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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2208.06787 | Kim Yu-Ji | Kim Jun-Seong, Kim Yu-Ji, Moon Ye-Bin, Tae-Hyun Oh | HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields | Accepted at ECCV 2022. [Project page] https://hdr-plenoxels.github.io
[Code] https://github.com/postech-ami/HDR-Plenoxels | null | null | null | cs.CV cs.AI cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose high dynamic range (HDR) radiance fields, HDR-Plenoxels, that
learn a plenoptic function of 3D HDR radiance fields, geometry information, and
varying camera settings inherent in 2D low dynamic range (LDR) images. Our
voxel-based volume rendering pipeline reconstructs HDR radiance fields with
only multi-vie... | [
{
"created": "Sun, 14 Aug 2022 06:12:22 GMT",
"version": "v1"
},
{
"created": "Fri, 18 Nov 2022 13:32:35 GMT",
"version": "v2"
}
] | 2022-11-21 | [
[
"Jun-Seong",
"Kim",
""
],
[
"Yu-Ji",
"Kim",
""
],
[
"Ye-Bin",
"Moon",
""
],
[
"Oh",
"Tae-Hyun",
""
]
] | We propose high dynamic range (HDR) radiance fields, HDR-Plenoxels, that learn a plenoptic function of 3D HDR radiance fields, geometry information, and varying camera settings inherent in 2D low dynamic range (LDR) images. Our voxel-based volume rendering pipeline reconstructs HDR radiance fields with only multi-view ... |
2309.07981 | Varun Suryan | Varun Suryan, Pratap Tokekar | Efficiently Identifying Hotspots in a Spatially Varying Field with
Multiple Robots | null | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | In this paper, we present algorithms to identify environmental hotspots using
mobile sensors. We examine two approaches: one involving a single robot and
another using multiple robots coordinated through a decentralized robot system.
We introduce an adaptive algorithm that does not require precise knowledge of
Gaussi... | [
{
"created": "Thu, 14 Sep 2023 18:33:11 GMT",
"version": "v1"
}
] | 2023-09-18 | [
[
"Suryan",
"Varun",
""
],
[
"Tokekar",
"Pratap",
""
]
] | In this paper, we present algorithms to identify environmental hotspots using mobile sensors. We examine two approaches: one involving a single robot and another using multiple robots coordinated through a decentralized robot system. We introduce an adaptive algorithm that does not require precise knowledge of Gaussian... |
2105.14512 | Mishel Jain | Mishel Jain, Priyanka Singh, Balasubramanian Raman | SHELBRS: Location Based Recommendation Services using Switchable
Homomorphic Encryption | 9 pages, 6 figures, 3 tables | null | null | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | Location-Based Recommendation Services (LBRS) has seen an unprecedented rise
in its usage in recent years. LBRS facilitates a user by recommending services
based on his location and past preferences. However, leveraging such services
comes at a cost of compromising one's sensitive information like their shopping
pref... | [
{
"created": "Sun, 30 May 2021 11:48:34 GMT",
"version": "v1"
}
] | 2021-06-01 | [
[
"Jain",
"Mishel",
""
],
[
"Singh",
"Priyanka",
""
],
[
"Raman",
"Balasubramanian",
""
]
] | Location-Based Recommendation Services (LBRS) has seen an unprecedented rise in its usage in recent years. LBRS facilitates a user by recommending services based on his location and past preferences. However, leveraging such services comes at a cost of compromising one's sensitive information like their shopping prefer... |
1507.06888 | Luiz Capretz Dr. | Arif Raza, Zaka-ul-Mustafa, Luiz Fernando Capretz | Do Personality Profiles Differ in the Pakistani Software Industry and
Academia - A Case Study | null | International Journal of Software Engineering, 3(4):60-66, 2012 | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Effects of personality profiles and human factors in software engineering
(SE) have been studied from different perspectives, such as: software life
cycle, team performance, software quality attributes, and so on. This study
intends to compare personality profiles of software engineers in academia and
industry. In th... | [
{
"created": "Fri, 24 Jul 2015 15:30:07 GMT",
"version": "v1"
}
] | 2015-07-27 | [
[
"Raza",
"Arif",
""
],
[
"Zaka-ul-Mustafa",
"",
""
],
[
"Capretz",
"Luiz Fernando",
""
]
] | Effects of personality profiles and human factors in software engineering (SE) have been studied from different perspectives, such as: software life cycle, team performance, software quality attributes, and so on. This study intends to compare personality profiles of software engineers in academia and industry. In this... |
1907.03841 | Mar\'ia Aurora Mart\'inez Rey | Juan A. Lara, David Lizcano, Mar\'ia A. Mart\'inez, Juan Pazos | The Advent of Technological Singularity: a Formal Metric | null | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Technological Singularity; that is, the possibility of achieving a
General Artificial Intelligence (AGI) that surpasses human intelligence, is one
of the vital paradigms of today's humanity. However, until now only opinions
about its possibility and/or achievement were issued, therefore, in this work,
a metric is... | [
{
"created": "Tue, 25 Jun 2019 10:17:39 GMT",
"version": "v1"
}
] | 2019-07-10 | [
[
"Lara",
"Juan A.",
""
],
[
"Lizcano",
"David",
""
],
[
"Martínez",
"María A.",
""
],
[
"Pazos",
"Juan",
""
]
] | The Technological Singularity; that is, the possibility of achieving a General Artificial Intelligence (AGI) that surpasses human intelligence, is one of the vital paradigms of today's humanity. However, until now only opinions about its possibility and/or achievement were issued, therefore, in this work, a metric is p... |
2401.12520 | Jiahui Zhao | Jiahui Zhao, Ziyi Meng, Stepan Gordeev, Zijie Pan, Dongjin Song,
Sandro Steinbach, Caiwen Ding | Key Information Retrieval to Classify the Unstructured Data Content of
Preferential Trade Agreements | AI4TS Workshop@AAAI 2024 accepted publication | null | null | null | cs.CL cs.IR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the rapid proliferation of textual data, predicting long texts has
emerged as a significant challenge in the domain of natural language
processing. Traditional text prediction methods encounter substantial
difficulties when grappling with long texts, primarily due to the presence of
redundant and irrelevant info... | [
{
"created": "Tue, 23 Jan 2024 06:30:05 GMT",
"version": "v1"
}
] | 2024-01-24 | [
[
"Zhao",
"Jiahui",
""
],
[
"Meng",
"Ziyi",
""
],
[
"Gordeev",
"Stepan",
""
],
[
"Pan",
"Zijie",
""
],
[
"Song",
"Dongjin",
""
],
[
"Steinbach",
"Sandro",
""
],
[
"Ding",
"Caiwen",
""
]
] | With the rapid proliferation of textual data, predicting long texts has emerged as a significant challenge in the domain of natural language processing. Traditional text prediction methods encounter substantial difficulties when grappling with long texts, primarily due to the presence of redundant and irrelevant inform... |
2401.01425 | Alireza Shamsoshoara | Alireza Shamsoshoara, Safin B Salih, Pedram Aghazadeh | SwapTransformer: highway overtaking tactical planner model via imitation
learning on OSHA dataset | 19 pages, 12 Figures, 1 Algorithm, 2 Tables | null | null | null | cs.AI cs.CV cs.LG cs.RO | http://creativecommons.org/licenses/by/4.0/ | This paper investigates the high-level decision-making problem in highway
scenarios regarding lane changing and over-taking other slower vehicles. In
particular, this paper aims to improve the Travel Assist feature for automatic
overtaking and lane changes on highways. About 9 million samples including lane
images an... | [
{
"created": "Tue, 2 Jan 2024 20:28:06 GMT",
"version": "v1"
}
] | 2024-01-04 | [
[
"Shamsoshoara",
"Alireza",
""
],
[
"Salih",
"Safin B",
""
],
[
"Aghazadeh",
"Pedram",
""
]
] | This paper investigates the high-level decision-making problem in highway scenarios regarding lane changing and over-taking other slower vehicles. In particular, this paper aims to improve the Travel Assist feature for automatic overtaking and lane changes on highways. About 9 million samples including lane images and ... |
2404.06831 | Nirjhar Das | Ayush Sawarni, Nirjhar Das, Siddharth Barman, Gaurav Sinha | Generalized Linear Bandits with Limited Adaptivity | Reorganization; New Experiments | null | null | null | cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We study the generalized linear contextual bandit problem within the
constraints of limited adaptivity. In this paper, we present two algorithms,
$\texttt{B-GLinCB}$ and $\texttt{RS-GLinCB}$, that address, respectively, two
prevalent limited adaptivity settings. Given a budget $M$ on the number of
policy updates, in ... | [
{
"created": "Wed, 10 Apr 2024 08:47:57 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Apr 2024 13:38:13 GMT",
"version": "v2"
},
{
"created": "Fri, 14 Jun 2024 08:11:11 GMT",
"version": "v3"
}
] | 2024-06-17 | [
[
"Sawarni",
"Ayush",
""
],
[
"Das",
"Nirjhar",
""
],
[
"Barman",
"Siddharth",
""
],
[
"Sinha",
"Gaurav",
""
]
] | We study the generalized linear contextual bandit problem within the constraints of limited adaptivity. In this paper, we present two algorithms, $\texttt{B-GLinCB}$ and $\texttt{RS-GLinCB}$, that address, respectively, two prevalent limited adaptivity settings. Given a budget $M$ on the number of policy updates, in th... |
2002.03079 | Tianxiao Shen | Tianxiao Shen, Victor Quach, Regina Barzilay, Tommi Jaakkola | Blank Language Models | EMNLP 2020 camera-ready | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose Blank Language Model (BLM), a model that generates sequences by
dynamically creating and filling in blanks. The blanks control which part of
the sequence to expand, making BLM ideal for a variety of text editing and
rewriting tasks. The model can start from a single blank or partially completed
text with b... | [
{
"created": "Sat, 8 Feb 2020 03:41:37 GMT",
"version": "v1"
},
{
"created": "Tue, 17 Nov 2020 02:54:45 GMT",
"version": "v2"
}
] | 2020-11-18 | [
[
"Shen",
"Tianxiao",
""
],
[
"Quach",
"Victor",
""
],
[
"Barzilay",
"Regina",
""
],
[
"Jaakkola",
"Tommi",
""
]
] | We propose Blank Language Model (BLM), a model that generates sequences by dynamically creating and filling in blanks. The blanks control which part of the sequence to expand, making BLM ideal for a variety of text editing and rewriting tasks. The model can start from a single blank or partially completed text with bla... |
1105.4246 | Maria Montserrat Alonso Ferrero | M. Montserrat Alonso Ferrero | Voronoi Diagram: The Generator Recognition Problem | Project Summary | null | null | null | cs.CG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | For the analysis of systems consisting of small, regular objects, the methods
of mathematical morphology applied to images of these systems are well-suited.
One of these methods is the use of Voronoi polygons. It was found that the
Voronoi tessellation method represents a powerful tool for the analysis of thin
film m... | [
{
"created": "Sat, 21 May 2011 10:18:50 GMT",
"version": "v1"
}
] | 2011-05-24 | [
[
"Ferrero",
"M. Montserrat Alonso",
""
]
] | For the analysis of systems consisting of small, regular objects, the methods of mathematical morphology applied to images of these systems are well-suited. One of these methods is the use of Voronoi polygons. It was found that the Voronoi tessellation method represents a powerful tool for the analysis of thin film mor... |
2302.00928 | Shinsaku Sakaue | Shinsaku Sakaue and Taihei Oki | Rethinking Warm-Starts with Predictions: Learning Predictions Close to
Sets of Optimal Solutions for Faster $\text{L}$-/$\text{L}^\natural$-Convex
Function Minimization | null | null | null | null | cs.LG cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An emerging line of work has shown that machine-learned predictions are
useful to warm-start algorithms for discrete optimization problems, such as
bipartite matching. Previous studies have shown time complexity bounds
proportional to some distance between a prediction and an optimal solution,
which we can approximat... | [
{
"created": "Thu, 2 Feb 2023 08:00:18 GMT",
"version": "v1"
}
] | 2023-02-03 | [
[
"Sakaue",
"Shinsaku",
""
],
[
"Oki",
"Taihei",
""
]
] | An emerging line of work has shown that machine-learned predictions are useful to warm-start algorithms for discrete optimization problems, such as bipartite matching. Previous studies have shown time complexity bounds proportional to some distance between a prediction and an optimal solution, which we can approximatel... |
2107.04207 | Pedro Enrique Iturria Rivera Mr. | Pedro Enrique Iturria Rivera and Melike Erol-Kantarci | QoS-Aware Load Balancing in Wireless Networks using Clipped Double
Q-Learning | null | null | 10.1109/MASS52906.2021.00011 | null | cs.NI | http://creativecommons.org/licenses/by/4.0/ | In recent years, long-term evolution (LTE) and 5G NR (5th Generation New
Radio) technologies have showed great potential to utilize Machine Learning
(ML) algorithms in optimizing their operations, both thanks to the availability
of fine-grained data from the field, as well as the need arising from growing
complexity ... | [
{
"created": "Fri, 9 Jul 2021 04:49:24 GMT",
"version": "v1"
}
] | 2021-10-18 | [
[
"Rivera",
"Pedro Enrique Iturria",
""
],
[
"Erol-Kantarci",
"Melike",
""
]
] | In recent years, long-term evolution (LTE) and 5G NR (5th Generation New Radio) technologies have showed great potential to utilize Machine Learning (ML) algorithms in optimizing their operations, both thanks to the availability of fine-grained data from the field, as well as the need arising from growing complexity of... |
2009.00288 | Qin Yang | Qin Yang and Ramviyas Parasuraman | Needs-driven Heterogeneous Multi-Robot Cooperation in Rescue Missions | This is the final version accepted by the 2020 International
Symposium on Safety, Security and Rescue Robotics (SSRR 2020) | null | null | null | cs.MA cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper focuses on the teaming aspects and the role of heterogeneity in a
multi-robot system applied to robot-aided urban search and rescue (USAR)
missions. We propose a needs-driven multi-robot cooperation mechanism
represented through a Behavior Tree structure and evaluate the system's
performance in terms of th... | [
{
"created": "Tue, 1 Sep 2020 08:37:36 GMT",
"version": "v1"
},
{
"created": "Sun, 25 Oct 2020 15:15:08 GMT",
"version": "v2"
}
] | 2020-10-27 | [
[
"Yang",
"Qin",
""
],
[
"Parasuraman",
"Ramviyas",
""
]
] | This paper focuses on the teaming aspects and the role of heterogeneity in a multi-robot system applied to robot-aided urban search and rescue (USAR) missions. We propose a needs-driven multi-robot cooperation mechanism represented through a Behavior Tree structure and evaluate the system's performance in terms of the ... |
2008.01780 | Sejal Bhalla | Dikshant Sagar, Jatin Garg, Prarthana Kansal, Sejal Bhalla, Rajiv Ratn
Shah and Yi Yu | PAI-BPR: Personalized Outfit Recommendation Scheme with Attribute-wise
Interpretability | 10 pages, 5 figures, to be published in IEEE BigMM, 2020 | null | null | null | cs.CV cs.IR cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Fashion is an important part of human experience. Events such as interviews,
meetings, marriages, etc. are often based on clothing styles. The rise in the
fashion industry and its effect on social influencing have made outfit
compatibility a need. Thus, it necessitates an outfit compatibility model to
aid people in c... | [
{
"created": "Tue, 4 Aug 2020 19:30:06 GMT",
"version": "v1"
}
] | 2020-08-06 | [
[
"Sagar",
"Dikshant",
""
],
[
"Garg",
"Jatin",
""
],
[
"Kansal",
"Prarthana",
""
],
[
"Bhalla",
"Sejal",
""
],
[
"Shah",
"Rajiv Ratn",
""
],
[
"Yu",
"Yi",
""
]
] | Fashion is an important part of human experience. Events such as interviews, meetings, marriages, etc. are often based on clothing styles. The rise in the fashion industry and its effect on social influencing have made outfit compatibility a need. Thus, it necessitates an outfit compatibility model to aid people in clo... |
2302.02097 | Emmanuel Aboah Boateng | Emmanuel Aboah Boateng, and Bruce J. W | Unsupervised Ensemble Methods for Anomaly Detection in PLC-based Process
Control | 14 pages, 13 figures, IEEE Journal | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Programmable logic controller (PLC) based industrial control systems (ICS)
are used to monitor and control critical infrastructure. Integration of
communication networks and an Internet of Things approach in ICS has increased
ICS vulnerability to cyber-attacks. This work proposes novel unsupervised
machine learning e... | [
{
"created": "Sat, 4 Feb 2023 05:28:34 GMT",
"version": "v1"
}
] | 2023-02-07 | [
[
"Boateng",
"Emmanuel Aboah",
""
],
[
"W",
"Bruce J.",
""
]
] | Programmable logic controller (PLC) based industrial control systems (ICS) are used to monitor and control critical infrastructure. Integration of communication networks and an Internet of Things approach in ICS has increased ICS vulnerability to cyber-attacks. This work proposes novel unsupervised machine learning ens... |
0710.1404 | M Sabu THAMPI | Sabu M. Thampi, Ashwin a K | Performance Comparison of Persistence Frameworks | null | null | null | null | cs.DB cs.IR | null | One of the essential and most complex components in the software development
process is the database. The complexity increases when the "orientation" of the
interacting components differs. A persistence framework moves the program data
in its most natural form to and from a permanent data store, the database. Thus
a ... | [
{
"created": "Sun, 7 Oct 2007 08:22:53 GMT",
"version": "v1"
}
] | 2007-10-09 | [
[
"Thampi",
"Sabu M.",
""
],
[
"K",
"Ashwin a",
""
]
] | One of the essential and most complex components in the software development process is the database. The complexity increases when the "orientation" of the interacting components differs. A persistence framework moves the program data in its most natural form to and from a permanent data store, the database. Thus a pe... |
2312.04364 | Dar-Yen Chen Mr | Dar-Yen Chen and Ayan Kumar Bhunia and Subhadeep Koley and Aneeshan
Sain and Pinaki Nath Chowdhury and Yi-Zhe Song | DemoCaricature: Democratising Caricature Generation with a Rough Sketch | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | In this paper, we democratise caricature generation, empowering individuals
to effortlessly craft personalised caricatures with just a photo and a
conceptual sketch. Our objective is to strike a delicate balance between
abstraction and identity, while preserving the creativity and subjectivity
inherent in a sketch. T... | [
{
"created": "Thu, 7 Dec 2023 15:35:42 GMT",
"version": "v1"
},
{
"created": "Sun, 24 Mar 2024 17:22:35 GMT",
"version": "v2"
}
] | 2024-03-26 | [
[
"Chen",
"Dar-Yen",
""
],
[
"Bhunia",
"Ayan Kumar",
""
],
[
"Koley",
"Subhadeep",
""
],
[
"Sain",
"Aneeshan",
""
],
[
"Chowdhury",
"Pinaki Nath",
""
],
[
"Song",
"Yi-Zhe",
""
]
] | In this paper, we democratise caricature generation, empowering individuals to effortlessly craft personalised caricatures with just a photo and a conceptual sketch. Our objective is to strike a delicate balance between abstraction and identity, while preserving the creativity and subjectivity inherent in a sketch. To ... |
2302.08873 | Ziyi Zou | Ziyi Zou, Ziang Zhang, Zhen Lu, Xiang Li, You Wang, Jie Hao, and Guang
Li | Discrete States-Based Trajectory Planning for Nonholonomic Robots | 8 pages, 9 figures | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Due to nonholonomic dynamics, the motion planning of nonholonomic robots is
always a difficult problem. This letter presents a Discrete States-based
Trajectory Planning(DSTP) algorithm for autonomous nonholonomic robots. The
proposed algorithm represents the trajectory as x and y positions, orientation
angle, longitu... | [
{
"created": "Fri, 17 Feb 2023 13:42:14 GMT",
"version": "v1"
}
] | 2023-02-20 | [
[
"Zou",
"Ziyi",
""
],
[
"Zhang",
"Ziang",
""
],
[
"Lu",
"Zhen",
""
],
[
"Li",
"Xiang",
""
],
[
"Wang",
"You",
""
],
[
"Hao",
"Jie",
""
],
[
"Li",
"Guang",
""
]
] | Due to nonholonomic dynamics, the motion planning of nonholonomic robots is always a difficult problem. This letter presents a Discrete States-based Trajectory Planning(DSTP) algorithm for autonomous nonholonomic robots. The proposed algorithm represents the trajectory as x and y positions, orientation angle, longitude... |
1710.11241 | Digvijay Boob | Digvijay Boob and Guanghui Lan | Theoretical properties of the global optimizer of two layer neural
network | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we study the problem of optimizing a two-layer artificial
neural network that best fits a training dataset. We look at this problem in
the setting where the number of parameters is greater than the number of
sampled points. We show that for a wide class of differentiable activation
functions (this clas... | [
{
"created": "Mon, 30 Oct 2017 21:10:17 GMT",
"version": "v1"
}
] | 2017-11-01 | [
[
"Boob",
"Digvijay",
""
],
[
"Lan",
"Guanghui",
""
]
] | In this paper, we study the problem of optimizing a two-layer artificial neural network that best fits a training dataset. We look at this problem in the setting where the number of parameters is greater than the number of sampled points. We show that for a wide class of differentiable activation functions (this class ... |
2305.00553 | Wenli Zhang | Shaodong Wang and Qing Li and Wenli Zhang | MD-Manifold: A Medical-Distance-Based Representation Learning Approach
for Medical Concept and Patient Representation | The initial version was presented at the 54th Hawaii International
Conference on System Sciences. http://hdl.handle.net/10125/71209 | null | null | null | cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Effectively representing medical concepts and patients is important for
healthcare analytical applications. Representing medical concepts for
healthcare analytical tasks requires incorporating medical domain knowledge and
prior information from patient description data. Current methods, such as
feature engineering an... | [
{
"created": "Sun, 30 Apr 2023 18:58:32 GMT",
"version": "v1"
}
] | 2023-05-02 | [
[
"Wang",
"Shaodong",
""
],
[
"Li",
"Qing",
""
],
[
"Zhang",
"Wenli",
""
]
] | Effectively representing medical concepts and patients is important for healthcare analytical applications. Representing medical concepts for healthcare analytical tasks requires incorporating medical domain knowledge and prior information from patient description data. Current methods, such as feature engineering and ... |
2111.10990 | Daizong Liu | Daizong Liu, Wei Hu | Imperceptible Transfer Attack and Defense on 3D Point Cloud
Classification | null | null | null | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Although many efforts have been made into attack and defense on the 2D image
domain in recent years, few methods explore the vulnerability of 3D models.
Existing 3D attackers generally perform point-wise perturbation over point
clouds, resulting in deformed structures or outliers, which is easily
perceivable by human... | [
{
"created": "Mon, 22 Nov 2021 05:07:36 GMT",
"version": "v1"
},
{
"created": "Thu, 24 Mar 2022 05:26:47 GMT",
"version": "v2"
}
] | 2022-03-25 | [
[
"Liu",
"Daizong",
""
],
[
"Hu",
"Wei",
""
]
] | Although many efforts have been made into attack and defense on the 2D image domain in recent years, few methods explore the vulnerability of 3D models. Existing 3D attackers generally perform point-wise perturbation over point clouds, resulting in deformed structures or outliers, which is easily perceivable by humans.... |
2209.13115 | Chaoqun You | Chaoqun You, Daquan Feng, Kun Guo, Howard H. Yang, Tony Q. S. Quek | Semi-Synchronous Personalized Federated Learning over Mobile Edge
Networks | null | null | 10.1109/TWC.2022.3210434 | null | cs.LG cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Personalized Federated Learning (PFL) is a new Federated Learning (FL)
approach to address the heterogeneity issue of the datasets generated by
distributed user equipments (UEs). However, most existing PFL implementations
rely on synchronous training to ensure good convergence performances, which may
lead to a seriou... | [
{
"created": "Tue, 27 Sep 2022 02:12:43 GMT",
"version": "v1"
}
] | 2022-09-28 | [
[
"You",
"Chaoqun",
""
],
[
"Feng",
"Daquan",
""
],
[
"Guo",
"Kun",
""
],
[
"Yang",
"Howard H.",
""
],
[
"Quek",
"Tony Q. S.",
""
]
] | Personalized Federated Learning (PFL) is a new Federated Learning (FL) approach to address the heterogeneity issue of the datasets generated by distributed user equipments (UEs). However, most existing PFL implementations rely on synchronous training to ensure good convergence performances, which may lead to a serious ... |
2109.12773 | Lin Tian | Lin Tian, Xiuzhen Zhang and Jey Han Lau | Rumour Detection via Zero-shot Cross-lingual Transfer Learning | ECML-PKDD 2021 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most rumour detection models for social media are designed for one specific
language (mostly English). There are over 40 languages on Twitter and most
languages lack annotated resources to build rumour detection models. In this
paper we propose a zero-shot cross-lingual transfer learning framework that can
adapt a ru... | [
{
"created": "Mon, 27 Sep 2021 03:07:25 GMT",
"version": "v1"
}
] | 2021-09-28 | [
[
"Tian",
"Lin",
""
],
[
"Zhang",
"Xiuzhen",
""
],
[
"Lau",
"Jey Han",
""
]
] | Most rumour detection models for social media are designed for one specific language (mostly English). There are over 40 languages on Twitter and most languages lack annotated resources to build rumour detection models. In this paper we propose a zero-shot cross-lingual transfer learning framework that can adapt a rumo... |
1207.4127 | Bozhena Bidyuk | Bozhena Bidyuk, Rina Dechter | On finding minimal w-cutset | Appears in Proceedings of the Twentieth Conference on Uncertainty in
Artificial Intelligence (UAI2004) | null | null | UAI-P-2004-PG-43-50 | cs.DS cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The complexity of a reasoning task over a graphical model is tied to the
induced width of the underlying graph. It is well-known that the conditioning
(assigning values) on a subset of variables yields a subproblem of the reduced
complexity where instantiated variables are removed. If the assigned variables
constitut... | [
{
"created": "Wed, 11 Jul 2012 14:47:24 GMT",
"version": "v1"
}
] | 2012-07-19 | [
[
"Bidyuk",
"Bozhena",
""
],
[
"Dechter",
"Rina",
""
]
] | The complexity of a reasoning task over a graphical model is tied to the induced width of the underlying graph. It is well-known that the conditioning (assigning values) on a subset of variables yields a subproblem of the reduced complexity where instantiated variables are removed. If the assigned variables constitute ... |
1905.02367 | Samson Zhou | Dmitrii Avdiukhin, Slobodan Mitrovi\'c, Grigory Yaroslavtsev, Samson
Zhou | Adversarially Robust Submodular Maximization under Knapsack Constraints | To appear in KDD 2019 | null | null | null | cs.DS cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose the first adversarially robust algorithm for monotone submodular
maximization under single and multiple knapsack constraints with scalable
implementations in distributed and streaming settings. For a single knapsack
constraint, our algorithm outputs a robust summary of almost optimal (up to
polylogarithmic... | [
{
"created": "Tue, 7 May 2019 06:16:53 GMT",
"version": "v1"
}
] | 2019-05-08 | [
[
"Avdiukhin",
"Dmitrii",
""
],
[
"Mitrović",
"Slobodan",
""
],
[
"Yaroslavtsev",
"Grigory",
""
],
[
"Zhou",
"Samson",
""
]
] | We propose the first adversarially robust algorithm for monotone submodular maximization under single and multiple knapsack constraints with scalable implementations in distributed and streaming settings. For a single knapsack constraint, our algorithm outputs a robust summary of almost optimal (up to polylogarithmic f... |
2305.01891 | Li Xiumei | Shupeng Hu, Fei Li, Xiumei Li | Weight hierarchies of three-weight $p$-ary linear codes from
inhomogeneous quadratic forms | null | null | null | null | cs.IT math.IT | http://creativecommons.org/publicdomain/zero/1.0/ | The weight distribution and weight hierarchy of a linear code are two
important research topics in coding theory. In this paper, choosing $
D=\Big\{(x,y)\in
\Big(\F_{p^{s_1}}\times\F_{p^{s_2}}\Big)\Big\backslash\{(0,0)\}:
f(x)+\Tr_1^{s_2}(\alpha y)=0\Big\}$ as a defining set , where
$\alpha\in\mathbb{F}_{p^{s_2}}^*$ ... | [
{
"created": "Wed, 3 May 2023 04:52:29 GMT",
"version": "v1"
},
{
"created": "Thu, 4 May 2023 02:24:05 GMT",
"version": "v2"
},
{
"created": "Fri, 19 May 2023 02:35:15 GMT",
"version": "v3"
}
] | 2023-05-22 | [
[
"Hu",
"Shupeng",
""
],
[
"Li",
"Fei",
""
],
[
"Li",
"Xiumei",
""
]
] | The weight distribution and weight hierarchy of a linear code are two important research topics in coding theory. In this paper, choosing $ D=\Big\{(x,y)\in \Big(\F_{p^{s_1}}\times\F_{p^{s_2}}\Big)\Big\backslash\{(0,0)\}: f(x)+\Tr_1^{s_2}(\alpha y)=0\Big\}$ as a defining set , where $\alpha\in\mathbb{F}_{p^{s_2}}^*$ an... |
1508.01274 | Weiping Zhu | Weiping Zhu | Statistical Properties of Loss Rate Estimators in Tree Topology | 18 pages. arXiv admin note: substantial text overlap with
arXiv:1508.00949 | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Three types of explicit estimators are proposed here to estimate the loss
rates of the links in a network of the tree topology. All of them are derived
by the maximum likelihood principle and proved to be either asymptotic unbiased
or unbiased. In addition, a set of formulae are derived to compute the
efficiencies an... | [
{
"created": "Thu, 6 Aug 2015 04:00:32 GMT",
"version": "v1"
},
{
"created": "Fri, 25 Mar 2016 04:55:36 GMT",
"version": "v2"
}
] | 2016-03-28 | [
[
"Zhu",
"Weiping",
""
]
] | Three types of explicit estimators are proposed here to estimate the loss rates of the links in a network of the tree topology. All of them are derived by the maximum likelihood principle and proved to be either asymptotic unbiased or unbiased. In addition, a set of formulae are derived to compute the efficiencies and ... |
2205.07309 | Yinan Huang | Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang | 3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular
Linker Design | null | null | null | null | cs.LG cs.AI q-bio.BM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep learning has achieved tremendous success in designing novel chemical
compounds with desirable pharmaceutical properties. In this work, we focus on a
new type of drug design problem -- generating a small "linker" to physically
attach two independent molecules with their distinct functions. The main
computational ... | [
{
"created": "Sun, 15 May 2022 15:26:29 GMT",
"version": "v1"
}
] | 2022-05-17 | [
[
"Huang",
"Yinan",
""
],
[
"Peng",
"Xingang",
""
],
[
"Ma",
"Jianzhu",
""
],
[
"Zhang",
"Muhan",
""
]
] | Deep learning has achieved tremendous success in designing novel chemical compounds with desirable pharmaceutical properties. In this work, we focus on a new type of drug design problem -- generating a small "linker" to physically attach two independent molecules with their distinct functions. The main computational ch... |
2102.04770 | Konstantin Kutzkov | Konstantin Kutzkov | COLOGNE: Coordinated Local Graph Neighborhood Sampling | null | null | null | null | cs.LG cs.AI cs.DS | http://creativecommons.org/licenses/by/4.0/ | Representation learning for graphs enables the application of standard
machine learning algorithms and data analysis tools to graph data. Replacing
discrete unordered objects such as graph nodes by real-valued vectors is at the
heart of many approaches to learning from graph data. Such vector
representations, or embe... | [
{
"created": "Tue, 9 Feb 2021 11:39:06 GMT",
"version": "v1"
}
] | 2021-02-10 | [
[
"Kutzkov",
"Konstantin",
""
]
] | Representation learning for graphs enables the application of standard machine learning algorithms and data analysis tools to graph data. Replacing discrete unordered objects such as graph nodes by real-valued vectors is at the heart of many approaches to learning from graph data. Such vector representations, or embedd... |
2101.04635 | Thijs-Enagnon Nassi | Thijs E Nassi, Wolfgang Ganglberger, Haoqi Sun, Abigail A Bucklin,
Siddharth Biswal, Michel J A M van Putten, Robert J Thomas, M Brandon
Westover | Automated Respiratory Event Detection Using Deep Neural Networks | 11 pages, 6 figures, 6 tables, \c{opyright}2020 IEEE | null | null | null | cs.LG q-bio.QM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The gold standard to assess respiration during sleep is polysomnography; a
technique that is burdensome, expensive (both in analysis time and measurement
costs), and difficult to repeat. Automation of respiratory analysis can improve
test efficiency and enable accessible implementation opportunities worldwide.
Using ... | [
{
"created": "Tue, 12 Jan 2021 17:43:17 GMT",
"version": "v1"
}
] | 2021-01-13 | [
[
"Nassi",
"Thijs E",
""
],
[
"Ganglberger",
"Wolfgang",
""
],
[
"Sun",
"Haoqi",
""
],
[
"Bucklin",
"Abigail A",
""
],
[
"Biswal",
"Siddharth",
""
],
[
"van Putten",
"Michel J A M",
""
],
[
"Thomas",
"Robert J",
... | The gold standard to assess respiration during sleep is polysomnography; a technique that is burdensome, expensive (both in analysis time and measurement costs), and difficult to repeat. Automation of respiratory analysis can improve test efficiency and enable accessible implementation opportunities worldwide. Using 9,... |
2102.08461 | Walid Marweni | Walid Marweni | (-k)-critical trees and k-minimal trees | 14 pages and 5 figures | null | null | null | cs.DM math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In a graph $G=(V,E)$, a module is a vertex subset $M$ of $V$ such that every
vertex outside $M$ is adjacent to all or none of $M$. For example, $\emptyset$,
$\{x\}$ $(x\in V )$ and $V$ are modules of $G$, called trivial modules. A
graph, all the modules of which are trivial, is prime; otherwise, it is
decomposable. A... | [
{
"created": "Tue, 16 Feb 2021 21:54:36 GMT",
"version": "v1"
},
{
"created": "Wed, 24 Mar 2021 11:48:17 GMT",
"version": "v2"
}
] | 2021-03-25 | [
[
"Marweni",
"Walid",
""
]
] | In a graph $G=(V,E)$, a module is a vertex subset $M$ of $V$ such that every vertex outside $M$ is adjacent to all or none of $M$. For example, $\emptyset$, $\{x\}$ $(x\in V )$ and $V$ are modules of $G$, called trivial modules. A graph, all the modules of which are trivial, is prime; otherwise, it is decomposable. A v... |
2311.06361 | Sudeep Pasricha | Danish Gufran, Sudeep Pasricha | CALLOC: Curriculum Adversarial Learning for Secure and Robust Indoor
Localization | null | null | null | null | cs.LG cs.CY | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Indoor localization has become increasingly vital for many applications from
tracking assets to delivering personalized services. Yet, achieving pinpoint
accuracy remains a challenge due to variations across indoor environments and
devices used to assist with localization. Another emerging challenge is
adversarial at... | [
{
"created": "Fri, 10 Nov 2023 19:26:31 GMT",
"version": "v1"
}
] | 2023-11-14 | [
[
"Gufran",
"Danish",
""
],
[
"Pasricha",
"Sudeep",
""
]
] | Indoor localization has become increasingly vital for many applications from tracking assets to delivering personalized services. Yet, achieving pinpoint accuracy remains a challenge due to variations across indoor environments and devices used to assist with localization. Another emerging challenge is adversarial atta... |
2203.15323 | Romina Etezadi | Moein Salimi Sartakhti, Romina Etezadi, Mehrnoush Shamsfard | Improving Persian Relation Extraction Models by Data Augmentation | 5 pages, 6 images | Proceedings of The Second International Workshop on NLP Solutions
for Under Resourced Languages (NSURL 2021) co-located with ICNLSP 2021, pages
32-37, Trento, Italy. Association for Computational Linguistics | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Relation extraction that is the task of predicting semantic relation type
between entities in a sentence or document is an important task in natural
language processing. Although there are many researches and datasets for
English, Persian suffers from sufficient researches and comprehensive datasets.
The only availab... | [
{
"created": "Tue, 29 Mar 2022 08:08:47 GMT",
"version": "v1"
}
] | 2022-03-30 | [
[
"Sartakhti",
"Moein Salimi",
""
],
[
"Etezadi",
"Romina",
""
],
[
"Shamsfard",
"Mehrnoush",
""
]
] | Relation extraction that is the task of predicting semantic relation type between entities in a sentence or document is an important task in natural language processing. Although there are many researches and datasets for English, Persian suffers from sufficient researches and comprehensive datasets. The only available... |
2105.11726 | Michael Schmitt | Michael Schmitt, Seyed Ali Ahmadi, Ronny H\"ansch | There is no data like more data -- current status of machine learning
datasets in remote sensing | accepted for the Proceedings of IEEE International Geoscience and
Remote Sensing Symposium (IGARSS) 2021 | null | null | null | cs.LG eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Annotated datasets have become one of the most crucial preconditions for the
development and evaluation of machine learning-based methods designed for the
automated interpretation of remote sensing data. In this paper, we review the
historic development of such datasets, discuss their features based on a few
selected... | [
{
"created": "Tue, 25 May 2021 07:49:21 GMT",
"version": "v1"
},
{
"created": "Thu, 17 Jun 2021 11:49:59 GMT",
"version": "v2"
}
] | 2021-06-18 | [
[
"Schmitt",
"Michael",
""
],
[
"Ahmadi",
"Seyed Ali",
""
],
[
"Hänsch",
"Ronny",
""
]
] | Annotated datasets have become one of the most crucial preconditions for the development and evaluation of machine learning-based methods designed for the automated interpretation of remote sensing data. In this paper, we review the historic development of such datasets, discuss their features based on a few selected e... |
1006.2993 | EPTCS | Luca Cardelli (Microsoft Research) | Two-Domain DNA Strand Displacement | null | EPTCS 26, 2010, pp. 47-61 | 10.4204/EPTCS.26.5 | null | cs.LO cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We investigate the computing power of a restricted class of DNA strand
displacement structures: those that are made of double strands with nicks
(interruptions) in the top strand. To preserve this structural invariant, we
impose restrictions on the single strands they interact with: we consider only
two-domain single... | [
{
"created": "Tue, 8 Jun 2010 01:16:25 GMT",
"version": "v1"
}
] | 2010-06-16 | [
[
"Cardelli",
"Luca",
"",
"Microsoft Research"
]
] | We investigate the computing power of a restricted class of DNA strand displacement structures: those that are made of double strands with nicks (interruptions) in the top strand. To preserve this structural invariant, we impose restrictions on the single strands they interact with: we consider only two-domain single s... |
2107.11628 | Brian Yan | Brian Yan, Siddharth Dalmia, David R. Mortensen, Florian Metze, Shinji
Watanabe | Differentiable Allophone Graphs for Language-Universal Speech
Recognition | INTERSPEECH 2021. Contains additional studies on phone recognition
for unseen languages | null | null | null | cs.CL cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Building language-universal speech recognition systems entails producing
phonological units of spoken sound that can be shared across languages. While
speech annotations at the language-specific phoneme or surface levels are
readily available, annotations at a universal phone level are relatively rare
and difficult t... | [
{
"created": "Sat, 24 Jul 2021 15:09:32 GMT",
"version": "v1"
}
] | 2021-07-27 | [
[
"Yan",
"Brian",
""
],
[
"Dalmia",
"Siddharth",
""
],
[
"Mortensen",
"David R.",
""
],
[
"Metze",
"Florian",
""
],
[
"Watanabe",
"Shinji",
""
]
] | Building language-universal speech recognition systems entails producing phonological units of spoken sound that can be shared across languages. While speech annotations at the language-specific phoneme or surface levels are readily available, annotations at a universal phone level are relatively rare and difficult to ... |
0809.0874 | Fionn Murtagh | Fionn Murtagh | Between the Information Economy and Student Recruitment: Present
Conjuncture and Future Prospects | 18 pages, 4 figures | CEPIS UPGRADE, vol. IX, no. 5, pp. 56-64, Oct. 2008 | null | null | cs.CY cs.GL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In university programs and curricula, in general we react to the need to meet
market needs. We respond to market stimulus, or at least try to do so. Consider
now an inverted view. Consider our data and perspectives in university programs
as reflecting and indeed presaging economic trends. In this article I pursue
thi... | [
{
"created": "Thu, 4 Sep 2008 18:17:05 GMT",
"version": "v1"
}
] | 2008-12-21 | [
[
"Murtagh",
"Fionn",
""
]
] | In university programs and curricula, in general we react to the need to meet market needs. We respond to market stimulus, or at least try to do so. Consider now an inverted view. Consider our data and perspectives in university programs as reflecting and indeed presaging economic trends. In this article I pursue this ... |
2012.01281 | Matias Valdenegro-Toro | Matthias Rosynski and Frank Kirchner and Matias Valdenegro-Toro | Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning? | 8 pages, with appendix, 30 pages in total | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep Reinforcement Learning (DRL) connects the classic Reinforcement Learning
algorithms with Deep Neural Networks. A problem in DRL is that CNNs are
black-boxes and it is hard to understand the decision-making process of agents.
In order to be able to use RL agents in highly dangerous environments for
humans and mac... | [
{
"created": "Wed, 2 Dec 2020 15:38:36 GMT",
"version": "v1"
}
] | 2020-12-03 | [
[
"Rosynski",
"Matthias",
""
],
[
"Kirchner",
"Frank",
""
],
[
"Valdenegro-Toro",
"Matias",
""
]
] | Deep Reinforcement Learning (DRL) connects the classic Reinforcement Learning algorithms with Deep Neural Networks. A problem in DRL is that CNNs are black-boxes and it is hard to understand the decision-making process of agents. In order to be able to use RL agents in highly dangerous environments for humans and machi... |
2101.07905 | Ryota Ikedo | Ryota Ikedo, Kazuhiro Hotta | Feature Sharing Cooperative Network for Semantic Segmentation | computer vision and pattern recognition | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, deep neural networks have achieved high ac-curacy in the
field of image recognition. By inspired from human learning method, we propose
a semantic segmentation method using cooperative learning which shares the
information resembling a group learning. We use two same networks and paths for
sending fe... | [
{
"created": "Wed, 20 Jan 2021 00:22:00 GMT",
"version": "v1"
}
] | 2021-01-21 | [
[
"Ikedo",
"Ryota",
""
],
[
"Hotta",
"Kazuhiro",
""
]
] | In recent years, deep neural networks have achieved high ac-curacy in the field of image recognition. By inspired from human learning method, we propose a semantic segmentation method using cooperative learning which shares the information resembling a group learning. We use two same networks and paths for sending feat... |
1411.2276 | Matej Hoffmann | Matej Hoffmann and Vincent C. M\"uller | Trade-Offs in Exploiting Body Morphology for Control: from Simple Bodies
and Model-Based Control to Complex Bodies with Model-Free Distributed Control
Schemes | null | Helmut Hauser; Rudolf M. F\"uchslin & Rolf Pfeifer, ed., 'E-book
on Opinions and Outlooks on Morphological Computation', 2014, pp. 185--194 | null | null | cs.RO cs.NE cs.SY | http://creativecommons.org/licenses/by-nc-sa/3.0/ | Tailoring the design of robot bodies for control purposes is implicitly
performed by engineers, however, a methodology or set of tools is largely
absent and optimization of morphology (shape, material properties of robot
bodies, etc.) is lagging behind the development of controllers. This has become
even more promine... | [
{
"created": "Sun, 9 Nov 2014 20:11:42 GMT",
"version": "v1"
}
] | 2015-10-27 | [
[
"Hoffmann",
"Matej",
""
],
[
"Müller",
"Vincent C.",
""
]
] | Tailoring the design of robot bodies for control purposes is implicitly performed by engineers, however, a methodology or set of tools is largely absent and optimization of morphology (shape, material properties of robot bodies, etc.) is lagging behind the development of controllers. This has become even more prominent... |
2205.07124 | Bharath Kumar Bolla | Sabeesh Ethiraj, Bharath Kumar Bolla | Classification of Astronomical Bodies by Efficient Layer Fine-Tuning of
Deep Neural Networks | Accepted at 5th Conference on Information and Communication
Technology (CICT), 2021 | null | 10.1109/CICT53865.2020.9672430 | null | cs.CV cs.AI cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The SDSS-IV dataset contains information about various astronomical bodies
such as Galaxies, Stars, and Quasars captured by observatories. Inspired by our
work on deep multimodal learning, which utilized transfer learning to classify
the SDSS-IV dataset, we further extended our research in the fine tuning of
these ar... | [
{
"created": "Sat, 14 May 2022 20:08:19 GMT",
"version": "v1"
}
] | 2022-05-17 | [
[
"Ethiraj",
"Sabeesh",
""
],
[
"Bolla",
"Bharath Kumar",
""
]
] | The SDSS-IV dataset contains information about various astronomical bodies such as Galaxies, Stars, and Quasars captured by observatories. Inspired by our work on deep multimodal learning, which utilized transfer learning to classify the SDSS-IV dataset, we further extended our research in the fine tuning of these arch... |
2206.10096 | Xuxin Chen | Xuxin Chen, Ke Zhang, Neman Abdoli, Patrik W. Gilley, Ximin Wang, Hong
Liu, Bin Zheng, Yuchen Qiu | Transformers Improve Breast Cancer Diagnosis from Unregistered
Multi-View Mammograms | null | null | null | null | cs.CV cs.AI eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep convolutional neural networks (CNNs) have been widely used in various
medical imaging tasks. However, due to the intrinsic locality of convolution
operation, CNNs generally cannot model long-range dependencies well, which are
important for accurately identifying or mapping corresponding breast lesion
features co... | [
{
"created": "Tue, 21 Jun 2022 03:54:21 GMT",
"version": "v1"
}
] | 2022-06-22 | [
[
"Chen",
"Xuxin",
""
],
[
"Zhang",
"Ke",
""
],
[
"Abdoli",
"Neman",
""
],
[
"Gilley",
"Patrik W.",
""
],
[
"Wang",
"Ximin",
""
],
[
"Liu",
"Hong",
""
],
[
"Zheng",
"Bin",
""
],
[
"Qiu",
"Yuchen",... | Deep convolutional neural networks (CNNs) have been widely used in various medical imaging tasks. However, due to the intrinsic locality of convolution operation, CNNs generally cannot model long-range dependencies well, which are important for accurately identifying or mapping corresponding breast lesion features comp... |
1710.10451 | Taejun Kim | Taejun Kim, Jongpil Lee, Juhan Nam | Sample-level CNN Architectures for Music Auto-tagging Using Raw
Waveforms | Accepted for publication at ICASSP 2018 | null | null | null | cs.SD cs.LG cs.MM cs.NE eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent work has shown that the end-to-end approach using convolutional neural
network (CNN) is effective in various types of machine learning tasks. For
audio signals, the approach takes raw waveforms as input using an 1-D
convolution layer. In this paper, we improve the 1-D CNN architecture for music
auto-tagging by... | [
{
"created": "Sat, 28 Oct 2017 11:55:50 GMT",
"version": "v1"
},
{
"created": "Wed, 14 Feb 2018 04:39:50 GMT",
"version": "v2"
}
] | 2018-02-15 | [
[
"Kim",
"Taejun",
""
],
[
"Lee",
"Jongpil",
""
],
[
"Nam",
"Juhan",
""
]
] | Recent work has shown that the end-to-end approach using convolutional neural network (CNN) is effective in various types of machine learning tasks. For audio signals, the approach takes raw waveforms as input using an 1-D convolution layer. In this paper, we improve the 1-D CNN architecture for music auto-tagging by a... |
2304.00645 | Muhammad Fadhil Ginting | Muhammad Fadhil Ginting, Sung-Kyun Kim, Oriana Peltzer, Joshua Ott,
Sunggoo Jung, Mykel J. Kochenderfer, and Ali-akbar Agha-mohammadi | Safe and Efficient Navigation in Extreme Environments using Semantic
Belief Graphs | null | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | To achieve autonomy in unknown and unstructured environments, we propose a
method for semantic-based planning under perceptual uncertainty. This
capability is crucial for safe and efficient robot navigation in environment
with mobility-stressing elements that require terrain-specific locomotion
policies. We propose t... | [
{
"created": "Sun, 2 Apr 2023 22:25:35 GMT",
"version": "v1"
}
] | 2023-04-04 | [
[
"Ginting",
"Muhammad Fadhil",
""
],
[
"Kim",
"Sung-Kyun",
""
],
[
"Peltzer",
"Oriana",
""
],
[
"Ott",
"Joshua",
""
],
[
"Jung",
"Sunggoo",
""
],
[
"Kochenderfer",
"Mykel J.",
""
],
[
"Agha-mohammadi",
"Ali-akba... | To achieve autonomy in unknown and unstructured environments, we propose a method for semantic-based planning under perceptual uncertainty. This capability is crucial for safe and efficient robot navigation in environment with mobility-stressing elements that require terrain-specific locomotion policies. We propose the... |
2301.08920 | Antares Chen | Antares Chen, Lorenzo Orecchia, Erasmo Tani | Submodular Hypergraph Partitioning: Metric Relaxations and Fast
Algorithms via an Improved Cut-Matching Game | Comments and feedback welcome | null | null | null | cs.DS cs.DM | http://creativecommons.org/licenses/by/4.0/ | Despite there being significant work on developing spectral, and metric
embedding based approximation algorithms for hypergraph generalizations of
conductance, little is known regarding the approximability of hypergraph
partitioning objectives beyond this.
This work proposes algorithms for a general model of hyperg... | [
{
"created": "Sat, 21 Jan 2023 08:50:53 GMT",
"version": "v1"
},
{
"created": "Wed, 26 Jul 2023 08:40:33 GMT",
"version": "v2"
}
] | 2023-07-27 | [
[
"Chen",
"Antares",
""
],
[
"Orecchia",
"Lorenzo",
""
],
[
"Tani",
"Erasmo",
""
]
] | Despite there being significant work on developing spectral, and metric embedding based approximation algorithms for hypergraph generalizations of conductance, little is known regarding the approximability of hypergraph partitioning objectives beyond this. This work proposes algorithms for a general model of hypergraph... |
1506.01598 | Ghislain Fourny | Ghislain Fourny | decimalInfinite: All Decimals In Bits, No Loss, Same Order, Simple | Technical report, 9 pages | null | null | null | cs.MS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper introduces a binary encoding that supports arbitrarily large,
small and precise decimals. It completely preserves information and order. It
does not rely on any arbitrary use-case-based choice of calibration and is
readily implementable and usable, as is. Finally, it is also simple to explain
and understan... | [
{
"created": "Thu, 4 Jun 2015 14:09:47 GMT",
"version": "v1"
},
{
"created": "Wed, 17 Jun 2015 12:01:04 GMT",
"version": "v2"
}
] | 2015-06-18 | [
[
"Fourny",
"Ghislain",
""
]
] | This paper introduces a binary encoding that supports arbitrarily large, small and precise decimals. It completely preserves information and order. It does not rely on any arbitrary use-case-based choice of calibration and is readily implementable and usable, as is. Finally, it is also simple to explain and understand. |
0909.0583 | R Doomun | Raheel Maqsood Hashmi, Arooj Mubashara Siddiqui, Memoona Jabeen,
Khurram S. Alimgeer, Shahid A. Khan | Computational Complexities and Breaches in Authentication Frameworks of
Broadband Wireless Access | 5 Pages IEEE format, International Journal of Computer Science and
Information Security, IJCSIS 2009, ISSN 1947 5500, Impact factor
0.423,http://sites.google.com/site/ijcsis/ | International Journal of Computer Science and Information
Security, IJCSIS, Vol. 4, No. 1 & 2, August 2009, USA | null | ISSn 1947 5500 | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Secure access of communication networks has become an increasingly important
area of consideration for the communication service providers of present day.
Broadband Wireless Access (BWA) networks are proving to be an efficient and
cost effective solution for the provisioning of high rate wireless traffic
links in sta... | [
{
"created": "Thu, 3 Sep 2009 07:56:44 GMT",
"version": "v1"
}
] | 2009-09-04 | [
[
"Hashmi",
"Raheel Maqsood",
""
],
[
"Siddiqui",
"Arooj Mubashara",
""
],
[
"Jabeen",
"Memoona",
""
],
[
"Alimgeer",
"Khurram S.",
""
],
[
"Khan",
"Shahid A.",
""
]
] | Secure access of communication networks has become an increasingly important area of consideration for the communication service providers of present day. Broadband Wireless Access (BWA) networks are proving to be an efficient and cost effective solution for the provisioning of high rate wireless traffic links in stati... |
2403.18771 | Yukyung Lee | Yukyung Lee, Joonghoon Kim, Jaehee Kim, Hyowon Cho, Pilsung Kang | CheckEval: Robust Evaluation Framework using Large Language Model via
Checklist | HEAL at CHI 2024 | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | We introduce CheckEval, a novel evaluation framework using Large Language
Models, addressing the challenges of ambiguity and inconsistency in current
evaluation methods. CheckEval addresses these challenges by dividing evaluation
criteria into detailed sub-aspects and constructing a checklist of Boolean
questions for... | [
{
"created": "Wed, 27 Mar 2024 17:20:39 GMT",
"version": "v1"
}
] | 2024-03-28 | [
[
"Lee",
"Yukyung",
""
],
[
"Kim",
"Joonghoon",
""
],
[
"Kim",
"Jaehee",
""
],
[
"Cho",
"Hyowon",
""
],
[
"Kang",
"Pilsung",
""
]
] | We introduce CheckEval, a novel evaluation framework using Large Language Models, addressing the challenges of ambiguity and inconsistency in current evaluation methods. CheckEval addresses these challenges by dividing evaluation criteria into detailed sub-aspects and constructing a checklist of Boolean questions for e... |
2010.12786 | Huda Khayrallah | Huda Khayrallah, Jo\~ao Sedoc | Measuring the `I don't know' Problem through the Lens of Gricean
Quantity | to appear at NAACL 2021 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the intrinsic evaluation of neural generative dialog models
through the lens of Grice's Maxims of Conversation (1975). Based on the maxim
of Quantity (be informative), we propose Relative Utterance Quantity (RUQ) to
diagnose the `I don't know' problem, in which a dialog system produces generic
responses. ... | [
{
"created": "Sat, 24 Oct 2020 05:16:36 GMT",
"version": "v1"
},
{
"created": "Wed, 21 Apr 2021 18:55:37 GMT",
"version": "v2"
}
] | 2021-04-23 | [
[
"Khayrallah",
"Huda",
""
],
[
"Sedoc",
"João",
""
]
] | We consider the intrinsic evaluation of neural generative dialog models through the lens of Grice's Maxims of Conversation (1975). Based on the maxim of Quantity (be informative), we propose Relative Utterance Quantity (RUQ) to diagnose the `I don't know' problem, in which a dialog system produces generic responses. Th... |
2009.10606 | Yue Zhao | Yue Zhao, Ryan A. Rossi, Leman Akoglu | Automating Outlier Detection via Meta-Learning | 21 pages. The code is available at http://github.com/yzhao062/MetaOD | null | null | null | cs.LG cs.IR stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given an unsupervised outlier detection (OD) task on a new dataset, how can
we automatically select a good outlier detection method and its
hyperparameter(s) (collectively called a model)? Thus far, model selection for
OD has been a "black art"; as any model evaluation is infeasible due to the
lack of (i) hold-out da... | [
{
"created": "Tue, 22 Sep 2020 15:14:45 GMT",
"version": "v1"
},
{
"created": "Wed, 17 Mar 2021 14:44:35 GMT",
"version": "v2"
}
] | 2021-03-18 | [
[
"Zhao",
"Yue",
""
],
[
"Rossi",
"Ryan A.",
""
],
[
"Akoglu",
"Leman",
""
]
] | Given an unsupervised outlier detection (OD) task on a new dataset, how can we automatically select a good outlier detection method and its hyperparameter(s) (collectively called a model)? Thus far, model selection for OD has been a "black art"; as any model evaluation is infeasible due to the lack of (i) hold-out data... |
1909.10811 | Kieran Greer Dr | Kieran Greer | Image Recognition using Region Creep | null | 10th International Conference on Advanced Technologies (ICAT'22),
pp. 43 - 46, November 25-27, 2022, Van, Turkey. Virtual Conference | null | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper describes a new type of auto-associative image classifier that
uses a shallow architecture with a very quick learning phase. The image is
parsed into smaller areas and each area is saved directly for a region, along
with the related output category. When a new image is presented, a direct match
with each r... | [
{
"created": "Tue, 24 Sep 2019 10:59:44 GMT",
"version": "v1"
},
{
"created": "Thu, 20 Oct 2022 12:37:36 GMT",
"version": "v2"
},
{
"created": "Wed, 14 Dec 2022 10:07:24 GMT",
"version": "v3"
}
] | 2022-12-21 | [
[
"Greer",
"Kieran",
""
]
] | This paper describes a new type of auto-associative image classifier that uses a shallow architecture with a very quick learning phase. The image is parsed into smaller areas and each area is saved directly for a region, along with the related output category. When a new image is presented, a direct match with each reg... |
1804.07651 | Alexander Kott | Alexander Kott, Benjamin Blakely, Diane Henshel, Gregory Wehner, James
Rowell, Nathaniel Evans, Luis Mu\~noz-Gonz\'alez, Nandi Leslie, Donald W
French, Donald Woodard, Kerry Krutilla, Amanda Joyce, Igor Linkov, Carmen
Mas-Machuca, Janos Sztipanovits, Hugh Harney, Dennis Kergl, Perri Nejib,
Edward Yakabovicz, St... | Approaches to Enhancing Cyber Resilience: Report of the North Atlantic
Treaty Organization (NATO) Workshop IST-153 | null | null | null | ARL-SR-0396 | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This report summarizes the discussions and findings of the 2017 North
Atlantic Treaty Organization (NATO) Workshop, IST-153, on Cyber Resilience,
held in Munich, Germany, on 23-25 October 2017, at the University of
Bundeswehr. Despite continual progress in managing risks in the cyber domain,
anticipation and preventi... | [
{
"created": "Fri, 20 Apr 2018 14:49:18 GMT",
"version": "v1"
}
] | 2018-04-23 | [
[
"Kott",
"Alexander",
""
],
[
"Blakely",
"Benjamin",
""
],
[
"Henshel",
"Diane",
""
],
[
"Wehner",
"Gregory",
""
],
[
"Rowell",
"James",
""
],
[
"Evans",
"Nathaniel",
""
],
[
"Muñoz-González",
"Luis",
""
]... | This report summarizes the discussions and findings of the 2017 North Atlantic Treaty Organization (NATO) Workshop, IST-153, on Cyber Resilience, held in Munich, Germany, on 23-25 October 2017, at the University of Bundeswehr. Despite continual progress in managing risks in the cyber domain, anticipation and prevention... |
2209.05208 | Victor-Alexandru Darvariu | Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi | Graph Neural Modeling of Network Flows | null | null | null | null | cs.LG cs.AI cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Network flow problems, which involve distributing traffic such that the
underlying infrastructure is used effectively, are ubiquitous in transportation
and logistics. Among them, the general Multi-Commodity Network Flow (MCNF)
problem concerns the distribution of multiple flows of different sizes between
several sour... | [
{
"created": "Mon, 12 Sep 2022 12:45:45 GMT",
"version": "v1"
},
{
"created": "Fri, 12 May 2023 11:49:46 GMT",
"version": "v2"
},
{
"created": "Mon, 18 Mar 2024 09:28:39 GMT",
"version": "v3"
}
] | 2024-03-19 | [
[
"Darvariu",
"Victor-Alexandru",
""
],
[
"Hailes",
"Stephen",
""
],
[
"Musolesi",
"Mirco",
""
]
] | Network flow problems, which involve distributing traffic such that the underlying infrastructure is used effectively, are ubiquitous in transportation and logistics. Among them, the general Multi-Commodity Network Flow (MCNF) problem concerns the distribution of multiple flows of different sizes between several source... |
2205.14630 | Jassem Abbasi Mr | Jassem Abbasi (1), P{\aa}l {\O}steb{\o} Andersen (1) ((1) University
of Stavanger) | Physical Activation Functions (PAFs): An Approach for More Efficient
Induction of Physics into Physics-Informed Neural Networks (PINNs) | 26 pages, 9 figures | null | 10.1016/j.neucom.2024.128352 | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | In recent years, the gap between Deep Learning (DL) methods and analytical or
numerical approaches in scientific computing is tried to be filled by the
evolution of Physics-Informed Neural Networks (PINNs). However, still, there
are many complications in the training of PINNs and optimal interleaving of
physical mode... | [
{
"created": "Sun, 29 May 2022 11:26:46 GMT",
"version": "v1"
},
{
"created": "Sat, 17 Jun 2023 07:42:30 GMT",
"version": "v2"
}
] | 2024-08-16 | [
[
"Abbasi",
"Jassem",
""
],
[
"Andersen",
"Pål Østebø",
""
]
] | In recent years, the gap between Deep Learning (DL) methods and analytical or numerical approaches in scientific computing is tried to be filled by the evolution of Physics-Informed Neural Networks (PINNs). However, still, there are many complications in the training of PINNs and optimal interleaving of physical models... |
2011.12859 | Elena Sizikova | Omkar Kumbhar, Elena Sizikova, Najib Majaj, Denis G. Pelli | Anytime Prediction as a Model of Human Reaction Time | 7 pages, 7 figures | null | null | null | cs.AI cs.CV q-bio.NC | http://creativecommons.org/licenses/by/4.0/ | Neural networks today often recognize objects as well as people do, and thus
might serve as models of the human recognition process. However, most such
networks provide their answer after a fixed computational effort, whereas human
reaction time varies, e.g. from 0.2 to 10 s, depending on the properties of
stimulus a... | [
{
"created": "Wed, 25 Nov 2020 16:30:52 GMT",
"version": "v1"
}
] | 2020-11-26 | [
[
"Kumbhar",
"Omkar",
""
],
[
"Sizikova",
"Elena",
""
],
[
"Majaj",
"Najib",
""
],
[
"Pelli",
"Denis G.",
""
]
] | Neural networks today often recognize objects as well as people do, and thus might serve as models of the human recognition process. However, most such networks provide their answer after a fixed computational effort, whereas human reaction time varies, e.g. from 0.2 to 10 s, depending on the properties of stimulus and... |
2312.04926 | Bogdan Musat Ph.D. | Bogdan Musat, Razvan Andonie | Accelerating Convolutional Neural Network Pruning via Spatial Aura
Entropy | null | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | In recent years, pruning has emerged as a popular technique to reduce the
computational complexity and memory footprint of Convolutional Neural Network
(CNN) models. Mutual Information (MI) has been widely used as a criterion for
identifying unimportant filters to prune. However, existing methods for MI
computation s... | [
{
"created": "Fri, 8 Dec 2023 09:43:49 GMT",
"version": "v1"
}
] | 2023-12-11 | [
[
"Musat",
"Bogdan",
""
],
[
"Andonie",
"Razvan",
""
]
] | In recent years, pruning has emerged as a popular technique to reduce the computational complexity and memory footprint of Convolutional Neural Network (CNN) models. Mutual Information (MI) has been widely used as a criterion for identifying unimportant filters to prune. However, existing methods for MI computation suf... |
2104.05224 | Jakob Nyberg | Jakob Nyberg, Ramesh Manuvinakurike, Maike Paetzel-Pr\"usmann | Estimating Subjective Crowd-Evaluations as an Additional Objective to
Improve Natural Language Generation | To appear at Workshop on Human Evaluation of NLP Systems (EACL 2021) | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Human ratings are one of the most prevalent methods to evaluate the
performance of natural language processing algorithms. Similarly, it is common
to measure the quality of sentences generated by a natural language generation
model using human raters. In this paper, we argue for exploring the use of
subjective evalua... | [
{
"created": "Mon, 12 Apr 2021 06:33:16 GMT",
"version": "v1"
}
] | 2021-04-13 | [
[
"Nyberg",
"Jakob",
""
],
[
"Manuvinakurike",
"Ramesh",
""
],
[
"Paetzel-Prüsmann",
"Maike",
""
]
] | Human ratings are one of the most prevalent methods to evaluate the performance of natural language processing algorithms. Similarly, it is common to measure the quality of sentences generated by a natural language generation model using human raters. In this paper, we argue for exploring the use of subjective evaluati... |
2306.16048 | Zhenlin Xu | Zhenlin Xu, Yi Zhu, Tiffany Deng, Abhay Mittal, Yanbei Chen, Manchen
Wang, Paolo Favaro, Joseph Tighe, Davide Modolo | Benchmarking Zero-Shot Recognition with Vision-Language Models:
Challenges on Granularity and Specificity | CVPR2024 MMFM workshop | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents novel benchmarks for evaluating vision-language models
(VLMs) in zero-shot recognition, focusing on granularity and specificity.
Although VLMs excel in tasks like image captioning, they face challenges in
open-world settings. Our benchmarks test VLMs' consistency in understanding
concepts across s... | [
{
"created": "Wed, 28 Jun 2023 09:29:06 GMT",
"version": "v1"
},
{
"created": "Mon, 29 Jan 2024 10:45:58 GMT",
"version": "v2"
},
{
"created": "Tue, 18 Jun 2024 07:12:47 GMT",
"version": "v3"
}
] | 2024-06-19 | [
[
"Xu",
"Zhenlin",
""
],
[
"Zhu",
"Yi",
""
],
[
"Deng",
"Tiffany",
""
],
[
"Mittal",
"Abhay",
""
],
[
"Chen",
"Yanbei",
""
],
[
"Wang",
"Manchen",
""
],
[
"Favaro",
"Paolo",
""
],
[
"Tighe",
"Jose... | This paper presents novel benchmarks for evaluating vision-language models (VLMs) in zero-shot recognition, focusing on granularity and specificity. Although VLMs excel in tasks like image captioning, they face challenges in open-world settings. Our benchmarks test VLMs' consistency in understanding concepts across sem... |
2406.02613 | Adel Nabli | Adel Nabli (MLIA, Mila), Louis Fournier (MLIA), Pierre Erbacher
(MLIA), Louis Serrano (MLIA), Eugene Belilovsky (Mila), Edouard Oyallon | ACCO: Accumulate while you Communicate, Hiding Communications in
Distributed LLM Training | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Training Large Language Models (LLMs) relies heavily on distributed
implementations, employing multiple GPUs to compute stochastic gradients on
model replicas in parallel. However, synchronizing gradients in data parallel
settings induces a communication overhead increasing with the number of
distributed workers, whi... | [
{
"created": "Mon, 3 Jun 2024 08:23:45 GMT",
"version": "v1"
}
] | 2024-06-06 | [
[
"Nabli",
"Adel",
"",
"MLIA, Mila"
],
[
"Fournier",
"Louis",
"",
"MLIA"
],
[
"Erbacher",
"Pierre",
"",
"MLIA"
],
[
"Serrano",
"Louis",
"",
"MLIA"
],
[
"Belilovsky",
"Eugene",
"",
"Mila"
],
[
"Oyallon",
"Edou... | Training Large Language Models (LLMs) relies heavily on distributed implementations, employing multiple GPUs to compute stochastic gradients on model replicas in parallel. However, synchronizing gradients in data parallel settings induces a communication overhead increasing with the number of distributed workers, which... |
1702.08501 | Sadra Sadraddini | Sadra Sadraddini, Calin Belta | Formal Synthesis of Control Strategies for Positive Monotone Systems | To appear in IEEE Transactions on Automatic Control (TAC) (2018), 16
pages, double column | null | 10.1109/TAC.2018.2814631 | null | cs.SY math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We design controllers from formal specifications for positive discrete-time
monotone systems that are subject to bounded disturbances. Such systems are
widely used to model the dynamics of transportation and biological networks.
The specifications are described using signal temporal logic (STL), which can
express a b... | [
{
"created": "Mon, 27 Feb 2017 20:03:35 GMT",
"version": "v1"
},
{
"created": "Sun, 18 Mar 2018 23:11:10 GMT",
"version": "v2"
}
] | 2018-03-20 | [
[
"Sadraddini",
"Sadra",
""
],
[
"Belta",
"Calin",
""
]
] | We design controllers from formal specifications for positive discrete-time monotone systems that are subject to bounded disturbances. Such systems are widely used to model the dynamics of transportation and biological networks. The specifications are described using signal temporal logic (STL), which can express a bro... |
1206.4606 | Chao Liu | Chao Liu (Tencent Inc.), Yi-Min Wang (Microsoft Research) | TrueLabel + Confusions: A Spectrum of Probabilistic Models in Analyzing
Multiple Ratings | ICML2012 | null | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper revisits the problem of analyzing multiple ratings given by
different judges. Different from previous work that focuses on distilling the
true labels from noisy crowdsourcing ratings, we emphasize gaining diagnostic
insights into our in-house well-trained judges. We generalize the well-known
DawidSkene mod... | [
{
"created": "Mon, 18 Jun 2012 14:43:42 GMT",
"version": "v1"
}
] | 2012-06-25 | [
[
"Liu",
"Chao",
"",
"Tencent Inc."
],
[
"Wang",
"Yi-Min",
"",
"Microsoft Research"
]
] | This paper revisits the problem of analyzing multiple ratings given by different judges. Different from previous work that focuses on distilling the true labels from noisy crowdsourcing ratings, we emphasize gaining diagnostic insights into our in-house well-trained judges. We generalize the well-known DawidSkene model... |
2405.01582 | Vasu Sharma | Vasu Sharma, Karthik Padthe, Newsha Ardalani, Kushal Tirumala, Russell
Howes, Hu Xu, Po-Yao Huang, Shang-Wen Li, Armen Aghajanyan, Gargi Ghosh, Luke
Zettlemoyer | Text Quality-Based Pruning for Efficient Training of Language Models | null | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | In recent times training Language Models (LMs) have relied on computationally
heavy training over massive datasets which makes this training process
extremely laborious. In this paper we propose a novel method for numerically
evaluating text quality in large unlabelled NLP datasets in a model agnostic
manner to assig... | [
{
"created": "Fri, 26 Apr 2024 18:01:25 GMT",
"version": "v1"
},
{
"created": "Thu, 9 May 2024 00:39:28 GMT",
"version": "v2"
},
{
"created": "Fri, 10 May 2024 23:35:53 GMT",
"version": "v3"
}
] | 2024-05-14 | [
[
"Sharma",
"Vasu",
""
],
[
"Padthe",
"Karthik",
""
],
[
"Ardalani",
"Newsha",
""
],
[
"Tirumala",
"Kushal",
""
],
[
"Howes",
"Russell",
""
],
[
"Xu",
"Hu",
""
],
[
"Huang",
"Po-Yao",
""
],
[
"Li",
... | In recent times training Language Models (LMs) have relied on computationally heavy training over massive datasets which makes this training process extremely laborious. In this paper we propose a novel method for numerically evaluating text quality in large unlabelled NLP datasets in a model agnostic manner to assign ... |
1804.10134 | Lucas Beyer | Stefan Breuers, Lucas Beyer, Umer Rafi, Bastian Leibe | Detection-Tracking for Efficient Person Analysis: The DetTA Pipeline | Code available at: https://github.com/sbreuers/detta | null | null | null | cs.RO cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the past decade many robots were deployed in the wild, and people
detection and tracking is an important component of such deployments. On top of
that, one often needs to run modules which analyze persons and extract higher
level attributes such as age and gender, or dynamic information like gaze and
pose. The lat... | [
{
"created": "Thu, 26 Apr 2018 16:04:30 GMT",
"version": "v1"
},
{
"created": "Sat, 28 Jul 2018 10:33:47 GMT",
"version": "v2"
}
] | 2018-07-31 | [
[
"Breuers",
"Stefan",
""
],
[
"Beyer",
"Lucas",
""
],
[
"Rafi",
"Umer",
""
],
[
"Leibe",
"Bastian",
""
]
] | In the past decade many robots were deployed in the wild, and people detection and tracking is an important component of such deployments. On top of that, one often needs to run modules which analyze persons and extract higher level attributes such as age and gender, or dynamic information like gaze and pose. The latte... |
1411.3089 | Amal Saha | Amal Saha, Sugata Sanyal | Application Layer Intrusion Detection with Combination of Explicit-Rule-
Based and Machine Learning Algorithms and Deployment in Cyber- Defence
Program | null | null | null | null | cs.CR cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | There have been numerous works on network intrusion detection and prevention
systems, but work on application layer intrusion detection and prevention is
rare and not very mature. Intrusion detection and prevention at both network
and application layers are important for cyber-security and enterprise system
security.... | [
{
"created": "Wed, 12 Nov 2014 07:12:06 GMT",
"version": "v1"
}
] | 2014-11-13 | [
[
"Saha",
"Amal",
""
],
[
"Sanyal",
"Sugata",
""
]
] | There have been numerous works on network intrusion detection and prevention systems, but work on application layer intrusion detection and prevention is rare and not very mature. Intrusion detection and prevention at both network and application layers are important for cyber-security and enterprise system security. S... |
2104.00885 | Yousong Zhu | Tong Wang, Yousong Zhu, Chaoyang Zhao, Wei Zeng, Jinqiao Wang and Ming
Tang | Adaptive Class Suppression Loss for Long-Tail Object Detection | CVPR2021 camera ready version | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | To address the problem of long-tail distribution for the large vocabulary
object detection task, existing methods usually divide the whole categories
into several groups and treat each group with different strategies. These
methods bring the following two problems. One is the training inconsistency
between adjacent c... | [
{
"created": "Fri, 2 Apr 2021 05:12:31 GMT",
"version": "v1"
}
] | 2021-04-05 | [
[
"Wang",
"Tong",
""
],
[
"Zhu",
"Yousong",
""
],
[
"Zhao",
"Chaoyang",
""
],
[
"Zeng",
"Wei",
""
],
[
"Wang",
"Jinqiao",
""
],
[
"Tang",
"Ming",
""
]
] | To address the problem of long-tail distribution for the large vocabulary object detection task, existing methods usually divide the whole categories into several groups and treat each group with different strategies. These methods bring the following two problems. One is the training inconsistency between adjacent cat... |
2007.03492 | Nicolas Grelier | Nicolas Grelier | Computing a maximum clique in geometric superclasses of disk graphs | null | null | null | null | cs.CG | http://creativecommons.org/licenses/by/4.0/ | In the 90's Clark, Colbourn and Johnson wrote a seminal paper where they
proved that maximum clique can be solved in polynomial time in unit disk
graphs. Since then, the complexity of maximum clique in intersection graphs of
d-dimensional (unit) balls has been investigated. For ball graphs, the problem
is NP-hard, as... | [
{
"created": "Tue, 7 Jul 2020 14:27:34 GMT",
"version": "v1"
},
{
"created": "Tue, 8 Dec 2020 11:23:17 GMT",
"version": "v2"
},
{
"created": "Mon, 26 Jul 2021 08:05:53 GMT",
"version": "v3"
}
] | 2021-07-27 | [
[
"Grelier",
"Nicolas",
""
]
] | In the 90's Clark, Colbourn and Johnson wrote a seminal paper where they proved that maximum clique can be solved in polynomial time in unit disk graphs. Since then, the complexity of maximum clique in intersection graphs of d-dimensional (unit) balls has been investigated. For ball graphs, the problem is NP-hard, as s... |
2211.09257 | Richard Soref | Richard Soref, Dusan Gostimirovic | An Integrated Optical Circuit Architecture for Inverse-Designed Silicon
Photonic Components | 8 pages, 14 figures | null | null | null | cs.ET physics.optics | http://creativecommons.org/licenses/by-nc-nd/4.0/ | In this work, we demonstrate a compact toolkit of inverse-designed
topologically optimized silicon-photonic devices that are arranged in a
plug-and-play fashion to realize many different photonic integrated circuits,
both passive and active, each with a small footprint. The silicon-on-insulator
1550-nm toolkit contai... | [
{
"created": "Wed, 16 Nov 2022 23:07:23 GMT",
"version": "v1"
}
] | 2022-11-18 | [
[
"Soref",
"Richard",
""
],
[
"Gostimirovic",
"Dusan",
""
]
] | In this work, we demonstrate a compact toolkit of inverse-designed topologically optimized silicon-photonic devices that are arranged in a plug-and-play fashion to realize many different photonic integrated circuits, both passive and active, each with a small footprint. The silicon-on-insulator 1550-nm toolkit contains... |
0712.4159 | Gerard Briscoe Dr | G Briscoe | Creating a Digital Ecosystem: Service-Oriented Architectures with
Distributed Evolutionary Computing | This has been withdrawn by the author due to an error in using
presentation notes in submission | In JavaOne Conference, 2006, BOF-0759 | null | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We start with a discussion of the relevant literature, including Nature
Inspired Computing as a framework in which to understand this work, and the
process of biomimicry to be used in mimicking the necessary biological
processes to create Digital Ecosystems. We then consider the relevant
theoretical ecology in creati... | [
{
"created": "Wed, 26 Dec 2007 23:32:10 GMT",
"version": "v1"
},
{
"created": "Tue, 28 Oct 2008 08:56:59 GMT",
"version": "v2"
},
{
"created": "Mon, 5 Oct 2009 00:41:53 GMT",
"version": "v3"
},
{
"created": "Sat, 24 Nov 2012 01:18:27 GMT",
"version": "v4"
},
{
"cr... | 2012-11-28 | [
[
"Briscoe",
"G",
""
]
] | We start with a discussion of the relevant literature, including Nature Inspired Computing as a framework in which to understand this work, and the process of biomimicry to be used in mimicking the necessary biological processes to create Digital Ecosystems. We then consider the relevant theoretical ecology in creating... |
2203.03121 | Xiaogeng Liu | Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li, Leo Yu Zhang,
Hai Jin, Libing Wu | Protecting Facial Privacy: Generating Adversarial Identity Masks via
Style-robust Makeup Transfer | Accepted by CVPR2022. Code is available at
https://github.com/CGCL-codes/AMT-GAN | null | null | null | cs.CV cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While deep face recognition (FR) systems have shown amazing performance in
identification and verification, they also arouse privacy concerns for their
excessive surveillance on users, especially for public face images widely
spread on social networks. Recently, some studies adopt adversarial examples to
protect phot... | [
{
"created": "Mon, 7 Mar 2022 03:56:17 GMT",
"version": "v1"
},
{
"created": "Mon, 28 Mar 2022 07:37:55 GMT",
"version": "v2"
}
] | 2022-03-29 | [
[
"Hu",
"Shengshan",
""
],
[
"Liu",
"Xiaogeng",
""
],
[
"Zhang",
"Yechao",
""
],
[
"Li",
"Minghui",
""
],
[
"Zhang",
"Leo Yu",
""
],
[
"Jin",
"Hai",
""
],
[
"Wu",
"Libing",
""
]
] | While deep face recognition (FR) systems have shown amazing performance in identification and verification, they also arouse privacy concerns for their excessive surveillance on users, especially for public face images widely spread on social networks. Recently, some studies adopt adversarial examples to protect photos... |
1408.5738 | Mahmoud Abdelrahim M | Mahmoud Abdelrahim, Romain Postoyan, Jamal Daafouz and Dragan
Ne\v{s}i\'c | Stabilization of nonlinear systems using event-triggered output feedback
controllers | null | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The objective is to design output feedback event-triggered controllers to
stabilize a class of nonlinear systems. One of the main difficulties of the
problem is to ensure the existence of a minimum amount of time between two
consecutive transmissions, which is essential in practice. We solve this issue
by combining t... | [
{
"created": "Mon, 25 Aug 2014 12:51:57 GMT",
"version": "v1"
}
] | 2014-08-26 | [
[
"Abdelrahim",
"Mahmoud",
""
],
[
"Postoyan",
"Romain",
""
],
[
"Daafouz",
"Jamal",
""
],
[
"Nešić",
"Dragan",
""
]
] | The objective is to design output feedback event-triggered controllers to stabilize a class of nonlinear systems. One of the main difficulties of the problem is to ensure the existence of a minimum amount of time between two consecutive transmissions, which is essential in practice. We solve this issue by combining tec... |
1404.4171 | Ning Chen | Ning Chen, Jun Zhu, Jianfei Chen, Bo Zhang | Dropout Training for Support Vector Machines | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Dropout and other feature noising schemes have shown promising results in
controlling over-fitting by artificially corrupting the training data. Though
extensive theoretical and empirical studies have been performed for generalized
linear models, little work has been done for support vector machines (SVMs),
one of th... | [
{
"created": "Wed, 16 Apr 2014 08:54:01 GMT",
"version": "v1"
}
] | 2014-04-17 | [
[
"Chen",
"Ning",
""
],
[
"Zhu",
"Jun",
""
],
[
"Chen",
"Jianfei",
""
],
[
"Zhang",
"Bo",
""
]
] | Dropout and other feature noising schemes have shown promising results in controlling over-fitting by artificially corrupting the training data. Though extensive theoretical and empirical studies have been performed for generalized linear models, little work has been done for support vector machines (SVMs), one of the ... |
2003.07146 | Antonia Godoy-Lorite Dr. | Antonia Godoy-Lorite and Nick S. Jones | Inference and Influence of Large-Scale Social Networks Using Snapshot
Population Behaviour without Network Data | null | null | null | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Population behaviours, such as voting and vaccination, depend on social
networks. Social networks can differ depending on behaviour type and are
typically hidden. However, we do often have large-scale behavioural data,
albeit only snapshots taken at one timepoint. We present a method that jointly
infers large-scale n... | [
{
"created": "Mon, 16 Mar 2020 12:31:29 GMT",
"version": "v1"
},
{
"created": "Mon, 23 Mar 2020 10:48:02 GMT",
"version": "v2"
}
] | 2020-03-24 | [
[
"Godoy-Lorite",
"Antonia",
""
],
[
"Jones",
"Nick S.",
""
]
] | Population behaviours, such as voting and vaccination, depend on social networks. Social networks can differ depending on behaviour type and are typically hidden. However, we do often have large-scale behavioural data, albeit only snapshots taken at one timepoint. We present a method that jointly infers large-scale net... |
1709.01020 | Jens Grubert | Jens Grubert | Die Zukunft sehen: Die Chancen und Herausforderungen der Erweiterten und
Virtuellen Realit\"at f\"ur industrielle Anwendungen | in German | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Digitalization offers chances as well as risks for industrial companies. This
article describes how the area of Mixed Reality, with its manifestations
Augmented and Virtual Reality, can support industrial applications in the age
of digitalization. Starting from a historical perspective on Augmented and
Virtual Realit... | [
{
"created": "Mon, 4 Sep 2017 16:07:35 GMT",
"version": "v1"
}
] | 2017-09-05 | [
[
"Grubert",
"Jens",
""
]
] | Digitalization offers chances as well as risks for industrial companies. This article describes how the area of Mixed Reality, with its manifestations Augmented and Virtual Reality, can support industrial applications in the age of digitalization. Starting from a historical perspective on Augmented and Virtual Reality,... |
2210.11971 | Andrey A Popov | Andrey A Popov, Adrian Sandu | The Model Forest Ensemble Kalman Filter | null | null | null | null | cs.CE math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Traditional data assimilation uses information obtained from the propagation
of one physics-driven model and combines it with information derived from
real-world observations in order to obtain a better estimate of the truth of
some natural process. However, in many situations multiple simulation models
that describe... | [
{
"created": "Fri, 21 Oct 2022 13:56:32 GMT",
"version": "v1"
}
] | 2022-10-24 | [
[
"Popov",
"Andrey A",
""
],
[
"Sandu",
"Adrian",
""
]
] | Traditional data assimilation uses information obtained from the propagation of one physics-driven model and combines it with information derived from real-world observations in order to obtain a better estimate of the truth of some natural process. However, in many situations multiple simulation models that describe t... |
1808.01181 | Jakub Mare\v{c}ek | Jakub Marecek and Tigran Tchrakian | Robust Spectral Filtering and Anomaly Detection | null | null | null | null | cs.LG math.OC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider a setting, where the output of a linear dynamical system (LDS)
is, with an unknown but fixed probability, replaced by noise. There, we present
a robust method for the prediction of the outputs of the LDS and identification
of the samples of noise, and prove guarantees on its statistical performance.
One a... | [
{
"created": "Fri, 3 Aug 2018 13:25:39 GMT",
"version": "v1"
}
] | 2018-08-06 | [
[
"Marecek",
"Jakub",
""
],
[
"Tchrakian",
"Tigran",
""
]
] | We consider a setting, where the output of a linear dynamical system (LDS) is, with an unknown but fixed probability, replaced by noise. There, we present a robust method for the prediction of the outputs of the LDS and identification of the samples of noise, and prove guarantees on its statistical performance. One app... |
2312.07860 | Yoshiro Kitamura | Yoshiro Kitamura, Yuanzhong Li, Wataru Ito, Hiroshi Ishikawa | Data-Dependent Higher-Order Clique Selection for Artery-Vein
Segmentation by Energy Minimization | null | International Journal of Computer Vision 117, 142-158(2016) | 10.1007/s11263-015-0856-3 | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We propose a novel segmentation method based on energy minimization of
higher-order potentials. We introduce higher-order terms into the energy to
incorporate prior knowledge on the shape of the segments. The terms encourage
certain sets of pixels to be entirely in one segment or the other. The sets can
for instance ... | [
{
"created": "Wed, 13 Dec 2023 02:57:30 GMT",
"version": "v1"
}
] | 2023-12-14 | [
[
"Kitamura",
"Yoshiro",
""
],
[
"Li",
"Yuanzhong",
""
],
[
"Ito",
"Wataru",
""
],
[
"Ishikawa",
"Hiroshi",
""
]
] | We propose a novel segmentation method based on energy minimization of higher-order potentials. We introduce higher-order terms into the energy to incorporate prior knowledge on the shape of the segments. The terms encourage certain sets of pixels to be entirely in one segment or the other. The sets can for instance be... |
2211.01478 | Andrea Falc\'on-Cort\'es Ph.D. | Andr\'es Aldana, Andrea Falc\'on-Cort\'es and Hern\'an Larralde | A machine learning model to identify corruption in M\'exico's public
procurement contracts | 17 pages, 8 figures. On revision in Government Information Quarterly | null | null | null | cs.CY cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The costs and impacts of government corruption range from impairing a
country's economic growth to affecting its citizens' well-being and safety.
Public contracting between government dependencies and private sector
instances, referred to as public procurement, is a fertile land of opportunity
for corrupt practices, ... | [
{
"created": "Tue, 25 Oct 2022 01:22:41 GMT",
"version": "v1"
},
{
"created": "Wed, 14 Dec 2022 20:17:10 GMT",
"version": "v2"
}
] | 2022-12-16 | [
[
"Aldana",
"Andrés",
""
],
[
"Falcón-Cortés",
"Andrea",
""
],
[
"Larralde",
"Hernán",
""
]
] | The costs and impacts of government corruption range from impairing a country's economic growth to affecting its citizens' well-being and safety. Public contracting between government dependencies and private sector instances, referred to as public procurement, is a fertile land of opportunity for corrupt practices, ge... |
1708.08997 | Xiaoshui Huang | Xiaoshui Huang | Learning a 3D descriptor for cross-source point cloud registration from
synthetic data | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As the development of 3D sensors, registration of 3D data (e.g. point cloud)
coming from different kind of sensor is dispensable and shows great demanding.
However, point cloud registration between different sensors is challenging
because of the variant of density, missing data, different viewpoint, noise and
outlier... | [
{
"created": "Thu, 24 Aug 2017 22:38:02 GMT",
"version": "v1"
}
] | 2017-09-01 | [
[
"Huang",
"Xiaoshui",
""
]
] | As the development of 3D sensors, registration of 3D data (e.g. point cloud) coming from different kind of sensor is dispensable and shows great demanding. However, point cloud registration between different sensors is challenging because of the variant of density, missing data, different viewpoint, noise and outliers,... |
1911.00809 | Ruosong Wang | Zhiyuan Li, Ruosong Wang, Dingli Yu, Simon S. Du, Wei Hu, Ruslan
Salakhutdinov, Sanjeev Arora | Enhanced Convolutional Neural Tangent Kernels | null | null | null | null | cs.LG cs.CV cs.NE stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent research shows that for training with $\ell_2$ loss, convolutional
neural networks (CNNs) whose width (number of channels in convolutional layers)
goes to infinity correspond to regression with respect to the CNN Gaussian
Process kernel (CNN-GP) if only the last layer is trained, and correspond to
regression w... | [
{
"created": "Sun, 3 Nov 2019 02:24:39 GMT",
"version": "v1"
}
] | 2019-11-05 | [
[
"Li",
"Zhiyuan",
""
],
[
"Wang",
"Ruosong",
""
],
[
"Yu",
"Dingli",
""
],
[
"Du",
"Simon S.",
""
],
[
"Hu",
"Wei",
""
],
[
"Salakhutdinov",
"Ruslan",
""
],
[
"Arora",
"Sanjeev",
""
]
] | Recent research shows that for training with $\ell_2$ loss, convolutional neural networks (CNNs) whose width (number of channels in convolutional layers) goes to infinity correspond to regression with respect to the CNN Gaussian Process kernel (CNN-GP) if only the last layer is trained, and correspond to regression wit... |
1705.09987 | Luciano Panek | Luciano Panek, Nayene Michele Pai\~ao Panek | Symmetry Group of Ordered Hamming Block Space | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Let $P = (\{1,2,\ldots,n,\leq)$ be a poset that is an union of disjoint
chains of the same length and $V=\mathbb{F}_q^N$ be the space of $N$-tuples
over the finite field $\mathbb{F}_q$. Let $V_i = \mathbb{F}_q^{k_i}$, $1 \leq i
\leq n$, be a family of finite-dimensional linear spaces such that
$k_1+k_2+\ldots +k_n = ... | [
{
"created": "Sun, 28 May 2017 20:19:51 GMT",
"version": "v1"
}
] | 2017-05-30 | [
[
"Panek",
"Luciano",
""
],
[
"Panek",
"Nayene Michele Paião",
""
]
] | Let $P = (\{1,2,\ldots,n,\leq)$ be a poset that is an union of disjoint chains of the same length and $V=\mathbb{F}_q^N$ be the space of $N$-tuples over the finite field $\mathbb{F}_q$. Let $V_i = \mathbb{F}_q^{k_i}$, $1 \leq i \leq n$, be a family of finite-dimensional linear spaces such that $k_1+k_2+\ldots +k_n = N$... |
2211.04313 | Subarna Roy | Shubham, Avinash Arya, Subarna Roy, Sridhar Jonnala | An Ensemble-based approach for assigning text to correct Harmonized
system code | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Industries must follow government rules and regulations around the world to
classify products when assessing duties and taxes for international shipment.
Harmonized System (HS) is the most standardized numerical method of classifying
traded products among industry classification systems. A hierarchical ensemble
model... | [
{
"created": "Tue, 8 Nov 2022 15:32:36 GMT",
"version": "v1"
}
] | 2022-11-09 | [
[
"Shubham",
"",
""
],
[
"Arya",
"Avinash",
""
],
[
"Roy",
"Subarna",
""
],
[
"Jonnala",
"Sridhar",
""
]
] | Industries must follow government rules and regulations around the world to classify products when assessing duties and taxes for international shipment. Harmonized System (HS) is the most standardized numerical method of classifying traded products among industry classification systems. A hierarchical ensemble model c... |
2211.07635 | Karnik Ram | Dennis Melamed, Karnik Ram, Vivek Roy, Kris Kitani | Learnable Spatio-Temporal Map Embeddings for Deep Inertial Localization | Project page at https://klabcmu.github.io/learned-map-prior/ | null | null | null | cs.RO cs.CV | http://creativecommons.org/licenses/by/4.0/ | Indoor localization systems often fuse inertial odometry with map information
via hand-defined methods to reduce odometry drift, but such methods are
sensitive to noise and struggle to generalize across odometry sources. To
address the robustness problem in map utilization, we propose a data-driven
prior on possible ... | [
{
"created": "Mon, 14 Nov 2022 18:58:21 GMT",
"version": "v1"
}
] | 2022-11-15 | [
[
"Melamed",
"Dennis",
""
],
[
"Ram",
"Karnik",
""
],
[
"Roy",
"Vivek",
""
],
[
"Kitani",
"Kris",
""
]
] | Indoor localization systems often fuse inertial odometry with map information via hand-defined methods to reduce odometry drift, but such methods are sensitive to noise and struggle to generalize across odometry sources. To address the robustness problem in map utilization, we propose a data-driven prior on possible us... |
2403.00704 | Sergey Goncharov | Sergey Goncharov | Representing Guardedness in Call-by-Value and Guarded Parametrized
Monads | Extended version of
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSCD.2023.34 | null | null | null | cs.LO | http://creativecommons.org/licenses/by/4.0/ | Like the notion of computation via (strong) monads serves to classify various
flavours of impurity, including exceptions, non-determinism, probability, local
and global store, the notion of guardedness classifies well-behavedness of
cycles in various settings. In its most general form, the guardedness
discipline appl... | [
{
"created": "Fri, 1 Mar 2024 17:44:45 GMT",
"version": "v1"
}
] | 2024-03-04 | [
[
"Goncharov",
"Sergey",
""
]
] | Like the notion of computation via (strong) monads serves to classify various flavours of impurity, including exceptions, non-determinism, probability, local and global store, the notion of guardedness classifies well-behavedness of cycles in various settings. In its most general form, the guardedness discipline applie... |
2312.04307 | Ricky Fajri Maulana | Ricky Maulana Fajri, Yulong Pei, Lu Yin, and Mykola Pechenizkiy | A Structural-Clustering Based Active Learning for Graph Neural Networks | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In active learning for graph-structured data, Graph Neural Networks (GNNs)
have shown effectiveness. However, a common challenge in these applications is
the underutilization of crucial structural information. To address this
problem, we propose the Structural-Clustering PageRank method for improved
Active learning (... | [
{
"created": "Thu, 7 Dec 2023 14:04:38 GMT",
"version": "v1"
}
] | 2023-12-08 | [
[
"Fajri",
"Ricky Maulana",
""
],
[
"Pei",
"Yulong",
""
],
[
"Yin",
"Lu",
""
],
[
"Pechenizkiy",
"Mykola",
""
]
] | In active learning for graph-structured data, Graph Neural Networks (GNNs) have shown effectiveness. However, a common challenge in these applications is the underutilization of crucial structural information. To address this problem, we propose the Structural-Clustering PageRank method for improved Active learning (SP... |
2310.13182 | Jinrui Wang | Jinrui Wang, Mashael AlKadi, Benjamin Bach | Show Me My Users: A Dashboard Visualizing User Interaction Logs | Accepted by the IEEE VIS conference (Melbourne, VIC), 2023 | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper describes the design of a dashboard and analysis pipeline to
monitor users of visualization tools in the wild. Our pipeline describes how to
extract analytical KPIs from extensive log event data involving a mix of user
types. The resulting three-page dashboard displays live KPIs, helping analysts
understan... | [
{
"created": "Thu, 19 Oct 2023 22:31:59 GMT",
"version": "v1"
}
] | 2023-10-23 | [
[
"Wang",
"Jinrui",
""
],
[
"AlKadi",
"Mashael",
""
],
[
"Bach",
"Benjamin",
""
]
] | This paper describes the design of a dashboard and analysis pipeline to monitor users of visualization tools in the wild. Our pipeline describes how to extract analytical KPIs from extensive log event data involving a mix of user types. The resulting three-page dashboard displays live KPIs, helping analysts understand ... |
2203.01731 | Navid Rekabsaz | Klara Krieg and Emilia Parada-Cabaleiro and Markus Schedl and Navid
Rekabsaz | Do Perceived Gender Biases in Retrieval Results Affect Relevance
Judgements? | Accepted at workshop on Algorithmic Bias in Search and Recommendation
at ECIR 2022 | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work investigates the effect of gender-stereotypical biases in the
content of retrieved results on the relevance judgement of users/annotators. In
particular, since relevance in information retrieval (IR) is a
multi-dimensional concept, we study whether the value and quality of the
retrieved documents for some b... | [
{
"created": "Thu, 3 Mar 2022 14:20:20 GMT",
"version": "v1"
}
] | 2022-03-04 | [
[
"Krieg",
"Klara",
""
],
[
"Parada-Cabaleiro",
"Emilia",
""
],
[
"Schedl",
"Markus",
""
],
[
"Rekabsaz",
"Navid",
""
]
] | This work investigates the effect of gender-stereotypical biases in the content of retrieved results on the relevance judgement of users/annotators. In particular, since relevance in information retrieval (IR) is a multi-dimensional concept, we study whether the value and quality of the retrieved documents for some bia... |
2110.02842 | Rashmi Bakshi | Rashmi Bakshi | WHO-Hand Hygiene Gesture Classification System | arXiv admin note: text overlap with arXiv:2108.08127 | null | null | null | cs.CV eess.IV | http://creativecommons.org/licenses/by/4.0/ | The recent ongoing coronavirus pandemic highlights the importance of hand
hygiene practices in our daily lives, with governments and worldwide health
authorities promoting good hand hygiene practices. More than one million cases
of hospital-acquired infections occur in Europe annually. Hand hygiene
compliance may red... | [
{
"created": "Wed, 6 Oct 2021 15:15:10 GMT",
"version": "v1"
}
] | 2021-10-07 | [
[
"Bakshi",
"Rashmi",
""
]
] | The recent ongoing coronavirus pandemic highlights the importance of hand hygiene practices in our daily lives, with governments and worldwide health authorities promoting good hand hygiene practices. More than one million cases of hospital-acquired infections occur in Europe annually. Hand hygiene compliance may reduc... |
2208.05470 | Jiachen Li | Jiachen Li and Chuanbo Hua and Jinkyoo Park and Hengbo Ma and Victoria
Dax and Mykel J. Kochenderfer | EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for
Trajectory Prediction | null | null | null | null | cs.CV cs.AI cs.LG cs.MA cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While the modeling of pair-wise relations has been widely studied in
multi-agent interacting systems, its ability to capture higher-level and
larger-scale group-wise activities is limited. In this paper, we propose a
group-aware relational reasoning approach (named EvolveHypergraph) with
explicit inference of the und... | [
{
"created": "Wed, 10 Aug 2022 17:57:10 GMT",
"version": "v1"
}
] | 2022-08-11 | [
[
"Li",
"Jiachen",
""
],
[
"Hua",
"Chuanbo",
""
],
[
"Park",
"Jinkyoo",
""
],
[
"Ma",
"Hengbo",
""
],
[
"Dax",
"Victoria",
""
],
[
"Kochenderfer",
"Mykel J.",
""
]
] | While the modeling of pair-wise relations has been widely studied in multi-agent interacting systems, its ability to capture higher-level and larger-scale group-wise activities is limited. In this paper, we propose a group-aware relational reasoning approach (named EvolveHypergraph) with explicit inference of the under... |
1504.07056 | Sebastian Forster | Monika Henzinger, Sebastian Krinninger, Danupon Nanongkai | A Deterministic Almost-Tight Distributed Algorithm for Approximating
Single-Source Shortest Paths | Accepted to SIAM Journal on Computing. A preliminary version of this
paper was presented at the 48th ACM Symposium on Theory of Computing (STOC
2016). Abstract shortened to respect the arXiv limit of 1920 characters | null | 10.1145/2897518.2897638 | null | cs.DC cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a deterministic $(1+o(1))$-approximation
$(n^{1/2+o(1)}+D^{1+o(1)})$-time algorithm for solving the single-source
shortest paths problem on distributed weighted networks (the CONGEST model);
here $n$ is the number of nodes in the network and $D$ is its (hop) diameter.
This is the first non-trivial determin... | [
{
"created": "Mon, 27 Apr 2015 12:33:50 GMT",
"version": "v1"
},
{
"created": "Wed, 27 Jan 2016 10:36:51 GMT",
"version": "v2"
},
{
"created": "Thu, 14 Apr 2016 16:30:02 GMT",
"version": "v3"
},
{
"created": "Fri, 7 Oct 2016 10:15:17 GMT",
"version": "v4"
},
{
"cr... | 2018-09-20 | [
[
"Henzinger",
"Monika",
""
],
[
"Krinninger",
"Sebastian",
""
],
[
"Nanongkai",
"Danupon",
""
]
] | We present a deterministic $(1+o(1))$-approximation $(n^{1/2+o(1)}+D^{1+o(1)})$-time algorithm for solving the single-source shortest paths problem on distributed weighted networks (the CONGEST model); here $n$ is the number of nodes in the network and $D$ is its (hop) diameter. This is the first non-trivial determinis... |
1904.13245 | Xingwei Zhong Mr | Xingwei Zhong, Kui Cai, Pingping Chen, and Zhen Mei | Design of Protograph Codes for Additive White Symmetric Alpha-Stable
Noise Channels | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The protograph low-density parity-check (LDPC) codes possess many attractive
properties, such as the low encoding/decoding complexity and better error floor
performance, and hence have been successfully applied to different types of
communication and data storage channels. In this paper,we design protograph
LDPC code... | [
{
"created": "Tue, 30 Apr 2019 13:49:11 GMT",
"version": "v1"
}
] | 2019-05-01 | [
[
"Zhong",
"Xingwei",
""
],
[
"Cai",
"Kui",
""
],
[
"Chen",
"Pingping",
""
],
[
"Mei",
"Zhen",
""
]
] | The protograph low-density parity-check (LDPC) codes possess many attractive properties, such as the low encoding/decoding complexity and better error floor performance, and hence have been successfully applied to different types of communication and data storage channels. In this paper,we design protograph LDPC codes ... |
2209.03089 | Souvic Chakraborty | Medidoddi Vahini, Jalend Bantupalli, Souvic Chakraborty, and Animesh
Mukherjee | Decoding Demographic un-fairness from Indian Names | Accepted to SocInfo'22; code hosted at
https://github.com/vahini01/IndianDemographics | SocInfo'22: International Conference on Social Informatics 2022 | null | null | cs.CY cs.CL cs.DL cs.LG cs.SI | http://creativecommons.org/licenses/by/4.0/ | Demographic classification is essential in fairness assessment in recommender
systems or in measuring unintended bias in online networks and voting systems.
Important fields like education and politics, which often lay a foundation for
the future of equality in society, need scrutiny to design policies that can
bette... | [
{
"created": "Wed, 7 Sep 2022 11:54:49 GMT",
"version": "v1"
}
] | 2022-09-08 | [
[
"Vahini",
"Medidoddi",
""
],
[
"Bantupalli",
"Jalend",
""
],
[
"Chakraborty",
"Souvic",
""
],
[
"Mukherjee",
"Animesh",
""
]
] | Demographic classification is essential in fairness assessment in recommender systems or in measuring unintended bias in online networks and voting systems. Important fields like education and politics, which often lay a foundation for the future of equality in society, need scrutiny to design policies that can better ... |
2403.15246 | Orion Weller | Orion Weller, Benjamin Chang, Sean MacAvaney, Kyle Lo, Arman Cohan,
Benjamin Van Durme, Dawn Lawrie, Luca Soldaini | FollowIR: Evaluating and Teaching Information Retrieval Models to Follow
Instructions | null | null | null | null | cs.IR cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | Modern Language Models (LMs) are capable of following long and complex
instructions that enable a large and diverse set of user requests. While
Information Retrieval (IR) models use these LMs as the backbone of their
architectures, virtually none of them allow users to provide detailed
instructions alongside queries,... | [
{
"created": "Fri, 22 Mar 2024 14:42:29 GMT",
"version": "v1"
},
{
"created": "Mon, 6 May 2024 14:56:01 GMT",
"version": "v2"
},
{
"created": "Tue, 7 May 2024 14:25:15 GMT",
"version": "v3"
}
] | 2024-05-08 | [
[
"Weller",
"Orion",
""
],
[
"Chang",
"Benjamin",
""
],
[
"MacAvaney",
"Sean",
""
],
[
"Lo",
"Kyle",
""
],
[
"Cohan",
"Arman",
""
],
[
"Van Durme",
"Benjamin",
""
],
[
"Lawrie",
"Dawn",
""
],
[
"Solda... | Modern Language Models (LMs) are capable of following long and complex instructions that enable a large and diverse set of user requests. While Information Retrieval (IR) models use these LMs as the backbone of their architectures, virtually none of them allow users to provide detailed instructions alongside queries, t... |
2408.01115 | Alexander Knapp | Rolf Hennicker, Alexander Knapp, Martin Wirsing | Epistemic Ensembles in Semantic and Symbolic Environments (Extended
Version with Proofs) | Extended version of REoCAS@ISoLA 2024 | null | null | null | cs.SE | http://creativecommons.org/licenses/by-nc-nd/4.0/ | An epistemic ensemble is composed of knowledge-based agents capable of
retrieving and sharing knowledge and beliefs about themselves and their peers.
These agents access a global knowledge state and use actions to communicate and
cooperate, altering the collective knowledge state. We study two types of
mathematical s... | [
{
"created": "Fri, 2 Aug 2024 08:52:05 GMT",
"version": "v1"
}
] | 2024-08-05 | [
[
"Hennicker",
"Rolf",
""
],
[
"Knapp",
"Alexander",
""
],
[
"Wirsing",
"Martin",
""
]
] | An epistemic ensemble is composed of knowledge-based agents capable of retrieving and sharing knowledge and beliefs about themselves and their peers. These agents access a global knowledge state and use actions to communicate and cooperate, altering the collective knowledge state. We study two types of mathematical sem... |
1111.3728 | Vinay Joseph | Vinay Joseph, Gustavo de Veciana | Variability Aware Network Utility Maximization | null | null | null | null | cs.SY cs.NI math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Network Utility Maximization (NUM) provides the key conceptual framework to
study resource allocation amongst a collection of users/entities across
disciplines as diverse as economics, law and engineering. In network
engineering, this framework has been particularly insightful towards
understanding how Internet proto... | [
{
"created": "Wed, 16 Nov 2011 08:30:07 GMT",
"version": "v1"
},
{
"created": "Thu, 17 Nov 2011 01:14:10 GMT",
"version": "v2"
},
{
"created": "Fri, 13 Apr 2012 18:48:47 GMT",
"version": "v3"
}
] | 2015-03-19 | [
[
"Joseph",
"Vinay",
""
],
[
"de Veciana",
"Gustavo",
""
]
] | Network Utility Maximization (NUM) provides the key conceptual framework to study resource allocation amongst a collection of users/entities across disciplines as diverse as economics, law and engineering. In network engineering, this framework has been particularly insightful towards understanding how Internet protoco... |
1308.5434 | Chunhua Geng | Chunhua Geng, Hua Sun, and Syed A. Jafar | Multilevel Topological Interference Management | To be presented at 2013 IEEE Information Theory Workshop | null | 10.1109/ITW.2013.6691291 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The robust principles of treating interference as noise (TIN) when it is
sufficiently weak, and avoiding it when it is not, form the background for this
work. Combining TIN with the topological interference management (TIM)
framework that identifies optimal interference avoidance schemes, a baseline
TIM-TIN approach ... | [
{
"created": "Sun, 25 Aug 2013 18:37:06 GMT",
"version": "v1"
}
] | 2016-11-17 | [
[
"Geng",
"Chunhua",
""
],
[
"Sun",
"Hua",
""
],
[
"Jafar",
"Syed A.",
""
]
] | The robust principles of treating interference as noise (TIN) when it is sufficiently weak, and avoiding it when it is not, form the background for this work. Combining TIN with the topological interference management (TIM) framework that identifies optimal interference avoidance schemes, a baseline TIM-TIN approach is... |
1601.02132 | Cliff Jones | Cliff B. Jones, Ian J. Hayes | Possible values: exploring a concept for concurrency | null | null | null | null | cs.LO | http://creativecommons.org/licenses/by-nc-sa/4.0/ | An important issue in concurrency is interference. This issue manifests
itself in both shared-variable and communication-based concurrency --- this
paper focusses on the former case where interference is caused by the
environment of a process changing the values of shared variables.
Rely/guarantee approaches have bee... | [
{
"created": "Sat, 9 Jan 2016 16:53:15 GMT",
"version": "v1"
}
] | 2016-01-12 | [
[
"Jones",
"Cliff B.",
""
],
[
"Hayes",
"Ian J.",
""
]
] | An important issue in concurrency is interference. This issue manifests itself in both shared-variable and communication-based concurrency --- this paper focusses on the former case where interference is caused by the environment of a process changing the values of shared variables. Rely/guarantee approaches have been ... |
2004.01655 | Marjan Ghazvininejad | Marjan Ghazvininejad, Vladimir Karpukhin, Luke Zettlemoyer, Omer Levy | Aligned Cross Entropy for Non-Autoregressive Machine Translation | null | null | null | null | cs.CL cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Non-autoregressive machine translation models significantly speed up decoding
by allowing for parallel prediction of the entire target sequence. However,
modeling word order is more challenging due to the lack of autoregressive
factors in the model. This difficultly is compounded during training with cross
entropy lo... | [
{
"created": "Fri, 3 Apr 2020 16:24:47 GMT",
"version": "v1"
}
] | 2020-04-06 | [
[
"Ghazvininejad",
"Marjan",
""
],
[
"Karpukhin",
"Vladimir",
""
],
[
"Zettlemoyer",
"Luke",
""
],
[
"Levy",
"Omer",
""
]
] | Non-autoregressive machine translation models significantly speed up decoding by allowing for parallel prediction of the entire target sequence. However, modeling word order is more challenging due to the lack of autoregressive factors in the model. This difficultly is compounded during training with cross entropy loss... |
2306.09955 | Erin George | Erin George, Michael Murray, William Swartworth, Deanna Needell | Training shallow ReLU networks on noisy data using hinge loss: when do
we overfit and is it benign? | 48 pages, 2 figures, 1 table | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | We study benign overfitting in two-layer ReLU networks trained using gradient
descent and hinge loss on noisy data for binary classification. In particular,
we consider linearly separable data for which a relatively small proportion of
labels are corrupted or flipped. We identify conditions on the margin of the
clean... | [
{
"created": "Fri, 16 Jun 2023 16:40:04 GMT",
"version": "v1"
},
{
"created": "Wed, 8 Nov 2023 19:02:56 GMT",
"version": "v2"
}
] | 2023-11-10 | [
[
"George",
"Erin",
""
],
[
"Murray",
"Michael",
""
],
[
"Swartworth",
"William",
""
],
[
"Needell",
"Deanna",
""
]
] | We study benign overfitting in two-layer ReLU networks trained using gradient descent and hinge loss on noisy data for binary classification. In particular, we consider linearly separable data for which a relatively small proportion of labels are corrupted or flipped. We identify conditions on the margin of the clean d... |
1904.02032 | Justin Wood | Justin Wood, Nicholas J. Matiasz, Alcino J. Silva, William Hsu, Alexej
Abyzov, Wei Wang | OpBerg: Discovering causal sentences using optimal alignments | null | null | null | null | cs.IR cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The biological literature is rich with sentences that describe causal
relations. Methods that automatically extract such sentences can help
biologists to synthesize the literature and even discover latent relations that
had not been articulated explicitly. Current methods for extracting causal
sentences are based on ... | [
{
"created": "Wed, 3 Apr 2019 14:36:49 GMT",
"version": "v1"
}
] | 2019-04-04 | [
[
"Wood",
"Justin",
""
],
[
"Matiasz",
"Nicholas J.",
""
],
[
"Silva",
"Alcino J.",
""
],
[
"Hsu",
"William",
""
],
[
"Abyzov",
"Alexej",
""
],
[
"Wang",
"Wei",
""
]
] | The biological literature is rich with sentences that describe causal relations. Methods that automatically extract such sentences can help biologists to synthesize the literature and even discover latent relations that had not been articulated explicitly. Current methods for extracting causal sentences are based on ei... |
2207.02792 | Mallesham Dasari | Mallesham Dasari, Ramanujan K Sheshadri, Karthikeyan Sundaresan, Samir
R. Das | RoVaR: Robust Multi-agent Tracking through Dual-layer Diversity in
Visual and RF Sensor Fusion | 14 pages | null | null | null | cs.RO cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The plethora of sensors in our commodity devices provides a rich substrate
for sensor-fused tracking. Yet, today's solutions are unable to deliver robust
and high tracking accuracies across multiple agents in practical, everyday
environments - a feature central to the future of immersive and collaborative
application... | [
{
"created": "Wed, 6 Jul 2022 16:26:42 GMT",
"version": "v1"
}
] | 2022-07-07 | [
[
"Dasari",
"Mallesham",
""
],
[
"Sheshadri",
"Ramanujan K",
""
],
[
"Sundaresan",
"Karthikeyan",
""
],
[
"Das",
"Samir R.",
""
]
] | The plethora of sensors in our commodity devices provides a rich substrate for sensor-fused tracking. Yet, today's solutions are unable to deliver robust and high tracking accuracies across multiple agents in practical, everyday environments - a feature central to the future of immersive and collaborative applications.... |
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