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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2312.11536 | Litian Liu | Litian Liu and Yao Qin | Fast Decision Boundary based Out-of-Distribution Detector | ICML 2024 main conference paper | null | null | null | cs.LG eess.IV | http://creativecommons.org/licenses/by/4.0/ | Efficient and effective Out-of-Distribution (OOD) detection is essential for
the safe deployment of AI systems. Existing feature space methods, while
effective, often incur significant computational overhead due to their reliance
on auxiliary models built from training features. In this paper, we propose a
computatio... | [
{
"created": "Fri, 15 Dec 2023 19:50:32 GMT",
"version": "v1"
},
{
"created": "Tue, 4 Jun 2024 16:01:27 GMT",
"version": "v2"
}
] | 2024-06-05 | [
[
"Liu",
"Litian",
""
],
[
"Qin",
"Yao",
""
]
] | Efficient and effective Out-of-Distribution (OOD) detection is essential for the safe deployment of AI systems. Existing feature space methods, while effective, often incur significant computational overhead due to their reliance on auxiliary models built from training features. In this paper, we propose a computationa... |
2210.04441 | Suayb Arslan | Osman B. Guney and Suayb S. Arslan | Fault-Tolerant Strassen-Like Matrix Multiplication | 6 pages, 2 figures | null | 10.1109/SIU49456.2020.9302383 | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this study, we propose a simple method for fault-tolerant Strassen-like
matrix multiplications. The proposed method is based on using two distinct
Strassen-like algorithms instead of replicating a given one. We have realized
that using two different algorithms, new check relations arise resulting in
more local com... | [
{
"created": "Mon, 10 Oct 2022 05:18:22 GMT",
"version": "v1"
}
] | 2022-10-11 | [
[
"Guney",
"Osman B.",
""
],
[
"Arslan",
"Suayb S.",
""
]
] | In this study, we propose a simple method for fault-tolerant Strassen-like matrix multiplications. The proposed method is based on using two distinct Strassen-like algorithms instead of replicating a given one. We have realized that using two different algorithms, new check relations arise resulting in more local compu... |
0710.4828 | Hossein Hajiabolhassan | Hossein Hajiabolhassan and Abbas Cheraghi | Bounds for Visual Cryptography Schemes | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we investigate the best pixel expansion of the various models
of visual cryptography schemes. In this regard, we consider visual cryptography
schemes introduced by Tzeng and Hu [13]. In such a model, only minimal
qualified sets can recover the secret image and that the recovered secret image
can be dar... | [
{
"created": "Thu, 25 Oct 2007 12:17:15 GMT",
"version": "v1"
},
{
"created": "Mon, 20 Oct 2008 01:49:21 GMT",
"version": "v2"
},
{
"created": "Sat, 6 Jun 2009 07:08:14 GMT",
"version": "v3"
},
{
"created": "Mon, 7 Sep 2009 03:55:32 GMT",
"version": "v4"
},
{
"cre... | 2009-12-03 | [
[
"Hajiabolhassan",
"Hossein",
""
],
[
"Cheraghi",
"Abbas",
""
]
] | In this paper, we investigate the best pixel expansion of the various models of visual cryptography schemes. In this regard, we consider visual cryptography schemes introduced by Tzeng and Hu [13]. In such a model, only minimal qualified sets can recover the secret image and that the recovered secret image can be darke... |
1210.5454 | Mina Guirguis | Mina Guirguis and George Atia | Stuck in Traffic (SiT) Attacks: A Framework for Identifying Stealthy
Attacks that Cause Traffic Congestion | null | null | null | null | cs.NI cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advances in wireless technologies have enabled many new applications
in Intelligent Transportation Systems (ITS) such as collision avoidance,
cooperative driving, congestion avoidance, and traffic optimization. Due to the
vulnerable nature of wireless communication against interference and
intentional jamming,... | [
{
"created": "Fri, 19 Oct 2012 15:48:54 GMT",
"version": "v1"
}
] | 2012-10-22 | [
[
"Guirguis",
"Mina",
""
],
[
"Atia",
"George",
""
]
] | Recent advances in wireless technologies have enabled many new applications in Intelligent Transportation Systems (ITS) such as collision avoidance, cooperative driving, congestion avoidance, and traffic optimization. Due to the vulnerable nature of wireless communication against interference and intentional jamming, I... |
2205.07149 | Zishen Wan | Zishen Wan, Ashwin Lele, Bo Yu, Shaoshan Liu, Yu Wang, Vijay Janapa
Reddi, Cong Hao, and Arijit Raychowdhury | Robotic Computing on FPGAs: Current Progress, Research Challenges, and
Opportunities | 2022 IEEE International Conference on Artificial Intelligence
Circuits and Systems (AICAS), June 13-15, 2022, Incheon, Korea | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Robotic computing has reached a tipping point, with a myriad of robots (e.g.,
drones, self-driving cars, logistic robots) being widely applied in diverse
scenarios. The continuous proliferation of robotics, however, critically
depends on efficient computing substrates, driven by real-time requirements,
robotic size-w... | [
{
"created": "Sat, 14 May 2022 23:19:33 GMT",
"version": "v1"
}
] | 2022-05-17 | [
[
"Wan",
"Zishen",
""
],
[
"Lele",
"Ashwin",
""
],
[
"Yu",
"Bo",
""
],
[
"Liu",
"Shaoshan",
""
],
[
"Wang",
"Yu",
""
],
[
"Reddi",
"Vijay Janapa",
""
],
[
"Hao",
"Cong",
""
],
[
"Raychowdhury",
"A... | Robotic computing has reached a tipping point, with a myriad of robots (e.g., drones, self-driving cars, logistic robots) being widely applied in diverse scenarios. The continuous proliferation of robotics, however, critically depends on efficient computing substrates, driven by real-time requirements, robotic size-wei... |
1802.08562 | Artsiom Sanakoyeu | Artsiom Sanakoyeu, Miguel A. Bautista, Bj\"orn Ommer | Deep Unsupervised Learning of Visual Similarities | arXiv admin note: text overlap with arXiv:1608.08792 | Pattern Recognition Volume 78, June 2018, Pages 331-343 | 10.1016/j.patcog.2018.01.036 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Exemplar learning of visual similarities in an unsupervised manner is a
problem of paramount importance to Computer Vision. In this context, however,
the recent breakthrough in deep learning could not yet unfold its full
potential. With only a single positive sample, a great imbalance between one
positive and many ne... | [
{
"created": "Thu, 22 Feb 2018 04:11:59 GMT",
"version": "v1"
}
] | 2018-02-26 | [
[
"Sanakoyeu",
"Artsiom",
""
],
[
"Bautista",
"Miguel A.",
""
],
[
"Ommer",
"Björn",
""
]
] | Exemplar learning of visual similarities in an unsupervised manner is a problem of paramount importance to Computer Vision. In this context, however, the recent breakthrough in deep learning could not yet unfold its full potential. With only a single positive sample, a great imbalance between one positive and many nega... |
2105.12309 | Ayush Rajput | Sharan Balasubramanian, Ayush Rajput, Rodra W. Hascaryo, Chirag
Rastogi, William R. Norris | Comparison of Dynamic and Kinematic Model Driven Extended Kalman Filters
(EKF) for the Localization of Autonomous Underwater Vehicles | Preprint for ASME Journal for Mechanisms and Robotics, not peer
reviewed yet | null | null | null | cs.RO cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | Autonomous Underwater Vehicles (AUVs) and Remotely Operated Vehicles (ROVs)
are used for a wide variety of missions related to exploration and scientific
research. Successful navigation by these systems requires a good localization
system. Kalman filter based localization techniques have been prevalent since
the earl... | [
{
"created": "Wed, 26 May 2021 03:05:03 GMT",
"version": "v1"
}
] | 2021-05-27 | [
[
"Balasubramanian",
"Sharan",
""
],
[
"Rajput",
"Ayush",
""
],
[
"Hascaryo",
"Rodra W.",
""
],
[
"Rastogi",
"Chirag",
""
],
[
"Norris",
"William R.",
""
]
] | Autonomous Underwater Vehicles (AUVs) and Remotely Operated Vehicles (ROVs) are used for a wide variety of missions related to exploration and scientific research. Successful navigation by these systems requires a good localization system. Kalman filter based localization techniques have been prevalent since the early ... |
2304.01171 | Qinglin Liu | Qinglin Liu, Xiaoqian Lv, Quanling Meng, Zonglin Li, Xiangyuan Lan,
Shuo Yang, Shengping Zhang, Liqiang Nie | Revisiting Context Aggregation for Image Matting | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Traditional studies emphasize the significance of context information in
improving matting performance. Consequently, deep learning-based matting
methods delve into designing pooling or affinity-based context aggregation
modules to achieve superior results. However, these modules cannot well handle
the context scale ... | [
{
"created": "Mon, 3 Apr 2023 17:40:30 GMT",
"version": "v1"
},
{
"created": "Wed, 15 May 2024 02:24:58 GMT",
"version": "v2"
}
] | 2024-05-16 | [
[
"Liu",
"Qinglin",
""
],
[
"Lv",
"Xiaoqian",
""
],
[
"Meng",
"Quanling",
""
],
[
"Li",
"Zonglin",
""
],
[
"Lan",
"Xiangyuan",
""
],
[
"Yang",
"Shuo",
""
],
[
"Zhang",
"Shengping",
""
],
[
"Nie",
... | Traditional studies emphasize the significance of context information in improving matting performance. Consequently, deep learning-based matting methods delve into designing pooling or affinity-based context aggregation modules to achieve superior results. However, these modules cannot well handle the context scale sh... |
1508.00040 | Heba Aly | Heba Aly, Moustafa Youssef | An Analysis of Device-Free and Device-Based WiFi-Localization Systems | Published in International Journal of Ambient Computing and
Intelligence (IJACI) - Volume 6 Issue 1, January 2014 | null | 10.4018/ijaci.2014010101 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | WiFi-based localization became one of the main indoor localization techniques
due to the ubiquity of WiFi connectivity. However, indoor environments exhibit
complex wireless propagation characteristics. Typically, these characteristics
are captured by constructing a fingerprint map for the different locations in
the ... | [
{
"created": "Fri, 31 Jul 2015 21:42:02 GMT",
"version": "v1"
}
] | 2015-08-04 | [
[
"Aly",
"Heba",
""
],
[
"Youssef",
"Moustafa",
""
]
] | WiFi-based localization became one of the main indoor localization techniques due to the ubiquity of WiFi connectivity. However, indoor environments exhibit complex wireless propagation characteristics. Typically, these characteristics are captured by constructing a fingerprint map for the different locations in the ar... |
2306.04459 | Zhen Zhang | Mengting Hu, Zhen Zhang, Shiwan Zhao, Minlie Huang and Bingzhe Wu | Uncertainty in Natural Language Processing: Sources, Quantification, and
Applications | This work has been submitted to the IEEE for possible publication | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | As a main field of artificial intelligence, natural language processing (NLP)
has achieved remarkable success via deep neural networks. Plenty of NLP tasks
have been addressed in a unified manner, with various tasks being associated
with each other through sharing the same paradigm. However, neural networks are
black... | [
{
"created": "Mon, 5 Jun 2023 06:46:53 GMT",
"version": "v1"
}
] | 2023-06-08 | [
[
"Hu",
"Mengting",
""
],
[
"Zhang",
"Zhen",
""
],
[
"Zhao",
"Shiwan",
""
],
[
"Huang",
"Minlie",
""
],
[
"Wu",
"Bingzhe",
""
]
] | As a main field of artificial intelligence, natural language processing (NLP) has achieved remarkable success via deep neural networks. Plenty of NLP tasks have been addressed in a unified manner, with various tasks being associated with each other through sharing the same paradigm. However, neural networks are black b... |
1910.10073 | Maha Elbayad | Maha Elbayad and Jiatao Gu and Edouard Grave and Michael Auli | Depth-Adaptive Transformer | Published as a conference paper at ICLR 2020 | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | State of the art sequence-to-sequence models for large scale tasks perform a
fixed number of computations for each input sequence regardless of whether it
is easy or hard to process. In this paper, we train Transformer models which
can make output predictions at different stages of the network and we
investigate diff... | [
{
"created": "Tue, 22 Oct 2019 16:15:58 GMT",
"version": "v1"
},
{
"created": "Mon, 16 Dec 2019 18:32:39 GMT",
"version": "v2"
},
{
"created": "Thu, 19 Dec 2019 17:26:49 GMT",
"version": "v3"
},
{
"created": "Fri, 14 Feb 2020 20:49:40 GMT",
"version": "v4"
}
] | 2020-02-18 | [
[
"Elbayad",
"Maha",
""
],
[
"Gu",
"Jiatao",
""
],
[
"Grave",
"Edouard",
""
],
[
"Auli",
"Michael",
""
]
] | State of the art sequence-to-sequence models for large scale tasks perform a fixed number of computations for each input sequence regardless of whether it is easy or hard to process. In this paper, we train Transformer models which can make output predictions at different stages of the network and we investigate differ... |
2302.12392 | Mehala Balamurali | Mehala.Balamurali, Konstantin M. Seiler | Better Predict the Dynamic of Geometry of In-Pit Stockpiles Using
Geospatial Data and Polygon Models | null | Proceedings of the 40th International Symposium on the Application
of Computers and Operations Research in the Minerals Industries (APCOM,
2021), 257-267. Johannesburg: The Southern African Institute of Mining and
Metallurgy, 2021 | null | null | cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Modelling stockpile is a key factor of a project economic and operation in
mining, because not all the mined ores are not able to mill for many reasons.
Further, the financial value of the ore in the stockpile needs to be reflected
on the balance sheet. Therefore, automatically tracking the frontiers of the
stockpile... | [
{
"created": "Fri, 24 Feb 2023 01:46:13 GMT",
"version": "v1"
}
] | 2023-02-27 | [
[
"Balamurali",
"Mehala.",
""
],
[
"Seiler",
"Konstantin M.",
""
]
] | Modelling stockpile is a key factor of a project economic and operation in mining, because not all the mined ores are not able to mill for many reasons. Further, the financial value of the ore in the stockpile needs to be reflected on the balance sheet. Therefore, automatically tracking the frontiers of the stockpile f... |
2011.09140 | Tomohide Shibata | Shogo Fujita and Tomohide Shibata and Manabu Okumura | Diverse and Non-redundant Answer Set Extraction on Community QA based on
DPPs | COLING2020, 12 pages | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In community-based question answering (CQA) platforms, it takes time for a
user to get useful information from among many answers. Although one solution
is an answer ranking method, the user still needs to read through the
top-ranked answers carefully. This paper proposes a new task of selecting a
diverse and non-red... | [
{
"created": "Wed, 18 Nov 2020 07:33:03 GMT",
"version": "v1"
}
] | 2020-11-19 | [
[
"Fujita",
"Shogo",
""
],
[
"Shibata",
"Tomohide",
""
],
[
"Okumura",
"Manabu",
""
]
] | In community-based question answering (CQA) platforms, it takes time for a user to get useful information from among many answers. Although one solution is an answer ranking method, the user still needs to read through the top-ranked answers carefully. This paper proposes a new task of selecting a diverse and non-redun... |
2403.15402 | Sourojit Ghosh | Sourojit Ghosh, Sarah Coppola | This Class Isn't Designed For Me: Recognizing Ableist Trends In Design
Education, And Redesigning For An Inclusive And Sustainable Future | Upcoming Publication, Design Research Society 2024 | null | 10.21606/drs.2024.1070. | null | cs.CY | http://creativecommons.org/licenses/by/4.0/ | Traditional and currently-prevalent pedagogies of design perpetuate ableist
and exclusionary notions of what it means to be a designer. In this paper, we
trace such historically exclusionary norms of design education, and highlight
modern-day instances from our own experiences as design educators in such
epistemologi... | [
{
"created": "Mon, 19 Feb 2024 20:14:34 GMT",
"version": "v1"
}
] | 2024-08-06 | [
[
"Ghosh",
"Sourojit",
""
],
[
"Coppola",
"Sarah",
""
]
] | Traditional and currently-prevalent pedagogies of design perpetuate ableist and exclusionary notions of what it means to be a designer. In this paper, we trace such historically exclusionary norms of design education, and highlight modern-day instances from our own experiences as design educators in such epistemologies... |
2111.05953 | Giuseppina Carannante | Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya,
and Lyudmila Mihaylova | Robust Learning via Ensemble Density Propagation in Deep Neural Networks | submitted to 2020 IEEE International Workshop on Machine Learning for
Signal Processing | null | null | null | cs.LG cs.AI cs.CV math.PR | http://creativecommons.org/licenses/by/4.0/ | Learning in uncertain, noisy, or adversarial environments is a challenging
task for deep neural networks (DNNs). We propose a new theoretically grounded
and efficient approach for robust learning that builds upon Bayesian estimation
and Variational Inference. We formulate the problem of density propagation
through la... | [
{
"created": "Wed, 10 Nov 2021 21:26:08 GMT",
"version": "v1"
}
] | 2021-11-12 | [
[
"Carannante",
"Giuseppina",
""
],
[
"Dera",
"Dimah",
""
],
[
"Rasool",
"Ghulam",
""
],
[
"Bouaynaya",
"Nidhal C.",
""
],
[
"Mihaylova",
"Lyudmila",
""
]
] | Learning in uncertain, noisy, or adversarial environments is a challenging task for deep neural networks (DNNs). We propose a new theoretically grounded and efficient approach for robust learning that builds upon Bayesian estimation and Variational Inference. We formulate the problem of density propagation through laye... |
1109.0775 | EPTCS | Azer Bestavros (Boston University), Assaf Kfoury (Boston University) | A Domain-Specific Language for Incremental and Modular Design of
Large-Scale Verifiably-Safe Flow Networks (Preliminary Report) | In Proceedings DSL 2011, arXiv:1109.0323 | EPTCS 66, 2011, pp. 24-47 | 10.4204/EPTCS.66.2 | null | cs.PL cs.DC cs.LO cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We define a domain-specific language (DSL) to inductively assemble flow
networks from small networks or modules to produce arbitrarily large ones, with
interchangeable functionally-equivalent parts. Our small networks or modules
are "small" only as the building blocks in this inductive definition (there is
no limit o... | [
{
"created": "Mon, 5 Sep 2011 01:56:15 GMT",
"version": "v1"
}
] | 2011-09-06 | [
[
"Bestavros",
"Azer",
"",
"Boston University"
],
[
"Kfoury",
"Assaf",
"",
"Boston University"
]
] | We define a domain-specific language (DSL) to inductively assemble flow networks from small networks or modules to produce arbitrarily large ones, with interchangeable functionally-equivalent parts. Our small networks or modules are "small" only as the building blocks in this inductive definition (there is no limit on ... |
1910.08810 | Benjamin Ramtoula | Benjamin Ramtoula, Ricardo de Azambuja, Giovanni Beltrame | CAPRICORN: Communication Aware Place Recognition using Interpretable
Constellations of Objects in Robot Networks | 8 pages, 6 figures, 1 table. 2020 IEEE International Conference on
Robotics and Automation (ICRA) | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Using multiple robots for exploring and mapping environments can provide
improved robustness and performance, but it can be difficult to implement. In
particular, limited communication bandwidth is a considerable constraint when a
robot needs to determine if it has visited a location that was previously
explored by a... | [
{
"created": "Sat, 19 Oct 2019 17:52:04 GMT",
"version": "v1"
},
{
"created": "Thu, 26 Mar 2020 00:32:21 GMT",
"version": "v2"
}
] | 2020-03-27 | [
[
"Ramtoula",
"Benjamin",
""
],
[
"de Azambuja",
"Ricardo",
""
],
[
"Beltrame",
"Giovanni",
""
]
] | Using multiple robots for exploring and mapping environments can provide improved robustness and performance, but it can be difficult to implement. In particular, limited communication bandwidth is a considerable constraint when a robot needs to determine if it has visited a location that was previously explored by ano... |
0711.4792 | Sriram Sridharan | Sriram Sridharan and Sriram Vishwanath | On the Capacity of a Class of MIMO Cognitive Radios | 13 pages, 8 figures, Accepted for publication in Journal of Selected
Topics in Signal Processing (JSTSP) - Special Issue on Dynamic Spectrum
Access | null | 10.1109/JSTSP.2007.914890 | null | cs.IT math.IT | null | Cognitive radios have been studied recently as a means to utilize spectrum in
a more efficient manner. This paper focuses on the fundamental limits of
operation of a MIMO cognitive radio network with a single licensed user and a
single cognitive user. The channel setting is equivalent to an interference
channel with ... | [
{
"created": "Thu, 29 Nov 2007 18:28:00 GMT",
"version": "v1"
},
{
"created": "Tue, 11 Dec 2007 20:54:34 GMT",
"version": "v2"
}
] | 2009-11-13 | [
[
"Sridharan",
"Sriram",
""
],
[
"Vishwanath",
"Sriram",
""
]
] | Cognitive radios have been studied recently as a means to utilize spectrum in a more efficient manner. This paper focuses on the fundamental limits of operation of a MIMO cognitive radio network with a single licensed user and a single cognitive user. The channel setting is equivalent to an interference channel with de... |
1909.02423 | Vincent Labatut | Xavier Bost (LIA), Serigne Gueye (LIA), Vincent Labatut (LIA), Martha
Larson (DMIR), Georges Linar\`es (LIA), Damien Malinas (CNELIAS), Rapha\"el
Roth (CNELIAS) | Remembering Winter Was Coming: Character-Oriented Video Summaries of TV
Series | null | Multimedia Tools and Applications, Springer, 2019,
78(24):35373-35399 | 10.1007/s11042-019-07969-4 | null | cs.MM cs.IR cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Today's popular TV series tend to develop continuous, complex plots spanning
several seasons, but are often viewed in controlled and discontinuous
conditions. Consequently, most viewers need to be re-immersed in the story
before watching a new season. Although discussions with friends and family can
help, we observe ... | [
{
"created": "Thu, 5 Sep 2019 14:00:45 GMT",
"version": "v1"
},
{
"created": "Wed, 11 Dec 2019 15:24:57 GMT",
"version": "v2"
},
{
"created": "Wed, 18 Mar 2020 07:10:52 GMT",
"version": "v3"
}
] | 2020-03-19 | [
[
"Bost",
"Xavier",
"",
"LIA"
],
[
"Gueye",
"Serigne",
"",
"LIA"
],
[
"Labatut",
"Vincent",
"",
"LIA"
],
[
"Larson",
"Martha",
"",
"DMIR"
],
[
"Linarès",
"Georges",
"",
"LIA"
],
[
"Malinas",
"Damien",
"",... | Today's popular TV series tend to develop continuous, complex plots spanning several seasons, but are often viewed in controlled and discontinuous conditions. Consequently, most viewers need to be re-immersed in the story before watching a new season. Although discussions with friends and family can help, we observe th... |
1806.09279 | Amritpal Kaur | Amritpal Kaur and Harkiran Kaur | Framework for Opinion Mining Approach to Augment Education System
Performance | 5 pages, 2 figures | http://ijitce.co.uk/vol8n6.aspx June 2018 Issue Vol.8 No.6 | null | null | cs.IR cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The extensive expansion growth of social networking sites allows the people
to share their views and experiences freely with their peers on internet. Due
to this, huge amount of data is generated on everyday basis which can be used
for the opinion mining to extract the views of people in a particular field.
Opinion m... | [
{
"created": "Mon, 25 Jun 2018 04:17:44 GMT",
"version": "v1"
}
] | 2018-06-26 | [
[
"Kaur",
"Amritpal",
""
],
[
"Kaur",
"Harkiran",
""
]
] | The extensive expansion growth of social networking sites allows the people to share their views and experiences freely with their peers on internet. Due to this, huge amount of data is generated on everyday basis which can be used for the opinion mining to extract the views of people in a particular field. Opinion min... |
2402.00958 | Ignacio F\'abregas | Ignacio F\'abregas and Miguel Palomino and David de Frutos-Escrig | Reflection and Preservation of Properties in Coalgebraic (bi)Simulations | null | Theoretical Aspects of Computing (ICTAC) 2007. Lecture Notes in
Computer Science volume 4711 | 10.1007/978-3-540-75292-9\_16 | null | cs.LO | http://creativecommons.org/licenses/by/4.0/ | Our objective is to extend the standard results of preservation and
reflection of properties by bisimulations to the coalgebraic setting, as well
as to study under what conditions these results hold for simulations. The
notion of bisimulation is the classical one, while for simulations we use that
proposed by Hughes ... | [
{
"created": "Thu, 1 Feb 2024 19:26:17 GMT",
"version": "v1"
}
] | 2024-02-05 | [
[
"Fábregas",
"Ignacio",
""
],
[
"Palomino",
"Miguel",
""
],
[
"de Frutos-Escrig",
"David",
""
]
] | Our objective is to extend the standard results of preservation and reflection of properties by bisimulations to the coalgebraic setting, as well as to study under what conditions these results hold for simulations. The notion of bisimulation is the classical one, while for simulations we use that proposed by Hughes an... |
1909.07140 | Thomas Parnell | Dimitrios Sarigiannis, Thomas Parnell, Haris Pozidis | Weighted Sampling for Combined Model Selection and Hyperparameter Tuning | Accepted for presentation at The Thirty-Fourth AAAI Conference on
Artificial Intelligence (AAAI 2020) | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The combined algorithm selection and hyperparameter tuning (CASH) problem is
characterized by large hierarchical hyperparameter spaces. Model-free
hyperparameter tuning methods can explore such large spaces efficiently since
they are highly parallelizable across multiple machines. When no prior
knowledge or meta-data... | [
{
"created": "Mon, 16 Sep 2019 12:01:12 GMT",
"version": "v1"
},
{
"created": "Tue, 17 Sep 2019 07:57:49 GMT",
"version": "v2"
},
{
"created": "Thu, 21 Nov 2019 12:19:57 GMT",
"version": "v3"
}
] | 2019-11-22 | [
[
"Sarigiannis",
"Dimitrios",
""
],
[
"Parnell",
"Thomas",
""
],
[
"Pozidis",
"Haris",
""
]
] | The combined algorithm selection and hyperparameter tuning (CASH) problem is characterized by large hierarchical hyperparameter spaces. Model-free hyperparameter tuning methods can explore such large spaces efficiently since they are highly parallelizable across multiple machines. When no prior knowledge or meta-data e... |
2004.14164 | Xiaoqing Geng | Xiaoqing Geng, Xiwen Chen, Kenny Q. Zhu, Libin Shen, Yinggong Zhao | MICK: A Meta-Learning Framework for Few-shot Relation Classification
with Small Training Data | null | CIKM 2020: The 29th ACM International Conference on Information
and Knowledge Management | 10.1145/3340531.3411858 | null | cs.CL cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Few-shot relation classification seeks to classify incoming query instances
after meeting only few support instances. This ability is gained by training
with large amount of in-domain annotated data. In this paper, we tackle an even
harder problem by further limiting the amount of data available at training
time. We ... | [
{
"created": "Sun, 26 Apr 2020 06:23:38 GMT",
"version": "v1"
},
{
"created": "Mon, 14 Dec 2020 15:54:51 GMT",
"version": "v2"
}
] | 2020-12-15 | [
[
"Geng",
"Xiaoqing",
""
],
[
"Chen",
"Xiwen",
""
],
[
"Zhu",
"Kenny Q.",
""
],
[
"Shen",
"Libin",
""
],
[
"Zhao",
"Yinggong",
""
]
] | Few-shot relation classification seeks to classify incoming query instances after meeting only few support instances. This ability is gained by training with large amount of in-domain annotated data. In this paper, we tackle an even harder problem by further limiting the amount of data available at training time. We pr... |
2303.13355 | Son Tran | Son Quoc Tran, Phong Nguyen-Thuan Do, Kiet Van Nguyen, Ngan Luu-Thuy
Nguyen | Revealing Weaknesses of Vietnamese Language Models Through Unanswerable
Questions in Machine Reading Comprehension | Accepted at The 2023 EACL Student Research Workshop | null | null | null | cs.CL cs.AI | http://creativecommons.org/publicdomain/zero/1.0/ | Although the curse of multilinguality significantly restricts the language
abilities of multilingual models in monolingual settings, researchers now still
have to rely on multilingual models to develop state-of-the-art systems in
Vietnamese Machine Reading Comprehension. This difficulty in researching is
because of t... | [
{
"created": "Thu, 16 Mar 2023 20:32:58 GMT",
"version": "v1"
}
] | 2023-03-24 | [
[
"Tran",
"Son Quoc",
""
],
[
"Do",
"Phong Nguyen-Thuan",
""
],
[
"Van Nguyen",
"Kiet",
""
],
[
"Nguyen",
"Ngan Luu-Thuy",
""
]
] | Although the curse of multilinguality significantly restricts the language abilities of multilingual models in monolingual settings, researchers now still have to rely on multilingual models to develop state-of-the-art systems in Vietnamese Machine Reading Comprehension. This difficulty in researching is because of the... |
1905.12688 | Graham Neubig | Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang,
Mengzhou Xia, Shruti Rijhwani, Junxian He, Zhisong Zhang, Xuezhe Ma, Antonios
Anastasopoulos, Patrick Littell, Graham Neubig | Choosing Transfer Languages for Cross-Lingual Learning | Proceedings of ACL 2019 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cross-lingual transfer, where a high-resource transfer language is used to
improve the accuracy of a low-resource task language, is now an invaluable tool
for improving performance of natural language processing (NLP) on low-resource
languages. However, given a particular task language, it is not clear which
language... | [
{
"created": "Wed, 29 May 2019 19:19:47 GMT",
"version": "v1"
},
{
"created": "Fri, 7 Jun 2019 03:37:25 GMT",
"version": "v2"
}
] | 2019-06-10 | [
[
"Lin",
"Yu-Hsiang",
""
],
[
"Chen",
"Chian-Yu",
""
],
[
"Lee",
"Jean",
""
],
[
"Li",
"Zirui",
""
],
[
"Zhang",
"Yuyan",
""
],
[
"Xia",
"Mengzhou",
""
],
[
"Rijhwani",
"Shruti",
""
],
[
"He",
"Ju... | Cross-lingual transfer, where a high-resource transfer language is used to improve the accuracy of a low-resource task language, is now an invaluable tool for improving performance of natural language processing (NLP) on low-resource languages. However, given a particular task language, it is not clear which language t... |
1403.6167 | Utkarsh R. Patel | Utkarsh R. Patel and Piero Triverio | MoM-SO: a Complete Method for Computing the Impedance of Cable Systems
Including Skin, Proximity, and Ground Return Effects | This paper has now been published in the IEEE Trans. on Power
Delivery in Oct. 2015, vol. 30, no. 5, pp. 2110-2118. DOI:
10.1109/TPWRD.2014.2378594 | IEEE Trans. on Power Delivery in Oct. 2015, vol. 30, no. 5, pp.
2110-2118 | 10.1109/TPWRD.2014.2378594 | null | cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The availability of accurate and broadband models for underground and
submarine cable systems is of paramount importance for the correct prediction
of electromagnetic transients in power grids. Recently, we proposed the MoM-SO
method for extracting the series impedance of power cables while accounting for
skin and pr... | [
{
"created": "Mon, 24 Mar 2014 22:03:07 GMT",
"version": "v1"
},
{
"created": "Tue, 29 Apr 2014 18:26:42 GMT",
"version": "v2"
},
{
"created": "Mon, 28 Sep 2015 15:51:35 GMT",
"version": "v3"
}
] | 2016-06-29 | [
[
"Patel",
"Utkarsh R.",
""
],
[
"Triverio",
"Piero",
""
]
] | The availability of accurate and broadband models for underground and submarine cable systems is of paramount importance for the correct prediction of electromagnetic transients in power grids. Recently, we proposed the MoM-SO method for extracting the series impedance of power cables while accounting for skin and prox... |
2002.01913 | Augusto Luis Ballardini PhD | Augusto Luis Ballardini, Daniele Cattaneo, Rub\'en Izquierdo, Ignacio
Parra Alonso, Andrea Piazzoni, Miguel \'Angel Sotelo, Domenico Giorgio
Sorrenti | Vehicle Ego-Lane Estimation with Sensor Failure Modeling | preprint | null | null | null | cs.RO cs.CV cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We present a probabilistic ego-lane estimation algorithm for highway-like
scenarios that is designed to increase the accuracy of the ego-lane estimate,
which can be obtained relying only on a noisy line detector and tracker. The
contribution relies on a Hidden Markov Model (HMM) with a transient failure
model. The pr... | [
{
"created": "Wed, 5 Feb 2020 18:32:00 GMT",
"version": "v1"
},
{
"created": "Thu, 6 Feb 2020 15:06:49 GMT",
"version": "v2"
}
] | 2020-02-07 | [
[
"Ballardini",
"Augusto Luis",
""
],
[
"Cattaneo",
"Daniele",
""
],
[
"Izquierdo",
"Rubén",
""
],
[
"Alonso",
"Ignacio Parra",
""
],
[
"Piazzoni",
"Andrea",
""
],
[
"Sotelo",
"Miguel Ángel",
""
],
[
"Sorrenti",
... | We present a probabilistic ego-lane estimation algorithm for highway-like scenarios that is designed to increase the accuracy of the ego-lane estimate, which can be obtained relying only on a noisy line detector and tracker. The contribution relies on a Hidden Markov Model (HMM) with a transient failure model. The prop... |
2403.05221 | Wolfgang H\"ohl | Wolfgang H\"ohl | Understanding Hybrid Spaces: Designing a Spacetime Model to Represent
Dynamic Topologies of Hybrid Spaces | 82 pages, 22 figures, 19 tables | null | null | null | cs.CY | http://creativecommons.org/licenses/by-nc-nd/4.0/ | This paper develops a spatiotemporal model for the visualization of dynamic
topologies of hybrid spaces. The visualization of spatiotemporal data is a
well-known problem, for example in digital twins in urban planning. There is
also a lack of a basic ontology for understanding hybrid spaces. The developed
spatiotempo... | [
{
"created": "Fri, 8 Mar 2024 11:18:27 GMT",
"version": "v1"
}
] | 2024-03-11 | [
[
"Höhl",
"Wolfgang",
""
]
] | This paper develops a spatiotemporal model for the visualization of dynamic topologies of hybrid spaces. The visualization of spatiotemporal data is a well-known problem, for example in digital twins in urban planning. There is also a lack of a basic ontology for understanding hybrid spaces. The developed spatiotempora... |
1903.12266 | Maciej Zamorski | Maciej Zamorski, Adrian Zdobylak, Maciej Zi\k{e}ba, Jerzy
\'Swi\k{a}tek | Generative Adversarial Networks: recent developments | 10 pages | null | null | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In traditional generative modeling, good data representation is very often a
base for a good machine learning model. It can be linked to good
representations encoding more explanatory factors that are hidden in the
original data. With the invention of Generative Adversarial Networks (GANs), a
subclass of generative m... | [
{
"created": "Sat, 16 Mar 2019 18:10:35 GMT",
"version": "v1"
}
] | 2019-04-01 | [
[
"Zamorski",
"Maciej",
""
],
[
"Zdobylak",
"Adrian",
""
],
[
"Zięba",
"Maciej",
""
],
[
"Świątek",
"Jerzy",
""
]
] | In traditional generative modeling, good data representation is very often a base for a good machine learning model. It can be linked to good representations encoding more explanatory factors that are hidden in the original data. With the invention of Generative Adversarial Networks (GANs), a subclass of generative mod... |
2207.02295 | Benjamin Fuhrer | Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal
Chechik, Eitan Zahavi, Gal Dalal | Implementing Reinforcement Learning Datacenter Congestion Control in
NVIDIA NICs | null | null | 10.1109/CCGrid57682.2023.00039 | null | cs.NI cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As communication protocols evolve, datacenter network utilization increases.
As a result, congestion is more frequent, causing higher latency and packet
loss. Combined with the increasing complexity of workloads, manual design of
congestion control (CC) algorithms becomes extremely difficult. This calls for
the devel... | [
{
"created": "Tue, 5 Jul 2022 20:42:24 GMT",
"version": "v1"
},
{
"created": "Thu, 1 Dec 2022 20:56:23 GMT",
"version": "v2"
},
{
"created": "Tue, 3 Jan 2023 16:00:27 GMT",
"version": "v3"
},
{
"created": "Sun, 30 Apr 2023 13:12:49 GMT",
"version": "v4"
},
{
"crea... | 2024-06-04 | [
[
"Fuhrer",
"Benjamin",
""
],
[
"Shpigelman",
"Yuval",
""
],
[
"Tessler",
"Chen",
""
],
[
"Mannor",
"Shie",
""
],
[
"Chechik",
"Gal",
""
],
[
"Zahavi",
"Eitan",
""
],
[
"Dalal",
"Gal",
""
]
] | As communication protocols evolve, datacenter network utilization increases. As a result, congestion is more frequent, causing higher latency and packet loss. Combined with the increasing complexity of workloads, manual design of congestion control (CC) algorithms becomes extremely difficult. This calls for the develop... |
2404.08887 | Jinhao Pan | Jinhao Pan, Ziwei Zhu, Jianling Wang, Allen Lin, James Caverlee | Countering Mainstream Bias via End-to-End Adaptive Local Learning | ECIR 2024 | In European Conference on Information Retrieval 2024, vol 14612
(pp. 75-89) | 10.1007/978-3-031-56069-9_6 | null | cs.IR cs.LG | http://creativecommons.org/licenses/by/4.0/ | Collaborative filtering (CF) based recommendations suffer from mainstream
bias -- where mainstream users are favored over niche users, leading to poor
recommendation quality for many long-tail users. In this paper, we identify two
root causes of this mainstream bias: (i) discrepancy modeling, whereby CF
algorithms fo... | [
{
"created": "Sat, 13 Apr 2024 03:17:33 GMT",
"version": "v1"
}
] | 2024-04-16 | [
[
"Pan",
"Jinhao",
""
],
[
"Zhu",
"Ziwei",
""
],
[
"Wang",
"Jianling",
""
],
[
"Lin",
"Allen",
""
],
[
"Caverlee",
"James",
""
]
] | Collaborative filtering (CF) based recommendations suffer from mainstream bias -- where mainstream users are favored over niche users, leading to poor recommendation quality for many long-tail users. In this paper, we identify two root causes of this mainstream bias: (i) discrepancy modeling, whereby CF algorithms focu... |
2211.12173 | Poulami Sinhamahapatra | Poulami Sinhamahapatra, Lena Heidemann, Maureen Monnet, Karsten
Roscher | Towards Human-Interpretable Prototypes for Visual Assessment of Image
Classification Models | null | Proceedings of the 18th International Joint Conference on Computer
Vision, Imaging and Computer Graphics Theory and Applications - Volume 5:
VISAPP, 878-887, 2023 | 10.5220/0011894900003417 | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | Explaining black-box Artificial Intelligence (AI) models is a cornerstone for
trustworthy AI and a prerequisite for its use in safety critical applications
such that AI models can reliably assist humans in critical decisions. However,
instead of trying to explain our models post-hoc, we need models which are
interpre... | [
{
"created": "Tue, 22 Nov 2022 11:01:22 GMT",
"version": "v1"
}
] | 2023-03-10 | [
[
"Sinhamahapatra",
"Poulami",
""
],
[
"Heidemann",
"Lena",
""
],
[
"Monnet",
"Maureen",
""
],
[
"Roscher",
"Karsten",
""
]
] | Explaining black-box Artificial Intelligence (AI) models is a cornerstone for trustworthy AI and a prerequisite for its use in safety critical applications such that AI models can reliably assist humans in critical decisions. However, instead of trying to explain our models post-hoc, we need models which are interpreta... |
1202.1340 | Jie Xu Mr. | Yi Huang and Jie Xu and Ling Qiu | An Energy Efficient Semi-static Power Control and Link Adaptation Scheme
in UMTS HSDPA | 9 pages, 11 figures, accepted in EURASIP Journal on Wireless
Communications and Networking, special issue on Green Radio | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | High speed downlink packet access (HSDPA) has been successfully applied in
commercial systems and improves user experience significantly. However, it
incurs substantial energy consumption. In this paper, we address this issue by
proposing a novel energy efficient semi-static power control and link
adaptation scheme i... | [
{
"created": "Tue, 7 Feb 2012 03:31:30 GMT",
"version": "v1"
}
] | 2012-02-08 | [
[
"Huang",
"Yi",
""
],
[
"Xu",
"Jie",
""
],
[
"Qiu",
"Ling",
""
]
] | High speed downlink packet access (HSDPA) has been successfully applied in commercial systems and improves user experience significantly. However, it incurs substantial energy consumption. In this paper, we address this issue by proposing a novel energy efficient semi-static power control and link adaptation scheme in ... |
1808.06853 | Seid Muhie Yimam | Seid Muhie Yimam, Chris Biemann | Demonstrating PAR4SEM - A Semantic Writing Aid with Adaptive
Paraphrasing | EMNLP Demo paper | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | In this paper, we present Par4Sem, a semantic writing aid tool based on
adaptive paraphrasing. Unlike many annotation tools that are primarily used to
collect training examples, Par4Sem is integrated into a real word application,
in this case a writing aid tool, in order to collect training examples from
usage data. ... | [
{
"created": "Tue, 21 Aug 2018 11:37:57 GMT",
"version": "v1"
}
] | 2018-08-22 | [
[
"Yimam",
"Seid Muhie",
""
],
[
"Biemann",
"Chris",
""
]
] | In this paper, we present Par4Sem, a semantic writing aid tool based on adaptive paraphrasing. Unlike many annotation tools that are primarily used to collect training examples, Par4Sem is integrated into a real word application, in this case a writing aid tool, in order to collect training examples from usage data. Pa... |
2307.05126 | Cec\'ilia Coelho | C. Coelho, M. Fernanda P. Costa, L.L. Ferr\'as | Enhancing Continuous Time Series Modelling with a Latent ODE-LSTM
Approach | null | null | 10.1016/j.amc.2024.128727 | null | cs.LG math.OC | http://creativecommons.org/licenses/by-sa/4.0/ | Due to their dynamic properties such as irregular sampling rate and
high-frequency sampling, Continuous Time Series (CTS) are found in many
applications. Since CTS with irregular sampling rate are difficult to model
with standard Recurrent Neural Networks (RNNs), RNNs have been generalised to
have continuous-time hid... | [
{
"created": "Tue, 11 Jul 2023 09:01:49 GMT",
"version": "v1"
}
] | 2024-07-02 | [
[
"Coelho",
"C.",
""
],
[
"Costa",
"M. Fernanda P.",
""
],
[
"Ferrás",
"L. L.",
""
]
] | Due to their dynamic properties such as irregular sampling rate and high-frequency sampling, Continuous Time Series (CTS) are found in many applications. Since CTS with irregular sampling rate are difficult to model with standard Recurrent Neural Networks (RNNs), RNNs have been generalised to have continuous-time hidde... |
2407.13811 | Gertjan Burghouts | Anne Kemmeren, Gertjan Burghouts, Michael van Bekkum, Wouter Meijer,
Jelle van Mil | Which objects help me to act effectively? Reasoning about
physically-grounded affordances | 10 pages | Robotics: Science and Systems. Semantic Reasoning and Goal
Understanding in Robotics 2024 | null | null | cs.CV cs.RO | http://creativecommons.org/licenses/by/4.0/ | For effective interactions with the open world, robots should understand how
interactions with known and novel objects help them towards their goal. A key
aspect of this understanding lies in detecting an object's affordances, which
represent the potential effects that can be achieved by manipulating the object
in va... | [
{
"created": "Thu, 18 Jul 2024 11:08:57 GMT",
"version": "v1"
}
] | 2024-07-22 | [
[
"Kemmeren",
"Anne",
""
],
[
"Burghouts",
"Gertjan",
""
],
[
"van Bekkum",
"Michael",
""
],
[
"Meijer",
"Wouter",
""
],
[
"van Mil",
"Jelle",
""
]
] | For effective interactions with the open world, robots should understand how interactions with known and novel objects help them towards their goal. A key aspect of this understanding lies in detecting an object's affordances, which represent the potential effects that can be achieved by manipulating the object in vari... |
1804.08859 | Joshua Owoyemi | Joshua Owoyemi, Koichi Hashimoto | Spatiotemporal Learning of Dynamic Gestures from 3D Point Cloud Data | Accepted to ICRA2018, 6 Pages | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we demonstrate an end-to-end spatiotemporal gesture learning
approach for 3D point cloud data using a new gestures dataset of point clouds
acquired from a 3D sensor. Nine classes of gestures were learned from gestures
sample data. We mapped point cloud data into dense occupancy grids, then time
steps o... | [
{
"created": "Tue, 24 Apr 2018 06:48:56 GMT",
"version": "v1"
}
] | 2018-04-25 | [
[
"Owoyemi",
"Joshua",
""
],
[
"Hashimoto",
"Koichi",
""
]
] | In this paper, we demonstrate an end-to-end spatiotemporal gesture learning approach for 3D point cloud data using a new gestures dataset of point clouds acquired from a 3D sensor. Nine classes of gestures were learned from gestures sample data. We mapped point cloud data into dense occupancy grids, then time steps of ... |
1803.10561 | Matthias Walter | Dominik Ermel and Matthias Walter | Parity Polytopes and Binarization | 9 pages, 1 figure, presented at 15th Cologne-Twente Workshop on
Graphs and Combinatorial Optimization 2017 | null | null | null | cs.DM math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider generalizations of parity polytopes whose variables, in addition
to a parity constraint, satisfy certain ordering constraints. More precisely,
the variable domain is partitioned into $k$ contiguous groups, and within each
group, we require that $x_i \geq x_{i+1}$ for all relevant $i$. Such
constraints are... | [
{
"created": "Wed, 28 Mar 2018 12:37:47 GMT",
"version": "v1"
},
{
"created": "Wed, 18 Apr 2018 14:35:46 GMT",
"version": "v2"
}
] | 2018-04-19 | [
[
"Ermel",
"Dominik",
""
],
[
"Walter",
"Matthias",
""
]
] | We consider generalizations of parity polytopes whose variables, in addition to a parity constraint, satisfy certain ordering constraints. More precisely, the variable domain is partitioned into $k$ contiguous groups, and within each group, we require that $x_i \geq x_{i+1}$ for all relevant $i$. Such constraints are u... |
2206.07669 | Ting Chen | Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J. Fleet,
Geoffrey Hinton | A Unified Sequence Interface for Vision Tasks | The first three authors contributed equally | null | null | null | cs.CV cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While language tasks are naturally expressed in a single, unified, modeling
framework, i.e., generating sequences of tokens, this has not been the case in
computer vision. As a result, there is a proliferation of distinct
architectures and loss functions for different vision tasks. In this work we
show that a diverse... | [
{
"created": "Wed, 15 Jun 2022 17:08:53 GMT",
"version": "v1"
},
{
"created": "Sun, 16 Oct 2022 02:41:15 GMT",
"version": "v2"
}
] | 2022-10-18 | [
[
"Chen",
"Ting",
""
],
[
"Saxena",
"Saurabh",
""
],
[
"Li",
"Lala",
""
],
[
"Lin",
"Tsung-Yi",
""
],
[
"Fleet",
"David J.",
""
],
[
"Hinton",
"Geoffrey",
""
]
] | While language tasks are naturally expressed in a single, unified, modeling framework, i.e., generating sequences of tokens, this has not been the case in computer vision. As a result, there is a proliferation of distinct architectures and loss functions for different vision tasks. In this work we show that a diverse s... |
2009.06009 | Jan Novotny | Karel Ad\'amek, Jan Novotn\'y, Jeyarajan Thiyagalingam, Wesley Armour | Efficiency Near the Edge: Increasing the Energy Efficiency of FFTs on
GPUs for Real-time Edge Computing | published in IEEE Access | in IEEE Access, vol. 9, pp. 18167-18182, 2021 | 10.1109/ACCESS.2021.3053409 | null | cs.PF | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Square Kilometre Array (SKA) is an international initiative for
developing the world's largest radio telescope with a total collecting area of
over a million square meters. The scale of the operation, combined with the
remote location of the telescope, requires the use of energy-efficient
computational algorithms... | [
{
"created": "Sun, 13 Sep 2020 14:48:16 GMT",
"version": "v1"
},
{
"created": "Tue, 9 Nov 2021 21:13:56 GMT",
"version": "v2"
}
] | 2021-11-11 | [
[
"Adámek",
"Karel",
""
],
[
"Novotný",
"Jan",
""
],
[
"Thiyagalingam",
"Jeyarajan",
""
],
[
"Armour",
"Wesley",
""
]
] | The Square Kilometre Array (SKA) is an international initiative for developing the world's largest radio telescope with a total collecting area of over a million square meters. The scale of the operation, combined with the remote location of the telescope, requires the use of energy-efficient computational algorithms. ... |
1901.11173 | Anusha Lalitha | Anusha Lalitha, Osman Cihan Kilinc, Tara Javidi, Farinaz Koushanfar | Peer-to-peer Federated Learning on Graphs | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of training a machine learning model over a network
of nodes in a fully decentralized framework. The nodes take a Bayesian-like
approach via the introduction of a belief over the model parameter space. We
propose a distributed learning algorithm in which nodes update their belief by
aggregate ... | [
{
"created": "Thu, 31 Jan 2019 02:18:45 GMT",
"version": "v1"
}
] | 2019-02-01 | [
[
"Lalitha",
"Anusha",
""
],
[
"Kilinc",
"Osman Cihan",
""
],
[
"Javidi",
"Tara",
""
],
[
"Koushanfar",
"Farinaz",
""
]
] | We consider the problem of training a machine learning model over a network of nodes in a fully decentralized framework. The nodes take a Bayesian-like approach via the introduction of a belief over the model parameter space. We propose a distributed learning algorithm in which nodes update their belief by aggregate in... |
2402.03618 | Sreejan Kumar | Sreejan Kumar, Raja Marjieh, Byron Zhang, Declan Campbell, Michael Y.
Hu, Umang Bhatt, Brenden Lake, Thomas L. Griffiths | Comparing Abstraction in Humans and Large Language Models Using
Multimodal Serial Reproduction | null | null | null | null | cs.AI cs.CL q-bio.NC | http://creativecommons.org/licenses/by/4.0/ | Humans extract useful abstractions of the world from noisy sensory data.
Serial reproduction allows us to study how people construe the world through a
paradigm similar to the game of telephone, where one person observes a stimulus
and reproduces it for the next to form a chain of reproductions. Past serial
reproduct... | [
{
"created": "Tue, 6 Feb 2024 01:07:56 GMT",
"version": "v1"
}
] | 2024-02-07 | [
[
"Kumar",
"Sreejan",
""
],
[
"Marjieh",
"Raja",
""
],
[
"Zhang",
"Byron",
""
],
[
"Campbell",
"Declan",
""
],
[
"Hu",
"Michael Y.",
""
],
[
"Bhatt",
"Umang",
""
],
[
"Lake",
"Brenden",
""
],
[
"Griff... | Humans extract useful abstractions of the world from noisy sensory data. Serial reproduction allows us to study how people construe the world through a paradigm similar to the game of telephone, where one person observes a stimulus and reproduces it for the next to form a chain of reproductions. Past serial reproductio... |
2107.05202 | Daniil Pakhomov | Sanchit Hira, Ritwik Das, Abhinav Modi, Daniil Pakhomov | Delta Sampling R-BERT for limited data and low-light action recognition | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | We present an approach to perform supervised action recognition in the dark.
In this work, we present our results on the ARID dataset. Most previous works
only evaluate performance on large, well illuminated datasets like Kinetics and
HMDB51. We demonstrate that our work is able to achieve a very low error rate
while... | [
{
"created": "Mon, 12 Jul 2021 05:35:51 GMT",
"version": "v1"
}
] | 2021-07-13 | [
[
"Hira",
"Sanchit",
""
],
[
"Das",
"Ritwik",
""
],
[
"Modi",
"Abhinav",
""
],
[
"Pakhomov",
"Daniil",
""
]
] | We present an approach to perform supervised action recognition in the dark. In this work, we present our results on the ARID dataset. Most previous works only evaluate performance on large, well illuminated datasets like Kinetics and HMDB51. We demonstrate that our work is able to achieve a very low error rate while b... |
1203.4367 | Nasrin Jaberi | Hamidreza Barati, Nasrin Jaberi | Thesis Report: Resource Utilization Provisioning in MapReduce | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this thesis report, we have a survey on state-of-the-art methods for
modelling resource utilization of MapReduce applications regard to its
configuration parameters. After implementation of one of the algorithms in
literature, we tried to find that if CPU usage modelling of a MapReduce
application can be used to p... | [
{
"created": "Tue, 20 Mar 2012 10:06:24 GMT",
"version": "v1"
}
] | 2012-03-21 | [
[
"Barati",
"Hamidreza",
""
],
[
"Jaberi",
"Nasrin",
""
]
] | In this thesis report, we have a survey on state-of-the-art methods for modelling resource utilization of MapReduce applications regard to its configuration parameters. After implementation of one of the algorithms in literature, we tried to find that if CPU usage modelling of a MapReduce application can be used to pre... |
2002.12674 | Sebastian Lunz | Sebastian Lunz, Yingzhen Li, Andrew Fitzgibbon, Nate Kushman | Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured
2D Data | 8 pages paper, 3 pages references, 18 pages appendix | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent work has shown the ability to learn generative models for 3D shapes
from only unstructured 2D images. However, training such models requires
differentiating through the rasterization step of the rendering process,
therefore past work has focused on developing bespoke rendering models which
smooth over this non... | [
{
"created": "Fri, 28 Feb 2020 12:28:12 GMT",
"version": "v1"
}
] | 2020-03-02 | [
[
"Lunz",
"Sebastian",
""
],
[
"Li",
"Yingzhen",
""
],
[
"Fitzgibbon",
"Andrew",
""
],
[
"Kushman",
"Nate",
""
]
] | Recent work has shown the ability to learn generative models for 3D shapes from only unstructured 2D images. However, training such models requires differentiating through the rasterization step of the rendering process, therefore past work has focused on developing bespoke rendering models which smooth over this non-d... |
2212.00855 | Luis Alvarez | Cooper Cone, Michael Owen, Luis Alvarez, Marc Brittain | Reward Function Optimization of a Deep Reinforcement Learning Collision
Avoidance System | null | null | null | null | cs.AI cs.RO | http://creativecommons.org/licenses/by-sa/4.0/ | The proliferation of unmanned aircraft systems (UAS) has caused airspace
regulation authorities to examine the interoperability of these aircraft with
collision avoidance systems initially designed for large transport category
aircraft. Limitations in the currently mandated TCAS led the Federal Aviation
Administratio... | [
{
"created": "Thu, 1 Dec 2022 20:20:41 GMT",
"version": "v1"
}
] | 2022-12-05 | [
[
"Cone",
"Cooper",
""
],
[
"Owen",
"Michael",
""
],
[
"Alvarez",
"Luis",
""
],
[
"Brittain",
"Marc",
""
]
] | The proliferation of unmanned aircraft systems (UAS) has caused airspace regulation authorities to examine the interoperability of these aircraft with collision avoidance systems initially designed for large transport category aircraft. Limitations in the currently mandated TCAS led the Federal Aviation Administration ... |
2308.14562 | Philip Tobuschat | Philip Tobuschat, Hao Ma, Dieter B\"uchler, Bernhard Sch\"olkopf,
Michael Muehlebach | Data-Efficient Online Learning of Ball Placement in Robot Table Tennis | 7 pages, 6 figures, to be published in proceedings of the IEEE/RSJ
International Conference on Intelligent Robots and Systems (IROS) 2023 | null | null | null | cs.RO cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | We present an implementation of an online optimization algorithm for hitting
a predefined target when returning ping-pong balls with a table tennis robot.
The online algorithm optimizes over so-called interception policies, which
define the manner in which the robot arm intercepts the ball. In our case,
these are com... | [
{
"created": "Mon, 28 Aug 2023 13:24:58 GMT",
"version": "v1"
}
] | 2023-08-29 | [
[
"Tobuschat",
"Philip",
""
],
[
"Ma",
"Hao",
""
],
[
"Büchler",
"Dieter",
""
],
[
"Schölkopf",
"Bernhard",
""
],
[
"Muehlebach",
"Michael",
""
]
] | We present an implementation of an online optimization algorithm for hitting a predefined target when returning ping-pong balls with a table tennis robot. The online algorithm optimizes over so-called interception policies, which define the manner in which the robot arm intercepts the ball. In our case, these are compo... |
2406.15265 | Charlotte Pouw | Charlotte Pouw, Marianne de Heer Kloots, Afra Alishahi, Willem Zuidema | Perception of Phonological Assimilation by Neural Speech Recognition
Models | Accepted for publication in Computational Linguistics (Special Issue
on Language Learning, Representation, and Processing in Humans and Machines) | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Human listeners effortlessly compensate for phonological changes during
speech perception, often unconsciously inferring the intended sounds. For
example, listeners infer the underlying /n/ when hearing an utterance such as
"clea[m] pan", where [m] arises from place assimilation to the following labial
[p]. This arti... | [
{
"created": "Fri, 21 Jun 2024 15:58:22 GMT",
"version": "v1"
}
] | 2024-06-24 | [
[
"Pouw",
"Charlotte",
""
],
[
"Kloots",
"Marianne de Heer",
""
],
[
"Alishahi",
"Afra",
""
],
[
"Zuidema",
"Willem",
""
]
] | Human listeners effortlessly compensate for phonological changes during speech perception, often unconsciously inferring the intended sounds. For example, listeners infer the underlying /n/ when hearing an utterance such as "clea[m] pan", where [m] arises from place assimilation to the following labial [p]. This articl... |
2003.06880 | Liat Peterfreund | Liat Peterfreund | Grammars for Document Spanners | null | null | null | null | cs.DB | http://creativecommons.org/licenses/by/4.0/ | We propose a new grammar-based language for defining information-extractors
from documents (text) that is built upon the well-studied framework of document
spanners for extracting structured data from text. While previously studied
formalisms for document spanners are mainly based on regular expressions, we
use an ex... | [
{
"created": "Sun, 15 Mar 2020 17:50:18 GMT",
"version": "v1"
},
{
"created": "Tue, 24 Mar 2020 11:36:38 GMT",
"version": "v2"
},
{
"created": "Mon, 20 Apr 2020 17:00:06 GMT",
"version": "v3"
},
{
"created": "Thu, 12 Nov 2020 11:10:52 GMT",
"version": "v4"
},
{
"c... | 2023-01-25 | [
[
"Peterfreund",
"Liat",
""
]
] | We propose a new grammar-based language for defining information-extractors from documents (text) that is built upon the well-studied framework of document spanners for extracting structured data from text. While previously studied formalisms for document spanners are mainly based on regular expressions, we use an exte... |
2102.05346 | Michael K\"olle | Michael K\"olle, Dominik Laupheimer, Stefan Schmohl, Norbert Haala,
Franz Rottensteiner, Jan Dirk Wegner, Hugo Ledoux | The Hessigheim 3D (H3D) Benchmark on Semantic Segmentation of
High-Resolution 3D Point Clouds and Textured Meshes from UAV LiDAR and
Multi-View-Stereo | H3D can be retrieved from
https://ifpwww.ifp.uni-stuttgart.de/benchmark/hessigheim/default.aspx | null | 10.1016/j.ophoto.2021.100001 | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Automated semantic segmentation and object detection are of great importance
in geospatial data analysis. However, supervised machine learning systems such
as convolutional neural networks require large corpora of annotated training
data. Especially in the geospatial domain, such datasets are quite scarce.
Within thi... | [
{
"created": "Wed, 10 Feb 2021 09:33:48 GMT",
"version": "v1"
},
{
"created": "Thu, 25 Feb 2021 19:25:51 GMT",
"version": "v2"
}
] | 2021-07-20 | [
[
"Kölle",
"Michael",
""
],
[
"Laupheimer",
"Dominik",
""
],
[
"Schmohl",
"Stefan",
""
],
[
"Haala",
"Norbert",
""
],
[
"Rottensteiner",
"Franz",
""
],
[
"Wegner",
"Jan Dirk",
""
],
[
"Ledoux",
"Hugo",
""
]... | Automated semantic segmentation and object detection are of great importance in geospatial data analysis. However, supervised machine learning systems such as convolutional neural networks require large corpora of annotated training data. Especially in the geospatial domain, such datasets are quite scarce. Within this ... |
2402.03907 | Efe Bozkir | Efe Bozkir and S\"uleyman \"Ozdel and Ka Hei Carrie Lau and Mengdi
Wang and Hong Gao and Enkelejda Kasneci | Embedding Large Language Models into Extended Reality: Opportunities and
Challenges for Inclusion, Engagement, and Privacy | ACM Conversational User Interfaces 2024 | null | 10.1145/3640794.3665563 | null | cs.HC cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Advances in artificial intelligence and human-computer interaction will
likely lead to extended reality (XR) becoming pervasive. While XR can provide
users with interactive, engaging, and immersive experiences, non-player
characters are often utilized in pre-scripted and conventional ways. This paper
argues for using... | [
{
"created": "Tue, 6 Feb 2024 11:19:40 GMT",
"version": "v1"
},
{
"created": "Thu, 20 Jun 2024 10:02:30 GMT",
"version": "v2"
}
] | 2024-06-21 | [
[
"Bozkir",
"Efe",
""
],
[
"Özdel",
"Süleyman",
""
],
[
"Lau",
"Ka Hei Carrie",
""
],
[
"Wang",
"Mengdi",
""
],
[
"Gao",
"Hong",
""
],
[
"Kasneci",
"Enkelejda",
""
]
] | Advances in artificial intelligence and human-computer interaction will likely lead to extended reality (XR) becoming pervasive. While XR can provide users with interactive, engaging, and immersive experiences, non-player characters are often utilized in pre-scripted and conventional ways. This paper argues for using l... |
2112.09196 | Tong Xia | Tong Xia, Jing Han, Cecilia Mascolo | Benchmarking Uncertainty Quantification on Biosignal Classification
Tasks under Dataset Shift | Accepted by The 6th International Workshop on Health Intelligence
(W3PHIAI-22) | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A biosignal is a signal that can be continuously measured from human bodies,
such as respiratory sounds, heart activity (ECG), brain waves (EEG), etc, based
on which, machine learning models have been developed with very promising
performance for automatic disease detection and health status monitoring.
However, data... | [
{
"created": "Thu, 16 Dec 2021 20:42:17 GMT",
"version": "v1"
},
{
"created": "Tue, 25 Jan 2022 15:10:41 GMT",
"version": "v2"
}
] | 2022-01-26 | [
[
"Xia",
"Tong",
""
],
[
"Han",
"Jing",
""
],
[
"Mascolo",
"Cecilia",
""
]
] | A biosignal is a signal that can be continuously measured from human bodies, such as respiratory sounds, heart activity (ECG), brain waves (EEG), etc, based on which, machine learning models have been developed with very promising performance for automatic disease detection and health status monitoring. However, datase... |
2007.11930 | Jaafar Elmirghani | Zaid H. Nasralla, Taisir E. H. Elgorashi and Jaafar M. H. Elmirghani | Blackout Resilient Optical Core Network | null | null | null | null | cs.NI eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A disaster may not necessarily demolish the telecommunications
infrastructure, but instead it might affect the national grid and cause
blackouts, consequently disrupting the network operation unless there is an
alternative power source(s). In this paper, power outages are considered, and
the telecommunication network... | [
{
"created": "Thu, 23 Jul 2020 11:10:33 GMT",
"version": "v1"
}
] | 2020-07-24 | [
[
"Nasralla",
"Zaid H.",
""
],
[
"Elgorashi",
"Taisir E. H.",
""
],
[
"Elmirghani",
"Jaafar M. H.",
""
]
] | A disaster may not necessarily demolish the telecommunications infrastructure, but instead it might affect the national grid and cause blackouts, consequently disrupting the network operation unless there is an alternative power source(s). In this paper, power outages are considered, and the telecommunication network p... |
2106.10412 | Devansh Jalota | Devansh Jalota, Marco Pavone, Qi Qi, Yinyu Ye | Fisher Markets with Linear Constraints: Equilibrium Properties and
Efficient Distributed Algorithms | null | null | null | null | cs.GT | http://creativecommons.org/licenses/by/4.0/ | The Fisher market is one of the most fundamental models for resource
allocation problems in economic theory, wherein agents spend a budget of
currency to buy goods that maximize their utilities, while producers sell
capacity constrained goods in exchange for currency. However, the consideration
of only two types of c... | [
{
"created": "Sat, 19 Jun 2021 03:43:43 GMT",
"version": "v1"
}
] | 2021-06-22 | [
[
"Jalota",
"Devansh",
""
],
[
"Pavone",
"Marco",
""
],
[
"Qi",
"Qi",
""
],
[
"Ye",
"Yinyu",
""
]
] | The Fisher market is one of the most fundamental models for resource allocation problems in economic theory, wherein agents spend a budget of currency to buy goods that maximize their utilities, while producers sell capacity constrained goods in exchange for currency. However, the consideration of only two types of con... |
2205.00691 | Wei Jiang | Wei Jiang and Hans D. Schotten | Initial Beamforming for Millimeter-Wave and Terahertz Communications in
6G Mobile Systems | 2022 IEEE Wireless Communications and Networking Conference (WCNC),
April 2022, Austin, TX, USA | null | null | null | cs.IT eess.SP math.IT | http://creativecommons.org/licenses/by-nc-nd/4.0/ | To meet the demand of supreme data rates in terabits-per-second, the
next-generation mobile system needs to exploit the abundant spectrum in the
millimeter-wave and terahertz bands. However, high-frequency transmission
heavily relies on large-scale antenna arrays to reap high beamforming gain,
used to compensate for ... | [
{
"created": "Mon, 2 May 2022 07:17:46 GMT",
"version": "v1"
}
] | 2022-05-03 | [
[
"Jiang",
"Wei",
""
],
[
"Schotten",
"Hans D.",
""
]
] | To meet the demand of supreme data rates in terabits-per-second, the next-generation mobile system needs to exploit the abundant spectrum in the millimeter-wave and terahertz bands. However, high-frequency transmission heavily relies on large-scale antenna arrays to reap high beamforming gain, used to compensate for se... |
2110.02597 | Kerstin Bongard-Blanchy Dr | Cristiana Santos, Arianna Rossi, Lorena S\'anchez Chamorro, Kerstin
Bongard-Blanchy, Ruba Abu-Salma | Cookie Banners, What's the Purpose? Analyzing Cookie Banner Text Through
a Legal Lens | null | null | 10.1145/3463676.3485611 | null | cs.HC | http://creativecommons.org/licenses/by/4.0/ | A cookie banner pops up when a user visits a website for the first time,
requesting consent to the use of cookies and other trackers for a variety of
purposes. Unlike prior work that has focused on evaluating the user interface
(UI) design of cookie banners, this paper presents an in-depth analysis of what
cookie ban... | [
{
"created": "Wed, 6 Oct 2021 09:07:47 GMT",
"version": "v1"
},
{
"created": "Thu, 7 Oct 2021 11:09:44 GMT",
"version": "v2"
}
] | 2021-10-08 | [
[
"Santos",
"Cristiana",
""
],
[
"Rossi",
"Arianna",
""
],
[
"Chamorro",
"Lorena Sánchez",
""
],
[
"Bongard-Blanchy",
"Kerstin",
""
],
[
"Abu-Salma",
"Ruba",
""
]
] | A cookie banner pops up when a user visits a website for the first time, requesting consent to the use of cookies and other trackers for a variety of purposes. Unlike prior work that has focused on evaluating the user interface (UI) design of cookie banners, this paper presents an in-depth analysis of what cookie banne... |
2201.08904 | Jeffrey Zhao | Jeffrey Zhao, Raghav Gupta, Yuan Cao, Dian Yu, Mingqiu Wang, Harrison
Lee, Abhinav Rastogi, Izhak Shafran, Yonghui Wu | Description-Driven Task-Oriented Dialog Modeling | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Task-oriented dialogue (TOD) systems are required to identify key information
from conversations for the completion of given tasks. Such information is
conventionally specified in terms of intents and slots contained in
task-specific ontology or schemata. Since these schemata are designed by system
developers, the na... | [
{
"created": "Fri, 21 Jan 2022 22:07:41 GMT",
"version": "v1"
}
] | 2022-01-25 | [
[
"Zhao",
"Jeffrey",
""
],
[
"Gupta",
"Raghav",
""
],
[
"Cao",
"Yuan",
""
],
[
"Yu",
"Dian",
""
],
[
"Wang",
"Mingqiu",
""
],
[
"Lee",
"Harrison",
""
],
[
"Rastogi",
"Abhinav",
""
],
[
"Shafran",
... | Task-oriented dialogue (TOD) systems are required to identify key information from conversations for the completion of given tasks. Such information is conventionally specified in terms of intents and slots contained in task-specific ontology or schemata. Since these schemata are designed by system developers, the nami... |
2309.02427 | Shunyu Yao | Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan, Thomas L.
Griffiths | Cognitive Architectures for Language Agents | v3 is TMLR camera ready version. 19 pages of main content, 5 figures.
The first two authors contributed equally, order decided by coin flip. A
CoALA-based repo of recent work on language agents:
https://github.com/ysymyth/awesome-language-agents | null | null | null | cs.AI cs.CL cs.LG cs.SC | http://creativecommons.org/licenses/by/4.0/ | Recent efforts have augmented large language models (LLMs) with external
resources (e.g., the Internet) or internal control flows (e.g., prompt
chaining) for tasks requiring grounding or reasoning, leading to a new class of
language agents. While these agents have achieved substantial empirical
success, we lack a sys... | [
{
"created": "Tue, 5 Sep 2023 17:56:20 GMT",
"version": "v1"
},
{
"created": "Wed, 27 Sep 2023 15:27:25 GMT",
"version": "v2"
},
{
"created": "Fri, 15 Mar 2024 15:44:11 GMT",
"version": "v3"
}
] | 2024-03-18 | [
[
"Sumers",
"Theodore R.",
""
],
[
"Yao",
"Shunyu",
""
],
[
"Narasimhan",
"Karthik",
""
],
[
"Griffiths",
"Thomas L.",
""
]
] | Recent efforts have augmented large language models (LLMs) with external resources (e.g., the Internet) or internal control flows (e.g., prompt chaining) for tasks requiring grounding or reasoning, leading to a new class of language agents. While these agents have achieved substantial empirical success, we lack a syste... |
2001.07607 | Timothy LaRock | Timothy LaRock, Timothy Sakharov, Sahely Bhadra, Tina Eliassi-Rad | Understanding the Limitations of Network Online Learning | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Studies of networked phenomena, such as interactions in online social media,
often rely on incomplete data, either because these phenomena are partially
observed, or because the data is too large or expensive to acquire all at once.
Analysis of incomplete data leads to skewed or misleading results. In this
paper, we ... | [
{
"created": "Thu, 9 Jan 2020 13:59:20 GMT",
"version": "v1"
}
] | 2020-01-22 | [
[
"LaRock",
"Timothy",
""
],
[
"Sakharov",
"Timothy",
""
],
[
"Bhadra",
"Sahely",
""
],
[
"Eliassi-Rad",
"Tina",
""
]
] | Studies of networked phenomena, such as interactions in online social media, often rely on incomplete data, either because these phenomena are partially observed, or because the data is too large or expensive to acquire all at once. Analysis of incomplete data leads to skewed or misleading results. In this paper, we in... |
2002.04741 | Hao Chen | Hao Chen, Yali Wang, Guoyou Wang, Xiang Bai, and Yu Qiao | Progressive Object Transfer Detection | TIP 2019 | null | 10.1109/TIP.2019.2938680 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent development of object detection mainly depends on deep learning with
large-scale benchmarks. However, collecting such fully-annotated data is often
difficult or expensive for real-world applications, which restricts the power
of deep neural networks in practice. Alternatively, humans can detect new
objects wit... | [
{
"created": "Wed, 12 Feb 2020 00:16:24 GMT",
"version": "v1"
},
{
"created": "Thu, 13 Feb 2020 05:06:51 GMT",
"version": "v2"
}
] | 2020-02-19 | [
[
"Chen",
"Hao",
""
],
[
"Wang",
"Yali",
""
],
[
"Wang",
"Guoyou",
""
],
[
"Bai",
"Xiang",
""
],
[
"Qiao",
"Yu",
""
]
] | Recent development of object detection mainly depends on deep learning with large-scale benchmarks. However, collecting such fully-annotated data is often difficult or expensive for real-world applications, which restricts the power of deep neural networks in practice. Alternatively, humans can detect new objects with ... |
2108.08977 | Zecheng He | Zecheng He, Ruby B. Lee | CloudShield: Real-time Anomaly Detection in the Cloud | null | null | null | null | cs.CR cs.LG | http://creativecommons.org/licenses/by/4.0/ | In cloud computing, it is desirable if suspicious activities can be detected
by automatic anomaly detection systems. Although anomaly detection has been
investigated in the past, it remains unsolved in cloud computing. Challenges
are: characterizing the normal behavior of a cloud server, distinguishing
between benign... | [
{
"created": "Fri, 20 Aug 2021 03:14:18 GMT",
"version": "v1"
},
{
"created": "Wed, 25 Aug 2021 05:08:12 GMT",
"version": "v2"
}
] | 2021-08-26 | [
[
"He",
"Zecheng",
""
],
[
"Lee",
"Ruby B.",
""
]
] | In cloud computing, it is desirable if suspicious activities can be detected by automatic anomaly detection systems. Although anomaly detection has been investigated in the past, it remains unsolved in cloud computing. Challenges are: characterizing the normal behavior of a cloud server, distinguishing between benign a... |
2408.02313 | Benjamin Marais | Tony Quertier, Benjamin Marais, Gr\'egoire Barru\'e, St\'ephane
Morucci, S\'evan Az\'e, S\'ebastien Salladin | A Lean Transformer Model for Dynamic Malware Analysis and Detection | null | null | null | null | cs.CR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Malware is a fast-growing threat to the modern computing world and existing
lines of defense are not efficient enough to address this issue. This is mainly
due to the fact that many prevention solutions rely on signature-based
detection methods that can easily be circumvented by hackers. Therefore, there
is a recurre... | [
{
"created": "Mon, 5 Aug 2024 08:46:46 GMT",
"version": "v1"
}
] | 2024-08-06 | [
[
"Quertier",
"Tony",
""
],
[
"Marais",
"Benjamin",
""
],
[
"Barrué",
"Grégoire",
""
],
[
"Morucci",
"Stéphane",
""
],
[
"Azé",
"Sévan",
""
],
[
"Salladin",
"Sébastien",
""
]
] | Malware is a fast-growing threat to the modern computing world and existing lines of defense are not efficient enough to address this issue. This is mainly due to the fact that many prevention solutions rely on signature-based detection methods that can easily be circumvented by hackers. Therefore, there is a recurrent... |
2101.06067 | Jean-Pierre Sleiman | Jean-Pierre Sleiman, Farbod Farshidian, Marco Hutter | Constraint Handling in Continuous-Time DDP-Based Model Predictive
Control | null | null | null | null | cs.RO cs.SY eess.SY math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Sequential Linear Quadratic (SLQ) algorithm is a continuous-time variant
of the well-known Differential Dynamic Programming (DDP) technique with a
Gauss-Newton Hessian approximation. This family of methods has gained
popularity in the robotics community due to its efficiency in solving complex
trajectory optimiza... | [
{
"created": "Fri, 15 Jan 2021 11:29:11 GMT",
"version": "v1"
},
{
"created": "Fri, 26 Mar 2021 11:33:11 GMT",
"version": "v2"
}
] | 2021-03-29 | [
[
"Sleiman",
"Jean-Pierre",
""
],
[
"Farshidian",
"Farbod",
""
],
[
"Hutter",
"Marco",
""
]
] | The Sequential Linear Quadratic (SLQ) algorithm is a continuous-time variant of the well-known Differential Dynamic Programming (DDP) technique with a Gauss-Newton Hessian approximation. This family of methods has gained popularity in the robotics community due to its efficiency in solving complex trajectory optimizati... |
2106.03614 | Mo Zhou | Mo Zhou, Le Wang, Zhenxing Niu, Qilin Zhang, Nanning Zheng, Gang Hua | Adversarial Attack and Defense in Deep Ranking | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep Neural Network classifiers are vulnerable to adversarial attack, where
an imperceptible perturbation could result in misclassification. However, the
vulnerability of DNN-based image ranking systems remains under-explored. In
this paper, we propose two attacks against deep ranking systems, i.e.,
Candidate Attack ... | [
{
"created": "Mon, 7 Jun 2021 13:41:45 GMT",
"version": "v1"
}
] | 2021-06-08 | [
[
"Zhou",
"Mo",
""
],
[
"Wang",
"Le",
""
],
[
"Niu",
"Zhenxing",
""
],
[
"Zhang",
"Qilin",
""
],
[
"Zheng",
"Nanning",
""
],
[
"Hua",
"Gang",
""
]
] | Deep Neural Network classifiers are vulnerable to adversarial attack, where an imperceptible perturbation could result in misclassification. However, the vulnerability of DNN-based image ranking systems remains under-explored. In this paper, we propose two attacks against deep ranking systems, i.e., Candidate Attack an... |
1904.05530 | Xiang Ren | Woojeong Jin, Meng Qu, Xisen Jin, Xiang Ren | Recurrent Event Network: Autoregressive Structure Inference over
Temporal Knowledge Graphs | 15 pages, 8 figures, accepted at as full paper in EMNLP 2020 | null | null | null | cs.LG cs.AI cs.CL stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Knowledge graph reasoning is a critical task in natural language processing.
The task becomes more challenging on temporal knowledge graphs, where each fact
is associated with a timestamp. Most existing methods focus on reasoning at
past timestamps and they are not able to predict facts happening in the future.
This ... | [
{
"created": "Thu, 11 Apr 2019 04:45:42 GMT",
"version": "v1"
},
{
"created": "Tue, 4 Jun 2019 19:06:37 GMT",
"version": "v2"
},
{
"created": "Tue, 8 Oct 2019 03:32:40 GMT",
"version": "v3"
},
{
"created": "Tue, 6 Oct 2020 18:40:59 GMT",
"version": "v4"
}
] | 2020-10-08 | [
[
"Jin",
"Woojeong",
""
],
[
"Qu",
"Meng",
""
],
[
"Jin",
"Xisen",
""
],
[
"Ren",
"Xiang",
""
]
] | Knowledge graph reasoning is a critical task in natural language processing. The task becomes more challenging on temporal knowledge graphs, where each fact is associated with a timestamp. Most existing methods focus on reasoning at past timestamps and they are not able to predict facts happening in the future. This pa... |
2005.10296 | Ajith Suresh | Nishat Koti, Mahak Pancholi, Arpita Patra, Ajith Suresh | SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning | This article is the full and extended version of an article to appear
in USENIX Security 2021 | null | null | null | cs.CR cs.LG | http://creativecommons.org/licenses/by/4.0/ | Performing machine learning (ML) computation on private data while
maintaining data privacy, aka Privacy-preserving Machine Learning~(PPML), is an
emergent field of research. Recently, PPML has seen a visible shift towards the
adoption of the Secure Outsourced Computation~(SOC) paradigm due to the heavy
computation t... | [
{
"created": "Wed, 20 May 2020 18:20:23 GMT",
"version": "v1"
},
{
"created": "Fri, 30 Oct 2020 08:26:09 GMT",
"version": "v2"
},
{
"created": "Wed, 17 Feb 2021 08:47:28 GMT",
"version": "v3"
}
] | 2021-02-18 | [
[
"Koti",
"Nishat",
""
],
[
"Pancholi",
"Mahak",
""
],
[
"Patra",
"Arpita",
""
],
[
"Suresh",
"Ajith",
""
]
] | Performing machine learning (ML) computation on private data while maintaining data privacy, aka Privacy-preserving Machine Learning~(PPML), is an emergent field of research. Recently, PPML has seen a visible shift towards the adoption of the Secure Outsourced Computation~(SOC) paradigm due to the heavy computation tha... |
2102.11749 | Ewan Dunbar | Louis Fournier and Ewan Dunbar | Paraphrases do not explain word analogies | To appear in Proceedings of the 16th Conference of the European
Chapter of the Association for Computational Linguistics: Volume 2, Short
Papers | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Many types of distributional word embeddings (weakly) encode linguistic
regularities as directions (the difference between "jump" and "jumped" will be
in a similar direction to that of "walk" and "walked," and so on). Several
attempts have been made to explain this fact. We respond to Allen and
Hospedales' recent (IC... | [
{
"created": "Tue, 23 Feb 2021 15:25:10 GMT",
"version": "v1"
}
] | 2021-02-24 | [
[
"Fournier",
"Louis",
""
],
[
"Dunbar",
"Ewan",
""
]
] | Many types of distributional word embeddings (weakly) encode linguistic regularities as directions (the difference between "jump" and "jumped" will be in a similar direction to that of "walk" and "walked," and so on). Several attempts have been made to explain this fact. We respond to Allen and Hospedales' recent (ICML... |
2009.10333 | Aanchal Mongia | Aanchal Mongia, Stuti Jain, Emilie Chouzenoux and Angshul Majumda | DeepVir -- Graphical Deep Matrix Factorization for "In Silico" Antiviral
Repositioning: Application to COVID-19 | null | null | null | null | cs.LG stat.ML | http://creativecommons.org/publicdomain/zero/1.0/ | This work formulates antiviral repositioning as a matrix completion problem
where the antiviral drugs are along the rows and the viruses along the columns.
The input matrix is partially filled, with ones in positions where the
antiviral has been known to be effective against a virus. The curated metadata
for antivira... | [
{
"created": "Tue, 22 Sep 2020 05:57:03 GMT",
"version": "v1"
}
] | 2020-09-23 | [
[
"Mongia",
"Aanchal",
""
],
[
"Jain",
"Stuti",
""
],
[
"Chouzenoux",
"Emilie",
""
],
[
"Majumda",
"Angshul",
""
]
] | This work formulates antiviral repositioning as a matrix completion problem where the antiviral drugs are along the rows and the viruses along the columns. The input matrix is partially filled, with ones in positions where the antiviral has been known to be effective against a virus. The curated metadata for antivirals... |
2401.01353 | Ralph Ankele | Ralph Ankele, Hamed Haddadi | The Boomerang protocol: A Decentralised Privacy-Preserving Verifiable
Incentive Protocol | fix formatting issue in abstract | null | null | null | cs.CR | http://creativecommons.org/licenses/by-nc-nd/4.0/ | In the era of data-driven economies, incentive systems and loyalty programs,
have become ubiquitous in various sectors, including advertising, retail,
travel, and financial services. While these systems offer advantages for both
users and companies, they necessitate the transfer and analysis of substantial
amounts of... | [
{
"created": "Wed, 6 Dec 2023 09:37:45 GMT",
"version": "v1"
},
{
"created": "Tue, 9 Jan 2024 17:27:33 GMT",
"version": "v2"
}
] | 2024-01-11 | [
[
"Ankele",
"Ralph",
""
],
[
"Haddadi",
"Hamed",
""
]
] | In the era of data-driven economies, incentive systems and loyalty programs, have become ubiquitous in various sectors, including advertising, retail, travel, and financial services. While these systems offer advantages for both users and companies, they necessitate the transfer and analysis of substantial amounts of s... |
2310.16361 | Zhiyu Chen | Besnik Fetahu, Zhiyu Chen, Oleg Rokhlenko, Shervin Malmasi | InstructPTS: Instruction-Tuning LLMs for Product Title Summarization | Accepted by EMNLP 2023 (Industry Track) | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | E-commerce product catalogs contain billions of items. Most products have
lengthy titles, as sellers pack them with product attributes to improve
retrieval, and highlight key product aspects. This results in a gap between
such unnatural products titles, and how customers refer to them. It also limits
how e-commerce s... | [
{
"created": "Wed, 25 Oct 2023 04:56:07 GMT",
"version": "v1"
}
] | 2023-10-26 | [
[
"Fetahu",
"Besnik",
""
],
[
"Chen",
"Zhiyu",
""
],
[
"Rokhlenko",
"Oleg",
""
],
[
"Malmasi",
"Shervin",
""
]
] | E-commerce product catalogs contain billions of items. Most products have lengthy titles, as sellers pack them with product attributes to improve retrieval, and highlight key product aspects. This results in a gap between such unnatural products titles, and how customers refer to them. It also limits how e-commerce sto... |
2005.00820 | Clara Meister | Clara Meister, Elizabeth Salesky, Ryan Cotterell | Generalized Entropy Regularization or: There's Nothing Special about
Label Smoothing | Published as long paper at ACL 2020 | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Prior work has explored directly regularizing the output distributions of
probabilistic models to alleviate peaky (i.e. over-confident) predictions, a
common sign of overfitting. This class of techniques, of which label smoothing
is one, has a connection to entropy regularization. Despite the consistent
success of la... | [
{
"created": "Sat, 2 May 2020 12:46:28 GMT",
"version": "v1"
},
{
"created": "Tue, 12 May 2020 06:22:06 GMT",
"version": "v2"
}
] | 2020-05-13 | [
[
"Meister",
"Clara",
""
],
[
"Salesky",
"Elizabeth",
""
],
[
"Cotterell",
"Ryan",
""
]
] | Prior work has explored directly regularizing the output distributions of probabilistic models to alleviate peaky (i.e. over-confident) predictions, a common sign of overfitting. This class of techniques, of which label smoothing is one, has a connection to entropy regularization. Despite the consistent success of labe... |
2301.11608 | Lecheng Kong | Lecheng Kong, Christopher King, Bradley Fritz, Yixin Chen | A Multi-View Joint Learning Framework for Embedding Clinical Codes and
Text Using Graph Neural Networks | null | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Learning to represent free text is a core task in many clinical machine
learning (ML) applications, as clinical text contains observations and plans
not otherwise available for inference. State-of-the-art methods use large
language models developed with immense computational resources and training
data; however, appl... | [
{
"created": "Fri, 27 Jan 2023 09:19:03 GMT",
"version": "v1"
}
] | 2023-01-30 | [
[
"Kong",
"Lecheng",
""
],
[
"King",
"Christopher",
""
],
[
"Fritz",
"Bradley",
""
],
[
"Chen",
"Yixin",
""
]
] | Learning to represent free text is a core task in many clinical machine learning (ML) applications, as clinical text contains observations and plans not otherwise available for inference. State-of-the-art methods use large language models developed with immense computational resources and training data; however, applyi... |
2010.02035 | Aksel Wilhelm Wold Eide | Aksel Wilhelm Wold Eide, Eilif Solberg, Ingebj{\o}rg K{\aa}sen | Sample weighting as an explanation for mode collapse in generative
adversarial networks | 41 pages, 21 figures, preprint | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Generative adversarial networks were introduced with a logistic MiniMax cost
formulation, which normally fails to train due to saturation, and a
Non-Saturating reformulation. While addressing the saturation problem, NS-GAN
also inverts the generator's sample weighting, implicitly shifting emphasis
from higher-scoring... | [
{
"created": "Mon, 5 Oct 2020 14:13:45 GMT",
"version": "v1"
}
] | 2020-10-06 | [
[
"Eide",
"Aksel Wilhelm Wold",
""
],
[
"Solberg",
"Eilif",
""
],
[
"Kåsen",
"Ingebjørg",
""
]
] | Generative adversarial networks were introduced with a logistic MiniMax cost formulation, which normally fails to train due to saturation, and a Non-Saturating reformulation. While addressing the saturation problem, NS-GAN also inverts the generator's sample weighting, implicitly shifting emphasis from higher-scoring t... |
2103.02907 | Qibin Hou | Qibin Hou, Daquan Zhou, Jiashi Feng | Coordinate Attention for Efficient Mobile Network Design | CVPR2021 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Recent studies on mobile network design have demonstrated the remarkable
effectiveness of channel attention (e.g., the Squeeze-and-Excitation attention)
for lifting model performance, but they generally neglect the positional
information, which is important for generating spatially selective attention
maps. In this p... | [
{
"created": "Thu, 4 Mar 2021 09:18:02 GMT",
"version": "v1"
}
] | 2021-03-05 | [
[
"Hou",
"Qibin",
""
],
[
"Zhou",
"Daquan",
""
],
[
"Feng",
"Jiashi",
""
]
] | Recent studies on mobile network design have demonstrated the remarkable effectiveness of channel attention (e.g., the Squeeze-and-Excitation attention) for lifting model performance, but they generally neglect the positional information, which is important for generating spatially selective attention maps. In this pap... |
2308.16584 | Zhongtao Jiang | Zhongtao Jiang, Yuanzhe Zhang, Yiming Ju, and Kang Liu | Unsupervised Text Style Transfer with Deep Generative Models | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a general framework for unsupervised text style transfer with deep
generative models. The framework models each sentence-label pair in the
non-parallel corpus as partially observed from a complete quadruplet which
additionally contains two latent codes representing the content and style,
respectively. Thes... | [
{
"created": "Thu, 31 Aug 2023 09:29:35 GMT",
"version": "v1"
}
] | 2023-09-01 | [
[
"Jiang",
"Zhongtao",
""
],
[
"Zhang",
"Yuanzhe",
""
],
[
"Ju",
"Yiming",
""
],
[
"Liu",
"Kang",
""
]
] | We present a general framework for unsupervised text style transfer with deep generative models. The framework models each sentence-label pair in the non-parallel corpus as partially observed from a complete quadruplet which additionally contains two latent codes representing the content and style, respectively. These ... |
2201.09081 | Steve Huntsman | Steve Huntsman | Physical geometry of channel degradation | null | null | 10.1109/CISS56502.2023.10089672 | null | cs.IT cond-mat.stat-mech math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We outline a geometrical correspondence between capacity and effective free
energy minima of discrete memoryless channels. This correspondence informs the
behavior of a timescale that is important in effective statistical physics.
| [
{
"created": "Sat, 22 Jan 2022 15:36:59 GMT",
"version": "v1"
}
] | 2023-04-18 | [
[
"Huntsman",
"Steve",
""
]
] | We outline a geometrical correspondence between capacity and effective free energy minima of discrete memoryless channels. This correspondence informs the behavior of a timescale that is important in effective statistical physics. |
1609.08531 | Anirban Bhattacharyya | Anirban Bhattacharyya and Andrey Mokhov and Ken Pierce | An Empirical Comparison of Formalisms for Modelling and Analysis of
Dynamic Reconfiguration of Dependable Systems | 84 pages including 4 appendices, journal paper | null | null | null | cs.SE cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper uses a case study to evaluate empirically three formalisms of
different kinds for their suitability for the modelling and analysis of dynamic
reconfiguration of dependable systems. The requirements on an ideal formalism
for dynamic software reconfiguration are defined. The reconfiguration of an
office work... | [
{
"created": "Tue, 27 Sep 2016 16:59:50 GMT",
"version": "v1"
}
] | 2016-09-28 | [
[
"Bhattacharyya",
"Anirban",
""
],
[
"Mokhov",
"Andrey",
""
],
[
"Pierce",
"Ken",
""
]
] | This paper uses a case study to evaluate empirically three formalisms of different kinds for their suitability for the modelling and analysis of dynamic reconfiguration of dependable systems. The requirements on an ideal formalism for dynamic software reconfiguration are defined. The reconfiguration of an office workfl... |
2405.11537 | Mikhail Konenkov | Mikhail Konenkov, Artem Lykov, Daria Trinitatova, Dzmitry Tsetserukou | VR-GPT: Visual Language Model for Intelligent Virtual Reality
Applications | Updated version | null | null | null | cs.RO cs.AI cs.ET | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The advent of immersive Virtual Reality applications has transformed various
domains, yet their integration with advanced artificial intelligence
technologies like Visual Language Models remains underexplored. This study
introduces a pioneering approach utilizing VLMs within VR environments to
enhance user interactio... | [
{
"created": "Sun, 19 May 2024 12:56:00 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Jul 2024 07:46:14 GMT",
"version": "v2"
},
{
"created": "Sat, 3 Aug 2024 10:19:54 GMT",
"version": "v3"
}
] | 2024-08-06 | [
[
"Konenkov",
"Mikhail",
""
],
[
"Lykov",
"Artem",
""
],
[
"Trinitatova",
"Daria",
""
],
[
"Tsetserukou",
"Dzmitry",
""
]
] | The advent of immersive Virtual Reality applications has transformed various domains, yet their integration with advanced artificial intelligence technologies like Visual Language Models remains underexplored. This study introduces a pioneering approach utilizing VLMs within VR environments to enhance user interaction ... |
2303.11011 | Xinglong Luo | Xinglong Luo, Kunming Luo, Ao Luo, Zhengning Wang, Ping Tan,
Shuaicheng Liu | Learning Optical Flow from Event Camera with Rendered Dataset | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of estimating optical flow from event cameras. One
important issue is how to build a high-quality event-flow dataset with accurate
event values and flow labels. Previous datasets are created by either capturing
real scenes by event cameras or synthesizing from images with pasted foreground
object... | [
{
"created": "Mon, 20 Mar 2023 10:44:32 GMT",
"version": "v1"
}
] | 2023-03-21 | [
[
"Luo",
"Xinglong",
""
],
[
"Luo",
"Kunming",
""
],
[
"Luo",
"Ao",
""
],
[
"Wang",
"Zhengning",
""
],
[
"Tan",
"Ping",
""
],
[
"Liu",
"Shuaicheng",
""
]
] | We study the problem of estimating optical flow from event cameras. One important issue is how to build a high-quality event-flow dataset with accurate event values and flow labels. Previous datasets are created by either capturing real scenes by event cameras or synthesizing from images with pasted foreground objects.... |
1908.06724 | Shreyas Kolala Venkataramanaiah | Shreyas Kolala Venkataramanaiah, Yufei Ma, Shihui Yin, Eriko
Nurvithadhi, Aravind Dasu, Yu Cao, Jae-sun Seo | Automatic Compiler Based FPGA Accelerator for CNN Training | 6 pages, 9 figures, paper accepted at FPL2019 conference | null | null | null | cs.LG cs.NE eess.SP | http://creativecommons.org/licenses/by/4.0/ | Training of convolutional neural networks (CNNs)on embedded platforms to
support on-device learning is earning vital importance in recent days.
Designing flexible training hard-ware is much more challenging than inference
hardware, due to design complexity and large computation/memory requirement. In
this work, we pr... | [
{
"created": "Thu, 15 Aug 2019 18:49:38 GMT",
"version": "v1"
}
] | 2019-08-20 | [
[
"Venkataramanaiah",
"Shreyas Kolala",
""
],
[
"Ma",
"Yufei",
""
],
[
"Yin",
"Shihui",
""
],
[
"Nurvithadhi",
"Eriko",
""
],
[
"Dasu",
"Aravind",
""
],
[
"Cao",
"Yu",
""
],
[
"Seo",
"Jae-sun",
""
]
] | Training of convolutional neural networks (CNNs)on embedded platforms to support on-device learning is earning vital importance in recent days. Designing flexible training hard-ware is much more challenging than inference hardware, due to design complexity and large computation/memory requirement. In this work, we pres... |
2012.13190 | Yves Rychener | Yves Rychener, Xavier Renard, Djam\'e Seddah, Pascal Frossard, Marcin
Detyniecki | QUACKIE: A NLP Classification Task With Ground Truth Explanations | null | null | null | null | cs.CL stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | NLP Interpretability aims to increase trust in model predictions. This makes
evaluating interpretability approaches a pressing issue. There are multiple
datasets for evaluating NLP Interpretability, but their dependence on human
provided ground truths raises questions about their unbiasedness. In this work,
we take a... | [
{
"created": "Thu, 24 Dec 2020 10:43:20 GMT",
"version": "v1"
},
{
"created": "Sun, 27 Dec 2020 18:04:17 GMT",
"version": "v2"
}
] | 2020-12-29 | [
[
"Rychener",
"Yves",
""
],
[
"Renard",
"Xavier",
""
],
[
"Seddah",
"Djamé",
""
],
[
"Frossard",
"Pascal",
""
],
[
"Detyniecki",
"Marcin",
""
]
] | NLP Interpretability aims to increase trust in model predictions. This makes evaluating interpretability approaches a pressing issue. There are multiple datasets for evaluating NLP Interpretability, but their dependence on human provided ground truths raises questions about their unbiasedness. In this work, we take a d... |
2307.06013 | Li Cai | Li Cai, Xin Mao, Youshao Xiao, Changxu Wu, Man Lan | An Effective and Efficient Time-aware Entity Alignment Framework via
Two-aspect Three-view Label Propagation | Accepted by IJCAI 2023 | null | null | null | cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Entity alignment (EA) aims to find the equivalent entity pairs between
different knowledge graphs (KGs), which is crucial to promote knowledge fusion.
With the wide use of temporal knowledge graphs (TKGs), time-aware EA (TEA)
methods appear to enhance EA. Existing TEA models are based on Graph Neural
Networks (GNN) a... | [
{
"created": "Wed, 12 Jul 2023 08:51:20 GMT",
"version": "v1"
}
] | 2023-07-13 | [
[
"Cai",
"Li",
""
],
[
"Mao",
"Xin",
""
],
[
"Xiao",
"Youshao",
""
],
[
"Wu",
"Changxu",
""
],
[
"Lan",
"Man",
""
]
] | Entity alignment (EA) aims to find the equivalent entity pairs between different knowledge graphs (KGs), which is crucial to promote knowledge fusion. With the wide use of temporal knowledge graphs (TKGs), time-aware EA (TEA) methods appear to enhance EA. Existing TEA models are based on Graph Neural Networks (GNN) and... |
2311.16406 | Arman Roohi | Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi | DIAC: Design Exploration of Intermittent-Aware Computing Realizing
Batteryless Systems | 6 pages, will be appeared in Design, Automation and Test in Europe
Conference 2024 | null | null | null | cs.AR cs.ET | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Battery-powered IoT devices face challenges like cost, maintenance, and
environmental sustainability, prompting the emergence of batteryless
energy-harvesting systems that harness ambient sources. However, their
intermittent behavior can disrupt program execution and cause data loss,
leading to unpredictable outcomes... | [
{
"created": "Tue, 28 Nov 2023 01:18:30 GMT",
"version": "v1"
}
] | 2023-11-29 | [
[
"Tabrizchi",
"Sepehr",
""
],
[
"Angizi",
"Shaahin",
""
],
[
"Roohi",
"Arman",
""
]
] | Battery-powered IoT devices face challenges like cost, maintenance, and environmental sustainability, prompting the emergence of batteryless energy-harvesting systems that harness ambient sources. However, their intermittent behavior can disrupt program execution and cause data loss, leading to unpredictable outcomes. ... |
2201.00180 | Mohammadhossein Ghahramani | Mohammadhossein Ghahramani, Mengchu Zhou, Anna Molter, Francesco Pilla | IoT-based Route Recommendation for an Intelligent Waste Management
System | 11 | null | 10.1109/JIOT.2021.3132126 | null | cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The Internet of Things (IoT) is a paradigm characterized by a network of
embedded sensors and services. These sensors are incorporated to collect
various information, track physical conditions, e.g., waste bins' status, and
exchange data with different centralized platforms. The need for such sensors
is increasing; h... | [
{
"created": "Sat, 1 Jan 2022 12:36:22 GMT",
"version": "v1"
}
] | 2022-01-04 | [
[
"Ghahramani",
"Mohammadhossein",
""
],
[
"Zhou",
"Mengchu",
""
],
[
"Molter",
"Anna",
""
],
[
"Pilla",
"Francesco",
""
]
] | The Internet of Things (IoT) is a paradigm characterized by a network of embedded sensors and services. These sensors are incorporated to collect various information, track physical conditions, e.g., waste bins' status, and exchange data with different centralized platforms. The need for such sensors is increasing; how... |
1107.0919 | Markus Lohrey | Stefan G\"oller (University of Bremen), Markus Lohrey (University of
Leipzig) | The First-Order Theory of Ground Tree Rewrite Graphs | accepted for Logical Methods in Computer Science | Logical Methods in Computer Science, Volume 10, Issue 1 (February
12, 2014) lmcs:1223 | 10.2168/LMCS-10(1:7)2014 | null | cs.LO cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We prove that the complexity of the uniform first-order theory of ground tree
rewrite graphs is in ATIME(2^{2^{poly(n)}},O(n)). Providing a matching lower
bound, we show that there is some fixed ground tree rewrite graph whose
first-order theory is hard for ATIME(2^{2^{poly(n)}},poly(n)) with respect to
logspace redu... | [
{
"created": "Tue, 5 Jul 2011 16:32:12 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Jul 2011 22:30:54 GMT",
"version": "v2"
},
{
"created": "Wed, 8 Jan 2014 09:22:16 GMT",
"version": "v3"
},
{
"created": "Mon, 10 Feb 2014 10:39:12 GMT",
"version": "v4"
}
] | 2015-07-01 | [
[
"Göller",
"Stefan",
"",
"University of Bremen"
],
[
"Lohrey",
"Markus",
"",
"University of\n Leipzig"
]
] | We prove that the complexity of the uniform first-order theory of ground tree rewrite graphs is in ATIME(2^{2^{poly(n)}},O(n)). Providing a matching lower bound, we show that there is some fixed ground tree rewrite graph whose first-order theory is hard for ATIME(2^{2^{poly(n)}},poly(n)) with respect to logspace reduct... |
2006.09108 | Jinghua Yu | Jinghua Yu, Stefan Wagner, Feng Luo | An STPA-based Approach for Systematic Security Analysis of In-vehicle
Diagnostic and Software Update Systems | 6 pages, 7 figures, submitted to FISITA 2020 World Congress | null | null | F2020-VES-020, FISITA Web Congress 2020 | cs.CR cs.SE cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The in-vehicle diagnostic and software update system, which supports remote
diagnostic and Over-The-Air (OTA) software updates, is a critical attack goal
in automobiles. Adversaries can inject malicious software into vehicles or
steal sensitive information through communication channels. Therefore, security
analysis,... | [
{
"created": "Tue, 16 Jun 2020 12:34:17 GMT",
"version": "v1"
}
] | 2020-12-01 | [
[
"Yu",
"Jinghua",
""
],
[
"Wagner",
"Stefan",
""
],
[
"Luo",
"Feng",
""
]
] | The in-vehicle diagnostic and software update system, which supports remote diagnostic and Over-The-Air (OTA) software updates, is a critical attack goal in automobiles. Adversaries can inject malicious software into vehicles or steal sensitive information through communication channels. Therefore, security analysis, w... |
2306.07084 | Karin Festl | Karin Festl, Patrick Promitzer, Daniel Watzenig, Huilin Yin | Performance of Graph Database Management Systems as route planning
solutions for different data and usage characteristics | Submitted to IEEE IAVVC 2023 | null | null | null | cs.DB cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph databases have grown in popularity in recent years as they are able to
efficiently store and query complex relationships between data. Incidentally,
navigation data and road networks can be processed, sampled or modified
efficiently when stored as a graph. As a result, graph databases are a solution
for solving... | [
{
"created": "Mon, 12 Jun 2023 12:55:09 GMT",
"version": "v1"
}
] | 2023-06-13 | [
[
"Festl",
"Karin",
""
],
[
"Promitzer",
"Patrick",
""
],
[
"Watzenig",
"Daniel",
""
],
[
"Yin",
"Huilin",
""
]
] | Graph databases have grown in popularity in recent years as they are able to efficiently store and query complex relationships between data. Incidentally, navigation data and road networks can be processed, sampled or modified efficiently when stored as a graph. As a result, graph databases are a solution for solving r... |
1901.08618 | Shantanu Sharma | Nisha Panwar, Shantanu Sharma, Guoxi Wang, Sharad Mehrotra, Nalini
Venkatasubramanian | Verifiable Round-Robin Scheme for Smart Homes | Accepted in ACM Conference on Data and Application Security and
Privacy (CODASPY), 2019. 12 pages | null | 10.1145/3292006.3300043 | null | cs.CR cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Advances in sensing, networking, and actuation technologies have resulted in
the IoT wave that is expected to revolutionize all aspects of modern society.
This paper focuses on the new challenges of privacy that arise in IoT in the
context of smart homes. Specifically, the paper focuses on preventing the
user's priva... | [
{
"created": "Thu, 24 Jan 2019 19:20:22 GMT",
"version": "v1"
}
] | 2019-01-28 | [
[
"Panwar",
"Nisha",
""
],
[
"Sharma",
"Shantanu",
""
],
[
"Wang",
"Guoxi",
""
],
[
"Mehrotra",
"Sharad",
""
],
[
"Venkatasubramanian",
"Nalini",
""
]
] | Advances in sensing, networking, and actuation technologies have resulted in the IoT wave that is expected to revolutionize all aspects of modern society. This paper focuses on the new challenges of privacy that arise in IoT in the context of smart homes. Specifically, the paper focuses on preventing the user's privacy... |
2205.00385 | Jichao Yin | Jichao Yin and Hu Wang and Shuhao Li and Daozhen Guo | An efficient topology optimization method based on adaptive reanalysis
with projection reduction | 42 pages, 32 figures | null | null | null | cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Efficient topology optimization based on the adaptive auxiliary reduced model
reanalysis (AARMR) is proposed to improve computational efficiency and scale.
In this method, a projection auxiliary reduced model (PARM) is integrated into
the combined approximation reduced model (CARM) to reduce the dimension of the
mode... | [
{
"created": "Sun, 1 May 2022 02:55:02 GMT",
"version": "v1"
},
{
"created": "Tue, 3 Jan 2023 07:29:47 GMT",
"version": "v2"
}
] | 2023-01-04 | [
[
"Yin",
"Jichao",
""
],
[
"Wang",
"Hu",
""
],
[
"Li",
"Shuhao",
""
],
[
"Guo",
"Daozhen",
""
]
] | Efficient topology optimization based on the adaptive auxiliary reduced model reanalysis (AARMR) is proposed to improve computational efficiency and scale. In this method, a projection auxiliary reduced model (PARM) is integrated into the combined approximation reduced model (CARM) to reduce the dimension of the model ... |
1403.7022 | Hengjun Zhao | Jiang Liu and Naijun Zhan and Hengjun Zhao and Liang Zou | Abstraction of Elementary Hybrid Systems by Variable Transformation | null | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Elementary hybrid systems (EHSs) are those hybrid systems (HSs) containing
elementary functions such as exp, ln, sin, cos, etc. EHSs are very common in
practice, especially in safety-critical domains. Due to the non-polynomial
expressions which lead to undecidable arithmetic, verification of EHSs is very
hard. Existi... | [
{
"created": "Thu, 27 Mar 2014 13:38:12 GMT",
"version": "v1"
},
{
"created": "Mon, 20 Oct 2014 11:43:22 GMT",
"version": "v2"
},
{
"created": "Tue, 13 Jan 2015 09:09:07 GMT",
"version": "v3"
},
{
"created": "Wed, 14 Jan 2015 06:33:56 GMT",
"version": "v4"
}
] | 2015-01-15 | [
[
"Liu",
"Jiang",
""
],
[
"Zhan",
"Naijun",
""
],
[
"Zhao",
"Hengjun",
""
],
[
"Zou",
"Liang",
""
]
] | Elementary hybrid systems (EHSs) are those hybrid systems (HSs) containing elementary functions such as exp, ln, sin, cos, etc. EHSs are very common in practice, especially in safety-critical domains. Due to the non-polynomial expressions which lead to undecidable arithmetic, verification of EHSs is very hard. Existing... |
2406.16449 | Mingrui Wu | Mingrui Wu, Jiayi Ji, Oucheng Huang, Jiale Li, Yuhang Wu, Xiaoshuai
Sun, Rongrong Ji | Evaluating and Analyzing Relationship Hallucinations in Large
Vision-Language Models | ICML2024; Project Page:https://github.com/mrwu-mac/R-Bench | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | The issue of hallucinations is a prevalent concern in existing Large
Vision-Language Models (LVLMs). Previous efforts have primarily focused on
investigating object hallucinations, which can be easily alleviated by
introducing object detectors. However, these efforts neglect hallucinations in
inter-object relationshi... | [
{
"created": "Mon, 24 Jun 2024 08:42:42 GMT",
"version": "v1"
},
{
"created": "Wed, 3 Jul 2024 03:02:35 GMT",
"version": "v2"
},
{
"created": "Thu, 11 Jul 2024 06:48:39 GMT",
"version": "v3"
},
{
"created": "Thu, 18 Jul 2024 04:39:29 GMT",
"version": "v4"
}
] | 2024-07-19 | [
[
"Wu",
"Mingrui",
""
],
[
"Ji",
"Jiayi",
""
],
[
"Huang",
"Oucheng",
""
],
[
"Li",
"Jiale",
""
],
[
"Wu",
"Yuhang",
""
],
[
"Sun",
"Xiaoshuai",
""
],
[
"Ji",
"Rongrong",
""
]
] | The issue of hallucinations is a prevalent concern in existing Large Vision-Language Models (LVLMs). Previous efforts have primarily focused on investigating object hallucinations, which can be easily alleviated by introducing object detectors. However, these efforts neglect hallucinations in inter-object relationships... |
1909.13516 | Yao Wan | Yao Wan, Jingdong Shu, Yulei Sui, Guandong Xu, Zhou Zhao, Jian Wu and
Philip S. Yu | Multi-Modal Attention Network Learning for Semantic Source Code
Retrieval | null | null | null | null | cs.SE cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Code retrieval techniques and tools have been playing a key role in
facilitating software developers to retrieve existing code fragments from
available open-source repositories given a user query. Despite the existing
efforts in improving the effectiveness of code retrieval, there are still two
main issues hindering ... | [
{
"created": "Mon, 30 Sep 2019 08:35:04 GMT",
"version": "v1"
}
] | 2019-10-01 | [
[
"Wan",
"Yao",
""
],
[
"Shu",
"Jingdong",
""
],
[
"Sui",
"Yulei",
""
],
[
"Xu",
"Guandong",
""
],
[
"Zhao",
"Zhou",
""
],
[
"Wu",
"Jian",
""
],
[
"Yu",
"Philip S.",
""
]
] | Code retrieval techniques and tools have been playing a key role in facilitating software developers to retrieve existing code fragments from available open-source repositories given a user query. Despite the existing efforts in improving the effectiveness of code retrieval, there are still two main issues hindering th... |
2406.18330 | Matan Halfon | Matan Halfon, Eyal Rozenberg, Ehud Rivlin, Daniel Freedman | Molecular Diffusion Models with Virtual Receptors | null | https://neurips.cc/virtual/2023/77389 | null | null | cs.LG q-bio.BM | http://creativecommons.org/licenses/by/4.0/ | Machine learning approaches to Structure-Based Drug Design (SBDD) have proven
quite fertile over the last few years. In particular, diffusion-based
approaches to SBDD have shown great promise. We present a technique which
expands on this diffusion approach in two crucial ways. First, we address the
size disparity bet... | [
{
"created": "Wed, 26 Jun 2024 13:18:42 GMT",
"version": "v1"
}
] | 2024-07-01 | [
[
"Halfon",
"Matan",
""
],
[
"Rozenberg",
"Eyal",
""
],
[
"Rivlin",
"Ehud",
""
],
[
"Freedman",
"Daniel",
""
]
] | Machine learning approaches to Structure-Based Drug Design (SBDD) have proven quite fertile over the last few years. In particular, diffusion-based approaches to SBDD have shown great promise. We present a technique which expands on this diffusion approach in two crucial ways. First, we address the size disparity betwe... |
2102.05638 | Zach Wood-Doughty | Zach Wood-Doughty, Ilya Shpitser, Mark Dredze | Generating Synthetic Text Data to Evaluate Causal Inference Methods | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Drawing causal conclusions from observational data requires making
assumptions about the true data-generating process. Causal inference research
typically considers low-dimensional data, such as categorical or numerical
fields in structured medical records. High-dimensional and unstructured data
such as natural langu... | [
{
"created": "Wed, 10 Feb 2021 18:53:11 GMT",
"version": "v1"
}
] | 2021-02-11 | [
[
"Wood-Doughty",
"Zach",
""
],
[
"Shpitser",
"Ilya",
""
],
[
"Dredze",
"Mark",
""
]
] | Drawing causal conclusions from observational data requires making assumptions about the true data-generating process. Causal inference research typically considers low-dimensional data, such as categorical or numerical fields in structured medical records. High-dimensional and unstructured data such as natural languag... |
2103.09583 | Stefan Ohrhallinger | Stefan Ohrhallinger and Jiju Peethambaran and Amal D. Parakkat and
Tamal K. Dey and Ramanathan Muthuganapathy | 2D Points Curve Reconstruction Survey and Benchmark | 24 pages, 22 figures, 5 tables | null | null | null | cs.GR | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Curve reconstruction from unstructured points in a plane is a fundamental
problem with many applications that has generated research interest for
decades. Involved aspects like handling open, sharp, multiple and non-manifold
outlines, run-time and provability as well as potential extension to 3D for
surface reconstru... | [
{
"created": "Wed, 17 Mar 2021 11:55:43 GMT",
"version": "v1"
}
] | 2021-03-18 | [
[
"Ohrhallinger",
"Stefan",
""
],
[
"Peethambaran",
"Jiju",
""
],
[
"Parakkat",
"Amal D.",
""
],
[
"Dey",
"Tamal K.",
""
],
[
"Muthuganapathy",
"Ramanathan",
""
]
] | Curve reconstruction from unstructured points in a plane is a fundamental problem with many applications that has generated research interest for decades. Involved aspects like handling open, sharp, multiple and non-manifold outlines, run-time and provability as well as potential extension to 3D for surface reconstruct... |
2210.07547 | Songyang Gao | Songyang Gao, Shihan Dou, Qi Zhang, Xuanjing Huang | Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence
Embedding | Accepted by EMNLP2022 | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | Dataset bias has attracted increasing attention recently for its detrimental
effect on the generalization ability of fine-tuned models. The current
mainstream solution is designing an additional shallow model to pre-identify
biased instances. However, such two-stage methods scale up the computational
complexity of tr... | [
{
"created": "Fri, 14 Oct 2022 05:56:38 GMT",
"version": "v1"
}
] | 2022-10-17 | [
[
"Gao",
"Songyang",
""
],
[
"Dou",
"Shihan",
""
],
[
"Zhang",
"Qi",
""
],
[
"Huang",
"Xuanjing",
""
]
] | Dataset bias has attracted increasing attention recently for its detrimental effect on the generalization ability of fine-tuned models. The current mainstream solution is designing an additional shallow model to pre-identify biased instances. However, such two-stage methods scale up the computational complexity of trai... |
1903.12221 | Alex Glikson | Ping-Min Lin, Alex Glikson | Mitigating Cold Starts in Serverless Platforms: A Pool-Based Approach | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Rapid adoption of the serverless (or Function-as-a-Service, FaaS) paradigm,
pioneered by Amazon with AWS Lambda and followed by numerous commercial
offerings and open source projects, introduces new challenges in designing the
cloud infrastructure, balancing between performance and cost. While instant
per-request ela... | [
{
"created": "Thu, 28 Mar 2019 18:55:30 GMT",
"version": "v1"
}
] | 2019-04-01 | [
[
"Lin",
"Ping-Min",
""
],
[
"Glikson",
"Alex",
""
]
] | Rapid adoption of the serverless (or Function-as-a-Service, FaaS) paradigm, pioneered by Amazon with AWS Lambda and followed by numerous commercial offerings and open source projects, introduces new challenges in designing the cloud infrastructure, balancing between performance and cost. While instant per-request elast... |
2201.12011 | Bendaoud Fayssal | Bendaoud Fayssal and Abdennebi Marwen and Didi Fedoua | A MADM method for network selection in heterogeneous wireless networks | null | null | null | null | cs.NI | http://creativecommons.org/licenses/by/4.0/ | The coexistence of different Radio Access Technologies (RATs) in the same
area has enabled the researchers to get profit from the available networks by
the selection of the best RAT at each moment to satisfy the user requirements.
The challenge is to achieve the Always Best Connected (ABC) concept; the main
issue is ... | [
{
"created": "Fri, 28 Jan 2022 09:47:29 GMT",
"version": "v1"
}
] | 2022-01-31 | [
[
"Fayssal",
"Bendaoud",
""
],
[
"Marwen",
"Abdennebi",
""
],
[
"Fedoua",
"Didi",
""
]
] | The coexistence of different Radio Access Technologies (RATs) in the same area has enabled the researchers to get profit from the available networks by the selection of the best RAT at each moment to satisfy the user requirements. The challenge is to achieve the Always Best Connected (ABC) concept; the main issue is th... |
1309.6849 | Joris Mooij | Joris Mooij, Tom Heskes | Cyclic Causal Discovery from Continuous Equilibrium Data | Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty
in Artificial Intelligence (UAI2013) | null | null | UAI-P-2013-PG-431-439 | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a method for learning cyclic causal models from a combination of
observational and interventional equilibrium data. Novel aspects of the
proposed method are its ability to work with continuous data (without assuming
linearity) and to deal with feedback loops. Within the context of biochemical
reactions, we... | [
{
"created": "Thu, 26 Sep 2013 12:45:43 GMT",
"version": "v1"
}
] | 2013-09-27 | [
[
"Mooij",
"Joris",
""
],
[
"Heskes",
"Tom",
""
]
] | We propose a method for learning cyclic causal models from a combination of observational and interventional equilibrium data. Novel aspects of the proposed method are its ability to work with continuous data (without assuming linearity) and to deal with feedback loops. Within the context of biochemical reactions, we a... |
2405.20680 | Mingda Li | Mingda Li, Xinyu Li, Yifan Chen, Wenfeng Xuan, Weinan Zhang | Unraveling and Mitigating Retriever Inconsistencies in
Retrieval-Augmented Large Language Models | ACL 2024 (findings) | null | null | null | cs.AI cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Although Retrieval-Augmented Large Language Models (RALMs) demonstrate their
superiority in terms of factuality, they do not consistently outperform the
original retrieval-free Language Models (LMs). Our experiments reveal that this
example-level performance inconsistency exists not only between
retrieval-augmented a... | [
{
"created": "Fri, 31 May 2024 08:22:49 GMT",
"version": "v1"
},
{
"created": "Mon, 3 Jun 2024 06:20:18 GMT",
"version": "v2"
},
{
"created": "Tue, 4 Jun 2024 11:51:53 GMT",
"version": "v3"
}
] | 2024-06-05 | [
[
"Li",
"Mingda",
""
],
[
"Li",
"Xinyu",
""
],
[
"Chen",
"Yifan",
""
],
[
"Xuan",
"Wenfeng",
""
],
[
"Zhang",
"Weinan",
""
]
] | Although Retrieval-Augmented Large Language Models (RALMs) demonstrate their superiority in terms of factuality, they do not consistently outperform the original retrieval-free Language Models (LMs). Our experiments reveal that this example-level performance inconsistency exists not only between retrieval-augmented and... |
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