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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2106.16233 | Isel Grau | Gonzalo N\'apoles, Isel Grau, Agnieszka Jastrzebska, Yamisleydi
Salgueiro | Long Short-term Cognitive Networks | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | In this paper, we present a recurrent neural system named Long Short-term
Cognitive Networks (LSTCNs) as a generalization of the Short-term Cognitive
Network (STCN) model. Such a generalization is motivated by the difficulty of
forecasting very long time series efficiently. The LSTCN model can be defined
as a collect... | [
{
"created": "Wed, 30 Jun 2021 17:42:09 GMT",
"version": "v1"
},
{
"created": "Thu, 16 Sep 2021 20:18:10 GMT",
"version": "v2"
}
] | 2021-09-20 | [
[
"Nápoles",
"Gonzalo",
""
],
[
"Grau",
"Isel",
""
],
[
"Jastrzebska",
"Agnieszka",
""
],
[
"Salgueiro",
"Yamisleydi",
""
]
] | In this paper, we present a recurrent neural system named Long Short-term Cognitive Networks (LSTCNs) as a generalization of the Short-term Cognitive Network (STCN) model. Such a generalization is motivated by the difficulty of forecasting very long time series efficiently. The LSTCN model can be defined as a collectio... |
2011.09884 | Qing Guo | Bing Yu and Hua Qi and Qing Guo and Felix Juefei-Xu and Xiaofei Xie
and Lei Ma and Jianjun Zhao | DeepRepair: Style-Guided Repairing for DNNs in the Real-world
Operational Environment | 14 pages; 5 figures | null | null | null | cs.LG cs.AI cs.CV cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep neural networks (DNNs) are being widely applied for various real-world
applications across domains due to their high performance (e.g., high accuracy
on image classification). Nevertheless, a well-trained DNN after deployment
could oftentimes raise errors during practical use in the operational
environment due t... | [
{
"created": "Thu, 19 Nov 2020 15:09:44 GMT",
"version": "v1"
}
] | 2020-11-20 | [
[
"Yu",
"Bing",
""
],
[
"Qi",
"Hua",
""
],
[
"Guo",
"Qing",
""
],
[
"Juefei-Xu",
"Felix",
""
],
[
"Xie",
"Xiaofei",
""
],
[
"Ma",
"Lei",
""
],
[
"Zhao",
"Jianjun",
""
]
] | Deep neural networks (DNNs) are being widely applied for various real-world applications across domains due to their high performance (e.g., high accuracy on image classification). Nevertheless, a well-trained DNN after deployment could oftentimes raise errors during practical use in the operational environment due to ... |
1407.2170 | Giorgos Tolias | Giorgos Tolias (INRIA), Teddy Furon (INRIA), Herv\'e J\'egou (INRIA) | Orientation covariant aggregation of local descriptors with embeddings | European Conference on Computer Vision (2014) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Image search systems based on local descriptors typically achieve orientation
invariance by aligning the patches on their dominant orientations. Albeit
successful, this choice introduces too much invariance because it does not
guarantee that the patches are rotated consistently. This paper introduces an
aggregation s... | [
{
"created": "Tue, 8 Jul 2014 16:55:36 GMT",
"version": "v1"
},
{
"created": "Tue, 25 Nov 2014 11:43:20 GMT",
"version": "v2"
}
] | 2014-11-26 | [
[
"Tolias",
"Giorgos",
"",
"INRIA"
],
[
"Furon",
"Teddy",
"",
"INRIA"
],
[
"Jégou",
"Hervé",
"",
"INRIA"
]
] | Image search systems based on local descriptors typically achieve orientation invariance by aligning the patches on their dominant orientations. Albeit successful, this choice introduces too much invariance because it does not guarantee that the patches are rotated consistently. This paper introduces an aggregation str... |
2403.11162 | Xiaoyu Wu | Xiaoyu Wu, Yang Hua, Chumeng Liang, Jiaru Zhang, Hao Wang, Tao Song,
Haibing Guan | CGI-DM: Digital Copyright Authentication for Diffusion Models via
Contrasting Gradient Inversion | Accepted by CVPR 2024 | null | null | null | cs.CV cs.AI cs.CR cs.CY cs.LG | http://creativecommons.org/licenses/by/4.0/ | Diffusion Models (DMs) have evolved into advanced image generation tools,
especially for few-shot generation where a pretrained model is fine-tuned on a
small set of images to capture a specific style or object. Despite their
success, concerns exist about potential copyright violations stemming from the
use of unauth... | [
{
"created": "Sun, 17 Mar 2024 10:06:38 GMT",
"version": "v1"
}
] | 2024-03-19 | [
[
"Wu",
"Xiaoyu",
""
],
[
"Hua",
"Yang",
""
],
[
"Liang",
"Chumeng",
""
],
[
"Zhang",
"Jiaru",
""
],
[
"Wang",
"Hao",
""
],
[
"Song",
"Tao",
""
],
[
"Guan",
"Haibing",
""
]
] | Diffusion Models (DMs) have evolved into advanced image generation tools, especially for few-shot generation where a pretrained model is fine-tuned on a small set of images to capture a specific style or object. Despite their success, concerns exist about potential copyright violations stemming from the use of unauthor... |
1807.02693 | Mohammad Khodaei | Hamid Noroozi, Mohammad Khodaei, Panos Papadimitratos | VPKIaaS: A Highly-Available and Dynamically-Scalable Vehicular
Public-Key Infrastructure | 3 pages, 4 figures, Proceedings of the 11th ACM Conference on
Security & Privacy in Wireless and Mobile Networks (WiSec), Stockholm,
Sweden, June 2018 | ACM WiSec, Stockholm, Sweden, June 2018, pp. 302--304 | 10.1145/3212480.3226100 | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The central building block of secure and privacy-preserving Vehicular
Communication (VC) systems is a Vehicular Public-Key Infrastructure (VPKI),
which provides vehicles with multiple anonymized credentials, termed
pseudonyms. These pseudonyms are used to ensure message authenticity and
integrity while preserving veh... | [
{
"created": "Sat, 7 Jul 2018 16:59:46 GMT",
"version": "v1"
}
] | 2018-07-10 | [
[
"Noroozi",
"Hamid",
""
],
[
"Khodaei",
"Mohammad",
""
],
[
"Papadimitratos",
"Panos",
""
]
] | The central building block of secure and privacy-preserving Vehicular Communication (VC) systems is a Vehicular Public-Key Infrastructure (VPKI), which provides vehicles with multiple anonymized credentials, termed pseudonyms. These pseudonyms are used to ensure message authenticity and integrity while preserving vehic... |
1507.08087 | Marko Van Dooren | Benoit Desouter, Tom Schrijvers, Marko van Dooren | Tabling as a Library with Delimited Control | 15 pages. To appear in Theory and Practice of Logic Programming
(TPLP), Proceedings of ICLP 2015 | Theory and Practice of Logic Programming 15 (2015) 419-433 | 10.1017/S1471068415000137 | null | cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Tabling is probably the most widely studied extension of Prolog. But despite
its importance and practicality, tabling is not implemented by most Prolog
systems. Existing approaches require substantial changes to the Prolog engine,
which is an investment out of reach of most systems. To enable more widespread
adoption... | [
{
"created": "Wed, 29 Jul 2015 10:01:22 GMT",
"version": "v1"
}
] | 2020-02-19 | [
[
"Desouter",
"Benoit",
""
],
[
"Schrijvers",
"Tom",
""
],
[
"van Dooren",
"Marko",
""
]
] | Tabling is probably the most widely studied extension of Prolog. But despite its importance and practicality, tabling is not implemented by most Prolog systems. Existing approaches require substantial changes to the Prolog engine, which is an investment out of reach of most systems. To enable more widespread adoption, ... |
1811.02886 | Dave Cliff | Ellie Birbeck and Dave Cliff | Using Stock Prices as Ground Truth in Sentiment Analysis to Generate
Profitable Trading Signals | 8 pages, 6 figures. To be presented at IEEE Symposium on
Computational Intelligence in Financial Engineering (CIFEr), Bengaluru,
November 18-21, 2018 | null | null | null | cs.CE q-fin.ST | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The increasing availability of "big" (large volume) social media data has
motivated a great deal of research in applying sentiment analysis to predict
the movement of prices within financial markets. Previous work in this field
investigates how the true sentiment of text (i.e. positive or negative
opinions) can be us... | [
{
"created": "Wed, 7 Nov 2018 13:55:01 GMT",
"version": "v1"
}
] | 2018-11-08 | [
[
"Birbeck",
"Ellie",
""
],
[
"Cliff",
"Dave",
""
]
] | The increasing availability of "big" (large volume) social media data has motivated a great deal of research in applying sentiment analysis to predict the movement of prices within financial markets. Previous work in this field investigates how the true sentiment of text (i.e. positive or negative opinions) can be used... |
2407.20695 | Ciaran Eising | Mirza Akhi Khatun, Mangolika Bhattacharya, Ciar\'an Eising, Lubna
Luxmi Dhirani | Time Series Anomaly Detection with CNN for Environmental Sensors in
Healthcare-IoT | null | Proceedings of the 12th IEEE International Conference on
Healthcare Informatics (IEEE ICHI 2024) | null | null | cs.LG cs.CR cs.CV | http://creativecommons.org/licenses/by/4.0/ | This research develops a new method to detect anomalies in time series data
using Convolutional Neural Networks (CNNs) in healthcare-IoT. The proposed
method creates a Distributed Denial of Service (DDoS) attack using an IoT
network simulator, Cooja, which emulates environmental sensors such as
temperature and humidi... | [
{
"created": "Tue, 30 Jul 2024 09:43:42 GMT",
"version": "v1"
}
] | 2024-07-31 | [
[
"Khatun",
"Mirza Akhi",
""
],
[
"Bhattacharya",
"Mangolika",
""
],
[
"Eising",
"Ciarán",
""
],
[
"Dhirani",
"Lubna Luxmi",
""
]
] | This research develops a new method to detect anomalies in time series data using Convolutional Neural Networks (CNNs) in healthcare-IoT. The proposed method creates a Distributed Denial of Service (DDoS) attack using an IoT network simulator, Cooja, which emulates environmental sensors such as temperature and humidity... |
1705.02882 | Michele Polese | Marco Mezzavilla, Menglei Zhang, Michele Polese, Russell Ford, Sourjya
Dutta, Sundeep Rangan, Michele Zorzi | End-to-End Simulation of 5G mmWave Networks | 25 pages, 16 figures, submitted to IEEE Communications Surveys and
Tutorials (revised Jan. 2018) | null | 10.1109/COMST.2018.2828880 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Due to its potential for multi-gigabit and low latency wireless links,
millimeter wave (mmWave) technology is expected to play a central role in 5th
generation cellular systems. While there has been considerable progress in
understanding the mmWave physical layer, innovations will be required at all
layers of the pro... | [
{
"created": "Mon, 8 May 2017 14:01:29 GMT",
"version": "v1"
},
{
"created": "Wed, 4 Oct 2017 07:02:23 GMT",
"version": "v2"
},
{
"created": "Mon, 5 Feb 2018 07:21:20 GMT",
"version": "v3"
}
] | 2018-09-06 | [
[
"Mezzavilla",
"Marco",
""
],
[
"Zhang",
"Menglei",
""
],
[
"Polese",
"Michele",
""
],
[
"Ford",
"Russell",
""
],
[
"Dutta",
"Sourjya",
""
],
[
"Rangan",
"Sundeep",
""
],
[
"Zorzi",
"Michele",
""
]
] | Due to its potential for multi-gigabit and low latency wireless links, millimeter wave (mmWave) technology is expected to play a central role in 5th generation cellular systems. While there has been considerable progress in understanding the mmWave physical layer, innovations will be required at all layers of the proto... |
2210.03087 | Wang Zhu | Jacob Krantz, Shurjo Banerjee, Wang Zhu, Jason Corso, Peter Anderson,
Stefan Lee and Jesse Thomason | Iterative Vision-and-Language Navigation | Accepted by CVPR 2023 | null | null | null | cs.CV cs.CL cs.RO | http://creativecommons.org/licenses/by/4.0/ | We present Iterative Vision-and-Language Navigation (IVLN), a paradigm for
evaluating language-guided agents navigating in a persistent environment over
time. Existing Vision-and-Language Navigation (VLN) benchmarks erase the
agent's memory at the beginning of every episode, testing the ability to
perform cold-start ... | [
{
"created": "Thu, 6 Oct 2022 17:46:00 GMT",
"version": "v1"
},
{
"created": "Wed, 20 Dec 2023 17:24:33 GMT",
"version": "v2"
},
{
"created": "Sun, 24 Dec 2023 05:37:26 GMT",
"version": "v3"
}
] | 2023-12-27 | [
[
"Krantz",
"Jacob",
""
],
[
"Banerjee",
"Shurjo",
""
],
[
"Zhu",
"Wang",
""
],
[
"Corso",
"Jason",
""
],
[
"Anderson",
"Peter",
""
],
[
"Lee",
"Stefan",
""
],
[
"Thomason",
"Jesse",
""
]
] | We present Iterative Vision-and-Language Navigation (IVLN), a paradigm for evaluating language-guided agents navigating in a persistent environment over time. Existing Vision-and-Language Navigation (VLN) benchmarks erase the agent's memory at the beginning of every episode, testing the ability to perform cold-start na... |
2008.08932 | J Terry | J. K. Terry, Benjamin Black, Ananth Hari | SuperSuit: Simple Microwrappers for Reinforcement Learning Environments | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In reinforcement learning, wrappers are universally used to transform the
information that passes between a model and an environment. Despite their
ubiquity, no library exists with reasonable implementations of all popular
preprocessing methods. This leads to unnecessary bugs, code inefficiencies, and
wasted develope... | [
{
"created": "Mon, 17 Aug 2020 00:30:06 GMT",
"version": "v1"
}
] | 2021-11-17 | [
[
"Terry",
"J. K.",
""
],
[
"Black",
"Benjamin",
""
],
[
"Hari",
"Ananth",
""
]
] | In reinforcement learning, wrappers are universally used to transform the information that passes between a model and an environment. Despite their ubiquity, no library exists with reasonable implementations of all popular preprocessing methods. This leads to unnecessary bugs, code inefficiencies, and wasted developer ... |
2405.13010 | Khanh-Tung Tran | Khanh-Tung Tran, Barry O'Sullivan, Hoang D. Nguyen | UCCIX: Irish-eXcellence Large Language Model | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | The development of Large Language Models (LLMs) has predominantly focused on
high-resource languages, leaving extremely low-resource languages like Irish
with limited representation. This work presents UCCIX, a pioneering effort on
the development of an open-source Irish-based LLM. We propose a novel framework
for co... | [
{
"created": "Mon, 13 May 2024 13:19:27 GMT",
"version": "v1"
}
] | 2024-05-24 | [
[
"Tran",
"Khanh-Tung",
""
],
[
"O'Sullivan",
"Barry",
""
],
[
"Nguyen",
"Hoang D.",
""
]
] | The development of Large Language Models (LLMs) has predominantly focused on high-resource languages, leaving extremely low-resource languages like Irish with limited representation. This work presents UCCIX, a pioneering effort on the development of an open-source Irish-based LLM. We propose a novel framework for cont... |
1703.03905 | Alireza Poshtkohi | Alireza Poshtkohi, M.B. Ghaznavi-Ghoushchi | DotDFS: A Grid-based high-throughput file transfer system | 28 pages, 21 figures | Parallel Computing, 37 (2011) 114-136 | 10.1016/j.parco.2010.12.003 | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | DotGrid platform is a Grid infrastructure integrated with a set of open and
standard protocols recently implemented on the top of Microsoft .NET in Windows
and MONO .NET in UNIX/Linux. DotGrid infrastructure along with its proposed
protocols provides a right and solid approach to targeting other platforms,
e.g., the ... | [
{
"created": "Sat, 11 Mar 2017 04:17:07 GMT",
"version": "v1"
},
{
"created": "Sat, 18 Mar 2017 08:47:54 GMT",
"version": "v2"
}
] | 2017-03-21 | [
[
"Poshtkohi",
"Alireza",
""
],
[
"Ghaznavi-Ghoushchi",
"M. B.",
""
]
] | DotGrid platform is a Grid infrastructure integrated with a set of open and standard protocols recently implemented on the top of Microsoft .NET in Windows and MONO .NET in UNIX/Linux. DotGrid infrastructure along with its proposed protocols provides a right and solid approach to targeting other platforms, e.g., the na... |
2107.12979 | Beren Millidge Mr | Beren Millidge, Anil Seth, Christopher L Buckley | Predictive Coding: a Theoretical and Experimental Review | 27/07/21 initial upload; 14/01/22 maths fix; 05/07/22 maths fix;
12/07/22 text fixes | null | null | null | cs.AI cs.NE q-bio.NC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Predictive coding offers a potentially unifying account of cortical function
-- postulating that the core function of the brain is to minimize prediction
errors with respect to a generative model of the world. The theory is closely
related to the Bayesian brain framework and, over the last two decades, has
gained sub... | [
{
"created": "Tue, 27 Jul 2021 17:44:21 GMT",
"version": "v1"
},
{
"created": "Fri, 14 Jan 2022 22:13:59 GMT",
"version": "v2"
},
{
"created": "Tue, 5 Jul 2022 13:26:48 GMT",
"version": "v3"
},
{
"created": "Tue, 12 Jul 2022 19:51:47 GMT",
"version": "v4"
}
] | 2022-07-14 | [
[
"Millidge",
"Beren",
""
],
[
"Seth",
"Anil",
""
],
[
"Buckley",
"Christopher L",
""
]
] | Predictive coding offers a potentially unifying account of cortical function -- postulating that the core function of the brain is to minimize prediction errors with respect to a generative model of the world. The theory is closely related to the Bayesian brain framework and, over the last two decades, has gained subst... |
2009.12005 | Zhaojiang Lin | Zhaojiang Lin, Andrea Madotto, Genta Indra Winata, Pascale Fung | MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems | EMNLP 2020 camera ready | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose Minimalist Transfer Learning (MinTL) to simplify
the system design process of task-oriented dialogue systems and alleviate the
over-dependency on annotated data. MinTL is a simple yet effective transfer
learning framework, which allows us to plug-and-play pre-trained seq2seq
models, and join... | [
{
"created": "Fri, 25 Sep 2020 02:19:13 GMT",
"version": "v1"
},
{
"created": "Mon, 28 Sep 2020 06:43:17 GMT",
"version": "v2"
}
] | 2020-09-29 | [
[
"Lin",
"Zhaojiang",
""
],
[
"Madotto",
"Andrea",
""
],
[
"Winata",
"Genta Indra",
""
],
[
"Fung",
"Pascale",
""
]
] | In this paper, we propose Minimalist Transfer Learning (MinTL) to simplify the system design process of task-oriented dialogue systems and alleviate the over-dependency on annotated data. MinTL is a simple yet effective transfer learning framework, which allows us to plug-and-play pre-trained seq2seq models, and jointl... |
1802.05911 | Mehmet Baygin | Mehmet Baygin, Mehmet Karakose, Alisan Sarimaden, Erhan Akin | An Image Processing based Object Counting Approach for Machine Vision
Application | International Conference on Advances and Innovations in Engineering
(ICAIE) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Machine vision applications are low cost and high precision measurement
systems which are frequently used in production lines. With these systems that
provide contactless control and measurement, production facilities are able to
reach high production numbers without errors. Machine vision operations such as
product ... | [
{
"created": "Fri, 16 Feb 2018 12:31:35 GMT",
"version": "v1"
}
] | 2018-02-19 | [
[
"Baygin",
"Mehmet",
""
],
[
"Karakose",
"Mehmet",
""
],
[
"Sarimaden",
"Alisan",
""
],
[
"Akin",
"Erhan",
""
]
] | Machine vision applications are low cost and high precision measurement systems which are frequently used in production lines. With these systems that provide contactless control and measurement, production facilities are able to reach high production numbers without errors. Machine vision operations such as product co... |
1003.5635 | Ashley Smith | Fahad Al-Zahrani | Web-Based Learning and Training for Virtual Metrology Lab | null | Journal of Telecommunications,Volume 1, Issue 2, pp42-54, March
2010 | null | null | cs.OH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The use of World Web Wide for distance education has received increasing
attention over the past decades. The real challenge of adapting this technology
for engineering education and training is to facilitate the laboratory
experiments via Internet. In the sciences, measurement plays an important role.
The accuracy o... | [
{
"created": "Mon, 29 Mar 2010 18:35:08 GMT",
"version": "v1"
}
] | 2010-03-30 | [
[
"Al-Zahrani",
"Fahad",
""
]
] | The use of World Web Wide for distance education has received increasing attention over the past decades. The real challenge of adapting this technology for engineering education and training is to facilitate the laboratory experiments via Internet. In the sciences, measurement plays an important role. The accuracy of ... |
2207.08051 | Samar Khanna | Yezhen Cong, Samar Khanna, Chenlin Meng, Patrick Liu, Erik Rozi,
Yutong He, Marshall Burke, David B. Lobell, Stefano Ermon | SatMAE: Pre-training Transformers for Temporal and Multi-Spectral
Satellite Imagery | Published at NeurIPS 2022. The first two listed names contributed
equally to this project | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | Unsupervised pre-training methods for large vision models have shown to
enhance performance on downstream supervised tasks. Developing similar
techniques for satellite imagery presents significant opportunities as
unlabelled data is plentiful and the inherent temporal and multi-spectral
structure provides avenues to ... | [
{
"created": "Sun, 17 Jul 2022 01:35:29 GMT",
"version": "v1"
},
{
"created": "Thu, 20 Oct 2022 01:04:57 GMT",
"version": "v2"
},
{
"created": "Sun, 15 Jan 2023 19:27:57 GMT",
"version": "v3"
}
] | 2023-01-18 | [
[
"Cong",
"Yezhen",
""
],
[
"Khanna",
"Samar",
""
],
[
"Meng",
"Chenlin",
""
],
[
"Liu",
"Patrick",
""
],
[
"Rozi",
"Erik",
""
],
[
"He",
"Yutong",
""
],
[
"Burke",
"Marshall",
""
],
[
"Lobell",
"... | Unsupervised pre-training methods for large vision models have shown to enhance performance on downstream supervised tasks. Developing similar techniques for satellite imagery presents significant opportunities as unlabelled data is plentiful and the inherent temporal and multi-spectral structure provides avenues to fu... |
2406.07499 | Lue Fan | Lue Fan, Yuxue Yang, Minxing Li, Hongsheng Li and Zhaoxiang Zhang | Trim 3D Gaussian Splatting for Accurate Geometry Representation | Project page: https://trimgs.github.io/ | null | null | null | cs.CV cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we introduce Trim 3D Gaussian Splatting (TrimGS) to
reconstruct accurate 3D geometry from images. Previous arts for geometry
reconstruction from 3D Gaussians mainly focus on exploring strong geometry
regularization. Instead, from a fresh perspective, we propose to obtain
accurate 3D geometry of a scene... | [
{
"created": "Tue, 11 Jun 2024 17:34:46 GMT",
"version": "v1"
}
] | 2024-06-12 | [
[
"Fan",
"Lue",
""
],
[
"Yang",
"Yuxue",
""
],
[
"Li",
"Minxing",
""
],
[
"Li",
"Hongsheng",
""
],
[
"Zhang",
"Zhaoxiang",
""
]
] | In this paper, we introduce Trim 3D Gaussian Splatting (TrimGS) to reconstruct accurate 3D geometry from images. Previous arts for geometry reconstruction from 3D Gaussians mainly focus on exploring strong geometry regularization. Instead, from a fresh perspective, we propose to obtain accurate 3D geometry of a scene b... |
2103.02828 | David D. Fan | David D. Fan, Kyohei Otsu, Yuki Kubo, Anushri Dixit, Joel Burdick, and
Ali-Akbar Agha-Mohammadi | STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware
Off-road Navigation | Accepted to Robotics: Science and Systems (RSS) 2021. Video link:
https://youtu.be/N97cv4eH5c8 | null | null | null | cs.RO cs.AI cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Although ground robotic autonomy has gained widespread usage in structured
and controlled environments, autonomy in unknown and off-road terrain remains a
difficult problem. Extreme, off-road, and unstructured environments such as
undeveloped wilderness, caves, and rubble pose unique and challenging problems
for auto... | [
{
"created": "Thu, 4 Mar 2021 04:24:19 GMT",
"version": "v1"
},
{
"created": "Fri, 25 Jun 2021 19:45:43 GMT",
"version": "v2"
}
] | 2021-06-29 | [
[
"Fan",
"David D.",
""
],
[
"Otsu",
"Kyohei",
""
],
[
"Kubo",
"Yuki",
""
],
[
"Dixit",
"Anushri",
""
],
[
"Burdick",
"Joel",
""
],
[
"Agha-Mohammadi",
"Ali-Akbar",
""
]
] | Although ground robotic autonomy has gained widespread usage in structured and controlled environments, autonomy in unknown and off-road terrain remains a difficult problem. Extreme, off-road, and unstructured environments such as undeveloped wilderness, caves, and rubble pose unique and challenging problems for autono... |
1906.09732 | Amihood Amir | Amihood Amir and Itai Boneh | Dynamic Palindrome Detection | arXiv admin note: text overlap with arXiv:1806.02718 by other authors | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Lately, there is a growing interest in dynamic string matching problems.
Specifically, the dynamic Longest Common Factor problem has been researched and
some interesting results has been reached. In this paper we examine another
classic string problem in a dynamic setting - finding the longest palindrome
substring of... | [
{
"created": "Mon, 24 Jun 2019 05:33:41 GMT",
"version": "v1"
}
] | 2019-06-25 | [
[
"Amir",
"Amihood",
""
],
[
"Boneh",
"Itai",
""
]
] | Lately, there is a growing interest in dynamic string matching problems. Specifically, the dynamic Longest Common Factor problem has been researched and some interesting results has been reached. In this paper we examine another classic string problem in a dynamic setting - finding the longest palindrome substring of a... |
2405.12205 | Aniket Didolkar | Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, Siyuan Guo, Michal
Valko, Timothy Lillicrap, Danilo Rezende, Yoshua Bengio, Michael Mozer,
Sanjeev Arora | Metacognitive Capabilities of LLMs: An Exploration in Mathematical
Problem Solving | Preprint. Under review | null | null | null | cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Metacognitive knowledge refers to humans' intuitive knowledge of their own
thinking and reasoning processes. Today's best LLMs clearly possess some
reasoning processes. The paper gives evidence that they also have metacognitive
knowledge, including ability to name skills and procedures to apply given a
task. We explo... | [
{
"created": "Mon, 20 May 2024 17:45:26 GMT",
"version": "v1"
}
] | 2024-05-21 | [
[
"Didolkar",
"Aniket",
""
],
[
"Goyal",
"Anirudh",
""
],
[
"Ke",
"Nan Rosemary",
""
],
[
"Guo",
"Siyuan",
""
],
[
"Valko",
"Michal",
""
],
[
"Lillicrap",
"Timothy",
""
],
[
"Rezende",
"Danilo",
""
],
[
... | Metacognitive knowledge refers to humans' intuitive knowledge of their own thinking and reasoning processes. Today's best LLMs clearly possess some reasoning processes. The paper gives evidence that they also have metacognitive knowledge, including ability to name skills and procedures to apply given a task. We explore... |
1707.04304 | Charilaos Mylonas Mr. | Charilaos Mylonas, Valentin Bemetz and Eleni Chatzi | Multiscale Surrogate Modeling and Uncertainty Quantification for
Periodic Composite Structures | Appeared in UNCECOMP 2017 | null | null | null | cs.CE | http://creativecommons.org/licenses/by/4.0/ | Computational modeling of the structural behavior of continuous fiber
composite materials often takes into account the periodicity of the underlying
micro-structure. A well established method dealing with the structural behavior
of periodic micro-structures is the so- called Asymptotic Expansion
Homogenization (AEH).... | [
{
"created": "Tue, 11 Jul 2017 17:45:22 GMT",
"version": "v1"
}
] | 2017-07-17 | [
[
"Mylonas",
"Charilaos",
""
],
[
"Bemetz",
"Valentin",
""
],
[
"Chatzi",
"Eleni",
""
]
] | Computational modeling of the structural behavior of continuous fiber composite materials often takes into account the periodicity of the underlying micro-structure. A well established method dealing with the structural behavior of periodic micro-structures is the so- called Asymptotic Expansion Homogenization (AEH). B... |
1805.03151 | Davide Giacomo Cavezza | Davide G. Cavezza, Dalal Alrajeh, Andr\'as Gy\"orgy | A Weakness Measure for GR(1) Formulae | To appear in FM2018 proceedings | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In spite of the theoretical and algorithmic developments for system synthesis
in recent years, little effort has been dedicated to quantifying the quality of
the specifications used for synthesis. When dealing with unrealizable
specifications, finding the weakest environment assumptions that would ensure
realizabilit... | [
{
"created": "Tue, 8 May 2018 16:39:31 GMT",
"version": "v1"
}
] | 2018-05-09 | [
[
"Cavezza",
"Davide G.",
""
],
[
"Alrajeh",
"Dalal",
""
],
[
"György",
"András",
""
]
] | In spite of the theoretical and algorithmic developments for system synthesis in recent years, little effort has been dedicated to quantifying the quality of the specifications used for synthesis. When dealing with unrealizable specifications, finding the weakest environment assumptions that would ensure realizability ... |
2308.01471 | Ben Agro | Ben Agro, Quinlan Sykora, Sergio Casas, Raquel Urtasun | Implicit Occupancy Flow Fields for Perception and Prediction in
Self-Driving | 19 pages, 13 figures | Proceedings of the IEEE/CVF Conference on Computer Vision and
Pattern Recognition (CVPR), 2023, pp. 1379-1388 | null | null | cs.CV cs.AI cs.LG cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A self-driving vehicle (SDV) must be able to perceive its surroundings and
predict the future behavior of other traffic participants. Existing works
either perform object detection followed by trajectory forecasting of the
detected objects, or predict dense occupancy and flow grids for the whole
scene. The former pos... | [
{
"created": "Wed, 2 Aug 2023 23:39:24 GMT",
"version": "v1"
}
] | 2023-08-04 | [
[
"Agro",
"Ben",
""
],
[
"Sykora",
"Quinlan",
""
],
[
"Casas",
"Sergio",
""
],
[
"Urtasun",
"Raquel",
""
]
] | A self-driving vehicle (SDV) must be able to perceive its surroundings and predict the future behavior of other traffic participants. Existing works either perform object detection followed by trajectory forecasting of the detected objects, or predict dense occupancy and flow grids for the whole scene. The former poses... |
2302.13941 | Noah Klarmann | Deepak Vivekanandan, Samuel Wirth, Patrick Karlbauer, Noah Klarmann | A Reinforcement Learning Approach for Scheduling Problems With Improved
Generalization Through Order Swapping | null | null | null | null | cs.AI cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The scheduling of production resources (such as associating jobs to machines)
plays a vital role for the manufacturing industry not only for saving energy
but also for increasing the overall efficiency. Among the different job
scheduling problems, the JSSP is addressed in this work. JSSP falls into the
category of NP... | [
{
"created": "Mon, 27 Feb 2023 16:45:04 GMT",
"version": "v1"
},
{
"created": "Mon, 6 Mar 2023 14:44:40 GMT",
"version": "v2"
}
] | 2023-03-07 | [
[
"Vivekanandan",
"Deepak",
""
],
[
"Wirth",
"Samuel",
""
],
[
"Karlbauer",
"Patrick",
""
],
[
"Klarmann",
"Noah",
""
]
] | The scheduling of production resources (such as associating jobs to machines) plays a vital role for the manufacturing industry not only for saving energy but also for increasing the overall efficiency. Among the different job scheduling problems, the JSSP is addressed in this work. JSSP falls into the category of NP-h... |
2408.00106 | Xudong Xie | Xudong Xie, Yuzhe Li, Yang Liu, Zhifei Zhang, Zhaowen Wang, Wei Xiong,
Xiang Bai | WAS: Dataset and Methods for Artistic Text Segmentation | Accepted by ECCV 2024 | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Accurate text segmentation results are crucial for text-related generative
tasks, such as text image generation, text editing, text removal, and text
style transfer. Recently, some scene text segmentation methods have made
significant progress in segmenting regular text. However, these methods perform
poorly in scena... | [
{
"created": "Wed, 31 Jul 2024 18:29:36 GMT",
"version": "v1"
}
] | 2024-08-02 | [
[
"Xie",
"Xudong",
""
],
[
"Li",
"Yuzhe",
""
],
[
"Liu",
"Yang",
""
],
[
"Zhang",
"Zhifei",
""
],
[
"Wang",
"Zhaowen",
""
],
[
"Xiong",
"Wei",
""
],
[
"Bai",
"Xiang",
""
]
] | Accurate text segmentation results are crucial for text-related generative tasks, such as text image generation, text editing, text removal, and text style transfer. Recently, some scene text segmentation methods have made significant progress in segmenting regular text. However, these methods perform poorly in scenari... |
1810.04118 | Mehdi Mohammadi | Mehdi Mohammadi, Ala Al-Fuqaha, Mohsen Guizani, Jun-Seok Oh | Semi-supervised Deep Reinforcement Learning in Support of IoT and Smart
City Services | 11 pages, 7 figures. Accepted for publication in IEEE Internet of
Things Journal | IEEE Internet of Things Journal, Volume 5, Issue 2, 2018 | 10.1109/JIOT.2017.2712560 | null | cs.NI cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Smart services are an important element of the smart cities and the Internet
of Things (IoT) ecosystems where the intelligence behind the services is
obtained and improved through the sensory data. Providing a large amount of
training data is not always feasible; therefore, we need to consider
alternative ways that i... | [
{
"created": "Tue, 9 Oct 2018 16:47:25 GMT",
"version": "v1"
}
] | 2018-10-10 | [
[
"Mohammadi",
"Mehdi",
""
],
[
"Al-Fuqaha",
"Ala",
""
],
[
"Guizani",
"Mohsen",
""
],
[
"Oh",
"Jun-Seok",
""
]
] | Smart services are an important element of the smart cities and the Internet of Things (IoT) ecosystems where the intelligence behind the services is obtained and improved through the sensory data. Providing a large amount of training data is not always feasible; therefore, we need to consider alternative ways that inc... |
1407.7143 | Tanmay Sinha | Tanmay Sinha | "Your click decides your fate": Leveraging clickstream patterns from
MOOC videos to infer students' information processing & attrition behavior | Undergraduate (B.Tech, Computer Science) Thesis Report, 2014, Vellore
Institute of Technology, India | null | null | null | cs.HC cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With an expansive and ubiquitously available gold mine of educational data,
Massive Open Online courses (MOOCs) have become the an important foci of
learning analytics research. The hope is that this new surge of development
will bring the vision of equitable access to lifelong learning opportunities
within practical... | [
{
"created": "Sat, 26 Jul 2014 17:53:58 GMT",
"version": "v1"
}
] | 2014-07-29 | [
[
"Sinha",
"Tanmay",
""
]
] | With an expansive and ubiquitously available gold mine of educational data, Massive Open Online courses (MOOCs) have become the an important foci of learning analytics research. The hope is that this new surge of development will bring the vision of equitable access to lifelong learning opportunities within practical r... |
2406.15163 | Muhammad Imran | Muhammad Imran, Olga Kellert, Carlos G\'omez-Rodr\'iguez | A Syntax-Injected Approach for Faster and More Accurate Sentiment
Analysis | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Sentiment Analysis (SA) is a crucial aspect of Natural Language Processing
(NLP), addressing subjective assessments in textual content. Syntactic parsing
is useful in SA because explicit syntactic information can improve accuracy
while providing explainability, but it tends to be a computational bottleneck
in practic... | [
{
"created": "Fri, 21 Jun 2024 14:08:25 GMT",
"version": "v1"
}
] | 2024-06-24 | [
[
"Imran",
"Muhammad",
""
],
[
"Kellert",
"Olga",
""
],
[
"Gómez-Rodríguez",
"Carlos",
""
]
] | Sentiment Analysis (SA) is a crucial aspect of Natural Language Processing (NLP), addressing subjective assessments in textual content. Syntactic parsing is useful in SA because explicit syntactic information can improve accuracy while providing explainability, but it tends to be a computational bottleneck in practice ... |
2112.06300 | Zachary Ferguson | David Belgrod, Bolun Wang, Zachary Ferguson, Xin Zhao, Marco Attene,
Daniele Panozzo, Teseo Schneider | Time of Impact Dataset for Continuous Collision Detection and a Scalable
Conservative Algorithm | null | null | null | null | cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a large-scale benchmark for broad- and narrow-phase continuous
collision detection (CCD) over linearized trajectories with exact time of
impacts and use it to evaluate the accuracy, correctness, and efficiency of 13
state-of-the-art CCD algorithms. Our analysis shows that several methods
exhibit problems... | [
{
"created": "Sun, 12 Dec 2021 18:47:55 GMT",
"version": "v1"
},
{
"created": "Tue, 1 Feb 2022 00:45:48 GMT",
"version": "v2"
},
{
"created": "Mon, 22 Aug 2022 21:56:18 GMT",
"version": "v3"
},
{
"created": "Sun, 13 Aug 2023 08:02:00 GMT",
"version": "v4"
}
] | 2023-08-15 | [
[
"Belgrod",
"David",
""
],
[
"Wang",
"Bolun",
""
],
[
"Ferguson",
"Zachary",
""
],
[
"Zhao",
"Xin",
""
],
[
"Attene",
"Marco",
""
],
[
"Panozzo",
"Daniele",
""
],
[
"Schneider",
"Teseo",
""
]
] | We introduce a large-scale benchmark for broad- and narrow-phase continuous collision detection (CCD) over linearized trajectories with exact time of impacts and use it to evaluate the accuracy, correctness, and efficiency of 13 state-of-the-art CCD algorithms. Our analysis shows that several methods exhibit problems e... |
2304.03893 | Naoki Wake | Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi, Jun Takamatsu,
Katsushi Ikeuchi | ChatGPT Empowered Long-Step Robot Control in Various Environments: A
Case Application | 21 figures, 7 tables. Published in IEEE Access (in press). Last
updated August 29th, 2023 | null | 10.1109/ACCESS.2023.3310935 | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper demonstrates how OpenAI's ChatGPT can be used in a few-shot
setting to convert natural language instructions into a sequence of executable
robot actions. The paper proposes easy-to-customize input prompts for ChatGPT
that meet common requirements in practical applications, such as easy
integration with rob... | [
{
"created": "Sat, 8 Apr 2023 02:41:40 GMT",
"version": "v1"
},
{
"created": "Tue, 11 Apr 2023 14:29:41 GMT",
"version": "v2"
},
{
"created": "Tue, 18 Apr 2023 03:18:42 GMT",
"version": "v3"
},
{
"created": "Mon, 3 Jul 2023 12:04:21 GMT",
"version": "v4"
},
{
"cre... | 2023-08-31 | [
[
"Wake",
"Naoki",
""
],
[
"Kanehira",
"Atsushi",
""
],
[
"Sasabuchi",
"Kazuhiro",
""
],
[
"Takamatsu",
"Jun",
""
],
[
"Ikeuchi",
"Katsushi",
""
]
] | This paper demonstrates how OpenAI's ChatGPT can be used in a few-shot setting to convert natural language instructions into a sequence of executable robot actions. The paper proposes easy-to-customize input prompts for ChatGPT that meet common requirements in practical applications, such as easy integration with robot... |
2403.10327 | Rouzbeh Behnia | Varol Kayhan, Shivendu Shivendu, Rouzbeh Behnia, Clinton Daniel,
Manish Agrawal | Unsupervised Threat Hunting using Continuous Bag-of-Terms-and-Time
(CBoTT) | null | null | null | null | cs.CR cs.AI | http://creativecommons.org/licenses/by/4.0/ | Threat hunting is sifting through system logs to detect malicious activities
that might have bypassed existing security measures. It can be performed in
several ways, one of which is based on detecting anomalies. We propose an
unsupervised framework, called continuous bag-of-terms-and-time (CBoTT), and
publish its ap... | [
{
"created": "Fri, 15 Mar 2024 14:16:10 GMT",
"version": "v1"
}
] | 2024-03-18 | [
[
"Kayhan",
"Varol",
""
],
[
"Shivendu",
"Shivendu",
""
],
[
"Behnia",
"Rouzbeh",
""
],
[
"Daniel",
"Clinton",
""
],
[
"Agrawal",
"Manish",
""
]
] | Threat hunting is sifting through system logs to detect malicious activities that might have bypassed existing security measures. It can be performed in several ways, one of which is based on detecting anomalies. We propose an unsupervised framework, called continuous bag-of-terms-and-time (CBoTT), and publish its appl... |
1803.07640 | Matt Gardner | Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi,
Nelson Liu, Matthew Peters, Michael Schmitz, Luke Zettlemoyer | AllenNLP: A Deep Semantic Natural Language Processing Platform | Describes the initial version of AllenNLP. Many features and models
have been added since the first release. This is the paper to cite if you use
AllenNLP in your research. Updated 5/31/2018 with version accepted to the NLP
OSS workshop help at ACL 2018 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper describes AllenNLP, a platform for research on deep learning
methods in natural language understanding. AllenNLP is designed to support
researchers who want to build novel language understanding models quickly and
easily. It is built on top of PyTorch, allowing for dynamic computation graphs,
and provides ... | [
{
"created": "Tue, 20 Mar 2018 20:32:07 GMT",
"version": "v1"
},
{
"created": "Thu, 31 May 2018 17:56:14 GMT",
"version": "v2"
}
] | 2018-06-01 | [
[
"Gardner",
"Matt",
""
],
[
"Grus",
"Joel",
""
],
[
"Neumann",
"Mark",
""
],
[
"Tafjord",
"Oyvind",
""
],
[
"Dasigi",
"Pradeep",
""
],
[
"Liu",
"Nelson",
""
],
[
"Peters",
"Matthew",
""
],
[
"Schmitz... | This paper describes AllenNLP, a platform for research on deep learning methods in natural language understanding. AllenNLP is designed to support researchers who want to build novel language understanding models quickly and easily. It is built on top of PyTorch, allowing for dynamic computation graphs, and provides (1... |
2305.04867 | Mithun Bairagi Ph.D. | Mithun Bairagi | A New Algorithm to determine Adomian Polynomials for nonlinear
polynomial functions | null | Asian Research Journal of Mathematics, Volume 19, Issue 7, Page
1-12, 2023 | 10.9734/arjom/2023/v19i7670 | null | cs.CE | http://creativecommons.org/licenses/by/4.0/ | We present a new algorithm by which the Adomian polynomials can be determined
for scalar-valued nonlinear polynomial functional in a Hilbert space. This
algorithm calculates the Adomian polynomials without the complicated operations
such as parametrization, expansion, regrouping, differentiation, etc. The
algorithm i... | [
{
"created": "Tue, 11 Apr 2023 15:05:20 GMT",
"version": "v1"
}
] | 2023-05-09 | [
[
"Bairagi",
"Mithun",
""
]
] | We present a new algorithm by which the Adomian polynomials can be determined for scalar-valued nonlinear polynomial functional in a Hilbert space. This algorithm calculates the Adomian polynomials without the complicated operations such as parametrization, expansion, regrouping, differentiation, etc. The algorithm inv... |
2310.13625 | Lennart Heim | Janet Egan and Lennart Heim | Oversight for Frontier AI through a Know-Your-Customer Scheme for
Compute Providers | null | null | null | null | cs.CY | http://creativecommons.org/licenses/by/4.0/ | To address security and safety risks stemming from highly capable artificial
intelligence (AI) models, we propose that the US government should ensure
compute providers implement Know-Your-Customer (KYC) schemes. Compute - the
computational power and infrastructure required to train and run these AI
models - is emerg... | [
{
"created": "Fri, 20 Oct 2023 16:17:29 GMT",
"version": "v1"
}
] | 2023-10-23 | [
[
"Egan",
"Janet",
""
],
[
"Heim",
"Lennart",
""
]
] | To address security and safety risks stemming from highly capable artificial intelligence (AI) models, we propose that the US government should ensure compute providers implement Know-Your-Customer (KYC) schemes. Compute - the computational power and infrastructure required to train and run these AI models - is emergin... |
1904.06217 | Ines Rehbein | Federico Nanni, Goran Glavas, Ines Rehbein, Simone Paolo Ponzetto,
Heiner Stuckenschmidt | Political Text Scaling Meets Computational Semantics | Updated version - accepted for Transactions on Data Science (TDS) | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | During the last fifteen years, automatic text scaling has become one of the
key tools of the Text as Data community in political science. Prominent text
scaling algorithms, however, rely on the assumption that latent positions can
be captured just by leveraging the information about word frequencies in
documents unde... | [
{
"created": "Fri, 12 Apr 2019 13:05:06 GMT",
"version": "v1"
},
{
"created": "Wed, 8 May 2019 12:23:22 GMT",
"version": "v2"
},
{
"created": "Thu, 14 Oct 2021 12:20:04 GMT",
"version": "v3"
}
] | 2021-10-15 | [
[
"Nanni",
"Federico",
""
],
[
"Glavas",
"Goran",
""
],
[
"Rehbein",
"Ines",
""
],
[
"Ponzetto",
"Simone Paolo",
""
],
[
"Stuckenschmidt",
"Heiner",
""
]
] | During the last fifteen years, automatic text scaling has become one of the key tools of the Text as Data community in political science. Prominent text scaling algorithms, however, rely on the assumption that latent positions can be captured just by leveraging the information about word frequencies in documents under ... |
1906.07077 | Felix Assion | Felix Assion, Peter Schlicht, Florens Gre{\ss}ner, Wiebke G\"unther,
Fabian H\"uger, Nico Schmidt, Umair Rasheed | The Attack Generator: A Systematic Approach Towards Constructing
Adversarial Attacks | CVPR SAIAD - Workshop 2019 | null | null | null | cs.LG cs.CR stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most state-of-the-art machine learning (ML) classification systems are
vulnerable to adversarial perturbations. As a consequence, adversarial
robustness poses a significant challenge for the deployment of ML-based systems
in safety- and security-critical environments like autonomous driving, disease
detection or unma... | [
{
"created": "Mon, 17 Jun 2019 15:06:47 GMT",
"version": "v1"
}
] | 2019-06-18 | [
[
"Assion",
"Felix",
""
],
[
"Schlicht",
"Peter",
""
],
[
"Greßner",
"Florens",
""
],
[
"Günther",
"Wiebke",
""
],
[
"Hüger",
"Fabian",
""
],
[
"Schmidt",
"Nico",
""
],
[
"Rasheed",
"Umair",
""
]
] | Most state-of-the-art machine learning (ML) classification systems are vulnerable to adversarial perturbations. As a consequence, adversarial robustness poses a significant challenge for the deployment of ML-based systems in safety- and security-critical environments like autonomous driving, disease detection or unmann... |
1610.04161 | Shiyu Liang | Shiyu Liang and R. Srikant | Why Deep Neural Networks for Function Approximation? | The paper is published at the 5th International Conference on
Learning Representations (ICLR) | null | null | null | cs.LG cs.NE | http://creativecommons.org/publicdomain/zero/1.0/ | Recently there has been much interest in understanding why deep neural
networks are preferred to shallow networks. We show that, for a large class of
piecewise smooth functions, the number of neurons needed by a shallow network
to approximate a function is exponentially larger than the corresponding number
of neurons... | [
{
"created": "Thu, 13 Oct 2016 16:34:30 GMT",
"version": "v1"
},
{
"created": "Fri, 3 Mar 2017 20:43:04 GMT",
"version": "v2"
}
] | 2017-03-07 | [
[
"Liang",
"Shiyu",
""
],
[
"Srikant",
"R.",
""
]
] | Recently there has been much interest in understanding why deep neural networks are preferred to shallow networks. We show that, for a large class of piecewise smooth functions, the number of neurons needed by a shallow network to approximate a function is exponentially larger than the corresponding number of neurons n... |
1004.0383 | Ali Tajer | Ali Tajer and Xiaodong Wang | Multiuser Diversity Gain in Cognitive Networks | 32 pages, 3 figures, to appear in the IEEE/ACM Transactions on
Networking | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Dynamic allocation of resources to the \emph{best} link in large multiuser
networks offers considerable improvement in spectral efficiency. This gain,
often referred to as \emph{multiuser diversity gain}, can be cast as
double-logarithmic growth of the network throughput with the number of users.
In this paper we con... | [
{
"created": "Fri, 2 Apr 2010 19:58:11 GMT",
"version": "v1"
},
{
"created": "Fri, 16 Apr 2010 14:25:46 GMT",
"version": "v2"
}
] | 2010-04-19 | [
[
"Tajer",
"Ali",
""
],
[
"Wang",
"Xiaodong",
""
]
] | Dynamic allocation of resources to the \emph{best} link in large multiuser networks offers considerable improvement in spectral efficiency. This gain, often referred to as \emph{multiuser diversity gain}, can be cast as double-logarithmic growth of the network throughput with the number of users. In this paper we consi... |
1605.09486 | Chenglei Wu | Chenglei Wu, Zhi Wang, Shiqiang Yang | Drone Streaming with Wi-Fi Grid Aggregation for Virtual Tour | null | null | null | null | cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | To provide a live, active and high-quality virtual touring streaming
experience, we propose an unmanned drone stereoscopic streaming paradigm using
a control and streaming infrastructure of a 2.4GHz Wi-Fi grid. Our system
allows users to actively control the streaming captured by a drone, receive and
watch the stream... | [
{
"created": "Tue, 31 May 2016 03:59:03 GMT",
"version": "v1"
}
] | 2016-06-01 | [
[
"Wu",
"Chenglei",
""
],
[
"Wang",
"Zhi",
""
],
[
"Yang",
"Shiqiang",
""
]
] | To provide a live, active and high-quality virtual touring streaming experience, we propose an unmanned drone stereoscopic streaming paradigm using a control and streaming infrastructure of a 2.4GHz Wi-Fi grid. Our system allows users to actively control the streaming captured by a drone, receive and watch the streamin... |
1811.07493 | Gurjeet Singh | Gurjeet Singh, Sun Miao, Shi Shi and Patrick Chiang | FotonNet: A HW-Efficient Object Detection System Using 3D-Depth
Segmentation and 2D-DNN Classifier | 7 pages, 10 figures, 2 tables | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Object detection and classification is one of the most important computer
vision problems. Ever since the introduction of deep learning
\cite{krizhevsky2012imagenet}, we have witnessed a dramatic increase in the
accuracy of this object detection problem. However, most of these improvements
have occurred using convent... | [
{
"created": "Mon, 19 Nov 2018 04:31:29 GMT",
"version": "v1"
}
] | 2018-11-20 | [
[
"Singh",
"Gurjeet",
""
],
[
"Miao",
"Sun",
""
],
[
"Shi",
"Shi",
""
],
[
"Chiang",
"Patrick",
""
]
] | Object detection and classification is one of the most important computer vision problems. Ever since the introduction of deep learning \cite{krizhevsky2012imagenet}, we have witnessed a dramatic increase in the accuracy of this object detection problem. However, most of these improvements have occurred using conventio... |
2405.15767 | Atsushi Nitanda | Atsushi Nitanda | Improved Particle Approximation Error for Mean Field Neural Networks | 16 pages | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Mean-field Langevin dynamics (MFLD) minimizes an entropy-regularized
nonlinear convex functional defined over the space of probability
distributions. MFLD has gained attention due to its connection with noisy
gradient descent for mean-field two-layer neural networks. Unlike standard
Langevin dynamics, the nonlinearit... | [
{
"created": "Fri, 24 May 2024 17:59:06 GMT",
"version": "v1"
},
{
"created": "Fri, 14 Jun 2024 13:20:06 GMT",
"version": "v2"
}
] | 2024-06-17 | [
[
"Nitanda",
"Atsushi",
""
]
] | Mean-field Langevin dynamics (MFLD) minimizes an entropy-regularized nonlinear convex functional defined over the space of probability distributions. MFLD has gained attention due to its connection with noisy gradient descent for mean-field two-layer neural networks. Unlike standard Langevin dynamics, the nonlinearity ... |
2102.07127 | Samrat Kumar Dey | Md. Mahbubur Rahman, Akash Poddar, Md. Golam Rabiul Alam, and Samrat
Kumar Dey | Affective State Recognition through EEG Signals Feature Level Fusion and
Ensemble Classifier | 18 pages, 7 figures | null | null | null | cs.HC | http://creativecommons.org/licenses/by-sa/4.0/ | Human affects are complex paradox and an active research domain in affective
computing. Affects are traditionally determined through a self-report based
psychometric questionnaire or through facial expression recognition. However,
few state-of-the-arts pieces of research have shown the possibilities of
recognizing hu... | [
{
"created": "Sun, 14 Feb 2021 10:56:08 GMT",
"version": "v1"
}
] | 2021-02-16 | [
[
"Rahman",
"Md. Mahbubur",
""
],
[
"Poddar",
"Akash",
""
],
[
"Alam",
"Md. Golam Rabiul",
""
],
[
"Dey",
"Samrat Kumar",
""
]
] | Human affects are complex paradox and an active research domain in affective computing. Affects are traditionally determined through a self-report based psychometric questionnaire or through facial expression recognition. However, few state-of-the-arts pieces of research have shown the possibilities of recognizing huma... |
2208.12561 | Komal Pathade | Komal Pathade and Uday Khedker | Computing Maximum Fixed Point Solutions over Feasible Paths in Data Flow
Analyses | 68 pages, 22 figures | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | The control flow graph (CFG) representation of a procedure used by virtually
all flow-sensitive program analyses, admits a large number of infeasible
control flow paths i.e., these paths do not occur in any execution of the
program. Hence the information reaching along infeasible paths in an analysis
is spurious. Thi... | [
{
"created": "Fri, 26 Aug 2022 10:12:27 GMT",
"version": "v1"
}
] | 2022-08-29 | [
[
"Pathade",
"Komal",
""
],
[
"Khedker",
"Uday",
""
]
] | The control flow graph (CFG) representation of a procedure used by virtually all flow-sensitive program analyses, admits a large number of infeasible control flow paths i.e., these paths do not occur in any execution of the program. Hence the information reaching along infeasible paths in an analysis is spurious. This ... |
1710.09490 | Chuhang Zou | Chuhang Zou, Ruiqi Guo, Zhizhong Li, Derek Hoiem | Complete 3D Scene Parsing from an RGBD Image | Accepted to International Journal of Computer Vision (IJCV), 2018
arXiv admin note: text overlap with arXiv:1504.02437 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | One major goal of vision is to infer physical models of objects, surfaces,
and their layout from sensors. In this paper, we aim to interpret indoor scenes
from one RGBD image. Our representation encodes the layout of orthogonal walls
and the extent of objects, modeled with CAD-like 3D shapes. We parse both the
visibl... | [
{
"created": "Wed, 25 Oct 2017 23:04:14 GMT",
"version": "v1"
},
{
"created": "Tue, 13 Nov 2018 18:05:14 GMT",
"version": "v2"
}
] | 2018-11-15 | [
[
"Zou",
"Chuhang",
""
],
[
"Guo",
"Ruiqi",
""
],
[
"Li",
"Zhizhong",
""
],
[
"Hoiem",
"Derek",
""
]
] | One major goal of vision is to infer physical models of objects, surfaces, and their layout from sensors. In this paper, we aim to interpret indoor scenes from one RGBD image. Our representation encodes the layout of orthogonal walls and the extent of objects, modeled with CAD-like 3D shapes. We parse both the visible ... |
1907.12223 | Haisheng Su | Haisheng Su and Xu Zhao and Shuming Liu | Multi-Granularity Fusion Network for Proposal and Activity Localization:
Submission to ActivityNet Challenge 2019 Task 1 and Task 2 | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This technical report presents an overview of our solution used in the
submission to ActivityNet Challenge 2019 Task 1 (\textbf{temporal action
proposal generation}) and Task 2 (\textbf{temporal action
localization/detection}). Temporal action proposal indicates the temporal
intervals containing the actions and plays... | [
{
"created": "Mon, 29 Jul 2019 06:10:51 GMT",
"version": "v1"
}
] | 2019-07-30 | [
[
"Su",
"Haisheng",
""
],
[
"Zhao",
"Xu",
""
],
[
"Liu",
"Shuming",
""
]
] | This technical report presents an overview of our solution used in the submission to ActivityNet Challenge 2019 Task 1 (\textbf{temporal action proposal generation}) and Task 2 (\textbf{temporal action localization/detection}). Temporal action proposal indicates the temporal intervals containing the actions and plays a... |
2302.05675 | Chung-Ju Huang | Chung-ju Huang and Leye Wang and Xiao Han | Vertical Federated Knowledge Transfer via Representation Distillation
for Healthcare Collaboration Networks | null | null | 10.1145/3543507.3583874 | null | cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | Collaboration between healthcare institutions can significantly lessen the
imbalance in medical resources across various geographic areas. However,
directly sharing diagnostic information between institutions is typically not
permitted due to the protection of patients' highly sensitive privacy. As a
novel privacy-pr... | [
{
"created": "Sat, 11 Feb 2023 12:15:37 GMT",
"version": "v1"
}
] | 2023-02-14 | [
[
"Huang",
"Chung-ju",
""
],
[
"Wang",
"Leye",
""
],
[
"Han",
"Xiao",
""
]
] | Collaboration between healthcare institutions can significantly lessen the imbalance in medical resources across various geographic areas. However, directly sharing diagnostic information between institutions is typically not permitted due to the protection of patients' highly sensitive privacy. As a novel privacy-pres... |
2012.02590 | Ryan Krueger | Ryan Krueger, Jesse Michael Han and Daniel Selsam | Automatically Building Diagrams for Olympiad Geometry Problems | null | null | null | null | cs.CG cs.MS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a method for automatically building diagrams for olympiad-level
geometry problems and implement our approach in a new open-source software
tool, the Geometry Model Builder (GMB). Central to our method is a new
domain-specific language, the Geometry Model-Building Language (GMBL), for
specifying geometry pr... | [
{
"created": "Tue, 1 Dec 2020 05:56:25 GMT",
"version": "v1"
},
{
"created": "Sat, 1 May 2021 00:41:22 GMT",
"version": "v2"
}
] | 2021-05-04 | [
[
"Krueger",
"Ryan",
""
],
[
"Han",
"Jesse Michael",
""
],
[
"Selsam",
"Daniel",
""
]
] | We present a method for automatically building diagrams for olympiad-level geometry problems and implement our approach in a new open-source software tool, the Geometry Model Builder (GMB). Central to our method is a new domain-specific language, the Geometry Model-Building Language (GMBL), for specifying geometry prob... |
2312.17106 | Olivier Moliner | Olivier Moliner, Sangxia Huang and Kalle {\AA}str\"om | Geometry-Biased Transformer for Robust Multi-View 3D Human Pose
Reconstruction | Accepted: 18th IEEE International Conference on Automatic Face and
Gesture Recognition (FG 2024) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We address the challenges in estimating 3D human poses from multiple views
under occlusion and with limited overlapping views. We approach multi-view,
single-person 3D human pose reconstruction as a regression problem and propose
a novel encoder-decoder Transformer architecture to estimate 3D poses from
multi-view 2D... | [
{
"created": "Thu, 28 Dec 2023 16:30:05 GMT",
"version": "v1"
}
] | 2023-12-29 | [
[
"Moliner",
"Olivier",
""
],
[
"Huang",
"Sangxia",
""
],
[
"Åström",
"Kalle",
""
]
] | We address the challenges in estimating 3D human poses from multiple views under occlusion and with limited overlapping views. We approach multi-view, single-person 3D human pose reconstruction as a regression problem and propose a novel encoder-decoder Transformer architecture to estimate 3D poses from multi-view 2D p... |
1110.4278 | Marina Sokol | Konstantin Avrachenkov (INRIA Sophia Antipolis), Paulo Gon\c{c}alves
(LIP), Alexey Mishenin, Marina Sokol (INRIA Sophia Antipolis) | Generalized Optimization Framework for Graph-based Semi-supervised
Learning | null | null | null | RR-7774 | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We develop a generalized optimization framework for graph-based
semi-supervised learning. The framework gives as particular cases the Standard
Laplacian, Normalized Laplacian and PageRank based methods. We have also
provided new probabilistic interpretation based on random walks and
characterized the limiting behavio... | [
{
"created": "Wed, 19 Oct 2011 13:29:32 GMT",
"version": "v1"
}
] | 2011-10-20 | [
[
"Avrachenkov",
"Konstantin",
"",
"INRIA Sophia Antipolis"
],
[
"Gonçalves",
"Paulo",
"",
"LIP"
],
[
"Mishenin",
"Alexey",
"",
"INRIA Sophia Antipolis"
],
[
"Sokol",
"Marina",
"",
"INRIA Sophia Antipolis"
]
] | We develop a generalized optimization framework for graph-based semi-supervised learning. The framework gives as particular cases the Standard Laplacian, Normalized Laplacian and PageRank based methods. We have also provided new probabilistic interpretation based on random walks and characterized the limiting behaviour... |
2205.00668 | Sayed Kamaledin Ghiasi-Shirazi | Sayed Kamaledin Ghiasi-Shirazi | Revisiting Classical Multiclass Linear Discriminant Analysis with a
Novel Prototype-based Interpretable Solution | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Linear discriminant analysis (LDA) is a fundamental method for feature
extraction and dimensionality reduction. Despite having many variants,
classical LDA has its own importance, as it is a keystone in human knowledge
about statistical pattern recognition. For a dataset containing C clusters, the
classical solution ... | [
{
"created": "Mon, 2 May 2022 06:12:42 GMT",
"version": "v1"
},
{
"created": "Fri, 30 Sep 2022 07:45:25 GMT",
"version": "v2"
}
] | 2022-10-03 | [
[
"Ghiasi-Shirazi",
"Sayed Kamaledin",
""
]
] | Linear discriminant analysis (LDA) is a fundamental method for feature extraction and dimensionality reduction. Despite having many variants, classical LDA has its own importance, as it is a keystone in human knowledge about statistical pattern recognition. For a dataset containing C clusters, the classical solution to... |
1206.5162 | James Hensman | James Hensman, Magnus Rattray and Neil D. Lawrence | Fast Variational Inference in the Conjugate Exponential Family | Accepted at NIPS 2012 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a general method for deriving collapsed variational inference
algo- rithms for probabilistic models in the conjugate exponential family. Our
method unifies many existing approaches to collapsed variational inference. Our
collapsed variational inference leads to a new lower bound on the marginal
likelihood.... | [
{
"created": "Fri, 22 Jun 2012 14:36:15 GMT",
"version": "v1"
},
{
"created": "Tue, 4 Dec 2012 19:35:34 GMT",
"version": "v2"
}
] | 2012-12-05 | [
[
"Hensman",
"James",
""
],
[
"Rattray",
"Magnus",
""
],
[
"Lawrence",
"Neil D.",
""
]
] | We present a general method for deriving collapsed variational inference algo- rithms for probabilistic models in the conjugate exponential family. Our method unifies many existing approaches to collapsed variational inference. Our collapsed variational inference leads to a new lower bound on the marginal likelihood. W... |
2001.08096 | Shaoshan Liu | Bai Li, Shaoshan Liu, Jie Tang, Jean-Luc Gaudiot, Liangliang Zhang, Qi
Kong | Autonomous Last-mile Delivery Vehicles in Complex Traffic Environments | 6 pages 6 figures, submitted to IEEE Computer | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | E-commerce has evolved with the digital technology revolution over the years.
Last-mile logistics service contributes a significant part of the e-commerce
experience. In contrast to the traditional last-mile logistics services, smart
logistics service with autonomous driving technologies provides a promising
solution... | [
{
"created": "Wed, 22 Jan 2020 16:00:31 GMT",
"version": "v1"
},
{
"created": "Wed, 25 Mar 2020 13:16:56 GMT",
"version": "v2"
}
] | 2020-03-26 | [
[
"Li",
"Bai",
""
],
[
"Liu",
"Shaoshan",
""
],
[
"Tang",
"Jie",
""
],
[
"Gaudiot",
"Jean-Luc",
""
],
[
"Zhang",
"Liangliang",
""
],
[
"Kong",
"Qi",
""
]
] | E-commerce has evolved with the digital technology revolution over the years. Last-mile logistics service contributes a significant part of the e-commerce experience. In contrast to the traditional last-mile logistics services, smart logistics service with autonomous driving technologies provides a promising solution t... |
1907.11710 | Seemanta Saha | Seemanta Saha, Ismet Burak Kadron, William Eiers, Lucas Bang, and
Tevfik Bultan | Attack Synthesis for Strings using Meta-Heuristics | arXiv admin note: substantial text overlap with arXiv:1905.05322 | null | null | null | cs.SE cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Information leaks are a significant problem in modern computer systems and
string manipulation is prevalent in modern software. We present techniques for
automated synthesis of side-channel attacks that recover secret string values
based on timing observations on string manipulating code. Our attack synthesis
techniq... | [
{
"created": "Fri, 26 Jul 2019 07:48:40 GMT",
"version": "v1"
}
] | 2019-07-30 | [
[
"Saha",
"Seemanta",
""
],
[
"Kadron",
"Ismet Burak",
""
],
[
"Eiers",
"William",
""
],
[
"Bang",
"Lucas",
""
],
[
"Bultan",
"Tevfik",
""
]
] | Information leaks are a significant problem in modern computer systems and string manipulation is prevalent in modern software. We present techniques for automated synthesis of side-channel attacks that recover secret string values based on timing observations on string manipulating code. Our attack synthesis technique... |
2311.14337 | Zimian Wei | Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Zhiliang Tian, Xin
Niu, Dongsheng Li | TVT: Training-Free Vision Transformer Search on Tiny Datasets | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Training-free Vision Transformer (ViT) architecture search is presented to
search for a better ViT with zero-cost proxies. While ViTs achieve significant
distillation gains from CNN teacher models on small datasets, the current
zero-cost proxies in ViTs do not generalize well to the distillation training
paradigm acc... | [
{
"created": "Fri, 24 Nov 2023 08:24:31 GMT",
"version": "v1"
}
] | 2023-11-27 | [
[
"Wei",
"Zimian",
""
],
[
"Pan",
"Hengyue",
""
],
[
"Li",
"Lujun",
""
],
[
"Dong",
"Peijie",
""
],
[
"Tian",
"Zhiliang",
""
],
[
"Niu",
"Xin",
""
],
[
"Li",
"Dongsheng",
""
]
] | Training-free Vision Transformer (ViT) architecture search is presented to search for a better ViT with zero-cost proxies. While ViTs achieve significant distillation gains from CNN teacher models on small datasets, the current zero-cost proxies in ViTs do not generalize well to the distillation training paradigm accor... |
2001.03243 | Alon Kipnis | Alon Kipnis, Galen Reeves | Gaussian Approximation of Quantization Error for Estimation from
Compressed Data | null | IEEE Transactions on Information Theory (Volume: 67, Issue: 8,
Aug. 2021) | 10.1109/TIT.2021.3083271 | null | cs.IT math.IT stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the distributional connection between the lossy compressed
representation of a high-dimensional signal $X$ using a random spherical code
and the observation of $X$ under an additive white Gaussian noise (AWGN). We
show that the Wasserstein distance between a bitrate-$R$ compressed version of
$X$ and its o... | [
{
"created": "Thu, 9 Jan 2020 22:10:10 GMT",
"version": "v1"
},
{
"created": "Thu, 12 Mar 2020 00:15:45 GMT",
"version": "v2"
},
{
"created": "Sun, 12 Dec 2021 06:42:10 GMT",
"version": "v3"
}
] | 2021-12-14 | [
[
"Kipnis",
"Alon",
""
],
[
"Reeves",
"Galen",
""
]
] | We consider the distributional connection between the lossy compressed representation of a high-dimensional signal $X$ using a random spherical code and the observation of $X$ under an additive white Gaussian noise (AWGN). We show that the Wasserstein distance between a bitrate-$R$ compressed version of $X$ and its obs... |
2203.08327 | Daniel Gonzalez Cedre | William Theisen, Daniel Gonzalez Cedre, Zachariah Carmichael, Daniel
Moreira, Tim Weninger, and Walter Scheirer | Motif Mining: Finding and Summarizing Remixed Image Content | 41 pages, 21 figures | null | null | null | cs.CV cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | On the internet, images are no longer static; they have become dynamic
content. Thanks to the availability of smartphones with cameras and easy-to-use
editing software, images can be remixed (i.e., redacted, edited, and recombined
with other content) on-the-fly and with a world-wide audience that can repeat
the proce... | [
{
"created": "Wed, 16 Mar 2022 00:14:19 GMT",
"version": "v1"
},
{
"created": "Thu, 17 Mar 2022 14:54:55 GMT",
"version": "v2"
}
] | 2022-03-18 | [
[
"Theisen",
"William",
""
],
[
"Cedre",
"Daniel Gonzalez",
""
],
[
"Carmichael",
"Zachariah",
""
],
[
"Moreira",
"Daniel",
""
],
[
"Weninger",
"Tim",
""
],
[
"Scheirer",
"Walter",
""
]
] | On the internet, images are no longer static; they have become dynamic content. Thanks to the availability of smartphones with cameras and easy-to-use editing software, images can be remixed (i.e., redacted, edited, and recombined with other content) on-the-fly and with a world-wide audience that can repeat the process... |
2301.01531 | Razvan Caramalau | Razvan Caramalau, Binod Bhattarai, Danail Stoyanov, Tae-Kyun Kim | MoBYv2AL: Self-supervised Active Learning for Image Classification | Poster accepted at BMVC 2022 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Active learning(AL) has recently gained popularity for deep learning(DL)
models. This is due to efficient and informative sampling, especially when the
learner requires large-scale labelled datasets. Commonly, the sampling and
training happen in stages while more batches are added. One main bottleneck in
this strateg... | [
{
"created": "Wed, 4 Jan 2023 10:52:02 GMT",
"version": "v1"
}
] | 2023-01-05 | [
[
"Caramalau",
"Razvan",
""
],
[
"Bhattarai",
"Binod",
""
],
[
"Stoyanov",
"Danail",
""
],
[
"Kim",
"Tae-Kyun",
""
]
] | Active learning(AL) has recently gained popularity for deep learning(DL) models. This is due to efficient and informative sampling, especially when the learner requires large-scale labelled datasets. Commonly, the sampling and training happen in stages while more batches are added. One main bottleneck in this strategy ... |
1412.7689 | Roshan Ragel | Akmal Jahan Mac and Roshan G Ragel | Locating Tables in Scanned Documents for Reconstructing and Republishing
(ICIAfS14) | The 7th International Conference on Information and Automation for
Sustainability (ICIAfS) 2014 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pool of knowledge available to the mankind depends on the source of learning
resources, which can vary from ancient printed documents to present electronic
material. The rapid conversion of material available in traditional libraries
to digital form needs a significant amount of work if we are to maintain the
format ... | [
{
"created": "Wed, 24 Dec 2014 15:29:13 GMT",
"version": "v1"
}
] | 2014-12-25 | [
[
"Mac",
"Akmal Jahan",
""
],
[
"Ragel",
"Roshan G",
""
]
] | Pool of knowledge available to the mankind depends on the source of learning resources, which can vary from ancient printed documents to present electronic material. The rapid conversion of material available in traditional libraries to digital form needs a significant amount of work if we are to maintain the format an... |
2104.13638 | Manu Joseph | Manu Joseph | PyTorch Tabular: A Framework for Deep Learning with Tabular Data | This work has been submitted to the IEEE for possible publication | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | In spite of showing unreasonable effectiveness in modalities like Text and
Image, Deep Learning has always lagged Gradient Boosting in tabular data - both
in popularity and performance. But recently there have been newer models
created specifically for tabular data, which is pushing the performance bar.
But popularit... | [
{
"created": "Wed, 28 Apr 2021 08:50:08 GMT",
"version": "v1"
}
] | 2021-04-29 | [
[
"Joseph",
"Manu",
""
]
] | In spite of showing unreasonable effectiveness in modalities like Text and Image, Deep Learning has always lagged Gradient Boosting in tabular data - both in popularity and performance. But recently there have been newer models created specifically for tabular data, which is pushing the performance bar. But popularity ... |
1203.0443 | Pierre de Leusse | Pierre de Leusse, Panos Periorellis, Paul Watson, Andreas Maierhofer | Secure & Rapid Composition of Infrastructure Services in the Cloud | null | SENSORCOMM '08. Second International Conference on , vol., no.,
pp.770-775, 25-31 Aug. 2008 | 10.1109/SENSORCOMM.2008.130 | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A fundamental ambition of grid and distributed systems is to be capable of
sustaining evolution and allowing for adaptability ((F. Losavio et al., 2002),
(S. Radhakrishnan, 2005)). Furthermore, as the complexity and sophistication of
theses structures increases, so does the need for adaptability of each
component. On... | [
{
"created": "Fri, 2 Mar 2012 12:25:09 GMT",
"version": "v1"
}
] | 2012-03-05 | [
[
"de Leusse",
"Pierre",
""
],
[
"Periorellis",
"Panos",
""
],
[
"Watson",
"Paul",
""
],
[
"Maierhofer",
"Andreas",
""
]
] | A fundamental ambition of grid and distributed systems is to be capable of sustaining evolution and allowing for adaptability ((F. Losavio et al., 2002), (S. Radhakrishnan, 2005)). Furthermore, as the complexity and sophistication of theses structures increases, so does the need for adaptability of each component. One ... |
2308.10401 | Shengzhi Wang | Xiangyu Chu+, Shengzhi Wang+, Minjian Feng, Jiaxi Zheng, Yuxuan Zhao,
Jing Huang, and K. W. Samuel Au | Model-Free Large-Scale Cloth Spreading With Mobile Manipulation: Initial
Feasibility Study | 6 pages, 6 figures, submit to CASE2023 | 2023 IEEE International Conference on Automation Science and
Engineering (CASE) | null | null | cs.RO cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cloth manipulation is common in domestic and service tasks, and most studies
use fixed-base manipulators to manipulate objects whose sizes are relatively
small with respect to the manipulators' workspace, such as towels, shirts, and
rags. In contrast, manipulation of large-scale cloth, such as bed making and
tableclo... | [
{
"created": "Mon, 21 Aug 2023 00:30:43 GMT",
"version": "v1"
}
] | 2023-08-22 | [
[
"Chu+",
"Xiangyu",
""
],
[
"Wang+",
"Shengzhi",
""
],
[
"Feng",
"Minjian",
""
],
[
"Zheng",
"Jiaxi",
""
],
[
"Zhao",
"Yuxuan",
""
],
[
"Huang",
"Jing",
""
],
[
"Au",
"K. W. Samuel",
""
]
] | Cloth manipulation is common in domestic and service tasks, and most studies use fixed-base manipulators to manipulate objects whose sizes are relatively small with respect to the manipulators' workspace, such as towels, shirts, and rags. In contrast, manipulation of large-scale cloth, such as bed making and tablecloth... |
1410.2131 | Waqas Aman | Waqas Aman | A Framework for Analysis and Comparison of Dynamic Malware Analysis
Tools | 12 pages | International Journal of Network Security & Its Applications
09/2014; 6(5):63-74 | 10.5121/ijnsa.2014.6505 | null | cs.CR | http://creativecommons.org/licenses/publicdomain/ | Malware writers have employed various obfuscation and polymorphism techniques
to thwart static analysis approaches and bypassing antivirus tools. Dynamic
analysis techniques, however, have essentially overcome these deceits by
observing the actual behaviour of the code execution. In this regard, various
methods, tech... | [
{
"created": "Wed, 8 Oct 2014 14:19:16 GMT",
"version": "v1"
}
] | 2014-10-09 | [
[
"Aman",
"Waqas",
""
]
] | Malware writers have employed various obfuscation and polymorphism techniques to thwart static analysis approaches and bypassing antivirus tools. Dynamic analysis techniques, however, have essentially overcome these deceits by observing the actual behaviour of the code execution. In this regard, various methods, techni... |
1408.1480 | Adnan Darwiche | Adnan Darwiche, Gregory M. Provan | Query DAGs: A Practical Paradigm for Implementing Belief Network
Inference | Appears in Proceedings of the Twelfth Conference on Uncertainty in
Artificial Intelligence (UAI1996) | null | null | UAI-P-1996-PG-203-210 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We describe a new paradigm for implementing inference in belief networks,
which relies on compiling a belief network into an arithmetic expression called
a Query DAG (Q-DAG). Each non-leaf node of a Q-DAG represents a numeric
operation, a number, or a symbol for evidence. Each leaf node of a Q-DAG
represents the answ... | [
{
"created": "Thu, 7 Aug 2014 06:22:51 GMT",
"version": "v1"
}
] | 2014-08-08 | [
[
"Darwiche",
"Adnan",
""
],
[
"Provan",
"Gregory M.",
""
]
] | We describe a new paradigm for implementing inference in belief networks, which relies on compiling a belief network into an arithmetic expression called a Query DAG (Q-DAG). Each non-leaf node of a Q-DAG represents a numeric operation, a number, or a symbol for evidence. Each leaf node of a Q-DAG represents the answer... |
2303.16975 | Rishi Hazra | Rishi Hazra, Brian Chen, Akshara Rai, Nitin Kamra, Ruta Desai | EgoTV: Egocentric Task Verification from Natural Language Task
Descriptions | Accepted at ICCV 2023 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | To enable progress towards egocentric agents capable of understanding
everyday tasks specified in natural language, we propose a benchmark and a
synthetic dataset called Egocentric Task Verification (EgoTV). The goal in
EgoTV is to verify the execution of tasks from egocentric videos based on the
natural language des... | [
{
"created": "Wed, 29 Mar 2023 19:16:49 GMT",
"version": "v1"
},
{
"created": "Tue, 4 Apr 2023 18:41:24 GMT",
"version": "v2"
},
{
"created": "Mon, 17 Apr 2023 18:04:27 GMT",
"version": "v3"
},
{
"created": "Tue, 2 May 2023 15:26:28 GMT",
"version": "v4"
},
{
"cre... | 2023-09-27 | [
[
"Hazra",
"Rishi",
""
],
[
"Chen",
"Brian",
""
],
[
"Rai",
"Akshara",
""
],
[
"Kamra",
"Nitin",
""
],
[
"Desai",
"Ruta",
""
]
] | To enable progress towards egocentric agents capable of understanding everyday tasks specified in natural language, we propose a benchmark and a synthetic dataset called Egocentric Task Verification (EgoTV). The goal in EgoTV is to verify the execution of tasks from egocentric videos based on the natural language descr... |
1401.2010 | Samuele Giraudo | Samuele Giraudo, Jean-Gabriel Luque, Ludovic Mignot and Florent Nicart | Operads, quasiorders, and regular languages | 32 pages | Advances in Applied Mathematics, 75, 56--93, 2016 | null | null | cs.FL math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We generalize the construction of multitildes in the aim to provide
multitilde operators for regular languages. We show that the underliying
algebraic structure involves the action of some operads. An operad is an
algebraic structure that mimics the composition of the functions. The involved
operads are described in ... | [
{
"created": "Thu, 9 Jan 2014 14:19:52 GMT",
"version": "v1"
},
{
"created": "Thu, 21 Jan 2016 07:26:14 GMT",
"version": "v2"
}
] | 2016-01-22 | [
[
"Giraudo",
"Samuele",
""
],
[
"Luque",
"Jean-Gabriel",
""
],
[
"Mignot",
"Ludovic",
""
],
[
"Nicart",
"Florent",
""
]
] | We generalize the construction of multitildes in the aim to provide multitilde operators for regular languages. We show that the underliying algebraic structure involves the action of some operads. An operad is an algebraic structure that mimics the composition of the functions. The involved operads are described in te... |
1501.04505 | Kaihua Zhang | Kaihua Zhang, Qingshan Liu, Yi Wu, Ming-Hsuan Yang | Robust Visual Tracking via Convolutional Networks | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Deep networks have been successfully applied to visual tracking by learning a
generic representation offline from numerous training images. However the
offline training is time-consuming and the learned generic representation may
be less discriminative for tracking specific objects. In this paper we present
that, eve... | [
{
"created": "Mon, 19 Jan 2015 14:39:51 GMT",
"version": "v1"
},
{
"created": "Mon, 24 Aug 2015 06:07:22 GMT",
"version": "v2"
}
] | 2015-08-25 | [
[
"Zhang",
"Kaihua",
""
],
[
"Liu",
"Qingshan",
""
],
[
"Wu",
"Yi",
""
],
[
"Yang",
"Ming-Hsuan",
""
]
] | Deep networks have been successfully applied to visual tracking by learning a generic representation offline from numerous training images. However the offline training is time-consuming and the learned generic representation may be less discriminative for tracking specific objects. In this paper we present that, even ... |
2301.05108 | Ibrahim Abdelaziz | Wenting Zhao, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas,
Mossad Helali, Essam Mansour | Serenity: Library Based Python Code Analysis for Code Completion and
Automated Machine Learning | null | null | null | null | cs.PL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Dynamically typed languages such as Python have become very popular. Among
other strengths, Python's dynamic nature and its straightforward linking to
native code have made it the de-facto language for many research areas such as
Artificial Intelligence. This flexibility, however, makes static analysis very
hard. Whi... | [
{
"created": "Thu, 5 Jan 2023 02:09:08 GMT",
"version": "v1"
}
] | 2023-01-13 | [
[
"Zhao",
"Wenting",
""
],
[
"Abdelaziz",
"Ibrahim",
""
],
[
"Dolby",
"Julian",
""
],
[
"Srinivas",
"Kavitha",
""
],
[
"Helali",
"Mossad",
""
],
[
"Mansour",
"Essam",
""
]
] | Dynamically typed languages such as Python have become very popular. Among other strengths, Python's dynamic nature and its straightforward linking to native code have made it the de-facto language for many research areas such as Artificial Intelligence. This flexibility, however, makes static analysis very hard. While... |
1302.1557 | Kathryn Blackmond Laskey | Kathryn Blackmond Laskey, Suzanne M. Mahoney | Network Fragments: Representing Knowledge for Constructing Probabilistic
Models | Appears in Proceedings of the Thirteenth Conference on Uncertainty in
Artificial Intelligence (UAI1997) | null | null | UAI-P-1997-PG-334-341 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In most current applications of belief networks, domain knowledge is
represented by a single belief network that applies to all problem instances in
the domain. In more complex domains, problem-specific models must be
constructed from a knowledge base encoding probabilistic relationships in the
domain. Most work in k... | [
{
"created": "Wed, 6 Feb 2013 15:57:59 GMT",
"version": "v1"
}
] | 2013-02-08 | [
[
"Laskey",
"Kathryn Blackmond",
""
],
[
"Mahoney",
"Suzanne M.",
""
]
] | In most current applications of belief networks, domain knowledge is represented by a single belief network that applies to all problem instances in the domain. In more complex domains, problem-specific models must be constructed from a knowledge base encoding probabilistic relationships in the domain. Most work in kno... |
2111.15514 | Xiaoteng Zhou | Xiaoteng Zhou, Changli Yu, Xin Yuan, Haijun Feng, and Yang Xu | Nonlinear Intensity Underwater Sonar Image Matching Method Based on
Phase Information and Deep Convolution Features | 6 pages, letters, 9 figures. arXiv admin note: substantial text
overlap with arXiv:2111.08994 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the field of deep-sea exploration, sonar is presently the only efficient
long-distance sensing device. The complicated underwater environment, such as
noise interference, low target intensity or background dynamics, has brought
many negative effects on sonar imaging. Among them, the problem of nonlinear
intensity ... | [
{
"created": "Mon, 29 Nov 2021 02:36:49 GMT",
"version": "v1"
}
] | 2021-12-01 | [
[
"Zhou",
"Xiaoteng",
""
],
[
"Yu",
"Changli",
""
],
[
"Yuan",
"Xin",
""
],
[
"Feng",
"Haijun",
""
],
[
"Xu",
"Yang",
""
]
] | In the field of deep-sea exploration, sonar is presently the only efficient long-distance sensing device. The complicated underwater environment, such as noise interference, low target intensity or background dynamics, has brought many negative effects on sonar imaging. Among them, the problem of nonlinear intensity is... |
1809.05286 | Kian Ghodoussi | Kian Ghodoussi, Nihar Sheth, Zane Durante, Markie Wagner | Deep CNN Frame Interpolation with Lessons Learned from Natural Language
Processing | 10 pages, 5 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A major area of growth within deep learning has been the study and
implementation of convolutional neural networks. The general explanation within
the deep learning community of the robustness of convolutional neural networks
(CNNs) within image recognition rests upon the idea that CNNs are able to
extract localized ... | [
{
"created": "Fri, 14 Sep 2018 07:44:46 GMT",
"version": "v1"
},
{
"created": "Mon, 17 Sep 2018 00:43:58 GMT",
"version": "v2"
}
] | 2018-09-18 | [
[
"Ghodoussi",
"Kian",
""
],
[
"Sheth",
"Nihar",
""
],
[
"Durante",
"Zane",
""
],
[
"Wagner",
"Markie",
""
]
] | A major area of growth within deep learning has been the study and implementation of convolutional neural networks. The general explanation within the deep learning community of the robustness of convolutional neural networks (CNNs) within image recognition rests upon the idea that CNNs are able to extract localized fe... |
1710.10061 | Hasnae Rahimi | Hasnae Rahimi and Hanan El Bekkali | State of the art of Trust and Reputation Systems in E-Commerce Context | State of the art (survey) published in IJCSI journal paper indexed by
DBLP, EBSCO, Proquest, DOAJ, Google Scholar, with 53 References;
http://www.ijcsi.org/ Volume 14, Issue 3, May 2017 | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This article proposes in depth comparative study of the most popular, used
and analyzed Trust and Reputation System (TRS) according to the trust and
reputation literature and in terms of specific trustworthiness criteria. This
survey is realized relying on a selection of trustworthiness criteria that
analyze and eval... | [
{
"created": "Fri, 27 Oct 2017 10:29:34 GMT",
"version": "v1"
}
] | 2017-10-30 | [
[
"Rahimi",
"Hasnae",
""
],
[
"Bekkali",
"Hanan El",
""
]
] | This article proposes in depth comparative study of the most popular, used and analyzed Trust and Reputation System (TRS) according to the trust and reputation literature and in terms of specific trustworthiness criteria. This survey is realized relying on a selection of trustworthiness criteria that analyze and evalua... |
2312.14023 | Yakov Shalunov | Yakov Shalunov | Leakage-Resilient Hardness Equivalence to Logspace Derandomization | 19 pages | null | null | null | cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Efficient derandomization has long been a goal in complexity theory, and a
major recent result by Yanyi Liu and Rafael Pass identifies a new class of
hardness assumption under which it is possible to perform time-bounded
derandomization efficiently: that of ''leakage-resilient hardness.'' They
identify a specific for... | [
{
"created": "Thu, 21 Dec 2023 16:54:00 GMT",
"version": "v1"
},
{
"created": "Thu, 27 Jun 2024 20:54:08 GMT",
"version": "v2"
}
] | 2024-07-01 | [
[
"Shalunov",
"Yakov",
""
]
] | Efficient derandomization has long been a goal in complexity theory, and a major recent result by Yanyi Liu and Rafael Pass identifies a new class of hardness assumption under which it is possible to perform time-bounded derandomization efficiently: that of ''leakage-resilient hardness.'' They identify a specific form ... |
2004.02132 | Hoang Le | Hoang Le, Feng Liu, Shu Zhang, and Aseem Agarwala | Deep Homography Estimation for Dynamic Scenes | CVPR 2020, https://github.com/lcmhoang/hmg-dynamics | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Homography estimation is an important step in many computer vision problems.
Recently, deep neural network methods have shown to be favorable for this
problem when compared to traditional methods. However, these new methods do not
consider dynamic content in input images. They train neural networks with only
image pa... | [
{
"created": "Sun, 5 Apr 2020 09:07:18 GMT",
"version": "v1"
}
] | 2020-04-07 | [
[
"Le",
"Hoang",
""
],
[
"Liu",
"Feng",
""
],
[
"Zhang",
"Shu",
""
],
[
"Agarwala",
"Aseem",
""
]
] | Homography estimation is an important step in many computer vision problems. Recently, deep neural network methods have shown to be favorable for this problem when compared to traditional methods. However, these new methods do not consider dynamic content in input images. They train neural networks with only image pair... |
2208.12619 | Dea Editya | Dea Avega Editya | Tinjauan atas Efektivitas Penggunaan Key Opinion Leader (KOL) dalam
Penjualan Surat Utang Negara Ritel seri SBR011 | 15 pages, 7 figures, in Indonesian | null | null | null | cs.CY cs.CL | http://creativecommons.org/licenses/by-sa/4.0/ | Indonesian Ministry of Finance had endorsed 10 Key Opinion Leaders to help
promoting government retail bonds SBR011 during selling period of 25 May-16
June 2022. This study analyzed effectiveness of the endorsement by using
several indicators; engagement rate, enthusiasm rate and sentiment analysis of
feedbacks from ... | [
{
"created": "Sat, 13 Aug 2022 03:38:53 GMT",
"version": "v1"
}
] | 2022-08-29 | [
[
"Editya",
"Dea Avega",
""
]
] | Indonesian Ministry of Finance had endorsed 10 Key Opinion Leaders to help promoting government retail bonds SBR011 during selling period of 25 May-16 June 2022. This study analyzed effectiveness of the endorsement by using several indicators; engagement rate, enthusiasm rate and sentiment analysis of feedbacks from KO... |
2212.04495 | Rishabh Dabral | Rishabh Dabral and Muhammad Hamza Mughal and Vladislav Golyanik and
Christian Theobalt | MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis | CVPR23, 11 pages, 6 figures, 2 tables; project page:
https://vcai.mpi-inf.mpg.de/projects/MoFusion | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Conventional methods for human motion synthesis are either deterministic or
struggle with the trade-off between motion diversity and motion quality. In
response to these limitations, we introduce MoFusion, i.e., a new
denoising-diffusion-based framework for high-quality conditional human motion
synthesis that can gen... | [
{
"created": "Thu, 8 Dec 2022 18:59:48 GMT",
"version": "v1"
},
{
"created": "Mon, 15 May 2023 11:36:57 GMT",
"version": "v2"
}
] | 2023-05-16 | [
[
"Dabral",
"Rishabh",
""
],
[
"Mughal",
"Muhammad Hamza",
""
],
[
"Golyanik",
"Vladislav",
""
],
[
"Theobalt",
"Christian",
""
]
] | Conventional methods for human motion synthesis are either deterministic or struggle with the trade-off between motion diversity and motion quality. In response to these limitations, we introduce MoFusion, i.e., a new denoising-diffusion-based framework for high-quality conditional human motion synthesis that can gener... |
2303.12878 | Morgane Goibert | Morgane Goibert, Cl\'ement Calauz\`enes, Ekhine Irurozki, St\'ephan
Cl\'emen\c{c}on | Robust Consensus in Ranking Data Analysis: Definitions, Properties and
Computational Issues | null | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | As the issue of robustness in AI systems becomes vital, statistical learning
techniques that are reliable even in presence of partly contaminated data have
to be developed. Preference data, in the form of (complete) rankings in the
simplest situations, are no exception and the demand for appropriate concepts
and tool... | [
{
"created": "Wed, 22 Mar 2023 19:36:56 GMT",
"version": "v1"
}
] | 2023-03-24 | [
[
"Goibert",
"Morgane",
""
],
[
"Calauzènes",
"Clément",
""
],
[
"Irurozki",
"Ekhine",
""
],
[
"Clémençon",
"Stéphan",
""
]
] | As the issue of robustness in AI systems becomes vital, statistical learning techniques that are reliable even in presence of partly contaminated data have to be developed. Preference data, in the form of (complete) rankings in the simplest situations, are no exception and the demand for appropriate concepts and tools ... |
2306.07764 | David Samuel | David Samuel and Lilja {\O}vrelid | Tokenization with Factorized Subword Encoding | Findings of ACL 2023 | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, language models have become increasingly larger and more
complex. However, the input representations for these models continue to rely
on simple and greedy subword tokenization methods. In this paper, we propose a
novel tokenization method that factorizes subwords onto discrete triplets using
a VQ-VA... | [
{
"created": "Tue, 13 Jun 2023 13:27:34 GMT",
"version": "v1"
}
] | 2023-06-14 | [
[
"Samuel",
"David",
""
],
[
"Øvrelid",
"Lilja",
""
]
] | In recent years, language models have become increasingly larger and more complex. However, the input representations for these models continue to rely on simple and greedy subword tokenization methods. In this paper, we propose a novel tokenization method that factorizes subwords onto discrete triplets using a VQ-VAE ... |
2102.00457 | Chang Wei Tan | Chang Wei Tan and Angus Dempster and Christoph Bergmeir and Geoffrey
I. Webb | MultiRocket: Multiple pooling operators and transformations for fast and
effective time series classification | null | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | We propose MultiRocket, a fast time series classification (TSC) algorithm
that achieves state-of-the-art performance with a tiny fraction of the time and
without the complex ensembling structure of many state-of-the-art methods.
MultiRocket improves on MiniRocket, one of the fastest TSC algorithms to date,
by adding ... | [
{
"created": "Sun, 31 Jan 2021 14:04:10 GMT",
"version": "v1"
},
{
"created": "Tue, 28 Sep 2021 01:21:15 GMT",
"version": "v2"
},
{
"created": "Thu, 7 Oct 2021 05:51:00 GMT",
"version": "v3"
},
{
"created": "Mon, 21 Feb 2022 06:09:57 GMT",
"version": "v4"
}
] | 2022-02-22 | [
[
"Tan",
"Chang Wei",
""
],
[
"Dempster",
"Angus",
""
],
[
"Bergmeir",
"Christoph",
""
],
[
"Webb",
"Geoffrey I.",
""
]
] | We propose MultiRocket, a fast time series classification (TSC) algorithm that achieves state-of-the-art performance with a tiny fraction of the time and without the complex ensembling structure of many state-of-the-art methods. MultiRocket improves on MiniRocket, one of the fastest TSC algorithms to date, by adding mu... |
2404.10745 | Weitong Zhang | Weitong Zhang and Zhiyuan Fan and Jiafan He and Quanquan Gu | Settling Constant Regrets in Linear Markov Decision Processes | 46 pages, 2 tables | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the constant regret guarantees in reinforcement learning (RL). Our
objective is to design an algorithm that incurs only finite regret over
infinite episodes with high probability. We introduce an algorithm,
Cert-LSVI-UCB, for misspecified linear Markov decision processes (MDPs) where
both the transition kern... | [
{
"created": "Tue, 16 Apr 2024 17:23:19 GMT",
"version": "v1"
}
] | 2024-04-17 | [
[
"Zhang",
"Weitong",
""
],
[
"Fan",
"Zhiyuan",
""
],
[
"He",
"Jiafan",
""
],
[
"Gu",
"Quanquan",
""
]
] | We study the constant regret guarantees in reinforcement learning (RL). Our objective is to design an algorithm that incurs only finite regret over infinite episodes with high probability. We introduce an algorithm, Cert-LSVI-UCB, for misspecified linear Markov decision processes (MDPs) where both the transition kernel... |
2110.07009 | Luke Bauer | Luke A. Bauer, James K. Howes IV, Sam A. Markelon, Vincent
Bindschaedler, Thomas Shrimpton | Leveraging Generative Models for Covert Messaging: Challenges and
Tradeoffs for "Dead-Drop" Deployments | null | null | null | null | cs.CR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | State of the art generative models of human-produced content are the focus of
many recent papers that explore their use for steganographic communication. In
particular, generative models of natural language text. Loosely, these works
(invertibly) encode message-carrying bits into a sequence of samples from the
model,... | [
{
"created": "Wed, 13 Oct 2021 20:05:26 GMT",
"version": "v1"
},
{
"created": "Sat, 13 Aug 2022 08:16:30 GMT",
"version": "v2"
},
{
"created": "Tue, 18 Jun 2024 15:52:51 GMT",
"version": "v3"
}
] | 2024-06-19 | [
[
"Bauer",
"Luke A.",
""
],
[
"Howes",
"James K.",
"IV"
],
[
"Markelon",
"Sam A.",
""
],
[
"Bindschaedler",
"Vincent",
""
],
[
"Shrimpton",
"Thomas",
""
]
] | State of the art generative models of human-produced content are the focus of many recent papers that explore their use for steganographic communication. In particular, generative models of natural language text. Loosely, these works (invertibly) encode message-carrying bits into a sequence of samples from the model, u... |
2006.13396 | Mojtaba Mahdavi | Mojtaba Mahdavi, Muhammad Umar Farooq, Liang Liu, Ove Edfors, Viktor
\"Owall, and Michael Lentmaier | The Effect of Coupling Memory and Block Length on Spatially Coupled
Serially Concatenated Codes | Presented at the IEEE 93rd Vehicular Technology Conference (VTC)
2021-Spring | null | 10.1109/VTC2021-Spring51267.2021.9448689 | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Spatially coupled serially concatenated codes (SC-SCCs) are a class of
spatially coupled turbo-like codes, which have a close-to-capacity performance
and low error floor. In this paper we investigate the impact of coupling
memory, block length, decoding window size, and number of iterations on the
performance, comple... | [
{
"created": "Wed, 24 Jun 2020 00:09:02 GMT",
"version": "v1"
},
{
"created": "Sun, 25 Jul 2021 15:19:02 GMT",
"version": "v2"
}
] | 2021-07-27 | [
[
"Mahdavi",
"Mojtaba",
""
],
[
"Farooq",
"Muhammad Umar",
""
],
[
"Liu",
"Liang",
""
],
[
"Edfors",
"Ove",
""
],
[
"Öwall",
"Viktor",
""
],
[
"Lentmaier",
"Michael",
""
]
] | Spatially coupled serially concatenated codes (SC-SCCs) are a class of spatially coupled turbo-like codes, which have a close-to-capacity performance and low error floor. In this paper we investigate the impact of coupling memory, block length, decoding window size, and number of iterations on the performance, complexi... |
2405.01584 | Li Wan | Li Wan, Tansu Alpcan, Margreta Kuijper, Emanuele Viterbo | Lightweight Conceptual Dictionary Learning for Text Classification Using
Information Compression | 12 pages, TKDE format | null | null | null | cs.CL cs.LG eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a novel, lightweight supervised dictionary learning framework for
text classification based on data compression and representation. This
two-phase algorithm initially employs the Lempel-Ziv-Welch (LZW) algorithm to
construct a dictionary from text datasets, focusing on the conceptual
significance of dictio... | [
{
"created": "Sun, 28 Apr 2024 10:11:52 GMT",
"version": "v1"
}
] | 2024-05-06 | [
[
"Wan",
"Li",
""
],
[
"Alpcan",
"Tansu",
""
],
[
"Kuijper",
"Margreta",
""
],
[
"Viterbo",
"Emanuele",
""
]
] | We propose a novel, lightweight supervised dictionary learning framework for text classification based on data compression and representation. This two-phase algorithm initially employs the Lempel-Ziv-Welch (LZW) algorithm to construct a dictionary from text datasets, focusing on the conceptual significance of dictiona... |
2301.04447 | Hemraj Singh | Hemraj Singh, Mridula Verma, Ramalingaswamy Cheruku | VS-Net: Multiscale Spatiotemporal Features for Lightweight Video Salient
Document Detection | null | https://ictai.computer.org/2022/ | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Video Salient Document Detection (VSDD) is an essential task of practical
computer vision, which aims to highlight visually salient document regions in
video frames. Previous techniques for VSDD focus on learning features without
considering the cooperation among and across the appearance and motion cues and
thus fai... | [
{
"created": "Wed, 11 Jan 2023 13:07:31 GMT",
"version": "v1"
}
] | 2023-01-12 | [
[
"Singh",
"Hemraj",
""
],
[
"Verma",
"Mridula",
""
],
[
"Cheruku",
"Ramalingaswamy",
""
]
] | Video Salient Document Detection (VSDD) is an essential task of practical computer vision, which aims to highlight visually salient document regions in video frames. Previous techniques for VSDD focus on learning features without considering the cooperation among and across the appearance and motion cues and thus fail ... |
cs/0605003 | Amitabh Saxena | Amitabh Saxena and Ben Soh | A New Cryptosystem Based On Hidden Order Groups | removed examples for multiparty key agreement and join protocols,
since they are redundant | null | null | null | cs.CR cs.CC | null | Let $G_1$ be a cyclic multiplicative group of order $n$. It is known that the
Diffie-Hellman problem is random self-reducible in $G_1$ with respect to a
fixed generator $g$ if $\phi(n)$ is known. That is, given $g, g^x\in G_1$ and
having oracle access to a `Diffie-Hellman Problem' solver with fixed generator
$g$, it ... | [
{
"created": "Sun, 30 Apr 2006 18:13:10 GMT",
"version": "v1"
},
{
"created": "Tue, 2 May 2006 16:59:08 GMT",
"version": "v2"
},
{
"created": "Wed, 3 May 2006 17:55:02 GMT",
"version": "v3"
},
{
"created": "Wed, 3 May 2006 21:23:55 GMT",
"version": "v4"
}
] | 2007-05-23 | [
[
"Saxena",
"Amitabh",
""
],
[
"Soh",
"Ben",
""
]
] | Let $G_1$ be a cyclic multiplicative group of order $n$. It is known that the Diffie-Hellman problem is random self-reducible in $G_1$ with respect to a fixed generator $g$ if $\phi(n)$ is known. That is, given $g, g^x\in G_1$ and having oracle access to a `Diffie-Hellman Problem' solver with fixed generator $g$, it is... |
2212.07603 | Lechao Cheng | Zerun Liu, Fan Zhang, Jingxuan He, Jin Wang, Zhangye Wang, Lechao
Cheng | Text-Guided Mask-free Local Image Retouching | 7 pages, 6 figures, 1 table | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | In the realm of multi-modality, text-guided image retouching techniques
emerged with the advent of deep learning. Most currently available text-guided
methods, however, rely on object-level supervision to constrain the region that
may be modified. This not only makes it more challenging to develop these
algorithms, b... | [
{
"created": "Thu, 15 Dec 2022 03:26:53 GMT",
"version": "v1"
},
{
"created": "Fri, 24 Feb 2023 05:46:02 GMT",
"version": "v2"
}
] | 2023-02-27 | [
[
"Liu",
"Zerun",
""
],
[
"Zhang",
"Fan",
""
],
[
"He",
"Jingxuan",
""
],
[
"Wang",
"Jin",
""
],
[
"Wang",
"Zhangye",
""
],
[
"Cheng",
"Lechao",
""
]
] | In the realm of multi-modality, text-guided image retouching techniques emerged with the advent of deep learning. Most currently available text-guided methods, however, rely on object-level supervision to constrain the region that may be modified. This not only makes it more challenging to develop these algorithms, but... |
2108.09952 | Lorena P\'erez-Garc\'ia | Lorena P\'erez-Garc\'ia | The ICT-Buen Vivir Paradox: Using Digital Tools to Defend Indigenous
Cultures | In proceedings of the 1st Virtual Conference on Implications of
Information and Digital Technologies for Development, 2021 | null | null | null | cs.CY | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Arguably shaped by political economy perspectives from the Global North,
ICT4D aims to reduce socioeconomic disparities across countries and regions
through ICT implementations, as well as to open up opportunities for
empowerment and human development. Despite these aims, ICT4D has been
criticized because 1) although... | [
{
"created": "Mon, 23 Aug 2021 05:49:55 GMT",
"version": "v1"
}
] | 2021-08-24 | [
[
"Pérez-García",
"Lorena",
""
]
] | Arguably shaped by political economy perspectives from the Global North, ICT4D aims to reduce socioeconomic disparities across countries and regions through ICT implementations, as well as to open up opportunities for empowerment and human development. Despite these aims, ICT4D has been criticized because 1) although I... |
2108.03978 | Sadhana Shanmuga Sundaram | Aebel Joe Shibu, Sadhana S, Shilpa N, Pratyush Kumar | VeRLPy: Python Library for Verification of Digital Designs with
Reinforcement Learning | submitted to The first international conference on AI-ML Systems | null | null | null | cs.AR cs.LG cs.SE | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Digital hardware is verified by comparing its behavior against a reference
model on a range of randomly generated input signals. The random generation of
the inputs hopes to achieve sufficient coverage of the different parts of the
design. However, such coverage is often difficult to achieve, amounting to
large verif... | [
{
"created": "Mon, 9 Aug 2021 12:27:31 GMT",
"version": "v1"
}
] | 2021-08-10 | [
[
"Shibu",
"Aebel Joe",
""
],
[
"S",
"Sadhana",
""
],
[
"N",
"Shilpa",
""
],
[
"Kumar",
"Pratyush",
""
]
] | Digital hardware is verified by comparing its behavior against a reference model on a range of randomly generated input signals. The random generation of the inputs hopes to achieve sufficient coverage of the different parts of the design. However, such coverage is often difficult to achieve, amounting to large verific... |
2311.11123 | Chenyang Yang | Wanqin Ma, Chenyang Yang, Christian K\"astner | (Why) Is My Prompt Getting Worse? Rethinking Regression Testing for
Evolving LLM APIs | conference version | null | null | null | cs.SE cs.CL | http://creativecommons.org/licenses/by/4.0/ | Large Language Models (LLMs) are increasingly integrated into software
applications. Downstream application developers often access LLMs through APIs
provided as a service. However, LLM APIs are often updated silently and
scheduled to be deprecated, forcing users to continuously adapt to evolving
models. This can cau... | [
{
"created": "Sat, 18 Nov 2023 17:11:12 GMT",
"version": "v1"
},
{
"created": "Tue, 6 Feb 2024 20:32:41 GMT",
"version": "v2"
}
] | 2024-02-08 | [
[
"Ma",
"Wanqin",
""
],
[
"Yang",
"Chenyang",
""
],
[
"Kästner",
"Christian",
""
]
] | Large Language Models (LLMs) are increasingly integrated into software applications. Downstream application developers often access LLMs through APIs provided as a service. However, LLM APIs are often updated silently and scheduled to be deprecated, forcing users to continuously adapt to evolving models. This can cause... |
1601.01410 | Geoffrey Gamble | Geoffrey George Gamble and Mehrdad Yazdani | Sparse signals for the control of human movements using the infinity
norm | null | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Optimal control models have been successful in describing many aspects of
human movement. The interpretation of such models regarding neuronal
implementation of the human motor system is not clear. An important aspects of
optimal control policies is the notion of cost. Optimal control seeks to
minimize a notion of co... | [
{
"created": "Thu, 7 Jan 2016 06:20:37 GMT",
"version": "v1"
}
] | 2016-01-08 | [
[
"Gamble",
"Geoffrey George",
""
],
[
"Yazdani",
"Mehrdad",
""
]
] | Optimal control models have been successful in describing many aspects of human movement. The interpretation of such models regarding neuronal implementation of the human motor system is not clear. An important aspects of optimal control policies is the notion of cost. Optimal control seeks to minimize a notion of cost... |
2005.06739 | Ali Khajegili Mirabadi | Ali Khajegili Mirabadi and Stefano Rini | The Information & Mutual Information Ratio for Counting Image Features
and Their Matches | 8-th Iran Workshop on Communication and Information Theory, 2020 | null | null | null | cs.CV cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Feature extraction and description is an important topic of computer vision,
as it is the starting point of a number of tasks such as image reconstruction,
stitching, registration, and recognition among many others. In this paper, two
new image features are proposed: the Information Ratio (IR) and the Mutual
Informat... | [
{
"created": "Thu, 14 May 2020 06:27:01 GMT",
"version": "v1"
}
] | 2020-05-15 | [
[
"Mirabadi",
"Ali Khajegili",
""
],
[
"Rini",
"Stefano",
""
]
] | Feature extraction and description is an important topic of computer vision, as it is the starting point of a number of tasks such as image reconstruction, stitching, registration, and recognition among many others. In this paper, two new image features are proposed: the Information Ratio (IR) and the Mutual Informatio... |
1211.2126 | Hela Ltifi Ms | Hela Ltifi, Ghada Trabelsi, Mounir Ben Ayed, Adel M. Alimi | Dynamic Decision Support System Based on Bayesian Networks Application
to fight against the Nosocomial Infections | 8 pages, 6 figures, 43 references | International Journal of Advanced Research in Artificial
Intelligence (IJARAI), vol 1(1), pp. 22-29, 2012 | null | null | cs.AI cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The improvement of medical care quality is a significant interest for the
future years. The fight against nosocomial infections (NI) in the intensive
care units (ICU) is a good example. We will focus on a set of observations
which reflect the dynamic aspect of the decision, result of the application of
a Medical Deci... | [
{
"created": "Fri, 9 Nov 2012 13:36:44 GMT",
"version": "v1"
}
] | 2012-11-12 | [
[
"Ltifi",
"Hela",
""
],
[
"Trabelsi",
"Ghada",
""
],
[
"Ayed",
"Mounir Ben",
""
],
[
"Alimi",
"Adel M.",
""
]
] | The improvement of medical care quality is a significant interest for the future years. The fight against nosocomial infections (NI) in the intensive care units (ICU) is a good example. We will focus on a set of observations which reflect the dynamic aspect of the decision, result of the application of a Medical Decisi... |
2008.00500 | Zhide Wang | Yanling Chang and Alfredo Garcia and Zhide Wang and Lu Sun | Structural Estimation of Partially Observable Markov Decision Processes | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In many practical settings control decisions must be made under
partial/imperfect information about the evolution of a relevant state variable.
Partially Observable Markov Decision Processes (POMDPs) is a relatively
well-developed framework for modeling and analyzing such problems. In this
paper we consider the struc... | [
{
"created": "Sun, 2 Aug 2020 15:04:27 GMT",
"version": "v1"
},
{
"created": "Fri, 27 Nov 2020 20:22:07 GMT",
"version": "v2"
},
{
"created": "Tue, 28 Dec 2021 18:58:40 GMT",
"version": "v3"
}
] | 2021-12-30 | [
[
"Chang",
"Yanling",
""
],
[
"Garcia",
"Alfredo",
""
],
[
"Wang",
"Zhide",
""
],
[
"Sun",
"Lu",
""
]
] | In many practical settings control decisions must be made under partial/imperfect information about the evolution of a relevant state variable. Partially Observable Markov Decision Processes (POMDPs) is a relatively well-developed framework for modeling and analyzing such problems. In this paper we consider the structu... |
2212.06463 | Van-Dinh Nguyen | Nguyen Cong Luong, Quoc-Viet Pham, Thien Huynh-The, Van-Dinh Nguyen,
Derrick Wing Kwan Ng, and Symeon Chatzinotas | Edge Computing for Semantic Communication Enabled Metaverse: An
Incentive Mechanism Design | 7 pages, 5 figures | null | null | null | cs.GT cs.LG | http://creativecommons.org/licenses/by/4.0/ | Semantic communication (SemCom) and edge computing are two disruptive
solutions to address emerging requirements of huge data communication,
bandwidth efficiency and low latency data processing in Metaverse. However,
edge computing resources are often provided by computing service providers and
thus it is essential t... | [
{
"created": "Tue, 13 Dec 2022 10:29:41 GMT",
"version": "v1"
}
] | 2022-12-14 | [
[
"Luong",
"Nguyen Cong",
""
],
[
"Pham",
"Quoc-Viet",
""
],
[
"Huynh-The",
"Thien",
""
],
[
"Nguyen",
"Van-Dinh",
""
],
[
"Ng",
"Derrick Wing Kwan",
""
],
[
"Chatzinotas",
"Symeon",
""
]
] | Semantic communication (SemCom) and edge computing are two disruptive solutions to address emerging requirements of huge data communication, bandwidth efficiency and low latency data processing in Metaverse. However, edge computing resources are often provided by computing service providers and thus it is essential to ... |
2210.17409 | Xingyi Yang | Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang | Deep Model Reassembly | NeurIPS 2022 | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | In this paper, we explore a novel knowledge-transfer task, termed as Deep
Model Reassembly (DeRy), for general-purpose model reuse. Given a collection of
heterogeneous models pre-trained from distinct sources and with diverse
architectures, the goal of DeRy, as its name implies, is to first dissect each
model into di... | [
{
"created": "Mon, 24 Oct 2022 10:16:13 GMT",
"version": "v1"
},
{
"created": "Wed, 2 Nov 2022 16:16:28 GMT",
"version": "v2"
}
] | 2022-11-03 | [
[
"Yang",
"Xingyi",
""
],
[
"Zhou",
"Daquan",
""
],
[
"Liu",
"Songhua",
""
],
[
"Ye",
"Jingwen",
""
],
[
"Wang",
"Xinchao",
""
]
] | In this paper, we explore a novel knowledge-transfer task, termed as Deep Model Reassembly (DeRy), for general-purpose model reuse. Given a collection of heterogeneous models pre-trained from distinct sources and with diverse architectures, the goal of DeRy, as its name implies, is to first dissect each model into dist... |
2101.05473 | Ben Hermans | Alessandro Agnetis, Ben Hermans, Roel Leus, and Salim Rostami | Time-critical testing and search problems | null | null | null | null | cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper introduces a problem in which the state of a system needs to be
determined through costly tests of its components by a limited number of
testing units and before a given deadline. We also consider a closely related
search problem in which there are multiple searchers to find a target before a
given deadlin... | [
{
"created": "Thu, 14 Jan 2021 06:54:39 GMT",
"version": "v1"
}
] | 2021-01-15 | [
[
"Agnetis",
"Alessandro",
""
],
[
"Hermans",
"Ben",
""
],
[
"Leus",
"Roel",
""
],
[
"Rostami",
"Salim",
""
]
] | This paper introduces a problem in which the state of a system needs to be determined through costly tests of its components by a limited number of testing units and before a given deadline. We also consider a closely related search problem in which there are multiple searchers to find a target before a given deadline.... |
2006.10022 | Forough Arabshahi | Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis,
Amos Azaria, Tom Mitchell | Conversational Neuro-Symbolic Commonsense Reasoning | Appearing in the 35th AAAI international Conference on Artificial
Intelligence, 2021 | null | null | null | cs.AI cs.CL cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In order for conversational AI systems to hold more natural and broad-ranging
conversations, they will require much more commonsense, including the ability
to identify unstated presumptions of their conversational partners. For
example, in the command "If it snows at night then wake me up early because I
don't want t... | [
{
"created": "Wed, 17 Jun 2020 17:28:38 GMT",
"version": "v1"
},
{
"created": "Fri, 19 Jun 2020 18:24:40 GMT",
"version": "v2"
},
{
"created": "Tue, 2 Feb 2021 07:37:41 GMT",
"version": "v3"
}
] | 2021-02-03 | [
[
"Arabshahi",
"Forough",
""
],
[
"Lee",
"Jennifer",
""
],
[
"Gawarecki",
"Mikayla",
""
],
[
"Mazaitis",
"Kathryn",
""
],
[
"Azaria",
"Amos",
""
],
[
"Mitchell",
"Tom",
""
]
] | In order for conversational AI systems to hold more natural and broad-ranging conversations, they will require much more commonsense, including the ability to identify unstated presumptions of their conversational partners. For example, in the command "If it snows at night then wake me up early because I don't want to ... |
2004.01800 | Ping Hu | Ping Hu, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Stan Sclaroff and
Federico Perazzi | Temporally Distributed Networks for Fast Video Semantic Segmentation | [CVPR2020] Project: https://github.com/feinanshan/TDNet | null | null | null | cs.CV cs.LG cs.MM eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present TDNet, a temporally distributed network designed for fast and
accurate video semantic segmentation. We observe that features extracted from a
certain high-level layer of a deep CNN can be approximated by composing
features extracted from several shallower sub-networks. Leveraging the inherent
temporal cont... | [
{
"created": "Fri, 3 Apr 2020 22:43:32 GMT",
"version": "v1"
},
{
"created": "Tue, 7 Apr 2020 00:44:51 GMT",
"version": "v2"
}
] | 2020-04-08 | [
[
"Hu",
"Ping",
""
],
[
"Heilbron",
"Fabian Caba",
""
],
[
"Wang",
"Oliver",
""
],
[
"Lin",
"Zhe",
""
],
[
"Sclaroff",
"Stan",
""
],
[
"Perazzi",
"Federico",
""
]
] | We present TDNet, a temporally distributed network designed for fast and accurate video semantic segmentation. We observe that features extracted from a certain high-level layer of a deep CNN can be approximated by composing features extracted from several shallower sub-networks. Leveraging the inherent temporal contin... |
2012.12743 | Qingtian Zou | Qingtian Zou (1), Anoop Singhal (2), Xiaoyan Sun (3), Peng Liu (1)
((1) The Pennsylvania State University, (2) National Institute of Standards
and Technology, (3) California State University, Sacramento) | Generating Comprehensive Data with Protocol Fuzzing for Applying Deep
Learning to Detect Network Attacks | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Network attacks have become a major security concern for organizations
worldwide and have also drawn attention in the academics. Recently, researchers
have applied neural networks to detect network attacks with network logs.
However, public network data sets have major drawbacks such as limited data
sample variations... | [
{
"created": "Wed, 23 Dec 2020 15:24:45 GMT",
"version": "v1"
}
] | 2020-12-24 | [
[
"Zou",
"Qingtian",
""
],
[
"Singhal",
"Anoop",
""
],
[
"Sun",
"Xiaoyan",
""
],
[
"Liu",
"Peng",
""
]
] | Network attacks have become a major security concern for organizations worldwide and have also drawn attention in the academics. Recently, researchers have applied neural networks to detect network attacks with network logs. However, public network data sets have major drawbacks such as limited data sample variations a... |
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