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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1404.0783 | Ismail Toroslu | Cem Evrendilek, Ismail Hakki Toroslu, Sasan Hashemi | Task Assignment in Tree-Like Hierarchical Structures | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most large organizations, such as corporations, are hierarchical
organizations. In hierarchical organizations each entity in the organization,
except the root entity, is a sub-part of another entity. In this paper we study
the task assignment problem to the entities of tree-like hierarchical
organizations. The inhere... | [
{
"created": "Thu, 3 Apr 2014 07:16:49 GMT",
"version": "v1"
}
] | 2014-04-04 | [
[
"Evrendilek",
"Cem",
""
],
[
"Toroslu",
"Ismail Hakki",
""
],
[
"Hashemi",
"Sasan",
""
]
] | Most large organizations, such as corporations, are hierarchical organizations. In hierarchical organizations each entity in the organization, except the root entity, is a sub-part of another entity. In this paper we study the task assignment problem to the entities of tree-like hierarchical organizations. The inherent... |
2212.12363 | Zhitong Yang | Zhitong Yang, Xing Ma, Anqi Liu, Zheyu Zhang | Discovering Customer-Service Dialog System with Semi-Supervised Learning
and Coarse-to-Fine Intent Detection | Towards Semi-Supervised and Reinforced Task-Oriented Dialog Systems
Co-located with EMNLP 2022, System Description Paper, 5 pages | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Task-oriented dialog(TOD) aims to assist users in achieving specific goals
through multi-turn conversation. Recently, good results have been obtained
based on large pre-trained models. However, the labeled-data scarcity hinders
the efficient development of TOD systems at scale. In this work, we constructed
a weakly s... | [
{
"created": "Fri, 23 Dec 2022 14:36:43 GMT",
"version": "v1"
}
] | 2022-12-26 | [
[
"Yang",
"Zhitong",
""
],
[
"Ma",
"Xing",
""
],
[
"Liu",
"Anqi",
""
],
[
"Zhang",
"Zheyu",
""
]
] | Task-oriented dialog(TOD) aims to assist users in achieving specific goals through multi-turn conversation. Recently, good results have been obtained based on large pre-trained models. However, the labeled-data scarcity hinders the efficient development of TOD systems at scale. In this work, we constructed a weakly sup... |
1701.00165 | Amit Shaked | Amit Shaked and Lior Wolf | Improved Stereo Matching with Constant Highway Networks and Reflective
Confidence Learning | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present an improved three-step pipeline for the stereo matching problem
and introduce multiple novelties at each stage. We propose a new highway
network architecture for computing the matching cost at each possible
disparity, based on multilevel weighted residual shortcuts, trained with a
hybrid loss that supports... | [
{
"created": "Sat, 31 Dec 2016 20:24:16 GMT",
"version": "v1"
}
] | 2017-01-03 | [
[
"Shaked",
"Amit",
""
],
[
"Wolf",
"Lior",
""
]
] | We present an improved three-step pipeline for the stereo matching problem and introduce multiple novelties at each stage. We propose a new highway network architecture for computing the matching cost at each possible disparity, based on multilevel weighted residual shortcuts, trained with a hybrid loss that supports m... |
2403.01081 | Akash Srivastava | Shivchander Sudalairaj, Abhishek Bhandwaldar, Aldo Pareja, Kai Xu,
David D. Cox, Akash Srivastava | LAB: Large-Scale Alignment for ChatBots | Corresponding Author: Akash Srivastava. Equal Contribution:
Shivchander Sudalairaj, Abhishek Bhandwaldar, Aldo Pareja, Akash Srivastava,
Code: https://github.com/instructlab | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | This work introduces LAB (Large-scale Alignment for chatBots), a novel
methodology designed to overcome the scalability challenges in the
instruction-tuning phase of large language model (LLM) training. Leveraging a
taxonomy-guided synthetic data generation process and a multi-phase tuning
framework, LAB significantl... | [
{
"created": "Sat, 2 Mar 2024 03:48:37 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Mar 2024 22:25:44 GMT",
"version": "v2"
},
{
"created": "Mon, 29 Apr 2024 18:55:34 GMT",
"version": "v3"
}
] | 2024-05-01 | [
[
"Sudalairaj",
"Shivchander",
""
],
[
"Bhandwaldar",
"Abhishek",
""
],
[
"Pareja",
"Aldo",
""
],
[
"Xu",
"Kai",
""
],
[
"Cox",
"David D.",
""
],
[
"Srivastava",
"Akash",
""
]
] | This work introduces LAB (Large-scale Alignment for chatBots), a novel methodology designed to overcome the scalability challenges in the instruction-tuning phase of large language model (LLM) training. Leveraging a taxonomy-guided synthetic data generation process and a multi-phase tuning framework, LAB significantly ... |
2109.07672 | Malek Mouhoub | Munira Al-Ageili and Malek Mouhoub | An Ontology-Based Information Extraction System for Residential Land Use
Suitability Analysis | 17 pages, 18 figures | null | null | null | cs.AI cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We propose an Ontology-Based Information Extraction (OBIE) system to automate
the extraction of the criteria and values applied in Land Use Suitability
Analysis (LUSA) from bylaw and regulation documents related to the geographic
area of interest. The results obtained by our proposed LUSA OBIE system (land
use suitab... | [
{
"created": "Thu, 16 Sep 2021 02:18:30 GMT",
"version": "v1"
}
] | 2021-09-17 | [
[
"Al-Ageili",
"Munira",
""
],
[
"Mouhoub",
"Malek",
""
]
] | We propose an Ontology-Based Information Extraction (OBIE) system to automate the extraction of the criteria and values applied in Land Use Suitability Analysis (LUSA) from bylaw and regulation documents related to the geographic area of interest. The results obtained by our proposed LUSA OBIE system (land use suitabil... |
1308.4978 | Daniel Graziotin | Xiaofeng Wang, Daniel Graziotin, Juha Rikkil\"a, and Pekka Abrahamsson
(Free University of Bozen-Bolzano) | Traverse the landscape of the mind by walking: an exploration of a new
brainstorming practice | 12 pages, 2 figures. Pilot study conducted to better understand a new
brainstorming technique. Full study will follow | null | 10.7287/peerj.preprints.51v1 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Group brainstorming is a well-known idea generation technique, which plays a
key role in software development processes. Despite this, the relevant
literature has had little to offer in advancing our understanding of the
effectiveness of group brainstorming sessions. In this paper we present a
research-in-progress on... | [
{
"created": "Thu, 22 Aug 2013 20:00:21 GMT",
"version": "v1"
}
] | 2013-08-26 | [
[
"Wang",
"Xiaofeng",
"",
"Free University of Bozen-Bolzano"
],
[
"Graziotin",
"Daniel",
"",
"Free University of Bozen-Bolzano"
],
[
"Rikkilä",
"Juha",
"",
"Free University of Bozen-Bolzano"
],
[
"Abrahamsson",
"Pekka",
"",
"Free University... | Group brainstorming is a well-known idea generation technique, which plays a key role in software development processes. Despite this, the relevant literature has had little to offer in advancing our understanding of the effectiveness of group brainstorming sessions. In this paper we present a research-in-progress on b... |
1801.09036 | Wlodek Zadrozny | Wlodek Zadrozny and Luciana Garbayo | A Sheaf Model of Contradictions and Disagreements. Preliminary Report
and Discussion | This paper was presented at ISAIM 2018, International Symposium on
Artificial Intelligence and Mathematics. Fort Lauderdale, FL. January 3 5,
2018. Minor typographical errors have been corrected | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a new formal model -- based on the mathematical construct of
sheaves -- for representing contradictory information in textual sources. This
model has the advantage of letting us (a) identify the causes of the
inconsistency; (b) measure how strong it is; (c) and do something about it,
e.g. suggest ways to... | [
{
"created": "Sat, 27 Jan 2018 05:13:55 GMT",
"version": "v1"
}
] | 2018-01-30 | [
[
"Zadrozny",
"Wlodek",
""
],
[
"Garbayo",
"Luciana",
""
]
] | We introduce a new formal model -- based on the mathematical construct of sheaves -- for representing contradictory information in textual sources. This model has the advantage of letting us (a) identify the causes of the inconsistency; (b) measure how strong it is; (c) and do something about it, e.g. suggest ways to r... |
2310.07765 | Yonatan Kahn | Hannah Day, Yonatan Kahn, Daniel A. Roberts | Feature Learning and Generalization in Deep Networks with Orthogonal
Weights | v2: numerical experiments updated with more data, plots updated to
match, conclusions unchanged. 30+12 pages, 20 figures | null | null | MIT-CTP/5625 | cs.LG hep-ph hep-th stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Fully-connected deep neural networks with weights initialized from
independent Gaussian distributions can be tuned to criticality, which prevents
the exponential growth or decay of signals propagating through the network.
However, such networks still exhibit fluctuations that grow linearly with the
depth of the netwo... | [
{
"created": "Wed, 11 Oct 2023 18:00:02 GMT",
"version": "v1"
},
{
"created": "Wed, 12 Jun 2024 14:57:56 GMT",
"version": "v2"
}
] | 2024-06-13 | [
[
"Day",
"Hannah",
""
],
[
"Kahn",
"Yonatan",
""
],
[
"Roberts",
"Daniel A.",
""
]
] | Fully-connected deep neural networks with weights initialized from independent Gaussian distributions can be tuned to criticality, which prevents the exponential growth or decay of signals propagating through the network. However, such networks still exhibit fluctuations that grow linearly with the depth of the network... |
1106.6242 | Sandeep Katta | Sandeep Katta | Visual Secret Sharing Scheme using Grayscale Images | 6 pages, 2 figures | null | null | null | cs.CR cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pixel expansion and the quality of the reconstructed secret image has been a
major issue of visual secret sharing (VSS) schemes. A number of probabilistic
VSS schemes with minimum pixel expansion have been proposed for black and white
(binary) secret images. This paper presents a probabilistic (2, 3)-VSS scheme
for g... | [
{
"created": "Thu, 30 Jun 2011 14:25:46 GMT",
"version": "v1"
}
] | 2011-07-01 | [
[
"Katta",
"Sandeep",
""
]
] | Pixel expansion and the quality of the reconstructed secret image has been a major issue of visual secret sharing (VSS) schemes. A number of probabilistic VSS schemes with minimum pixel expansion have been proposed for black and white (binary) secret images. This paper presents a probabilistic (2, 3)-VSS scheme for gra... |
2106.04546 | Yuan Yin | Yuan Yin, Ibrahim Ayed, Emmanuel de B\'ezenac, Nicolas Baskiotis,
Patrick Gallinari | LEADS: Learning Dynamical Systems that Generalize Across Environments | Published at NeurIPS 2021 | null | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | When modeling dynamical systems from real-world data samples, the
distribution of data often changes according to the environment in which they
are captured, and the dynamics of the system itself vary from one environment
to another. Generalizing across environments thus challenges the conventional
frameworks. The cl... | [
{
"created": "Tue, 8 Jun 2021 17:28:19 GMT",
"version": "v1"
},
{
"created": "Mon, 14 Feb 2022 13:46:57 GMT",
"version": "v2"
}
] | 2022-02-15 | [
[
"Yin",
"Yuan",
""
],
[
"Ayed",
"Ibrahim",
""
],
[
"de Bézenac",
"Emmanuel",
""
],
[
"Baskiotis",
"Nicolas",
""
],
[
"Gallinari",
"Patrick",
""
]
] | When modeling dynamical systems from real-world data samples, the distribution of data often changes according to the environment in which they are captured, and the dynamics of the system itself vary from one environment to another. Generalizing across environments thus challenges the conventional frameworks. The clas... |
2209.09652 | Chengyin Hu | Chengyin Hu, Weiwen Shi, Ling Tian | Adversarial Color Projection: A Projector-based Physical Attack to DNNs | arXiv admin note: substantial text overlap with arXiv:2209.02430 | null | null | null | cs.CR cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent research has demonstrated that deep neural networks (DNNs) are
vulnerable to adversarial perturbations. Therefore, it is imperative to
evaluate the resilience of advanced DNNs to adversarial attacks. However,
traditional methods that use stickers as physical perturbations to deceive
classifiers face challenges... | [
{
"created": "Mon, 19 Sep 2022 12:27:32 GMT",
"version": "v1"
},
{
"created": "Tue, 23 May 2023 11:56:41 GMT",
"version": "v2"
}
] | 2023-05-24 | [
[
"Hu",
"Chengyin",
""
],
[
"Shi",
"Weiwen",
""
],
[
"Tian",
"Ling",
""
]
] | Recent research has demonstrated that deep neural networks (DNNs) are vulnerable to adversarial perturbations. Therefore, it is imperative to evaluate the resilience of advanced DNNs to adversarial attacks. However, traditional methods that use stickers as physical perturbations to deceive classifiers face challenges i... |
2003.13045 | Liang Liu | Liang Liu, Jiangning Zhang, Ruifei He, Yong Liu, Yabiao Wang, Ying
Tai, Donghao Luo, Chengjie Wang, Jilin Li, Feiyue Huang | Learning by Analogy: Reliable Supervision from Transformations for
Unsupervised Optical Flow Estimation | Accepted to CVPR 2020, https://github.com/lliuz/ARFlow | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Unsupervised learning of optical flow, which leverages the supervision from
view synthesis, has emerged as a promising alternative to supervised methods.
However, the objective of unsupervised learning is likely to be unreliable in
challenging scenes. In this work, we present a framework to use more reliable
supervis... | [
{
"created": "Sun, 29 Mar 2020 14:55:24 GMT",
"version": "v1"
},
{
"created": "Sun, 29 Nov 2020 12:26:25 GMT",
"version": "v2"
}
] | 2020-12-01 | [
[
"Liu",
"Liang",
""
],
[
"Zhang",
"Jiangning",
""
],
[
"He",
"Ruifei",
""
],
[
"Liu",
"Yong",
""
],
[
"Wang",
"Yabiao",
""
],
[
"Tai",
"Ying",
""
],
[
"Luo",
"Donghao",
""
],
[
"Wang",
"Chengjie"... | Unsupervised learning of optical flow, which leverages the supervision from view synthesis, has emerged as a promising alternative to supervised methods. However, the objective of unsupervised learning is likely to be unreliable in challenging scenes. In this work, we present a framework to use more reliable supervisio... |
2404.01203 | Siddhant Jain | Siddhant Jain, Daniel Watson, Eric Tabellion, Aleksander
Ho{\l}y\'nski, Ben Poole, Janne Kontkanen | Video Interpolation with Diffusion Models | CVPR 2024, Project page at https://vidim-interpolation.github.io/ | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | We present VIDIM, a generative model for video interpolation, which creates
short videos given a start and end frame. In order to achieve high fidelity and
generate motions unseen in the input data, VIDIM uses cascaded diffusion models
to first generate the target video at low resolution, and then generate the
high-r... | [
{
"created": "Mon, 1 Apr 2024 15:59:32 GMT",
"version": "v1"
}
] | 2024-04-02 | [
[
"Jain",
"Siddhant",
""
],
[
"Watson",
"Daniel",
""
],
[
"Tabellion",
"Eric",
""
],
[
"Hołyński",
"Aleksander",
""
],
[
"Poole",
"Ben",
""
],
[
"Kontkanen",
"Janne",
""
]
] | We present VIDIM, a generative model for video interpolation, which creates short videos given a start and end frame. In order to achieve high fidelity and generate motions unseen in the input data, VIDIM uses cascaded diffusion models to first generate the target video at low resolution, and then generate the high-res... |
1112.1828 | L\'aszl\'o Kozma | Laszlo Kozma | Minimum Average Distance Triangulations | ESA 2012 | null | null | null | cs.CG cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of finding a triangulation T of a planar point set S
such as to minimize the expected distance between two points x and y chosen
uniformly at random from S. By distance we mean the length of the shortest path
between x and y along edges of T. The length of a path is the sum of the
weights of its ... | [
{
"created": "Thu, 8 Dec 2011 13:19:24 GMT",
"version": "v1"
},
{
"created": "Mon, 20 Feb 2012 16:35:46 GMT",
"version": "v2"
},
{
"created": "Wed, 20 Jun 2012 13:18:20 GMT",
"version": "v3"
}
] | 2012-06-21 | [
[
"Kozma",
"Laszlo",
""
]
] | We study the problem of finding a triangulation T of a planar point set S such as to minimize the expected distance between two points x and y chosen uniformly at random from S. By distance we mean the length of the shortest path between x and y along edges of T. The length of a path is the sum of the weights of its ed... |
2312.12466 | Santhosh Pogaku | Santhosh Pogaku | Users Approach on Providing Feedback for Smart Home Devices | arXiv admin note: text overlap with arXiv:2312.11817 | null | null | null | cs.HC cs.CL | http://creativecommons.org/licenses/by/4.0/ | Smart Home technology has accomplished extraordinary interest in making
individuals' lives more straightforward and more relaxing as of late.
Technology as of late brought about delivering numerous savvy and refined
frameworks which advanced clever living innovation. In this paper, we will be
investigating the behavi... | [
{
"created": "Tue, 19 Dec 2023 03:18:12 GMT",
"version": "v1"
}
] | 2023-12-21 | [
[
"Pogaku",
"Santhosh",
""
]
] | Smart Home technology has accomplished extraordinary interest in making individuals' lives more straightforward and more relaxing as of late. Technology as of late brought about delivering numerous savvy and refined frameworks which advanced clever living innovation. In this paper, we will be investigating the behaviou... |
2404.07336 | Prashant Mathur | Lucas Goncalves, Prashant Mathur, Chandrashekhar Lavania, Metehan
Cekic, Marcello Federico, Kyu J. Han | PEAVS: Perceptual Evaluation of Audio-Visual Synchrony Grounded in
Viewers' Opinion Scores | 24 pages | null | null | null | cs.CV cs.MM eess.AS | http://creativecommons.org/licenses/by/4.0/ | Recent advancements in audio-visual generative modeling have been propelled
by progress in deep learning and the availability of data-rich benchmarks.
However, the growth is not attributed solely to models and benchmarks.
Universally accepted evaluation metrics also play an important role in
advancing the field. Whil... | [
{
"created": "Wed, 10 Apr 2024 20:32:24 GMT",
"version": "v1"
}
] | 2024-04-12 | [
[
"Goncalves",
"Lucas",
""
],
[
"Mathur",
"Prashant",
""
],
[
"Lavania",
"Chandrashekhar",
""
],
[
"Cekic",
"Metehan",
""
],
[
"Federico",
"Marcello",
""
],
[
"Han",
"Kyu J.",
""
]
] | Recent advancements in audio-visual generative modeling have been propelled by progress in deep learning and the availability of data-rich benchmarks. However, the growth is not attributed solely to models and benchmarks. Universally accepted evaluation metrics also play an important role in advancing the field. While ... |
2309.08794 | Deval Mehta | Deval Mehta, Shobi Sivathamboo, Hugh Simpson, Patrick Kwan, Terence
O`Brien, Zongyuan Ge | Privacy-preserving Early Detection of Epileptic Seizures in Videos | Accepted to MICCAI 2023 | null | null | null | cs.AI cs.CV | http://creativecommons.org/licenses/by/4.0/ | In this work, we contribute towards the development of video-based epileptic
seizure classification by introducing a novel framework (SETR-PKD), which could
achieve privacy-preserved early detection of seizures in videos. Specifically,
our framework has two significant components - (1) It is built upon optical
flow f... | [
{
"created": "Fri, 15 Sep 2023 22:29:07 GMT",
"version": "v1"
}
] | 2023-09-19 | [
[
"Mehta",
"Deval",
""
],
[
"Sivathamboo",
"Shobi",
""
],
[
"Simpson",
"Hugh",
""
],
[
"Kwan",
"Patrick",
""
],
[
"O`Brien",
"Terence",
""
],
[
"Ge",
"Zongyuan",
""
]
] | In this work, we contribute towards the development of video-based epileptic seizure classification by introducing a novel framework (SETR-PKD), which could achieve privacy-preserved early detection of seizures in videos. Specifically, our framework has two significant components - (1) It is built upon optical flow fea... |
2403.12706 | Shanchuan Lin | Shanchuan Lin, Xiao Yang | AnimateDiff-Lightning: Cross-Model Diffusion Distillation | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | We present AnimateDiff-Lightning for lightning-fast video generation. Our
model uses progressive adversarial diffusion distillation to achieve new
state-of-the-art in few-step video generation. We discuss our modifications to
adapt it for the video modality. Furthermore, we propose to simultaneously
distill the proba... | [
{
"created": "Tue, 19 Mar 2024 13:08:54 GMT",
"version": "v1"
}
] | 2024-03-20 | [
[
"Lin",
"Shanchuan",
""
],
[
"Yang",
"Xiao",
""
]
] | We present AnimateDiff-Lightning for lightning-fast video generation. Our model uses progressive adversarial diffusion distillation to achieve new state-of-the-art in few-step video generation. We discuss our modifications to adapt it for the video modality. Furthermore, we propose to simultaneously distill the probabi... |
cs/0306063 | Dantong Yu | Richard Baker, Dantong Yu, Tomasz Wlodek | A Model for Grid User Management | Talk from the 2003 Computing in High Energy and Nuclear Physics
(CHEP03), La Jolla, Ca, USA, March 2003, 6 pages, 2 figures and 1 style file,
PSN TUBT002 | null | null | null | cs.DC | null | Registration and management of users in a large scale Grid computing
environment presents new challenges that are not well addressed by existing
protocols. Within a single Virtual Organization (VO), thousands of users will
potentially need access to hundreds of computing sites, and the traditional
model where users r... | [
{
"created": "Fri, 13 Jun 2003 17:01:45 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Baker",
"Richard",
""
],
[
"Yu",
"Dantong",
""
],
[
"Wlodek",
"Tomasz",
""
]
] | Registration and management of users in a large scale Grid computing environment presents new challenges that are not well addressed by existing protocols. Within a single Virtual Organization (VO), thousands of users will potentially need access to hundreds of computing sites, and the traditional model where users reg... |
1903.03036 | David McDonald | David McDonald and Shan He | HEAT: Hyperbolic Embedding of Attributed Networks | 15 pages, 4 figures | null | null | null | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Finding a low dimensional representation of hierarchical, structured data
described by a network remains a challenging problem in the machine learning
community. An emerging approach is embedding these networks into hyperbolic
space because it can naturally represent a network's hierarchical structure.
However, exist... | [
{
"created": "Thu, 7 Mar 2019 16:50:26 GMT",
"version": "v1"
},
{
"created": "Thu, 2 May 2019 11:17:22 GMT",
"version": "v2"
}
] | 2019-05-03 | [
[
"McDonald",
"David",
""
],
[
"He",
"Shan",
""
]
] | Finding a low dimensional representation of hierarchical, structured data described by a network remains a challenging problem in the machine learning community. An emerging approach is embedding these networks into hyperbolic space because it can naturally represent a network's hierarchical structure. However, existin... |
2206.12946 | Nimet Kaygusuz | Nimet Kaygusuz, Oscar Mendez, Richard Bowden | AFT-VO: Asynchronous Fusion Transformers for Multi-View Visual Odometry
Estimation | null | null | null | null | cs.CV cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Motion estimation approaches typically employ sensor fusion techniques, such
as the Kalman Filter, to handle individual sensor failures. More recently, deep
learning-based fusion approaches have been proposed, increasing the performance
and requiring less model-specific implementations. However, current deep fusion
a... | [
{
"created": "Sun, 26 Jun 2022 19:29:08 GMT",
"version": "v1"
},
{
"created": "Fri, 16 Sep 2022 13:47:18 GMT",
"version": "v2"
}
] | 2022-09-19 | [
[
"Kaygusuz",
"Nimet",
""
],
[
"Mendez",
"Oscar",
""
],
[
"Bowden",
"Richard",
""
]
] | Motion estimation approaches typically employ sensor fusion techniques, such as the Kalman Filter, to handle individual sensor failures. More recently, deep learning-based fusion approaches have been proposed, increasing the performance and requiring less model-specific implementations. However, current deep fusion app... |
2111.07271 | Auriol Degbelo | Lucas Braun, Auriol Degbelo, Christian Kray | Geofreebie: A Location-Based Freecycling App to Support Forced Migrant
Resettlement | Article accepted for publication in the Journal of Location-based
Services | null | 10.1080/17489725.2021.1874553 | null | cs.HC | http://creativecommons.org/licenses/by/4.0/ | Germany has witnessed an influx of forced migrants in recent years. Promoting
social interaction with the local community is key to supporting the
resettlement of these newcomers. Location-based freecycling services present
important benefits due to freecycling's potential to bolster social engagement
and location-ba... | [
{
"created": "Sun, 14 Nov 2021 08:12:46 GMT",
"version": "v1"
}
] | 2021-11-16 | [
[
"Braun",
"Lucas",
""
],
[
"Degbelo",
"Auriol",
""
],
[
"Kray",
"Christian",
""
]
] | Germany has witnessed an influx of forced migrants in recent years. Promoting social interaction with the local community is key to supporting the resettlement of these newcomers. Location-based freecycling services present important benefits due to freecycling's potential to bolster social engagement and location-base... |
cs/0406033 | Manor Mendel | Manor Mendel | Randomized k-server algorithms for growth-rate bounded graphs | The paper is withdrawn | J. Algorithms, 55(2): 192-202, 2005 | 10.1016/j.jalgor.2004.06.002 | null | cs.DS | null | The paper referred to in the title is withdrawn.
| [
{
"created": "Thu, 17 Jun 2004 15:11:54 GMT",
"version": "v1"
},
{
"created": "Fri, 28 Sep 2007 22:31:51 GMT",
"version": "v2"
}
] | 2007-10-01 | [
[
"Mendel",
"Manor",
""
]
] | The paper referred to in the title is withdrawn. |
1901.01651 | Gary Pui-Tung Choi | Gary P. T. Choi, Hei Long Chan, Robin Yong, Sarbin Ranjitkar, Alan
Brook, Grant Townsend, Ke Chen, Lok Ming Lui | Tooth morphometry using quasi-conformal theory | null | Pattern Recognition 99, 107064 (2020) | 10.1016/j.patcog.2019.107064 | null | cs.CV cs.CG q-bio.QM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Shape analysis is important in anthropology, bioarchaeology and forensic
science for interpreting useful information from human remains. In particular,
teeth are morphologically stable and hence well-suited for shape analysis. In
this work, we propose a framework for tooth morphometry using quasi-conformal
theory. La... | [
{
"created": "Mon, 7 Jan 2019 03:00:12 GMT",
"version": "v1"
}
] | 2020-02-10 | [
[
"Choi",
"Gary P. T.",
""
],
[
"Chan",
"Hei Long",
""
],
[
"Yong",
"Robin",
""
],
[
"Ranjitkar",
"Sarbin",
""
],
[
"Brook",
"Alan",
""
],
[
"Townsend",
"Grant",
""
],
[
"Chen",
"Ke",
""
],
[
"Lui",
... | Shape analysis is important in anthropology, bioarchaeology and forensic science for interpreting useful information from human remains. In particular, teeth are morphologically stable and hence well-suited for shape analysis. In this work, we propose a framework for tooth morphometry using quasi-conformal theory. Land... |
2308.09866 | Junyan Su | Junyan Su, Qiulin Lin, Minghua Chen, Haibo Zeng | Minimizing Carbon Footprint for Timely E-Truck Transportation: Hardness
and Approximation Algorithm | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Carbon footprint optimization (CFO) is important for sustainable heavy-duty
e-truck transportation. We consider the CFO problem for timely transportation
of e-trucks, where the truck travels from an origin to a destination across a
national highway network subject to a deadline. The goal is to minimize the
carbon foo... | [
{
"created": "Sat, 19 Aug 2023 00:59:17 GMT",
"version": "v1"
}
] | 2023-08-22 | [
[
"Su",
"Junyan",
""
],
[
"Lin",
"Qiulin",
""
],
[
"Chen",
"Minghua",
""
],
[
"Zeng",
"Haibo",
""
]
] | Carbon footprint optimization (CFO) is important for sustainable heavy-duty e-truck transportation. We consider the CFO problem for timely transportation of e-trucks, where the truck travels from an origin to a destination across a national highway network subject to a deadline. The goal is to minimize the carbon footp... |
2310.01292 | Luyi Qiu | Luyi Qiu and Dayu Yu and Xiaofeng Zhang and Chenxiao Zhang | Efficient Remote Sensing Segmentation With Generative Adversarial
Transformer | null | null | null | null | cs.CV cs.LG eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most deep learning methods that achieve high segmentation accuracy require
deep network architectures that are too heavy and complex to run on embedded
devices with limited storage and memory space. To address this issue, this
paper proposes an efficient Generative Adversarial Transfomer (GATrans) for
achieving high-... | [
{
"created": "Mon, 2 Oct 2023 15:46:59 GMT",
"version": "v1"
}
] | 2023-10-03 | [
[
"Qiu",
"Luyi",
""
],
[
"Yu",
"Dayu",
""
],
[
"Zhang",
"Xiaofeng",
""
],
[
"Zhang",
"Chenxiao",
""
]
] | Most deep learning methods that achieve high segmentation accuracy require deep network architectures that are too heavy and complex to run on embedded devices with limited storage and memory space. To address this issue, this paper proposes an efficient Generative Adversarial Transfomer (GATrans) for achieving high-pr... |
2103.13188 | Alexander Venus MSc | Alexander Venus, Erik Leitinger, Stefan Tertinek and Klaus Witrisal | A Message Passing based Adaptive PDA Algorithm for Robust Radio-based
Localization and Tracking | 6 pages (two column), 6 figures, IEEE RadarConf 2021: Synergistic
Radar Signal Processing and Tracking | null | null | null | cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | We present a message passing algorithm for localization and tracking in
multipath-prone environments that implicitly considers obstructed line-of-sight
situations. The proposed adaptive probabilistic data association algorithm
infers the position of a mobile agent using multiple anchors by utilizing delay
and amplitu... | [
{
"created": "Wed, 24 Mar 2021 13:43:34 GMT",
"version": "v1"
},
{
"created": "Thu, 25 Mar 2021 12:06:28 GMT",
"version": "v2"
}
] | 2021-03-26 | [
[
"Venus",
"Alexander",
""
],
[
"Leitinger",
"Erik",
""
],
[
"Tertinek",
"Stefan",
""
],
[
"Witrisal",
"Klaus",
""
]
] | We present a message passing algorithm for localization and tracking in multipath-prone environments that implicitly considers obstructed line-of-sight situations. The proposed adaptive probabilistic data association algorithm infers the position of a mobile agent using multiple anchors by utilizing delay and amplitude... |
2104.02995 | Qingqing Long | Qingqing Long, Yilun Jin, Yi Wu, Guojie Song | Theoretically Improving Graph Neural Networks via Anonymous Walk Graph
Kernels | 11 pages | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph neural networks (GNNs) have achieved tremendous success in graph
mining. However, the inability of GNNs to model substructures in graphs remains
a significant drawback. Specifically, message-passing GNNs (MPGNNs), as the
prevailing type of GNNs, have been theoretically shown unable to distinguish,
detect or cou... | [
{
"created": "Wed, 7 Apr 2021 08:50:34 GMT",
"version": "v1"
}
] | 2021-04-08 | [
[
"Long",
"Qingqing",
""
],
[
"Jin",
"Yilun",
""
],
[
"Wu",
"Yi",
""
],
[
"Song",
"Guojie",
""
]
] | Graph neural networks (GNNs) have achieved tremendous success in graph mining. However, the inability of GNNs to model substructures in graphs remains a significant drawback. Specifically, message-passing GNNs (MPGNNs), as the prevailing type of GNNs, have been theoretically shown unable to distinguish, detect or count... |
2311.10785 | Federico Albanese | Federico Albanese and Daniel Ciolek and Nicolas D'Ippolito | Text Sanitization Beyond Specific Domains: Zero-Shot Redaction &
Substitution with Large Language Models | null | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the context of information systems, text sanitization techniques are used
to identify and remove sensitive data to comply with security and regulatory
requirements. Even though many methods for privacy preservation have been
proposed, most of them are focused on the detection of entities from specific
domains (e.g... | [
{
"created": "Thu, 16 Nov 2023 18:42:37 GMT",
"version": "v1"
}
] | 2023-11-21 | [
[
"Albanese",
"Federico",
""
],
[
"Ciolek",
"Daniel",
""
],
[
"D'Ippolito",
"Nicolas",
""
]
] | In the context of information systems, text sanitization techniques are used to identify and remove sensitive data to comply with security and regulatory requirements. Even though many methods for privacy preservation have been proposed, most of them are focused on the detection of entities from specific domains (e.g.,... |
2401.03552 | Vinod Puthuvath | Sameera K. M., Serena Nicolazzo, Marco Arazzi, Antonino Nocera,
Rafidha Rehiman K. A., Vinod P and Mauro Conti | Privacy-Preserving in Blockchain-based Federated Learning Systems | 44 pages, 11 figures | null | null | null | cs.CR cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Federated Learning (FL) has recently arisen as a revolutionary approach to
collaborative training Machine Learning models. According to this novel
framework, multiple participants train a global model collaboratively,
coordinating with a central aggregator without sharing their local data. As FL
gains popularity in d... | [
{
"created": "Sun, 7 Jan 2024 17:23:55 GMT",
"version": "v1"
}
] | 2024-01-09 | [
[
"M.",
"Sameera K.",
""
],
[
"Nicolazzo",
"Serena",
""
],
[
"Arazzi",
"Marco",
""
],
[
"Nocera",
"Antonino",
""
],
[
"A.",
"Rafidha Rehiman K.",
""
],
[
"P",
"Vinod",
""
],
[
"Conti",
"Mauro",
""
]
] | Federated Learning (FL) has recently arisen as a revolutionary approach to collaborative training Machine Learning models. According to this novel framework, multiple participants train a global model collaboratively, coordinating with a central aggregator without sharing their local data. As FL gains popularity in div... |
1905.11471 | Jasdeep Singh | Jasdeep Singh, Bryan McCann, Nitish Shirish Keskar, Caiming Xiong,
Richard Socher | XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and
Question Answering | null | null | null | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While natural language processing systems often focus on a single language,
multilingual transfer learning has the potential to improve performance,
especially for low-resource languages. We introduce XLDA, cross-lingual data
augmentation, a method that replaces a segment of the input text with its
translation in ano... | [
{
"created": "Mon, 27 May 2019 19:44:33 GMT",
"version": "v1"
}
] | 2019-05-29 | [
[
"Singh",
"Jasdeep",
""
],
[
"McCann",
"Bryan",
""
],
[
"Keskar",
"Nitish Shirish",
""
],
[
"Xiong",
"Caiming",
""
],
[
"Socher",
"Richard",
""
]
] | While natural language processing systems often focus on a single language, multilingual transfer learning has the potential to improve performance, especially for low-resource languages. We introduce XLDA, cross-lingual data augmentation, a method that replaces a segment of the input text with its translation in anoth... |
2210.07071 | Yunhua Zhou | Yunhua Zhou, Pengyu Wang, Peiju Liu, Yuxin Wang, Xipeng Qiu | The Open-World Lottery Ticket Hypothesis for OOD Intent Classification | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most existing methods of Out-of-Domain (OOD) intent classification rely on
extensive auxiliary OOD corpora or specific training paradigms. However, they
are underdeveloped in the underlying principle that the models should have
differentiated confidence in In- and Out-of-domain intent. In this work, we
shed light on ... | [
{
"created": "Thu, 13 Oct 2022 14:58:35 GMT",
"version": "v1"
},
{
"created": "Mon, 15 Apr 2024 13:42:13 GMT",
"version": "v2"
},
{
"created": "Wed, 24 Apr 2024 02:37:55 GMT",
"version": "v3"
}
] | 2024-04-25 | [
[
"Zhou",
"Yunhua",
""
],
[
"Wang",
"Pengyu",
""
],
[
"Liu",
"Peiju",
""
],
[
"Wang",
"Yuxin",
""
],
[
"Qiu",
"Xipeng",
""
]
] | Most existing methods of Out-of-Domain (OOD) intent classification rely on extensive auxiliary OOD corpora or specific training paradigms. However, they are underdeveloped in the underlying principle that the models should have differentiated confidence in In- and Out-of-domain intent. In this work, we shed light on th... |
2006.03659 | John Giorgi | John Giorgi, Osvald Nitski, Bo Wang, Gary Bader | DeCLUTR: Deep Contrastive Learning for Unsupervised Textual
Representations | ACL2021 Camera Ready V2 | null | null | null | cs.CL cs.LG | http://creativecommons.org/publicdomain/zero/1.0/ | Sentence embeddings are an important component of many natural language
processing (NLP) systems. Like word embeddings, sentence embeddings are
typically learned on large text corpora and then transferred to various
downstream tasks, such as clustering and retrieval. Unlike word embeddings, the
highest performing sol... | [
{
"created": "Fri, 5 Jun 2020 20:00:28 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Jun 2020 20:24:17 GMT",
"version": "v2"
},
{
"created": "Thu, 20 May 2021 19:47:53 GMT",
"version": "v3"
},
{
"created": "Thu, 27 May 2021 14:57:02 GMT",
"version": "v4"
}
] | 2021-05-28 | [
[
"Giorgi",
"John",
""
],
[
"Nitski",
"Osvald",
""
],
[
"Wang",
"Bo",
""
],
[
"Bader",
"Gary",
""
]
] | Sentence embeddings are an important component of many natural language processing (NLP) systems. Like word embeddings, sentence embeddings are typically learned on large text corpora and then transferred to various downstream tasks, such as clustering and retrieval. Unlike word embeddings, the highest performing solut... |
1910.13181 | Talip Ucar | Talip Ucar | Bridging the ELBO and MMD | 14 pages, 11 figures | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | One of the challenges in training generative models such as the variational
auto encoder (VAE) is avoiding posterior collapse. When the generator has too
much capacity, it is prone to ignoring latent code. This problem is exacerbated
when the dataset is small, and the latent dimension is high. The root of the
problem... | [
{
"created": "Tue, 29 Oct 2019 10:32:40 GMT",
"version": "v1"
}
] | 2019-10-30 | [
[
"Ucar",
"Talip",
""
]
] | One of the challenges in training generative models such as the variational auto encoder (VAE) is avoiding posterior collapse. When the generator has too much capacity, it is prone to ignoring latent code. This problem is exacerbated when the dataset is small, and the latent dimension is high. The root of the problem i... |
1707.06070 | Nicolas Robinson-Garcia | Nicolas Robinson-Garcia, Philippe Mongeon, Wei Jeng and Rodrigo Costas | DataCite as a novel bibliometric source: Coverage, strengths and
limitations | Paper accepted for publication in Journal of Informetrics | Journal of Informetrics, 11(3), 841-854 (2017) | 10.1016/j.joi.2017.07.003 | null | cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper explores the characteristics of DataCite to determine its
possibilities and potential as a new bibliometric data source to analyze the
scholarly production of open data. Open science and the increasing data sharing
requirements from governments, funding bodies, institutions and scientific
journals has led ... | [
{
"created": "Wed, 19 Jul 2017 13:14:44 GMT",
"version": "v1"
}
] | 2017-10-13 | [
[
"Robinson-Garcia",
"Nicolas",
""
],
[
"Mongeon",
"Philippe",
""
],
[
"Jeng",
"Wei",
""
],
[
"Costas",
"Rodrigo",
""
]
] | This paper explores the characteristics of DataCite to determine its possibilities and potential as a new bibliometric data source to analyze the scholarly production of open data. Open science and the increasing data sharing requirements from governments, funding bodies, institutions and scientific journals has led to... |
1605.00031 | Thomas Wiatowski | Philipp Grohs, Thomas Wiatowski, Helmut B\"olcskei | Deep Convolutional Neural Networks on Cartoon Functions | This is a slightly updated version of the paper published in the ISIT
proceedings. Specifically, we corrected errors in the arguments on the volume
of tubes. Note that this correction does not affect the main statements of
the paper | Proc. of IEEE International Symposium on Information Theory
(ISIT), Barcelona, Spain, pp. 1163-1167, July 2016 | 10.1109/ISIT.2016.7541482 | null | cs.LG cs.CV math.NA stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Wiatowski and B\"olcskei, 2015, proved that deformation stability and
vertical translation invariance of deep convolutional neural network-based
feature extractors are guaranteed by the network structure per se rather than
the specific convolution kernels and non-linearities. While the translation
invariance result a... | [
{
"created": "Fri, 29 Apr 2016 21:40:16 GMT",
"version": "v1"
},
{
"created": "Mon, 12 Feb 2018 13:47:49 GMT",
"version": "v2"
}
] | 2018-02-13 | [
[
"Grohs",
"Philipp",
""
],
[
"Wiatowski",
"Thomas",
""
],
[
"Bölcskei",
"Helmut",
""
]
] | Wiatowski and B\"olcskei, 2015, proved that deformation stability and vertical translation invariance of deep convolutional neural network-based feature extractors are guaranteed by the network structure per se rather than the specific convolution kernels and non-linearities. While the translation invariance result app... |
cs/0605041 | Jian Cao | Jian Cao, Edmund M. Yeh | Asymptotically Optimal Multiple-access Communication via Distributed
Rate Splitting | Submitted to the IEEE Transactions on Information Theory. 15 Pages | null | 10.1109/TIT.2006.887497 | null | cs.IT math.IT | null | We consider the multiple-access communication problem in a distributed
setting for both the additive white Gaussian noise channel and the discrete
memoryless channel. We propose a scheme called Distributed Rate Splitting to
achieve the optimal rates allowed by information theory in a distributed
manner. In this schem... | [
{
"created": "Tue, 9 May 2006 14:32:51 GMT",
"version": "v1"
},
{
"created": "Tue, 3 Oct 2006 19:48:15 GMT",
"version": "v2"
}
] | 2016-11-18 | [
[
"Cao",
"Jian",
""
],
[
"Yeh",
"Edmund M.",
""
]
] | We consider the multiple-access communication problem in a distributed setting for both the additive white Gaussian noise channel and the discrete memoryless channel. We propose a scheme called Distributed Rate Splitting to achieve the optimal rates allowed by information theory in a distributed manner. In this scheme,... |
2206.03657 | Zhuoling Li | Zhuoling Li, Chuanrui Zhang, En Yu, Haoqian Wang | Delving into the Pre-training Paradigm of Monocular 3D Object Detection | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The labels of monocular 3D object detection (M3OD) are expensive to obtain.
Meanwhile, there usually exists numerous unlabeled data in practical
applications, and pre-training is an efficient way of exploiting the knowledge
in unlabeled data. However, the pre-training paradigm for M3OD is hardly
studied. We aim to br... | [
{
"created": "Wed, 8 Jun 2022 03:01:13 GMT",
"version": "v1"
},
{
"created": "Wed, 15 Jun 2022 02:50:31 GMT",
"version": "v2"
}
] | 2022-06-16 | [
[
"Li",
"Zhuoling",
""
],
[
"Zhang",
"Chuanrui",
""
],
[
"Yu",
"En",
""
],
[
"Wang",
"Haoqian",
""
]
] | The labels of monocular 3D object detection (M3OD) are expensive to obtain. Meanwhile, there usually exists numerous unlabeled data in practical applications, and pre-training is an efficient way of exploiting the knowledge in unlabeled data. However, the pre-training paradigm for M3OD is hardly studied. We aim to brid... |
2101.02028 | Ye Tian | Ye Tian | A Multilayer Correlated Topic Model | 11 pages, 4 figures | null | null | null | cs.IR cs.LG stat.CO stat.ME stat.ML | http://creativecommons.org/licenses/by/4.0/ | We proposed a novel multilayer correlated topic model (MCTM) to analyze how
the main ideas inherit and vary between a document and its different segments,
which helps understand an article's structure. The variational
expectation-maximization (EM) algorithm was derived to estimate the posterior
and parameters in MCTM... | [
{
"created": "Sat, 2 Jan 2021 21:50:36 GMT",
"version": "v1"
}
] | 2021-01-07 | [
[
"Tian",
"Ye",
""
]
] | We proposed a novel multilayer correlated topic model (MCTM) to analyze how the main ideas inherit and vary between a document and its different segments, which helps understand an article's structure. The variational expectation-maximization (EM) algorithm was derived to estimate the posterior and parameters in MCTM. ... |
2002.10451 | Mayank Mittal | Mayank Mittal, Marco Gallieri, Alessio Quaglino, Seyed Sina Mirrazavi
Salehian, Jan Koutn\'ik | Neural Lyapunov Model Predictive Control: Learning Safe Global
Controllers from Sub-optimal Examples | null | null | null | null | cs.AI cs.NE cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With a growing interest in data-driven control techniques, Model Predictive
Control (MPC) provides an opportunity to exploit the surplus of data reliably,
particularly while taking safety and stability into account. In many real-world
and industrial applications, it is typical to have an existing control
strategy, fo... | [
{
"created": "Fri, 21 Feb 2020 16:57:38 GMT",
"version": "v1"
},
{
"created": "Thu, 3 Jun 2021 14:37:05 GMT",
"version": "v2"
}
] | 2021-06-04 | [
[
"Mittal",
"Mayank",
""
],
[
"Gallieri",
"Marco",
""
],
[
"Quaglino",
"Alessio",
""
],
[
"Salehian",
"Seyed Sina Mirrazavi",
""
],
[
"Koutník",
"Jan",
""
]
] | With a growing interest in data-driven control techniques, Model Predictive Control (MPC) provides an opportunity to exploit the surplus of data reliably, particularly while taking safety and stability into account. In many real-world and industrial applications, it is typical to have an existing control strategy, for ... |
1401.7828 | Cristina Flaut | Cristina Flaut | Codes over a subset of Octonion Integers | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we define codes over some Octonion integers. We prove that in
some conditions these codes can correct up to two errors for a transmitted
vector and the code rate of the codes is grater than the code rate of the codes
defined on some subset of Quaternion integers.
| [
{
"created": "Thu, 30 Jan 2014 12:38:13 GMT",
"version": "v1"
}
] | 2014-01-31 | [
[
"Flaut",
"Cristina",
""
]
] | In this paper we define codes over some Octonion integers. We prove that in some conditions these codes can correct up to two errors for a transmitted vector and the code rate of the codes is grater than the code rate of the codes defined on some subset of Quaternion integers. |
2005.00247 | Jonas Pfeiffer | Jonas Pfeiffer, Aishwarya Kamath, Andreas R\"uckl\'e, Kyunghyun Cho,
Iryna Gurevych | AdapterFusion: Non-Destructive Task Composition for Transfer Learning | null | Proceedings of EACL 2021 | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Sequential fine-tuning and multi-task learning are methods aiming to
incorporate knowledge from multiple tasks; however, they suffer from
catastrophic forgetting and difficulties in dataset balancing. To address these
shortcomings, we propose AdapterFusion, a new two stage learning algorithm that
leverages knowledge ... | [
{
"created": "Fri, 1 May 2020 07:03:42 GMT",
"version": "v1"
},
{
"created": "Mon, 25 Jan 2021 14:34:32 GMT",
"version": "v2"
},
{
"created": "Tue, 26 Jan 2021 12:54:33 GMT",
"version": "v3"
}
] | 2021-01-27 | [
[
"Pfeiffer",
"Jonas",
""
],
[
"Kamath",
"Aishwarya",
""
],
[
"Rücklé",
"Andreas",
""
],
[
"Cho",
"Kyunghyun",
""
],
[
"Gurevych",
"Iryna",
""
]
] | Sequential fine-tuning and multi-task learning are methods aiming to incorporate knowledge from multiple tasks; however, they suffer from catastrophic forgetting and difficulties in dataset balancing. To address these shortcomings, we propose AdapterFusion, a new two stage learning algorithm that leverages knowledge fr... |
2212.04634 | Yuxin Wang | Yuxin Wang, Jieru Lin, Zhiwei Yu, Wei Hu, B\"orje F. Karlsson | Open-world Story Generation with Structured Knowledge Enhancement: A
Comprehensive Survey | Accepted in Neurocomputing | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Storytelling and narrative are fundamental to human experience, intertwined
with our social and cultural engagement. As such, researchers have long
attempted to create systems that can generate stories automatically. In recent
years, powered by deep learning and massive data resources, automatic story
generation has ... | [
{
"created": "Fri, 9 Dec 2022 02:19:07 GMT",
"version": "v1"
},
{
"created": "Fri, 24 Mar 2023 13:20:05 GMT",
"version": "v2"
},
{
"created": "Tue, 12 Sep 2023 17:38:30 GMT",
"version": "v3"
}
] | 2023-09-13 | [
[
"Wang",
"Yuxin",
""
],
[
"Lin",
"Jieru",
""
],
[
"Yu",
"Zhiwei",
""
],
[
"Hu",
"Wei",
""
],
[
"Karlsson",
"Börje F.",
""
]
] | Storytelling and narrative are fundamental to human experience, intertwined with our social and cultural engagement. As such, researchers have long attempted to create systems that can generate stories automatically. In recent years, powered by deep learning and massive data resources, automatic story generation has sh... |
cs/0606100 | Marco Cuturi | Marco Cuturi | The generating function of the polytope of transport matrices $U(r,c)$
as a positive semidefinite kernel of the marginals $r$ and $c$ | This paper has been withdrawn | null | null | null | cs.LG cs.DM | null | This paper has been withdrawn by the author due to a crucial error in the
proof of Lemma 5.
| [
{
"created": "Fri, 23 Jun 2006 10:19:40 GMT",
"version": "v1"
},
{
"created": "Mon, 26 Jun 2006 05:46:00 GMT",
"version": "v2"
},
{
"created": "Tue, 4 Jan 2011 08:26:13 GMT",
"version": "v3"
},
{
"created": "Tue, 11 Oct 2011 10:21:45 GMT",
"version": "v4"
}
] | 2011-10-12 | [
[
"Cuturi",
"Marco",
""
]
] | This paper has been withdrawn by the author due to a crucial error in the proof of Lemma 5. |
2311.06362 | Yunting Yin | Yunting Yin and Steven Skiena | Word Definitions from Large Language Models | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Dictionary definitions are historically the arbitrator of what words mean,
but this primacy has come under threat by recent progress in NLP, including
word embeddings and generative models like ChatGPT. We present an exploratory
study of the degree of alignment between word definitions from classical
dictionaries and... | [
{
"created": "Fri, 10 Nov 2023 19:27:20 GMT",
"version": "v1"
}
] | 2023-11-14 | [
[
"Yin",
"Yunting",
""
],
[
"Skiena",
"Steven",
""
]
] | Dictionary definitions are historically the arbitrator of what words mean, but this primacy has come under threat by recent progress in NLP, including word embeddings and generative models like ChatGPT. We present an exploratory study of the degree of alignment between word definitions from classical dictionaries and t... |
2012.11339 | Anh Tong | Anh Tong, Toan Tran, Hung Bui, Jaesik Choi | Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior | AAAI 2021 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Choosing a proper set of kernel functions is an important problem in learning
Gaussian Process (GP) models since each kernel structure has different model
complexity and data fitness. Recently, automatic kernel composition methods
provide not only accurate prediction but also attractive interpretability
through searc... | [
{
"created": "Mon, 21 Dec 2020 13:41:15 GMT",
"version": "v1"
},
{
"created": "Wed, 24 Feb 2021 07:11:56 GMT",
"version": "v2"
}
] | 2021-02-25 | [
[
"Tong",
"Anh",
""
],
[
"Tran",
"Toan",
""
],
[
"Bui",
"Hung",
""
],
[
"Choi",
"Jaesik",
""
]
] | Choosing a proper set of kernel functions is an important problem in learning Gaussian Process (GP) models since each kernel structure has different model complexity and data fitness. Recently, automatic kernel composition methods provide not only accurate prediction but also attractive interpretability through search-... |
0710.4318 | Evelyne Hubert | Evelyne Hubert | Differential invariants of a Lie group action: syzygies on a generating
set | Journal of Symbolic Computation (2008) | null | 10.1016/j.jsc.2008.08.003 | null | cs.SC math.DG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given a group action, known by its infinitesimal generators, we exhibit a
complete set of syzygies on a generating set of differential invariants. For
that we elaborate on the reinterpretation of Cartan's moving frame by Fels and
Olver (1999). This provides constructive tools for exploring algebras of
differential in... | [
{
"created": "Tue, 23 Oct 2007 19:20:10 GMT",
"version": "v1"
},
{
"created": "Thu, 6 Dec 2007 15:49:21 GMT",
"version": "v2"
},
{
"created": "Thu, 4 Sep 2008 15:06:25 GMT",
"version": "v3"
},
{
"created": "Mon, 3 Nov 2008 10:42:30 GMT",
"version": "v4"
}
] | 2008-11-03 | [
[
"Hubert",
"Evelyne",
""
]
] | Given a group action, known by its infinitesimal generators, we exhibit a complete set of syzygies on a generating set of differential invariants. For that we elaborate on the reinterpretation of Cartan's moving frame by Fels and Olver (1999). This provides constructive tools for exploring algebras of differential inva... |
2406.14150 | Guillaume Richard | Juan Jose Garau-Luis, Patrick Bordes, Liam Gonzalez, Masa Roller,
Bernardo P. de Almeida, Lorenz Hexemer, Christopher Blum, Stefan Laurent, Jan
Grzegorzewski, Maren Lang, Thomas Pierrot, Guillaume Richard | Multi-modal Transfer Learning between Biological Foundation Models | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Biological sequences encode fundamental instructions for the building blocks
of life, in the form of DNA, RNA, and proteins. Modeling these sequences is key
to understand disease mechanisms and is an active research area in
computational biology. Recently, Large Language Models have shown great promise
in solving cer... | [
{
"created": "Thu, 20 Jun 2024 09:44:53 GMT",
"version": "v1"
}
] | 2024-06-21 | [
[
"Garau-Luis",
"Juan Jose",
""
],
[
"Bordes",
"Patrick",
""
],
[
"Gonzalez",
"Liam",
""
],
[
"Roller",
"Masa",
""
],
[
"de Almeida",
"Bernardo P.",
""
],
[
"Hexemer",
"Lorenz",
""
],
[
"Blum",
"Christopher",
... | Biological sequences encode fundamental instructions for the building blocks of life, in the form of DNA, RNA, and proteins. Modeling these sequences is key to understand disease mechanisms and is an active research area in computational biology. Recently, Large Language Models have shown great promise in solving certa... |
2406.07840 | Shubham Dokania | Abhay Rawat, Shubham Dokania, Astitva Srivastava, Shuaib Ahmed, Haiwen
Feng, Rahul Tallamraju | SynthForge: Synthesizing High-Quality Face Dataset with Controllable 3D
Generative Models | 11 pages, 4 figures, 3 tables. Under Review | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Recent advancements in generative models have unlocked the capabilities to
render photo-realistic data in a controllable fashion. Trained on the real
data, these generative models are capable of producing realistic samples with
minimal to no domain gap, as compared to the traditional graphics rendering.
However, usin... | [
{
"created": "Wed, 12 Jun 2024 03:15:15 GMT",
"version": "v1"
}
] | 2024-06-13 | [
[
"Rawat",
"Abhay",
""
],
[
"Dokania",
"Shubham",
""
],
[
"Srivastava",
"Astitva",
""
],
[
"Ahmed",
"Shuaib",
""
],
[
"Feng",
"Haiwen",
""
],
[
"Tallamraju",
"Rahul",
""
]
] | Recent advancements in generative models have unlocked the capabilities to render photo-realistic data in a controllable fashion. Trained on the real data, these generative models are capable of producing realistic samples with minimal to no domain gap, as compared to the traditional graphics rendering. However, using ... |
1712.07752 | Rajesh Chidambaram | Rajesh Chidambaram | Towards an unanimous international regulatory body for responsible use
of Artificial Intelligence [UIRB-AI] | The paper covers a diverse range of topics but doesn't get into the
details of any and hence the proposals remain pragmatically irrelevant | null | null | null | cs.AI cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Artificial Intelligence (AI), is once again in the phase of drastic
advancements. Unarguably, the technology itself can revolutionize the way we
live our everyday life. But the exponential growth of technology poses a
daunting task for policy researchers and law makers in making amendments to the
existing norms. In a... | [
{
"created": "Thu, 21 Dec 2017 00:29:48 GMT",
"version": "v1"
},
{
"created": "Fri, 29 Dec 2017 16:39:50 GMT",
"version": "v2"
},
{
"created": "Thu, 28 Jun 2018 22:24:09 GMT",
"version": "v3"
}
] | 2018-07-02 | [
[
"Chidambaram",
"Rajesh",
""
]
] | Artificial Intelligence (AI), is once again in the phase of drastic advancements. Unarguably, the technology itself can revolutionize the way we live our everyday life. But the exponential growth of technology poses a daunting task for policy researchers and law makers in making amendments to the existing norms. In add... |
2402.18511 | Thiago Eustaquio Alves De Oliveira Dr. | Laurent Yves Emile Ramos Cheret, Vinicius Prado da Fonseca, Thiago
Eustaquio Alves de Oliveira | Leveraging Compliant Tactile Perception for Haptic Blind Surface
Reconstruction | 7 pages, 9 figures, 2024 IEEE International Conference on Robotics
and Automation (ICRA 2024) | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Non-flat surfaces pose difficulties for robots operating in unstructured
environments. Reconstructions of uneven surfaces may only be partially possible
due to non-compliant end-effectors and limitations on vision systems such as
transparency, reflections, and occlusions. This study achieves blind surface
reconstruct... | [
{
"created": "Wed, 28 Feb 2024 17:40:01 GMT",
"version": "v1"
}
] | 2024-02-29 | [
[
"Cheret",
"Laurent Yves Emile Ramos",
""
],
[
"da Fonseca",
"Vinicius Prado",
""
],
[
"de Oliveira",
"Thiago Eustaquio Alves",
""
]
] | Non-flat surfaces pose difficulties for robots operating in unstructured environments. Reconstructions of uneven surfaces may only be partially possible due to non-compliant end-effectors and limitations on vision systems such as transparency, reflections, and occlusions. This study achieves blind surface reconstructio... |
1808.06303 | Ian Schmutte | John M. Abowd and Ian M. Schmutte | An Economic Analysis of Privacy Protection and Statistical Accuracy as
Social Choices | Forthcoming in American Economic Review | null | 10.1257/aer.20170627 | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Statistical agencies face a dual mandate to publish accurate statistics while
protecting respondent privacy. Increasing privacy protection requires decreased
accuracy. Recognizing this as a resource allocation problem, we propose an
economic solution: operate where the marginal cost of increasing privacy equals
the m... | [
{
"created": "Mon, 20 Aug 2018 04:34:43 GMT",
"version": "v1"
}
] | 2019-03-12 | [
[
"Abowd",
"John M.",
""
],
[
"Schmutte",
"Ian M.",
""
]
] | Statistical agencies face a dual mandate to publish accurate statistics while protecting respondent privacy. Increasing privacy protection requires decreased accuracy. Recognizing this as a resource allocation problem, we propose an economic solution: operate where the marginal cost of increasing privacy equals the mar... |
1512.08292 | Saeed Mehrabi | Saeed Mehrabi | Guarding the Vertices of an Orthogonal Terrain using Vertex Guards | null | null | null | null | cs.CG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A terrain T is an x-monotone polygonal chain in the plane; T is orthogonal if
each edge of T is either horizontal or vertical. In this paper, we give an
exact algorithm for the problem of guarding the convex vertices of an
orthogonal terrain with the minimum number of reflex vertices.
| [
{
"created": "Mon, 28 Dec 2015 00:01:52 GMT",
"version": "v1"
}
] | 2015-12-29 | [
[
"Mehrabi",
"Saeed",
""
]
] | A terrain T is an x-monotone polygonal chain in the plane; T is orthogonal if each edge of T is either horizontal or vertical. In this paper, we give an exact algorithm for the problem of guarding the convex vertices of an orthogonal terrain with the minimum number of reflex vertices. |
2306.11879 | Sidi Lu | Sidi Lu and Hongyi Liu and Asli Celikyilmaz and Tianlu Wang and Nanyun
Peng | Open-Domain Text Evaluation via Contrastive Distribution Methods | Accepted to ICML 2024 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Recent advancements in open-domain text generation, driven by the power of
large pre-trained language models (LLMs), have demonstrated remarkable
performance. However, assessing these models' generation quality remains a
challenge. In this paper, we introduce a novel method for evaluating
open-domain text generation ... | [
{
"created": "Tue, 20 Jun 2023 20:37:54 GMT",
"version": "v1"
},
{
"created": "Fri, 3 May 2024 23:21:45 GMT",
"version": "v2"
},
{
"created": "Thu, 6 Jun 2024 21:24:17 GMT",
"version": "v3"
},
{
"created": "Mon, 10 Jun 2024 00:44:32 GMT",
"version": "v4"
}
] | 2024-06-11 | [
[
"Lu",
"Sidi",
""
],
[
"Liu",
"Hongyi",
""
],
[
"Celikyilmaz",
"Asli",
""
],
[
"Wang",
"Tianlu",
""
],
[
"Peng",
"Nanyun",
""
]
] | Recent advancements in open-domain text generation, driven by the power of large pre-trained language models (LLMs), have demonstrated remarkable performance. However, assessing these models' generation quality remains a challenge. In this paper, we introduce a novel method for evaluating open-domain text generation ca... |
2401.08073 | Alagappan Ramanathan | Alagappan Ramanathan, Rishika Sankaran, Sangeetha Abdu Jyothi | Xaminer: An Internet Cross-Layer Resilience Analysis Tool | null | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A resilient Internet infrastructure is critical in our highly interconnected
society. However, the Internet faces several vulnerabilities, ranging from
natural disasters to human activities, that can impact the physical layer and,
in turn, the higher network layers, such as IP links. In this paper, we
introduce Xamin... | [
{
"created": "Tue, 16 Jan 2024 02:58:27 GMT",
"version": "v1"
}
] | 2024-01-17 | [
[
"Ramanathan",
"Alagappan",
""
],
[
"Sankaran",
"Rishika",
""
],
[
"Jyothi",
"Sangeetha Abdu",
""
]
] | A resilient Internet infrastructure is critical in our highly interconnected society. However, the Internet faces several vulnerabilities, ranging from natural disasters to human activities, that can impact the physical layer and, in turn, the higher network layers, such as IP links. In this paper, we introduce Xaminer... |
1902.00172 | Shikhar Vashishth | Shikhar Vashishth, Prince Jain, Partha Talukdar | CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side
Information | Accepted at WWW 2018 | International World Wide Web Conferences Steering Committee 2018 | 10.1145/3178876.3186030 | null | cs.IR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Open Information Extraction (OpenIE) methods extract (noun phrase, relation
phrase, noun phrase) triples from text, resulting in the construction of large
Open Knowledge Bases (Open KBs). The noun phrases (NPs) and relation phrases in
such Open KBs are not canonicalized, leading to the storage of redundant and
ambigu... | [
{
"created": "Fri, 1 Feb 2019 04:18:49 GMT",
"version": "v1"
}
] | 2019-02-04 | [
[
"Vashishth",
"Shikhar",
""
],
[
"Jain",
"Prince",
""
],
[
"Talukdar",
"Partha",
""
]
] | Open Information Extraction (OpenIE) methods extract (noun phrase, relation phrase, noun phrase) triples from text, resulting in the construction of large Open Knowledge Bases (Open KBs). The noun phrases (NPs) and relation phrases in such Open KBs are not canonicalized, leading to the storage of redundant and ambiguou... |
2006.04611 | Kaustubh Yadav | Kaustubh Yadav | A Comprehensive Survey on Aspect Based Sentiment Analysis | null | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Aspect Based Sentiment Analysis (ABSA) is the sub-field of Natural Language
Processing that deals with essentially splitting our data into aspects ad
finally extracting the sentiment information. ABSA is known to provide more
information about the context than general sentiment analysis. In this study,
our aim is to ... | [
{
"created": "Mon, 8 Jun 2020 14:07:58 GMT",
"version": "v1"
}
] | 2020-06-09 | [
[
"Yadav",
"Kaustubh",
""
]
] | Aspect Based Sentiment Analysis (ABSA) is the sub-field of Natural Language Processing that deals with essentially splitting our data into aspects ad finally extracting the sentiment information. ABSA is known to provide more information about the context than general sentiment analysis. In this study, our aim is to ex... |
2406.09095 | Yuhao Dan | Yuhao Dan, Junfeng Tian, Jie Zhou, Ming Yan, Ji Zhang, Qin Chen, Liang
He | Modeling Comparative Logical Relation with Contrastive Learning for Text
Generation | NLPCC 2024 | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Data-to-Text Generation (D2T), a classic natural language generation problem,
aims at producing fluent descriptions for structured input data, such as a
table. Existing D2T works mainly focus on describing the superficial
associative relations among entities, while ignoring the deep comparative
logical relations, suc... | [
{
"created": "Thu, 13 Jun 2024 13:25:50 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Aug 2024 04:47:29 GMT",
"version": "v2"
}
] | 2024-08-16 | [
[
"Dan",
"Yuhao",
""
],
[
"Tian",
"Junfeng",
""
],
[
"Zhou",
"Jie",
""
],
[
"Yan",
"Ming",
""
],
[
"Zhang",
"Ji",
""
],
[
"Chen",
"Qin",
""
],
[
"He",
"Liang",
""
]
] | Data-to-Text Generation (D2T), a classic natural language generation problem, aims at producing fluent descriptions for structured input data, such as a table. Existing D2T works mainly focus on describing the superficial associative relations among entities, while ignoring the deep comparative logical relations, such ... |
1012.5506 | Adrian Paschke | Alejandra Gonzalez-Beltran, Ben Tagger, and Anthony Finkelstein | Ontology-based Queries over Cancer Data | in Adrian Paschke, Albert Burger, Andrea Splendiani, M. Scott
Marshall, Paolo Romano: Proceedings of the 3rd International Workshop on
Semantic Web Applications and Tools for the Life Sciences, Berlin,Germany,
December 8-10, 2010 | null | null | SWAT4LS 2010 | cs.AI cs.DB cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The ever-increasing amount of data in biomedical research, and in cancer
research in particular, needs to be managed to support efficient data access,
exchange and integration. Existing software infrastructures, such caGrid,
support access to distributed information annotated with a domain ontology.
However, caGrid's... | [
{
"created": "Sun, 26 Dec 2010 10:49:52 GMT",
"version": "v1"
}
] | 2010-12-30 | [
[
"Gonzalez-Beltran",
"Alejandra",
""
],
[
"Tagger",
"Ben",
""
],
[
"Finkelstein",
"Anthony",
""
]
] | The ever-increasing amount of data in biomedical research, and in cancer research in particular, needs to be managed to support efficient data access, exchange and integration. Existing software infrastructures, such caGrid, support access to distributed information annotated with a domain ontology. However, caGrid's c... |
1707.05468 | Elena Mikhalkova | Elena Mikhalkova and Yuri Karyakin | Detecting Intentional Lexical Ambiguity in English Puns | In Proceedings of the International Conference "Dialogue 2017"
Moscow, May 31-June 3, 2017 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The article describes a model of automatic analysis of puns, where a word is
intentionally used in two meanings at the same time (the target word). We
employ Roget's Thesaurus to discover two groups of words which, in a pun, form
around two abstract bits of meaning (semes). They become a semantic vector,
based on whi... | [
{
"created": "Tue, 18 Jul 2017 05:04:03 GMT",
"version": "v1"
}
] | 2017-07-19 | [
[
"Mikhalkova",
"Elena",
""
],
[
"Karyakin",
"Yuri",
""
]
] | The article describes a model of automatic analysis of puns, where a word is intentionally used in two meanings at the same time (the target word). We employ Roget's Thesaurus to discover two groups of words which, in a pun, form around two abstract bits of meaning (semes). They become a semantic vector, based on which... |
2407.02775 | Ying Zhang | Ying Zhang and Ziheng Yang and Shufan Ji | MLKD-BERT: Multi-level Knowledge Distillation for Pre-trained Language
Models | null | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | Knowledge distillation is an effective technique for pre-trained language
model compression. Although existing knowledge distillation methods perform
well for the most typical model BERT, they could be further improved in two
aspects: the relation-level knowledge could be further explored to improve
model performance... | [
{
"created": "Wed, 3 Jul 2024 03:03:30 GMT",
"version": "v1"
}
] | 2024-07-04 | [
[
"Zhang",
"Ying",
""
],
[
"Yang",
"Ziheng",
""
],
[
"Ji",
"Shufan",
""
]
] | Knowledge distillation is an effective technique for pre-trained language model compression. Although existing knowledge distillation methods perform well for the most typical model BERT, they could be further improved in two aspects: the relation-level knowledge could be further explored to improve model performance; ... |
2102.06774 | Hanieh Rafiee | Haniyeh Rafiee and Mohammad Fakhredanesh | Presenting a Method for Improving Echo Hiding | 14 page, This paper is printed in Journal of Computer and Knowledge
Engineering, Vol. 2, No. 1 | null | 10.22067/CKE.V2I1.74388 | null | cs.CR cs.MM | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In this article, one of the most important methods of steganography on VoIP
called echo hiding is improved. This method has advantages in maintaining the
statistical and perceptual characteristics of audio signals as well as security
against the sensitivity of the human audio system (HAS). However, it has lots
of err... | [
{
"created": "Fri, 12 Feb 2021 21:09:36 GMT",
"version": "v1"
}
] | 2021-02-16 | [
[
"Rafiee",
"Haniyeh",
""
],
[
"Fakhredanesh",
"Mohammad",
""
]
] | In this article, one of the most important methods of steganography on VoIP called echo hiding is improved. This method has advantages in maintaining the statistical and perceptual characteristics of audio signals as well as security against the sensitivity of the human audio system (HAS). However, it has lots of error... |
1005.5489 | Constantin Jucovschi | Constantin Jucovschi, Michael Kohlhase | sTeXIDE: An Integrated Development Environment for sTeX Collections | To appear in The 9th International Conference on Mathematical
Knowledge Management: MKM 2010 | null | null | null | cs.OH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Authoring documents in MKM formats like OMDoc is a very tedious task. After
years of working on a semantically annotated corpus of sTeX documents (GenCS),
we identified a set of common, time-consuming subtasks, which can be supported
in an integrated authoring environment. We have adapted the modular Eclipse IDE
into... | [
{
"created": "Sat, 29 May 2010 22:31:05 GMT",
"version": "v1"
}
] | 2010-06-01 | [
[
"Jucovschi",
"Constantin",
""
],
[
"Kohlhase",
"Michael",
""
]
] | Authoring documents in MKM formats like OMDoc is a very tedious task. After years of working on a semantically annotated corpus of sTeX documents (GenCS), we identified a set of common, time-consuming subtasks, which can be supported in an integrated authoring environment. We have adapted the modular Eclipse IDE into s... |
2206.07089 | Boyang Li | Boyang Li, Qing Lu, Weiwen Jiang, Taeho Jung, Yiyu Shi | A Collaboration Strategy in the Mining Pool for
Proof-of-Neural-Architecture Consensus | null | null | null | null | cs.DC cs.LG | http://creativecommons.org/publicdomain/zero/1.0/ | In most popular public accessible cryptocurrency systems, the mining pool
plays a key role because mining cryptocurrency with the mining pool turns the
non-profitable situation into profitable for individual miners. In many recent
novel blockchain consensuses, the deep learning training procedure becomes the
task for... | [
{
"created": "Thu, 5 May 2022 17:08:02 GMT",
"version": "v1"
}
] | 2022-06-16 | [
[
"Li",
"Boyang",
""
],
[
"Lu",
"Qing",
""
],
[
"Jiang",
"Weiwen",
""
],
[
"Jung",
"Taeho",
""
],
[
"Shi",
"Yiyu",
""
]
] | In most popular public accessible cryptocurrency systems, the mining pool plays a key role because mining cryptocurrency with the mining pool turns the non-profitable situation into profitable for individual miners. In many recent novel blockchain consensuses, the deep learning training procedure becomes the task for m... |
2209.07367 | Turgay Pamuklu | Anne Catherine Nguyen, Turgay Pamuklu, Aisha Syed, W. Sean Kennedy,
Melike Erol-Kantarci | Deep Reinforcement Learning for Task Offloading in UAV-Aided Smart Farm
Networks | Accepted Paper | null | null | null | cs.NI cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The fifth and sixth generations of wireless communication networks are
enabling tools such as internet of things devices, unmanned aerial vehicles
(UAVs), and artificial intelligence, to improve the agricultural landscape
using a network of devices to automatically monitor farmlands. Surveying a
large area requires p... | [
{
"created": "Thu, 15 Sep 2022 15:29:57 GMT",
"version": "v1"
}
] | 2022-09-16 | [
[
"Nguyen",
"Anne Catherine",
""
],
[
"Pamuklu",
"Turgay",
""
],
[
"Syed",
"Aisha",
""
],
[
"Kennedy",
"W. Sean",
""
],
[
"Erol-Kantarci",
"Melike",
""
]
] | The fifth and sixth generations of wireless communication networks are enabling tools such as internet of things devices, unmanned aerial vehicles (UAVs), and artificial intelligence, to improve the agricultural landscape using a network of devices to automatically monitor farmlands. Surveying a large area requires per... |
2105.06714 | Peijia Chen | Peijia Chen, Jianhuang Lai, Guangcong Wang, Huajun Zhou | Confidence-guided Adaptive Gate and Dual Differential Enhancement for
Video Salient Object Detection | Accepted by ICME2021 as oral | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Video salient object detection (VSOD) aims to locate and segment the most
attractive object by exploiting both spatial cues and temporal cues hidden in
video sequences. However, spatial and temporal cues are often unreliable in
real-world scenarios, such as low-contrast foreground, fast motion, and
multiple moving ob... | [
{
"created": "Fri, 14 May 2021 08:49:37 GMT",
"version": "v1"
}
] | 2021-05-17 | [
[
"Chen",
"Peijia",
""
],
[
"Lai",
"Jianhuang",
""
],
[
"Wang",
"Guangcong",
""
],
[
"Zhou",
"Huajun",
""
]
] | Video salient object detection (VSOD) aims to locate and segment the most attractive object by exploiting both spatial cues and temporal cues hidden in video sequences. However, spatial and temporal cues are often unreliable in real-world scenarios, such as low-contrast foreground, fast motion, and multiple moving obje... |
2403.10746 | Matthijs Douze | Gergely Szilvasy and Pierre-Emmanuel Mazar\'e and Matthijs Douze | Vector search with small radiuses | null | null | null | null | cs.CV cs.DB | http://creativecommons.org/licenses/by/4.0/ | In recent years, the dominant accuracy metric for vector search is the recall
of a result list of fixed size (top-k retrieval), considering as ground truth
the exact vector retrieval results. Although convenient to compute, this metric
is distantly related to the end-to-end accuracy of a full system that
integrates v... | [
{
"created": "Sat, 16 Mar 2024 00:34:25 GMT",
"version": "v1"
}
] | 2024-03-19 | [
[
"Szilvasy",
"Gergely",
""
],
[
"Mazaré",
"Pierre-Emmanuel",
""
],
[
"Douze",
"Matthijs",
""
]
] | In recent years, the dominant accuracy metric for vector search is the recall of a result list of fixed size (top-k retrieval), considering as ground truth the exact vector retrieval results. Although convenient to compute, this metric is distantly related to the end-to-end accuracy of a full system that integrates vec... |
2312.06795 | MohammadReza Davari | MohammadReza Davari and Eugene Belilovsky | Model Breadcrumbs: Scaling Multi-Task Model Merging with Sparse Masks | Published in ECCV 2024 | null | null | null | cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The rapid development of AI systems has been greatly influenced by the
emergence of foundation models. A common approach for targeted problems
involves fine-tuning these pre-trained foundation models for specific target
tasks, resulting in a rapid spread of models fine-tuned across a diverse array
of tasks. This work... | [
{
"created": "Mon, 11 Dec 2023 19:10:55 GMT",
"version": "v1"
},
{
"created": "Sat, 10 Aug 2024 00:02:00 GMT",
"version": "v2"
}
] | 2024-08-13 | [
[
"Davari",
"MohammadReza",
""
],
[
"Belilovsky",
"Eugene",
""
]
] | The rapid development of AI systems has been greatly influenced by the emergence of foundation models. A common approach for targeted problems involves fine-tuning these pre-trained foundation models for specific target tasks, resulting in a rapid spread of models fine-tuned across a diverse array of tasks. This work f... |
2208.08612 | Chen Yang | Chen Yang and Yupeng Hou and Yang Song and Tao Zhang and Ji-Rong Wen
and Wayne Xin Zhao | Modeling Two-Way Selection Preference for Person-Job Fit | 10 pages, Accepted by RecSys 2022 | null | 10.1145/3523227.3546752 | null | cs.IR | http://creativecommons.org/licenses/by/4.0/ | Person-job fit is the core technique of online recruitment platforms, which
can improve the efficiency of recruitment by accurately matching the job
positions with the job seekers. Existing works mainly focus on modeling the
unidirectional process or overall matching. However, recruitment is a two-way
selection proce... | [
{
"created": "Thu, 18 Aug 2022 03:16:11 GMT",
"version": "v1"
},
{
"created": "Fri, 19 Aug 2022 15:10:46 GMT",
"version": "v2"
}
] | 2022-08-22 | [
[
"Yang",
"Chen",
""
],
[
"Hou",
"Yupeng",
""
],
[
"Song",
"Yang",
""
],
[
"Zhang",
"Tao",
""
],
[
"Wen",
"Ji-Rong",
""
],
[
"Zhao",
"Wayne Xin",
""
]
] | Person-job fit is the core technique of online recruitment platforms, which can improve the efficiency of recruitment by accurately matching the job positions with the job seekers. Existing works mainly focus on modeling the unidirectional process or overall matching. However, recruitment is a two-way selection process... |
2212.00501 | Lb Luo | Linbo Luo, Yuanjing Li, Haiyan Yin, Shangwei Xie, Ruimin Hu, Wentong
Cai | Crowd-level Abnormal Behavior Detection via Multi-scale Motion
Consistency Learning | Version with appendix for the AAAI-23 publication | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Detecting abnormal crowd motion emerging from complex interactions of
individuals is paramount to ensure the safety of crowds. Crowd-level abnormal
behaviors (CABs), e.g., counter flow and crowd turbulence, are proven to be the
crucial causes of many crowd disasters. In the recent decade, video anomaly
detection (VAD... | [
{
"created": "Thu, 1 Dec 2022 13:52:32 GMT",
"version": "v1"
}
] | 2022-12-02 | [
[
"Luo",
"Linbo",
""
],
[
"Li",
"Yuanjing",
""
],
[
"Yin",
"Haiyan",
""
],
[
"Xie",
"Shangwei",
""
],
[
"Hu",
"Ruimin",
""
],
[
"Cai",
"Wentong",
""
]
] | Detecting abnormal crowd motion emerging from complex interactions of individuals is paramount to ensure the safety of crowds. Crowd-level abnormal behaviors (CABs), e.g., counter flow and crowd turbulence, are proven to be the crucial causes of many crowd disasters. In the recent decade, video anomaly detection (VAD) ... |
2405.19743 | Hyemin Ahn | Hyemin Ahn | May the Dance be with You: Dance Generation Framework for Non-Humanoids | 13 pages, 6 Figures, Rejected at Neurips 2023 | null | null | null | cs.CV cs.AI cs.RO | http://creativecommons.org/licenses/by/4.0/ | We hypothesize dance as a motion that forms a visual rhythm from music, where
the visual rhythm can be perceived from an optical flow. If an agent can
recognize the relationship between visual rhythm and music, it will be able to
dance by generating a motion to create a visual rhythm that matches the music.
Based on ... | [
{
"created": "Thu, 30 May 2024 06:43:55 GMT",
"version": "v1"
}
] | 2024-05-31 | [
[
"Ahn",
"Hyemin",
""
]
] | We hypothesize dance as a motion that forms a visual rhythm from music, where the visual rhythm can be perceived from an optical flow. If an agent can recognize the relationship between visual rhythm and music, it will be able to dance by generating a motion to create a visual rhythm that matches the music. Based on th... |
2212.11756 | Yuanbo Li | Yuanbo Li, Chong Han, Yi Chen, Ziming Yu, and Xuefeng Yin | DSS-o-SAGE: Direction-Scan Sounding-Oriented SAGE Algorithm for Channel
Parameter Estimation in mmWave and THz Bands | 15 pages, 10 figures, 3 tables | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Investigation of millimeter (mmWave) and Terahertz (THz) channels relies on
channel measurements and estimation of multi-path component (MPC) parameters.
As a common measurement technique in the mmWave and THz bands, direction-scan
sounding (DSS) resolves angular information and increases the measurable
distance. Thr... | [
{
"created": "Mon, 28 Nov 2022 16:11:52 GMT",
"version": "v1"
},
{
"created": "Mon, 4 Mar 2024 06:41:17 GMT",
"version": "v2"
}
] | 2024-03-05 | [
[
"Li",
"Yuanbo",
""
],
[
"Han",
"Chong",
""
],
[
"Chen",
"Yi",
""
],
[
"Yu",
"Ziming",
""
],
[
"Yin",
"Xuefeng",
""
]
] | Investigation of millimeter (mmWave) and Terahertz (THz) channels relies on channel measurements and estimation of multi-path component (MPC) parameters. As a common measurement technique in the mmWave and THz bands, direction-scan sounding (DSS) resolves angular information and increases the measurable distance. Throu... |
1807.05153 | Hongwei Li | Hongwei Li, Jianguo Zhang, Mark Muehlau, Jan Kirschke and Bjoern Menze | Multi-Scale Convolutional-Stack Aggregation for Robust White Matter
Hyperintensities Segmentation | accepted by MICCAI brain lesion workshop | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Segmentation of both large and small white matter hyperintensities/lesions in
brain MR images is a challenging task which has drawn much attention in recent
years. We propose a multi-scale aggregation model framework to deal with
volume-varied lesions. Firstly, we present a specifically-designed network for
small les... | [
{
"created": "Fri, 13 Jul 2018 15:56:20 GMT",
"version": "v1"
},
{
"created": "Wed, 29 Aug 2018 21:55:37 GMT",
"version": "v2"
},
{
"created": "Wed, 27 Feb 2019 14:57:19 GMT",
"version": "v3"
}
] | 2019-02-28 | [
[
"Li",
"Hongwei",
""
],
[
"Zhang",
"Jianguo",
""
],
[
"Muehlau",
"Mark",
""
],
[
"Kirschke",
"Jan",
""
],
[
"Menze",
"Bjoern",
""
]
] | Segmentation of both large and small white matter hyperintensities/lesions in brain MR images is a challenging task which has drawn much attention in recent years. We propose a multi-scale aggregation model framework to deal with volume-varied lesions. Firstly, we present a specifically-designed network for small lesio... |
1910.08248 | Duong Nguyen | Duong Nguyen, Sandeep S. Kulkarni | Benefits of Stabilization versus Rollback in Eventually Consistent
Key-Value Stores | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we evaluate and compare the performance of two approaches,
namely self-stabilization and rollback, to handling consistency violation
faults (cvf) that occurred when a distributed program is executed on eventually
consistent key-value store. We observe that self-stabilization is usually
better than roll... | [
{
"created": "Fri, 18 Oct 2019 03:53:11 GMT",
"version": "v1"
}
] | 2019-10-21 | [
[
"Nguyen",
"Duong",
""
],
[
"Kulkarni",
"Sandeep S.",
""
]
] | In this paper, we evaluate and compare the performance of two approaches, namely self-stabilization and rollback, to handling consistency violation faults (cvf) that occurred when a distributed program is executed on eventually consistent key-value store. We observe that self-stabilization is usually better than rollba... |
1702.00855 | Enno Shioji | Enno Shioji, Masayuki Arai | Neural Feature Embedding for User Response Prediction in Real-Time
Bidding (RTB) | null | Proc. of the Workshop on Social Media for Personalization and
Search (2017) 8-13 | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the area of ad-targeting, predicting user responses is essential for many
applications such as Real-Time Bidding (RTB). Many of the features available in
this domain are sparse categorical features. This presents a challenge
especially when the user responses to be predicted are rare, because each
feature will onl... | [
{
"created": "Thu, 2 Feb 2017 22:32:29 GMT",
"version": "v1"
},
{
"created": "Thu, 23 Feb 2017 10:37:24 GMT",
"version": "v2"
},
{
"created": "Wed, 26 Apr 2017 17:01:40 GMT",
"version": "v3"
},
{
"created": "Tue, 9 May 2017 11:21:42 GMT",
"version": "v4"
},
{
"cre... | 2017-05-19 | [
[
"Shioji",
"Enno",
""
],
[
"Arai",
"Masayuki",
""
]
] | In the area of ad-targeting, predicting user responses is essential for many applications such as Real-Time Bidding (RTB). Many of the features available in this domain are sparse categorical features. This presents a challenge especially when the user responses to be predicted are rare, because each feature will only ... |
1809.07948 | Michael Fulton | Michael Fulton, Chelsey Edge, Junaed Sattar | Robot Communication Via Motion: Closing the Underwater Human-Robot
Interaction Loop | Under review for ICRA 2019 | null | null | null | cs.RO cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a novel method for underwater robot-to-human
communication using the motion of the robot as "body language". To evaluate
this system, we develop simulated examples of the system's body language
gestures, called kinemes, and compare them to a baseline system using flashing
colored lights thro... | [
{
"created": "Fri, 21 Sep 2018 05:22:58 GMT",
"version": "v1"
}
] | 2018-09-24 | [
[
"Fulton",
"Michael",
""
],
[
"Edge",
"Chelsey",
""
],
[
"Sattar",
"Junaed",
""
]
] | In this paper, we propose a novel method for underwater robot-to-human communication using the motion of the robot as "body language". To evaluate this system, we develop simulated examples of the system's body language gestures, called kinemes, and compare them to a baseline system using flashing colored lights throug... |
1711.01306 | Aidin Ferdowsi | Aidin Ferdowsi and Walid Saad | Deep Learning-Based Dynamic Watermarking for Secure Signal
Authentication in the Internet of Things | 6 pages, 9 figures | null | null | null | cs.IT cs.CR cs.MM math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Securing the Internet of Things (IoT) is a necessary milestone toward
expediting the deployment of its applications and services. In particular, the
functionality of the IoT devices is extremely dependent on the reliability of
their message transmission. Cyber attacks such as data injection,
eavesdropping, and man-in... | [
{
"created": "Fri, 3 Nov 2017 19:12:23 GMT",
"version": "v1"
}
] | 2017-11-07 | [
[
"Ferdowsi",
"Aidin",
""
],
[
"Saad",
"Walid",
""
]
] | Securing the Internet of Things (IoT) is a necessary milestone toward expediting the deployment of its applications and services. In particular, the functionality of the IoT devices is extremely dependent on the reliability of their message transmission. Cyber attacks such as data injection, eavesdropping, and man-in-t... |
2005.05487 | Takashi Morita | Takashi Morita and Hiroki Koda | Exploring TTS without T Using Biologically/Psychologically Motivated
Neural Network Modules (ZeroSpeech 2020) | Accepted in INTERSPEECH 2020 | null | 10.21437/Interspeech.2020-3127 | null | cs.CL cs.LG cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this study, we reported our exploration of Text-To-Speech without Text
(TTS without T) in the Zero Resource Speech Challenge 2020, in which
participants proposed an end-to-end, unsupervised system that learned speech
recognition and TTS together. We addressed the challenge using
biologically/psychologically motiva... | [
{
"created": "Mon, 11 May 2020 23:44:37 GMT",
"version": "v1"
},
{
"created": "Fri, 15 May 2020 09:18:57 GMT",
"version": "v2"
},
{
"created": "Mon, 10 Aug 2020 09:13:40 GMT",
"version": "v3"
}
] | 2020-11-03 | [
[
"Morita",
"Takashi",
""
],
[
"Koda",
"Hiroki",
""
]
] | In this study, we reported our exploration of Text-To-Speech without Text (TTS without T) in the Zero Resource Speech Challenge 2020, in which participants proposed an end-to-end, unsupervised system that learned speech recognition and TTS together. We addressed the challenge using biologically/psychologically motivate... |
2003.05171 | Peter beim Graben | Peter beim Graben, Markus Huber, Werner Meyer, Ronald R\"omer and
Matthias Wolff | Vector symbolic architectures for context-free grammars | 36 pages, 3 figures | null | null | null | cs.CL q-bio.NC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Background / introduction. Vector symbolic architectures (VSA) are a viable
approach for the hyperdimensional representation of symbolic data, such as
documents, syntactic structures, or semantic frames. Methods. We present a
rigorous mathematical framework for the representation of phrase structure
trees and parse t... | [
{
"created": "Wed, 11 Mar 2020 09:07:02 GMT",
"version": "v1"
},
{
"created": "Fri, 25 Sep 2020 08:34:46 GMT",
"version": "v2"
}
] | 2020-09-28 | [
[
"Graben",
"Peter beim",
""
],
[
"Huber",
"Markus",
""
],
[
"Meyer",
"Werner",
""
],
[
"Römer",
"Ronald",
""
],
[
"Wolff",
"Matthias",
""
]
] | Background / introduction. Vector symbolic architectures (VSA) are a viable approach for the hyperdimensional representation of symbolic data, such as documents, syntactic structures, or semantic frames. Methods. We present a rigorous mathematical framework for the representation of phrase structure trees and parse tre... |
2405.16103 | Andrzej Lingas | Andrzej Lingas | Boolean Matrix Multiplication for Highly Clustered Data on the Congested
Clique | To appear in Euro-Par 2024 proceedings, 14 pages | null | null | null | cs.DS cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a protocol for the Boolean matrix product of two $n\times b$
Boolean matrices on the congested clique designed for the situation when the
rows of the first matrix or the columns of the second matrix are highly
clustered in the space $\{0,1\}^n.$ With high probability (w.h.p), it uses
$\tilde{O}\left(\sqrt ... | [
{
"created": "Sat, 25 May 2024 07:31:05 GMT",
"version": "v1"
}
] | 2024-05-28 | [
[
"Lingas",
"Andrzej",
""
]
] | We present a protocol for the Boolean matrix product of two $n\times b$ Boolean matrices on the congested clique designed for the situation when the rows of the first matrix or the columns of the second matrix are highly clustered in the space $\{0,1\}^n.$ With high probability (w.h.p), it uses $\tilde{O}\left(\sqrt {\... |
1904.00510 | Gustavo Gil | Gustavo D. Gil, Julie M. Walker, Nabil Zemiti, Allison M. Okamura,
Philippe Poignet | How to enhance learning of robotic surgery gestures? A tactile cue
saliency investigation for 3D hand guidance | HSMR: 12th Hamlyn Symposium on Medical Robotics (London, 24th-26th
June 2019) | null | 10.31256/HSMR2019.9 | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The current generation of surgeons requires extensive training in
teleoperation to develop specific dexterous skills, which are independent of
medical knowledge. Training curricula progress from manipulation tasks to
simulated surgical tasks but are limited in time. To tackle this, we propose to
integrate surgical ro... | [
{
"created": "Sun, 31 Mar 2019 23:36:31 GMT",
"version": "v1"
},
{
"created": "Sun, 7 Apr 2019 16:15:42 GMT",
"version": "v2"
},
{
"created": "Fri, 10 May 2019 09:18:31 GMT",
"version": "v3"
},
{
"created": "Fri, 19 Jul 2019 10:15:43 GMT",
"version": "v4"
}
] | 2019-07-23 | [
[
"Gil",
"Gustavo D.",
""
],
[
"Walker",
"Julie M.",
""
],
[
"Zemiti",
"Nabil",
""
],
[
"Okamura",
"Allison M.",
""
],
[
"Poignet",
"Philippe",
""
]
] | The current generation of surgeons requires extensive training in teleoperation to develop specific dexterous skills, which are independent of medical knowledge. Training curricula progress from manipulation tasks to simulated surgical tasks but are limited in time. To tackle this, we propose to integrate surgical robo... |
2305.09442 | Jake Welde | Jake Welde and Vijay Kumar | Towards Automatic Identification of Globally Valid Geometric Flat
Outputs via Numerical Optimization | To appear as a contributed paper in the "Geometric Representations"
workshop at the 2023 International Conference on Robotics and Automation
(ICRA) | null | null | null | cs.RO math.DG math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Differential flatness enables efficient planning and control for
underactuated robotic systems, but we lack a systematic and practical means of
identifying a flat output (or determining whether one exists) for an arbitrary
robotic system. In this work, we leverage recent results elucidating the role
of symmetry in co... | [
{
"created": "Tue, 16 May 2023 13:58:40 GMT",
"version": "v1"
}
] | 2023-05-17 | [
[
"Welde",
"Jake",
""
],
[
"Kumar",
"Vijay",
""
]
] | Differential flatness enables efficient planning and control for underactuated robotic systems, but we lack a systematic and practical means of identifying a flat output (or determining whether one exists) for an arbitrary robotic system. In this work, we leverage recent results elucidating the role of symmetry in cons... |
1107.3759 | Dejan Munjin | Dejan Munjin, Jean-Henry Morin | User Empowerment in the Internet of Things | null | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper focuses on the characteristics of two big triggers that
facilitated wide user adoption of the Internet: Web 2.0 and online social
networks. We detect brakes for reproduction of these events in Internet of
things. To support our hypothesis we first compare the difference between the
ways of use of the Inter... | [
{
"created": "Tue, 19 Jul 2011 16:09:07 GMT",
"version": "v1"
}
] | 2011-07-20 | [
[
"Munjin",
"Dejan",
""
],
[
"Morin",
"Jean-Henry",
""
]
] | This paper focuses on the characteristics of two big triggers that facilitated wide user adoption of the Internet: Web 2.0 and online social networks. We detect brakes for reproduction of these events in Internet of things. To support our hypothesis we first compare the difference between the ways of use of the Interne... |
1510.00132 | MIkhail Hushchyn | Mikhail Hushchyn, Philippe Charpentier, Andrey Ustyuzhanin | Disk storage management for LHCb based on Data Popularity estimator | null | null | 10.1088/1742-6596/664/4/042026 | null | cs.DC cs.LG physics.data-an | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents an algorithm providing recommendations for optimizing the
LHCb data storage. The LHCb data storage system is a hybrid system. All
datasets are kept as archives on magnetic tapes. The most popular datasets are
kept on disks. The algorithm takes the dataset usage history and metadata
(size, type, co... | [
{
"created": "Thu, 1 Oct 2015 07:40:37 GMT",
"version": "v1"
}
] | 2016-01-20 | [
[
"Hushchyn",
"Mikhail",
""
],
[
"Charpentier",
"Philippe",
""
],
[
"Ustyuzhanin",
"Andrey",
""
]
] | This paper presents an algorithm providing recommendations for optimizing the LHCb data storage. The LHCb data storage system is a hybrid system. All datasets are kept as archives on magnetic tapes. The most popular datasets are kept on disks. The algorithm takes the dataset usage history and metadata (size, type, conf... |
1412.2662 | Dmitry Zakablukov | Dmitry V. Zakablukov | On Gate Complexity of Reversible Circuits Consisting of NOT, CNOT and
2-CNOT Gates | In Russian, 18 pages, 1 figure | null | 10.4213/dm1365 | null | cs.ET | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The paper discusses the gate complexity of reversible circuits consisting of
NOT, CNOT and 2-CNOT gates. The Shannon gate complexity function $L(n, q)$ for
a reversible circuit, implementing a Boolean transformation $f\colon \mathbb
Z_2^n \to \mathbb Z_2^n$, is defined as a function of $n$ and the number of
additiona... | [
{
"created": "Mon, 8 Dec 2014 16:58:12 GMT",
"version": "v1"
},
{
"created": "Sat, 13 Feb 2016 12:15:30 GMT",
"version": "v2"
}
] | 2016-07-08 | [
[
"Zakablukov",
"Dmitry V.",
""
]
] | The paper discusses the gate complexity of reversible circuits consisting of NOT, CNOT and 2-CNOT gates. The Shannon gate complexity function $L(n, q)$ for a reversible circuit, implementing a Boolean transformation $f\colon \mathbb Z_2^n \to \mathbb Z_2^n$, is defined as a function of $n$ and the number of additional ... |
1305.2704 | Ahmad Alamgir Khan Mr | Ahmad Alamgir Khan | Preventing Phishing Attacks using One Time Password and User Machine
Identification | 5 Pages, 8 Figures, Published with International Journal of Computer
Applications 0975 8887 Volume 68 No.3, April 2013 | International Journal of Computer Applications 68(3):7-11, April
2013 | 10.5120/11557-6839 | null | cs.CR | http://creativecommons.org/licenses/by/3.0/ | Phishing is a type of attack in which cyber criminals tricks the victims to
steal their personal and financial data. It has become an organized criminal
activity. Spoofed emails claiming to be from legitimate source are crafted in a
way to lead victims to reveal their personal, financial data by misdirecting
them to ... | [
{
"created": "Mon, 13 May 2013 08:41:13 GMT",
"version": "v1"
}
] | 2013-05-14 | [
[
"Khan",
"Ahmad Alamgir",
""
]
] | Phishing is a type of attack in which cyber criminals tricks the victims to steal their personal and financial data. It has become an organized criminal activity. Spoofed emails claiming to be from legitimate source are crafted in a way to lead victims to reveal their personal, financial data by misdirecting them to th... |
1406.3969 | Siddhartha Ghosh | Siddhartha Ghosh, Sujata Thamke and Kalyani U.R.S | Translation Of Telugu-Marathi and Vice-Versa using Rule Based Machine
Translation | 13 pages, Fourth International Conference on Advances in Computing
and Information Technology (ACITY 2014) Delhi, India - May 2014 | null | 10.5121/csit.2014.4501 | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In todays digital world automated Machine Translation of one language to
another has covered a long way to achieve different kinds of success stories.
Whereas Babel Fish supports a good number of foreign languages and only Hindi
from Indian languages, the Google Translator takes care of about 10 Indian
languages. Tho... | [
{
"created": "Mon, 16 Jun 2014 10:59:03 GMT",
"version": "v1"
}
] | 2014-06-17 | [
[
"Ghosh",
"Siddhartha",
""
],
[
"Thamke",
"Sujata",
""
],
[
"S",
"Kalyani U. R.",
""
]
] | In todays digital world automated Machine Translation of one language to another has covered a long way to achieve different kinds of success stories. Whereas Babel Fish supports a good number of foreign languages and only Hindi from Indian languages, the Google Translator takes care of about 10 Indian languages. Thoug... |
1911.01763 | Rahat Yeasin Emon | Rahat Yeasin Emon, Sharmistha Chanda Tista | An Efficient Word Lookup System by using Improved Trie Algorithm | 6 pages | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Efficiently word storing and searching is an important task in computer
science. An application space complexity, time complexity, and overall
performance depend on this string data. Many word searching data structures and
algorithms exist in the current world but few of them have space compress
ability. Trie is a po... | [
{
"created": "Tue, 5 Nov 2019 13:36:15 GMT",
"version": "v1"
}
] | 2019-11-06 | [
[
"Emon",
"Rahat Yeasin",
""
],
[
"Tista",
"Sharmistha Chanda",
""
]
] | Efficiently word storing and searching is an important task in computer science. An application space complexity, time complexity, and overall performance depend on this string data. Many word searching data structures and algorithms exist in the current world but few of them have space compress ability. Trie is a popu... |
1910.14673 | Tiantian Fang | Tiantian Fang and Alexander G. Schwing | Co-Generation with GANs using AIS based HMC | Accepted to NeurIPS 2019 | null | null | null | cs.CV cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | Inferring the most likely configuration for a subset of variables of a joint
distribution given the remaining ones - which we refer to as co-generation - is
an important challenge that is computationally demanding for all but the
simplest settings. This task has received a considerable amount of attention,
particular... | [
{
"created": "Thu, 31 Oct 2019 17:59:59 GMT",
"version": "v1"
}
] | 2019-11-01 | [
[
"Fang",
"Tiantian",
""
],
[
"Schwing",
"Alexander G.",
""
]
] | Inferring the most likely configuration for a subset of variables of a joint distribution given the remaining ones - which we refer to as co-generation - is an important challenge that is computationally demanding for all but the simplest settings. This task has received a considerable amount of attention, particularly... |
1811.10376 | Yi-Te Hsu | Yi-Te Hsu, Zining Zhu, Chi-Te Wang, Shih-Hau Fang, Frank Rudzicz, Yu
Tsao | Robustness against the channel effect in pathological voice detection | Machine Learning for Health (ML4H) Workshop at NeurIPS 2018
arXiv:1811.07216 | null | null | ML4H/2018/200 | cs.LG cs.SD eess.AS stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many people are suffering from voice disorders, which can adversely affect
the quality of their lives. In response, some researchers have proposed
algorithms for automatic assessment of these disorders, based on voice signals.
However, these signals can be sensitive to the recording devices. Indeed, the
channel effec... | [
{
"created": "Mon, 26 Nov 2018 14:11:12 GMT",
"version": "v1"
},
{
"created": "Sun, 2 Dec 2018 14:52:39 GMT",
"version": "v2"
}
] | 2018-12-04 | [
[
"Hsu",
"Yi-Te",
""
],
[
"Zhu",
"Zining",
""
],
[
"Wang",
"Chi-Te",
""
],
[
"Fang",
"Shih-Hau",
""
],
[
"Rudzicz",
"Frank",
""
],
[
"Tsao",
"Yu",
""
]
] | Many people are suffering from voice disorders, which can adversely affect the quality of their lives. In response, some researchers have proposed algorithms for automatic assessment of these disorders, based on voice signals. However, these signals can be sensitive to the recording devices. Indeed, the channel effect ... |
0905.0079 | Thorsten Hehn | Thorsten Hehn, Johannes B. Huber, Olgica Milenkovic, Stefan Laendner | Multiple-Bases Belief-Propagation Decoding of High-Density Cyclic Codes | This full paper accompanies a letter submitted to "IEEE Transactions
on Communications". It is intended to provide detailed information for
interested readers of the letter. 24 pages, 6 figures | null | 10.1109/TCOMM.2010.01.070468 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a new method for decoding short and moderate length linear block
codes with dense parity-check matrix representations of cyclic form, termed
multiple-bases belief-propagation (MBBP). The proposed iterative scheme makes
use of the fact that a code has many structurally diverse parity-check
matrices, capab... | [
{
"created": "Fri, 1 May 2009 11:15:25 GMT",
"version": "v1"
}
] | 2016-11-15 | [
[
"Hehn",
"Thorsten",
""
],
[
"Huber",
"Johannes B.",
""
],
[
"Milenkovic",
"Olgica",
""
],
[
"Laendner",
"Stefan",
""
]
] | We introduce a new method for decoding short and moderate length linear block codes with dense parity-check matrix representations of cyclic form, termed multiple-bases belief-propagation (MBBP). The proposed iterative scheme makes use of the fact that a code has many structurally diverse parity-check matrices, capable... |
1306.6657 | Markus Rabe | Bernd Finkbeiner, Markus N. Rabe, and C\'esar S\'anchez | A Temporal Logic for Hyperproperties | null | null | null | null | cs.LO cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Hyperproperties, as introduced by Clarkson and Schneider, characterize the
correctness of a computer program as a condition on its set of computation
paths. Standard temporal logics can only refer to a single path at a time, and
therefore cannot express many hyperproperties of interest, including
noninterference and ... | [
{
"created": "Thu, 27 Jun 2013 20:39:03 GMT",
"version": "v1"
}
] | 2013-07-01 | [
[
"Finkbeiner",
"Bernd",
""
],
[
"Rabe",
"Markus N.",
""
],
[
"Sánchez",
"César",
""
]
] | Hyperproperties, as introduced by Clarkson and Schneider, characterize the correctness of a computer program as a condition on its set of computation paths. Standard temporal logics can only refer to a single path at a time, and therefore cannot express many hyperproperties of interest, including noninterference and ot... |
2308.00931 | Risheng Liu | Zengxi Zhang, Zhiying Jiang, Jinyuan Liu, Xin Fan, Risheng Liu | WaterFlow: Heuristic Normalizing Flow for Underwater Image Enhancement
and Beyond | 10 pages, 13 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Underwater images suffer from light refraction and absorption, which impairs
visibility and interferes the subsequent applications. Existing underwater
image enhancement methods mainly focus on image quality improvement, ignoring
the effect on practice. To balance the visual quality and application, we
propose a heur... | [
{
"created": "Wed, 2 Aug 2023 04:17:35 GMT",
"version": "v1"
}
] | 2023-08-03 | [
[
"Zhang",
"Zengxi",
""
],
[
"Jiang",
"Zhiying",
""
],
[
"Liu",
"Jinyuan",
""
],
[
"Fan",
"Xin",
""
],
[
"Liu",
"Risheng",
""
]
] | Underwater images suffer from light refraction and absorption, which impairs visibility and interferes the subsequent applications. Existing underwater image enhancement methods mainly focus on image quality improvement, ignoring the effect on practice. To balance the visual quality and application, we propose a heuris... |
2312.10099 | Shun Liu | Shun Liu, Jianan Zhang, Ruocheng Song, Teik Toe Teoh | ADA-YOLO: Dynamic Fusion of YOLOv8 and Adaptive Heads for Precise Image
Detection and Diagnosis | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Object detection and localization are crucial tasks for biomedical image
analysis, particularly in the field of hematology where the detection and
recognition of blood cells are essential for diagnosis and treatment decisions.
While attention-based methods have shown significant progress in object
detection in variou... | [
{
"created": "Thu, 14 Dec 2023 18:27:13 GMT",
"version": "v1"
}
] | 2023-12-19 | [
[
"Liu",
"Shun",
""
],
[
"Zhang",
"Jianan",
""
],
[
"Song",
"Ruocheng",
""
],
[
"Teoh",
"Teik Toe",
""
]
] | Object detection and localization are crucial tasks for biomedical image analysis, particularly in the field of hematology where the detection and recognition of blood cells are essential for diagnosis and treatment decisions. While attention-based methods have shown significant progress in object detection in various ... |
2311.17795 | Guy Hay | Guy Hay and Ohad Volk | Marginal Laplacian Score | 10 pages | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | High-dimensional imbalanced data poses a machine learning challenge. In the
absence of sufficient or high-quality labels, unsupervised feature selection
methods are crucial for the success of subsequent algorithms. Therefore, we
introduce a Marginal Laplacian Score (MLS), a modification of the well known
Laplacian Sc... | [
{
"created": "Wed, 29 Nov 2023 16:45:43 GMT",
"version": "v1"
},
{
"created": "Fri, 2 Feb 2024 08:06:51 GMT",
"version": "v2"
}
] | 2024-02-05 | [
[
"Hay",
"Guy",
""
],
[
"Volk",
"Ohad",
""
]
] | High-dimensional imbalanced data poses a machine learning challenge. In the absence of sufficient or high-quality labels, unsupervised feature selection methods are crucial for the success of subsequent algorithms. Therefore, we introduce a Marginal Laplacian Score (MLS), a modification of the well known Laplacian Scor... |
1905.10902 | Darren Strash | Damir Ferizovic and Demian Hespe and Sebastian Lamm and Matthias Mnich
and Christian Schulz and Darren Strash | Engineering Kernelization for Maximum Cut | 16 pages, 4 tables, 2 figures | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Kernelization is a general theoretical framework for preprocessing instances
of NP-hard problems into (generally smaller) instances with bounded size, via
the repeated application of data reduction rules. For the fundamental Max Cut
problem, kernelization algorithms are theoretically highly efficient for
various para... | [
{
"created": "Sun, 26 May 2019 23:12:33 GMT",
"version": "v1"
}
] | 2019-05-28 | [
[
"Ferizovic",
"Damir",
""
],
[
"Hespe",
"Demian",
""
],
[
"Lamm",
"Sebastian",
""
],
[
"Mnich",
"Matthias",
""
],
[
"Schulz",
"Christian",
""
],
[
"Strash",
"Darren",
""
]
] | Kernelization is a general theoretical framework for preprocessing instances of NP-hard problems into (generally smaller) instances with bounded size, via the repeated application of data reduction rules. For the fundamental Max Cut problem, kernelization algorithms are theoretically highly efficient for various parame... |
2404.19048 | Ximing Dong | Ximing Dong, Dayi Lin, Shaowei Wang, Ahmed E. Hassan | A Framework for Real-time Safeguarding the Text Generation of Large
Language Model | null | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large Language Models (LLMs) have significantly advanced natural language
processing (NLP) tasks but also pose ethical and societal risks due to their
propensity to generate harmful content. To address this, various approaches
have been developed to safeguard LLMs from producing unsafe content. However,
existing meth... | [
{
"created": "Mon, 29 Apr 2024 18:40:01 GMT",
"version": "v1"
},
{
"created": "Wed, 1 May 2024 19:53:12 GMT",
"version": "v2"
}
] | 2024-05-03 | [
[
"Dong",
"Ximing",
""
],
[
"Lin",
"Dayi",
""
],
[
"Wang",
"Shaowei",
""
],
[
"Hassan",
"Ahmed E.",
""
]
] | Large Language Models (LLMs) have significantly advanced natural language processing (NLP) tasks but also pose ethical and societal risks due to their propensity to generate harmful content. To address this, various approaches have been developed to safeguard LLMs from producing unsafe content. However, existing method... |
2104.03879 | Dat Quoc Nguyen | Thinh Hung Truong, Mai Hoang Dao, Dat Quoc Nguyen | COVID-19 Named Entity Recognition for Vietnamese | To appear in Proceedings of NAACL 2021 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The current COVID-19 pandemic has lead to the creation of many corpora that
facilitate NLP research and downstream applications to help fight the pandemic.
However, most of these corpora are exclusively for English. As the pandemic is
a global problem, it is worth creating COVID-19 related datasets for languages
othe... | [
{
"created": "Thu, 8 Apr 2021 16:35:34 GMT",
"version": "v1"
}
] | 2021-04-09 | [
[
"Truong",
"Thinh Hung",
""
],
[
"Dao",
"Mai Hoang",
""
],
[
"Nguyen",
"Dat Quoc",
""
]
] | The current COVID-19 pandemic has lead to the creation of many corpora that facilitate NLP research and downstream applications to help fight the pandemic. However, most of these corpora are exclusively for English. As the pandemic is a global problem, it is worth creating COVID-19 related datasets for languages other ... |
1811.11262 | Pieter Stroobant | Pieter Stroobant, Sergi Abadal, Wouter Tavernier, Eduard Alarc\'on,
Didier Colle, and Mario Pickavet | A General, Fault tolerant, Adaptive, Deadlock-free Routing Protocol for
Network-on-chip | Presented at 11th International Workshop on Network on Chip
Architectures (NoCArc 2018) | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The paper presents a topology-agnostic greedy protocol for network-on-chip
routing. The proposed routing algorithm can tolerate any number of permanent
faults, and is proven to be deadlock-free. We introduce a specialized variant
of the algorithm, which is optimized for 2D mesh networks, both flat and
wireless. The a... | [
{
"created": "Thu, 25 Oct 2018 04:59:37 GMT",
"version": "v1"
}
] | 2018-11-29 | [
[
"Stroobant",
"Pieter",
""
],
[
"Abadal",
"Sergi",
""
],
[
"Tavernier",
"Wouter",
""
],
[
"Alarcón",
"Eduard",
""
],
[
"Colle",
"Didier",
""
],
[
"Pickavet",
"Mario",
""
]
] | The paper presents a topology-agnostic greedy protocol for network-on-chip routing. The proposed routing algorithm can tolerate any number of permanent faults, and is proven to be deadlock-free. We introduce a specialized variant of the algorithm, which is optimized for 2D mesh networks, both flat and wireless. The ada... |
1708.08551 | Mohammad Amin Nabian | Mohammad Amin Nabian, Hadi Meidani | Deep Learning for Accelerated Reliability Analysis of Infrastructure
Networks | null | Nabian, M. A. and Meidani, H. (2018), Deep Learning for
Accelerated Seismic Reliability Analysis of Transportation Networks. Computer
Aided Civil and Infrastructure Engineering, 33: 443-458 | 10.1111/mice.12359 | null | cs.CE cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Natural disasters can have catastrophic impacts on the functionality of
infrastructure systems and cause severe physical and socio-economic losses.
Given budget constraints, it is crucial to optimize decisions regarding
mitigation, preparedness, response, and recovery practices for these systems.
This requires accura... | [
{
"created": "Mon, 28 Aug 2017 22:41:11 GMT",
"version": "v1"
}
] | 2018-06-11 | [
[
"Nabian",
"Mohammad Amin",
""
],
[
"Meidani",
"Hadi",
""
]
] | Natural disasters can have catastrophic impacts on the functionality of infrastructure systems and cause severe physical and socio-economic losses. Given budget constraints, it is crucial to optimize decisions regarding mitigation, preparedness, response, and recovery practices for these systems. This requires accurate... |
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