id stringlengths 9 10 | submitter stringlengths 1 64 ⌀ | authors stringlengths 4 20.7k | title stringlengths 4 246 | comments stringlengths 1 523 ⌀ | journal-ref stringlengths 4 404 ⌀ | doi stringlengths 11 153 ⌀ | report-no stringlengths 2 254 ⌀ | categories stringlengths 5 98 | license stringclasses 9
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2310.10047 | Yixin Liu | Yixin Liu, Avi Singh, C. Daniel Freeman, John D. Co-Reyes, Peter J.
Liu | Improving Large Language Model Fine-tuning for Solving Math Problems | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Despite their success in many natural language tasks, solving math problems
remains a significant challenge for large language models (LLMs). A large gap
exists between LLMs' pass-at-one and pass-at-N performance in solving math
problems, suggesting LLMs might be close to finding correct solutions,
motivating our exp... | [
{
"created": "Mon, 16 Oct 2023 04:11:19 GMT",
"version": "v1"
}
] | 2023-10-17 | [
[
"Liu",
"Yixin",
""
],
[
"Singh",
"Avi",
""
],
[
"Freeman",
"C. Daniel",
""
],
[
"Co-Reyes",
"John D.",
""
],
[
"Liu",
"Peter J.",
""
]
] | Despite their success in many natural language tasks, solving math problems remains a significant challenge for large language models (LLMs). A large gap exists between LLMs' pass-at-one and pass-at-N performance in solving math problems, suggesting LLMs might be close to finding correct solutions, motivating our explo... |
2307.14632 | G\"ozde G\"ul \c{S}ahin | Subha Vadlamannati, G\"ozde G\"ul \c{S}ahin | Metric-Based In-context Learning: A Case Study in Text Simplification | Accepted to INLG | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | In-context learning (ICL) for large language models has proven to be a
powerful approach for many natural language processing tasks. However,
determining the best method to select examples for ICL is nontrivial as the
results can vary greatly depending on the quality, quantity, and order of
examples used. In this pap... | [
{
"created": "Thu, 27 Jul 2023 05:45:35 GMT",
"version": "v1"
}
] | 2023-07-28 | [
[
"Vadlamannati",
"Subha",
""
],
[
"Şahin",
"Gözde Gül",
""
]
] | In-context learning (ICL) for large language models has proven to be a powerful approach for many natural language processing tasks. However, determining the best method to select examples for ICL is nontrivial as the results can vary greatly depending on the quality, quantity, and order of examples used. In this paper... |
1312.3372 | Giorgi Japaridze | Giorgi Japaridze | On resources and tasks | null | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Essentially being an extended abstract of the author's 1998 PhD thesis, this
paper introduces an extension of the language of linear logic with a semantics
which treats sentences as tasks rather than true/false statements. A resource
is understood as an agent capable of accomplishing the task expressed by such a
sent... | [
{
"created": "Wed, 11 Dec 2013 23:39:01 GMT",
"version": "v1"
}
] | 2013-12-13 | [
[
"Japaridze",
"Giorgi",
""
]
] | Essentially being an extended abstract of the author's 1998 PhD thesis, this paper introduces an extension of the language of linear logic with a semantics which treats sentences as tasks rather than true/false statements. A resource is understood as an agent capable of accomplishing the task expressed by such a senten... |
1905.07350 | Edvinas Byla | Edvinas Byla and Wei Pang | DeepSwarm: Optimising Convolutional Neural Networks using Swarm
Intelligence | 13 pages, 6 figures, to access DeepSwarm code go to
https://github.com/Pattio/DeepSwarm | null | null | null | cs.LG cs.NE stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we propose DeepSwarm, a novel neural architecture search (NAS)
method based on Swarm Intelligence principles. At its core DeepSwarm uses Ant
Colony Optimization (ACO) to generate ant population which uses the pheromone
information to collectively search for the best neural architecture.
Furthermore, by ... | [
{
"created": "Fri, 17 May 2019 16:13:38 GMT",
"version": "v1"
}
] | 2019-05-20 | [
[
"Byla",
"Edvinas",
""
],
[
"Pang",
"Wei",
""
]
] | In this paper we propose DeepSwarm, a novel neural architecture search (NAS) method based on Swarm Intelligence principles. At its core DeepSwarm uses Ant Colony Optimization (ACO) to generate ant population which uses the pheromone information to collectively search for the best neural architecture. Furthermore, by us... |
2306.15927 | Arash Hajisafi | Arash Hajisafi, Haowen Lin, Sina Shaham, Haoji Hu, Maria Despoina
Siampou, Yao-Yi Chiang, Cyrus Shahabi | Learning Dynamic Graphs from All Contextual Information for Accurate
Point-of-Interest Visit Forecasting | null | null | 10.1145/3589132.3625567 | null | cs.LG cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Forecasting the number of visits to Points-of-Interest (POI) in an urban area
is critical for planning and decision-making for various application domains,
from urban planning and transportation management to public health and social
studies. Although this forecasting problem can be formulated as a multivariate
time-... | [
{
"created": "Wed, 28 Jun 2023 05:14:03 GMT",
"version": "v1"
},
{
"created": "Fri, 29 Sep 2023 02:02:28 GMT",
"version": "v2"
}
] | 2023-10-02 | [
[
"Hajisafi",
"Arash",
""
],
[
"Lin",
"Haowen",
""
],
[
"Shaham",
"Sina",
""
],
[
"Hu",
"Haoji",
""
],
[
"Siampou",
"Maria Despoina",
""
],
[
"Chiang",
"Yao-Yi",
""
],
[
"Shahabi",
"Cyrus",
""
]
] | Forecasting the number of visits to Points-of-Interest (POI) in an urban area is critical for planning and decision-making for various application domains, from urban planning and transportation management to public health and social studies. Although this forecasting problem can be formulated as a multivariate time-se... |
2312.03692 | Ali Naseh | Ali Naseh, Jaechul Roh, Amir Houmansadr | Memory Triggers: Unveiling Memorization in Text-To-Image Generative
Models through Word-Level Duplication | null | null | null | null | cs.CR cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Diffusion-based models, such as the Stable Diffusion model, have
revolutionized text-to-image synthesis with their ability to produce
high-quality, high-resolution images. These advancements have prompted
significant progress in image generation and editing tasks. However, these
models also raise concerns due to thei... | [
{
"created": "Wed, 6 Dec 2023 18:54:44 GMT",
"version": "v1"
}
] | 2023-12-07 | [
[
"Naseh",
"Ali",
""
],
[
"Roh",
"Jaechul",
""
],
[
"Houmansadr",
"Amir",
""
]
] | Diffusion-based models, such as the Stable Diffusion model, have revolutionized text-to-image synthesis with their ability to produce high-quality, high-resolution images. These advancements have prompted significant progress in image generation and editing tasks. However, these models also raise concerns due to their ... |
2012.13620 | Sagar Gubbi | Sagar Gubbi Venkatesh and Raviteja Upadrashta and Shishir Kolathaya
and Bharadwaj Amrutur | Teaching Robots Novel Objects by Pointing at Them | null | null | 10.1109/RO-MAN47096.2020.9223596 | null | cs.RO cs.CV cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Robots that must operate in novel environments and collaborate with humans
must be capable of acquiring new knowledge from human experts during operation.
We propose teaching a robot novel objects it has not encountered before by
pointing a hand at the new object of interest. An end-to-end neural network is
used to a... | [
{
"created": "Fri, 25 Dec 2020 20:01:25 GMT",
"version": "v1"
}
] | 2020-12-29 | [
[
"Venkatesh",
"Sagar Gubbi",
""
],
[
"Upadrashta",
"Raviteja",
""
],
[
"Kolathaya",
"Shishir",
""
],
[
"Amrutur",
"Bharadwaj",
""
]
] | Robots that must operate in novel environments and collaborate with humans must be capable of acquiring new knowledge from human experts during operation. We propose teaching a robot novel objects it has not encountered before by pointing a hand at the new object of interest. An end-to-end neural network is used to att... |
cs/0412118 | Chiranjeeb Buragohain | Chiranjeeb Buragohain, Divyakant Agrawal, Subhash Suri | Power Aware Routing for Sensor Databases | null | Proceedings of IEEE INFOCOM 2005, March 13-17, 2005 Miami | 10.1109/INFCOM.2005.1498455 | null | cs.NI cs.DC | null | Wireless sensor networks offer the potential to span and monitor large
geographical areas inexpensively. Sensor network databases like TinyDB are the
dominant architectures to extract and manage data in such networks. Since
sensors have significant power constraints (battery life), and high
communication costs, desig... | [
{
"created": "Thu, 30 Dec 2004 02:02:35 GMT",
"version": "v1"
}
] | 2016-11-17 | [
[
"Buragohain",
"Chiranjeeb",
""
],
[
"Agrawal",
"Divyakant",
""
],
[
"Suri",
"Subhash",
""
]
] | Wireless sensor networks offer the potential to span and monitor large geographical areas inexpensively. Sensor network databases like TinyDB are the dominant architectures to extract and manage data in such networks. Since sensors have significant power constraints (battery life), and high communication costs, design ... |
1102.3390 | Mayur Punekar | Mayur Punekar and Mark F. Flanagan | Trellis-Based Check Node Processing for Low-Complexity Nonbinary LP
Decoding | Submitted to 2011 IEEE International Symposium on Information Theory
(ISIT 2011) | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Linear Programming (LP) decoding is emerging as an attractive alternative to
decode Low-Density Parity-Check (LDPC) codes. However, the earliest LP decoders
proposed for binary and nonbinary LDPC codes are not suitable for use at
moderate and large code lengths. To overcome this problem, Vontobel et al.
developed an ... | [
{
"created": "Wed, 16 Feb 2011 18:13:38 GMT",
"version": "v1"
}
] | 2011-02-17 | [
[
"Punekar",
"Mayur",
""
],
[
"Flanagan",
"Mark F.",
""
]
] | Linear Programming (LP) decoding is emerging as an attractive alternative to decode Low-Density Parity-Check (LDPC) codes. However, the earliest LP decoders proposed for binary and nonbinary LDPC codes are not suitable for use at moderate and large code lengths. To overcome this problem, Vontobel et al. developed an it... |
2008.00363 | Satyananda Kashyap | Satyananda Kashyap, Alexandros Karargyris, Joy Wu, Yaniv Gur, Arjun
Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer Syeda-Mahmood | Looking in the Right place for Anomalies: Explainable AI through
Automatic Location Learning | 5 pages, Paper presented as a poster at the International Symposium
on Biomedical Imaging, 2020, Paper Number 655 | 2020 IEEE 17th International Symposium on Biomedical Imaging
(ISBI) | 10.1109/ISBI45749.2020.9098370 | null | cs.CV cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep learning has now become the de facto approach to the recognition of
anomalies in medical imaging. Their 'black box' way of classifying medical
images into anomaly labels poses problems for their acceptance, particularly
with clinicians. Current explainable AI methods offer justifications through
visualizations s... | [
{
"created": "Sun, 2 Aug 2020 00:02:37 GMT",
"version": "v1"
}
] | 2020-08-04 | [
[
"Kashyap",
"Satyananda",
""
],
[
"Karargyris",
"Alexandros",
""
],
[
"Wu",
"Joy",
""
],
[
"Gur",
"Yaniv",
""
],
[
"Sharma",
"Arjun",
""
],
[
"Wong",
"Ken C. L.",
""
],
[
"Moradi",
"Mehdi",
""
],
[
"... | Deep learning has now become the de facto approach to the recognition of anomalies in medical imaging. Their 'black box' way of classifying medical images into anomaly labels poses problems for their acceptance, particularly with clinicians. Current explainable AI methods offer justifications through visualizations suc... |
2001.09273 | Wei Zhang | Quan Yu, Jing Ren, Jiyan Zhang, Siyang Liu, Yinjin Fu, Ying Li, Linru
Ma, Jian Jing, and Wei Zhang | An Immunology-Inspired Network Security Architecture | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The coming 5G networks have been enabling the creation of a wide variety of
new services and applications which demand a new network security architecture.
Immunology is the study of the immune system in vertebrates (including humans)
which protects us from infection through various lines of defence. By studying
the ... | [
{
"created": "Sat, 25 Jan 2020 07:13:24 GMT",
"version": "v1"
}
] | 2020-01-28 | [
[
"Yu",
"Quan",
""
],
[
"Ren",
"Jing",
""
],
[
"Zhang",
"Jiyan",
""
],
[
"Liu",
"Siyang",
""
],
[
"Fu",
"Yinjin",
""
],
[
"Li",
"Ying",
""
],
[
"Ma",
"Linru",
""
],
[
"Jing",
"Jian",
""
],
... | The coming 5G networks have been enabling the creation of a wide variety of new services and applications which demand a new network security architecture. Immunology is the study of the immune system in vertebrates (including humans) which protects us from infection through various lines of defence. By studying the re... |
2402.05375 | Senmao Li | Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin
Hou, Yaxing Wang, Jian Yang | Get What You Want, Not What You Don't: Image Content Suppression for
Text-to-Image Diffusion Models | ICLR 2024. Our code is available in
https://github.com/sen-mao/SuppressEOT | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The success of recent text-to-image diffusion models is largely due to their
capacity to be guided by a complex text prompt, which enables users to
precisely describe the desired content. However, these models struggle to
effectively suppress the generation of undesired content, which is explicitly
requested to be om... | [
{
"created": "Thu, 8 Feb 2024 03:15:06 GMT",
"version": "v1"
}
] | 2024-02-09 | [
[
"Li",
"Senmao",
""
],
[
"van de Weijer",
"Joost",
""
],
[
"Hu",
"Taihang",
""
],
[
"Khan",
"Fahad Shahbaz",
""
],
[
"Hou",
"Qibin",
""
],
[
"Wang",
"Yaxing",
""
],
[
"Yang",
"Jian",
""
]
] | The success of recent text-to-image diffusion models is largely due to their capacity to be guided by a complex text prompt, which enables users to precisely describe the desired content. However, these models struggle to effectively suppress the generation of undesired content, which is explicitly requested to be omit... |
2103.05875 | Michael Stengel | Michael Stengel, Zander Majercik, Benjamin Boudaoud, Morgan McGuire | A Distributed, Decoupled System for Losslessly Streaming Dynamic Light
Probes to Thin Clients | 12 pages, 7 figures, 3 tables | null | null | null | cs.DC cs.GR | http://creativecommons.org/licenses/by-sa/4.0/ | We present a networked, high performance graphics system that combines
dynamic, high quality, ray traced global illumination computed on a server with
direct illumination and primary visibility computed on a client. This approach
provides many of the image quality benefits of real-time ray tracing on
low-power and le... | [
{
"created": "Wed, 10 Mar 2021 05:21:03 GMT",
"version": "v1"
}
] | 2021-03-11 | [
[
"Stengel",
"Michael",
""
],
[
"Majercik",
"Zander",
""
],
[
"Boudaoud",
"Benjamin",
""
],
[
"McGuire",
"Morgan",
""
]
] | We present a networked, high performance graphics system that combines dynamic, high quality, ray traced global illumination computed on a server with direct illumination and primary visibility computed on a client. This approach provides many of the image quality benefits of real-time ray tracing on low-power and lega... |
2106.15195 | Benjamin Marie | Benjamin Marie, Atsushi Fujita, Raphael Rubino | Scientific Credibility of Machine Translation Research: A
Meta-Evaluation of 769 Papers | Camera-ready for ACL2021 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | This paper presents the first large-scale meta-evaluation of machine
translation (MT). We annotated MT evaluations conducted in 769 research papers
published from 2010 to 2020. Our study shows that practices for automatic MT
evaluation have dramatically changed during the past decade and follow
concerning trends. An ... | [
{
"created": "Tue, 29 Jun 2021 09:30:17 GMT",
"version": "v1"
}
] | 2021-06-30 | [
[
"Marie",
"Benjamin",
""
],
[
"Fujita",
"Atsushi",
""
],
[
"Rubino",
"Raphael",
""
]
] | This paper presents the first large-scale meta-evaluation of machine translation (MT). We annotated MT evaluations conducted in 769 research papers published from 2010 to 2020. Our study shows that practices for automatic MT evaluation have dramatically changed during the past decade and follow concerning trends. An in... |
1804.08338 | Duyu Tang | Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng
Feng, Bing Qin, Ting Liu, Ming Zhou | Semantic Parsing with Syntax- and Table-Aware SQL Generation | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a generative model to map natural language questions into SQL
queries. Existing neural network based approaches typically generate a SQL
query word-by-word, however, a large portion of the generated results are
incorrect or not executable due to the mismatch between question words and
table contents. Our a... | [
{
"created": "Mon, 23 Apr 2018 11:18:47 GMT",
"version": "v1"
}
] | 2018-04-24 | [
[
"Sun",
"Yibo",
""
],
[
"Tang",
"Duyu",
""
],
[
"Duan",
"Nan",
""
],
[
"Ji",
"Jianshu",
""
],
[
"Cao",
"Guihong",
""
],
[
"Feng",
"Xiaocheng",
""
],
[
"Qin",
"Bing",
""
],
[
"Liu",
"Ting",
""... | We present a generative model to map natural language questions into SQL queries. Existing neural network based approaches typically generate a SQL query word-by-word, however, a large portion of the generated results are incorrect or not executable due to the mismatch between question words and table contents. Our app... |
1212.4777 | Ankur Moitra | Sanjeev Arora, Rong Ge, Yoni Halpern, David Mimno, Ankur Moitra, David
Sontag, Yichen Wu, Michael Zhu | A Practical Algorithm for Topic Modeling with Provable Guarantees | 26 pages | null | null | null | cs.LG cs.DS stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Topic models provide a useful method for dimensionality reduction and
exploratory data analysis in large text corpora. Most approaches to topic model
inference have been based on a maximum likelihood objective. Efficient
algorithms exist that approximate this objective, but they have no provable
guarantees. Recently,... | [
{
"created": "Wed, 19 Dec 2012 18:14:51 GMT",
"version": "v1"
}
] | 2012-12-20 | [
[
"Arora",
"Sanjeev",
""
],
[
"Ge",
"Rong",
""
],
[
"Halpern",
"Yoni",
""
],
[
"Mimno",
"David",
""
],
[
"Moitra",
"Ankur",
""
],
[
"Sontag",
"David",
""
],
[
"Wu",
"Yichen",
""
],
[
"Zhu",
"Micha... | Topic models provide a useful method for dimensionality reduction and exploratory data analysis in large text corpora. Most approaches to topic model inference have been based on a maximum likelihood objective. Efficient algorithms exist that approximate this objective, but they have no provable guarantees. Recently, a... |
2303.15735 | Jianping Zhang | Jianping Zhang, Jen-tse Huang, Wenxuan Wang, Yichen Li, Weibin Wu,
Xiaosen Wang, Yuxin Su, Michael R. Lyu | Improving the Transferability of Adversarial Samples by Path-Augmented
Method | 10 pages + appendix, CVPR 2023 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep neural networks have achieved unprecedented success on diverse vision
tasks. However, they are vulnerable to adversarial noise that is imperceptible
to humans. This phenomenon negatively affects their deployment in real-world
scenarios, especially security-related ones. To evaluate the robustness of a
target mod... | [
{
"created": "Tue, 28 Mar 2023 05:14:04 GMT",
"version": "v1"
}
] | 2023-03-29 | [
[
"Zhang",
"Jianping",
""
],
[
"Huang",
"Jen-tse",
""
],
[
"Wang",
"Wenxuan",
""
],
[
"Li",
"Yichen",
""
],
[
"Wu",
"Weibin",
""
],
[
"Wang",
"Xiaosen",
""
],
[
"Su",
"Yuxin",
""
],
[
"Lyu",
"Mich... | Deep neural networks have achieved unprecedented success on diverse vision tasks. However, they are vulnerable to adversarial noise that is imperceptible to humans. This phenomenon negatively affects their deployment in real-world scenarios, especially security-related ones. To evaluate the robustness of a target model... |
1206.1355 | Xiaowen Gong | Xiaowen Gong, Junshan Zhang, Douglas Cochran | A Coverage Theory of Bistatic Radar Networks: Worst-Case Intrusion Path
and Optimal Deployment | 12 pages | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we study optimal radar deployment for intrusion detection,
with focus on network coverage. In contrast to the disk-based sensing model in
a traditional sensor network, the detection range of a bistatic radar depends
on the locations of both the radar transmitter and radar receiver, and is
characterized... | [
{
"created": "Wed, 6 Jun 2012 21:33:06 GMT",
"version": "v1"
}
] | 2012-06-08 | [
[
"Gong",
"Xiaowen",
""
],
[
"Zhang",
"Junshan",
""
],
[
"Cochran",
"Douglas",
""
]
] | In this paper, we study optimal radar deployment for intrusion detection, with focus on network coverage. In contrast to the disk-based sensing model in a traditional sensor network, the detection range of a bistatic radar depends on the locations of both the radar transmitter and radar receiver, and is characterized b... |
1707.07278 | Besnik Fetahu | Besnik Fetahu and Katja Markert and Avishek Anand | Fine Grained Citation Span for References in Wikipedia | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | \emph{Verifiability} is one of the core editing principles in Wikipedia,
editors being encouraged to provide citations for the added content. For a
Wikipedia article, determining the \emph{citation span} of a citation, i.e.
what content is covered by a citation, is important as it helps decide for
which content citat... | [
{
"created": "Sun, 23 Jul 2017 10:43:26 GMT",
"version": "v1"
}
] | 2017-07-25 | [
[
"Fetahu",
"Besnik",
""
],
[
"Markert",
"Katja",
""
],
[
"Anand",
"Avishek",
""
]
] | \emph{Verifiability} is one of the core editing principles in Wikipedia, editors being encouraged to provide citations for the added content. For a Wikipedia article, determining the \emph{citation span} of a citation, i.e. what content is covered by a citation, is important as it helps decide for which content citatio... |
1907.05473 | Nikhil Bansal | Nikhil Bansal and Jatin Batra | Non-uniform Geometric Set Cover and Scheduling on Multiple Machines | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the following general scheduling problem studied recently by
Moseley. There are $n$ jobs, all released at time $0$, where job $j$ has size
$p_j$ and an associated arbitrary non-decreasing cost function $f_j$ of its
completion time. The goal is to find a schedule on $m$ machines with minimum
total cost. We... | [
{
"created": "Thu, 11 Jul 2019 20:10:16 GMT",
"version": "v1"
},
{
"created": "Fri, 17 Jul 2020 18:40:48 GMT",
"version": "v2"
}
] | 2020-07-21 | [
[
"Bansal",
"Nikhil",
""
],
[
"Batra",
"Jatin",
""
]
] | We consider the following general scheduling problem studied recently by Moseley. There are $n$ jobs, all released at time $0$, where job $j$ has size $p_j$ and an associated arbitrary non-decreasing cost function $f_j$ of its completion time. The goal is to find a schedule on $m$ machines with minimum total cost. We g... |
2302.01526 | Shin-Nosuke Ishikawa | Shin-nosuke Ishikawa, Masato Todo, Masato Taki, Yasunobu Uchiyama,
Kazunari Matsunaga, Peihsuan Lin, Taiki Ogihara, Masao Yasui | Example-Based Explainable AI and its Application for Remote Sensing
Image Classification | 10 pages, 4 figures, accepted for publication in International
Journal of Applied Earth Observation and Geoinformation | null | null | null | cs.AI cs.CV cs.LG physics.geo-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a method of explainable artificial intelligence (XAI), "What I
Know (WIK)", to provide additional information to verify the reliability of a
deep learning model by showing an example of an instance in a training dataset
that is similar to the input data to be inferred and demonstrate it in a remote
sensing... | [
{
"created": "Fri, 3 Feb 2023 03:48:43 GMT",
"version": "v1"
}
] | 2023-02-06 | [
[
"Ishikawa",
"Shin-nosuke",
""
],
[
"Todo",
"Masato",
""
],
[
"Taki",
"Masato",
""
],
[
"Uchiyama",
"Yasunobu",
""
],
[
"Matsunaga",
"Kazunari",
""
],
[
"Lin",
"Peihsuan",
""
],
[
"Ogihara",
"Taiki",
""
],... | We present a method of explainable artificial intelligence (XAI), "What I Know (WIK)", to provide additional information to verify the reliability of a deep learning model by showing an example of an instance in a training dataset that is similar to the input data to be inferred and demonstrate it in a remote sensing i... |
1512.01030 | V S R Veeravasarapu | V S R Veeravasarapu, Rudra Narayan Hota, Constantin Rothkopf, and
Ramesh Visvanathan | Simulations for Validation of Vision Systems | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As the computer vision matures into a systems science and engineering
discipline, there is a trend in leveraging latest advances in computer graphics
simulations for performance evaluation, learning, and inference. However, there
is an open question on the utility of graphics simulations for vision with
apparently co... | [
{
"created": "Thu, 3 Dec 2015 10:53:32 GMT",
"version": "v1"
}
] | 2015-12-04 | [
[
"Veeravasarapu",
"V S R",
""
],
[
"Hota",
"Rudra Narayan",
""
],
[
"Rothkopf",
"Constantin",
""
],
[
"Visvanathan",
"Ramesh",
""
]
] | As the computer vision matures into a systems science and engineering discipline, there is a trend in leveraging latest advances in computer graphics simulations for performance evaluation, learning, and inference. However, there is an open question on the utility of graphics simulations for vision with apparently cont... |
2210.01240 | Abulhair Saparov | Abulhair Saparov and He He | Language Models Are Greedy Reasoners: A Systematic Formal Analysis of
Chain-of-Thought | Published as a conference paper at ICLR 2023 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Large language models (LLMs) have shown remarkable reasoning capabilities
given chain-of-thought prompts (examples with intermediate reasoning steps).
Existing benchmarks measure reasoning ability indirectly, by evaluating
accuracy on downstream tasks such as mathematical reasoning. However, it is
unclear how these m... | [
{
"created": "Mon, 3 Oct 2022 21:34:32 GMT",
"version": "v1"
},
{
"created": "Wed, 25 Jan 2023 05:33:23 GMT",
"version": "v2"
},
{
"created": "Thu, 26 Jan 2023 02:18:52 GMT",
"version": "v3"
},
{
"created": "Thu, 2 Mar 2023 03:54:28 GMT",
"version": "v4"
}
] | 2023-03-03 | [
[
"Saparov",
"Abulhair",
""
],
[
"He",
"He",
""
]
] | Large language models (LLMs) have shown remarkable reasoning capabilities given chain-of-thought prompts (examples with intermediate reasoning steps). Existing benchmarks measure reasoning ability indirectly, by evaluating accuracy on downstream tasks such as mathematical reasoning. However, it is unclear how these mod... |
1811.09845 | Shikhar Sharma | Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, Devon Hjelm, Layla
El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W.Taylor | Tell, Draw, and Repeat: Generating and Modifying Images Based on
Continual Linguistic Instruction | Accepted at ICCV 2019 | Proceedings of the 2019 IEEE International Conference on Computer
Vision (ICCV) | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Conditional text-to-image generation is an active area of research, with many
possible applications. Existing research has primarily focused on generating a
single image from available conditioning information in one step. One practical
extension beyond one-step generation is a system that generates an image
iterativ... | [
{
"created": "Sat, 24 Nov 2018 14:42:18 GMT",
"version": "v1"
},
{
"created": "Mon, 1 Apr 2019 17:34:25 GMT",
"version": "v2"
},
{
"created": "Mon, 23 Sep 2019 15:14:05 GMT",
"version": "v3"
}
] | 2019-09-24 | [
[
"El-Nouby",
"Alaaeldin",
""
],
[
"Sharma",
"Shikhar",
""
],
[
"Schulz",
"Hannes",
""
],
[
"Hjelm",
"Devon",
""
],
[
"Asri",
"Layla El",
""
],
[
"Kahou",
"Samira Ebrahimi",
""
],
[
"Bengio",
"Yoshua",
""
]... | Conditional text-to-image generation is an active area of research, with many possible applications. Existing research has primarily focused on generating a single image from available conditioning information in one step. One practical extension beyond one-step generation is a system that generates an image iterativel... |
2304.05544 | Vikas Natesh | Andrew Sabot, Vikas Natesh, H.T. Kung, Wei-Te Ting | MEMA Runtime Framework: Minimizing External Memory Accesses for TinyML
on Microcontrollers | Accepted as a full paper by the TinyML Research Symposium 2023 | null | null | null | cs.LG cs.AR cs.PF cs.PL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | We present the MEMA framework for the easy and quick derivation of efficient
inference runtimes that minimize external memory accesses for matrix
multiplication on TinyML systems. The framework accounts for hardware resource
constraints and problem sizes in analytically determining optimized schedules
and kernels tha... | [
{
"created": "Wed, 12 Apr 2023 00:27:11 GMT",
"version": "v1"
}
] | 2023-04-13 | [
[
"Sabot",
"Andrew",
""
],
[
"Natesh",
"Vikas",
""
],
[
"Kung",
"H. T.",
""
],
[
"Ting",
"Wei-Te",
""
]
] | We present the MEMA framework for the easy and quick derivation of efficient inference runtimes that minimize external memory accesses for matrix multiplication on TinyML systems. The framework accounts for hardware resource constraints and problem sizes in analytically determining optimized schedules and kernels that ... |
1804.09003 | Zhuoyao Zhong | Zhuoyao Zhong, Lei Sun and Qiang Huo | An Anchor-Free Region Proposal Network for Faster R-CNN based Text
Detection Approaches | Technical report | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The anchor mechanism of Faster R-CNN and SSD framework is considered not
effective enough to scene text detection, which can be attributed to its IoU
based matching criterion between anchors and ground-truth boxes. In order to
better enclose scene text instances of various shapes, it requires to design
anchors of var... | [
{
"created": "Tue, 24 Apr 2018 13:08:32 GMT",
"version": "v1"
}
] | 2018-04-25 | [
[
"Zhong",
"Zhuoyao",
""
],
[
"Sun",
"Lei",
""
],
[
"Huo",
"Qiang",
""
]
] | The anchor mechanism of Faster R-CNN and SSD framework is considered not effective enough to scene text detection, which can be attributed to its IoU based matching criterion between anchors and ground-truth boxes. In order to better enclose scene text instances of various shapes, it requires to design anchors of vario... |
2006.04152 | Canwen Xu | Wangchunshu Zhou and Canwen Xu and Tao Ge and Julian McAuley and Ke Xu
and Furu Wei | BERT Loses Patience: Fast and Robust Inference with Early Exit | NeurIPS 2020 | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose Patience-based Early Exit, a straightforward yet
effective inference method that can be used as a plug-and-play technique to
simultaneously improve the efficiency and robustness of a pretrained language
model (PLM). To achieve this, our approach couples an internal-classifier with
each layer... | [
{
"created": "Sun, 7 Jun 2020 13:38:32 GMT",
"version": "v1"
},
{
"created": "Mon, 29 Jun 2020 04:46:19 GMT",
"version": "v2"
},
{
"created": "Thu, 22 Oct 2020 06:37:36 GMT",
"version": "v3"
}
] | 2020-10-23 | [
[
"Zhou",
"Wangchunshu",
""
],
[
"Xu",
"Canwen",
""
],
[
"Ge",
"Tao",
""
],
[
"McAuley",
"Julian",
""
],
[
"Xu",
"Ke",
""
],
[
"Wei",
"Furu",
""
]
] | In this paper, we propose Patience-based Early Exit, a straightforward yet effective inference method that can be used as a plug-and-play technique to simultaneously improve the efficiency and robustness of a pretrained language model (PLM). To achieve this, our approach couples an internal-classifier with each layer o... |
1512.07250 | Daniele Rotolo | Alexander M. Petersen, Daniele Rotolo, and Loet Leydesdorff | A Triple Helix Model of Medical Innovation: Supply, Demand, and
Technological Capabilities in terms of Medical Subject Headings | Accepted for publication in Research Policy (in press) | Research Policy 45(3), 666-681 (2016) | 10.1016/j.respol.2015.12.004 | null | cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We develop a model of innovation that enables us to trace the interplay among
three key dimensions of the innovation process: (i) demand of and (ii) supply
for innovation, and (iii) technological capabilities available to generate
innovation in the forms of products, processes, and services. Building on
triple helix ... | [
{
"created": "Tue, 22 Dec 2015 20:58:25 GMT",
"version": "v1"
},
{
"created": "Mon, 4 Jan 2016 13:14:39 GMT",
"version": "v2"
}
] | 2019-12-17 | [
[
"Petersen",
"Alexander M.",
""
],
[
"Rotolo",
"Daniele",
""
],
[
"Leydesdorff",
"Loet",
""
]
] | We develop a model of innovation that enables us to trace the interplay among three key dimensions of the innovation process: (i) demand of and (ii) supply for innovation, and (iii) technological capabilities available to generate innovation in the forms of products, processes, and services. Building on triple helix re... |
2312.11538 | Purvi Goel | Purvi Goel, Kuan-Chieh Wang, C. Karen Liu, Kayvon Fatahalian | Iterative Motion Editing with Natural Language | null | null | 10.1145/3641519.3657447 | null | cs.GR cs.CV | http://creativecommons.org/licenses/by/4.0/ | Text-to-motion diffusion models can generate realistic animations from text
prompts, but do not support fine-grained motion editing controls. In this
paper, we present a method for using natural language to iteratively specify
local edits to existing character animations, a task that is common in most
computer animat... | [
{
"created": "Fri, 15 Dec 2023 22:38:24 GMT",
"version": "v1"
},
{
"created": "Mon, 3 Jun 2024 14:42:35 GMT",
"version": "v2"
}
] | 2024-06-04 | [
[
"Goel",
"Purvi",
""
],
[
"Wang",
"Kuan-Chieh",
""
],
[
"Liu",
"C. Karen",
""
],
[
"Fatahalian",
"Kayvon",
""
]
] | Text-to-motion diffusion models can generate realistic animations from text prompts, but do not support fine-grained motion editing controls. In this paper, we present a method for using natural language to iteratively specify local edits to existing character animations, a task that is common in most computer animatio... |
1902.00771 | Adi Botea | Adi Botea, Christian Muise, Shubham Agarwal, Oznur Alkan, Ondrej
Bajgar, Elizabeth Daly, Akihiro Kishimoto, Luis Lastras, Radu Marinescu,
Josef Ondrej, Pablo Pedemonte, Miroslav Vodolan | Generating Dialogue Agents via Automated Planning | Accepted at the AAAI-2019 DEEP-DIAL workshop | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Dialogue systems have many applications such as customer support or question
answering. Typically they have been limited to shallow single turn
interactions. However more advanced applications such as career coaching or
planning a trip require a much more complex multi-turn dialogue. Current
limitations of conversati... | [
{
"created": "Sat, 2 Feb 2019 19:23:30 GMT",
"version": "v1"
}
] | 2019-02-05 | [
[
"Botea",
"Adi",
""
],
[
"Muise",
"Christian",
""
],
[
"Agarwal",
"Shubham",
""
],
[
"Alkan",
"Oznur",
""
],
[
"Bajgar",
"Ondrej",
""
],
[
"Daly",
"Elizabeth",
""
],
[
"Kishimoto",
"Akihiro",
""
],
[
... | Dialogue systems have many applications such as customer support or question answering. Typically they have been limited to shallow single turn interactions. However more advanced applications such as career coaching or planning a trip require a much more complex multi-turn dialogue. Current limitations of conversation... |
2407.10473 | N. Ege Sara\c{c} | Thomas A. Henzinger, Nicolas Mazzocchi, N. Ege Sara\c{c} | Strategic Dominance: A New Preorder for Nondeterministic Processes | To appear in CONCUR 2024 | null | null | null | cs.LO | http://creativecommons.org/licenses/by/4.0/ | We study the following refinement relation between nondeterministic
state-transition models: model B strategically dominates model A iff every
deterministic refinement of A is language contained in some deterministic
refinement of B. While language containment is trace inclusion, and the (fair)
simulation preorder co... | [
{
"created": "Mon, 15 Jul 2024 07:00:58 GMT",
"version": "v1"
}
] | 2024-07-16 | [
[
"Henzinger",
"Thomas A.",
""
],
[
"Mazzocchi",
"Nicolas",
""
],
[
"Saraç",
"N. Ege",
""
]
] | We study the following refinement relation between nondeterministic state-transition models: model B strategically dominates model A iff every deterministic refinement of A is language contained in some deterministic refinement of B. While language containment is trace inclusion, and the (fair) simulation preorder coin... |
2106.12893 | Thomas Viehmann | Thomas Viehmann | Partial Wasserstein and Maximum Mean Discrepancy distances for bridging
the gap between outlier detection and drift detection | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the rise of machine learning and deep learning based applications in
practice, monitoring, i.e. verifying that these operate within specification,
has become an important practical problem. An important aspect of this
monitoring is to check whether the inputs (or intermediates) have strayed from
the distribution... | [
{
"created": "Wed, 9 Jun 2021 18:49:55 GMT",
"version": "v1"
},
{
"created": "Mon, 28 Jun 2021 09:17:27 GMT",
"version": "v2"
}
] | 2021-06-29 | [
[
"Viehmann",
"Thomas",
""
]
] | With the rise of machine learning and deep learning based applications in practice, monitoring, i.e. verifying that these operate within specification, has become an important practical problem. An important aspect of this monitoring is to check whether the inputs (or intermediates) have strayed from the distribution t... |
2310.09632 | Juan Yepes | Juan D. Yepes, Daniel Raviv | Time-based Mapping of Space Using Visual Motion Invariants | 3 pages | null | null | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper focuses on visual motion-based invariants that result in a
representation of 3D points in which the stationary environment remains
invariant, ensuring shape constancy. This is achieved even as the images
undergo constant change due to camera motion. Nonlinear functions of measurable
optical flow, which are... | [
{
"created": "Sat, 14 Oct 2023 17:55:49 GMT",
"version": "v1"
}
] | 2023-10-17 | [
[
"Yepes",
"Juan D.",
""
],
[
"Raviv",
"Daniel",
""
]
] | This paper focuses on visual motion-based invariants that result in a representation of 3D points in which the stationary environment remains invariant, ensuring shape constancy. This is achieved even as the images undergo constant change due to camera motion. Nonlinear functions of measurable optical flow, which are r... |
1006.2691 | Eswar Karthikeyan | S. Ganesh, R. Amutha | Real Time and Energy Efficient Transport Protocol for Wireless Sensor
Networks | null | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reliable transport protocols such as TCP are tuned to perform well in
traditional networks where packet losses occur mostly because of congestion.
Many applications of wireless sensor networks are useful only when connected to
an external network. Previous research on transport layer protocols for sensor
networks has... | [
{
"created": "Mon, 14 Jun 2010 12:26:02 GMT",
"version": "v1"
}
] | 2010-06-15 | [
[
"Ganesh",
"S.",
""
],
[
"Amutha",
"R.",
""
]
] | Reliable transport protocols such as TCP are tuned to perform well in traditional networks where packet losses occur mostly because of congestion. Many applications of wireless sensor networks are useful only when connected to an external network. Previous research on transport layer protocols for sensor networks has f... |
2407.07713 | Ali Shibli | Ali Shibli, Tahar Zanouda | Data-Driven Radio Environment Map Estimation Using Graph Neural Networks | Accepted at the 17th International Workshop on Data Driven
Intelligence for Networks and Systems (DDINS) - IEEE International Conference
on Communications (ICC) 2024 | null | null | null | cs.NI cs.LG eess.SP | http://creativecommons.org/licenses/by/4.0/ | Radio Environment Maps (REMs) are crucial for numerous applications in
Telecom. The construction of accurate Radio Environment Maps (REMs) has become
an important and challenging topic in recent decades. In this paper, we present
a method to estimate REMs using Graph Neural Networks. This approach utilizes
both physi... | [
{
"created": "Sun, 9 Jun 2024 00:17:33 GMT",
"version": "v1"
}
] | 2024-07-11 | [
[
"Shibli",
"Ali",
""
],
[
"Zanouda",
"Tahar",
""
]
] | Radio Environment Maps (REMs) are crucial for numerous applications in Telecom. The construction of accurate Radio Environment Maps (REMs) has become an important and challenging topic in recent decades. In this paper, we present a method to estimate REMs using Graph Neural Networks. This approach utilizes both physica... |
1802.03796 | Daphna Weinshall | Daphna Weinshall, Gad Cohen and Dan Amir | Curriculum Learning by Transfer Learning: Theory and Experiments with
Deep Networks | ICML 2018 | Proceedings: 35th International Conference on Machine Learning
(ICML), oral, Stockholm Sweden, July 2018 | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We provide theoretical investigation of curriculum learning in the context of
stochastic gradient descent when optimizing the convex linear regression loss.
We prove that the rate of convergence of an ideal curriculum learning method is
monotonically increasing with the difficulty of the examples. Moreover, among
all... | [
{
"created": "Sun, 11 Feb 2018 19:24:47 GMT",
"version": "v1"
},
{
"created": "Fri, 20 Apr 2018 13:53:21 GMT",
"version": "v2"
},
{
"created": "Tue, 22 May 2018 15:20:06 GMT",
"version": "v3"
},
{
"created": "Fri, 8 Jun 2018 18:04:50 GMT",
"version": "v4"
}
] | 2023-12-29 | [
[
"Weinshall",
"Daphna",
""
],
[
"Cohen",
"Gad",
""
],
[
"Amir",
"Dan",
""
]
] | We provide theoretical investigation of curriculum learning in the context of stochastic gradient descent when optimizing the convex linear regression loss. We prove that the rate of convergence of an ideal curriculum learning method is monotonically increasing with the difficulty of the examples. Moreover, among all e... |
2110.06006 | Mahdi Abolfazli Esfahani | Mahdi Abolfazli Esfahani, Han Wang | Robust Glare Detection: Review, Analysis, and Dataset Release | null | null | null | null | cs.RO cs.AI eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Sun Glare widely exists in the images captured by unmanned ground and aerial
vehicles performing in outdoor environments. The existence of such artifacts in
images will result in wrong feature extraction and failure of autonomous
systems. Humans will try to adapt their view once they observe a glare
(especially when ... | [
{
"created": "Tue, 12 Oct 2021 13:46:33 GMT",
"version": "v1"
},
{
"created": "Wed, 13 Oct 2021 12:47:50 GMT",
"version": "v2"
}
] | 2021-10-14 | [
[
"Esfahani",
"Mahdi Abolfazli",
""
],
[
"Wang",
"Han",
""
]
] | Sun Glare widely exists in the images captured by unmanned ground and aerial vehicles performing in outdoor environments. The existence of such artifacts in images will result in wrong feature extraction and failure of autonomous systems. Humans will try to adapt their view once they observe a glare (especially when dr... |
2405.09061 | Tsuyoshi Id\'e | Tsuyoshi Id\'e, Jokin Labaien, and Pin-Yu Chen | Improving Transformers using Faithful Positional Encoding | arXiv admin note: text overlap with arXiv:2305.17149 | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | We propose a new positional encoding method for a neural network architecture
called the Transformer. Unlike the standard sinusoidal positional encoding, our
approach is based on solid mathematical grounds and has a guarantee of not
losing information about the positional order of the input sequence. We show
that the... | [
{
"created": "Wed, 15 May 2024 03:17:30 GMT",
"version": "v1"
},
{
"created": "Thu, 16 May 2024 06:26:43 GMT",
"version": "v2"
}
] | 2024-05-17 | [
[
"Idé",
"Tsuyoshi",
""
],
[
"Labaien",
"Jokin",
""
],
[
"Chen",
"Pin-Yu",
""
]
] | We propose a new positional encoding method for a neural network architecture called the Transformer. Unlike the standard sinusoidal positional encoding, our approach is based on solid mathematical grounds and has a guarantee of not losing information about the positional order of the input sequence. We show that the n... |
2312.10674 | Fangjun Liu | Ran Chen, Xingjian Yi, Jing Zhao, Yueheng He, Bainian Chen, Xueqi Yao,
Fangjun Liu, Haoran Li, Zeke Lian | A Framework of Full-Process Generation Design for Park Green Spaces
Based on Remote Sensing Segmentation-GAN-Diffusion | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The development of generative design driven by artificial intelligence
algorithms is speedy. There are two research gaps in the current research: 1)
Most studies only focus on the relationship between design elements and pay
little attention to the external information of the site; 2) GAN and other
traditional genera... | [
{
"created": "Sun, 17 Dec 2023 10:16:47 GMT",
"version": "v1"
}
] | 2023-12-19 | [
[
"Chen",
"Ran",
""
],
[
"Yi",
"Xingjian",
""
],
[
"Zhao",
"Jing",
""
],
[
"He",
"Yueheng",
""
],
[
"Chen",
"Bainian",
""
],
[
"Yao",
"Xueqi",
""
],
[
"Liu",
"Fangjun",
""
],
[
"Li",
"Haoran",
... | The development of generative design driven by artificial intelligence algorithms is speedy. There are two research gaps in the current research: 1) Most studies only focus on the relationship between design elements and pay little attention to the external information of the site; 2) GAN and other traditional generati... |
2108.08790 | Vignesh Nanda Kumar | Vignesh Nanda Kumar and Narayanan U Edakunni | Simple is better: Making Decision Trees faster using random sampling | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, gradient boosted decision trees have become popular in
building robust machine learning models on big data. The primary technique that
has enabled these algorithms success has been distributing the computation
while building the decision trees. A distributed decision tree building, in
turn, has been ... | [
{
"created": "Thu, 19 Aug 2021 17:00:21 GMT",
"version": "v1"
}
] | 2021-08-20 | [
[
"Kumar",
"Vignesh Nanda",
""
],
[
"Edakunni",
"Narayanan U",
""
]
] | In recent years, gradient boosted decision trees have become popular in building robust machine learning models on big data. The primary technique that has enabled these algorithms success has been distributing the computation while building the decision trees. A distributed decision tree building, in turn, has been en... |
1412.0223 | Peng Cheng | Peng Cheng, Xiang Lian, Zhao Chen, Rui Fu, Lei Chen, Jinsong Han,
Jizhong Zhao | Reliable Diversity-Based Spatial Crowdsourcing by Moving Workers | 16 pages | null | 10.14778/2794367.2794372 | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the rapid development of mobile devices and the crowdsourcig platforms,
the spatial crowdsourcing has attracted much attention from the database
community, specifically, spatial crowdsourcing refers to sending a
location-based request to workers according to their positions. In this paper,
we consider an importa... | [
{
"created": "Sun, 30 Nov 2014 15:06:53 GMT",
"version": "v1"
},
{
"created": "Sun, 1 Mar 2015 08:26:38 GMT",
"version": "v2"
},
{
"created": "Sat, 9 May 2015 02:18:23 GMT",
"version": "v3"
},
{
"created": "Mon, 22 Jun 2015 01:23:23 GMT",
"version": "v4"
},
{
"cre... | 2016-10-27 | [
[
"Cheng",
"Peng",
""
],
[
"Lian",
"Xiang",
""
],
[
"Chen",
"Zhao",
""
],
[
"Fu",
"Rui",
""
],
[
"Chen",
"Lei",
""
],
[
"Han",
"Jinsong",
""
],
[
"Zhao",
"Jizhong",
""
]
] | With the rapid development of mobile devices and the crowdsourcig platforms, the spatial crowdsourcing has attracted much attention from the database community, specifically, spatial crowdsourcing refers to sending a location-based request to workers according to their positions. In this paper, we consider an important... |
1904.06683 | Hiya Roy | Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Danielle DeLatte,
Makiko Ohtake, Tatsuaki Hashimoto | Lunar surface image restoration using U-net based deep neural networks | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Image restoration is a technique that reconstructs a feasible estimate of the
original image from the noisy observation. In this paper, we present a U-Net
based deep neural network model to restore the missing pixels on the lunar
surface image in a context-aware fashion, which is often known as image
inpainting probl... | [
{
"created": "Sun, 14 Apr 2019 12:10:43 GMT",
"version": "v1"
}
] | 2019-04-16 | [
[
"Roy",
"Hiya",
""
],
[
"Chaudhury",
"Subhajit",
""
],
[
"Yamasaki",
"Toshihiko",
""
],
[
"DeLatte",
"Danielle",
""
],
[
"Ohtake",
"Makiko",
""
],
[
"Hashimoto",
"Tatsuaki",
""
]
] | Image restoration is a technique that reconstructs a feasible estimate of the original image from the noisy observation. In this paper, we present a U-Net based deep neural network model to restore the missing pixels on the lunar surface image in a context-aware fashion, which is often known as image inpainting problem... |
2102.04043 | Chao-Yu Chen | Cheng-Yu Pai and Chao-Yu Chen | Two-Dimensional Golay Complementary Array Sets from Generalized Boolean
Functions | Submitted to IEEE Transactions on Information Theory | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The one-dimensional (1-D) Golay complementary set (GCS) has many well-known
properties and has been widely employed in engineering. The concept of 1-D GCS
can be extended to the two-dimensional (2-D) Golay complementary array set
(GCAS) where the 2-D aperiodic autocorrelation of constituent arrays sum to
zero except ... | [
{
"created": "Mon, 8 Feb 2021 07:59:47 GMT",
"version": "v1"
}
] | 2021-02-09 | [
[
"Pai",
"Cheng-Yu",
""
],
[
"Chen",
"Chao-Yu",
""
]
] | The one-dimensional (1-D) Golay complementary set (GCS) has many well-known properties and has been widely employed in engineering. The concept of 1-D GCS can be extended to the two-dimensional (2-D) Golay complementary array set (GCAS) where the 2-D aperiodic autocorrelation of constituent arrays sum to zero except fo... |
1005.3224 | Amparo F\'uster-Sabater | Amparo F\'uster-Sabater | Cellular Automata in Stream Ciphers | 26 pages, 1 figure | Contemporary Mathematics, Volume 477, pp. 1-20, 2009 | null | null | cs.CR cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A wide family of nonlinear sequence generators, the so-called
clock-controlled shrinking generators, has been analyzed and identified with a
subset of linear cellular automata. The algorithm that converts the given
generator into a linear model based on automata is very simple and can be
applied in a range of practic... | [
{
"created": "Tue, 18 May 2010 15:11:19 GMT",
"version": "v1"
}
] | 2010-05-19 | [
[
"Fúster-Sabater",
"Amparo",
""
]
] | A wide family of nonlinear sequence generators, the so-called clock-controlled shrinking generators, has been analyzed and identified with a subset of linear cellular automata. The algorithm that converts the given generator into a linear model based on automata is very simple and can be applied in a range of practical... |
2211.16191 | Fang Peng | Fang Peng, Xiaoshan Yang, Linhui Xiao, Yaowei Wang, Changsheng Xu | SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for
Few-shot Image Classification | null | null | null | null | cs.CV cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Although significant progress has been made in few-shot learning, most of
existing few-shot image classification methods require supervised pre-training
on a large amount of samples of base classes, which limits their generalization
ability in real world application. Recently, large-scale Vision-Language
Pre-trained ... | [
{
"created": "Mon, 28 Nov 2022 14:58:15 GMT",
"version": "v1"
},
{
"created": "Fri, 20 Jan 2023 13:56:39 GMT",
"version": "v2"
}
] | 2023-01-23 | [
[
"Peng",
"Fang",
""
],
[
"Yang",
"Xiaoshan",
""
],
[
"Xiao",
"Linhui",
""
],
[
"Wang",
"Yaowei",
""
],
[
"Xu",
"Changsheng",
""
]
] | Although significant progress has been made in few-shot learning, most of existing few-shot image classification methods require supervised pre-training on a large amount of samples of base classes, which limits their generalization ability in real world application. Recently, large-scale Vision-Language Pre-trained mo... |
1411.2153 | Simone Cirillo | Simone Cirillo, Stefan Lloyd, Peter Nordin | Evolving intraday foreign exchange trading strategies utilizing multiple
instruments price series | 15 pages, 10 figures, 9 tables | null | null | null | cs.NE q-fin.TR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a Genetic Programming architecture for the generation of foreign
exchange trading strategies. The system's principal features are the evolution
of free-form strategies which do not rely on any prior models and the
utilization of price series from multiple instruments as input data. This
latter feature cons... | [
{
"created": "Sat, 8 Nov 2014 19:22:55 GMT",
"version": "v1"
}
] | 2014-11-11 | [
[
"Cirillo",
"Simone",
""
],
[
"Lloyd",
"Stefan",
""
],
[
"Nordin",
"Peter",
""
]
] | We propose a Genetic Programming architecture for the generation of foreign exchange trading strategies. The system's principal features are the evolution of free-form strategies which do not rely on any prior models and the utilization of price series from multiple instruments as input data. This latter feature consti... |
2206.08921 | Lawrence Yunliang Chen | Lawrence Yunliang Chen, Huang Huang, Ellen Novoseller, Daniel Seita,
Jeffrey Ichnowski, Michael Laskey, Richard Cheng, Thomas Kollar, Ken Goldberg | Efficiently Learning Single-Arm Fling Motions to Smooth Garments | Accepted to 2022 International Symposium on Robotics Research (ISRR) | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent work has shown that 2-arm "fling" motions can be effective for garment
smoothing. We consider single-arm fling motions. Unlike 2-arm fling motions,
which require little robot trajectory parameter tuning, single-arm fling
motions are very sensitive to trajectory parameters. We consider a single 6-DOF
robot arm ... | [
{
"created": "Fri, 17 Jun 2022 17:57:32 GMT",
"version": "v1"
},
{
"created": "Sat, 24 Sep 2022 09:13:41 GMT",
"version": "v2"
}
] | 2022-09-27 | [
[
"Chen",
"Lawrence Yunliang",
""
],
[
"Huang",
"Huang",
""
],
[
"Novoseller",
"Ellen",
""
],
[
"Seita",
"Daniel",
""
],
[
"Ichnowski",
"Jeffrey",
""
],
[
"Laskey",
"Michael",
""
],
[
"Cheng",
"Richard",
""
... | Recent work has shown that 2-arm "fling" motions can be effective for garment smoothing. We consider single-arm fling motions. Unlike 2-arm fling motions, which require little robot trajectory parameter tuning, single-arm fling motions are very sensitive to trajectory parameters. We consider a single 6-DOF robot arm th... |
2205.13858 | Timothee Mickus | Timothee Mickus and Kees van Deemter and Mathieu Constant and Denis
Paperno | Semeval-2022 Task 1: CODWOE -- Comparing Dictionaries and Word
Embeddings | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by-sa/4.0/ | Word embeddings have advanced the state of the art in NLP across numerous
tasks. Understanding the contents of dense neural representations is of utmost
interest to the computational semantics community. We propose to focus on
relating these opaque word vectors with human-readable definitions, as found in
dictionarie... | [
{
"created": "Fri, 27 May 2022 09:40:33 GMT",
"version": "v1"
}
] | 2022-05-30 | [
[
"Mickus",
"Timothee",
""
],
[
"van Deemter",
"Kees",
""
],
[
"Constant",
"Mathieu",
""
],
[
"Paperno",
"Denis",
""
]
] | Word embeddings have advanced the state of the art in NLP across numerous tasks. Understanding the contents of dense neural representations is of utmost interest to the computational semantics community. We propose to focus on relating these opaque word vectors with human-readable definitions, as found in dictionaries.... |
1912.03926 | Gabriel Moreau | Gabriel Moreau (LEGI), Bernard Maire-Amiot, David Gras (MOY1100),
Herv\'e Colasuonno (G2ELab), Julien Bamberger (G2ELab), Aur\'elien Minet
(EPHE), Alain P\'ean (C2N), Marie-Goretti Dejean (CIRM) | Why I killed my copper -- Highlights about the FTTO in the ESR | Vid{\'e}o
https://replay.jres.org/videos/watch/6de5f575-9da1-4cb7-82af-f3f90aca9b6e
Congr\`es , in French, JRES : Les Journ\'ees R\'eseaux de l'Enseignement et
de la Recherche, RENATER, Dec 2019, Dijon, France | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | FTTO means Fiber To The Office, in reference to FTTH (Fibre To The Home),
deployed in France for individuals. The principle of FTTO is to cable a
building totally in fibre optic, to remove as much copper cabling as possible
and install microswitches in each office (duct or adjacent), as near the
machines as possible.... | [
{
"created": "Mon, 9 Dec 2019 09:48:28 GMT",
"version": "v1"
}
] | 2019-12-10 | [
[
"Moreau",
"Gabriel",
"",
"LEGI"
],
[
"Maire-Amiot",
"Bernard",
"",
"MOY1100"
],
[
"Gras",
"David",
"",
"MOY1100"
],
[
"Colasuonno",
"Hervé",
"",
"G2ELab"
],
[
"Bamberger",
"Julien",
"",
"G2ELab"
],
[
"Minet",
... | FTTO means Fiber To The Office, in reference to FTTH (Fibre To The Home), deployed in France for individuals. The principle of FTTO is to cable a building totally in fibre optic, to remove as much copper cabling as possible and install microswitches in each office (duct or adjacent), as near the machines as possible. U... |
2405.17618 | Ju-Seung Byun | Ju-Seung Byun, Andrew Perrault | Symmetric Reinforcement Learning Loss for Robust Learning on Diverse
Tasks and Model Scales | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reinforcement learning (RL) training is inherently unstable due to factors
such as moving targets and high gradient variance. Reinforcement Learning from
Human Feedback (RLHF) and Reinforcement Learning from AI Feedback (RLAIF) can
introduce additional difficulty. Differing preferences can complicate the
alignment pr... | [
{
"created": "Mon, 27 May 2024 19:28:33 GMT",
"version": "v1"
},
{
"created": "Wed, 29 May 2024 04:19:00 GMT",
"version": "v2"
}
] | 2024-05-30 | [
[
"Byun",
"Ju-Seung",
""
],
[
"Perrault",
"Andrew",
""
]
] | Reinforcement learning (RL) training is inherently unstable due to factors such as moving targets and high gradient variance. Reinforcement Learning from Human Feedback (RLHF) and Reinforcement Learning from AI Feedback (RLAIF) can introduce additional difficulty. Differing preferences can complicate the alignment proc... |
0709.0428 | Noelle Carbonell | Suzanne Kieffer (INRIA Rocquencourt / INRIA Lorraine - LORIA),
No\"elle Carbonell (INRIA Rocquencourt / INRIA Lorraine - LORIA) | Oral messages improve visual search | 4 pages | Dans Proceedings of ACM Working Conference on Advanced Visual
Interfaces - ACM Working Conference on Advanced Visual Interfaces (AVI 2006),
Venezia : Italie (2006) | null | null | cs.HC | null | Input multimodality combining speech and hand gestures has motivated numerous
usability studies. Contrastingly, issues relating to the design and ergonomic
evaluation of multimodal output messages combining speech with visual
modalities have not yet been addressed extensively. The experimental study
presented here ad... | [
{
"created": "Tue, 4 Sep 2007 13:27:33 GMT",
"version": "v1"
}
] | 2007-09-05 | [
[
"Kieffer",
"Suzanne",
"",
"INRIA Rocquencourt / INRIA Lorraine - LORIA"
],
[
"Carbonell",
"Noëlle",
"",
"INRIA Rocquencourt / INRIA Lorraine - LORIA"
]
] | Input multimodality combining speech and hand gestures has motivated numerous usability studies. Contrastingly, issues relating to the design and ergonomic evaluation of multimodal output messages combining speech with visual modalities have not yet been addressed extensively. The experimental study presented here addr... |
1610.01495 | Francesco Romano | Francesco Romano and Daniele Pucci and Silvio Traversaro and Francesco
Nori | The Static Center of Pressure Sensitivity: a further Criterion to assess
Contact Stability and Balancing Controllers | null | null | null | null | cs.RO math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Legged locomotion has received increasing attention from the robotics
community. In this respect, contact stability plays a critical role in ensuring
that robots maintain balance, and it is a key element for balancing and walking
controllers. The Center of Pressure is a contact stability criterion that
defines a poin... | [
{
"created": "Wed, 5 Oct 2016 16:02:24 GMT",
"version": "v1"
},
{
"created": "Mon, 29 May 2017 07:05:55 GMT",
"version": "v2"
}
] | 2017-05-30 | [
[
"Romano",
"Francesco",
""
],
[
"Pucci",
"Daniele",
""
],
[
"Traversaro",
"Silvio",
""
],
[
"Nori",
"Francesco",
""
]
] | Legged locomotion has received increasing attention from the robotics community. In this respect, contact stability plays a critical role in ensuring that robots maintain balance, and it is a key element for balancing and walking controllers. The Center of Pressure is a contact stability criterion that defines a point ... |
1603.08631 | Ghassem Tofighi | Saman Sarraf and Ghassem Tofighi | Classification of Alzheimer's Disease using fMRI Data and Deep Learning
Convolutional Neural Networks | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Over the past decade, machine learning techniques especially predictive
modeling and pattern recognition in biomedical sciences from drug delivery
system to medical imaging has become one of the important methods which are
assisting researchers to have deeper understanding of entire issue and to solve
complex medical... | [
{
"created": "Tue, 29 Mar 2016 04:30:07 GMT",
"version": "v1"
}
] | 2016-03-30 | [
[
"Sarraf",
"Saman",
""
],
[
"Tofighi",
"Ghassem",
""
]
] | Over the past decade, machine learning techniques especially predictive modeling and pattern recognition in biomedical sciences from drug delivery system to medical imaging has become one of the important methods which are assisting researchers to have deeper understanding of entire issue and to solve complex medical p... |
1808.04495 | Jialei Chen | Jialei Chen, Yujia Xie, Kan Wang, Zih Huei Wang, Geet Lahoti, Chuck
Zhang, Mani A Vannan, Ben Wang, Zhen Qian | Generative Invertible Networks (GIN): Pathophysiology-Interpretable
Feature Mapping and Virtual Patient Generation | null | null | 10.1007/978-3-030-00928-1_61 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Machine learning methods play increasingly important roles in pre-procedural
planning for complex surgeries and interventions. Very often, however,
researchers find the historical records of emerging surgical techniques, such
as the transcatheter aortic valve replacement (TAVR), are highly scarce in
quantity. In this... | [
{
"created": "Tue, 14 Aug 2018 00:18:33 GMT",
"version": "v1"
}
] | 2019-02-06 | [
[
"Chen",
"Jialei",
""
],
[
"Xie",
"Yujia",
""
],
[
"Wang",
"Kan",
""
],
[
"Wang",
"Zih Huei",
""
],
[
"Lahoti",
"Geet",
""
],
[
"Zhang",
"Chuck",
""
],
[
"Vannan",
"Mani A",
""
],
[
"Wang",
"Ben"... | Machine learning methods play increasingly important roles in pre-procedural planning for complex surgeries and interventions. Very often, however, researchers find the historical records of emerging surgical techniques, such as the transcatheter aortic valve replacement (TAVR), are highly scarce in quantity. In this p... |
1810.03711 | Luigi Freda | Luigi Freda and Mario Gianni and Fiora Pirri | A Hybrid Approach for Trajectory Control Design | 9 pages, 11 figures | null | null | null | cs.RO cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | This work presents a methodology to design trajectory tracking feedback
control laws, which embed non-parametric statistical models, such as Gaussian
Processes (GPs). The aim is to minimize unmodeled dynamics such as undesired
slippages. The proposed approach has the benefit of avoiding complex
terramechanics analysi... | [
{
"created": "Mon, 8 Oct 2018 21:40:07 GMT",
"version": "v1"
},
{
"created": "Sat, 5 Jan 2019 10:15:13 GMT",
"version": "v2"
},
{
"created": "Sat, 19 Nov 2022 18:44:19 GMT",
"version": "v3"
}
] | 2022-11-22 | [
[
"Freda",
"Luigi",
""
],
[
"Gianni",
"Mario",
""
],
[
"Pirri",
"Fiora",
""
]
] | This work presents a methodology to design trajectory tracking feedback control laws, which embed non-parametric statistical models, such as Gaussian Processes (GPs). The aim is to minimize unmodeled dynamics such as undesired slippages. The proposed approach has the benefit of avoiding complex terramechanics analysis ... |
2006.13114 | Preethi Lahoti | Preethi Lahoti, Alex Beutel, Jilin Chen, Kang Lee, Flavien Prost,
Nithum Thain, Xuezhi Wang, Ed H. Chi | Fairness without Demographics through Adversarially Reweighted Learning | To appear at 34th Conference on Neural Information Processing Systems
(NeurIPS 2020), Vancouver, Canada | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Much of the previous machine learning (ML) fairness literature assumes that
protected features such as race and sex are present in the dataset, and relies
upon them to mitigate fairness concerns. However, in practice factors like
privacy and regulation often preclude the collection of protected features, or
their use... | [
{
"created": "Tue, 23 Jun 2020 16:06:52 GMT",
"version": "v1"
},
{
"created": "Wed, 24 Jun 2020 12:53:26 GMT",
"version": "v2"
},
{
"created": "Tue, 3 Nov 2020 18:02:12 GMT",
"version": "v3"
}
] | 2020-11-04 | [
[
"Lahoti",
"Preethi",
""
],
[
"Beutel",
"Alex",
""
],
[
"Chen",
"Jilin",
""
],
[
"Lee",
"Kang",
""
],
[
"Prost",
"Flavien",
""
],
[
"Thain",
"Nithum",
""
],
[
"Wang",
"Xuezhi",
""
],
[
"Chi",
"Ed... | Much of the previous machine learning (ML) fairness literature assumes that protected features such as race and sex are present in the dataset, and relies upon them to mitigate fairness concerns. However, in practice factors like privacy and regulation often preclude the collection of protected features, or their use f... |
1506.03551 | Abolfazl Diyanat | Ahmad Khonsari, Seyed Pooya Shariatpanahi, Abolfazl Diyanat, Hossein
Shafiei | On the Feasibility of Wireless Interconnects for High-throughput Data
Centers | null | null | null | null | cs.NI cs.PF | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Data Centers (DCs) are required to be scalable to large data sets so as to
accommodate ever increasing demands of resource-limited embedded and mobile
devices. Thanks to the availability of recent high data rate millimeter-wave
frequency spectrum such as 60GHz and due to the favorable attributes of this
technology, w... | [
{
"created": "Thu, 11 Jun 2015 06:02:06 GMT",
"version": "v1"
}
] | 2015-06-12 | [
[
"Khonsari",
"Ahmad",
""
],
[
"Shariatpanahi",
"Seyed Pooya",
""
],
[
"Diyanat",
"Abolfazl",
""
],
[
"Shafiei",
"Hossein",
""
]
] | Data Centers (DCs) are required to be scalable to large data sets so as to accommodate ever increasing demands of resource-limited embedded and mobile devices. Thanks to the availability of recent high data rate millimeter-wave frequency spectrum such as 60GHz and due to the favorable attributes of this technology, wir... |
2002.11023 | Carlos Bobed | Mar\'ia G. Buey and Carlos Bobed and Jorge Gracia and Eduardo Mena | Semantic Relatedness for Keyword Disambiguation: Exploiting Different
Embeddings | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Understanding the meaning of words is crucial for many tasks that involve
human-machine interaction. This has been tackled by research in Word Sense
Disambiguation (WSD) in the Natural Language Processing (NLP) field. Recently,
WSD and many other NLP tasks have taken advantage of embeddings-based
representation of wo... | [
{
"created": "Tue, 25 Feb 2020 16:44:50 GMT",
"version": "v1"
}
] | 2020-02-26 | [
[
"Buey",
"María G.",
""
],
[
"Bobed",
"Carlos",
""
],
[
"Gracia",
"Jorge",
""
],
[
"Mena",
"Eduardo",
""
]
] | Understanding the meaning of words is crucial for many tasks that involve human-machine interaction. This has been tackled by research in Word Sense Disambiguation (WSD) in the Natural Language Processing (NLP) field. Recently, WSD and many other NLP tasks have taken advantage of embeddings-based representation of word... |
2310.13544 | Vil\'em Zouhar | Shehzaad Dhuliawala, Vil\'em Zouhar, Mennatallah El-Assady, Mrinmaya
Sachan | A Diachronic Perspective on User Trust in AI under Uncertainty | EMNLP 2023, 14 pages (8+6) | null | null | null | cs.CL cs.HC | http://creativecommons.org/licenses/by/4.0/ | In a human-AI collaboration, users build a mental model of the AI system
based on its reliability and how it presents its decision, e.g. its
presentation of system confidence and an explanation of the output. Modern NLP
systems are often uncalibrated, resulting in confidently incorrect predictions
that undermine user... | [
{
"created": "Fri, 20 Oct 2023 14:41:46 GMT",
"version": "v1"
}
] | 2023-10-23 | [
[
"Dhuliawala",
"Shehzaad",
""
],
[
"Zouhar",
"Vilém",
""
],
[
"El-Assady",
"Mennatallah",
""
],
[
"Sachan",
"Mrinmaya",
""
]
] | In a human-AI collaboration, users build a mental model of the AI system based on its reliability and how it presents its decision, e.g. its presentation of system confidence and an explanation of the output. Modern NLP systems are often uncalibrated, resulting in confidently incorrect predictions that undermine user t... |
2202.00315 | Johannes Wolf K\"unzel | Clemens Seibold, Johannes K\"unzel, Anna Hilsmann, Peter Eisert | From Explanations to Segmentation: Using Explainable AI for Image
Segmentation | to be published in: 17th International Conference on Computer Vision
Theory and Applications (VISAPP), February 2022 | null | 10.5220/0010893600003124 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The new era of image segmentation leveraging the power of Deep Neural Nets
(DNNs) comes with a price tag: to train a neural network for pixel-wise
segmentation, a large amount of training samples has to be manually labeled on
pixel-precision. In this work, we address this by following an indirect
solution. We build u... | [
{
"created": "Tue, 1 Feb 2022 10:26:10 GMT",
"version": "v1"
}
] | 2023-03-01 | [
[
"Seibold",
"Clemens",
""
],
[
"Künzel",
"Johannes",
""
],
[
"Hilsmann",
"Anna",
""
],
[
"Eisert",
"Peter",
""
]
] | The new era of image segmentation leveraging the power of Deep Neural Nets (DNNs) comes with a price tag: to train a neural network for pixel-wise segmentation, a large amount of training samples has to be manually labeled on pixel-precision. In this work, we address this by following an indirect solution. We build upo... |
2204.01027 | Yuya Hasegawa | Yuya Hasegawa, Ikehata Satoshi, Kiyoharu Aizawa | Distortion-Aware Self-Supervised 360{\deg} Depth Estimation from A
Single Equirectangular Projection Image | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | 360{\deg} images are widely available over the last few years. This paper
proposes a new technique for single 360{\deg} image depth prediction under open
environments. Depth prediction from a 360{\deg} single image is not easy for
two reasons. One is the limitation of supervision datasets - the currently
available da... | [
{
"created": "Sun, 3 Apr 2022 08:28:44 GMT",
"version": "v1"
}
] | 2022-04-05 | [
[
"Hasegawa",
"Yuya",
""
],
[
"Satoshi",
"Ikehata",
""
],
[
"Aizawa",
"Kiyoharu",
""
]
] | 360{\deg} images are widely available over the last few years. This paper proposes a new technique for single 360{\deg} image depth prediction under open environments. Depth prediction from a 360{\deg} single image is not easy for two reasons. One is the limitation of supervision datasets - the currently available data... |
2406.15303 | Yunlong Zhang | Yunlong Zhang and Zhongyi Shui and Yunxuan Sun and Honglin Li and
Jingxiong Li and Chenglu Zhu and Sunyi Zheng and Lin Yang | ADR: Attention Diversification Regularization for Mitigating Overfitting
in Multiple Instance Learning based Whole Slide Image Classification | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multiple Instance Learning (MIL) has demonstrated effectiveness in analyzing
whole slide images (WSIs), yet it often encounters overfitting challenges in
real-world applications. This paper reveals the correlation between MIL's
performance and the entropy of attention values. Based on this observation, we
propose Att... | [
{
"created": "Tue, 18 Jun 2024 02:01:17 GMT",
"version": "v1"
}
] | 2024-06-24 | [
[
"Zhang",
"Yunlong",
""
],
[
"Shui",
"Zhongyi",
""
],
[
"Sun",
"Yunxuan",
""
],
[
"Li",
"Honglin",
""
],
[
"Li",
"Jingxiong",
""
],
[
"Zhu",
"Chenglu",
""
],
[
"Zheng",
"Sunyi",
""
],
[
"Yang",
"... | Multiple Instance Learning (MIL) has demonstrated effectiveness in analyzing whole slide images (WSIs), yet it often encounters overfitting challenges in real-world applications. This paper reveals the correlation between MIL's performance and the entropy of attention values. Based on this observation, we propose Atten... |
2301.06724 | Emily Dolson | Emily Dolson | Calculating lexicase selection probabilities is NP-Hard | null | null | 10.1145/3583131.3590356 | null | cs.NE cs.CC | http://creativecommons.org/licenses/by/4.0/ | Calculating the probability of an individual solution being selected under
lexicase selection is an important problem in attempts to develop a deeper
theoretical understanding of lexicase selection, a state-of-the art parent
selection algorithm in evolutionary computation. Discovering a fast solution to
this problem ... | [
{
"created": "Tue, 17 Jan 2023 06:51:44 GMT",
"version": "v1"
},
{
"created": "Sat, 22 Apr 2023 22:16:41 GMT",
"version": "v2"
}
] | 2023-04-25 | [
[
"Dolson",
"Emily",
""
]
] | Calculating the probability of an individual solution being selected under lexicase selection is an important problem in attempts to develop a deeper theoretical understanding of lexicase selection, a state-of-the art parent selection algorithm in evolutionary computation. Discovering a fast solution to this problem wo... |
2211.02250 | Bandhav Veluri | Bandhav Veluri, Justin Chan, Malek Itani, Tuochao Chen, Takuya
Yoshioka, Shyamnath Gollakota | Real-Time Target Sound Extraction | ICASSP 2023 camera-ready | null | null | null | cs.SD cs.LG eess.AS | http://creativecommons.org/licenses/by/4.0/ | We present the first neural network model to achieve real-time and streaming
target sound extraction. To accomplish this, we propose Waveformer, an
encoder-decoder architecture with a stack of dilated causal convolution layers
as the encoder, and a transformer decoder layer as the decoder. This hybrid
architecture us... | [
{
"created": "Fri, 4 Nov 2022 03:51:23 GMT",
"version": "v1"
},
{
"created": "Mon, 14 Nov 2022 23:56:23 GMT",
"version": "v2"
},
{
"created": "Wed, 19 Apr 2023 09:43:32 GMT",
"version": "v3"
}
] | 2023-04-20 | [
[
"Veluri",
"Bandhav",
""
],
[
"Chan",
"Justin",
""
],
[
"Itani",
"Malek",
""
],
[
"Chen",
"Tuochao",
""
],
[
"Yoshioka",
"Takuya",
""
],
[
"Gollakota",
"Shyamnath",
""
]
] | We present the first neural network model to achieve real-time and streaming target sound extraction. To accomplish this, we propose Waveformer, an encoder-decoder architecture with a stack of dilated causal convolution layers as the encoder, and a transformer decoder layer as the decoder. This hybrid architecture uses... |
1412.6853 | Renato Fabbri | Renato Fabbri, Vilson Vieira da Silva Junior, Ant\^onio Carlos Silvano
Pessotti, D\'ebora Cristina Corr\^ea, Osvaldo N. Oliveira Jr | Musical elements in the discrete-time representation of sound | A software toolbox, a Python Package, musical pieces and further
documents are in: https://github.com/ttm/mass | null | null | null | cs.SD physics.pop-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The representation of basic elements of music in terms of discrete audio
signals is often used in software for musical creation and design.
Nevertheless, there is no unified approach that relates these elements to the
discrete samples of digitized sound. In this article, each musical element is
related by equations a... | [
{
"created": "Mon, 22 Dec 2014 01:04:53 GMT",
"version": "v1"
},
{
"created": "Thu, 26 Oct 2017 23:07:52 GMT",
"version": "v2"
}
] | 2017-10-30 | [
[
"Fabbri",
"Renato",
""
],
[
"Junior",
"Vilson Vieira da Silva",
""
],
[
"Pessotti",
"Antônio Carlos Silvano",
""
],
[
"Corrêa",
"Débora Cristina",
""
],
[
"Oliveira",
"Osvaldo N.",
"Jr"
]
] | The representation of basic elements of music in terms of discrete audio signals is often used in software for musical creation and design. Nevertheless, there is no unified approach that relates these elements to the discrete samples of digitized sound. In this article, each musical element is related by equations and... |
1808.05946 | Hao Chen | Hao Chen, Maria Vasardani, Stephan Winter | Disambiguating fine-grained place names from descriptions by clustering | null | null | null | null | cs.IR cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Everyday place descriptions often contain place names of fine-grained
features, such as buildings or businesses, that are more difficult to
disambiguate than names referring to larger places, for example cities or
natural geographic features. Fine-grained places are often significantly more
frequent and more similar ... | [
{
"created": "Fri, 17 Aug 2018 05:14:41 GMT",
"version": "v1"
}
] | 2018-08-21 | [
[
"Chen",
"Hao",
""
],
[
"Vasardani",
"Maria",
""
],
[
"Winter",
"Stephan",
""
]
] | Everyday place descriptions often contain place names of fine-grained features, such as buildings or businesses, that are more difficult to disambiguate than names referring to larger places, for example cities or natural geographic features. Fine-grained places are often significantly more frequent and more similar to... |
1611.01421 | Saeed Reza Kheradpisheh | Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J Thorpe,
Timoth\'ee Masquelier | STDP-based spiking deep convolutional neural networks for object
recognition | null | Neural Networks 2018 | 10.1016/j.neunet.2017.12.005 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Previous studies have shown that spike-timing-dependent plasticity (STDP) can
be used in spiking neural networks (SNN) to extract visual features of low or
intermediate complexity in an unsupervised manner. These studies, however, used
relatively shallow architectures, and only one layer was trainable. Another
line o... | [
{
"created": "Fri, 4 Nov 2016 15:25:13 GMT",
"version": "v1"
},
{
"created": "Thu, 2 Nov 2017 14:28:09 GMT",
"version": "v2"
},
{
"created": "Mon, 25 Dec 2017 12:57:57 GMT",
"version": "v3"
}
] | 2018-03-12 | [
[
"Kheradpisheh",
"Saeed Reza",
""
],
[
"Ganjtabesh",
"Mohammad",
""
],
[
"Thorpe",
"Simon J",
""
],
[
"Masquelier",
"Timothée",
""
]
] | Previous studies have shown that spike-timing-dependent plasticity (STDP) can be used in spiking neural networks (SNN) to extract visual features of low or intermediate complexity in an unsupervised manner. These studies, however, used relatively shallow architectures, and only one layer was trainable. Another line of ... |
2312.15068 | Xingfang Wu | Xingfang Wu, Heng Li, Nobukazu Yoshioka, Hironori Washizaki, Foutse
Khomh | Refining GPT-3 Embeddings with a Siamese Structure for Technical Post
Duplicate Detection | SANER 2024 | null | null | null | cs.SE cs.CL cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | One goal of technical online communities is to help developers find the right
answer in one place. A single question can be asked in different ways with
different wordings, leading to the existence of duplicate posts on technical
forums. The question of how to discover and link duplicate posts has garnered
the attent... | [
{
"created": "Fri, 22 Dec 2023 21:14:37 GMT",
"version": "v1"
},
{
"created": "Mon, 4 Mar 2024 17:03:42 GMT",
"version": "v2"
}
] | 2024-03-05 | [
[
"Wu",
"Xingfang",
""
],
[
"Li",
"Heng",
""
],
[
"Yoshioka",
"Nobukazu",
""
],
[
"Washizaki",
"Hironori",
""
],
[
"Khomh",
"Foutse",
""
]
] | One goal of technical online communities is to help developers find the right answer in one place. A single question can be asked in different ways with different wordings, leading to the existence of duplicate posts on technical forums. The question of how to discover and link duplicate posts has garnered the attentio... |
2011.13354 | Aditya Kalyanpur | Aditya Kalyanpur, Tom Breloff, David Ferrucci | Braid: Weaving Symbolic and Neural Knowledge into Coherent Logical
Explanations | Accepted at AAAI-2022 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Traditional symbolic reasoning engines, while attractive for their precision
and explicability, have a few major drawbacks: the use of brittle inference
procedures that rely on exact matching (unification) of logical terms, an
inability to deal with uncertainty, and the need for a precompiled rule-base of
knowledge (... | [
{
"created": "Thu, 26 Nov 2020 15:36:06 GMT",
"version": "v1"
},
{
"created": "Wed, 2 Dec 2020 04:44:00 GMT",
"version": "v2"
},
{
"created": "Fri, 11 Dec 2020 17:40:52 GMT",
"version": "v3"
},
{
"created": "Sun, 5 Dec 2021 02:34:30 GMT",
"version": "v4"
}
] | 2021-12-07 | [
[
"Kalyanpur",
"Aditya",
""
],
[
"Breloff",
"Tom",
""
],
[
"Ferrucci",
"David",
""
]
] | Traditional symbolic reasoning engines, while attractive for their precision and explicability, have a few major drawbacks: the use of brittle inference procedures that rely on exact matching (unification) of logical terms, an inability to deal with uncertainty, and the need for a precompiled rule-base of knowledge (th... |
2101.09667 | Md Abul Bashar | Fahim Shahriar, Md Abul Bashar | Automatic Monitoring Social Dynamics During Big Incidences: A Case Study
of COVID-19 in Bangladesh | Very minor change | null | null | null | cs.CY cs.CL cs.LG cs.SI | http://creativecommons.org/licenses/by/4.0/ | Newspapers are trustworthy media where people get the most reliable and
credible information compared with other sources. On the other hand, social
media often spread rumors and misleading news to get more traffic and
attention. Careful characterization, evaluation, and interpretation of
newspaper data can provide in... | [
{
"created": "Sun, 24 Jan 2021 07:46:17 GMT",
"version": "v1"
},
{
"created": "Sun, 31 Jan 2021 16:47:37 GMT",
"version": "v2"
}
] | 2021-02-02 | [
[
"Shahriar",
"Fahim",
""
],
[
"Bashar",
"Md Abul",
""
]
] | Newspapers are trustworthy media where people get the most reliable and credible information compared with other sources. On the other hand, social media often spread rumors and misleading news to get more traffic and attention. Careful characterization, evaluation, and interpretation of newspaper data can provide insi... |
2402.07066 | Guanyang Wang | Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Guanyang Wang | Differentially Private Range Queries with Correlated Input Perturbation | 26 pages, 8 figures | null | null | null | cs.CR cs.LG stat.ME | http://creativecommons.org/licenses/by/4.0/ | This work proposes a class of locally differentially private mechanisms for
linear queries, in particular range queries, that leverages correlated input
perturbation to simultaneously achieve unbiasedness, consistency, statistical
transparency, and control over utility requirements in terms of accuracy
targets expres... | [
{
"created": "Sat, 10 Feb 2024 23:42:05 GMT",
"version": "v1"
}
] | 2024-02-13 | [
[
"Dharangutte",
"Prathamesh",
""
],
[
"Gao",
"Jie",
""
],
[
"Gong",
"Ruobin",
""
],
[
"Wang",
"Guanyang",
""
]
] | This work proposes a class of locally differentially private mechanisms for linear queries, in particular range queries, that leverages correlated input perturbation to simultaneously achieve unbiasedness, consistency, statistical transparency, and control over utility requirements in terms of accuracy targets expresse... |
1706.07372 | Carmen Torres Lopez | Carmen Torres Lopez, Stefan Marr, Hanspeter M\"ossenb\"ock, Elisa
Gonzalez Boix | A Study of Concurrency Bugs and Advanced Development Support for
Actor-based Programs | - Submitted for review - Removed section 6 "Research Roadmap for
Debuggers", its content was summarized in the Future Work section - Added
references for section 1, section 3, section 4.3 and section 5.1 - Updated
citations | null | null | null | cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The actor model is an attractive foundation for developing concurrent
applications because actors are isolated concurrent entities that communicate
through asynchronous messages and do not share state. Thereby, they avoid
concurrency bugs such as data races, but are not immune to concurrency bugs in
general. This stu... | [
{
"created": "Thu, 22 Jun 2017 15:31:53 GMT",
"version": "v1"
},
{
"created": "Mon, 23 Apr 2018 16:35:24 GMT",
"version": "v2"
},
{
"created": "Tue, 24 Apr 2018 08:41:27 GMT",
"version": "v3"
}
] | 2018-04-25 | [
[
"Lopez",
"Carmen Torres",
""
],
[
"Marr",
"Stefan",
""
],
[
"Mössenböck",
"Hanspeter",
""
],
[
"Boix",
"Elisa Gonzalez",
""
]
] | The actor model is an attractive foundation for developing concurrent applications because actors are isolated concurrent entities that communicate through asynchronous messages and do not share state. Thereby, they avoid concurrency bugs such as data races, but are not immune to concurrency bugs in general. This study... |
2005.03724 | Yang Gao | Yang Gao, Wei Zhao, Steffen Eger | SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for
Multi-Document Summarization | ACL 2020 | null | null | null | cs.CL cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study unsupervised multi-document summarization evaluation metrics, which
require neither human-written reference summaries nor human annotations (e.g.
preferences, ratings, etc.). We propose SUPERT, which rates the quality of a
summary by measuring its semantic similarity with a pseudo reference summary,
i.e. sel... | [
{
"created": "Thu, 7 May 2020 19:54:24 GMT",
"version": "v1"
}
] | 2020-05-11 | [
[
"Gao",
"Yang",
""
],
[
"Zhao",
"Wei",
""
],
[
"Eger",
"Steffen",
""
]
] | We study unsupervised multi-document summarization evaluation metrics, which require neither human-written reference summaries nor human annotations (e.g. preferences, ratings, etc.). We propose SUPERT, which rates the quality of a summary by measuring its semantic similarity with a pseudo reference summary, i.e. selec... |
2206.06247 | Hugo Tessier | Hugo Tessier, Vincent Gripon, Mathieu L\'eonardon, Matthieu Arzel,
David Bertrand, Thomas Hannagan | Leveraging Structured Pruning of Convolutional Neural Networks | 6 pages, 5 figures, submitted to SiPS 2022 | null | 10.1109/SiPS55645.2022.9919253 | null | cs.NE | http://creativecommons.org/licenses/by/4.0/ | Structured pruning is a popular method to reduce the cost of convolutional
neural networks, that are the state of the art in many computer vision tasks.
However, depending on the architecture, pruning introduces dimensional
discrepancies which prevent the actual reduction of pruned networks. To tackle
this problem, w... | [
{
"created": "Mon, 13 Jun 2022 15:29:12 GMT",
"version": "v1"
}
] | 2022-12-13 | [
[
"Tessier",
"Hugo",
""
],
[
"Gripon",
"Vincent",
""
],
[
"Léonardon",
"Mathieu",
""
],
[
"Arzel",
"Matthieu",
""
],
[
"Bertrand",
"David",
""
],
[
"Hannagan",
"Thomas",
""
]
] | Structured pruning is a popular method to reduce the cost of convolutional neural networks, that are the state of the art in many computer vision tasks. However, depending on the architecture, pruning introduces dimensional discrepancies which prevent the actual reduction of pruned networks. To tackle this problem, we ... |
1907.00042 | Wei Cai | Tengfei Wang and Shuyi Zhang and Xiao Wu and Wei Cai | Rhythm Dungeon: A Blockchain-based Music Roguelike Game | null | 2019 Foundation of Digital Games Demos (FDG 2019 DEMO), San Luis
Obispo, California, USA, August 26-30, 2019 | null | null | cs.MM cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Rhythm Dungeon is a rhythm game which leverages the blockchain as a shared
open database. During the gaming session, the player explores a roguelike
dungeon by inputting specific sequences in time to music rhythm. By integrating
smart contract to the game program, the enemies through the venture are
generated from ot... | [
{
"created": "Fri, 28 Jun 2019 19:05:53 GMT",
"version": "v1"
}
] | 2019-07-02 | [
[
"Wang",
"Tengfei",
""
],
[
"Zhang",
"Shuyi",
""
],
[
"Wu",
"Xiao",
""
],
[
"Cai",
"Wei",
""
]
] | Rhythm Dungeon is a rhythm game which leverages the blockchain as a shared open database. During the gaming session, the player explores a roguelike dungeon by inputting specific sequences in time to music rhythm. By integrating smart contract to the game program, the enemies through the venture are generated from othe... |
1011.4957 | Andreas Wiese | Jos\'e Verschae and Andreas Wiese | On the Configuration-LP for Scheduling on Unrelated Machines | 12 pages, 1 figure | null | null | Report-no: 025-2010 | cs.DM cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | One of the most important open problems in machine scheduling is the problem
of scheduling a set of jobs on unrelated machines to minimize the makespan. The
best known approximation algorithm for this problem guarantees an approximation
factor of 2. It is known to be NP-hard to approximate with a better ratio than
3/... | [
{
"created": "Mon, 22 Nov 2010 21:30:29 GMT",
"version": "v1"
}
] | 2015-03-17 | [
[
"Verschae",
"José",
""
],
[
"Wiese",
"Andreas",
""
]
] | One of the most important open problems in machine scheduling is the problem of scheduling a set of jobs on unrelated machines to minimize the makespan. The best known approximation algorithm for this problem guarantees an approximation factor of 2. It is known to be NP-hard to approximate with a better ratio than 3/2.... |
2012.11352 | Francesco Ranzato | Francesco Ranzato and Marco Zanella | Genetic Adversarial Training of Decision Trees | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We put forward a novel learning methodology for ensembles of decision trees
based on a genetic algorithm which is able to train a decision tree for
maximizing both its accuracy and its robustness to adversarial perturbations.
This learning algorithm internally leverages a complete formal verification
technique for ro... | [
{
"created": "Mon, 21 Dec 2020 14:05:57 GMT",
"version": "v1"
}
] | 2020-12-22 | [
[
"Ranzato",
"Francesco",
""
],
[
"Zanella",
"Marco",
""
]
] | We put forward a novel learning methodology for ensembles of decision trees based on a genetic algorithm which is able to train a decision tree for maximizing both its accuracy and its robustness to adversarial perturbations. This learning algorithm internally leverages a complete formal verification technique for robu... |
2002.02061 | Xiaoguang Li | Xiaoguang Li, Hui Li, Haonan Yan, Zelei Cheng, Wenhai Sun, Hui Zhu | Mitigating Query-Flooding Parameter Duplication Attack on Regression
Models with High-Dimensional Gaussian Mechanism | it has some mistakes. Since I submitted the paper for the first time,
there were many mistakes in the paper. At the same time, I found a serious
mistake in the content of the paper, so I thought it was inappropriate to
publish it now after careful consideration. | null | null | null | cs.CR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Public intelligent services enabled by machine learning algorithms are
vulnerable to model extraction attacks that can steal confidential information
of the learning models through public queries. Differential privacy (DP) has
been considered a promising technique to mitigate this attack. However, we find
that the vu... | [
{
"created": "Thu, 6 Feb 2020 01:47:08 GMT",
"version": "v1"
},
{
"created": "Tue, 14 Apr 2020 14:20:42 GMT",
"version": "v2"
},
{
"created": "Sun, 7 Jun 2020 01:40:09 GMT",
"version": "v3"
}
] | 2020-06-09 | [
[
"Li",
"Xiaoguang",
""
],
[
"Li",
"Hui",
""
],
[
"Yan",
"Haonan",
""
],
[
"Cheng",
"Zelei",
""
],
[
"Sun",
"Wenhai",
""
],
[
"Zhu",
"Hui",
""
]
] | Public intelligent services enabled by machine learning algorithms are vulnerable to model extraction attacks that can steal confidential information of the learning models through public queries. Differential privacy (DP) has been considered a promising technique to mitigate this attack. However, we find that the vuln... |
2308.01529 | Judy Fox | Navya Annapareddy, Yingzheng Liu, Judy Fox | Towards Fair and Privacy Preserving Federated Learning for the
Healthcare Domain | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Federated learning enables data sharing in healthcare contexts where it might
otherwise be difficult due to data-use-ordinances or security and communication
constraints. Distributed and shared data models allow models to become
generalizable and learn from heterogeneous clients. While addressing data
security, priva... | [
{
"created": "Thu, 3 Aug 2023 04:08:06 GMT",
"version": "v1"
}
] | 2023-08-04 | [
[
"Annapareddy",
"Navya",
""
],
[
"Liu",
"Yingzheng",
""
],
[
"Fox",
"Judy",
""
]
] | Federated learning enables data sharing in healthcare contexts where it might otherwise be difficult due to data-use-ordinances or security and communication constraints. Distributed and shared data models allow models to become generalizable and learn from heterogeneous clients. While addressing data security, privacy... |
2203.16106 | Marcos Faundez-Zanuy | Virginia Espinosa-Dur\'o, Marcos Faundez-Zanuy, Jiri Mekyska | Contribution of the Temperature of the Objects to the Problem of Thermal
Imaging Focusing | 5 pages, published in 2012 IEEE International Carnahan Conference on
Security Technology (ICCST), 15-18 Oct. 2012 Boston (MA) USA. arXiv admin
note: text overlap with arXiv:2203.08513 | 2012 IEEE International Carnahan Conference on Security Technology
(ICCST), 2012, pp. 363-366 | 10.1109/CCST.2012.6393586 | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | When focusing an image, depth of field, aperture and distance from the camera
to the object, must be taking into account, both, in visible and in infrared
spectrum. Our experiments reveal that in addition, the focusing problem in
thermal spectrum is also hardly dependent of the temperature of the object
itself (and/o... | [
{
"created": "Wed, 30 Mar 2022 07:28:13 GMT",
"version": "v1"
}
] | 2022-03-31 | [
[
"Espinosa-Duró",
"Virginia",
""
],
[
"Faundez-Zanuy",
"Marcos",
""
],
[
"Mekyska",
"Jiri",
""
]
] | When focusing an image, depth of field, aperture and distance from the camera to the object, must be taking into account, both, in visible and in infrared spectrum. Our experiments reveal that in addition, the focusing problem in thermal spectrum is also hardly dependent of the temperature of the object itself (and/or ... |
2307.15425 | Arash Hajikhani Dr. | Arash Hajikhani, Carolyn Cole | A Critical Review of Large Language Models: Sensitivity, Bias, and the
Path Toward Specialized AI | 17 pages, 6 figures, 6 tables | null | null | 17 | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | This paper examines the comparative effectiveness of a specialized compiled
language model and a general-purpose model like OpenAI's GPT-3.5 in detecting
SDGs within text data. It presents a critical review of Large Language Models
(LLMs), addressing challenges related to bias and sensitivity. The necessity of
specia... | [
{
"created": "Fri, 28 Jul 2023 09:20:22 GMT",
"version": "v1"
}
] | 2023-07-31 | [
[
"Hajikhani",
"Arash",
""
],
[
"Cole",
"Carolyn",
""
]
] | This paper examines the comparative effectiveness of a specialized compiled language model and a general-purpose model like OpenAI's GPT-3.5 in detecting SDGs within text data. It presents a critical review of Large Language Models (LLMs), addressing challenges related to bias and sensitivity. The necessity of speciali... |
2208.09665 | Jun Yuan | Jun Yuan, Mengchen Liu, Fengyuan Tian, and Shixia Liu | Visual Analysis of Neural Architecture Spaces for Summarizing Design
Principles | 11 pages, 11 figures; accepted for IEEE VIS 2022 | null | null | null | cs.HC cs.LG | http://creativecommons.org/licenses/by/4.0/ | Recent advances in artificial intelligence largely benefit from better neural
network architectures. These architectures are a product of a costly process of
trial-and-error. To ease this process, we develop ArchExplorer, a visual
analysis method for understanding a neural architecture space and summarizing
design pr... | [
{
"created": "Sat, 20 Aug 2022 12:15:59 GMT",
"version": "v1"
}
] | 2022-08-23 | [
[
"Yuan",
"Jun",
""
],
[
"Liu",
"Mengchen",
""
],
[
"Tian",
"Fengyuan",
""
],
[
"Liu",
"Shixia",
""
]
] | Recent advances in artificial intelligence largely benefit from better neural network architectures. These architectures are a product of a costly process of trial-and-error. To ease this process, we develop ArchExplorer, a visual analysis method for understanding a neural architecture space and summarizing design prin... |
2207.05979 | Shogo Anda | Shogo Anda, Masato Kikuchi, Tadachika Ozono | Developing a Component Comment Extractor from Product Reviews on
E-Commerce Sites | The 14th International Conference on E-Service and Knowledge
Management (ESKM 2022), 6 pages, 6 figures, 5 tables | 2022 11th International Congress on Advanced Applied Informatics
(IIAI-AAI), pp. 83--88, 2022 | 10.1109/IIAI-AAI55812.2022.00026 | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Consumers often read product reviews to inform their buying decision, as some
consumers want to know a specific component of a product. However, because
typical sentences on product reviews contain various details, users must
identify sentences about components they want to know amongst the many reviews.
Therefore, w... | [
{
"created": "Wed, 13 Jul 2022 06:25:55 GMT",
"version": "v1"
}
] | 2022-07-14 | [
[
"Anda",
"Shogo",
""
],
[
"Kikuchi",
"Masato",
""
],
[
"Ozono",
"Tadachika",
""
]
] | Consumers often read product reviews to inform their buying decision, as some consumers want to know a specific component of a product. However, because typical sentences on product reviews contain various details, users must identify sentences about components they want to know amongst the many reviews. Therefore, we ... |
2108.06583 | Yuan Wu | Yuan Wu, Diana Inkpen and Ahmed El-Roby | Towards Category and Domain Alignment: Category-Invariant Feature
Enhancement for Adversarial Domain Adaptation | 10 pages, 4 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Adversarial domain adaptation has made impressive advances in transferring
knowledge from the source domain to the target domain by aligning feature
distributions of both domains. These methods focus on minimizing domain
divergence and regard the adaptability, which is measured as the expected error
of the ideal join... | [
{
"created": "Sat, 14 Aug 2021 16:51:39 GMT",
"version": "v1"
}
] | 2021-08-17 | [
[
"Wu",
"Yuan",
""
],
[
"Inkpen",
"Diana",
""
],
[
"El-Roby",
"Ahmed",
""
]
] | Adversarial domain adaptation has made impressive advances in transferring knowledge from the source domain to the target domain by aligning feature distributions of both domains. These methods focus on minimizing domain divergence and regard the adaptability, which is measured as the expected error of the ideal joint ... |
2110.15056 | Jack Millichamp MSc | Jack Millichamp, Xi Chen | Brain-inspired feature exaggeration in generative replay for continual
learning | 5 pages, 3 figures, submitted to ICASSP | null | null | null | cs.LG cs.AI cs.NE | http://creativecommons.org/licenses/by/4.0/ | The catastrophic forgetting of previously learnt classes is one of the main
obstacles to the successful development of a reliable and accurate generative
continual learning model. When learning new classes, the internal
representation of previously learnt ones can often be overwritten, resulting in
the model's "memor... | [
{
"created": "Tue, 26 Oct 2021 10:49:02 GMT",
"version": "v1"
},
{
"created": "Tue, 23 Nov 2021 13:25:22 GMT",
"version": "v2"
}
] | 2021-11-24 | [
[
"Millichamp",
"Jack",
""
],
[
"Chen",
"Xi",
""
]
] | The catastrophic forgetting of previously learnt classes is one of the main obstacles to the successful development of a reliable and accurate generative continual learning model. When learning new classes, the internal representation of previously learnt ones can often be overwritten, resulting in the model's "memory"... |
2110.12618 | Xiang Zhang | Xiang Zhang, Shiyu Jin, Changhao Wang, Xinghao Zhu, Masayoshi Tomizuka | Learning Insertion Primitives with Discrete-Continuous Hybrid Action
Space for Robotic Assembly Tasks | Submitted to ICRA 22 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper introduces a discrete-continuous action space to learn insertion
primitives for robotic assembly tasks. Primitive is a sequence of elementary
actions with certain exit conditions, such as "pushing down the peg until
contact". Since the primitive is an abstraction of robot control commands and
encodes human... | [
{
"created": "Mon, 25 Oct 2021 03:08:01 GMT",
"version": "v1"
}
] | 2021-10-26 | [
[
"Zhang",
"Xiang",
""
],
[
"Jin",
"Shiyu",
""
],
[
"Wang",
"Changhao",
""
],
[
"Zhu",
"Xinghao",
""
],
[
"Tomizuka",
"Masayoshi",
""
]
] | This paper introduces a discrete-continuous action space to learn insertion primitives for robotic assembly tasks. Primitive is a sequence of elementary actions with certain exit conditions, such as "pushing down the peg until contact". Since the primitive is an abstraction of robot control commands and encodes human p... |
2205.03891 | Bin Zhu | Bin Zhu, Chong-Wah Ngo, Jingjing Chen, Wing-Kwong Chan | Cross-lingual Adaptation for Recipe Retrieval with Mixup | Accepted by ICMR2022 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Cross-modal recipe retrieval has attracted research attention in recent
years, thanks to the availability of large-scale paired data for training.
Nevertheless, obtaining adequate recipe-image pairs covering the majority of
cuisines for supervised learning is difficult if not impossible. By
transferring knowledge lea... | [
{
"created": "Sun, 8 May 2022 15:04:39 GMT",
"version": "v1"
}
] | 2022-05-10 | [
[
"Zhu",
"Bin",
""
],
[
"Ngo",
"Chong-Wah",
""
],
[
"Chen",
"Jingjing",
""
],
[
"Chan",
"Wing-Kwong",
""
]
] | Cross-modal recipe retrieval has attracted research attention in recent years, thanks to the availability of large-scale paired data for training. Nevertheless, obtaining adequate recipe-image pairs covering the majority of cuisines for supervised learning is difficult if not impossible. By transferring knowledge learn... |
2208.06692 | Giuseppe Antonio Di Luna | Fiorella Artuso, Marco Mormando, Giuseppe A. Di Luna, Leonardo
Querzoni | BinBert: Binary Code Understanding with a Fine-tunable and
Execution-aware Transformer | null | null | null | null | cs.CR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A recent trend in binary code analysis promotes the use of neural solutions
based on instruction embedding models. An instruction embedding model is a
neural network that transforms sequences of assembly instructions into
embedding vectors. If the embedding network is trained such that the
translation from code to ve... | [
{
"created": "Sat, 13 Aug 2022 17:48:52 GMT",
"version": "v1"
}
] | 2022-08-16 | [
[
"Artuso",
"Fiorella",
""
],
[
"Mormando",
"Marco",
""
],
[
"Di Luna",
"Giuseppe A.",
""
],
[
"Querzoni",
"Leonardo",
""
]
] | A recent trend in binary code analysis promotes the use of neural solutions based on instruction embedding models. An instruction embedding model is a neural network that transforms sequences of assembly instructions into embedding vectors. If the embedding network is trained such that the translation from code to vect... |
2201.08052 | Haidong Xie | Haidong Xie, Yizhou Xu, Yuanqing Chen, Nan Ji, Shuai Yuan, Naijin Liu,
Xueshuang Xiang | Adversarial Jamming for a More Effective Constellation Attack | 3 pages, 2 figures, published in The 13th International Symposium on
Antennas, Propagation and EM Theory (ISAPE 2021) | null | 10.1109/ISAPE54070.2021.9753154 | null | cs.CR eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The common jamming mode in wireless communication is band barrage jamming,
which is controllable and difficult to resist. Although this method is simple
to implement, it is obviously not the best jamming waveform. Therefore, based
on the idea of adversarial examples, we propose the adversarial jamming
waveform, which... | [
{
"created": "Thu, 20 Jan 2022 08:36:31 GMT",
"version": "v1"
}
] | 2022-12-23 | [
[
"Xie",
"Haidong",
""
],
[
"Xu",
"Yizhou",
""
],
[
"Chen",
"Yuanqing",
""
],
[
"Ji",
"Nan",
""
],
[
"Yuan",
"Shuai",
""
],
[
"Liu",
"Naijin",
""
],
[
"Xiang",
"Xueshuang",
""
]
] | The common jamming mode in wireless communication is band barrage jamming, which is controllable and difficult to resist. Although this method is simple to implement, it is obviously not the best jamming waveform. Therefore, based on the idea of adversarial examples, we propose the adversarial jamming waveform, which c... |
1901.10812 | Yehuda Dar | Yehuda Dar and Alfred M. Bruckstein | Benefiting from Duplicates of Compressed Data: Shift-Based Holographic
Compression of Images | null | null | null | null | cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Storage systems often rely on multiple copies of the same compressed data,
enabling recovery in case of binary data errors, of course, at the expense of a
higher storage cost. In this paper we show that a wiser method of duplication
entails great potential benefits for data types tolerating approximate
representation... | [
{
"created": "Wed, 30 Jan 2019 13:23:36 GMT",
"version": "v1"
},
{
"created": "Thu, 7 Feb 2019 18:09:20 GMT",
"version": "v2"
}
] | 2019-02-08 | [
[
"Dar",
"Yehuda",
""
],
[
"Bruckstein",
"Alfred M.",
""
]
] | Storage systems often rely on multiple copies of the same compressed data, enabling recovery in case of binary data errors, of course, at the expense of a higher storage cost. In this paper we show that a wiser method of duplication entails great potential benefits for data types tolerating approximate representations,... |
1210.2897 | Francis J. O'Brien Jr. | Francis J. OBrien Jr, Nathan Johnnie, Susan Maloney and Aimee Ross | A Proposed General Method for Parameter Estimation of Noise Corrupted
Oscillator Systems | 33 pages, 9 figures | null | null | null | cs.SY physics.data-an | http://creativecommons.org/licenses/publicdomain/ | This paper provides a proposed means to estimate parameters of noise
corrupted oscillator systems. An application for a submarine combat control
systems (CCS) rack is described as exemplary of the method.
| [
{
"created": "Wed, 10 Oct 2012 16:18:45 GMT",
"version": "v1"
}
] | 2012-10-11 | [
[
"OBrien",
"Francis J.",
"Jr"
],
[
"Johnnie",
"Nathan",
""
],
[
"Maloney",
"Susan",
""
],
[
"Ross",
"Aimee",
""
]
] | This paper provides a proposed means to estimate parameters of noise corrupted oscillator systems. An application for a submarine combat control systems (CCS) rack is described as exemplary of the method. |
2207.02180 | Mahmood Ahmadi | Aladdin Abdulhassan and Mahmood Ahmadi | Many-fields Packet Classification Using R-Tree and Field Concatenation
Technique | We will revise it and submit it again | null | null | null | cs.NI | http://creativecommons.org/licenses/by/4.0/ | Software-defined Networking is an approach that decouples the software-based
control plane from the hardware-based data plane proposed for enterprise
networks; OpenFlow is the most famous flexible protocol that can manage network
traffic between the control and the data plane. Software-Defined Networking
(SDN) requir... | [
{
"created": "Tue, 5 Jul 2022 17:17:50 GMT",
"version": "v1"
},
{
"created": "Tue, 6 Jun 2023 14:47:46 GMT",
"version": "v2"
}
] | 2023-06-07 | [
[
"Abdulhassan",
"Aladdin",
""
],
[
"Ahmadi",
"Mahmood",
""
]
] | Software-defined Networking is an approach that decouples the software-based control plane from the hardware-based data plane proposed for enterprise networks; OpenFlow is the most famous flexible protocol that can manage network traffic between the control and the data plane. Software-Defined Networking (SDN) requires... |
2407.03582 | Andrew Bouras | Andrew Bouras | Integrating Randomness in Large Language Models: A Linear Congruential
Generator Approach for Generating Clinically Relevant Content | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Generating diverse, high-quality outputs from language models is crucial for
applications in education and content creation. Achieving true randomness and
avoiding repetition remains a significant challenge. This study uses the Linear
Congruential Generator method for systematic fact selection, combined with
AI-power... | [
{
"created": "Thu, 4 Jul 2024 02:21:47 GMT",
"version": "v1"
}
] | 2024-07-08 | [
[
"Bouras",
"Andrew",
""
]
] | Generating diverse, high-quality outputs from language models is crucial for applications in education and content creation. Achieving true randomness and avoiding repetition remains a significant challenge. This study uses the Linear Congruential Generator method for systematic fact selection, combined with AI-powered... |
2311.02093 | Zhaoxin Chang | Zhaoxin Chang and Fusang Zhang and Daqing Zhang | An Exploration on Integrated Sensing and Communication for the Future
Smart Internet of Things | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Internet of Things (IoT) technologies are the foundation of a fully connected
world. Currently, IoT devices (or nodes) primarily use dedicated sensors to
sense and collect data at large scales, and then transmit the data to target
nodes or gateways through wireless communication for further processing and
analytics. ... | [
{
"created": "Fri, 27 Oct 2023 19:03:10 GMT",
"version": "v1"
}
] | 2023-11-07 | [
[
"Chang",
"Zhaoxin",
""
],
[
"Zhang",
"Fusang",
""
],
[
"Zhang",
"Daqing",
""
]
] | Internet of Things (IoT) technologies are the foundation of a fully connected world. Currently, IoT devices (or nodes) primarily use dedicated sensors to sense and collect data at large scales, and then transmit the data to target nodes or gateways through wireless communication for further processing and analytics. In... |
2111.14366 | David Lovell | David Lovell, Kellie Vella, Diego Mu\~noz, Matt McKague, Margot
Brereton and Peter Ellis | Exploring technologies to better link physical evidence and digital
information for disaster victim identification | 27 pages, 2 figures | Forensic Sciences Research 2022 | 10.1080/20961790.2021.2023418 | null | cs.HC | http://creativecommons.org/licenses/by/4.0/ | Disaster victim identification (DVI) entails a protracted process of evidence
collection and data matching to reconcile physical remains with victim
identity. Technology is critical to DVI by enabling the linkage of physical
evidence to information. However, labelling physical remains and collecting
data at the scene... | [
{
"created": "Mon, 29 Nov 2021 07:46:56 GMT",
"version": "v1"
}
] | 2022-06-07 | [
[
"Lovell",
"David",
""
],
[
"Vella",
"Kellie",
""
],
[
"Muñoz",
"Diego",
""
],
[
"McKague",
"Matt",
""
],
[
"Brereton",
"Margot",
""
],
[
"Ellis",
"Peter",
""
]
] | Disaster victim identification (DVI) entails a protracted process of evidence collection and data matching to reconcile physical remains with victim identity. Technology is critical to DVI by enabling the linkage of physical evidence to information. However, labelling physical remains and collecting data at the scene a... |
1708.02383 | Meng Fang | Meng Fang, Yuan Li and Trevor Cohn | Learning how to Active Learn: A Deep Reinforcement Learning Approach | To appear in EMNLP 2017 | null | null | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Active learning aims to select a small subset of data for annotation such
that a classifier learned on the data is highly accurate. This is usually done
using heuristic selection methods, however the effectiveness of such methods is
limited and moreover, the performance of heuristics varies between datasets. To
addre... | [
{
"created": "Tue, 8 Aug 2017 07:06:48 GMT",
"version": "v1"
}
] | 2017-08-09 | [
[
"Fang",
"Meng",
""
],
[
"Li",
"Yuan",
""
],
[
"Cohn",
"Trevor",
""
]
] | Active learning aims to select a small subset of data for annotation such that a classifier learned on the data is highly accurate. This is usually done using heuristic selection methods, however the effectiveness of such methods is limited and moreover, the performance of heuristics varies between datasets. To address... |
2208.00565 | Maia Stiber | Maia Stiber and Russell Taylor and Chien-Ming Huang | Modeling Human Response to Robot Errors for Timely Error Detection | Accepted to 2022 International Conference on Intelligent Robots and
Systems (IROS), 8 pages, 6 figures | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | In human-robot collaboration, robot errors are inevitable -- damaging user
trust, willingness to work together, and task performance. Prior work has shown
that people naturally respond to robot errors socially and that in social
interactions it is possible to use human responses to detect errors. However,
there is li... | [
{
"created": "Mon, 1 Aug 2022 01:55:31 GMT",
"version": "v1"
}
] | 2022-08-02 | [
[
"Stiber",
"Maia",
""
],
[
"Taylor",
"Russell",
""
],
[
"Huang",
"Chien-Ming",
""
]
] | In human-robot collaboration, robot errors are inevitable -- damaging user trust, willingness to work together, and task performance. Prior work has shown that people naturally respond to robot errors socially and that in social interactions it is possible to use human responses to detect errors. However, there is litt... |
1303.0594 | Dionysios Kalogerias | Dionysios S. Kalogerias and Athina P. Petropulu | On the Coherence Properties of Random Euclidean Distance Matrices | 5 pages, SPAWC 2013 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the present paper we focus on the coherence properties of general random
Euclidean distance matrices, which are very closely related to the respective
matrix completion problem. This problem is of great interest in several
applications such as node localization in sensor networks with limited
connectivity. Our res... | [
{
"created": "Mon, 4 Mar 2013 03:52:16 GMT",
"version": "v1"
},
{
"created": "Sat, 11 May 2013 18:36:36 GMT",
"version": "v2"
}
] | 2013-05-14 | [
[
"Kalogerias",
"Dionysios S.",
""
],
[
"Petropulu",
"Athina P.",
""
]
] | In the present paper we focus on the coherence properties of general random Euclidean distance matrices, which are very closely related to the respective matrix completion problem. This problem is of great interest in several applications such as node localization in sensor networks with limited connectivity. Our resul... |
2308.13841 | Wanrong He | Wanrong He, Mitchell L. Gordon, Lindsay Popowski, Michael S. Bernstein | Cura: Curation at Social Media Scale | CSCW 2023 | null | 10.1145/3610186 | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | How can online communities execute a focused vision for their space? Curation
offers one approach, where community leaders manually select content to share
with the community. Curation enables leaders to shape a space that matches
their taste, norms, and values, but the practice is often intractable at social
media s... | [
{
"created": "Sat, 26 Aug 2023 10:25:05 GMT",
"version": "v1"
}
] | 2023-08-29 | [
[
"He",
"Wanrong",
""
],
[
"Gordon",
"Mitchell L.",
""
],
[
"Popowski",
"Lindsay",
""
],
[
"Bernstein",
"Michael S.",
""
]
] | How can online communities execute a focused vision for their space? Curation offers one approach, where community leaders manually select content to share with the community. Curation enables leaders to shape a space that matches their taste, norms, and values, but the practice is often intractable at social media sca... |
2407.16248 | Xiaowan Hu | Xiaowan Hu, Yiyi Chen, Yan Li, Minquan Wang, Haoqian Wang, Quan Chen,
Han Li, Peng Jiang | Spatiotemporal Graph Guided Multi-modal Network for Livestreaming
Product Retrieval | 16 pages, 12 figures | null | null | null | cs.CV cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the rapid expansion of e-commerce, more consumers have become accustomed
to making purchases via livestreaming. Accurately identifying the products
being sold by salespeople, i.e., livestreaming product retrieval (LPR), poses a
fundamental and daunting challenge. The LPR task encompasses three primary
dilemmas i... | [
{
"created": "Tue, 23 Jul 2024 07:36:54 GMT",
"version": "v1"
},
{
"created": "Wed, 24 Jul 2024 05:56:55 GMT",
"version": "v2"
},
{
"created": "Mon, 5 Aug 2024 09:05:59 GMT",
"version": "v3"
}
] | 2024-08-06 | [
[
"Hu",
"Xiaowan",
""
],
[
"Chen",
"Yiyi",
""
],
[
"Li",
"Yan",
""
],
[
"Wang",
"Minquan",
""
],
[
"Wang",
"Haoqian",
""
],
[
"Chen",
"Quan",
""
],
[
"Li",
"Han",
""
],
[
"Jiang",
"Peng",
""
... | With the rapid expansion of e-commerce, more consumers have become accustomed to making purchases via livestreaming. Accurately identifying the products being sold by salespeople, i.e., livestreaming product retrieval (LPR), poses a fundamental and daunting challenge. The LPR task encompasses three primary dilemmas in ... |
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