
at home, office, education sectors, and so on. The participating devices in an
IoT network usuall... | [
{
"created": "Sun, 28 Nov 2021 01:45:15 GMT",
"version": "v1"
}
] | 2021-11-30 | [
[
"Bothra",
"Priyanka",
""
],
[
"Karmakar",
"Raja",
""
],
[
"Bhattacharya",
"Sanjukta",
""
],
[
"De",
"Sayantani",
""
]
] | In the era of the Internet of Things (IoT), massive computing devices surrounding us operate and interact with each other to provide several significant services in industries, medical as well as in daily life activities at home, office, education sectors, and so on. The participating devices in an IoT network usually ... |
2309.01949 | Berthy Feng | Berthy T. Feng, Katherine L. Bouman | Efficient Bayesian Computational Imaging with a Surrogate Score-Based
Prior | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a surrogate function for efficient use of score-based priors for
Bayesian inverse imaging. Recent work turned score-based diffusion models into
probabilistic priors for solving ill-posed imaging problems by appealing to an
ODE-based log-probability function. However, evaluating this function is
computation... | [
{
"created": "Tue, 5 Sep 2023 04:55:10 GMT",
"version": "v1"
}
] | 2023-09-06 | [
[
"Feng",
"Berthy T.",
""
],
[
"Bouman",
"Katherine L.",
""
]
] | We propose a surrogate function for efficient use of score-based priors for Bayesian inverse imaging. Recent work turned score-based diffusion models into probabilistic priors for solving ill-posed imaging problems by appealing to an ODE-based log-probability function. However, evaluating this function is computational... |
2402.04168 | Daniel Bogdoll | Daniel Bogdoll, Jing Qin, Moritz Nekolla, Ahmed Abouelazm, Tim Joseph,
J. Marius Z\"ollner | Informed Reinforcement Learning for Situation-Aware Traffic Rule
Exceptions | Daniel Bogdoll and Jing Qin contributed equally. Accepted for
publication at ICRA 2024 | null | null | null | cs.LG cs.CV cs.RO | http://creativecommons.org/licenses/by/4.0/ | Reinforcement Learning is a highly active research field with promising
advancements. In the field of autonomous driving, however, often very simple
scenarios are being examined. Common approaches use non-interpretable control
commands as the action space and unstructured reward designs which lack
structure. In this ... | [
{
"created": "Tue, 6 Feb 2024 17:24:06 GMT",
"version": "v1"
},
{
"created": "Wed, 12 Jun 2024 11:34:30 GMT",
"version": "v2"
}
] | 2024-06-13 | [
[
"Bogdoll",
"Daniel",
""
],
[
"Qin",
"Jing",
""
],
[
"Nekolla",
"Moritz",
""
],
[
"Abouelazm",
"Ahmed",
""
],
[
"Joseph",
"Tim",
""
],
[
"Zöllner",
"J. Marius",
""
]
] | Reinforcement Learning is a highly active research field with promising advancements. In the field of autonomous driving, however, often very simple scenarios are being examined. Common approaches use non-interpretable control commands as the action space and unstructured reward designs which lack structure. In this wo... |
2310.05471 | Siddharth Gupta | Siddharth Gupta, Guy Sa'ar, Meirav Zehavi | Drawn Tree Decomposition: New Approach for Graph Drawing Problems | A preliminary version of this paper will appear in the Proceedings of
IPEC 2023 | null | null | null | cs.DS cs.CG | http://creativecommons.org/licenses/by/4.0/ | Over the past decade, we witness an increasing amount of interest in the
design of exact exponential-time and parameterized algorithms for problems in
Graph Drawing. Unfortunately, we still lack knowledge of general methods to
develop such algorithms. An even more serious issue is that, here, "standard"
parameters ve... | [
{
"created": "Mon, 9 Oct 2023 07:27:17 GMT",
"version": "v1"
}
] | 2023-10-10 | [
[
"Gupta",
"Siddharth",
""
],
[
"Sa'ar",
"Guy",
""
],
[
"Zehavi",
"Meirav",
""
]
] | Over the past decade, we witness an increasing amount of interest in the design of exact exponential-time and parameterized algorithms for problems in Graph Drawing. Unfortunately, we still lack knowledge of general methods to develop such algorithms. An even more serious issue is that, here, "standard" parameters very... |
1810.01172 | Yousef Alnagar | Yousef AlNagar, Sameh Hosny and Amr A. El-Sherif | Towards Mobility-Aware Proactive Caching for Vehicular Ad hoc Networks | null | null | null | null | cs.NI | http://creativecommons.org/licenses/by/4.0/ | Harnessing information about the user mobility pattern and daily demand can
enhance the network capability to improve the quality of experience (QoE) at
Vehicular Ad-Hoc Networks (VANETs). Proactive caching, as one of the key
features offered by 5G networks, has lately received much interest. However,
more research i... | [
{
"created": "Tue, 2 Oct 2018 11:19:30 GMT",
"version": "v1"
}
] | 2018-10-03 | [
[
"AlNagar",
"Yousef",
""
],
[
"Hosny",
"Sameh",
""
],
[
"El-Sherif",
"Amr A.",
""
]
] | Harnessing information about the user mobility pattern and daily demand can enhance the network capability to improve the quality of experience (QoE) at Vehicular Ad-Hoc Networks (VANETs). Proactive caching, as one of the key features offered by 5G networks, has lately received much interest. However, more research is ... |
1607.04629 | Aronee Dasgupta Mr | Aronee Dasgupta, Sahil Chakraborty, Astha Nachrani and Pritam Gajkumar
Shah | Lightweight Security Protocol for WiSense based Wireless Sensor Network | 5 pages, 4 figures, 2 tables. Published with International Journal of
Computer Applications (IJCA) | International Journal of Computer Applications 145(3):6-10, July
2016 | 10.5120/ijca2016910172 | null | cs.NI cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Wireless Sensor Networks have emerged as one of the leading technologies.
These networks are designed to monitor crucial environmental parameters of
humidity, temperature, wind speed, soil moisture content, UV index, sound, etc.
and then transfer the required information to the base station. However,
security remains... | [
{
"created": "Fri, 15 Jul 2016 19:46:36 GMT",
"version": "v1"
}
] | 2016-07-18 | [
[
"Dasgupta",
"Aronee",
""
],
[
"Chakraborty",
"Sahil",
""
],
[
"Nachrani",
"Astha",
""
],
[
"Shah",
"Pritam Gajkumar",
""
]
] | Wireless Sensor Networks have emerged as one of the leading technologies. These networks are designed to monitor crucial environmental parameters of humidity, temperature, wind speed, soil moisture content, UV index, sound, etc. and then transfer the required information to the base station. However, security remains t... |
2011.04702 | Zhiqian Qiao | Josiah Coad, Zhiqian Qiao, John M. Dolan | Safe Trajectory Planning Using Reinforcement Learning for Self Driving | 7 pages, 5 figures | null | null | null | cs.RO cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Self-driving vehicles must be able to act intelligently in diverse and
difficult environments, marked by high-dimensional state spaces, a myriad of
optimization objectives and complex behaviors. Traditionally, classical
optimization and search techniques have been applied to the problem of
self-driving; but they do n... | [
{
"created": "Mon, 9 Nov 2020 19:29:14 GMT",
"version": "v1"
}
] | 2020-11-11 | [
[
"Coad",
"Josiah",
""
],
[
"Qiao",
"Zhiqian",
""
],
[
"Dolan",
"John M.",
""
]
] | Self-driving vehicles must be able to act intelligently in diverse and difficult environments, marked by high-dimensional state spaces, a myriad of optimization objectives and complex behaviors. Traditionally, classical optimization and search techniques have been applied to the problem of self-driving; but they do not... |
2006.12063 | Perttu H\"am\"al\"ainen | Perttu H\"am\"al\"ainen and Martin Trapp and Tuure Saloheimo and Arno
Solin | Deep Residual Mixture Models | Code and examples can be found at
https://github.com/PerttuHamalainen/DRMM | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose Deep Residual Mixture Models (DRMMs), a novel deep generative
model architecture. Compared to other deep models, DRMMs allow more flexible
conditional sampling: The model can be trained once with all variables, and
then used for sampling with arbitrary combinations of conditioning variables,
Gaussian prior... | [
{
"created": "Mon, 22 Jun 2020 08:25:41 GMT",
"version": "v1"
},
{
"created": "Fri, 20 Nov 2020 14:35:15 GMT",
"version": "v2"
},
{
"created": "Wed, 21 Jul 2021 06:26:14 GMT",
"version": "v3"
}
] | 2021-07-22 | [
[
"Hämäläinen",
"Perttu",
""
],
[
"Trapp",
"Martin",
""
],
[
"Saloheimo",
"Tuure",
""
],
[
"Solin",
"Arno",
""
]
] | We propose Deep Residual Mixture Models (DRMMs), a novel deep generative model architecture. Compared to other deep models, DRMMs allow more flexible conditional sampling: The model can be trained once with all variables, and then used for sampling with arbitrary combinations of conditioning variables, Gaussian priors,... |
1512.00659 | Sanjay Sahay | Aruna Govada, Bhavul Gauri and S.K.Sahay | Centroid Based Binary Tree Structured SVM for Multi Classification | Presented in ICACCI, Kochi, India, 2015 | IEEE Xplore, Advances in Computing, Communications and Informatics
(ICACCI), p.258 - 262, 2015 | 10.1109/ICACCI.2015.7275618 | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Support Vector Machines (SVMs) were primarily designed for 2-class
classification. But they have been extended for N-class classification also
based on the requirement of multiclasses in the practical applications.
Although N-class classification using SVM has considerable research attention,
getting minimum number o... | [
{
"created": "Wed, 2 Dec 2015 11:48:38 GMT",
"version": "v1"
}
] | 2015-12-03 | [
[
"Govada",
"Aruna",
""
],
[
"Gauri",
"Bhavul",
""
],
[
"Sahay",
"S. K.",
""
]
] | Support Vector Machines (SVMs) were primarily designed for 2-class classification. But they have been extended for N-class classification also based on the requirement of multiclasses in the practical applications. Although N-class classification using SVM has considerable research attention, getting minimum number of ... |
1911.03904 | Deli Chen | Deli Chen, Xiaoqian Liu, Yankai Lin, Peng Li, Jie Zhou, Qi Su, Xu Sun | HighwayGraph: Modelling Long-distance Node Relations for Improving
General Graph Neural Network | 8 pages | null | null | null | cs.LG cs.CL cs.SI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph Neural Networks (GNNs) are efficient approaches to process
graph-structured data. Modelling long-distance node relations is essential for
GNN training and applications. However, conventional GNNs suffer from bad
performance in modelling long-distance node relations due to limited-layer
information propagation. ... | [
{
"created": "Sun, 10 Nov 2019 11:23:37 GMT",
"version": "v1"
},
{
"created": "Sun, 17 May 2020 05:18:55 GMT",
"version": "v2"
}
] | 2020-05-19 | [
[
"Chen",
"Deli",
""
],
[
"Liu",
"Xiaoqian",
""
],
[
"Lin",
"Yankai",
""
],
[
"Li",
"Peng",
""
],
[
"Zhou",
"Jie",
""
],
[
"Su",
"Qi",
""
],
[
"Sun",
"Xu",
""
]
] | Graph Neural Networks (GNNs) are efficient approaches to process graph-structured data. Modelling long-distance node relations is essential for GNN training and applications. However, conventional GNNs suffer from bad performance in modelling long-distance node relations due to limited-layer information propagation. Ex... |
1401.0734 | Megasthenis Asteris | Megasthenis Asteris, Alexandros G. Dimakis | Repairable Fountain Codes | To appear in IEEE Journal on Selected Areas in Communications, Issue
on Communication Methodologies for Next-Generation Storage Systems 2013, 11
pages, 2 figures | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a new family of Fountain codes that are systematic and also have
sparse parities. Given an input of $k$ symbols, our codes produce an unbounded
number of output symbols, generating each parity independently by linearly
combining a logarithmic number of randomly selected input symbols. The
construction gu... | [
{
"created": "Fri, 3 Jan 2014 21:18:12 GMT",
"version": "v1"
}
] | 2014-01-07 | [
[
"Asteris",
"Megasthenis",
""
],
[
"Dimakis",
"Alexandros G.",
""
]
] | We introduce a new family of Fountain codes that are systematic and also have sparse parities. Given an input of $k$ symbols, our codes produce an unbounded number of output symbols, generating each parity independently by linearly combining a logarithmic number of randomly selected input symbols. The construction guar... |
2306.07618 | Lingfeng Wen | Lingfeng Wen, Xuan Tang, Mingjie Ouyang, Xiangxiang Shen, Jian Yang,
Daxin Zhu, Mingsong Chen, Xian Wei | Hyperbolic Graph Diffusion Model | accepted by AAAI 2024 | null | null | null | cs.LG cs.AI q-bio.QM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Diffusion generative models (DMs) have achieved promising results in image
and graph generation. However, real-world graphs, such as social networks,
molecular graphs, and traffic graphs, generally share non-Euclidean topologies
and hidden hierarchies. For example, the degree distributions of graphs are
mostly power-... | [
{
"created": "Tue, 13 Jun 2023 08:22:18 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Jun 2023 06:25:24 GMT",
"version": "v2"
},
{
"created": "Wed, 3 Jan 2024 11:22:21 GMT",
"version": "v3"
}
] | 2024-01-04 | [
[
"Wen",
"Lingfeng",
""
],
[
"Tang",
"Xuan",
""
],
[
"Ouyang",
"Mingjie",
""
],
[
"Shen",
"Xiangxiang",
""
],
[
"Yang",
"Jian",
""
],
[
"Zhu",
"Daxin",
""
],
[
"Chen",
"Mingsong",
""
],
[
"Wei",
"... | Diffusion generative models (DMs) have achieved promising results in image and graph generation. However, real-world graphs, such as social networks, molecular graphs, and traffic graphs, generally share non-Euclidean topologies and hidden hierarchies. For example, the degree distributions of graphs are mostly power-la... |
2312.16210 | James Davenport | James H. Davenport and Matthew England and Scott McCallum and Ali K.
Uncu | Iterated Resultants and Rational Functions in Real Quantifier
Elimination | To be submitted to Mathematics in Computer Science | null | null | null | cs.SC math.AG | http://creativecommons.org/licenses/by/4.0/ | This paper builds and extends on the authors previous work related to the
algorithmic tool, Cylindrical Algebraic Decomposition (CAD), and one of its
core applications, Real Quantifier Elimination (QE). These topics are at the
heart of symbolic computation and were first implemented in computer algebra
systems decade... | [
{
"created": "Sat, 23 Dec 2023 17:32:45 GMT",
"version": "v1"
}
] | 2023-12-29 | [
[
"Davenport",
"James H.",
""
],
[
"England",
"Matthew",
""
],
[
"McCallum",
"Scott",
""
],
[
"Uncu",
"Ali K.",
""
]
] | This paper builds and extends on the authors previous work related to the algorithmic tool, Cylindrical Algebraic Decomposition (CAD), and one of its core applications, Real Quantifier Elimination (QE). These topics are at the heart of symbolic computation and were first implemented in computer algebra systems decades ... |
2302.09079 | Biplav Srivastava | Biplav Srivastava, Kausik Lakkaraju, Mariana Bernagozzi, Marco
Valtorta | Advances in Automatically Rating the Trustworthiness of Text Processing
Services | 9 pages, Accepted at 2023 Spring Symposium on AI Trustworthiness
Assessment | null | null | null | cs.HC cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | AI services are known to have unstable behavior when subjected to changes in
data, models or users. Such behaviors, whether triggered by omission or
commission, lead to trust issues when AI works with humans. The current
approach of assessing AI services in a black box setting, where the consumer
does not have access... | [
{
"created": "Sat, 4 Feb 2023 14:27:46 GMT",
"version": "v1"
}
] | 2023-02-21 | [
[
"Srivastava",
"Biplav",
""
],
[
"Lakkaraju",
"Kausik",
""
],
[
"Bernagozzi",
"Mariana",
""
],
[
"Valtorta",
"Marco",
""
]
] | AI services are known to have unstable behavior when subjected to changes in data, models or users. Such behaviors, whether triggered by omission or commission, lead to trust issues when AI works with humans. The current approach of assessing AI services in a black box setting, where the consumer does not have access t... |
2204.07724 | Dongxiao Zhang | Hao Xu, Yuntian Chen, Dongxiao Zhang | Semantic interpretation for convolutional neural networks: What makes a
cat a cat? | 33 pages, 11 figures | Advanced Science, 2022 | 10.1002/advs.202204723 | null | cs.LG cs.AI cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The interpretability of deep neural networks has attracted increasing
attention in recent years, and several methods have been created to interpret
the "black box" model. Fundamental limitations remain, however, that impede the
pace of understanding the networks, especially the extraction of understandable
semantic s... | [
{
"created": "Sat, 16 Apr 2022 05:25:17 GMT",
"version": "v1"
}
] | 2023-12-05 | [
[
"Xu",
"Hao",
""
],
[
"Chen",
"Yuntian",
""
],
[
"Zhang",
"Dongxiao",
""
]
] | The interpretability of deep neural networks has attracted increasing attention in recent years, and several methods have been created to interpret the "black box" model. Fundamental limitations remain, however, that impede the pace of understanding the networks, especially the extraction of understandable semantic spa... |
2301.10761 | Tanvi Dinkar | Tanvi Dinkar, Chlo\'e Clavel, Ioana Vasilescu | Fillers in Spoken Language Understanding: Computational and
Psycholinguistic Perspectives | \footnote{This article has been published in the journal "Traitement
Automatique des Langues" 63(3): 37-62, 2022,@ATALA. The original manuscript
is available on the web site www.atala.org} | null | null | null | cs.CL cs.HC | http://creativecommons.org/licenses/by/4.0/ | Disfluencies (i.e. interruptions in the regular flow of speech), are
ubiquitous to spoken discourse. Fillers ("uh", "um") are disfluencies that
occur the most frequently compared to other kinds of disfluencies. Yet, to the
best of our knowledge, there isn't a resource that brings together the research
perspectives in... | [
{
"created": "Wed, 25 Jan 2023 18:55:05 GMT",
"version": "v1"
},
{
"created": "Wed, 8 Mar 2023 19:10:39 GMT",
"version": "v2"
},
{
"created": "Fri, 10 Mar 2023 11:04:26 GMT",
"version": "v3"
},
{
"created": "Fri, 24 Mar 2023 15:35:49 GMT",
"version": "v4"
}
] | 2023-03-27 | [
[
"Dinkar",
"Tanvi",
""
],
[
"Clavel",
"Chloé",
""
],
[
"Vasilescu",
"Ioana",
""
]
] | Disfluencies (i.e. interruptions in the regular flow of speech), are ubiquitous to spoken discourse. Fillers ("uh", "um") are disfluencies that occur the most frequently compared to other kinds of disfluencies. Yet, to the best of our knowledge, there isn't a resource that brings together the research perspectives infl... |
2110.09443 | Benjamin Chamberlain Dr | Benjamin Paul Chamberlain, James Rowbottom, Davide Eynard, Francesco
Di Giovanni, Xiaowen Dong, Michael M Bronstein | Beltrami Flow and Neural Diffusion on Graphs | 21 pages, 5 figures. Proceedings of the Thirty-fifth Conference on
Neural Information Processing Systems (NeurIPS) 2021 | null | null | null | cs.LG cs.AI stat.ML | http://creativecommons.org/licenses/by/4.0/ | We propose a novel class of graph neural networks based on the discretised
Beltrami flow, a non-Euclidean diffusion PDE. In our model, node features are
supplemented with positional encodings derived from the graph topology and
jointly evolved by the Beltrami flow, producing simultaneously continuous
feature learning... | [
{
"created": "Mon, 18 Oct 2021 16:23:38 GMT",
"version": "v1"
}
] | 2021-10-19 | [
[
"Chamberlain",
"Benjamin Paul",
""
],
[
"Rowbottom",
"James",
""
],
[
"Eynard",
"Davide",
""
],
[
"Di Giovanni",
"Francesco",
""
],
[
"Dong",
"Xiaowen",
""
],
[
"Bronstein",
"Michael M",
""
]
] | We propose a novel class of graph neural networks based on the discretised Beltrami flow, a non-Euclidean diffusion PDE. In our model, node features are supplemented with positional encodings derived from the graph topology and jointly evolved by the Beltrami flow, producing simultaneously continuous feature learning a... |
2309.08871 | Yanhao Yang | Yanhao Yang, Capprin Bass, Ross L. Hatton | Towards Geometric Motion Planning for High-Dimensional Systems:
Gait-Based Coordinate Optimization and Local Metrics | 7 pages, 6 figures, accepted to the 2024 IEEE International
Conference on Robotics and Automation (ICRA 2024) | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Geometric motion planning offers effective and interpretable gait analysis
and optimization tools for locomoting systems. However, due to the curse of
dimensionality in coordinate optimization, a key component of geometric motion
planning, it is almost infeasible to apply current geometric motion planning to
high-dim... | [
{
"created": "Sat, 16 Sep 2023 04:28:12 GMT",
"version": "v1"
},
{
"created": "Thu, 7 Mar 2024 04:51:34 GMT",
"version": "v2"
}
] | 2024-03-08 | [
[
"Yang",
"Yanhao",
""
],
[
"Bass",
"Capprin",
""
],
[
"Hatton",
"Ross L.",
""
]
] | Geometric motion planning offers effective and interpretable gait analysis and optimization tools for locomoting systems. However, due to the curse of dimensionality in coordinate optimization, a key component of geometric motion planning, it is almost infeasible to apply current geometric motion planning to high-dimen... |
2403.15458 | Daniel Fesalbon | Daniel Fesalbon, Arvin De La Cruz, Marvin Mallari, and Nelson Rodelas | Fine-Tuning Pre-trained Language Models to Detect In-Game Trash Talks | null | IJFMR Volume 6, Issue 2, March-April 2024 | 10.36948/ijfmr.2024.v06i02.14927 | null | cs.CL cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Common problems in playing online mobile and computer games were related to
toxic behavior and abusive communication among players. Based on different
reports and studies, the study also discusses the impact of online hate speech
and toxicity on players' in-game performance and overall well-being. This study
investig... | [
{
"created": "Tue, 19 Mar 2024 11:36:53 GMT",
"version": "v1"
}
] | 2024-03-28 | [
[
"Fesalbon",
"Daniel",
""
],
[
"De La Cruz",
"Arvin",
""
],
[
"Mallari",
"Marvin",
""
],
[
"Rodelas",
"Nelson",
""
]
] | Common problems in playing online mobile and computer games were related to toxic behavior and abusive communication among players. Based on different reports and studies, the study also discusses the impact of online hate speech and toxicity on players' in-game performance and overall well-being. This study investigat... |
2303.08225 | Hao Tang | Hao Tang, Zhenyu Zhang, Humphrey Shi, Bo Li, Ling Shao, Nicu Sebe,
Radu Timofte, Luc Van Gool | Graph Transformer GANs for Graph-Constrained House Generation | CVPR 2023 | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a novel graph Transformer generative adversarial network (GTGAN)
to learn effective graph node relations in an end-to-end fashion for the
challenging graph-constrained house generation task. The proposed
graph-Transformer-based generator includes a novel graph Transformer encoder
that combines graph convol... | [
{
"created": "Tue, 14 Mar 2023 20:35:45 GMT",
"version": "v1"
}
] | 2023-03-16 | [
[
"Tang",
"Hao",
""
],
[
"Zhang",
"Zhenyu",
""
],
[
"Shi",
"Humphrey",
""
],
[
"Li",
"Bo",
""
],
[
"Shao",
"Ling",
""
],
[
"Sebe",
"Nicu",
""
],
[
"Timofte",
"Radu",
""
],
[
"Van Gool",
"Luc",
... | We present a novel graph Transformer generative adversarial network (GTGAN) to learn effective graph node relations in an end-to-end fashion for the challenging graph-constrained house generation task. The proposed graph-Transformer-based generator includes a novel graph Transformer encoder that combines graph convolut... |
2110.03246 | Jannik Vierling | Stefan Hetzl, Jannik Vierling | Unprovability results for clause set cycles | Revised version | null | null | null | cs.LO | http://creativecommons.org/licenses/by/4.0/ | The notion of clause set cycle abstracts a family of methods for automated
inductive theorem proving based on the detection of cyclic dependencies between
clause sets. By discerning the underlying logical features of clause set
cycles, we are able to characterize clause set cycles by a logical theory. We
make use of ... | [
{
"created": "Thu, 7 Oct 2021 08:00:11 GMT",
"version": "v1"
},
{
"created": "Thu, 4 Aug 2022 15:12:47 GMT",
"version": "v2"
}
] | 2022-08-05 | [
[
"Hetzl",
"Stefan",
""
],
[
"Vierling",
"Jannik",
""
]
] | The notion of clause set cycle abstracts a family of methods for automated inductive theorem proving based on the detection of cyclic dependencies between clause sets. By discerning the underlying logical features of clause set cycles, we are able to characterize clause set cycles by a logical theory. We make use of th... |
0808.0247 | Danilo Gligoroski | Danilo Gligoroski and Smile Markovski and Svein Johan Knapskog | A Public Key Block Cipher Based on Multivariate Quadratic Quasigroups | This is an extended and updated version of a paper "Multivariate
Quadratic Trapdoor Functions Based on Multivariate Quadratic Quasigroups",
Proceedings of the American Conference On Applied Mathematics (MATH '08),
Cambridge, Massachusetts, USA, March 24-26, 2008 | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We have designed a new class of public key algorithms based on quasigroup
string transformations using a specific class of quasigroups called
multivariate quadratic quasigroups (MQQ). Our public key algorithm is a
bijective mapping, it does not perform message expansions and can be used both
for encryption and signat... | [
{
"created": "Sat, 2 Aug 2008 09:48:16 GMT",
"version": "v1"
}
] | 2008-08-05 | [
[
"Gligoroski",
"Danilo",
""
],
[
"Markovski",
"Smile",
""
],
[
"Knapskog",
"Svein Johan",
""
]
] | We have designed a new class of public key algorithms based on quasigroup string transformations using a specific class of quasigroups called multivariate quadratic quasigroups (MQQ). Our public key algorithm is a bijective mapping, it does not perform message expansions and can be used both for encryption and signatur... |
2305.14936 | Ivan Habernal | Cleo Matzken, Steffen Eger, Ivan Habernal | Trade-Offs Between Fairness and Privacy in Language Modeling | Findings of ACL 2023 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Protecting privacy in contemporary NLP models is gaining in importance. So
does the need to mitigate social biases of such models. But can we have both at
the same time? Existing research suggests that privacy preservation comes at
the price of worsening biases in classification tasks. In this paper, we
explore the e... | [
{
"created": "Wed, 24 May 2023 09:18:28 GMT",
"version": "v1"
}
] | 2023-05-25 | [
[
"Matzken",
"Cleo",
""
],
[
"Eger",
"Steffen",
""
],
[
"Habernal",
"Ivan",
""
]
] | Protecting privacy in contemporary NLP models is gaining in importance. So does the need to mitigate social biases of such models. But can we have both at the same time? Existing research suggests that privacy preservation comes at the price of worsening biases in classification tasks. In this paper, we explore the ext... |
2403.10698 | Minh-Hao Van | Minh-Hao Van, Alycia N. Carey, Xintao Wu | Robust Influence-based Training Methods for Noisy Brain MRI | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | Correctly classifying brain tumors is imperative to the prompt and accurate
treatment of a patient. While several classification algorithms based on
classical image processing or deep learning methods have been proposed to
rapidly classify tumors in MR images, most assume the unrealistic setting of
noise-free trainin... | [
{
"created": "Fri, 15 Mar 2024 21:30:25 GMT",
"version": "v1"
},
{
"created": "Thu, 9 May 2024 22:38:25 GMT",
"version": "v2"
}
] | 2024-05-13 | [
[
"Van",
"Minh-Hao",
""
],
[
"Carey",
"Alycia N.",
""
],
[
"Wu",
"Xintao",
""
]
] | Correctly classifying brain tumors is imperative to the prompt and accurate treatment of a patient. While several classification algorithms based on classical image processing or deep learning methods have been proposed to rapidly classify tumors in MR images, most assume the unrealistic setting of noise-free training ... |
2002.06765 | Teppei Suzuki | Teppei Suzuki | Superpixel Segmentation via Convolutional Neural Networks with
Regularized Information Maximization | To appear in ICASSP 2020 | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose an unsupervised superpixel segmentation method by optimizing a
randomly-initialized convolutional neural network (CNN) in inference time. Our
method generates superpixels via CNN from a single image without any labels by
minimizing a proposed objective function for superpixel segmentation in
inference time... | [
{
"created": "Mon, 17 Feb 2020 04:32:03 GMT",
"version": "v1"
},
{
"created": "Thu, 9 Apr 2020 02:12:09 GMT",
"version": "v2"
},
{
"created": "Fri, 26 Jun 2020 14:02:13 GMT",
"version": "v3"
}
] | 2020-06-29 | [
[
"Suzuki",
"Teppei",
""
]
] | We propose an unsupervised superpixel segmentation method by optimizing a randomly-initialized convolutional neural network (CNN) in inference time. Our method generates superpixels via CNN from a single image without any labels by minimizing a proposed objective function for superpixel segmentation in inference time. ... |
1603.08853 | Jeffrey Liu | Jeffrey Liu, Saurabh Amin, Galina Schwartz | Effects of Information Heterogeneity in Bayesian Routing Games | null | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This article studies the value of information in route choice decisions when
a fraction of players have access to high accuracy information about traffic
incidents relative to others. To model such environments, we introduce a
Bayesian congestion game, in which players have private information about
incidents, and ea... | [
{
"created": "Tue, 29 Mar 2016 17:22:31 GMT",
"version": "v1"
}
] | 2016-03-30 | [
[
"Liu",
"Jeffrey",
""
],
[
"Amin",
"Saurabh",
""
],
[
"Schwartz",
"Galina",
""
]
] | This article studies the value of information in route choice decisions when a fraction of players have access to high accuracy information about traffic incidents relative to others. To model such environments, we introduce a Bayesian congestion game, in which players have private information about incidents, and each... |
2306.09048 | Shubhada Agrawal | Shubhada Agrawal, Sandeep Juneja, Karthikeyan Shanmugam, Arun Sai
Suggala | Optimal Best-Arm Identification in Bandits with Access to Offline Data | 45 pages, 5 figures | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Learning paradigms based purely on offline data as well as those based solely
on sequential online learning have been well-studied in the literature. In this
paper, we consider combining offline data with online learning, an area less
studied but of obvious practical importance. We consider the stochastic
$K$-armed b... | [
{
"created": "Thu, 15 Jun 2023 11:12:35 GMT",
"version": "v1"
}
] | 2023-06-16 | [
[
"Agrawal",
"Shubhada",
""
],
[
"Juneja",
"Sandeep",
""
],
[
"Shanmugam",
"Karthikeyan",
""
],
[
"Suggala",
"Arun Sai",
""
]
] | Learning paradigms based purely on offline data as well as those based solely on sequential online learning have been well-studied in the literature. In this paper, we consider combining offline data with online learning, an area less studied but of obvious practical importance. We consider the stochastic $K$-armed ban... |
1212.2865 | Martin Kasparick | Gerhard Wunder, Robert F. H. Fischer, Holger Boche, Simon Litsyn,
Jong-Seon No | The PAPR Problem in OFDM Transmission: New Directions for a Long-Lasting
Problem | Accepted for publication in IEEE Signal Processing Magazine | null | 10.1109/MSP.2012.2218138 | null | cs.IT math.IT math.MG math.PR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Peak power control for multicarrier communications has been a long-lasting
problem in signal processing and communications. However, industry and academia
are confronted with new challenges regarding energy efficient system design.
Particularly, the envisioned boost in network energy efficiency (e.g. at least
by a fa... | [
{
"created": "Wed, 12 Dec 2012 16:25:56 GMT",
"version": "v1"
},
{
"created": "Tue, 18 Dec 2012 16:48:50 GMT",
"version": "v2"
}
] | 2016-11-18 | [
[
"Wunder",
"Gerhard",
""
],
[
"Fischer",
"Robert F. H.",
""
],
[
"Boche",
"Holger",
""
],
[
"Litsyn",
"Simon",
""
],
[
"No",
"Jong-Seon",
""
]
] | Peak power control for multicarrier communications has been a long-lasting problem in signal processing and communications. However, industry and academia are confronted with new challenges regarding energy efficient system design. Particularly, the envisioned boost in network energy efficiency (e.g. at least by a fact... |
2108.09108 | Hyeongseok Son | Hyeongseok Son, Junyong Lee, Sunghyun Cho, Seungyong Lee | Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous
Convolutions | Accepted to ICCV 2021 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a novel deep learning approach for single image defocus
deblurring based on inverse kernels. In a defocused image, the blur shapes are
similar among pixels although the blur sizes can spatially vary. To utilize the
property with inverse kernels, we exploit the observation that when only the
size o... | [
{
"created": "Fri, 20 Aug 2021 11:06:19 GMT",
"version": "v1"
}
] | 2021-08-23 | [
[
"Son",
"Hyeongseok",
""
],
[
"Lee",
"Junyong",
""
],
[
"Cho",
"Sunghyun",
""
],
[
"Lee",
"Seungyong",
""
]
] | This paper proposes a novel deep learning approach for single image defocus deblurring based on inverse kernels. In a defocused image, the blur shapes are similar among pixels although the blur sizes can spatially vary. To utilize the property with inverse kernels, we exploit the observation that when only the size of ... |
1208.2261 | Sudarshan Nandy | Sudarshan Nandy, Partha Pratim Sarkar and Achintya Das | Analysis of Statistical Hypothesis based Learning Mechanism for Faster
Crawling | 14 Pages, 7 Figures This paper has been withdrawn by the author due
to a crucial sign error in page no. 3,4,7 and 11. The error is also observed
with equation no in page 10 | International Journal of Artificial Intelligence & Applications
(IJAIA), Vol.3, No.4, July 2012, 117-130 | 10.5121/ijaia.2012.3409 | null | cs.IR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The growth of world-wide-web (WWW) spreads its wings from an intangible
quantities of web-pages to a gigantic hub of web information which gradually
increases the complexity of crawling process in a search engine. A search
engine handles a lot of queries from various parts of this world, and the
answers of it solely ... | [
{
"created": "Fri, 10 Aug 2012 19:43:43 GMT",
"version": "v1"
},
{
"created": "Mon, 13 Aug 2012 05:40:17 GMT",
"version": "v2"
}
] | 2012-08-14 | [
[
"Nandy",
"Sudarshan",
""
],
[
"Sarkar",
"Partha Pratim",
""
],
[
"Das",
"Achintya",
""
]
] | The growth of world-wide-web (WWW) spreads its wings from an intangible quantities of web-pages to a gigantic hub of web information which gradually increases the complexity of crawling process in a search engine. A search engine handles a lot of queries from various parts of this world, and the answers of it solely de... |
2208.04125 | Haoye Tian | Haoye Tian, Xunzhu Tang, Andrew Habib, Shangwen Wang, Kui Liu, Xin
Xia, Jacques Klein, Tegawend\'e F. Bissyand\'e | Is this Change the Answer to that Problem? Correlating Descriptions of
Bug and Code Changes for Evaluating Patch Correctness | null | null | 10.1145/3551349.3556914 | null | cs.SE cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we propose a novel perspective to the problem of patch
correctness assessment: a correct patch implements changes that "answer" to a
problem posed by buggy behaviour. Concretely, we turn the patch correctness
assessment into a Question Answering problem. To tackle this problem, our
intuition is that nat... | [
{
"created": "Mon, 8 Aug 2022 13:32:58 GMT",
"version": "v1"
},
{
"created": "Thu, 1 Sep 2022 08:37:38 GMT",
"version": "v2"
}
] | 2022-09-02 | [
[
"Tian",
"Haoye",
""
],
[
"Tang",
"Xunzhu",
""
],
[
"Habib",
"Andrew",
""
],
[
"Wang",
"Shangwen",
""
],
[
"Liu",
"Kui",
""
],
[
"Xia",
"Xin",
""
],
[
"Klein",
"Jacques",
""
],
[
"Bissyandé",
"Te... | In this work, we propose a novel perspective to the problem of patch correctness assessment: a correct patch implements changes that "answer" to a problem posed by buggy behaviour. Concretely, we turn the patch correctness assessment into a Question Answering problem. To tackle this problem, our intuition is that natur... |
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