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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2303.09092 | Ian Porada | Ian Porada, Alexandra Olteanu, Kaheer Suleman, Adam Trischler, Jackie
Chi Kit Cheung | Challenges to Evaluating the Generalization of Coreference Resolution
Models: A Measurement Modeling Perspective | ACL Findings 2024 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | It is increasingly common to evaluate the same coreference resolution (CR)
model on multiple datasets. Do these multi-dataset evaluations allow us to draw
meaningful conclusions about model generalization? Or, do they rather reflect
the idiosyncrasies of a particular experimental setup (e.g., the specific
datasets us... | [
{
"created": "Thu, 16 Mar 2023 05:32:02 GMT",
"version": "v1"
},
{
"created": "Tue, 18 Jun 2024 16:19:36 GMT",
"version": "v2"
}
] | 2024-06-19 | [
[
"Porada",
"Ian",
""
],
[
"Olteanu",
"Alexandra",
""
],
[
"Suleman",
"Kaheer",
""
],
[
"Trischler",
"Adam",
""
],
[
"Cheung",
"Jackie Chi Kit",
""
]
] | It is increasingly common to evaluate the same coreference resolution (CR) model on multiple datasets. Do these multi-dataset evaluations allow us to draw meaningful conclusions about model generalization? Or, do they rather reflect the idiosyncrasies of a particular experimental setup (e.g., the specific datasets used... |
2207.01498 | Heinrich S\"obke | Sebastian Damek, Heinrich S\"obke, Franziska Weise and Maria Reichelt | (Meta) Competences for Digital Practice: Educational Scenarios for the
Workplace of the Future Exemplified by Building Information Modeling Work
Processes | 14 pages, 6 figures, 3 tables | null | 10.3390/knowledge2030027 | null | cs.CY | http://creativecommons.org/licenses/by/4.0/ | Workplaces of the future require advanced competence profiles from employees,
not least due to new options for teleworking and new complex digital tools. The
acquisition of advanced competence profiles is to be addressed by formal
education. For example, the method of Building Information Modeling (BIM) aims
at digit... | [
{
"created": "Thu, 9 Jun 2022 18:33:14 GMT",
"version": "v1"
}
] | 2022-09-05 | [
[
"Damek",
"Sebastian",
""
],
[
"Söbke",
"Heinrich",
""
],
[
"Weise",
"Franziska",
""
],
[
"Reichelt",
"Maria",
""
]
] | Workplaces of the future require advanced competence profiles from employees, not least due to new options for teleworking and new complex digital tools. The acquisition of advanced competence profiles is to be addressed by formal education. For example, the method of Building Information Modeling (BIM) aims at digitiz... |
1702.05192 | Mohammad-Parsa Hosseini | Mohammad-Parsa Hosseini, Hamid Soltanian-Zadeh, Kost Elisevich, and
Dario Pompili | Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure
Prediction | IEEE Global Conference on Signal and Information Processing
(GlobalSIP), Greater Washington, DC, Dec 7-9, 2016 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Developing a Brain-Computer Interface~(BCI) for seizure prediction can help
epileptic patients have a better quality of life. However, there are many
difficulties and challenges in developing such a system as a real-life support
for patients. Because of the nonstationary nature of EEG signals, normal and
seizure patt... | [
{
"created": "Fri, 17 Feb 2017 00:00:38 GMT",
"version": "v1"
}
] | 2017-02-20 | [
[
"Hosseini",
"Mohammad-Parsa",
""
],
[
"Soltanian-Zadeh",
"Hamid",
""
],
[
"Elisevich",
"Kost",
""
],
[
"Pompili",
"Dario",
""
]
] | Developing a Brain-Computer Interface~(BCI) for seizure prediction can help epileptic patients have a better quality of life. However, there are many difficulties and challenges in developing such a system as a real-life support for patients. Because of the nonstationary nature of EEG signals, normal and seizure patter... |
2107.12193 | Muhammad Bilal | Muhammad Basit Umair, Zeshan Iqbal, Muhammad Bilal, Tarik Adnan
Almohamad, Jamel Nebhen, Raja Majid Mehmood | An Efficient Internet Traffic Classification System Using Deep Learning
for IoT | 14 pages, 4 figures, 11 tables, Accepted for publication in
CMC-Computers, Materials & Continua | CMC-Computers, Materials and Continua, 71(1), 407-422, 2022 | 10.32604/cmc.2022.020727 | null | cs.NI | http://creativecommons.org/licenses/by/4.0/ | Internet of Things (IoT) defines a network of devices connected to the
internet and sharing a massive amount of data between each other and a central
location. These IoT devices are connected to a network therefore prone to
attacks. Various management tasks and network operations such as security,
intrusion detection... | [
{
"created": "Mon, 26 Jul 2021 12:58:15 GMT",
"version": "v1"
}
] | 2021-11-16 | [
[
"Umair",
"Muhammad Basit",
""
],
[
"Iqbal",
"Zeshan",
""
],
[
"Bilal",
"Muhammad",
""
],
[
"Almohamad",
"Tarik Adnan",
""
],
[
"Nebhen",
"Jamel",
""
],
[
"Mehmood",
"Raja Majid",
""
]
] | Internet of Things (IoT) defines a network of devices connected to the internet and sharing a massive amount of data between each other and a central location. These IoT devices are connected to a network therefore prone to attacks. Various management tasks and network operations such as security, intrusion detection, ... |
1808.08622 | James Ferguson | James Ferguson, Colin Lockard, Daniel S. Weld, Hannaneh Hajishirzi | Semi-Supervised Event Extraction with Paraphrase Clusters | NAACL 2018 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Supervised event extraction systems are limited in their accuracy due to the
lack of available training data. We present a method for self-training event
extraction systems by bootstrapping additional training data. This is done by
taking advantage of the occurrence of multiple mentions of the same event
instances ac... | [
{
"created": "Sun, 26 Aug 2018 21:12:43 GMT",
"version": "v1"
}
] | 2018-08-28 | [
[
"Ferguson",
"James",
""
],
[
"Lockard",
"Colin",
""
],
[
"Weld",
"Daniel S.",
""
],
[
"Hajishirzi",
"Hannaneh",
""
]
] | Supervised event extraction systems are limited in their accuracy due to the lack of available training data. We present a method for self-training event extraction systems by bootstrapping additional training data. This is done by taking advantage of the occurrence of multiple mentions of the same event instances acro... |
2009.07834 | Andriy Miranskyy | William Pourmajidi and Lei Zhang and John Steinbacher and Tony Erwin
and Andriy Miranskyy | Immutable Log Storage as a Service on Private and Public Blockchains | Accepted for publication in IEEE Transactions on Services Computing | null | 10.1109/TSC.2021.3120690 | null | cs.SE cs.CR cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Service Level Agreements (SLA) are employed to ensure the performance of
Cloud solutions. When a component fails, the importance of logs increases
significantly. All departments may turn to logs to determine the cause of the
issue and find the party at fault. The party at fault may be motivated to
tamper with the log... | [
{
"created": "Wed, 16 Sep 2020 17:51:48 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Oct 2021 14:16:37 GMT",
"version": "v2"
}
] | 2021-11-03 | [
[
"Pourmajidi",
"William",
""
],
[
"Zhang",
"Lei",
""
],
[
"Steinbacher",
"John",
""
],
[
"Erwin",
"Tony",
""
],
[
"Miranskyy",
"Andriy",
""
]
] | Service Level Agreements (SLA) are employed to ensure the performance of Cloud solutions. When a component fails, the importance of logs increases significantly. All departments may turn to logs to determine the cause of the issue and find the party at fault. The party at fault may be motivated to tamper with the logs ... |
2003.11650 | Asia Biega | Asia J. Biega, Fernando Diaz, Michael D. Ekstrand, Sebastian Kohlmeier | Overview of the TREC 2019 Fair Ranking Track | Published in The Twenty-Eighth Text REtrieval Conference Proceedings
(TREC 2019) | null | null | null | cs.IR cs.DL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The goal of the TREC Fair Ranking track was to develop a benchmark for
evaluating retrieval systems in terms of fairness to different content
providers in addition to classic notions of relevance. As part of the
benchmark, we defined standardized fairness metrics with evaluation protocols
and released a dataset for t... | [
{
"created": "Wed, 25 Mar 2020 21:34:58 GMT",
"version": "v1"
}
] | 2020-03-27 | [
[
"Biega",
"Asia J.",
""
],
[
"Diaz",
"Fernando",
""
],
[
"Ekstrand",
"Michael D.",
""
],
[
"Kohlmeier",
"Sebastian",
""
]
] | The goal of the TREC Fair Ranking track was to develop a benchmark for evaluating retrieval systems in terms of fairness to different content providers in addition to classic notions of relevance. As part of the benchmark, we defined standardized fairness metrics with evaluation protocols and released a dataset for the... |
1712.07195 | Wei Shen | Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan Yuille | Deep Regression Forests for Age Estimation | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Age estimation from facial images is typically cast as a nonlinear regression
problem. The main challenge of this problem is the facial feature space w.r.t.
ages is heterogeneous, due to the large variation in facial appearance across
different persons of the same age and the non-stationary property of aging
patterns... | [
{
"created": "Tue, 19 Dec 2017 20:42:15 GMT",
"version": "v1"
}
] | 2017-12-21 | [
[
"Shen",
"Wei",
""
],
[
"Guo",
"Yilu",
""
],
[
"Wang",
"Yan",
""
],
[
"Zhao",
"Kai",
""
],
[
"Wang",
"Bo",
""
],
[
"Yuille",
"Alan",
""
]
] | Age estimation from facial images is typically cast as a nonlinear regression problem. The main challenge of this problem is the facial feature space w.r.t. ages is heterogeneous, due to the large variation in facial appearance across different persons of the same age and the non-stationary property of aging patterns. ... |
1902.01437 | Junhao Li | Junhao Li, Hang Zhang | Blaze: Simplified High Performance Cluster Computing | null | null | null | null | cs.DC cs.AI cs.LG cs.PF | http://creativecommons.org/licenses/by-nc-sa/4.0/ | MapReduce and its variants have significantly simplified and accelerated the
process of developing parallel programs. However, most MapReduce
implementations focus on data-intensive tasks while many real-world tasks are
compute intensive and their data can fit distributedly into the memory. For
these tasks, the speed... | [
{
"created": "Mon, 4 Feb 2019 19:28:15 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Feb 2019 02:59:19 GMT",
"version": "v2"
}
] | 2019-02-07 | [
[
"Li",
"Junhao",
""
],
[
"Zhang",
"Hang",
""
]
] | MapReduce and its variants have significantly simplified and accelerated the process of developing parallel programs. However, most MapReduce implementations focus on data-intensive tasks while many real-world tasks are compute intensive and their data can fit distributedly into the memory. For these tasks, the speed o... |
1612.01655 | Xin Yang | Xin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann
Heng | Fine-grained Recurrent Neural Networks for Automatic Prostate
Segmentation in Ultrasound Images | To appear in AAAI Conference 2017 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Boundary incompleteness raises great challenges to automatic prostate
segmentation in ultrasound images. Shape prior can provide strong guidance in
estimating the missing boundary, but traditional shape models often suffer from
hand-crafted descriptors and local information loss in the fitting procedure.
In this pape... | [
{
"created": "Tue, 6 Dec 2016 03:56:07 GMT",
"version": "v1"
}
] | 2016-12-07 | [
[
"Yang",
"Xin",
""
],
[
"Yu",
"Lequan",
""
],
[
"Wu",
"Lingyun",
""
],
[
"Wang",
"Yi",
""
],
[
"Ni",
"Dong",
""
],
[
"Qin",
"Jing",
""
],
[
"Heng",
"Pheng-Ann",
""
]
] | Boundary incompleteness raises great challenges to automatic prostate segmentation in ultrasound images. Shape prior can provide strong guidance in estimating the missing boundary, but traditional shape models often suffer from hand-crafted descriptors and local information loss in the fitting procedure. In this paper,... |
1306.5726 | Kuldeep Meel | Supratik Chakraborty and Kuldeep S. Meel and Moshe Y. Vardi | A Scalable Approximate Model Counter | Conference version will appear in CP 2013 | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Propositional model counting} (#SAT), i.e., counting the number of satisfying
assignments of a propositional formula, is a problem of significant theoretical
and practical interest. Due to the inherent complexity of the problem,
approximate model counting, which counts the number of satisfying assignments
to within g... | [
{
"created": "Mon, 24 Jun 2013 19:51:33 GMT",
"version": "v1"
},
{
"created": "Tue, 25 Jun 2013 18:41:58 GMT",
"version": "v2"
},
{
"created": "Sun, 7 Jul 2013 05:40:29 GMT",
"version": "v3"
}
] | 2013-07-09 | [
[
"Chakraborty",
"Supratik",
""
],
[
"Meel",
"Kuldeep S.",
""
],
[
"Vardi",
"Moshe Y.",
""
]
] | Propositional model counting} (#SAT), i.e., counting the number of satisfying assignments of a propositional formula, is a problem of significant theoretical and practical interest. Due to the inherent complexity of the problem, approximate model counting, which counts the number of satisfying assignments to within giv... |
2010.01657 | Wei-Jen Ko | Wei-Jen Ko and Te-Yuan Chen and Yiyan Huang and Greg Durrett and Junyi
Jessy Li | Inquisitive Question Generation for High Level Text Comprehension | EMNLP 2020 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Inquisitive probing questions come naturally to humans in a variety of
settings, but is a challenging task for automatic systems. One natural type of
question to ask tries to fill a gap in knowledge during text comprehension,
like reading a news article: we might ask about background information, deeper
reasons behin... | [
{
"created": "Sun, 4 Oct 2020 19:03:39 GMT",
"version": "v1"
}
] | 2020-10-06 | [
[
"Ko",
"Wei-Jen",
""
],
[
"Chen",
"Te-Yuan",
""
],
[
"Huang",
"Yiyan",
""
],
[
"Durrett",
"Greg",
""
],
[
"Li",
"Junyi Jessy",
""
]
] | Inquisitive probing questions come naturally to humans in a variety of settings, but is a challenging task for automatic systems. One natural type of question to ask tries to fill a gap in knowledge during text comprehension, like reading a news article: we might ask about background information, deeper reasons behind ... |
1401.1913 | J\"urgen M\"unch | Adam Trendowicz, Michael Kl\"as, Constanza Lampasona, J\"urgen
M\"unch, Christian K\"orner, Matthias Saft | Model-based Product Quality Evaluation with Multi-Criteria Decision
Analysis | 18 pages. The final publication is available at
http://www.shaker.de/de/content/catalogue/index.asp?
lang=de&ID=8&ISBN=978-3-8322-9618-6 | Proceedings of the International Conference on Software Process
and Product Measurement (IWSM/MetriKon/Mensura 2010), pages 3-20, Stuttgart,
Germany, November 10-12 2010 | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The ability to develop or evolve software or software-based systems/services
with defined and guaranteed quality in a predictable way is becoming
increasingly important. Essential - though not exclusive - prerequisites for
this are the ability to model the relevant quality properties appropriately and
the capability ... | [
{
"created": "Thu, 9 Jan 2014 07:47:58 GMT",
"version": "v1"
}
] | 2014-01-10 | [
[
"Trendowicz",
"Adam",
""
],
[
"Kläs",
"Michael",
""
],
[
"Lampasona",
"Constanza",
""
],
[
"Münch",
"Jürgen",
""
],
[
"Körner",
"Christian",
""
],
[
"Saft",
"Matthias",
""
]
] | The ability to develop or evolve software or software-based systems/services with defined and guaranteed quality in a predictable way is becoming increasingly important. Essential - though not exclusive - prerequisites for this are the ability to model the relevant quality properties appropriately and the capability to... |
2012.13976 | Raghavendra Addanki | Raghavendra Addanki, Andrew McGregor, Cameron Musco | Intervention Efficient Algorithms for Approximate Learning of Causal
Graphs | To appear, International Conference on Algorithmic Learning
Theory(ALT) 2021 | null | null | null | cs.DS cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of learning the causal relationships between a set of
observed variables in the presence of latents, while minimizing the cost of
interventions on the observed variables. We assume access to an undirected
graph $G$ on the observed variables whose edges represent either all direct
causal relations... | [
{
"created": "Sun, 27 Dec 2020 17:08:46 GMT",
"version": "v1"
}
] | 2020-12-29 | [
[
"Addanki",
"Raghavendra",
""
],
[
"McGregor",
"Andrew",
""
],
[
"Musco",
"Cameron",
""
]
] | We study the problem of learning the causal relationships between a set of observed variables in the presence of latents, while minimizing the cost of interventions on the observed variables. We assume access to an undirected graph $G$ on the observed variables whose edges represent either all direct causal relationshi... |
1707.02647 | Mohammad Motamedi | Mohammad Motamedi, Daniel Fong, and Soheil Ghiasi | Cappuccino: Efficient Inference Software Synthesis for Mobile
System-on-Chips | 4 pages, 7 figures | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Convolutional Neural Networks (CNNs) exhibit remarkable performance in
various machine learning tasks. As sensor-equipped Internet of Things (IoT)
devices permeate into every aspect of modern life, the ability to execute CNN
inference, a computationally intensive application, on resource constrained
devices has becom... | [
{
"created": "Sun, 9 Jul 2017 22:03:05 GMT",
"version": "v1"
}
] | 2017-07-11 | [
[
"Motamedi",
"Mohammad",
""
],
[
"Fong",
"Daniel",
""
],
[
"Ghiasi",
"Soheil",
""
]
] | Convolutional Neural Networks (CNNs) exhibit remarkable performance in various machine learning tasks. As sensor-equipped Internet of Things (IoT) devices permeate into every aspect of modern life, the ability to execute CNN inference, a computationally intensive application, on resource constrained devices has become ... |
2407.21762 | Mei Aoran | Aoran Mei, Guo-Niu Zhu, Huaxiang Zhang, and Zhongxue Gan | ReplanVLM: Replanning Robotic Tasks with Visual Language Models | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large language models (LLMs) have gained increasing popularity in robotic
task planning due to their exceptional abilities in text analytics and
generation, as well as their broad knowledge of the world. However, they fall
short in decoding visual cues. LLMs have limited direct perception of the
world, which leads to... | [
{
"created": "Wed, 31 Jul 2024 17:31:01 GMT",
"version": "v1"
}
] | 2024-08-01 | [
[
"Mei",
"Aoran",
""
],
[
"Zhu",
"Guo-Niu",
""
],
[
"Zhang",
"Huaxiang",
""
],
[
"Gan",
"Zhongxue",
""
]
] | Large language models (LLMs) have gained increasing popularity in robotic task planning due to their exceptional abilities in text analytics and generation, as well as their broad knowledge of the world. However, they fall short in decoding visual cues. LLMs have limited direct perception of the world, which leads to a... |
2407.21374 | Eran Bamani | Eran Bamani Beeri, Eden Nissinman, Avishai Sintov | Dynamic Gesture Recognition in Ultra-Range Distance for Effective
Human-Robot Interaction | null | null | null | null | cs.RO cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | This paper presents a novel approach for ultra-range gesture recognition,
addressing Human-Robot Interaction (HRI) challenges over extended distances. By
leveraging human gestures in video data, we propose the Temporal-Spatiotemporal
Fusion Network (TSFN) model that surpasses the limitations of current methods,
enabl... | [
{
"created": "Wed, 31 Jul 2024 06:56:46 GMT",
"version": "v1"
}
] | 2024-08-01 | [
[
"Beeri",
"Eran Bamani",
""
],
[
"Nissinman",
"Eden",
""
],
[
"Sintov",
"Avishai",
""
]
] | This paper presents a novel approach for ultra-range gesture recognition, addressing Human-Robot Interaction (HRI) challenges over extended distances. By leveraging human gestures in video data, we propose the Temporal-Spatiotemporal Fusion Network (TSFN) model that surpasses the limitations of current methods, enablin... |
2109.14376 | Erez Shmueli Dr. | Dana Pessach, Tamir Tassa, Erez Shmueli | Fairness-Driven Private Collaborative Machine Learning | null | null | null | null | cs.LG cs.CR cs.CY | http://creativecommons.org/licenses/by/4.0/ | The performance of machine learning algorithms can be considerably improved
when trained over larger datasets. In many domains, such as medicine and
finance, larger datasets can be obtained if several parties, each having access
to limited amounts of data, collaborate and share their data. However, such
data sharing ... | [
{
"created": "Wed, 29 Sep 2021 12:22:00 GMT",
"version": "v1"
}
] | 2021-09-30 | [
[
"Pessach",
"Dana",
""
],
[
"Tassa",
"Tamir",
""
],
[
"Shmueli",
"Erez",
""
]
] | The performance of machine learning algorithms can be considerably improved when trained over larger datasets. In many domains, such as medicine and finance, larger datasets can be obtained if several parties, each having access to limited amounts of data, collaborate and share their data. However, such data sharing in... |
2407.16539 | Yehonatan Zion | Yehonatan Zion, Porat Aharon, Ran Dubin, Amit Dvir, Chen Hajaj | Enhancing Encrypted Internet Traffic Classification Through Advanced
Data Augmentation Techniques | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The increasing popularity of online services has made Internet Traffic
Classification a critical field of study. However, the rapid development of
internet protocols and encryption limits usable data availability. This paper
addresses the challenges of classifying encrypted internet traffic, focusing on
the scarcity ... | [
{
"created": "Tue, 23 Jul 2024 14:49:17 GMT",
"version": "v1"
}
] | 2024-07-24 | [
[
"Zion",
"Yehonatan",
""
],
[
"Aharon",
"Porat",
""
],
[
"Dubin",
"Ran",
""
],
[
"Dvir",
"Amit",
""
],
[
"Hajaj",
"Chen",
""
]
] | The increasing popularity of online services has made Internet Traffic Classification a critical field of study. However, the rapid development of internet protocols and encryption limits usable data availability. This paper addresses the challenges of classifying encrypted internet traffic, focusing on the scarcity of... |
2310.14605 | Fei Zhao | Fei Zhao, Chunhui Li, Zhen Wu, Yawen Ouyang, Jianbing Zhang, Xinyu Dai | M2DF: Multi-grained Multi-curriculum Denoising Framework for Multimodal
Aspect-based Sentiment Analysis | Accepted by EMNLP 2023 | null | null | null | cs.CL cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multimodal Aspect-based Sentiment Analysis (MABSA) is a fine-grained
Sentiment Analysis task, which has attracted growing research interests
recently. Existing work mainly utilizes image information to improve the
performance of MABSA task. However, most of the studies overestimate the
importance of images since ther... | [
{
"created": "Mon, 23 Oct 2023 06:22:39 GMT",
"version": "v1"
}
] | 2023-10-24 | [
[
"Zhao",
"Fei",
""
],
[
"Li",
"Chunhui",
""
],
[
"Wu",
"Zhen",
""
],
[
"Ouyang",
"Yawen",
""
],
[
"Zhang",
"Jianbing",
""
],
[
"Dai",
"Xinyu",
""
]
] | Multimodal Aspect-based Sentiment Analysis (MABSA) is a fine-grained Sentiment Analysis task, which has attracted growing research interests recently. Existing work mainly utilizes image information to improve the performance of MABSA task. However, most of the studies overestimate the importance of images since there ... |
2110.04616 | Rogelio Andrade Mancisidor | Rogelio A. Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert
Jenssen | Discriminative Multimodal Learning via Conditional Priors in Generative
Models | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep generative models with latent variables have been used lately to learn
joint representations and generative processes from multi-modal data. These two
learning mechanisms can, however, conflict with each other and representations
can fail to embed information on the data modalities. This research studies the
rea... | [
{
"created": "Sat, 9 Oct 2021 17:22:24 GMT",
"version": "v1"
},
{
"created": "Tue, 26 Jul 2022 13:07:34 GMT",
"version": "v2"
},
{
"created": "Sat, 21 Jan 2023 21:49:58 GMT",
"version": "v3"
}
] | 2023-01-24 | [
[
"Mancisidor",
"Rogelio A.",
""
],
[
"Kampffmeyer",
"Michael",
""
],
[
"Aas",
"Kjersti",
""
],
[
"Jenssen",
"Robert",
""
]
] | Deep generative models with latent variables have been used lately to learn joint representations and generative processes from multi-modal data. These two learning mechanisms can, however, conflict with each other and representations can fail to embed information on the data modalities. This research studies the reali... |
1912.07712 | Marco Ciccone | Andrea Celli, Marco Ciccone, Raffaele Bongo, Nicola Gatti | Coordination in Adversarial Sequential Team Games via Multi-Agent Deep
Reinforcement Learning | Preliminary version | null | null | null | cs.AI cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many real-world applications involve teams of agents that have to coordinate
their actions to reach a common goal against potential adversaries. This paper
focuses on zero-sum games where a team of players faces an opponent, as is the
case, for example, in Bridge, collusion in poker, and collusion in bidding. The
pos... | [
{
"created": "Mon, 16 Dec 2019 21:30:04 GMT",
"version": "v1"
}
] | 2019-12-18 | [
[
"Celli",
"Andrea",
""
],
[
"Ciccone",
"Marco",
""
],
[
"Bongo",
"Raffaele",
""
],
[
"Gatti",
"Nicola",
""
]
] | Many real-world applications involve teams of agents that have to coordinate their actions to reach a common goal against potential adversaries. This paper focuses on zero-sum games where a team of players faces an opponent, as is the case, for example, in Bridge, collusion in poker, and collusion in bidding. The possi... |
1306.2550 | Georg B\"ocherer | Georg B\"ocherer and Rana Ali Amjad | Fixed-to-Variable Length Resolution Coding for Target Distributions | Essentially the ITW 2013 final version. Compared to v1, minor typos
were corrected and Fig. 1 with an example variable length encoder was added | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The number of random bits required to approximate a target distribution in
terms of un-normalized informational divergence is considered. It is shown that
for a variable-to-variable length encoder, this number is lower bounded by the
entropy of the target distribution. A fixed-to-variable length encoder is
constructe... | [
{
"created": "Tue, 11 Jun 2013 15:18:13 GMT",
"version": "v1"
},
{
"created": "Thu, 1 Aug 2013 14:01:29 GMT",
"version": "v2"
}
] | 2013-08-02 | [
[
"Böcherer",
"Georg",
""
],
[
"Amjad",
"Rana Ali",
""
]
] | The number of random bits required to approximate a target distribution in terms of un-normalized informational divergence is considered. It is shown that for a variable-to-variable length encoder, this number is lower bounded by the entropy of the target distribution. A fixed-to-variable length encoder is constructed ... |
2301.01100 | Zhisheng Zhong | Zhisheng Zhong, Jiequan Cui, Yibo Yang, Xiaoyang Wu, Xiaojuan Qi,
Xiangyu Zhang, Jiaya Jia | Understanding Imbalanced Semantic Segmentation Through Neural Collapse | Technical Report | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A recent study has shown a phenomenon called neural collapse in that the
within-class means of features and the classifier weight vectors converge to
the vertices of a simplex equiangular tight frame at the terminal phase of
training for classification. In this paper, we explore the corresponding
structures of the la... | [
{
"created": "Tue, 3 Jan 2023 13:51:51 GMT",
"version": "v1"
}
] | 2023-01-04 | [
[
"Zhong",
"Zhisheng",
""
],
[
"Cui",
"Jiequan",
""
],
[
"Yang",
"Yibo",
""
],
[
"Wu",
"Xiaoyang",
""
],
[
"Qi",
"Xiaojuan",
""
],
[
"Zhang",
"Xiangyu",
""
],
[
"Jia",
"Jiaya",
""
]
] | A recent study has shown a phenomenon called neural collapse in that the within-class means of features and the classifier weight vectors converge to the vertices of a simplex equiangular tight frame at the terminal phase of training for classification. In this paper, we explore the corresponding structures of the last... |
2403.17327 | Jeong-Yoon Kim | Jeong-Yoon Kim, Seung-Ho Lee | Accuracy enhancement method for speech emotion recognition from
spectrogram using temporal frequency correlation and positional information
learning through knowledge transfer | null | null | null | null | cs.SD cs.CV eess.AS | http://creativecommons.org/licenses/by/4.0/ | In this paper, we propose a method to improve the accuracy of speech emotion
recognition (SER) by using vision transformer (ViT) to attend to the
correlation of frequency (y-axis) with time (x-axis) in spectrogram and
transferring positional information between ViT through knowledge transfer. The
proposed method has ... | [
{
"created": "Tue, 26 Mar 2024 02:21:36 GMT",
"version": "v1"
}
] | 2024-03-27 | [
[
"Kim",
"Jeong-Yoon",
""
],
[
"Lee",
"Seung-Ho",
""
]
] | In this paper, we propose a method to improve the accuracy of speech emotion recognition (SER) by using vision transformer (ViT) to attend to the correlation of frequency (y-axis) with time (x-axis) in spectrogram and transferring positional information between ViT through knowledge transfer. The proposed method has th... |
2406.04485 | Dongfu Jiang | Dongfu Jiang, Max Ku, Tianle Li, Yuansheng Ni, Shizhuo Sun, Rongqi
Fan, Wenhu Chen | GenAI Arena: An Open Evaluation Platform for Generative Models | 9 pages,7 figures | null | null | null | cs.AI cs.CV | http://creativecommons.org/licenses/by/4.0/ | Generative AI has made remarkable strides to revolutionize fields such as
image and video generation. These advancements are driven by innovative
algorithms, architecture, and data. However, the rapid proliferation of
generative models has highlighted a critical gap: the absence of trustworthy
evaluation metrics. Cur... | [
{
"created": "Thu, 6 Jun 2024 20:15:42 GMT",
"version": "v1"
},
{
"created": "Mon, 5 Aug 2024 07:18:25 GMT",
"version": "v2"
},
{
"created": "Tue, 6 Aug 2024 16:35:50 GMT",
"version": "v3"
}
] | 2024-08-07 | [
[
"Jiang",
"Dongfu",
""
],
[
"Ku",
"Max",
""
],
[
"Li",
"Tianle",
""
],
[
"Ni",
"Yuansheng",
""
],
[
"Sun",
"Shizhuo",
""
],
[
"Fan",
"Rongqi",
""
],
[
"Chen",
"Wenhu",
""
]
] | Generative AI has made remarkable strides to revolutionize fields such as image and video generation. These advancements are driven by innovative algorithms, architecture, and data. However, the rapid proliferation of generative models has highlighted a critical gap: the absence of trustworthy evaluation metrics. Curre... |
2106.15433 | Bla\v{z} \v{S}krlj | Timen Stepi\v{s}nik Perdih, Nada Lavra\v{c}, Bla\v{z} \v{S}krlj | Semantic Reasoning from Model-Agnostic Explanations | null | null | 10.1109/SAMI50585.2021.9378668 | null | cs.AI | http://creativecommons.org/publicdomain/zero/1.0/ | With the wide adoption of black-box models, instance-based \emph{post hoc}
explanation tools, such as LIME and SHAP became increasingly popular. These
tools produce explanations, pinpointing contributions of key features
associated with a given prediction. However, the obtained explanations remain
at the raw feature ... | [
{
"created": "Tue, 29 Jun 2021 14:03:47 GMT",
"version": "v1"
}
] | 2021-06-30 | [
[
"Perdih",
"Timen Stepišnik",
""
],
[
"Lavrač",
"Nada",
""
],
[
"Škrlj",
"Blaž",
""
]
] | With the wide adoption of black-box models, instance-based \emph{post hoc} explanation tools, such as LIME and SHAP became increasingly popular. These tools produce explanations, pinpointing contributions of key features associated with a given prediction. However, the obtained explanations remain at the raw feature le... |
1503.08345 | Pravendra Singh | Pravendra Singh | Implementing an intelligent version of the classical sliding-puzzle game
for unix terminals using Golang's concurrency primitives | 8 pages | null | null | null | cs.AI | http://creativecommons.org/licenses/by/4.0/ | An intelligent version of the sliding-puzzle game is developed using the new
Go programming language, which uses a concurrent version of the A* Informed
Search Algorithm to power solver-bot that runs in the background. The game runs
in computer system's terminals. Mainly, it was developed for UNIX-type systems
but it... | [
{
"created": "Sat, 28 Mar 2015 20:35:02 GMT",
"version": "v1"
},
{
"created": "Sat, 22 Aug 2015 17:07:32 GMT",
"version": "v2"
}
] | 2015-08-25 | [
[
"Singh",
"Pravendra",
""
]
] | An intelligent version of the sliding-puzzle game is developed using the new Go programming language, which uses a concurrent version of the A* Informed Search Algorithm to power solver-bot that runs in the background. The game runs in computer system's terminals. Mainly, it was developed for UNIX-type systems but it w... |
2201.09656 | Alessandro Benfenati | Alessandro Benfenati and Alessio Marta | A singular Riemannian geometry approach to Deep Neural Networks I.
Theoretical foundations | null | null | null | null | cs.LG cs.NE math.MG | http://creativecommons.org/licenses/by/4.0/ | Deep Neural Networks are widely used for solving complex problems in several
scientific areas, such as speech recognition, machine translation, image
analysis. The strategies employed to investigate their theoretical properties
mainly rely on Euclidean geometry, but in the last years new approaches based
on Riemannia... | [
{
"created": "Fri, 17 Dec 2021 11:43:30 GMT",
"version": "v1"
},
{
"created": "Fri, 23 Sep 2022 10:19:09 GMT",
"version": "v2"
}
] | 2022-09-26 | [
[
"Benfenati",
"Alessandro",
""
],
[
"Marta",
"Alessio",
""
]
] | Deep Neural Networks are widely used for solving complex problems in several scientific areas, such as speech recognition, machine translation, image analysis. The strategies employed to investigate their theoretical properties mainly rely on Euclidean geometry, but in the last years new approaches based on Riemannian ... |
2310.01164 | Lei Li | Lei Li | Segment Any Building | CGI 2023 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The task of identifying and segmenting buildings within remote sensing
imagery has perennially stood at the forefront of scholarly investigations.
This manuscript accentuates the potency of harnessing diversified datasets in
tandem with cutting-edge representation learning paradigms for building
segmentation in such ... | [
{
"created": "Mon, 2 Oct 2023 12:49:20 GMT",
"version": "v1"
},
{
"created": "Mon, 16 Oct 2023 17:53:55 GMT",
"version": "v2"
},
{
"created": "Wed, 25 Oct 2023 11:28:35 GMT",
"version": "v3"
},
{
"created": "Thu, 26 Oct 2023 17:08:34 GMT",
"version": "v4"
}
] | 2023-10-27 | [
[
"Li",
"Lei",
""
]
] | The task of identifying and segmenting buildings within remote sensing imagery has perennially stood at the forefront of scholarly investigations. This manuscript accentuates the potency of harnessing diversified datasets in tandem with cutting-edge representation learning paradigms for building segmentation in such im... |
2005.04308 | Jian Xu | Jian Xu, Sunkyu Kim, Min Song, Minbyul Jeong, Donghyeon Kim, Jaewoo
Kang, Justin F. Rousseau, Xin Li, Weijia Xu, Vetle I. Torvik, Yi Bu, Chongyan
Chen, Islam Akef Ebeid, Daifeng Li, Ying Ding | Building a PubMed knowledge graph | 19 pages, 5 figures, 14 tables | null | null | null | cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | PubMed is an essential resource for the medical domain, but useful concepts
are either difficult to extract or are ambiguated, which has significantly
hindered knowledge discovery. To address this issue, we constructed a PubMed
knowledge graph (PKG) by extracting bio-entities from 29 million PubMed
abstracts, disambi... | [
{
"created": "Fri, 8 May 2020 22:36:49 GMT",
"version": "v1"
},
{
"created": "Fri, 15 May 2020 06:50:39 GMT",
"version": "v2"
}
] | 2020-05-18 | [
[
"Xu",
"Jian",
""
],
[
"Kim",
"Sunkyu",
""
],
[
"Song",
"Min",
""
],
[
"Jeong",
"Minbyul",
""
],
[
"Kim",
"Donghyeon",
""
],
[
"Kang",
"Jaewoo",
""
],
[
"Rousseau",
"Justin F.",
""
],
[
"Li",
"Xi... | PubMed is an essential resource for the medical domain, but useful concepts are either difficult to extract or are ambiguated, which has significantly hindered knowledge discovery. To address this issue, we constructed a PubMed knowledge graph (PKG) by extracting bio-entities from 29 million PubMed abstracts, disambigu... |
1411.4568 | Yannick Verdie | Yannick Verdie, Kwang Moo Yi, Pascal Fua, Vincent Lepetit | TILDE: A Temporally Invariant Learned DEtector | null | null | 10.1109/CVPR.2015.7299165 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a learning-based approach to detect repeatable keypoints under
drastic imaging changes of weather and lighting conditions to which
state-of-the-art keypoint detectors are surprisingly sensitive. We first
identify good keypoint candidates in multiple training images taken from the
same viewpoint. We then ... | [
{
"created": "Mon, 17 Nov 2014 17:44:21 GMT",
"version": "v1"
},
{
"created": "Wed, 11 Feb 2015 14:22:39 GMT",
"version": "v2"
},
{
"created": "Thu, 12 Mar 2015 20:07:01 GMT",
"version": "v3"
}
] | 2015-11-16 | [
[
"Verdie",
"Yannick",
""
],
[
"Yi",
"Kwang Moo",
""
],
[
"Fua",
"Pascal",
""
],
[
"Lepetit",
"Vincent",
""
]
] | We introduce a learning-based approach to detect repeatable keypoints under drastic imaging changes of weather and lighting conditions to which state-of-the-art keypoint detectors are surprisingly sensitive. We first identify good keypoint candidates in multiple training images taken from the same viewpoint. We then tr... |
1903.06017 | Hancheng Min | Hancheng Min and Enrique Mallada | Dynamics Concentration of Large-Scale Tightly-Connected Networks | null | null | null | null | cs.SY cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The ability to achieve coordinated behavior --engineered or emergent-- on
networked systems has attracted widespread interest over several fields. This
has led to remarkable advances on the development of a theoretical
understanding of the conditions under which agents within a network can reach
agreement (consensus)... | [
{
"created": "Thu, 14 Mar 2019 14:16:37 GMT",
"version": "v1"
},
{
"created": "Fri, 15 Mar 2019 18:07:03 GMT",
"version": "v2"
},
{
"created": "Tue, 2 Apr 2019 12:29:28 GMT",
"version": "v3"
},
{
"created": "Fri, 12 Apr 2019 16:29:14 GMT",
"version": "v4"
},
{
"cr... | 2019-09-16 | [
[
"Min",
"Hancheng",
""
],
[
"Mallada",
"Enrique",
""
]
] | The ability to achieve coordinated behavior --engineered or emergent-- on networked systems has attracted widespread interest over several fields. This has led to remarkable advances on the development of a theoretical understanding of the conditions under which agents within a network can reach agreement (consensus) o... |
1704.06185 | Huacheng Yu | Josh Alman, Joshua R. Wang, Huacheng Yu | Cell-Probe Lower Bounds from Online Communication Complexity | null | null | null | null | cs.DS cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we introduce an online model for communication complexity.
Analogous to how online algorithms receive their input piece-by-piece, our
model presents one of the players, Bob, his input piece-by-piece, and has the
players Alice and Bob cooperate to compute a result each time before the next
piece is revea... | [
{
"created": "Thu, 20 Apr 2017 15:27:26 GMT",
"version": "v1"
},
{
"created": "Wed, 15 Nov 2017 18:05:06 GMT",
"version": "v2"
}
] | 2017-11-16 | [
[
"Alman",
"Josh",
""
],
[
"Wang",
"Joshua R.",
""
],
[
"Yu",
"Huacheng",
""
]
] | In this work, we introduce an online model for communication complexity. Analogous to how online algorithms receive their input piece-by-piece, our model presents one of the players, Bob, his input piece-by-piece, and has the players Alice and Bob cooperate to compute a result each time before the next piece is reveale... |
2305.10960 | Eric Rosen | Eric Rosen, Devesh K. Jha | A Virtual Reality Teleoperation Interface for Industrial Robot
Manipulators | 7 pages, 6 figures | null | null | null | cs.RO cs.AI | http://creativecommons.org/licenses/by/4.0/ | We address the problem of teleoperating an industrial robot manipulator via a
commercially available Virtual Reality (VR) interface. Previous works on VR
teleoperation for robot manipulators focus primarily on collaborative or
research robot platforms (whose dynamics and constraints differ from industrial
robot arms)... | [
{
"created": "Thu, 18 May 2023 13:26:23 GMT",
"version": "v1"
}
] | 2023-05-19 | [
[
"Rosen",
"Eric",
""
],
[
"Jha",
"Devesh K.",
""
]
] | We address the problem of teleoperating an industrial robot manipulator via a commercially available Virtual Reality (VR) interface. Previous works on VR teleoperation for robot manipulators focus primarily on collaborative or research robot platforms (whose dynamics and constraints differ from industrial robot arms), ... |
1412.7059 | Huibo Bi | Huibo Bi and Erol Gelenbe | Cloud Enabled Emergency Navigation Using Faster-than-real-time
Simulation | Submitted to PerNEM'15 for review | null | null | null | cs.OH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | State-of-the-art emergency navigation approaches are designed to evacuate
civilians during a disaster based on real-time decisions using a pre-defined
algorithm and live sensory data. Hence, casualties caused by the poor decisions
and guidance are only apparent at the end of the evacuation process and cannot
then be ... | [
{
"created": "Mon, 22 Dec 2014 17:08:59 GMT",
"version": "v1"
},
{
"created": "Sat, 3 Jan 2015 15:41:35 GMT",
"version": "v2"
}
] | 2015-01-06 | [
[
"Bi",
"Huibo",
""
],
[
"Gelenbe",
"Erol",
""
]
] | State-of-the-art emergency navigation approaches are designed to evacuate civilians during a disaster based on real-time decisions using a pre-defined algorithm and live sensory data. Hence, casualties caused by the poor decisions and guidance are only apparent at the end of the evacuation process and cannot then be re... |
1910.05645 | Doron Mu | Shiri Chechik and Doron Mukhtar | Reachability and Shortest Paths in the Broadcast CONGEST Model | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we study the time complexity of the single-source reachability
problem and the single-source shortest path problem for directed unweighted
graphs in the Broadcast CONGEST model. We focus on the case where the diameter
$D$ of the underlying network is constant. We show that for the case where $D =
1$ the... | [
{
"created": "Sat, 12 Oct 2019 21:11:52 GMT",
"version": "v1"
}
] | 2019-10-15 | [
[
"Chechik",
"Shiri",
""
],
[
"Mukhtar",
"Doron",
""
]
] | In this paper we study the time complexity of the single-source reachability problem and the single-source shortest path problem for directed unweighted graphs in the Broadcast CONGEST model. We focus on the case where the diameter $D$ of the underlying network is constant. We show that for the case where $D = 1$ there... |
2004.06496 | Michael Everett | Michael Everett, Bjorn Lutjens, Jonathan P. How | Certifiable Robustness to Adversarial State Uncertainty in Deep
Reinforcement Learning | arXiv admin note: text overlap with arXiv:1910.12908 | null | 10.1109/TNNLS.2021.3056046 | null | cs.LG cs.CR stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep Neural Network-based systems are now the state-of-the-art in many
robotics tasks, but their application in safety-critical domains remains
dangerous without formal guarantees on network robustness. Small perturbations
to sensor inputs (from noise or adversarial examples) are often enough to
change network-based ... | [
{
"created": "Sat, 11 Apr 2020 21:36:13 GMT",
"version": "v1"
},
{
"created": "Mon, 22 Jun 2020 22:02:21 GMT",
"version": "v2"
},
{
"created": "Fri, 21 Aug 2020 16:57:54 GMT",
"version": "v3"
},
{
"created": "Mon, 25 Jan 2021 17:15:40 GMT",
"version": "v4"
},
{
"c... | 2022-02-03 | [
[
"Everett",
"Michael",
""
],
[
"Lutjens",
"Bjorn",
""
],
[
"How",
"Jonathan P.",
""
]
] | Deep Neural Network-based systems are now the state-of-the-art in many robotics tasks, but their application in safety-critical domains remains dangerous without formal guarantees on network robustness. Small perturbations to sensor inputs (from noise or adversarial examples) are often enough to change network-based de... |
2108.12313 | Wei Xiang | Fanxin Xu, Xiangkui Li, Hang Yang, Yali Wang, Wei Xiang | TE-YOLOF: Tiny and efficient YOLOF for blood cell detection | null | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Blood cell detection in microscopic images is an essential branch of medical
image processing research. Since disease detection based on manual checking of
blood cells is time-consuming and full of errors, testing of blood cells using
object detectors with Deep Convolutional Neural Network can be regarded as a
feasib... | [
{
"created": "Fri, 27 Aug 2021 14:45:27 GMT",
"version": "v1"
}
] | 2021-08-30 | [
[
"Xu",
"Fanxin",
""
],
[
"Li",
"Xiangkui",
""
],
[
"Yang",
"Hang",
""
],
[
"Wang",
"Yali",
""
],
[
"Xiang",
"Wei",
""
]
] | Blood cell detection in microscopic images is an essential branch of medical image processing research. Since disease detection based on manual checking of blood cells is time-consuming and full of errors, testing of blood cells using object detectors with Deep Convolutional Neural Network can be regarded as a feasible... |
1907.02140 | Tadahiro Taniguchi | Akira Kinose and Tadahiro Taniguchi | Integration of Imitation Learning using GAIL and Reinforcement Learning
using Task-achievement Rewards via Probabilistic Graphical Model | Submitted to Advanced Robotics | Advanced Robotics, 2020, 34:16, 1055-1067 | 10.1080/01691864.2020.1778521 | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Integration of reinforcement learning and imitation learning is an important
problem that has been studied for a long time in the field of intelligent
robotics. Reinforcement learning optimizes policies to maximize the cumulative
reward, whereas imitation learning attempts to extract general knowledge about
the traje... | [
{
"created": "Wed, 3 Jul 2019 21:38:48 GMT",
"version": "v1"
},
{
"created": "Wed, 16 Oct 2019 08:24:58 GMT",
"version": "v2"
}
] | 2023-01-18 | [
[
"Kinose",
"Akira",
""
],
[
"Taniguchi",
"Tadahiro",
""
]
] | Integration of reinforcement learning and imitation learning is an important problem that has been studied for a long time in the field of intelligent robotics. Reinforcement learning optimizes policies to maximize the cumulative reward, whereas imitation learning attempts to extract general knowledge about the traject... |
2203.13965 | Filip Ilievski | Jiang Wang, Filip Ilievski, Pedro Szekely, Ke-Thia Yao | Augmenting Knowledge Graphs for Better Link Prediction | null | null | null | null | cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Embedding methods have demonstrated robust performance on the task of link
prediction in knowledge graphs, by mostly encoding entity relationships. Recent
methods propose to enhance the loss function with a literal-aware term. In this
paper, we propose KGA: a knowledge graph augmentation method that incorporates
lite... | [
{
"created": "Sat, 26 Mar 2022 02:06:17 GMT",
"version": "v1"
},
{
"created": "Mon, 25 Apr 2022 03:43:30 GMT",
"version": "v2"
}
] | 2022-04-26 | [
[
"Wang",
"Jiang",
""
],
[
"Ilievski",
"Filip",
""
],
[
"Szekely",
"Pedro",
""
],
[
"Yao",
"Ke-Thia",
""
]
] | Embedding methods have demonstrated robust performance on the task of link prediction in knowledge graphs, by mostly encoding entity relationships. Recent methods propose to enhance the loss function with a literal-aware term. In this paper, we propose KGA: a knowledge graph augmentation method that incorporates litera... |
2308.00519 | Andrea Avogaro | Andrea Avogaro, Federico Cunico, Bodo Rosenhahn and Francesco Setti | Markerless human pose estimation for biomedical applications: a survey | null | Frontiers in Computer Science 5, (2023): 1153160 | 10.3389/fcomp.2023.1153160 | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Markerless Human Pose Estimation (HPE) proved its potential to support
decision making and assessment in many fields of application. HPE is often
preferred to traditional marker-based Motion Capture systems due to the ease of
setup, portability, and affordable cost of the technology. However, the
exploitation of HPE ... | [
{
"created": "Tue, 1 Aug 2023 12:59:07 GMT",
"version": "v1"
}
] | 2023-08-02 | [
[
"Avogaro",
"Andrea",
""
],
[
"Cunico",
"Federico",
""
],
[
"Rosenhahn",
"Bodo",
""
],
[
"Setti",
"Francesco",
""
]
] | Markerless Human Pose Estimation (HPE) proved its potential to support decision making and assessment in many fields of application. HPE is often preferred to traditional marker-based Motion Capture systems due to the ease of setup, portability, and affordable cost of the technology. However, the exploitation of HPE in... |
1809.01633 | Jan Siebert | Nina Hristozova, Piotr Ozimek, and Jan Paul Siebert | Efficient Egocentric Visual Perception Combining Eye-tracking, a
Software Retina and Deep Learning | Accepted for: EPIC Workshop at the European Conference on Computer
Vision, ECCV2018 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present ongoing work to harness biological approaches to achieving highly
efficient egocentric perception by combining the space-variant imaging
architecture of the mammalian retina with Deep Learning methods. By
pre-processing images collected by means of eye-tracking glasses to control the
fixation locations of ... | [
{
"created": "Wed, 5 Sep 2018 17:19:07 GMT",
"version": "v1"
}
] | 2018-09-06 | [
[
"Hristozova",
"Nina",
""
],
[
"Ozimek",
"Piotr",
""
],
[
"Siebert",
"Jan Paul",
""
]
] | We present ongoing work to harness biological approaches to achieving highly efficient egocentric perception by combining the space-variant imaging architecture of the mammalian retina with Deep Learning methods. By pre-processing images collected by means of eye-tracking glasses to control the fixation locations of a ... |
1906.06498 | Alberto Bemporad Prof. | Alberto Bemporad | Global optimization via inverse distance weighting and radial basis
functions | null | null | null | null | cs.LG math.OC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Global optimization problems whose objective function is expensive to
evaluate can be solved effectively by recursively fitting a surrogate function
to function samples and minimizing an acquisition function to generate new
samples. The acquisition step trades off between seeking for a new optimization
vector where t... | [
{
"created": "Sat, 15 Jun 2019 08:45:47 GMT",
"version": "v1"
},
{
"created": "Thu, 9 Jan 2020 07:32:43 GMT",
"version": "v2"
}
] | 2020-01-10 | [
[
"Bemporad",
"Alberto",
""
]
] | Global optimization problems whose objective function is expensive to evaluate can be solved effectively by recursively fitting a surrogate function to function samples and minimizing an acquisition function to generate new samples. The acquisition step trades off between seeking for a new optimization vector where the... |
1208.3845 | Jing-Yan Wang | Jing-Yan Wang and Mustafa AbdulJabbar | Adaptive Graph via Multiple Kernel Learning for Nonnegative Matrix
Factorization | This paper has been withdrawn by the author due to the terrible
writing | null | null | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Nonnegative Matrix Factorization (NMF) has been continuously evolving in
several areas like pattern recognition and information retrieval methods. It
factorizes a matrix into a product of 2 low-rank non-negative matrices that
will define parts-based, and linear representation of nonnegative data.
Recently, Graph regu... | [
{
"created": "Sun, 19 Aug 2012 15:21:09 GMT",
"version": "v1"
},
{
"created": "Sun, 26 Aug 2012 07:24:22 GMT",
"version": "v2"
},
{
"created": "Wed, 3 Apr 2013 14:21:50 GMT",
"version": "v3"
}
] | 2013-04-04 | [
[
"Wang",
"Jing-Yan",
""
],
[
"AbdulJabbar",
"Mustafa",
""
]
] | Nonnegative Matrix Factorization (NMF) has been continuously evolving in several areas like pattern recognition and information retrieval methods. It factorizes a matrix into a product of 2 low-rank non-negative matrices that will define parts-based, and linear representation of nonnegative data. Recently, Graph regula... |
1806.06977 | Akhilesh Gotmare | Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher | Using Mode Connectivity for Loss Landscape Analysis | Accepted as a workshop paper at ICML's Workshop on Modern Trends in
Nonconvex Optimization for Machine Learning, 2018 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Mode connectivity is a recently introduced frame- work that empirically
establishes the connected- ness of minima by finding a high accuracy curve
between two independently trained models. To investigate the limits of this
setup, we examine the efficacy of this technique in extreme cases where the
input models are tr... | [
{
"created": "Mon, 18 Jun 2018 23:00:26 GMT",
"version": "v1"
}
] | 2018-06-20 | [
[
"Gotmare",
"Akhilesh",
""
],
[
"Keskar",
"Nitish Shirish",
""
],
[
"Xiong",
"Caiming",
""
],
[
"Socher",
"Richard",
""
]
] | Mode connectivity is a recently introduced frame- work that empirically establishes the connected- ness of minima by finding a high accuracy curve between two independently trained models. To investigate the limits of this setup, we examine the efficacy of this technique in extreme cases where the input models are trai... |
1603.04574 | Tamoor-Ul-Hassan Syed | Syed Tamoor-ul-Hassan, Mehdi Bennis, Pedro H. J. Nardelli, Matti
Latva-Aho | Caching in Wireless Small Cell Networks: A Storage-Bandwidth Tradeoff | accepted for publication, IEEE Comm Letters 2016 | null | 10.1109/LCOMM.2016.2543698 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Caching contents at the network edge is an efficient mean for offloading
traffic, reducing latency and improving users' quality-of-experience. In this
letter, we focus on aspects of storage-bandwidth tradeoffs in which small cell
base stations are distributed according to a homogeneous Poisson point process
and cache... | [
{
"created": "Tue, 15 Mar 2016 07:19:06 GMT",
"version": "v1"
},
{
"created": "Wed, 16 Mar 2016 09:07:27 GMT",
"version": "v2"
},
{
"created": "Thu, 17 Mar 2016 13:11:18 GMT",
"version": "v3"
}
] | 2016-11-18 | [
[
"Tamoor-ul-Hassan",
"Syed",
""
],
[
"Bennis",
"Mehdi",
""
],
[
"Nardelli",
"Pedro H. J.",
""
],
[
"Latva-Aho",
"Matti",
""
]
] | Caching contents at the network edge is an efficient mean for offloading traffic, reducing latency and improving users' quality-of-experience. In this letter, we focus on aspects of storage-bandwidth tradeoffs in which small cell base stations are distributed according to a homogeneous Poisson point process and cache c... |
2009.04091 | Binh Nguyen Xuan | Binh X. Nguyen, Binh D. Nguyen, Gustavo Carneiro, Erman Tjiputra,
Quang D. Tran, Thanh-Toan Do | Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised
Approach for Feature Embedding | Accepted in BMVC 2020 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Unsupervised Deep Distance Metric Learning (UDML) aims to learn sample
similarities in the embedding space from an unlabeled dataset. Traditional UDML
methods usually use the triplet loss or pairwise loss which requires the mining
of positive and negative samples w.r.t. anchor data points. This is, however,
challengi... | [
{
"created": "Wed, 9 Sep 2020 04:02:04 GMT",
"version": "v1"
}
] | 2020-09-10 | [
[
"Nguyen",
"Binh X.",
""
],
[
"Nguyen",
"Binh D.",
""
],
[
"Carneiro",
"Gustavo",
""
],
[
"Tjiputra",
"Erman",
""
],
[
"Tran",
"Quang D.",
""
],
[
"Do",
"Thanh-Toan",
""
]
] | Unsupervised Deep Distance Metric Learning (UDML) aims to learn sample similarities in the embedding space from an unlabeled dataset. Traditional UDML methods usually use the triplet loss or pairwise loss which requires the mining of positive and negative samples w.r.t. anchor data points. This is, however, challenging... |
2404.08163 | Adrian Lehmann | Bhakti Shah, William Spencer, Laura Zielinski, Ben Caldwell, Adrian
Lehmann, Robert Rand | ViCAR: Visualizing Categories with Automated Rewriting in Coq | 13 pages, 10 figures | null | null | null | cs.PL math.CT | http://creativecommons.org/licenses/by/4.0/ | We present ViCAR, a library for working with monoidal categories in the Coq
proof assistant. ViCAR provides definitions for categorical structures that
users can instantiate with their own verification projects. Upon verifying
relevant coherence conditions, ViCAR gives a set of lemmas and tactics for
manipulating cat... | [
{
"created": "Thu, 11 Apr 2024 23:59:14 GMT",
"version": "v1"
}
] | 2024-04-15 | [
[
"Shah",
"Bhakti",
""
],
[
"Spencer",
"William",
""
],
[
"Zielinski",
"Laura",
""
],
[
"Caldwell",
"Ben",
""
],
[
"Lehmann",
"Adrian",
""
],
[
"Rand",
"Robert",
""
]
] | We present ViCAR, a library for working with monoidal categories in the Coq proof assistant. ViCAR provides definitions for categorical structures that users can instantiate with their own verification projects. Upon verifying relevant coherence conditions, ViCAR gives a set of lemmas and tactics for manipulating categ... |
2308.03172 | Shuang Ao | Shuang Ao, Stefan Rueger, Advaith Siddharthan | Two Sides of Miscalibration: Identifying Over and Under-Confidence
Prediction for Network Calibration | 9 pages | 2023 | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Proper confidence calibration of deep neural networks is essential for
reliable predictions in safety-critical tasks. Miscalibration can lead to model
over-confidence and/or under-confidence; i.e., the model's confidence in its
prediction can be greater or less than the model's accuracy. Recent studies
have highlight... | [
{
"created": "Sun, 6 Aug 2023 17:59:14 GMT",
"version": "v1"
}
] | 2023-08-08 | [
[
"Ao",
"Shuang",
""
],
[
"Rueger",
"Stefan",
""
],
[
"Siddharthan",
"Advaith",
""
]
] | Proper confidence calibration of deep neural networks is essential for reliable predictions in safety-critical tasks. Miscalibration can lead to model over-confidence and/or under-confidence; i.e., the model's confidence in its prediction can be greater or less than the model's accuracy. Recent studies have highlighted... |
2405.20824 | Stephen Pasteris | Stephen Pasteris, Chris Hicks, Vasilios Mavroudis, Mark Herbster | Online Convex Optimisation: The Optimal Switching Regret for all
Segmentations Simultaneously | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the classic problem of online convex optimisation. Whereas the
notion of static regret is relevant for stationary problems, the notion of
switching regret is more appropriate for non-stationary problems. A switching
regret is defined relative to any segmentation of the trial sequence, and is
equal to the ... | [
{
"created": "Fri, 31 May 2024 14:16:52 GMT",
"version": "v1"
}
] | 2024-06-03 | [
[
"Pasteris",
"Stephen",
""
],
[
"Hicks",
"Chris",
""
],
[
"Mavroudis",
"Vasilios",
""
],
[
"Herbster",
"Mark",
""
]
] | We consider the classic problem of online convex optimisation. Whereas the notion of static regret is relevant for stationary problems, the notion of switching regret is more appropriate for non-stationary problems. A switching regret is defined relative to any segmentation of the trial sequence, and is equal to the su... |
1403.2628 | Ozan Kahramanogullari | Ozan Kahramanogullari (The Microsoft Research - University of Trento
Centre for Computational and Syste) | Interaction and Depth against Nondeterminism in Proof Search | null | Logical Methods in Computer Science, Volume 10, Issue 2 (May 30,
2014) lmcs:1089 | 10.2168/LMCS-10(2:5)2014 | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep inference is a proof theoretic methodology that generalizes the standard
notion of inference of the sequent calculus, whereby inference rules become
applicable at any depth inside logical expressions. Deep inference provides
more freedom in the design of deductive systems for different logics and a rich
combinat... | [
{
"created": "Tue, 11 Mar 2014 16:22:34 GMT",
"version": "v1"
},
{
"created": "Wed, 28 May 2014 16:36:47 GMT",
"version": "v2"
}
] | 2015-07-01 | [
[
"Kahramanogullari",
"Ozan",
"",
"The Microsoft Research - University of Trento\n Centre for Computational and Syste"
]
] | Deep inference is a proof theoretic methodology that generalizes the standard notion of inference of the sequent calculus, whereby inference rules become applicable at any depth inside logical expressions. Deep inference provides more freedom in the design of deductive systems for different logics and a rich combinator... |
2201.06056 | Mengyue Yang | Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye
Hao, Jun Wang, Xu Chen | Debiased Recommendation with User Feature Balancing | null | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Debiased recommendation has recently attracted increasing attention from both
industry and academic communities. Traditional models mostly rely on the
inverse propensity score (IPS), which can be hard to estimate and may suffer
from the high variance issue. To alleviate these problems, in this paper, we
propose a nov... | [
{
"created": "Sun, 16 Jan 2022 14:26:28 GMT",
"version": "v1"
}
] | 2022-01-19 | [
[
"Yang",
"Mengyue",
""
],
[
"Cai",
"Guohao",
""
],
[
"Liu",
"Furui",
""
],
[
"Dong",
"Zhenhua",
""
],
[
"He",
"Xiuqiang",
""
],
[
"Hao",
"Jianye",
""
],
[
"Wang",
"Jun",
""
],
[
"Chen",
"Xu",
... | Debiased recommendation has recently attracted increasing attention from both industry and academic communities. Traditional models mostly rely on the inverse propensity score (IPS), which can be hard to estimate and may suffer from the high variance issue. To alleviate these problems, in this paper, we propose a novel... |
1803.10623 | Hazer Inaltekin | Y. Sarikaya, H. Inaltekin, T. Alpcan and J. S. Evans | Stability and Dynamic Control of Underlay Mobile Edge Networks | arXiv admin note: substantial text overlap with arXiv:1606.00534 | null | null | null | cs.IT cs.NI math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper studies the stability and dynamic control of underlay mobile edge
networks. First, the stability region for a multiuser edge network is obtained
under the assumption of full channel state information. This result provides a
benchmark figure for comparing performance of the proposed algorithms. Second,
a ce... | [
{
"created": "Mon, 26 Mar 2018 00:33:00 GMT",
"version": "v1"
}
] | 2018-03-29 | [
[
"Sarikaya",
"Y.",
""
],
[
"Inaltekin",
"H.",
""
],
[
"Alpcan",
"T.",
""
],
[
"Evans",
"J. S.",
""
]
] | This paper studies the stability and dynamic control of underlay mobile edge networks. First, the stability region for a multiuser edge network is obtained under the assumption of full channel state information. This result provides a benchmark figure for comparing performance of the proposed algorithms. Second, a cent... |
2302.02121 | Hanjing Ye | Hanjing Ye, Jieting Zhao, Yaling Pan, Weinan Chen, Li He and Hong
Zhang | Robot Person Following Under Partial Occlusion | Accepted by ICRA 2023 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Robot person following (RPF) is a capability that supports many useful
human-robot-interaction (HRI) applications. However, existing solutions to
person following often assume full observation of the tracked person. As a
consequence, they cannot track the person reliably under partial occlusion
where the assumption o... | [
{
"created": "Sat, 4 Feb 2023 07:34:05 GMT",
"version": "v1"
},
{
"created": "Mon, 27 Feb 2023 08:57:54 GMT",
"version": "v2"
}
] | 2023-02-28 | [
[
"Ye",
"Hanjing",
""
],
[
"Zhao",
"Jieting",
""
],
[
"Pan",
"Yaling",
""
],
[
"Chen",
"Weinan",
""
],
[
"He",
"Li",
""
],
[
"Zhang",
"Hong",
""
]
] | Robot person following (RPF) is a capability that supports many useful human-robot-interaction (HRI) applications. However, existing solutions to person following often assume full observation of the tracked person. As a consequence, they cannot track the person reliably under partial occlusion where the assumption of ... |
2107.04231 | Vinod K Kurmi | Vinod K Kurmi and Venkatesh K Subramanian and Vinay P. Namboodiri | Exploring Dropout Discriminator for Domain Adaptation | This work is an extension of our BMVC-2019 paper (arXiv:1907.10628) | null | null | null | cs.LG cs.AI cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Adaptation of a classifier to new domains is one of the challenging problems
in machine learning. This has been addressed using many deep and non-deep
learning based methods. Among the methodologies used, that of adversarial
learning is widely applied to solve many deep learning problems along with
domain adaptation.... | [
{
"created": "Fri, 9 Jul 2021 06:11:34 GMT",
"version": "v1"
}
] | 2021-07-12 | [
[
"Kurmi",
"Vinod K",
""
],
[
"Subramanian",
"Venkatesh K",
""
],
[
"Namboodiri",
"Vinay P.",
""
]
] | Adaptation of a classifier to new domains is one of the challenging problems in machine learning. This has been addressed using many deep and non-deep learning based methods. Among the methodologies used, that of adversarial learning is widely applied to solve many deep learning problems along with domain adaptation. T... |
2102.03933 | Thomas Hardjono | Thomas Hardjono | Blockchain Gateways, Bridges and Delegated Hash-Locks | 8 figures | null | null | null | cs.CR | http://creativecommons.org/licenses/by-nc-nd/4.0/ | In the current work we discuss the notion of gateways as a means for
interoperability across different blockchain systems. We discuss two key
principles for the design of gateway nodes and scalable gateway protocols,
namely (i) the opaque ledgers principle as the analogue of the autonomous
systems principle in IP dat... | [
{
"created": "Sun, 7 Feb 2021 22:14:04 GMT",
"version": "v1"
}
] | 2021-02-09 | [
[
"Hardjono",
"Thomas",
""
]
] | In the current work we discuss the notion of gateways as a means for interoperability across different blockchain systems. We discuss two key principles for the design of gateway nodes and scalable gateway protocols, namely (i) the opaque ledgers principle as the analogue of the autonomous systems principle in IP datag... |
2110.09978 | Michael R. Douglas | Michael R. Douglas, Michael Simkin, Omri Ben-Eliezer, Tianqi Wu, Peter
Chin, Trung V. Dang and Andrew Wood | What is Learned in Knowledge Graph Embeddings? | 16 pages | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A knowledge graph (KG) is a data structure which represents entities and
relations as the vertices and edges of a directed graph with edge types. KGs
are an important primitive in modern machine learning and artificial
intelligence. Embedding-based models, such as the seminal TransE [Bordes et
al., 2013] and the rece... | [
{
"created": "Tue, 19 Oct 2021 13:52:11 GMT",
"version": "v1"
}
] | 2021-10-20 | [
[
"Douglas",
"Michael R.",
""
],
[
"Simkin",
"Michael",
""
],
[
"Ben-Eliezer",
"Omri",
""
],
[
"Wu",
"Tianqi",
""
],
[
"Chin",
"Peter",
""
],
[
"Dang",
"Trung V.",
""
],
[
"Wood",
"Andrew",
""
]
] | A knowledge graph (KG) is a data structure which represents entities and relations as the vertices and edges of a directed graph with edge types. KGs are an important primitive in modern machine learning and artificial intelligence. Embedding-based models, such as the seminal TransE [Bordes et al., 2013] and the recent... |
2306.12893 | Harry Zhang Mr. | Harry Zhang, Ben Eisner, David Held | FlowBot++: Learning Generalized Articulated Objects Manipulation via
Articulation Projection | arXiv admin note: text overlap with arXiv:2205.04382 | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | Understanding and manipulating articulated objects, such as doors and
drawers, is crucial for robots operating in human environments. We wish to
develop a system that can learn to articulate novel objects with no prior
interaction, after training on other articulated objects. Previous approaches
for articulated objec... | [
{
"created": "Thu, 22 Jun 2023 14:00:48 GMT",
"version": "v1"
},
{
"created": "Mon, 25 Sep 2023 19:30:37 GMT",
"version": "v2"
},
{
"created": "Thu, 15 Feb 2024 20:05:21 GMT",
"version": "v3"
},
{
"created": "Wed, 1 May 2024 23:57:20 GMT",
"version": "v4"
}
] | 2024-05-03 | [
[
"Zhang",
"Harry",
""
],
[
"Eisner",
"Ben",
""
],
[
"Held",
"David",
""
]
] | Understanding and manipulating articulated objects, such as doors and drawers, is crucial for robots operating in human environments. We wish to develop a system that can learn to articulate novel objects with no prior interaction, after training on other articulated objects. Previous approaches for articulated object ... |
2211.01987 | Daniel Pook-Kolb | Daniel Pook-Kolb, Bruce Allen, Erik Agrell | Exact calculation of quantizer constants for arbitrary lattices | 24 pages, 7 figures | null | null | null | cs.IT math.IT math.MG | http://creativecommons.org/licenses/by/4.0/ | We present an algorithm for the exact computer-aided construction of the
Voronoi cells of lattices with known symmetry group. Our algorithm scales
better than linearly with the total number of faces and is applicable to
dimensions beyond 12, which previous methods could not achieve. The new
algorithm is applied to th... | [
{
"created": "Fri, 14 Oct 2022 08:03:16 GMT",
"version": "v1"
},
{
"created": "Sat, 1 Apr 2023 10:41:47 GMT",
"version": "v2"
},
{
"created": "Sun, 18 Feb 2024 15:40:19 GMT",
"version": "v3"
}
] | 2024-02-20 | [
[
"Pook-Kolb",
"Daniel",
""
],
[
"Allen",
"Bruce",
""
],
[
"Agrell",
"Erik",
""
]
] | We present an algorithm for the exact computer-aided construction of the Voronoi cells of lattices with known symmetry group. Our algorithm scales better than linearly with the total number of faces and is applicable to dimensions beyond 12, which previous methods could not achieve. The new algorithm is applied to the ... |
2305.03187 | Zikang Leng | Zikang Leng, Hyeokhyen Kwon, Thomas Pl\"otz | Generating Virtual On-body Accelerometer Data from Virtual Textual
Descriptions for Human Activity Recognition | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The development of robust, generalized models in human activity recognition
(HAR) has been hindered by the scarcity of large-scale, labeled data sets.
Recent work has shown that virtual IMU data extracted from videos using
computer vision techniques can lead to substantial performance improvements
when training HAR m... | [
{
"created": "Thu, 4 May 2023 22:14:44 GMT",
"version": "v1"
}
] | 2023-05-08 | [
[
"Leng",
"Zikang",
""
],
[
"Kwon",
"Hyeokhyen",
""
],
[
"Plötz",
"Thomas",
""
]
] | The development of robust, generalized models in human activity recognition (HAR) has been hindered by the scarcity of large-scale, labeled data sets. Recent work has shown that virtual IMU data extracted from videos using computer vision techniques can lead to substantial performance improvements when training HAR mod... |
1912.10589 | Yuan Yao | Yuan Yao, Nico Schertler, Enrique Rosales, Helge Rhodin, Leonid Sigal,
Alla Sheffer | Front2Back: Single View 3D Shape Reconstruction via Front to Back
Prediction | null | null | null | null | cs.CV cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reconstruction of a 3D shape from a single 2D image is a classical computer
vision problem, whose difficulty stems from the inherent ambiguity of
recovering occluded or only partially observed surfaces. Recent methods address
this challenge through the use of largely unstructured neural networks that
effectively dist... | [
{
"created": "Mon, 23 Dec 2019 02:27:05 GMT",
"version": "v1"
},
{
"created": "Fri, 31 Jan 2020 23:51:41 GMT",
"version": "v2"
}
] | 2020-02-04 | [
[
"Yao",
"Yuan",
""
],
[
"Schertler",
"Nico",
""
],
[
"Rosales",
"Enrique",
""
],
[
"Rhodin",
"Helge",
""
],
[
"Sigal",
"Leonid",
""
],
[
"Sheffer",
"Alla",
""
]
] | Reconstruction of a 3D shape from a single 2D image is a classical computer vision problem, whose difficulty stems from the inherent ambiguity of recovering occluded or only partially observed surfaces. Recent methods address this challenge through the use of largely unstructured neural networks that effectively distil... |
2201.12303 | Robin Fritsch | Robin Fritsch and Roger Wattenhofer | The Price of Majority Support | 9 pages, 2 figures | Proceedings of the 21st International Conference on Autonomous
Agents and Multiagent Systems (2022) 436-444 | 10.5555/3535850.3535900 | null | cs.LG cs.GT cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of finding a compromise between the opinions of a
group of individuals on a number of mutually independent, binary topics. In
this paper, we quantify the loss in representativeness that results from
requiring the outcome to have majority support, in other words, the "price of
majority support"... | [
{
"created": "Fri, 28 Jan 2022 18:09:16 GMT",
"version": "v1"
}
] | 2023-10-30 | [
[
"Fritsch",
"Robin",
""
],
[
"Wattenhofer",
"Roger",
""
]
] | We consider the problem of finding a compromise between the opinions of a group of individuals on a number of mutually independent, binary topics. In this paper, we quantify the loss in representativeness that results from requiring the outcome to have majority support, in other words, the "price of majority support". ... |
2307.01464 | Helen Carson | Helen Carson, Jason J. Ford, Michael Milford | Unsupervised Quality Prediction for Improved Single-Frame and Weighted
Sequential Visual Place Recognition | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While substantial progress has been made in the absolute performance of
localization and Visual Place Recognition (VPR) techniques, it is becoming
increasingly clear from translating these systems into applications that other
capabilities like integrity and predictability are just as important,
especially for safety-... | [
{
"created": "Tue, 4 Jul 2023 03:53:05 GMT",
"version": "v1"
}
] | 2023-07-06 | [
[
"Carson",
"Helen",
""
],
[
"Ford",
"Jason J.",
""
],
[
"Milford",
"Michael",
""
]
] | While substantial progress has been made in the absolute performance of localization and Visual Place Recognition (VPR) techniques, it is becoming increasingly clear from translating these systems into applications that other capabilities like integrity and predictability are just as important, especially for safety- o... |
2304.13216 | Ashrya Agrawal | Sourabh Prakash, Priyanshi Shah, Ashrya Agrawal | Exploiting CNNs for Semantic Segmentation with Pascal VOC | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | In this paper, we present a comprehensive study on semantic segmentation with
the Pascal VOC dataset. Here, we have to label each pixel with a class which in
turn segments the entire image based on the objects/entities present. To tackle
this, we firstly use a Fully Convolution Network (FCN) baseline which gave
71.31... | [
{
"created": "Wed, 26 Apr 2023 00:40:27 GMT",
"version": "v1"
},
{
"created": "Fri, 5 May 2023 05:27:24 GMT",
"version": "v2"
}
] | 2023-05-08 | [
[
"Prakash",
"Sourabh",
""
],
[
"Shah",
"Priyanshi",
""
],
[
"Agrawal",
"Ashrya",
""
]
] | In this paper, we present a comprehensive study on semantic segmentation with the Pascal VOC dataset. Here, we have to label each pixel with a class which in turn segments the entire image based on the objects/entities present. To tackle this, we firstly use a Fully Convolution Network (FCN) baseline which gave 71.31% ... |
1512.01043 | Harsh Thakkar | Harsh Thakkar, Dhiren Patel | Approaches for Sentiment Analysis on Twitter: A State-of-Art study | null | null | null | null | cs.SI cs.CL cs.IR | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Microbloging is an extremely prevalent broadcast medium amidst the Internet
fraternity these days. People share their opinions and sentiments about variety
of subjects like products, news, institutions, etc., every day on microbloging
websites. Sentiment analysis plays a key role in prediction systems, opinion
mining... | [
{
"created": "Thu, 3 Dec 2015 11:29:36 GMT",
"version": "v1"
}
] | 2015-12-04 | [
[
"Thakkar",
"Harsh",
""
],
[
"Patel",
"Dhiren",
""
]
] | Microbloging is an extremely prevalent broadcast medium amidst the Internet fraternity these days. People share their opinions and sentiments about variety of subjects like products, news, institutions, etc., every day on microbloging websites. Sentiment analysis plays a key role in prediction systems, opinion mining s... |
1606.01467 | Jie Fu | Jie Fu | Deep Q-Networks for Accelerating the Training of Deep Neural Networks | We choose to withdraw this paper. The DQN itself has too many
hyperparameters, which makes it almost impossible to be applied to reasonably
large datasets. In the later versions (from v4) with SGDR experiments, it
seems that the agent only performs random actions | null | null | null | cs.LG cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a principled deep reinforcement learning (RL)
approach that is able to accelerate the convergence rate of general deep neural
networks (DNNs). With our approach, a deep RL agent (synonym for optimizer in
this work) is used to automatically learn policies about how to schedule
learning rates ... | [
{
"created": "Sun, 5 Jun 2016 06:42:56 GMT",
"version": "v1"
},
{
"created": "Thu, 13 Jul 2017 08:49:36 GMT",
"version": "v10"
},
{
"created": "Wed, 8 Jun 2016 17:02:49 GMT",
"version": "v2"
},
{
"created": "Mon, 1 Aug 2016 14:17:18 GMT",
"version": "v3"
},
{
"cre... | 2017-07-14 | [
[
"Fu",
"Jie",
""
]
] | In this paper, we propose a principled deep reinforcement learning (RL) approach that is able to accelerate the convergence rate of general deep neural networks (DNNs). With our approach, a deep RL agent (synonym for optimizer in this work) is used to automatically learn policies about how to schedule learning rates du... |
1901.04933 | David Puljiz | David Puljiz, Erik St\"ohr, Katharina S. Riesterer, Bj\"orn Hein,
Torsten Kr\"oger | Sensorless Hand Guidance using Microsoft Hololens | Accepted to HRI2019 - Late Breaking reports | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Hand guidance of robots has proven to be a useful tool both for programming
trajectories and in kinesthetic teaching. However hand guidance is usually
relegated to robots possessing joint-torque sensors (JTS). Here we propose to
extend hand guidance to robots lacking those sensors through the use of an
Augmented Real... | [
{
"created": "Tue, 15 Jan 2019 16:55:43 GMT",
"version": "v1"
}
] | 2019-01-16 | [
[
"Puljiz",
"David",
""
],
[
"Stöhr",
"Erik",
""
],
[
"Riesterer",
"Katharina S.",
""
],
[
"Hein",
"Björn",
""
],
[
"Kröger",
"Torsten",
""
]
] | Hand guidance of robots has proven to be a useful tool both for programming trajectories and in kinesthetic teaching. However hand guidance is usually relegated to robots possessing joint-torque sensors (JTS). Here we propose to extend hand guidance to robots lacking those sensors through the use of an Augmented Realit... |
1612.05016 | Johannes Stegmann Dr. | Johannes Stegmann | Research performance of UNU - A bibliometric analysis of the United
Nations University | 13 pages, 4 figures, 9 tables | null | null | null | cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The scientific paper output of the United Nations University (UNU) was
bibliometrically analysed. It was found that (i) a noticeable continous paper
output starts in 1995, (ii) about 65% of the research papers have been
published as international cooperations and 18% as single-authored papers, (iv)
the research paper... | [
{
"created": "Thu, 15 Dec 2016 11:08:02 GMT",
"version": "v1"
}
] | 2020-05-13 | [
[
"Stegmann",
"Johannes",
""
]
] | The scientific paper output of the United Nations University (UNU) was bibliometrically analysed. It was found that (i) a noticeable continous paper output starts in 1995, (ii) about 65% of the research papers have been published as international cooperations and 18% as single-authored papers, (iv) the research papers ... |
2407.16430 | Kai Liu | Kai Liu, Zhihang Fu, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Fan
Zhou, Yaowu Chen, Jieping Ye | Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution | N/A | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Detecting and rejecting unknown out-of-distribution (OOD) samples is critical
for deployed neural networks to void unreliable predictions. In real-world
scenarios, however, the efficacy of existing OOD detection methods is often
impeded by the inherent imbalance of in-distribution (ID) data, which causes
significant ... | [
{
"created": "Tue, 23 Jul 2024 12:28:59 GMT",
"version": "v1"
}
] | 2024-07-24 | [
[
"Liu",
"Kai",
""
],
[
"Fu",
"Zhihang",
""
],
[
"Jin",
"Sheng",
""
],
[
"Chen",
"Chao",
""
],
[
"Chen",
"Ze",
""
],
[
"Jiang",
"Rongxin",
""
],
[
"Zhou",
"Fan",
""
],
[
"Chen",
"Yaowu",
""
... | Detecting and rejecting unknown out-of-distribution (OOD) samples is critical for deployed neural networks to void unreliable predictions. In real-world scenarios, however, the efficacy of existing OOD detection methods is often impeded by the inherent imbalance of in-distribution (ID) data, which causes significant pe... |
2111.04007 | Nitika Saran | Sanjith Athlur, Nitika Saran, Muthian Sivathanu, Ramachandran Ramjee
and Nipun Kwatra | Varuna: Scalable, Low-cost Training of Massive Deep Learning Models | 14 pages, 10 figures | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Systems for training massive deep learning models (billions of parameters)
today assume and require specialized "hyper-clusters": hundreds or thousands of
GPUs wired with specialized high-bandwidth interconnects such as NV-Link and
Infiniband. Besides being expensive, such dependence on hyper-clusters and
custom high... | [
{
"created": "Sun, 7 Nov 2021 05:33:48 GMT",
"version": "v1"
},
{
"created": "Mon, 15 Nov 2021 08:30:00 GMT",
"version": "v2"
}
] | 2021-11-16 | [
[
"Athlur",
"Sanjith",
""
],
[
"Saran",
"Nitika",
""
],
[
"Sivathanu",
"Muthian",
""
],
[
"Ramjee",
"Ramachandran",
""
],
[
"Kwatra",
"Nipun",
""
]
] | Systems for training massive deep learning models (billions of parameters) today assume and require specialized "hyper-clusters": hundreds or thousands of GPUs wired with specialized high-bandwidth interconnects such as NV-Link and Infiniband. Besides being expensive, such dependence on hyper-clusters and custom high-s... |
1211.4520 | Chuan Zhang | Chuan Zhang, Gerhard Dangelmayr, Iuliana Oprea | Storing cycles in Hopfield-type networks with pseudoinverse learning
rule: admissibility and network topology | 48 pages, 3 figures | Neural Networks, Volume 46, October 2013, Pages 283-298 | 10.1016/j.neunet.2013.06.008 | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cyclic patterns of neuronal activity are ubiquitous in animal nervous
systems, and partially responsible for generating and controlling rhythmic
movements such as locomotion, respiration, swallowing and so on. Clarifying the
role of the network connectivities for generating cyclic patterns is
fundamental for understa... | [
{
"created": "Mon, 19 Nov 2012 17:45:25 GMT",
"version": "v1"
},
{
"created": "Sun, 28 Apr 2013 04:33:58 GMT",
"version": "v2"
}
] | 2013-08-26 | [
[
"Zhang",
"Chuan",
""
],
[
"Dangelmayr",
"Gerhard",
""
],
[
"Oprea",
"Iuliana",
""
]
] | Cyclic patterns of neuronal activity are ubiquitous in animal nervous systems, and partially responsible for generating and controlling rhythmic movements such as locomotion, respiration, swallowing and so on. Clarifying the role of the network connectivities for generating cyclic patterns is fundamental for understand... |
1610.00681 | Muhammed Omer Sayin | Muhammed O. Sayin, Suleyman S. Kozat, and Tamer Ba\c{s}ar | Team-Optimal Distributed MMSE Estimation in General and Tree Networks | Submitted to Digital Signal Processing | null | null | null | cs.SY cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We construct team-optimal estimation algorithms over distributed networks for
state estimation in the finite-horizon mean-square error (MSE) sense. Here, we
have a distributed collection of agents with processing and cooperation
capabilities. These agents observe noisy samples of a desired state through a
linear mode... | [
{
"created": "Mon, 3 Oct 2016 19:09:01 GMT",
"version": "v1"
},
{
"created": "Sun, 8 Jan 2017 19:28:02 GMT",
"version": "v2"
}
] | 2017-01-10 | [
[
"Sayin",
"Muhammed O.",
""
],
[
"Kozat",
"Suleyman S.",
""
],
[
"Başar",
"Tamer",
""
]
] | We construct team-optimal estimation algorithms over distributed networks for state estimation in the finite-horizon mean-square error (MSE) sense. Here, we have a distributed collection of agents with processing and cooperation capabilities. These agents observe noisy samples of a desired state through a linear model ... |
1502.04888 | Haris Aziz | Haris Aziz and Serge Gaspers and Simon Mackenzie and Nicholas Mattei
and Nina Narodytska and Toby Walsh | Equilibria Under the Probabilistic Serial Rule | arXiv admin note: text overlap with arXiv:1401.6523, this paper
supersedes the equilibria section in our previous report arXiv:1401.6523 | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The probabilistic serial (PS) rule is a prominent randomized rule for
assigning indivisible goods to agents. Although it is well known for its good
fairness and welfare properties, it is not strategyproof. In view of this, we
address several fundamental questions regarding equilibria under PS. Firstly,
we show that N... | [
{
"created": "Tue, 17 Feb 2015 13:26:38 GMT",
"version": "v1"
},
{
"created": "Mon, 30 Mar 2015 22:32:01 GMT",
"version": "v2"
}
] | 2015-04-01 | [
[
"Aziz",
"Haris",
""
],
[
"Gaspers",
"Serge",
""
],
[
"Mackenzie",
"Simon",
""
],
[
"Mattei",
"Nicholas",
""
],
[
"Narodytska",
"Nina",
""
],
[
"Walsh",
"Toby",
""
]
] | The probabilistic serial (PS) rule is a prominent randomized rule for assigning indivisible goods to agents. Although it is well known for its good fairness and welfare properties, it is not strategyproof. In view of this, we address several fundamental questions regarding equilibria under PS. Firstly, we show that Nas... |
1202.4033 | Arun Sridharan | Arun Sridharan, C.Emre Koksal | Energy Efficient Greedy Link Scheduling and Power Control in wireless
networks | null | null | null | null | cs.NI cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of joint link scheduling and power control for
wireless networks with average transmission power constraints. Due to the high
computational complexity of the optimal policies, we extend the class of greedy
link scheduling policies to handle average power constraints. We develop a
greedy link s... | [
{
"created": "Fri, 17 Feb 2012 22:46:12 GMT",
"version": "v1"
}
] | 2012-02-21 | [
[
"Sridharan",
"Arun",
""
],
[
"Koksal",
"C. Emre",
""
]
] | We consider the problem of joint link scheduling and power control for wireless networks with average transmission power constraints. Due to the high computational complexity of the optimal policies, we extend the class of greedy link scheduling policies to handle average power constraints. We develop a greedy link sch... |
2306.12245 | Yinghui Li | Yinghui Li, Yong Jiang, Yangning Li, Xingyu Lu, Pengjun Xie, Ying
Shen, Hai-Tao Zheng | Bidirectional End-to-End Learning of Retriever-Reader Paradigm for
Entity Linking | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Entity Linking (EL) is a fundamental task for Information Extraction and
Knowledge Graphs. The general form of EL (i.e., end-to-end EL) aims to first
find mentions in the given input document and then link the mentions to
corresponding entities in a specific knowledge base. Recently, the paradigm of
retriever-reader ... | [
{
"created": "Wed, 21 Jun 2023 13:04:30 GMT",
"version": "v1"
},
{
"created": "Mon, 3 Jul 2023 09:03:22 GMT",
"version": "v2"
},
{
"created": "Wed, 10 Jan 2024 17:48:25 GMT",
"version": "v3"
},
{
"created": "Wed, 20 Mar 2024 03:51:23 GMT",
"version": "v4"
}
] | 2024-03-21 | [
[
"Li",
"Yinghui",
""
],
[
"Jiang",
"Yong",
""
],
[
"Li",
"Yangning",
""
],
[
"Lu",
"Xingyu",
""
],
[
"Xie",
"Pengjun",
""
],
[
"Shen",
"Ying",
""
],
[
"Zheng",
"Hai-Tao",
""
]
] | Entity Linking (EL) is a fundamental task for Information Extraction and Knowledge Graphs. The general form of EL (i.e., end-to-end EL) aims to first find mentions in the given input document and then link the mentions to corresponding entities in a specific knowledge base. Recently, the paradigm of retriever-reader pr... |
2307.03630 | B\'alint Zolt\'an Dar\'oczy | D\'aniel R\'acz and Mih\'aly Petreczky and B\'alint Dar\'oczy | PAC bounds of continuous Linear Parameter-Varying systems related to
neural ODEs | 12 pages | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | We consider the problem of learning Neural Ordinary Differential Equations
(neural ODEs) within the context of Linear Parameter-Varying (LPV) systems in
continuous-time. LPV systems contain bilinear systems which are known to be
universal approximators for non-linear systems. Moreover, a large class of
neural ODEs ca... | [
{
"created": "Fri, 7 Jul 2023 14:39:18 GMT",
"version": "v1"
}
] | 2023-07-10 | [
[
"Rácz",
"Dániel",
""
],
[
"Petreczky",
"Mihály",
""
],
[
"Daróczy",
"Bálint",
""
]
] | We consider the problem of learning Neural Ordinary Differential Equations (neural ODEs) within the context of Linear Parameter-Varying (LPV) systems in continuous-time. LPV systems contain bilinear systems which are known to be universal approximators for non-linear systems. Moreover, a large class of neural ODEs can ... |
2008.02456 | Hao Guo | Hao Guo, Zhenchang Xing, Xiaohong Li | Predicting Missing Information of Key Aspects in Vulnerability Reports | null | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Software vulnerabilities have been continually disclosed and documented. An
important practice in documenting vulnerabilities is to describe the key
vulnerability aspects, such as vulnerability type, root cause, affected
product, impact, attacker type and attack vector, for the effective search and
management of fast... | [
{
"created": "Thu, 6 Aug 2020 04:53:33 GMT",
"version": "v1"
}
] | 2020-08-07 | [
[
"Guo",
"Hao",
""
],
[
"Xing",
"Zhenchang",
""
],
[
"Li",
"Xiaohong",
""
]
] | Software vulnerabilities have been continually disclosed and documented. An important practice in documenting vulnerabilities is to describe the key vulnerability aspects, such as vulnerability type, root cause, affected product, impact, attacker type and attack vector, for the effective search and management of fast-g... |
2201.07197 | Uri Zwick | Robert E. Tarjan, Uri Zwick | Finding Strong Components Using Depth-First Search | 27 pages. In memory of Pierre Rosenstiehl. A slightly revised version | null | null | null | cs.DS | http://creativecommons.org/licenses/by/4.0/ | We survey three algorithms that use depth-first search to find the strong
components of a directed graph in linear time: (1) Tarjan's algorithm; (2) a
cycle-finding algorithm; and (3) a bidirectional search algorithm.
| [
{
"created": "Tue, 18 Jan 2022 18:48:58 GMT",
"version": "v1"
},
{
"created": "Thu, 24 Mar 2022 18:30:50 GMT",
"version": "v2"
},
{
"created": "Mon, 11 Apr 2022 16:08:24 GMT",
"version": "v3"
}
] | 2022-04-12 | [
[
"Tarjan",
"Robert E.",
""
],
[
"Zwick",
"Uri",
""
]
] | We survey three algorithms that use depth-first search to find the strong components of a directed graph in linear time: (1) Tarjan's algorithm; (2) a cycle-finding algorithm; and (3) a bidirectional search algorithm. |
2109.14830 | Masataro Asai | Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack
Kaelbling, Shirin Sohrabi, Michael Katz | Reinforcement Learning for Classical Planning: Viewing Heuristics as
Dense Reward Generators | Equal contributions by the first two authors. This manuscript is a
camera-ready version accepted in ICAPS-2022. It is significantly updated from
past versions (e.g., in the ICAPS PRL (Planning and RL) workshop) with
additional experiments comparing existing work (STRIPS-HGN (Shen, Trevizan,
and Thiebaux 2020) a... | null | null | null | cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advances in reinforcement learning (RL) have led to a growing interest
in applying RL to classical planning domains or applying classical planning
methods to some complex RL domains. However, the long-horizon goal-based
problems found in classical planning lead to sparse rewards for RL, making
direct applicati... | [
{
"created": "Thu, 30 Sep 2021 03:36:01 GMT",
"version": "v1"
},
{
"created": "Mon, 7 Mar 2022 18:51:01 GMT",
"version": "v2"
}
] | 2022-03-08 | [
[
"Gehring",
"Clement",
""
],
[
"Asai",
"Masataro",
""
],
[
"Chitnis",
"Rohan",
""
],
[
"Silver",
"Tom",
""
],
[
"Kaelbling",
"Leslie Pack",
""
],
[
"Sohrabi",
"Shirin",
""
],
[
"Katz",
"Michael",
""
]
] | Recent advances in reinforcement learning (RL) have led to a growing interest in applying RL to classical planning domains or applying classical planning methods to some complex RL domains. However, the long-horizon goal-based problems found in classical planning lead to sparse rewards for RL, making direct application... |
2311.05646 | Sean Hooten | Sean Hooten, Peng Sun, Liron Gantz, Marco Fiorentino, Raymond G.
Beausoleil, Thomas Van Vaerenbergh | Automatic differentiation accelerated shape optimization approaches to
photonic inverse design on rectilinear simulation grids | 29 pages, 15 figures | null | null | null | cs.CE physics.optics | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Shape optimization approaches to inverse design offer low-dimensional,
physically-guided parameterizations of structures by representing them as
combinations of shape primitives. However, on discretized rectilinear
simulation grids, computing the gradient of a user objective via the adjoint
variables method requires ... | [
{
"created": "Tue, 7 Nov 2023 06:46:59 GMT",
"version": "v1"
}
] | 2023-11-13 | [
[
"Hooten",
"Sean",
""
],
[
"Sun",
"Peng",
""
],
[
"Gantz",
"Liron",
""
],
[
"Fiorentino",
"Marco",
""
],
[
"Beausoleil",
"Raymond G.",
""
],
[
"Van Vaerenbergh",
"Thomas",
""
]
] | Shape optimization approaches to inverse design offer low-dimensional, physically-guided parameterizations of structures by representing them as combinations of shape primitives. However, on discretized rectilinear simulation grids, computing the gradient of a user objective via the adjoint variables method requires a ... |
1202.4503 | Arvind Narayanan | Arvind Narayanan and Vincent Toubiana and Solon Barocas and Helen
Nissenbaum and Dan Boneh | A Critical Look at Decentralized Personal Data Architectures | null | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While the Internet was conceived as a decentralized network, the most widely
used web applications today tend toward centralization. Control increasingly
rests with centralized service providers who, as a consequence, have also
amassed unprecedented amounts of data about the behaviors and personalities of
individuals... | [
{
"created": "Tue, 21 Feb 2012 01:15:51 GMT",
"version": "v1"
}
] | 2012-02-22 | [
[
"Narayanan",
"Arvind",
""
],
[
"Toubiana",
"Vincent",
""
],
[
"Barocas",
"Solon",
""
],
[
"Nissenbaum",
"Helen",
""
],
[
"Boneh",
"Dan",
""
]
] | While the Internet was conceived as a decentralized network, the most widely used web applications today tend toward centralization. Control increasingly rests with centralized service providers who, as a consequence, have also amassed unprecedented amounts of data about the behaviors and personalities of individuals. ... |
1905.04447 | Zhao Song | Yin Tat Lee, Zhao Song, Qiuyi Zhang | Solving Empirical Risk Minimization in the Current Matrix Multiplication
Time | null | null | null | null | cs.DS cs.LG math.OC stat.ML | http://creativecommons.org/licenses/by-sa/4.0/ | Many convex problems in machine learning and computer science share the same
form: \begin{align*} \min_{x} \sum_{i} f_i( A_i x + b_i), \end{align*} where
$f_i$ are convex functions on $\mathbb{R}^{n_i}$ with constant $n_i$, $A_i \in
\mathbb{R}^{n_i \times d}$, $b_i \in \mathbb{R}^{n_i}$ and $\sum_i n_i = n$.
This pro... | [
{
"created": "Sat, 11 May 2019 04:42:16 GMT",
"version": "v1"
}
] | 2019-05-14 | [
[
"Lee",
"Yin Tat",
""
],
[
"Song",
"Zhao",
""
],
[
"Zhang",
"Qiuyi",
""
]
] | Many convex problems in machine learning and computer science share the same form: \begin{align*} \min_{x} \sum_{i} f_i( A_i x + b_i), \end{align*} where $f_i$ are convex functions on $\mathbb{R}^{n_i}$ with constant $n_i$, $A_i \in \mathbb{R}^{n_i \times d}$, $b_i \in \mathbb{R}^{n_i}$ and $\sum_i n_i = n$. This probl... |
2306.01855 | Joel Ruben Antony Moniz | Jiarui Lu, Bo-Hsiang Tseng, Joel Ruben Antony Moniz, Site Li, Xueyun
Zhu, Hong Yu, Murat Akbacak | 5IDER: Unified Query Rewriting for Steering, Intent Carryover,
Disfluencies, Entity Carryover and Repair | Interspeech 2023 | null | 10.21437/Interspeech.2023-1038 | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Providing voice assistants the ability to navigate multi-turn conversations
is a challenging problem. Handling multi-turn interactions requires the system
to understand various conversational use-cases, such as steering, intent
carryover, disfluencies, entity carryover, and repair. The complexity of this
problem is c... | [
{
"created": "Fri, 2 Jun 2023 18:17:52 GMT",
"version": "v1"
}
] | 2023-10-30 | [
[
"Lu",
"Jiarui",
""
],
[
"Tseng",
"Bo-Hsiang",
""
],
[
"Moniz",
"Joel Ruben Antony",
""
],
[
"Li",
"Site",
""
],
[
"Zhu",
"Xueyun",
""
],
[
"Yu",
"Hong",
""
],
[
"Akbacak",
"Murat",
""
]
] | Providing voice assistants the ability to navigate multi-turn conversations is a challenging problem. Handling multi-turn interactions requires the system to understand various conversational use-cases, such as steering, intent carryover, disfluencies, entity carryover, and repair. The complexity of this problem is com... |
2007.03433 | Jin Guo | Jin Guo | Decentralized Deep Reinforcement Learning for Network Level Traffic
Signal Control | null | null | null | null | cs.LG cs.AI eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this thesis, I propose a family of fully decentralized deep multi-agent
reinforcement learning (MARL) algorithms to achieve high, real-time performance
in network-level traffic signal control. In this approach, each intersection is
modeled as an agent that plays a Markovian Game against the other intersection
node... | [
{
"created": "Thu, 2 Jul 2020 06:58:27 GMT",
"version": "v1"
},
{
"created": "Fri, 17 Jul 2020 23:15:45 GMT",
"version": "v2"
}
] | 2020-07-21 | [
[
"Guo",
"Jin",
""
]
] | In this thesis, I propose a family of fully decentralized deep multi-agent reinforcement learning (MARL) algorithms to achieve high, real-time performance in network-level traffic signal control. In this approach, each intersection is modeled as an agent that plays a Markovian Game against the other intersection nodes ... |
1804.08803 | Fei Hu | Fei Hu, Jiong Du, Du Xu | Optimized Deployment of Network Function for Resource Pooling Switch | 6 pages | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The disadvantages of the combination of traditional switches and middleboxes
have being exposed under the condition of increasingly various network function
demands,such as function flexibility, performance scalability and resource
utilization. To solve this problem, we design Resource Pooling Switch
Architecture (RP... | [
{
"created": "Tue, 24 Apr 2018 01:43:39 GMT",
"version": "v1"
}
] | 2018-04-25 | [
[
"Hu",
"Fei",
""
],
[
"Du",
"Jiong",
""
],
[
"Xu",
"Du",
""
]
] | The disadvantages of the combination of traditional switches and middleboxes have being exposed under the condition of increasingly various network function demands,such as function flexibility, performance scalability and resource utilization. To solve this problem, we design Resource Pooling Switch Architecture (RPSA... |
2308.04402 | Shafiq Ahmad | Shafiq Ahmad, Pietro Morerio, Alessio Del Bue | Person Re-Identification without Identification via Event Anonymization | Accepted at International Conference on Computer Vision (ICCV), 2023 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Wide-scale use of visual surveillance in public spaces puts individual
privacy at stake while increasing resource consumption (energy, bandwidth, and
computation). Neuromorphic vision sensors (event-cameras) have been recently
considered a valid solution to the privacy issue because they do not capture
detailed RGB v... | [
{
"created": "Tue, 8 Aug 2023 17:04:53 GMT",
"version": "v1"
},
{
"created": "Wed, 9 Aug 2023 13:15:37 GMT",
"version": "v2"
},
{
"created": "Fri, 11 Aug 2023 01:21:44 GMT",
"version": "v3"
},
{
"created": "Thu, 17 Aug 2023 23:00:58 GMT",
"version": "v4"
}
] | 2023-08-21 | [
[
"Ahmad",
"Shafiq",
""
],
[
"Morerio",
"Pietro",
""
],
[
"Del Bue",
"Alessio",
""
]
] | Wide-scale use of visual surveillance in public spaces puts individual privacy at stake while increasing resource consumption (energy, bandwidth, and computation). Neuromorphic vision sensors (event-cameras) have been recently considered a valid solution to the privacy issue because they do not capture detailed RGB vis... |
2112.08261 | Juan Camilo V\'asquez-Correa | Juan Camilo Vasquez-Correa, Juan Carlos Guerrero-Sierra, Jose Luis
Pemberty-Tamayo, Juan Esteban Jaramillo, Andres Felipe Tejada-Castro | One System to Rule them All: a Universal Intent Recognition System for
Customer Service Chatbots | null | null | null | null | cs.HC cs.CL | http://creativecommons.org/publicdomain/zero/1.0/ | Customer service chatbots are conversational systems designed to provide
information to customers about products/services offered by different
companies. Particularly, intent recognition is one of the core components in
the natural language understating capabilities of a chatbot system. Among the
different intents th... | [
{
"created": "Wed, 15 Dec 2021 16:45:55 GMT",
"version": "v1"
}
] | 2021-12-16 | [
[
"Vasquez-Correa",
"Juan Camilo",
""
],
[
"Guerrero-Sierra",
"Juan Carlos",
""
],
[
"Pemberty-Tamayo",
"Jose Luis",
""
],
[
"Jaramillo",
"Juan Esteban",
""
],
[
"Tejada-Castro",
"Andres Felipe",
""
]
] | Customer service chatbots are conversational systems designed to provide information to customers about products/services offered by different companies. Particularly, intent recognition is one of the core components in the natural language understating capabilities of a chatbot system. Among the different intents that... |
2111.02662 | Trent Muhr | Wensheng Zhang, Trent Muhr | TEE-based Selective Testing of Local Workers in Federated Learning
Systems | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper considers a federated learning system composed of a central
coordinating server and multiple distributed local workers, all having access
to trusted execution environments (TEEs). In order to ensure that the untrusted
workers correctly perform local learning, we propose a new TEE-based approach
that also c... | [
{
"created": "Thu, 4 Nov 2021 07:02:58 GMT",
"version": "v1"
}
] | 2021-11-05 | [
[
"Zhang",
"Wensheng",
""
],
[
"Muhr",
"Trent",
""
]
] | This paper considers a federated learning system composed of a central coordinating server and multiple distributed local workers, all having access to trusted execution environments (TEEs). In order to ensure that the untrusted workers correctly perform local learning, we propose a new TEE-based approach that also com... |
2002.03388 | Shushan Arakelyan | Shushan Arakelyan, Sima Arasteh, Christophe Hauser, Erik Kline and
Aram Galstyan | Bin2vec: Learning Representations of Binary Executable Programs for
Security Tasks | null | null | null | null | cs.CR cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Tackling binary program analysis problems has traditionally implied manually
defining rules and heuristics, a tedious and time-consuming task for human
analysts. In order to improve automation and scalability, we propose an
alternative direction based on distributed representations of binary programs
with applicabili... | [
{
"created": "Sun, 9 Feb 2020 15:46:43 GMT",
"version": "v1"
},
{
"created": "Sat, 22 May 2021 17:27:57 GMT",
"version": "v2"
}
] | 2021-05-25 | [
[
"Arakelyan",
"Shushan",
""
],
[
"Arasteh",
"Sima",
""
],
[
"Hauser",
"Christophe",
""
],
[
"Kline",
"Erik",
""
],
[
"Galstyan",
"Aram",
""
]
] | Tackling binary program analysis problems has traditionally implied manually defining rules and heuristics, a tedious and time-consuming task for human analysts. In order to improve automation and scalability, we propose an alternative direction based on distributed representations of binary programs with applicability... |
1809.02665 | Michael Jacobs | Sanghyun Choi, Nikita Ivkin, Vladimir Braverman, Michael A. Jacobs | DreamNLP: Novel NLP System for Clinical Report Metadata Extraction using
Count Sketch Data Streaming Algorithm: Preliminary Results | 13 pages, 3 figures, US patent | null | null | null | cs.LG eess.AS stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Extracting information from electronic health records (EHR) is a challenging
task since it requires prior knowledge of the reports and some natural language
processing algorithm (NLP). With the growing number of EHR implementations,
such knowledge is increasingly challenging to obtain in an efficient manner. We
addre... | [
{
"created": "Sun, 26 Aug 2018 01:42:29 GMT",
"version": "v1"
}
] | 2019-08-02 | [
[
"Choi",
"Sanghyun",
""
],
[
"Ivkin",
"Nikita",
""
],
[
"Braverman",
"Vladimir",
""
],
[
"Jacobs",
"Michael A.",
""
]
] | Extracting information from electronic health records (EHR) is a challenging task since it requires prior knowledge of the reports and some natural language processing algorithm (NLP). With the growing number of EHR implementations, such knowledge is increasingly challenging to obtain in an efficient manner. We address... |
2310.11417 | Xiao Wang | Bo Jiang, Zitian Wang, Xixi Wang, Ziyan Zhang, Lan Chen, Xiao Wang,
Bin Luo | VcT: Visual change Transformer for Remote Sensing Image Change Detection | Accepted by IEEE Transactions on Geoscience and Remote Sensing (TGRS)
2023 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Existing visual change detectors usually adopt CNNs or Transformers for
feature representation learning and focus on learning effective representation
for the changed regions between images. Although good performance can be
obtained by enhancing the features of the change regions, however, these works
are still limit... | [
{
"created": "Tue, 17 Oct 2023 17:25:31 GMT",
"version": "v1"
}
] | 2023-10-18 | [
[
"Jiang",
"Bo",
""
],
[
"Wang",
"Zitian",
""
],
[
"Wang",
"Xixi",
""
],
[
"Zhang",
"Ziyan",
""
],
[
"Chen",
"Lan",
""
],
[
"Wang",
"Xiao",
""
],
[
"Luo",
"Bin",
""
]
] | Existing visual change detectors usually adopt CNNs or Transformers for feature representation learning and focus on learning effective representation for the changed regions between images. Although good performance can be obtained by enhancing the features of the change regions, however, these works are still limited... |
1804.09808 | Paolo Frasconi | Tijn Borghuis, Alessandro Tibo, Simone Conforti, Luca Canciello,
Lorenzo Brusci, Paolo Frasconi | Off the Beaten Track: Using Deep Learning to Interpolate Between Music
Genres | null | null | null | null | cs.SD cs.LG cs.MM eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We describe a system based on deep learning that generates drum patterns in
the electronic dance music domain. Experimental results reveal that generated
patterns can be employed to produce musically sound and creative transitions
between different genres, and that the process of generation is of interest to
practiti... | [
{
"created": "Wed, 25 Apr 2018 21:39:39 GMT",
"version": "v1"
},
{
"created": "Wed, 2 May 2018 16:56:08 GMT",
"version": "v2"
}
] | 2018-05-03 | [
[
"Borghuis",
"Tijn",
""
],
[
"Tibo",
"Alessandro",
""
],
[
"Conforti",
"Simone",
""
],
[
"Canciello",
"Luca",
""
],
[
"Brusci",
"Lorenzo",
""
],
[
"Frasconi",
"Paolo",
""
]
] | We describe a system based on deep learning that generates drum patterns in the electronic dance music domain. Experimental results reveal that generated patterns can be employed to produce musically sound and creative transitions between different genres, and that the process of generation is of interest to practition... |
2105.09413 | Mateus de Oliveira Oliveira | Emmanuel Arrighi, Henning Fernau, Daniel Lokshtanov, Mateus de
Oliveira Oliveira, Petra Wolf | Diversity in Kemeny Rank Aggregation: A Parameterized Approach | Accepted to the 30th International Joint Conference on Artificial
Intelligence (IJCAI 2021) | null | null | null | cs.AI cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In its most traditional setting, the main concern of optimization theory is
the search for optimal solutions for instances of a given computational
problem. A recent trend of research in artificial intelligence, called solution
diversity, has focused on the development of notions of optimality that may be
more approp... | [
{
"created": "Wed, 19 May 2021 21:50:03 GMT",
"version": "v1"
}
] | 2021-05-21 | [
[
"Arrighi",
"Emmanuel",
""
],
[
"Fernau",
"Henning",
""
],
[
"Lokshtanov",
"Daniel",
""
],
[
"Oliveira",
"Mateus de Oliveira",
""
],
[
"Wolf",
"Petra",
""
]
] | In its most traditional setting, the main concern of optimization theory is the search for optimal solutions for instances of a given computational problem. A recent trend of research in artificial intelligence, called solution diversity, has focused on the development of notions of optimality that may be more appropri... |
2308.11161 | Thanh Dat Nguyen | Thanh-Dat Nguyen, Yang Zhou, Xuan Bach D. Le, Patanamon (Pick)
Thongtanunam, David Lo | Adversarial Attacks on Code Models with Discriminative Graph Patterns | null | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Pre-trained language models of code are now widely used in various software
engineering tasks such as code generation, code completion, vulnerability
detection, etc. This, in turn, poses security and reliability risks to these
models. One of the important threats is \textit{adversarial attacks}, which can
lead to err... | [
{
"created": "Tue, 22 Aug 2023 03:40:34 GMT",
"version": "v1"
}
] | 2023-08-23 | [
[
"Nguyen",
"Thanh-Dat",
"",
"Pick"
],
[
"Zhou",
"Yang",
"",
"Pick"
],
[
"Le",
"Xuan Bach D.",
"",
"Pick"
],
[
"Patanamon",
"",
"",
"Pick"
],
[
"Thongtanunam",
"",
""
],
[
"Lo",
"David",
""
]
] | Pre-trained language models of code are now widely used in various software engineering tasks such as code generation, code completion, vulnerability detection, etc. This, in turn, poses security and reliability risks to these models. One of the important threats is \textit{adversarial attacks}, which can lead to erron... |
2101.02573 | Hazem Soliman | Hazem M. Soliman, Geoff Salmon, Du\v{s}an Sovilj, Mohan Rao | RANK: AI-assisted End-to-End Architecture for Detecting Persistent
Attacks in Enterprise Networks | null | null | null | null | cs.CR cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Advanced Persistent Threats (APTs) are sophisticated multi-step attacks,
planned and executed by skilled adversaries targeting modern government and
enterprise networks. Intrusion Detection Systems (IDSs) and User and Entity
Behavior Analytics (UEBA) are commonly employed to aid a security analyst in
the detection of... | [
{
"created": "Wed, 6 Jan 2021 15:59:51 GMT",
"version": "v1"
}
] | 2021-01-08 | [
[
"Soliman",
"Hazem M.",
""
],
[
"Salmon",
"Geoff",
""
],
[
"Sovilj",
"Dušan",
""
],
[
"Rao",
"Mohan",
""
]
] | Advanced Persistent Threats (APTs) are sophisticated multi-step attacks, planned and executed by skilled adversaries targeting modern government and enterprise networks. Intrusion Detection Systems (IDSs) and User and Entity Behavior Analytics (UEBA) are commonly employed to aid a security analyst in the detection of A... |
2202.02906 | Junlong Lyu | Junlong Lyu, Zhitang Chen, Chang Feng, Wenjing Cun, Shengyu Zhu,
Yanhui Geng, Zhijie Xu, Yongwei Chen | Universality of parametric Coupling Flows over parametric
diffeomorphisms | 22 pages, 6 figures | null | null | null | cs.LG cs.AI math.DG math.FA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Invertible neural networks based on Coupling Flows CFlows) have various
applications such as image synthesis and data compression. The approximation
universality for CFlows is of paramount importance to ensure the model
expressiveness. In this paper, we prove that CFlows can approximate any
diffeomorphism in C^k-norm... | [
{
"created": "Mon, 7 Feb 2022 02:10:32 GMT",
"version": "v1"
},
{
"created": "Tue, 8 Feb 2022 07:32:34 GMT",
"version": "v2"
}
] | 2022-02-09 | [
[
"Lyu",
"Junlong",
""
],
[
"Chen",
"Zhitang",
""
],
[
"Feng",
"Chang",
""
],
[
"Cun",
"Wenjing",
""
],
[
"Zhu",
"Shengyu",
""
],
[
"Geng",
"Yanhui",
""
],
[
"Xu",
"Zhijie",
""
],
[
"Chen",
"Yongw... | Invertible neural networks based on Coupling Flows CFlows) have various applications such as image synthesis and data compression. The approximation universality for CFlows is of paramount importance to ensure the model expressiveness. In this paper, we prove that CFlows can approximate any diffeomorphism in C^k-norm i... |
2205.12381 | Siddharth Reddy | Siddharth Reddy, Sergey Levine, Anca D. Dragan | First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual
Information Maximization | Accepted to Neural Information Processing Systems (NeurIPS) 2022 | null | null | null | cs.LG cs.HC cs.RO | http://creativecommons.org/licenses/by/4.0/ | How can we train an assistive human-machine interface (e.g., an
electromyography-based limb prosthesis) to translate a user's raw command
signals into the actions of a robot or computer when there is no prior mapping,
we cannot ask the user for supervision in the form of action labels or reward
feedback, and we do no... | [
{
"created": "Tue, 24 May 2022 21:57:18 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Sep 2022 03:08:54 GMT",
"version": "v2"
}
] | 2022-09-16 | [
[
"Reddy",
"Siddharth",
""
],
[
"Levine",
"Sergey",
""
],
[
"Dragan",
"Anca D.",
""
]
] | How can we train an assistive human-machine interface (e.g., an electromyography-based limb prosthesis) to translate a user's raw command signals into the actions of a robot or computer when there is no prior mapping, we cannot ask the user for supervision in the form of action labels or reward feedback, and we do not ... |
2101.05951 | Houwang Tu | Tu Houwang, Wang Yongxian, Xiao Wenbin, Lan Qiang, Liu Wei | Two Chebyshev Spectral Methods for Solving Normal Modes in Atmospheric
Acoustics | 10 pages, 8 figures and 3 tables | null | 10.3390/e23060705 | null | cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The normal mode model is important in computational atmospheric acoustics. It
is often used to compute the atmospheric acoustic field under a harmonic point
source. Its solution consists of a set of discrete modes radiating into the
upper atmosphere, usually related to the continuous spectrum. In this article,
we pre... | [
{
"created": "Fri, 15 Jan 2021 03:16:24 GMT",
"version": "v1"
}
] | 2021-06-04 | [
[
"Houwang",
"Tu",
""
],
[
"Yongxian",
"Wang",
""
],
[
"Wenbin",
"Xiao",
""
],
[
"Qiang",
"Lan",
""
],
[
"Wei",
"Liu",
""
]
] | The normal mode model is important in computational atmospheric acoustics. It is often used to compute the atmospheric acoustic field under a harmonic point source. Its solution consists of a set of discrete modes radiating into the upper atmosphere, usually related to the continuous spectrum. In this article, we prese... |
2001.08980 | Alexandr Grichshenko | Barakat. J. Akinsanya, Luiz J.P. Ara\'ujo, Mariia Charikova, Susanna
Gimaeva, Alexandr Grichshenko, Adil Khan, Manuel Mazzara, Ozioma Okonicha N
and Daniil Shilintsev | Machine Learning and value generation in Software Development: a survey | To be published in the proceeding of International Conference on
Software Testing, Machine Learning and Complex Process Analysis (TMPA-2019) | null | 10.13140/RG.2.2.35867.62243 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Machine Learning (ML) has become a ubiquitous tool for predicting and
classifying data and has found application in several problem domains,
including Software Development (SD). This paper reviews the literature between
2000 and 2019 on the use the learning models that have been employed for
programming effort estima... | [
{
"created": "Thu, 23 Jan 2020 11:56:10 GMT",
"version": "v1"
}
] | 2020-01-27 | [
[
"Akinsanya",
"Barakat. J.",
""
],
[
"Araújo",
"Luiz J. P.",
""
],
[
"Charikova",
"Mariia",
""
],
[
"Gimaeva",
"Susanna",
""
],
[
"Grichshenko",
"Alexandr",
""
],
[
"Khan",
"Adil",
""
],
[
"Mazzara",
"Manuel",
... | Machine Learning (ML) has become a ubiquitous tool for predicting and classifying data and has found application in several problem domains, including Software Development (SD). This paper reviews the literature between 2000 and 2019 on the use the learning models that have been employed for programming effort estimati... |
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