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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2006.15337 | Khaled Elbassioni | Khaled Elbassioni | On Dualization over Distributive Lattices | null | Discrete Mathematics & Theoretical Computer Science, vol. 24, no
2, Discrete Algorithms (October 27, 2022) dmtcs:6742 | 10.46298/dmtcs.6742 | null | cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given a partially order set (poset) $P$, and a pair of families of ideals
$\mathcal{I}$ and filters $\mathcal{F}$ in $P$ such that each pair $(I,F)\in
\mathcal{I}\times\mathcal{F}$ has a non-empty intersection, the dualization
problem over $P$ is to check whether there is an ideal $X$ in $P$ which
intersects every me... | [
{
"created": "Sat, 27 Jun 2020 10:43:11 GMT",
"version": "v1"
},
{
"created": "Tue, 15 Jun 2021 21:58:41 GMT",
"version": "v2"
},
{
"created": "Tue, 19 Jul 2022 17:11:41 GMT",
"version": "v3"
},
{
"created": "Fri, 21 Oct 2022 13:11:03 GMT",
"version": "v4"
}
] | 2023-06-22 | [
[
"Elbassioni",
"Khaled",
""
]
] | Given a partially order set (poset) $P$, and a pair of families of ideals $\mathcal{I}$ and filters $\mathcal{F}$ in $P$ such that each pair $(I,F)\in \mathcal{I}\times\mathcal{F}$ has a non-empty intersection, the dualization problem over $P$ is to check whether there is an ideal $X$ in $P$ which intersects every memb... |
2202.11572 | Rohan Chandra | Nilesh Suriyarachchi, Rohan Chandra, John S. Baras, Dinesh Manocha | GAMEOPT: Optimal Real-time Multi-Agent Planning and Control for Dynamic
Intersections | Submitted to ITSC 2022 | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | We propose GameOpt: a novel hybrid approach to cooperative intersection
control for dynamic, multi-lane, unsignalized intersections. Safely navigating
these complex and accident prone intersections requires simultaneous trajectory
planning and negotiation among drivers. GameOpt is a hybrid formulation that
first uses... | [
{
"created": "Wed, 23 Feb 2022 15:42:55 GMT",
"version": "v1"
},
{
"created": "Fri, 25 Feb 2022 05:35:19 GMT",
"version": "v2"
},
{
"created": "Fri, 18 Mar 2022 04:19:42 GMT",
"version": "v3"
}
] | 2022-03-21 | [
[
"Suriyarachchi",
"Nilesh",
""
],
[
"Chandra",
"Rohan",
""
],
[
"Baras",
"John S.",
""
],
[
"Manocha",
"Dinesh",
""
]
] | We propose GameOpt: a novel hybrid approach to cooperative intersection control for dynamic, multi-lane, unsignalized intersections. Safely navigating these complex and accident prone intersections requires simultaneous trajectory planning and negotiation among drivers. GameOpt is a hybrid formulation that first uses a... |
1608.01818 | Manuel Mazzara | Leonard Johard, Lukas Breitwieser, Alberto Di Meglio, Marco Manca,
Manuel Mazzara, Max Talanov | The BioDynaMo Project: a platform for computer simulations of biological
dynamics | The paper contains inaccurate content and claims that need to be
verified | null | null | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper is a brief update on developments in the BioDynaMo project, a new
platform for computer simulations for biological research. We will discuss the
new capabilities of the simulator, important new concepts simulation
methodology as well as its numerous applications to the computational biology
and nanoscience... | [
{
"created": "Fri, 5 Aug 2016 09:55:59 GMT",
"version": "v1"
},
{
"created": "Fri, 19 Jan 2018 12:48:57 GMT",
"version": "v2"
}
] | 2018-01-22 | [
[
"Johard",
"Leonard",
""
],
[
"Breitwieser",
"Lukas",
""
],
[
"Di Meglio",
"Alberto",
""
],
[
"Manca",
"Marco",
""
],
[
"Mazzara",
"Manuel",
""
],
[
"Talanov",
"Max",
""
]
] | This paper is a brief update on developments in the BioDynaMo project, a new platform for computer simulations for biological research. We will discuss the new capabilities of the simulator, important new concepts simulation methodology as well as its numerous applications to the computational biology and nanoscience c... |
cs/0608002 | Florentin Smarandache | Florentin Smarandache, Jean Dezert | An Introduction to the DSm Theory for the Combination of Paradoxical,
Uncertain, and Imprecise Sources of Information | 21 pages, many tables, figures. To appear in Information&Security
International Journal, 2006 | Presented at 13th International Congress of Cybernetics and
Systems, Maribor, Slovenia, July 6-10, 2005. | null | null | cs.AI | null | The management and combination of uncertain, imprecise, fuzzy and even
paradoxical or high conflicting sources of information has always been, and
still remains today, of primal importance for the development of reliable
modern information systems involving artificial reasoning. In this
introduction, we present a sur... | [
{
"created": "Tue, 1 Aug 2006 15:31:13 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Smarandache",
"Florentin",
""
],
[
"Dezert",
"Jean",
""
]
] | The management and combination of uncertain, imprecise, fuzzy and even paradoxical or high conflicting sources of information has always been, and still remains today, of primal importance for the development of reliable modern information systems involving artificial reasoning. In this introduction, we present a surve... |
2005.03322 | Petr T\r{u}ma | Anton\'in Steinhauser and Petr T\r{u}ma | Database Traffic Interception for Graybox Detection of Stored and
Context-Sensitive XSS | null | Digital Threats: Research and Practice, 1(3): 1-23, 2020 | 10.1145/3399668 | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | XSS is a security vulnerability that permits injecting malicious code into
the client side of a web application. In the simplest situations, XSS
vulnerabilities arise when a web application includes the user input in the web
output without due sanitization. Such simple XSS vulnerabilities can be
detected fairly relia... | [
{
"created": "Thu, 7 May 2020 08:38:38 GMT",
"version": "v1"
},
{
"created": "Fri, 7 Aug 2020 14:55:05 GMT",
"version": "v2"
}
] | 2020-08-10 | [
[
"Steinhauser",
"Antonín",
""
],
[
"Tůma",
"Petr",
""
]
] | XSS is a security vulnerability that permits injecting malicious code into the client side of a web application. In the simplest situations, XSS vulnerabilities arise when a web application includes the user input in the web output without due sanitization. Such simple XSS vulnerabilities can be detected fairly reliabl... |
2212.01683 | Chang Shi | Chang Shi, Yi Zheng, Ann Majewicz Fey | Recognition and Prediction of Surgical Gestures and Trajectories Using
Transformer Models in Robot-Assisted Surgery | Accepted at 2022 IEEE/RSJ International Conference on Intelligent
Robots and Systems (IROS) 2022 | null | null | null | cs.RO cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Surgical activity recognition and prediction can help provide important
context in many Robot-Assisted Surgery (RAS) applications, for example,
surgical progress monitoring and estimation, surgical skill evaluation, and
shared control strategies during teleoperation. Transformer models were first
developed for Natura... | [
{
"created": "Sat, 3 Dec 2022 20:26:48 GMT",
"version": "v1"
}
] | 2022-12-06 | [
[
"Shi",
"Chang",
""
],
[
"Zheng",
"Yi",
""
],
[
"Fey",
"Ann Majewicz",
""
]
] | Surgical activity recognition and prediction can help provide important context in many Robot-Assisted Surgery (RAS) applications, for example, surgical progress monitoring and estimation, surgical skill evaluation, and shared control strategies during teleoperation. Transformer models were first developed for Natural ... |
2004.13965 | Megha Khosla | Vikram Waradpande, Daniel Kudenko, Megha Khosla | Graph-based State Representation for Deep Reinforcement Learning | null | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | Deep RL approaches build much of their success on the ability of the deep
neural network to generate useful internal representations. Nevertheless, they
suffer from a high sample-complexity and starting with a good input
representation can have a significant impact on the performance. In this paper,
we exploit the fa... | [
{
"created": "Wed, 29 Apr 2020 05:43:15 GMT",
"version": "v1"
},
{
"created": "Fri, 20 Nov 2020 15:31:22 GMT",
"version": "v2"
},
{
"created": "Tue, 16 Feb 2021 17:49:34 GMT",
"version": "v3"
}
] | 2021-02-17 | [
[
"Waradpande",
"Vikram",
""
],
[
"Kudenko",
"Daniel",
""
],
[
"Khosla",
"Megha",
""
]
] | Deep RL approaches build much of their success on the ability of the deep neural network to generate useful internal representations. Nevertheless, they suffer from a high sample-complexity and starting with a good input representation can have a significant impact on the performance. In this paper, we exploit the fact... |
2405.08337 | Benjamin Sinclair | Benjamin Sinclair, Lucy Vivash, Jasmine Moses, Miranda Lynch, William
Pham, Karina Dorfman, Cassandra Marotta, Shaun Koh, Jacob Bunyamin, Ella
Rowsthorn, Alex Jarema, Himashi Peiris, Zhaolin Chen, Sandy R Shultz, David K
Wright, Dexiao Kong, Sharon L. Naismith, Terence J. O\'Brien, Meng Law | Perivascular space Identification Nnunet for Generalised Usage (PINGU) | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | Perivascular spaces(PVSs) form a central component of the brain\'s waste
clearance system, the glymphatic system. These structures are visible on MRI
images, and their morphology is associated with aging and neurological disease.
Manual quantification of PVS is time consuming and subjective. Numerous deep
learning me... | [
{
"created": "Tue, 14 May 2024 06:16:13 GMT",
"version": "v1"
},
{
"created": "Fri, 17 May 2024 06:47:44 GMT",
"version": "v2"
}
] | 2024-05-20 | [
[
"Sinclair",
"Benjamin",
""
],
[
"Vivash",
"Lucy",
""
],
[
"Moses",
"Jasmine",
""
],
[
"Lynch",
"Miranda",
""
],
[
"Pham",
"William",
""
],
[
"Dorfman",
"Karina",
""
],
[
"Marotta",
"Cassandra",
""
],
[
... | Perivascular spaces(PVSs) form a central component of the brain\'s waste clearance system, the glymphatic system. These structures are visible on MRI images, and their morphology is associated with aging and neurological disease. Manual quantification of PVS is time consuming and subjective. Numerous deep learning meth... |
2403.11472 | Minsu Kim | Minsu Kim, Jinwoo Hwang, Guseul Heo, Seiyeon Cho, Divya Mahajan,
Jongse Park | Accelerating String-Key Learned Index Structures via Memoization-based
Incremental Training | Accepted at VLDB '24; 12 pages + 2 pages (ref), 18 figures, 2 tables | null | null | null | cs.LG cs.AR cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Learned indexes use machine learning models to learn the mappings between
keys and their corresponding positions in key-value indexes. These indexes use
the mapping information as training data. Learned indexes require frequent
retrainings of their models to incorporate the changes introduced by update
queries. To ef... | [
{
"created": "Mon, 18 Mar 2024 04:44:00 GMT",
"version": "v1"
}
] | 2024-03-19 | [
[
"Kim",
"Minsu",
""
],
[
"Hwang",
"Jinwoo",
""
],
[
"Heo",
"Guseul",
""
],
[
"Cho",
"Seiyeon",
""
],
[
"Mahajan",
"Divya",
""
],
[
"Park",
"Jongse",
""
]
] | Learned indexes use machine learning models to learn the mappings between keys and their corresponding positions in key-value indexes. These indexes use the mapping information as training data. Learned indexes require frequent retrainings of their models to incorporate the changes introduced by update queries. To effi... |
2407.00021 | Qiqi Hou | Farzad Farhadzadeh, Qiqi Hou, Hoang Le, Amir Said, Randall Rauwendaal,
Alex Bourd, Fatih Porikli | Neural Graphics Texture Compression Supporting Random Acces | ECCV submission | null | null | null | cs.CV cs.GR eess.IV | http://creativecommons.org/licenses/by/4.0/ | Advances in rendering have led to tremendous growth in texture assets,
including resolution, complexity, and novel textures components, but this
growth in data volume has not been matched by advances in its compression.
Meanwhile Neural Image Compression (NIC) has advanced significantly and shown
promising results, b... | [
{
"created": "Mon, 6 May 2024 19:44:13 GMT",
"version": "v1"
}
] | 2024-07-02 | [
[
"Farhadzadeh",
"Farzad",
""
],
[
"Hou",
"Qiqi",
""
],
[
"Le",
"Hoang",
""
],
[
"Said",
"Amir",
""
],
[
"Rauwendaal",
"Randall",
""
],
[
"Bourd",
"Alex",
""
],
[
"Porikli",
"Fatih",
""
]
] | Advances in rendering have led to tremendous growth in texture assets, including resolution, complexity, and novel textures components, but this growth in data volume has not been matched by advances in its compression. Meanwhile Neural Image Compression (NIC) has advanced significantly and shown promising results, but... |
2110.15444 | Jinyuan Jia | Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong | 10 Security and Privacy Problems in Large Foundation Models | A book chapter | null | null | null | cs.CR cs.LG | http://creativecommons.org/licenses/by/4.0/ | Foundation models--such as GPT, CLIP, and DINO--have achieved revolutionary
progress in the past several years and are commonly believed to be a promising
approach for general-purpose AI. In particular, self-supervised learning is
adopted to pre-train a foundation model using a large amount of unlabeled data.
A pre-t... | [
{
"created": "Thu, 28 Oct 2021 21:45:53 GMT",
"version": "v1"
},
{
"created": "Tue, 2 Nov 2021 02:12:12 GMT",
"version": "v2"
},
{
"created": "Fri, 9 Jun 2023 15:53:54 GMT",
"version": "v3"
}
] | 2023-06-12 | [
[
"Jia",
"Jinyuan",
""
],
[
"Liu",
"Hongbin",
""
],
[
"Gong",
"Neil Zhenqiang",
""
]
] | Foundation models--such as GPT, CLIP, and DINO--have achieved revolutionary progress in the past several years and are commonly believed to be a promising approach for general-purpose AI. In particular, self-supervised learning is adopted to pre-train a foundation model using a large amount of unlabeled data. A pre-tra... |
1706.07567 | Chao-Yuan Wu | Chao-Yuan Wu, R. Manmatha, Alexander J. Smola, Philipp Kr\"ahenb\"uhl | Sampling Matters in Deep Embedding Learning | Add supplementary material. Paper published in ICCV 2017 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep embeddings answer one simple question: How similar are two images?
Learning these embeddings is the bedrock of verification, zero-shot learning,
and visual search. The most prominent approaches optimize a deep convolutional
network with a suitable loss function, such as contrastive loss or triplet
loss. While a ... | [
{
"created": "Fri, 23 Jun 2017 05:14:55 GMT",
"version": "v1"
},
{
"created": "Tue, 16 Jan 2018 16:54:27 GMT",
"version": "v2"
}
] | 2018-01-17 | [
[
"Wu",
"Chao-Yuan",
""
],
[
"Manmatha",
"R.",
""
],
[
"Smola",
"Alexander J.",
""
],
[
"Krähenbühl",
"Philipp",
""
]
] | Deep embeddings answer one simple question: How similar are two images? Learning these embeddings is the bedrock of verification, zero-shot learning, and visual search. The most prominent approaches optimize a deep convolutional network with a suitable loss function, such as contrastive loss or triplet loss. While a ri... |
1706.00176 | Anh Nguyen | Anh Nguyen | 3DTouch: Towards a Wearable 3D Input Device for 3D Applications | MS thesis, University of Wyoming, ProQuest | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Three-dimensional (3D) applications have come to every corner of life. We
present 3DTouch, a novel 3D wearable input device worn on the fingertip for
interacting with 3D applications. 3DTouch is self-contained, and designed to
universally work on various 3D platforms. The device employs touch input for
the benefits o... | [
{
"created": "Thu, 1 Jun 2017 06:43:54 GMT",
"version": "v1"
}
] | 2017-06-02 | [
[
"Nguyen",
"Anh",
""
]
] | Three-dimensional (3D) applications have come to every corner of life. We present 3DTouch, a novel 3D wearable input device worn on the fingertip for interacting with 3D applications. 3DTouch is self-contained, and designed to universally work on various 3D platforms. The device employs touch input for the benefits of ... |
2305.17050 | Cunxiang Wang | Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng
Zhang, Yue Zhang | Exploiting Abstract Meaning Representation for Open-Domain Question
Answering | Accepted by ACL2023 findings, reviewer scores: 4 4 4 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | The Open-Domain Question Answering (ODQA) task involves retrieving and
subsequently generating answers from fine-grained relevant passages within a
database. Current systems leverage Pretrained Language Models (PLMs) to model
the relationship between questions and passages. However, the diversity in
surface form expr... | [
{
"created": "Fri, 26 May 2023 16:00:16 GMT",
"version": "v1"
}
] | 2023-05-29 | [
[
"Wang",
"Cunxiang",
""
],
[
"Xu",
"Zhikun",
""
],
[
"Guo",
"Qipeng",
""
],
[
"Hu",
"Xiangkun",
""
],
[
"Bai",
"Xuefeng",
""
],
[
"Zhang",
"Zheng",
""
],
[
"Zhang",
"Yue",
""
]
] | The Open-Domain Question Answering (ODQA) task involves retrieving and subsequently generating answers from fine-grained relevant passages within a database. Current systems leverage Pretrained Language Models (PLMs) to model the relationship between questions and passages. However, the diversity in surface form expres... |
2407.10887 | Ahmed Salem | Mark Russinovich and Ahmed Salem | Hey, That's My Model! Introducing Chain & Hash, An LLM Fingerprinting
Technique | null | null | null | null | cs.CR cs.AI | http://creativecommons.org/licenses/by/4.0/ | Amid growing concerns over the ease of theft and misuse of Large Language
Models (LLMs), the need for fingerprinting models has increased.
Fingerprinting, in this context, means that the model owner can link a given
model to their original version, thereby identifying if their model is being
misused or has been compl... | [
{
"created": "Mon, 15 Jul 2024 16:38:56 GMT",
"version": "v1"
},
{
"created": "Wed, 17 Jul 2024 07:39:41 GMT",
"version": "v2"
}
] | 2024-07-18 | [
[
"Russinovich",
"Mark",
""
],
[
"Salem",
"Ahmed",
""
]
] | Amid growing concerns over the ease of theft and misuse of Large Language Models (LLMs), the need for fingerprinting models has increased. Fingerprinting, in this context, means that the model owner can link a given model to their original version, thereby identifying if their model is being misused or has been complet... |
2006.13561 | Tung Nguyen Thanh | Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq Joty, Xiaoli Li | Differentiable Window for Dynamic Local Attention | Accepted at ACL 2020 | null | null | null | cs.LG cs.CL stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose Differentiable Window, a new neural module and general purpose
component for dynamic window selection. While universally applicable, we
demonstrate a compelling use case of utilizing Differentiable Window to improve
standard attention modules by enabling more focused attentions over the input
regions. We p... | [
{
"created": "Wed, 24 Jun 2020 08:47:26 GMT",
"version": "v1"
}
] | 2020-06-25 | [
[
"Nguyen",
"Thanh-Tung",
""
],
[
"Nguyen",
"Xuan-Phi",
""
],
[
"Joty",
"Shafiq",
""
],
[
"Li",
"Xiaoli",
""
]
] | We propose Differentiable Window, a new neural module and general purpose component for dynamic window selection. While universally applicable, we demonstrate a compelling use case of utilizing Differentiable Window to improve standard attention modules by enabling more focused attentions over the input regions. We pro... |
1506.01058 | Bahar Partov | Bahar Partov, Douglas J. Leith | Utility Fair Rate Allocation in LTE/802.11 Networks | 13 pages, submitted to IEEE/ACM Transactions on Networking | null | 10.1109/TNET.2016.2614252 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider proportional fair rate allocation in a heterogeneous network with
a mix of LTE and 802.11 cells which supports multipath and multihomed operation
(simultaneous connection of a user device to multiple LTE BSs and 802.11 APs).
We show that the utility fair optimisation problem is non-convex but that a
globa... | [
{
"created": "Tue, 2 Jun 2015 20:54:29 GMT",
"version": "v1"
}
] | 2016-11-18 | [
[
"Partov",
"Bahar",
""
],
[
"Leith",
"Douglas J.",
""
]
] | We consider proportional fair rate allocation in a heterogeneous network with a mix of LTE and 802.11 cells which supports multipath and multihomed operation (simultaneous connection of a user device to multiple LTE BSs and 802.11 APs). We show that the utility fair optimisation problem is non-convex but that a global ... |
2108.01513 | Weiyang Liu | Yandong Wen, Weiyang Liu, Adrian Weller, Bhiksha Raj, Rita Singh | SphereFace2: Binary Classification is All You Need for Deep Face
Recognition | ICLR 2022 Spotlight (v3: Updated Appendix) | null | null | null | cs.CV cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | State-of-the-art deep face recognition methods are mostly trained with a
softmax-based multi-class classification framework. Despite being popular and
effective, these methods still have a few shortcomings that limit empirical
performance. In this paper, we start by identifying the discrepancy between
training and ev... | [
{
"created": "Tue, 3 Aug 2021 13:58:45 GMT",
"version": "v1"
},
{
"created": "Wed, 16 Mar 2022 06:58:28 GMT",
"version": "v2"
},
{
"created": "Mon, 11 Apr 2022 03:49:28 GMT",
"version": "v3"
}
] | 2022-04-12 | [
[
"Wen",
"Yandong",
""
],
[
"Liu",
"Weiyang",
""
],
[
"Weller",
"Adrian",
""
],
[
"Raj",
"Bhiksha",
""
],
[
"Singh",
"Rita",
""
]
] | State-of-the-art deep face recognition methods are mostly trained with a softmax-based multi-class classification framework. Despite being popular and effective, these methods still have a few shortcomings that limit empirical performance. In this paper, we start by identifying the discrepancy between training and eval... |
1611.00491 | Huimei Han | Huimei Han, Xudong Guo, Ying Li | A High Throughput Pilot Allocation for M2M Communication in Crowded
Massive MIMO Systems | 5 pages,6 figures | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A new scheme to resolve the intra-cell pilot collision for M2M communication
in crowded massive multiple-input multiple-output (MIMO) systems is proposed.
The proposed scheme permits those failed user equipments (UEs), judged by a
strongest-user collision resolution (SUCR) protocol, to contend for the idle
pilots, i.... | [
{
"created": "Wed, 2 Nov 2016 07:36:23 GMT",
"version": "v1"
}
] | 2016-11-03 | [
[
"Han",
"Huimei",
""
],
[
"Guo",
"Xudong",
""
],
[
"Li",
"Ying",
""
]
] | A new scheme to resolve the intra-cell pilot collision for M2M communication in crowded massive multiple-input multiple-output (MIMO) systems is proposed. The proposed scheme permits those failed user equipments (UEs), judged by a strongest-user collision resolution (SUCR) protocol, to contend for the idle pilots, i.e.... |
2010.14121 | Jun Zhuang | Jun Zhuang, Mohammad Al Hasan | Deperturbation of Online Social Networks via Bayesian Label Transition | TL;DR: GraphLT is the first model that adapts the Bayesian label
transition method on GCNs for deperturbation in online social networks. Our
work is accepted by SDM 2022 | null | null | null | cs.LG cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Online social networks (OSNs) classify users into different categories based
on their online activities and interests, a task which is referred as a node
classification task. Such a task can be solved effectively using Graph
Convolutional Networks (GCNs). However, a small number of users, so-called
perturbators, may ... | [
{
"created": "Tue, 27 Oct 2020 08:15:12 GMT",
"version": "v1"
},
{
"created": "Mon, 2 Nov 2020 01:56:07 GMT",
"version": "v2"
},
{
"created": "Tue, 18 Jan 2022 23:55:23 GMT",
"version": "v3"
}
] | 2022-01-20 | [
[
"Zhuang",
"Jun",
""
],
[
"Hasan",
"Mohammad Al",
""
]
] | Online social networks (OSNs) classify users into different categories based on their online activities and interests, a task which is referred as a node classification task. Such a task can be solved effectively using Graph Convolutional Networks (GCNs). However, a small number of users, so-called perturbators, may pe... |
2210.03839 | Nina Pardal | Ivo Koch, Nina Pardal, Vinicius Fernandes dos Santos | Edge deletion to tree-like graph classes | 10 pages, no figures | null | null | null | cs.DM cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | For a fixed property (graph class) ${\Pi}$, given a graph G and an integer k,
the ${\Pi}$-deletion problem consists in deciding if we can turn $G$ into a
graph with the property ${\Pi}$ by deleting at most $k$ edges. The
${\Pi}$-deletion problem is known to be NP-hard for most of the well-studied
graph classes, such ... | [
{
"created": "Fri, 7 Oct 2022 22:25:07 GMT",
"version": "v1"
},
{
"created": "Thu, 13 Jul 2023 16:29:55 GMT",
"version": "v2"
}
] | 2023-07-14 | [
[
"Koch",
"Ivo",
""
],
[
"Pardal",
"Nina",
""
],
[
"Santos",
"Vinicius Fernandes dos",
""
]
] | For a fixed property (graph class) ${\Pi}$, given a graph G and an integer k, the ${\Pi}$-deletion problem consists in deciding if we can turn $G$ into a graph with the property ${\Pi}$ by deleting at most $k$ edges. The ${\Pi}$-deletion problem is known to be NP-hard for most of the well-studied graph classes, such as... |
2404.10924 | Mohammad Hasan | Croix Gyurek and Niloy Talukder and Mohammad Al Hasan | Binder: Hierarchical Concept Representation through Order Embedding of
Binary Vectors | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | For natural language understanding and generation, embedding concepts using
an order-based representation is an essential task. Unlike traditional point
vector based representation, an order-based representation imposes geometric
constraints on the representation vectors for explicitly capturing various
semantic rela... | [
{
"created": "Tue, 16 Apr 2024 21:52:55 GMT",
"version": "v1"
}
] | 2024-04-18 | [
[
"Gyurek",
"Croix",
""
],
[
"Talukder",
"Niloy",
""
],
[
"Hasan",
"Mohammad Al",
""
]
] | For natural language understanding and generation, embedding concepts using an order-based representation is an essential task. Unlike traditional point vector based representation, an order-based representation imposes geometric constraints on the representation vectors for explicitly capturing various semantic relati... |
1801.08811 | Guohua Zhang | Guohua Zhang, Yulin Hu and Qinwei He | Constructing LDPC Codes from Partition and Latin-Style Splicing | 7 pages, 2 figures | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A novel method guaranteeing nondecreasing girth is presented for constructing
longer low-density parity-check (LDPC) codes from shorter ones. The
parity-check matrix of a shorter base code is decomposed into N (N>=2)
non-overlapping components with the same size. Then, these components are
combined together to form t... | [
{
"created": "Fri, 26 Jan 2018 13:59:43 GMT",
"version": "v1"
}
] | 2018-01-29 | [
[
"Zhang",
"Guohua",
""
],
[
"Hu",
"Yulin",
""
],
[
"He",
"Qinwei",
""
]
] | A novel method guaranteeing nondecreasing girth is presented for constructing longer low-density parity-check (LDPC) codes from shorter ones. The parity-check matrix of a shorter base code is decomposed into N (N>=2) non-overlapping components with the same size. Then, these components are combined together to form the... |
1910.07931 | Siqi Bao | Siqi Bao, Huang He, Fan Wang, Hua Wu and Haifeng Wang | PLATO: Pre-trained Dialogue Generation Model with Discrete Latent
Variable | Accepted for publication at ACL2020. First two authors contributed
equally | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pre-training models have been proved effective for a wide range of natural
language processing tasks. Inspired by this, we propose a novel dialogue
generation pre-training framework to support various kinds of conversations,
including chit-chat, knowledge grounded dialogues, and conversational question
answering. In ... | [
{
"created": "Thu, 17 Oct 2019 14:09:42 GMT",
"version": "v1"
},
{
"created": "Thu, 7 Nov 2019 13:37:16 GMT",
"version": "v2"
},
{
"created": "Thu, 30 Apr 2020 16:06:37 GMT",
"version": "v3"
}
] | 2020-05-01 | [
[
"Bao",
"Siqi",
""
],
[
"He",
"Huang",
""
],
[
"Wang",
"Fan",
""
],
[
"Wu",
"Hua",
""
],
[
"Wang",
"Haifeng",
""
]
] | Pre-training models have been proved effective for a wide range of natural language processing tasks. Inspired by this, we propose a novel dialogue generation pre-training framework to support various kinds of conversations, including chit-chat, knowledge grounded dialogues, and conversational question answering. In th... |
0802.1296 | Dusko Pavlovic | Dusko Pavlovic | On quantum statistics in data analysis | 7 pages, Quantum Interaction 2008 (Oxford, April 2008) v3: added two
diagrams, changed some wordings | null | null | null | cs.IR math.CT quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Originally, quantum probability theory was developed to analyze statistical
phenomena in quantum systems, where classical probability theory does not
apply, because the lattice of measurable sets is not necessarily distributive.
On the other hand, it is well known that the lattices of concepts, that arise
in data ana... | [
{
"created": "Sun, 10 Feb 2008 01:42:31 GMT",
"version": "v1"
},
{
"created": "Fri, 22 Feb 2008 12:08:53 GMT",
"version": "v2"
},
{
"created": "Tue, 13 May 2008 18:46:10 GMT",
"version": "v3"
}
] | 2009-04-18 | [
[
"Pavlovic",
"Dusko",
""
]
] | Originally, quantum probability theory was developed to analyze statistical phenomena in quantum systems, where classical probability theory does not apply, because the lattice of measurable sets is not necessarily distributive. On the other hand, it is well known that the lattices of concepts, that arise in data analy... |
1909.10584 | Alexandros Psomas | Shaddin Dughmi, Rad Niazadeh, Alexandros Psomas, S. Matthew Weinberg | Persuasion and Incentives Through the Lens of Duality | null | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Lagrangian duality underlies both classical and modern mechanism design. In
particular, the dual perspective often permits simple and detail-free
characterizations of optimal and approximately optimal mechanisms. This paper
applies this same methodology to a close cousin of traditional mechanism
design, one which sha... | [
{
"created": "Mon, 23 Sep 2019 19:27:26 GMT",
"version": "v1"
}
] | 2019-09-25 | [
[
"Dughmi",
"Shaddin",
""
],
[
"Niazadeh",
"Rad",
""
],
[
"Psomas",
"Alexandros",
""
],
[
"Weinberg",
"S. Matthew",
""
]
] | Lagrangian duality underlies both classical and modern mechanism design. In particular, the dual perspective often permits simple and detail-free characterizations of optimal and approximately optimal mechanisms. This paper applies this same methodology to a close cousin of traditional mechanism design, one which share... |
2312.15626 | Shusaku Egami | Shusaku Egami, Takanori Ugai, Masateru Oota, Kyoumoto Matsushita,
Takahiro Kawamura, Kouji Kozaki, Ken Fukuda | RDF-star2Vec: RDF-star Graph Embeddings for Data Mining | 13 pages, 6 figures, and this paper has been accepted by IEEE Access | IEEE Access, Volume 11, pp.142030-142042, 2023 | 10.1109/ACCESS.2023.3341029 | null | cs.AI cs.CL cs.IR cs.LG | http://creativecommons.org/licenses/by/4.0/ | Knowledge Graphs (KGs) such as Resource Description Framework (RDF) data
represent relationships between various entities through the structure of
triples (<subject, predicate, object>). Knowledge graph embedding (KGE) is
crucial in machine learning applications, specifically in node classification
and link predictio... | [
{
"created": "Mon, 25 Dec 2023 06:32:14 GMT",
"version": "v1"
}
] | 2023-12-27 | [
[
"Egami",
"Shusaku",
""
],
[
"Ugai",
"Takanori",
""
],
[
"Oota",
"Masateru",
""
],
[
"Matsushita",
"Kyoumoto",
""
],
[
"Kawamura",
"Takahiro",
""
],
[
"Kozaki",
"Kouji",
""
],
[
"Fukuda",
"Ken",
""
]
] | Knowledge Graphs (KGs) such as Resource Description Framework (RDF) data represent relationships between various entities through the structure of triples (<subject, predicate, object>). Knowledge graph embedding (KGE) is crucial in machine learning applications, specifically in node classification and link prediction ... |
2209.15425 | Zhaokun Zhou | Zhaokun Zhou, Yuesheng Zhu, Chao He, Yaowei Wang, Shuicheng Yan,
Yonghong Tian, Li Yuan | Spikformer: When Spiking Neural Network Meets Transformer | null | null | null | null | cs.NE cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider two biologically plausible structures, the Spiking Neural Network
(SNN) and the self-attention mechanism. The former offers an energy-efficient
and event-driven paradigm for deep learning, while the latter has the ability
to capture feature dependencies, enabling Transformer to achieve good
performance. I... | [
{
"created": "Thu, 29 Sep 2022 14:16:49 GMT",
"version": "v1"
},
{
"created": "Tue, 22 Nov 2022 12:45:05 GMT",
"version": "v2"
}
] | 2022-11-23 | [
[
"Zhou",
"Zhaokun",
""
],
[
"Zhu",
"Yuesheng",
""
],
[
"He",
"Chao",
""
],
[
"Wang",
"Yaowei",
""
],
[
"Yan",
"Shuicheng",
""
],
[
"Tian",
"Yonghong",
""
],
[
"Yuan",
"Li",
""
]
] | We consider two biologically plausible structures, the Spiking Neural Network (SNN) and the self-attention mechanism. The former offers an energy-efficient and event-driven paradigm for deep learning, while the latter has the ability to capture feature dependencies, enabling Transformer to achieve good performance. It ... |
2008.04115 | Hyeonseong Jeon | Hyeonseong Jeon, Youngoh Bang, Junyaup Kim, and Simon S. Woo | T-GD: Transferable GAN-generated Images Detection Framework | ICML 2020 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advancements in Generative Adversarial Networks (GANs) enable the
generation of highly realistic images, raising concerns about their misuse for
malicious purposes. Detecting these GAN-generated images (GAN-images) becomes
increasingly challenging due to the significant reduction of underlying
artifacts and sp... | [
{
"created": "Mon, 10 Aug 2020 13:20:19 GMT",
"version": "v1"
}
] | 2020-08-11 | [
[
"Jeon",
"Hyeonseong",
""
],
[
"Bang",
"Youngoh",
""
],
[
"Kim",
"Junyaup",
""
],
[
"Woo",
"Simon S.",
""
]
] | Recent advancements in Generative Adversarial Networks (GANs) enable the generation of highly realistic images, raising concerns about their misuse for malicious purposes. Detecting these GAN-generated images (GAN-images) becomes increasingly challenging due to the significant reduction of underlying artifacts and spec... |
1911.06055 | Fernando Morales | Fernando A. Morales | The RaPID-OMEGA system: Room and Proctor Intelligent Decider for large
scale tests programming | 21 pages, 12 tables | Yugolav Journal of Operations Research, 2020 | 10.2298/YJOR191115019M | null | cs.MS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present the mathematical modeling for the problem of choosing rooms and
proctoring crews for massive tests, together with its implementation as the
open-box system RaPID-Omega. The mathematical model is a binary integer
programming problem: a combination of the 0-1 Knapsack problem and the
job-assignment problem. ... | [
{
"created": "Thu, 14 Nov 2019 12:09:31 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Nov 2019 18:59:38 GMT",
"version": "v2"
},
{
"created": "Thu, 9 Apr 2020 21:22:17 GMT",
"version": "v3"
},
{
"created": "Thu, 16 Jul 2020 14:05:28 GMT",
"version": "v4"
},
{
"cr... | 2020-08-26 | [
[
"Morales",
"Fernando A.",
""
]
] | We present the mathematical modeling for the problem of choosing rooms and proctoring crews for massive tests, together with its implementation as the open-box system RaPID-Omega. The mathematical model is a binary integer programming problem: a combination of the 0-1 Knapsack problem and the job-assignment problem. Th... |
1109.0915 | Claudia Picardi | Daniele Mundici and Claudia Picardi | Drawing Sound Conclusions from Unsound Premises | null | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given sets $\Phi_1=\{\phi_{11},...,\phi_{1u(1)}\},
...,\Phi_{z}=\{\phi_{z1},...,\phi_{zu(z)}\}$ of boolean formulas, a formula
$\omega$ follows from the conjunction $\bigwedge\Phi_i= \bigwedge \phi_{ij}$
iff $\neg \omega\wedge \bigwedge_{i=1}^z \Phi_i$ is unsatisfiable.
Now assume that, given integers $0\leq e_i < ... | [
{
"created": "Mon, 5 Sep 2011 14:37:27 GMT",
"version": "v1"
}
] | 2011-09-06 | [
[
"Mundici",
"Daniele",
""
],
[
"Picardi",
"Claudia",
""
]
] | Given sets $\Phi_1=\{\phi_{11},...,\phi_{1u(1)}\}, ...,\Phi_{z}=\{\phi_{z1},...,\phi_{zu(z)}\}$ of boolean formulas, a formula $\omega$ follows from the conjunction $\bigwedge\Phi_i= \bigwedge \phi_{ij}$ iff $\neg \omega\wedge \bigwedge_{i=1}^z \Phi_i$ is unsatisfiable. Now assume that, given integers $0\leq e_i < u(i)... |
1508.03898 | EPTCS | Julien Signoles (CEA LIST, Software Security Lab) | Software Architecture of Code Analysis Frameworks Matters: The Frama-C
Example | In Proceedings F-IDE 2015, arXiv:1508.03388 | EPTCS 187, 2015, pp. 86-96 | 10.4204/EPTCS.187.7 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Implementing large software, as software analyzers which aim to be used in
industrial settings, requires a well-engineered software architecture in order
to ease its daily development and its maintenance process during its lifecycle.
If the analyzer is not only a single tool, but an open extensible collaborative
fram... | [
{
"created": "Mon, 17 Aug 2015 01:37:20 GMT",
"version": "v1"
}
] | 2015-08-18 | [
[
"Signoles",
"Julien",
"",
"CEA LIST, Software Security Lab"
]
] | Implementing large software, as software analyzers which aim to be used in industrial settings, requires a well-engineered software architecture in order to ease its daily development and its maintenance process during its lifecycle. If the analyzer is not only a single tool, but an open extensible collaborative framew... |
2402.06669 | Luis Javier Garc\'ia Villalba | Raquel Ramos L\'opez, Ana Lucila Sandoval Orozco, Luis Javier Garc\'ia
Villalba | Compression effects and scene details on the source camera
identification of digital videos | null | Expert Systems with Applications, Vol. 170, pp. 114515, May 2021 | 10.1016/j.eswa.2020.114515 | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The continuous growth of technologies like 4G or 5G has led to a massive use
of mobile devices such as smartphones and tablets. This phenomenon, combined
with the fact that people use mobile phones for a longer period of time,
results in mobile phones becoming the main source of creation of visual
information. Howeve... | [
{
"created": "Wed, 7 Feb 2024 09:14:18 GMT",
"version": "v1"
}
] | 2024-02-14 | [
[
"López",
"Raquel Ramos",
""
],
[
"Orozco",
"Ana Lucila Sandoval",
""
],
[
"Villalba",
"Luis Javier García",
""
]
] | The continuous growth of technologies like 4G or 5G has led to a massive use of mobile devices such as smartphones and tablets. This phenomenon, combined with the fact that people use mobile phones for a longer period of time, results in mobile phones becoming the main source of creation of visual information. However,... |
2407.19928 | Alfio Lazzaro | Alfio Lazzaro | Enabling Message Passing Interface Containers on the LUMI Supercomputer | 13 pages, presented at the Nordic e-Infrastructure Collaboration
Conference (NeIC) 2024, 27-19 May 2024, Tallinn, Estonia | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Containers represent a convenient way of packing applications with
dependencies for easy user-level installation and productivity. When running on
supercomputers, it becomes crucial to optimize the containers to exploit the
performance optimizations provided by the system vendors. In this paper, we
discuss an approac... | [
{
"created": "Mon, 29 Jul 2024 12:02:00 GMT",
"version": "v1"
}
] | 2024-07-30 | [
[
"Lazzaro",
"Alfio",
""
]
] | Containers represent a convenient way of packing applications with dependencies for easy user-level installation and productivity. When running on supercomputers, it becomes crucial to optimize the containers to exploit the performance optimizations provided by the system vendors. In this paper, we discuss an approach ... |
0907.4994 | R Doomun | R.K.Pateriya, J.L.Rana, S.C. Shrivastava, Jaideep Patel | A Proposed Algorithm to improve security & Efficiency of SSL-TLS servers
using Batch RSA decryption | 5 pages, International Journal of Computer Science and Information
Security, IJCSIS, Impact Factor 0.423 | IJCSIS July 2009, Volume 3, ISSN 1947 5500 | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Today, Internet becomes the essential part of our lives. Over 90 percent of
the ecommerce is developed on the Internet. A security algorithm became very
necessary for producer client transactions assurance and the financial
applications safety. The rsa algorithm applicability derives from algorithm
properties like co... | [
{
"created": "Tue, 28 Jul 2009 20:17:04 GMT",
"version": "v1"
}
] | 2009-07-30 | [
[
"Pateriya",
"R. K.",
""
],
[
"Rana",
"J. L.",
""
],
[
"Shrivastava",
"S. C.",
""
],
[
"Patel",
"Jaideep",
""
]
] | Today, Internet becomes the essential part of our lives. Over 90 percent of the ecommerce is developed on the Internet. A security algorithm became very necessary for producer client transactions assurance and the financial applications safety. The rsa algorithm applicability derives from algorithm properties like conf... |
1911.00922 | Yuhao Su | Yuhao Su and Jie Ding | Variable Grouping Based Bayesian Additive Regression Tree | 5 pages, 3 tables | null | null | null | cs.LG eess.SP stat.ME stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Using ensemble methods for regression has been a large success in obtaining
high-accuracy prediction. Examples are Bagging, Random forest, Boosting, BART
(Bayesian additive regression tree), and their variants. In this paper, we
propose a new perspective named variable grouping to enhance the predictive
performance. ... | [
{
"created": "Sun, 3 Nov 2019 16:08:56 GMT",
"version": "v1"
},
{
"created": "Tue, 5 Nov 2019 02:16:02 GMT",
"version": "v2"
}
] | 2019-11-06 | [
[
"Su",
"Yuhao",
""
],
[
"Ding",
"Jie",
""
]
] | Using ensemble methods for regression has been a large success in obtaining high-accuracy prediction. Examples are Bagging, Random forest, Boosting, BART (Bayesian additive regression tree), and their variants. In this paper, we propose a new perspective named variable grouping to enhance the predictive performance. Th... |
2306.03535 | Nianlong Gu | Nianlong Gu, Richard H.R. Hahnloser | SciLit: A Platform for Joint Scientific Literature Discovery,
Summarization and Citation Generation | Accepted at ACL 2023 System Demonstration | null | 10.18653/v1/2023.acl-demo.22 | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Scientific writing involves retrieving, summarizing, and citing relevant
papers, which can be time-consuming processes in large and rapidly evolving
fields. By making these processes inter-operable, natural language processing
(NLP) provides opportunities for creating end-to-end assistive writing tools.
We propose Sc... | [
{
"created": "Tue, 6 Jun 2023 09:34:45 GMT",
"version": "v1"
},
{
"created": "Mon, 6 Nov 2023 15:53:23 GMT",
"version": "v2"
}
] | 2023-11-07 | [
[
"Gu",
"Nianlong",
""
],
[
"Hahnloser",
"Richard H. R.",
""
]
] | Scientific writing involves retrieving, summarizing, and citing relevant papers, which can be time-consuming processes in large and rapidly evolving fields. By making these processes inter-operable, natural language processing (NLP) provides opportunities for creating end-to-end assistive writing tools. We propose SciL... |
0811.0731 | Romain Couillet | Romain Couillet, Merouane Debbah | Cognitive OFDM network sensing: a free probability approach | 12 pages, 10 figures, 2 tables | null | null | null | cs.IT cs.AI math.IT math.PR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, a practical power detection scheme for OFDM terminals, based
on recent free probability tools, is proposed. The objective is for the
receiving terminal to determine the transmission power and the number of the
surrounding base stations in the network. However, thesystem dimensions of the
network model ... | [
{
"created": "Wed, 5 Nov 2008 14:34:23 GMT",
"version": "v1"
},
{
"created": "Tue, 25 Nov 2008 19:05:04 GMT",
"version": "v2"
}
] | 2008-11-25 | [
[
"Couillet",
"Romain",
""
],
[
"Debbah",
"Merouane",
""
]
] | In this paper, a practical power detection scheme for OFDM terminals, based on recent free probability tools, is proposed. The objective is for the receiving terminal to determine the transmission power and the number of the surrounding base stations in the network. However, thesystem dimensions of the network model tu... |
2405.05347 | Juho Leinonen | Charles Koutcheme, Nicola Dainese, Sami Sarsa, Juho Leinonen, Arto
Hellas, Paul Denny | Benchmarking Educational Program Repair | 15 pages, 2 figures, 3 tables. Non-archival report presented at the
NeurIPS'23 Workshop on Generative AI for Education (GAIED) | null | null | null | cs.SE cs.AI cs.CL cs.CY | http://creativecommons.org/licenses/by/4.0/ | The emergence of large language models (LLMs) has sparked enormous interest
due to their potential application across a range of educational tasks. For
example, recent work in programming education has used LLMs to generate
learning resources, improve error messages, and provide feedback on code.
However, one factor ... | [
{
"created": "Wed, 8 May 2024 18:23:59 GMT",
"version": "v1"
}
] | 2024-05-10 | [
[
"Koutcheme",
"Charles",
""
],
[
"Dainese",
"Nicola",
""
],
[
"Sarsa",
"Sami",
""
],
[
"Leinonen",
"Juho",
""
],
[
"Hellas",
"Arto",
""
],
[
"Denny",
"Paul",
""
]
] | The emergence of large language models (LLMs) has sparked enormous interest due to their potential application across a range of educational tasks. For example, recent work in programming education has used LLMs to generate learning resources, improve error messages, and provide feedback on code. However, one factor th... |
2305.18119 | Yibo Guo | Yibo Guo and Mingxin Li and Jingting Zong and Mingliang Xu | Emergent Incident Response for Unmanned Warehouses with Multi-agent
Systems* | 13 pages, 7 figures | null | null | null | cs.RO cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Unmanned warehouses are an important part of logistics, and improving their
operational efficiency can effectively enhance service efficiency. However, due
to the complexity of unmanned warehouse systems and their susceptibility to
errors, incidents may occur during their operation, most often in inbound and
outbound... | [
{
"created": "Mon, 29 May 2023 14:30:35 GMT",
"version": "v1"
}
] | 2023-05-30 | [
[
"Guo",
"Yibo",
""
],
[
"Li",
"Mingxin",
""
],
[
"Zong",
"Jingting",
""
],
[
"Xu",
"Mingliang",
""
]
] | Unmanned warehouses are an important part of logistics, and improving their operational efficiency can effectively enhance service efficiency. However, due to the complexity of unmanned warehouse systems and their susceptibility to errors, incidents may occur during their operation, most often in inbound and outbound o... |
2207.11088 | Xin Zhou Dr. | Xin Zhou, Donghui Lin, Yong Liu, Chunyan Miao | Layer-refined Graph Convolutional Networks for Recommendation | Accepted as a research track paper in ICDE 2023 | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recommendation models utilizing Graph Convolutional Networks (GCNs) have
achieved state-of-the-art performance, as they can integrate both the node
information and the topological structure of the user-item interaction graph.
However, these GCN-based recommendation models not only suffer from
over-smoothing when stac... | [
{
"created": "Fri, 22 Jul 2022 13:54:59 GMT",
"version": "v1"
},
{
"created": "Fri, 25 Nov 2022 00:57:32 GMT",
"version": "v2"
}
] | 2022-11-28 | [
[
"Zhou",
"Xin",
""
],
[
"Lin",
"Donghui",
""
],
[
"Liu",
"Yong",
""
],
[
"Miao",
"Chunyan",
""
]
] | Recommendation models utilizing Graph Convolutional Networks (GCNs) have achieved state-of-the-art performance, as they can integrate both the node information and the topological structure of the user-item interaction graph. However, these GCN-based recommendation models not only suffer from over-smoothing when stacki... |
2002.07444 | Vladimir Podolskii | Alexander Kozachinskiy and Vladimir Podolskii | Multiparty Karchmer-Wigderson Games and Threshold Circuits | null | null | null | null | cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We suggest a generalization of Karchmer-Wigderson communication games to the
multiparty setting. Our generalization turns out to be tightly connected to
circuits consisting of threshold gates. This allows us to obtain new explicit
constructions of such circuits for several functions. In particular, we provide
an expl... | [
{
"created": "Tue, 18 Feb 2020 09:31:00 GMT",
"version": "v1"
}
] | 2020-02-19 | [
[
"Kozachinskiy",
"Alexander",
""
],
[
"Podolskii",
"Vladimir",
""
]
] | We suggest a generalization of Karchmer-Wigderson communication games to the multiparty setting. Our generalization turns out to be tightly connected to circuits consisting of threshold gates. This allows us to obtain new explicit constructions of such circuits for several functions. In particular, we provide an explic... |
2006.05850 | Alessandro Epasto | Michele Borassi, Alessandro Epasto, Silvio Lattanzi, Sergei
Vassilvitskii, Morteza Zadimoghaddam | Sliding Window Algorithms for k-Clustering Problems | 43 pages, 7 figures | In Proceedings of the 34th Conference on Neural Information
Processing Systems (NeurIPS 2020) | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The sliding window model of computation captures scenarios in which data is
arriving continuously, but only the latest $w$ elements should be used for
analysis. The goal is to design algorithms that update the solution efficiently
with each arrival rather than recomputing it from scratch. In this work, we
focus on $k... | [
{
"created": "Wed, 10 Jun 2020 14:26:57 GMT",
"version": "v1"
},
{
"created": "Fri, 23 Oct 2020 14:20:27 GMT",
"version": "v2"
}
] | 2020-10-26 | [
[
"Borassi",
"Michele",
""
],
[
"Epasto",
"Alessandro",
""
],
[
"Lattanzi",
"Silvio",
""
],
[
"Vassilvitskii",
"Sergei",
""
],
[
"Zadimoghaddam",
"Morteza",
""
]
] | The sliding window model of computation captures scenarios in which data is arriving continuously, but only the latest $w$ elements should be used for analysis. The goal is to design algorithms that update the solution efficiently with each arrival rather than recomputing it from scratch. In this work, we focus on $k$-... |
1511.05122 | Sara Sabour | Sara Sabour, Yanshuai Cao, Fartash Faghri, David J. Fleet | Adversarial Manipulation of Deep Representations | Accepted as a conference paper at ICLR 2016 | null | null | null | cs.CV cs.LG cs.NE | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We show that the representation of an image in a deep neural network (DNN)
can be manipulated to mimic those of other natural images, with only minor,
imperceptible perturbations to the original image. Previous methods for
generating adversarial images focused on image perturbations designed to
produce erroneous clas... | [
{
"created": "Mon, 16 Nov 2015 20:48:20 GMT",
"version": "v1"
},
{
"created": "Thu, 19 Nov 2015 21:00:44 GMT",
"version": "v2"
},
{
"created": "Mon, 23 Nov 2015 20:56:44 GMT",
"version": "v3"
},
{
"created": "Fri, 11 Dec 2015 21:03:14 GMT",
"version": "v4"
},
{
"c... | 2016-03-07 | [
[
"Sabour",
"Sara",
""
],
[
"Cao",
"Yanshuai",
""
],
[
"Faghri",
"Fartash",
""
],
[
"Fleet",
"David J.",
""
]
] | We show that the representation of an image in a deep neural network (DNN) can be manipulated to mimic those of other natural images, with only minor, imperceptible perturbations to the original image. Previous methods for generating adversarial images focused on image perturbations designed to produce erroneous class ... |
2103.00809 | Renshuai Tao | Renshuai Tao, Yanlu Wei, Hainan Li, Aishan Liu, Yifu Ding, Haotong Qin
and Xianglong Liu | Over-sampling De-occlusion Attention Network for Prohibited Items
Detection in Noisy X-ray Images | 13 pages, 7 figures | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Security inspection is X-ray scanning for personal belongings in suitcases,
which is significantly important for the public security but highly
time-consuming for human inspectors. Fortunately, deep learning has greatly
promoted the development of computer vision, offering a possible way of
automatic security inspect... | [
{
"created": "Mon, 1 Mar 2021 07:17:37 GMT",
"version": "v1"
}
] | 2021-03-02 | [
[
"Tao",
"Renshuai",
""
],
[
"Wei",
"Yanlu",
""
],
[
"Li",
"Hainan",
""
],
[
"Liu",
"Aishan",
""
],
[
"Ding",
"Yifu",
""
],
[
"Qin",
"Haotong",
""
],
[
"Liu",
"Xianglong",
""
]
] | Security inspection is X-ray scanning for personal belongings in suitcases, which is significantly important for the public security but highly time-consuming for human inspectors. Fortunately, deep learning has greatly promoted the development of computer vision, offering a possible way of automatic security inspectio... |
1004.4458 | William Jackson | P.V.Hunagund and A.B.Kalpana | Crosstalk Noise Modeling for RC and RLC interconnects in Deep Submicron
VLSI Circuits | Journal of Computing online at
https://sites.google.com/site/journalofcomputing/ | Journal of Computing, Volume 2, Issue 4, April 2010 | null | null | cs.OH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The crosstalk noise model for noise constrained interconnects optimization is
presented for RC interconnects. The proposed model has simple closed-form
expressions, which is capable of predicting the noise amplitude and the noise
pulse width of an RC interconnect as well as coupling locations (near-driver
and near-re... | [
{
"created": "Mon, 26 Apr 2010 10:00:05 GMT",
"version": "v1"
}
] | 2010-04-27 | [
[
"Hunagund",
"P. V.",
""
],
[
"Kalpana",
"A. B.",
""
]
] | The crosstalk noise model for noise constrained interconnects optimization is presented for RC interconnects. The proposed model has simple closed-form expressions, which is capable of predicting the noise amplitude and the noise pulse width of an RC interconnect as well as coupling locations (near-driver and near-rece... |
2012.02334 | Yaofeng Desmond Zhong | Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty | Benchmarking Energy-Conserving Neural Networks for Learning Dynamics
from Data | null | null | null | null | cs.LG cs.AI cs.SY eess.SY math.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The last few years have witnessed an increased interest in incorporating
physics-informed inductive bias in deep learning frameworks. In particular, a
growing volume of literature has been exploring ways to enforce energy
conservation while using neural networks for learning dynamics from observed
time-series data. I... | [
{
"created": "Thu, 3 Dec 2020 23:53:08 GMT",
"version": "v1"
},
{
"created": "Wed, 30 Dec 2020 18:34:04 GMT",
"version": "v2"
},
{
"created": "Fri, 26 Feb 2021 18:13:21 GMT",
"version": "v3"
},
{
"created": "Tue, 18 May 2021 19:24:55 GMT",
"version": "v4"
},
{
"cr... | 2023-05-02 | [
[
"Zhong",
"Yaofeng Desmond",
""
],
[
"Dey",
"Biswadip",
""
],
[
"Chakraborty",
"Amit",
""
]
] | The last few years have witnessed an increased interest in incorporating physics-informed inductive bias in deep learning frameworks. In particular, a growing volume of literature has been exploring ways to enforce energy conservation while using neural networks for learning dynamics from observed time-series data. In ... |
2405.15860 | Chak Fong Chong | Chak Fong Chong, Jielong Guo, Xu Yang, Wei Ke, Yapeng Wang | Free Performance Gain from Mixing Multiple Partially Labeled Samples in
Multi-label Image Classification | null | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multi-label image classification datasets are often partially labeled where
many labels are missing, posing a significant challenge to training accurate
deep classifiers. However, the powerful Mixup sample-mixing data augmentation
cannot be well utilized to address this challenge, as it cannot perform linear
interpol... | [
{
"created": "Fri, 24 May 2024 18:05:09 GMT",
"version": "v1"
}
] | 2024-05-28 | [
[
"Chong",
"Chak Fong",
""
],
[
"Guo",
"Jielong",
""
],
[
"Yang",
"Xu",
""
],
[
"Ke",
"Wei",
""
],
[
"Wang",
"Yapeng",
""
]
] | Multi-label image classification datasets are often partially labeled where many labels are missing, posing a significant challenge to training accurate deep classifiers. However, the powerful Mixup sample-mixing data augmentation cannot be well utilized to address this challenge, as it cannot perform linear interpolat... |
2104.13048 | Zelin Zang | Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li | Unsupervised Deep Manifold Attributed Graph Embedding | arXiv admin note: text overlap with arXiv:2007.01594 by other authors | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Unsupervised attributed graph representation learning is challenging since
both structural and feature information are required to be represented in the
latent space. Existing methods concentrate on learning latent representation
via reconstruction tasks, but cannot directly optimize representation and are
prone to o... | [
{
"created": "Tue, 27 Apr 2021 08:47:39 GMT",
"version": "v1"
}
] | 2021-04-28 | [
[
"Zang",
"Zelin",
""
],
[
"Li",
"Siyuan",
""
],
[
"Wu",
"Di",
""
],
[
"Guo",
"Jianzhu",
""
],
[
"Xu",
"Yongjie",
""
],
[
"Li",
"Stan Z.",
""
]
] | Unsupervised attributed graph representation learning is challenging since both structural and feature information are required to be represented in the latent space. Existing methods concentrate on learning latent representation via reconstruction tasks, but cannot directly optimize representation and are prone to ove... |
2406.00842 | Ori Ernst | Ori Ernst, Ori Shapira, Aviv Slobodkin, Sharon Adar, Mohit Bansal,
Jacob Goldberger, Ran Levy, and Ido Dagan | The Power of Summary-Source Alignments | Accepted to ACL-Findings 2024 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multi-document summarization (MDS) is a challenging task, often decomposed to
subtasks of salience and redundancy detection, followed by text generation. In
this context, alignment of corresponding sentences between a reference summary
and its source documents has been leveraged to generate training data for some
of ... | [
{
"created": "Sun, 2 Jun 2024 19:35:19 GMT",
"version": "v1"
}
] | 2024-06-04 | [
[
"Ernst",
"Ori",
""
],
[
"Shapira",
"Ori",
""
],
[
"Slobodkin",
"Aviv",
""
],
[
"Adar",
"Sharon",
""
],
[
"Bansal",
"Mohit",
""
],
[
"Goldberger",
"Jacob",
""
],
[
"Levy",
"Ran",
""
],
[
"Dagan",
... | Multi-document summarization (MDS) is a challenging task, often decomposed to subtasks of salience and redundancy detection, followed by text generation. In this context, alignment of corresponding sentences between a reference summary and its source documents has been leveraged to generate training data for some of th... |
1311.5871 | Fabien Lauer | Fabien Lauer (LORIA), Henrik Ohlsson | Finding sparse solutions of systems of polynomial equations via
group-sparsity optimization | Journal of Global Optimization (2014) to appear | null | null | null | cs.IT cs.LG math.IT math.OC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The paper deals with the problem of finding sparse solutions to systems of
polynomial equations possibly perturbed by noise. In particular, we show how
these solutions can be recovered from group-sparse solutions of a derived
system of linear equations. Then, two approaches are considered to find these
group-sparse s... | [
{
"created": "Fri, 22 Nov 2013 20:29:38 GMT",
"version": "v1"
},
{
"created": "Wed, 16 Jul 2014 15:47:44 GMT",
"version": "v2"
}
] | 2014-07-17 | [
[
"Lauer",
"Fabien",
"",
"LORIA"
],
[
"Ohlsson",
"Henrik",
""
]
] | The paper deals with the problem of finding sparse solutions to systems of polynomial equations possibly perturbed by noise. In particular, we show how these solutions can be recovered from group-sparse solutions of a derived system of linear equations. Then, two approaches are considered to find these group-sparse sol... |
0709.3586 | Fabrice Rossi | A\"icha El Golli (INRIA Rocquencourt / INRIA Sophia Antipolis),
Fabrice Rossi (INRIA Rocquencourt / INRIA Sophia Antipolis), Brieuc
Conan-Guez (LITA), Yves Lechevallier (INRIA Rocquencourt / INRIA Sophia
Antipolis) | Une adaptation des cartes auto-organisatrices pour des donn\'ees
d\'ecrites par un tableau de dissimilarit\'es | null | Revue de Statistique Appliqu\'ee LIV, 3 (2006) 33-64 | null | null | cs.NE cs.LG | null | Many data analysis methods cannot be applied to data that are not represented
by a fixed number of real values, whereas most of real world observations are
not readily available in such a format. Vector based data analysis methods have
therefore to be adapted in order to be used with non standard complex data. A
flex... | [
{
"created": "Sat, 22 Sep 2007 15:53:54 GMT",
"version": "v1"
}
] | 2007-09-25 | [
[
"Golli",
"Aïcha El",
"",
"INRIA Rocquencourt / INRIA Sophia Antipolis"
],
[
"Rossi",
"Fabrice",
"",
"INRIA Rocquencourt / INRIA Sophia Antipolis"
],
[
"Conan-Guez",
"Brieuc",
"",
"LITA"
],
[
"Lechevallier",
"Yves",
"",
"INRIA Rocquencourt... | Many data analysis methods cannot be applied to data that are not represented by a fixed number of real values, whereas most of real world observations are not readily available in such a format. Vector based data analysis methods have therefore to be adapted in order to be used with non standard complex data. A flexib... |
2304.04094 | Omar Maraqa | Omar Maraqa, Saad Al-Ahmadi, Aditya Rajasekaran, Hamza Sokun, Halim
Yanikomeroglu, Sadiq M. Sait | Energy-Efficient Optimization of Multi-User NOMA-Assisted Cooperative
THz-SIMO MEC Systems | Accepted for publication in IEEE Transactions on Communications | null | 10.1109/TCOMM.2023.3265123 | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The various requirements in terms of data rates and latency in beyond 5G and
6G networks have motivated the integration of a variety of communications
schemes and technologies to meet these requirements in such networks. Among
these schemes are Terahertz (THz) communications, cooperative non-orthogonal
multiple-acces... | [
{
"created": "Sat, 8 Apr 2023 20:04:39 GMT",
"version": "v1"
}
] | 2023-04-11 | [
[
"Maraqa",
"Omar",
""
],
[
"Al-Ahmadi",
"Saad",
""
],
[
"Rajasekaran",
"Aditya",
""
],
[
"Sokun",
"Hamza",
""
],
[
"Yanikomeroglu",
"Halim",
""
],
[
"Sait",
"Sadiq M.",
""
]
] | The various requirements in terms of data rates and latency in beyond 5G and 6G networks have motivated the integration of a variety of communications schemes and technologies to meet these requirements in such networks. Among these schemes are Terahertz (THz) communications, cooperative non-orthogonal multiple-access ... |
2211.12923 | Kevin Batz | Kevin Batz, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Christoph
Matheja, Lena Verscht | A Calculus for Amortized Expected Runtimes | null | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We develop a weakest-precondition-style calculus \`a la Dijkstra for
reasoning about amortized expected runtimes of randomized algorithms with
access to dynamic memory - the $\textsf{aert}$ calculus. Our calculus is truly
quantitative, i.e. instead of Boolean valued predicates, it manipulates
real-valued functions.
... | [
{
"created": "Wed, 23 Nov 2022 12:55:14 GMT",
"version": "v1"
}
] | 2022-11-24 | [
[
"Batz",
"Kevin",
""
],
[
"Kaminski",
"Benjamin Lucien",
""
],
[
"Katoen",
"Joost-Pieter",
""
],
[
"Matheja",
"Christoph",
""
],
[
"Verscht",
"Lena",
""
]
] | We develop a weakest-precondition-style calculus \`a la Dijkstra for reasoning about amortized expected runtimes of randomized algorithms with access to dynamic memory - the $\textsf{aert}$ calculus. Our calculus is truly quantitative, i.e. instead of Boolean valued predicates, it manipulates real-valued functions. En ... |
2109.06896 | Chao-Chun Hsu | Chao-Chun Hsu and Chenhao Tan | Decision-Focused Summarization | 16 pages, 10 figures, EMNLP 2021, code is available at
https://github.com/ChicagoHAI/decsum | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Relevance in summarization is typically defined based on textual information
alone, without incorporating insights about a particular decision. As a result,
to support risk analysis of pancreatic cancer, summaries of medical notes may
include irrelevant information such as a knee injury. We propose a novel
problem, d... | [
{
"created": "Tue, 14 Sep 2021 18:00:14 GMT",
"version": "v1"
}
] | 2021-09-16 | [
[
"Hsu",
"Chao-Chun",
""
],
[
"Tan",
"Chenhao",
""
]
] | Relevance in summarization is typically defined based on textual information alone, without incorporating insights about a particular decision. As a result, to support risk analysis of pancreatic cancer, summaries of medical notes may include irrelevant information such as a knee injury. We propose a novel problem, dec... |
2405.11437 | Fadila Douamba Wendigoundi | Fadila Wendigoundi Douamba, Jianjun Song, Ling Fu, Yuliang Liu and
Xiang Bai | The First Swahili Language Scene Text Detection and Recognition Dataset | Accepted to ICDAR 2024 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Scene text recognition is essential in many applications, including automated
translation, information retrieval, driving assistance, and enhancing
accessibility for individuals with visual impairments. Much research has been
done to improve the accuracy and performance of scene text detection and
recognition models.... | [
{
"created": "Sun, 19 May 2024 03:55:02 GMT",
"version": "v1"
}
] | 2024-05-21 | [
[
"Douamba",
"Fadila Wendigoundi",
""
],
[
"Song",
"Jianjun",
""
],
[
"Fu",
"Ling",
""
],
[
"Liu",
"Yuliang",
""
],
[
"Bai",
"Xiang",
""
]
] | Scene text recognition is essential in many applications, including automated translation, information retrieval, driving assistance, and enhancing accessibility for individuals with visual impairments. Much research has been done to improve the accuracy and performance of scene text detection and recognition models. H... |
2302.05703 | Piush Aggarwal | Piush Aggarwal, Pranit Chawla, Mithun Das, Punyajoy Saha, Binny
Mathew, Torsten Zesch, Animesh Mukherjee | HateProof: Are Hateful Meme Detection Systems really Robust? | Accepted at TheWebConf'2023 (WWW'2023) | null | 10.1145/3543507.3583356 | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Exploiting social media to spread hate has tremendously increased over the
years. Lately, multi-modal hateful content such as memes has drawn relatively
more traction than uni-modal content. Moreover, the availability of implicit
content payloads makes them fairly challenging to be detected by existing
hateful meme d... | [
{
"created": "Sat, 11 Feb 2023 14:36:11 GMT",
"version": "v1"
}
] | 2023-02-14 | [
[
"Aggarwal",
"Piush",
""
],
[
"Chawla",
"Pranit",
""
],
[
"Das",
"Mithun",
""
],
[
"Saha",
"Punyajoy",
""
],
[
"Mathew",
"Binny",
""
],
[
"Zesch",
"Torsten",
""
],
[
"Mukherjee",
"Animesh",
""
]
] | Exploiting social media to spread hate has tremendously increased over the years. Lately, multi-modal hateful content such as memes has drawn relatively more traction than uni-modal content. Moreover, the availability of implicit content payloads makes them fairly challenging to be detected by existing hateful meme det... |
2005.01923 | Muhammad Ali Farooq | Muhammad Ali Farooq and Peter Corcoran | Generating Thermal Image Data Samples using 3D Facial Modelling
Techniques and Deep Learning Methodologies | Paper accpeted in QOMEX IEEE 2020 Conference copyright submitted to
IEEE | null | 10.1109/QoMEX48832.2020.9123079 | null | cs.CV cs.LG eess.IV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Methods for generating synthetic data have become of increasing importance to
build large datasets required for Convolution Neural Networks (CNN) based deep
learning techniques for a wide range of computer vision applications. In this
work, we extend existing methodologies to show how 2D thermal facial data can
be ma... | [
{
"created": "Tue, 5 May 2020 02:55:14 GMT",
"version": "v1"
},
{
"created": "Thu, 7 May 2020 11:02:04 GMT",
"version": "v2"
}
] | 2020-09-02 | [
[
"Farooq",
"Muhammad Ali",
""
],
[
"Corcoran",
"Peter",
""
]
] | Methods for generating synthetic data have become of increasing importance to build large datasets required for Convolution Neural Networks (CNN) based deep learning techniques for a wide range of computer vision applications. In this work, we extend existing methodologies to show how 2D thermal facial data can be mapp... |
2010.10852 | Huy Quoc To | Huy Quoc To, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen, Anh Gia-Tuan
Nguyen | Gender Prediction Based on Vietnamese Names with Machine Learning
Techniques | 6 pages, 6 figures. NLPIR 2020: 4th International Conference on
Natural Language Processing and Information Retrieval | null | 10.1145/3443279.3443309 | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | As biological gender is one of the aspects of presenting individual human,
much work has been done on gender classification based on people names. The
proposals for English and Chinese languages are tremendous; still, there have
been few works done for Vietnamese so far. We propose a new dataset for gender
prediction... | [
{
"created": "Wed, 21 Oct 2020 09:25:48 GMT",
"version": "v1"
},
{
"created": "Thu, 22 Oct 2020 02:21:32 GMT",
"version": "v2"
},
{
"created": "Tue, 27 Oct 2020 01:29:35 GMT",
"version": "v3"
},
{
"created": "Tue, 23 Mar 2021 07:25:00 GMT",
"version": "v4"
}
] | 2021-03-24 | [
[
"To",
"Huy Quoc",
""
],
[
"Van Nguyen",
"Kiet",
""
],
[
"Nguyen",
"Ngan Luu-Thuy",
""
],
[
"Nguyen",
"Anh Gia-Tuan",
""
]
] | As biological gender is one of the aspects of presenting individual human, much work has been done on gender classification based on people names. The proposals for English and Chinese languages are tremendous; still, there have been few works done for Vietnamese so far. We propose a new dataset for gender prediction b... |
2405.14664 | Oscar Davis | Oscar Davis, Samuel Kessler, Mircea Petrache, \.Ismail \.Ilkan Ceylan,
Michael Bronstein, Avishek Joey Bose | Fisher Flow Matching for Generative Modeling over Discrete Data | Preprint, Under Review | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Generative modeling over discrete data has recently seen numerous success
stories, with applications spanning language modeling, biological sequence
design, and graph-structured molecular data. The predominant generative
modeling paradigm for discrete data is still autoregressive, with more recent
alternatives based ... | [
{
"created": "Thu, 23 May 2024 15:02:11 GMT",
"version": "v1"
},
{
"created": "Fri, 24 May 2024 20:21:17 GMT",
"version": "v2"
},
{
"created": "Tue, 28 May 2024 20:18:16 GMT",
"version": "v3"
}
] | 2024-05-30 | [
[
"Davis",
"Oscar",
""
],
[
"Kessler",
"Samuel",
""
],
[
"Petrache",
"Mircea",
""
],
[
"Ceylan",
"İsmail İlkan",
""
],
[
"Bronstein",
"Michael",
""
],
[
"Bose",
"Avishek Joey",
""
]
] | Generative modeling over discrete data has recently seen numerous success stories, with applications spanning language modeling, biological sequence design, and graph-structured molecular data. The predominant generative modeling paradigm for discrete data is still autoregressive, with more recent alternatives based on... |
cs/0405107 | Carlos Ches\~nevar | Carlos Iv\'an Ches\~nevar and Guillermo Ricardo Simari | A Framework for Combining Defeasible Argumentation with Labeled
Deduction | 15 pages, presented at CMSRA Workshop 2003. Buenos Aires, Argentina | In "Computer Modeling of Scientific Reasoning" (C.Delrieux,
J.Legris, Eds.). Pp. 43-56, Ed. Ediuns, Argentina, 2003. ISBN 987-89281-89-6 | null | null | cs.AI cs.SC | null | In the last years, there has been an increasing demand of a variety of
logical systems, prompted mostly by applications of logic in AI and other
related areas. Labeled Deductive Systems (LDS) were developed as a flexible
methodology to formalize such a kind of complex logical systems. Defeasible
argumentation has pro... | [
{
"created": "Thu, 27 May 2004 18:54:31 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Chesñevar",
"Carlos Iván",
""
],
[
"Simari",
"Guillermo Ricardo",
""
]
] | In the last years, there has been an increasing demand of a variety of logical systems, prompted mostly by applications of logic in AI and other related areas. Labeled Deductive Systems (LDS) were developed as a flexible methodology to formalize such a kind of complex logical systems. Defeasible argumentation has prove... |
2003.02645 | Micha Livne | Micha Livne, Kevin Swersky, David J. Fleet | SentenceMIM: A Latent Variable Language Model | Preprint. Demo: https://github.com/seraphlabs-ca/SentenceMIM-demo | null | null | null | cs.CL cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | SentenceMIM is a probabilistic auto-encoder for language data, trained with
Mutual Information Machine (MIM) learning to provide a fixed length
representation of variable length language observations (i.e., similar to VAE).
Previous attempts to learn VAEs for language data faced challenges due to
posterior collapse. ... | [
{
"created": "Tue, 18 Feb 2020 15:34:29 GMT",
"version": "v1"
},
{
"created": "Fri, 6 Mar 2020 02:41:29 GMT",
"version": "v2"
},
{
"created": "Mon, 8 Feb 2021 15:20:13 GMT",
"version": "v3"
},
{
"created": "Sun, 14 Feb 2021 11:24:11 GMT",
"version": "v4"
},
{
"cre... | 2021-04-23 | [
[
"Livne",
"Micha",
""
],
[
"Swersky",
"Kevin",
""
],
[
"Fleet",
"David J.",
""
]
] | SentenceMIM is a probabilistic auto-encoder for language data, trained with Mutual Information Machine (MIM) learning to provide a fixed length representation of variable length language observations (i.e., similar to VAE). Previous attempts to learn VAEs for language data faced challenges due to posterior collapse. MI... |
1608.05177 | Youbao Tang | Youbao Tang, Xiangqian Wu, and Wei Bu | Deeply-Supervised Recurrent Convolutional Neural Network for Saliency
Detection | 5 pages, 5 figures, accepted by ACMMM 2016 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a novel saliency detection method by developing a
deeply-supervised recurrent convolutional neural network (DSRCNN), which
performs a full image-to-image saliency prediction. For saliency detection, the
local, global, and contextual information of salient objects is important to
obtain a high qual... | [
{
"created": "Thu, 18 Aug 2016 05:08:16 GMT",
"version": "v1"
}
] | 2016-08-19 | [
[
"Tang",
"Youbao",
""
],
[
"Wu",
"Xiangqian",
""
],
[
"Bu",
"Wei",
""
]
] | This paper proposes a novel saliency detection method by developing a deeply-supervised recurrent convolutional neural network (DSRCNN), which performs a full image-to-image saliency prediction. For saliency detection, the local, global, and contextual information of salient objects is important to obtain a high qualit... |
1407.4903 | Yutao Ma | Zhi Wang, Bing Li, Yutao Ma | An Analysis of Research in Software Engineering: Assessment and Trends | 25 pages, 10 figures, 3 tables | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Glass published the first report on the assessment of systems and software
engineering scholars and institutions two decades ago. The ongoing, annual
survey of publications in this field provides fund managers, young scholars,
graduate students, etc. with useful information for different purposes.
However, the studie... | [
{
"created": "Fri, 18 Jul 2014 07:50:52 GMT",
"version": "v1"
}
] | 2014-07-21 | [
[
"Wang",
"Zhi",
""
],
[
"Li",
"Bing",
""
],
[
"Ma",
"Yutao",
""
]
] | Glass published the first report on the assessment of systems and software engineering scholars and institutions two decades ago. The ongoing, annual survey of publications in this field provides fund managers, young scholars, graduate students, etc. with useful information for different purposes. However, the studies ... |
2006.03857 | Yu Yang | Yu Yang, Zhiyuan Wen, Jiannong Cao, Jiaxing Shen, Hongzhi Yin and
Xiaofang Zhou | EPARS: Early Prediction of At-risk Students with Online and Offline
Learning Behaviors | To be published in DASFAA 2020 | null | null | null | cs.AI cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Early prediction of students at risk (STAR) is an effective and significant
means to provide timely intervention for dropout and suicide. Existing works
mostly rely on either online or offline learning behaviors which are not
comprehensive enough to capture the whole learning processes and lead to
unsatisfying predic... | [
{
"created": "Sat, 6 Jun 2020 12:56:26 GMT",
"version": "v1"
}
] | 2020-06-09 | [
[
"Yang",
"Yu",
""
],
[
"Wen",
"Zhiyuan",
""
],
[
"Cao",
"Jiannong",
""
],
[
"Shen",
"Jiaxing",
""
],
[
"Yin",
"Hongzhi",
""
],
[
"Zhou",
"Xiaofang",
""
]
] | Early prediction of students at risk (STAR) is an effective and significant means to provide timely intervention for dropout and suicide. Existing works mostly rely on either online or offline learning behaviors which are not comprehensive enough to capture the whole learning processes and lead to unsatisfying predicti... |
2405.12197 | Banafsheh Saber Latibari | Banafsheh Saber Latibari, Sujan Ghimire, Muhtasim Alam Chowdhury,
Najmeh Nazari, Kevin Immanuel Gubbi, Houman Homayoun, Avesta Sasan, Soheil
Salehi | Automated Hardware Logic Obfuscation Framework Using GPT | null | null | null | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | Obfuscation stands as a promising solution for safeguarding hardware
intellectual property (IP) against a spectrum of threats including reverse
engineering, IP piracy, and tampering. In this paper, we introduce Obfus-chat,
a novel framework leveraging Generative Pre-trained Transformer (GPT) models to
automate the ob... | [
{
"created": "Mon, 20 May 2024 17:33:00 GMT",
"version": "v1"
}
] | 2024-05-21 | [
[
"Latibari",
"Banafsheh Saber",
""
],
[
"Ghimire",
"Sujan",
""
],
[
"Chowdhury",
"Muhtasim Alam",
""
],
[
"Nazari",
"Najmeh",
""
],
[
"Gubbi",
"Kevin Immanuel",
""
],
[
"Homayoun",
"Houman",
""
],
[
"Sasan",
"Av... | Obfuscation stands as a promising solution for safeguarding hardware intellectual property (IP) against a spectrum of threats including reverse engineering, IP piracy, and tampering. In this paper, we introduce Obfus-chat, a novel framework leveraging Generative Pre-trained Transformer (GPT) models to automate the obfu... |
1311.6839 | Marcus Schaefer | Marcus Schaefer | Picking Planar Edges; or, Drawing a Graph with a Planar Subgraph | null | null | null | null | cs.CG cs.DM math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given a graph $G$ and a subset $F \subseteq E(G)$ of its edges, is there a
drawing of $G$ in which all edges of $F$ are free of crossings? We show that
this question can be solved in polynomial time using a Hanani-Tutte style
approach. If we require the drawing of $G$ to be straight-line, and allow at
most one crossi... | [
{
"created": "Tue, 26 Nov 2013 22:57:53 GMT",
"version": "v1"
}
] | 2013-11-29 | [
[
"Schaefer",
"Marcus",
""
]
] | Given a graph $G$ and a subset $F \subseteq E(G)$ of its edges, is there a drawing of $G$ in which all edges of $F$ are free of crossings? We show that this question can be solved in polynomial time using a Hanani-Tutte style approach. If we require the drawing of $G$ to be straight-line, and allow at most one crossing... |
1604.03698 | Shinya Sugiura | Takumi Ishihara and Shinya Sugiura | Frequency-domain equalization aided iterative detection of
faster-than-Nyquist signaling with noise whitening | 6 pages, 6 figures; IEEE International Conference on Communications
(ICC) 2016, Kuala Lumpur, Malaysia | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a serially concatenated turbo-encoded
faster-than-Nyquist signaling (FTNS) transceiver that takes into account
FTNS-specific colored noise effects. The proposed low-complexity receiver
carries out soft-decision frequency-domain equalization with the aid of the
minimum-mean square error crite... | [
{
"created": "Wed, 13 Apr 2016 09:07:42 GMT",
"version": "v1"
}
] | 2016-04-14 | [
[
"Ishihara",
"Takumi",
""
],
[
"Sugiura",
"Shinya",
""
]
] | In this paper, we propose a serially concatenated turbo-encoded faster-than-Nyquist signaling (FTNS) transceiver that takes into account FTNS-specific colored noise effects. The proposed low-complexity receiver carries out soft-decision frequency-domain equalization with the aid of the minimum-mean square error criteri... |
2208.06569 | Emon Dey | Emon Dey, Jumman Hossain, Nirmalya Roy, Carl Busart | SynchroSim: An Integrated Co-simulation Middleware for Heterogeneous
Multi-robot System | null | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | With the advancement of modern robotics, autonomous agents are now capable of
hosting sophisticated algorithms, which enables them to make intelligent
decisions. But developing and testing such algorithms directly in real-world
systems is tedious and may result in the wastage of valuable resources.
Especially for het... | [
{
"created": "Sat, 13 Aug 2022 04:34:06 GMT",
"version": "v1"
}
] | 2022-08-16 | [
[
"Dey",
"Emon",
""
],
[
"Hossain",
"Jumman",
""
],
[
"Roy",
"Nirmalya",
""
],
[
"Busart",
"Carl",
""
]
] | With the advancement of modern robotics, autonomous agents are now capable of hosting sophisticated algorithms, which enables them to make intelligent decisions. But developing and testing such algorithms directly in real-world systems is tedious and may result in the wastage of valuable resources. Especially for heter... |
2309.11001 | Kaustubh Shivdikar | Kaustubh Shivdikar, Yuhui Bao, Rashmi Agrawal, Michael Shen, Gilbert
Jonatan, Evelio Mora, Alexander Ingare, Neal Livesay, Jos\'e L. Abell\'an,
John Kim, Ajay Joshi, David Kaeli | GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic
Encryption | null | null | 10.1145/3613424.3614279 | null | cs.CR cs.AR | http://creativecommons.org/licenses/by/4.0/ | Fully Homomorphic Encryption (FHE) enables the processing of encrypted data
without decrypting it. FHE has garnered significant attention over the past
decade as it supports secure outsourcing of data processing to remote cloud
services. Despite its promise of strong data privacy and security guarantees,
FHE introduc... | [
{
"created": "Wed, 20 Sep 2023 01:50:43 GMT",
"version": "v1"
}
] | 2024-04-26 | [
[
"Shivdikar",
"Kaustubh",
""
],
[
"Bao",
"Yuhui",
""
],
[
"Agrawal",
"Rashmi",
""
],
[
"Shen",
"Michael",
""
],
[
"Jonatan",
"Gilbert",
""
],
[
"Mora",
"Evelio",
""
],
[
"Ingare",
"Alexander",
""
],
[
... | Fully Homomorphic Encryption (FHE) enables the processing of encrypted data without decrypting it. FHE has garnered significant attention over the past decade as it supports secure outsourcing of data processing to remote cloud services. Despite its promise of strong data privacy and security guarantees, FHE introduces... |
2402.07303 | R\"udiger Valk | R\"udiger Valk | Analysing cycloids using linear algebra | 12 pages, 6 figures | null | null | null | cs.DC | http://creativecommons.org/licenses/by/4.0/ | Cycloids are particular Petri nets for modelling processes of actions or
events. They belong to the fundaments of Petri's general systems theory and
have very different interpretations, ranging from Einstein's relativity theory
and elementary information processing gates to the modelling of interacting
sequential pro... | [
{
"created": "Sun, 11 Feb 2024 20:45:45 GMT",
"version": "v1"
}
] | 2024-02-13 | [
[
"Valk",
"Rüdiger",
""
]
] | Cycloids are particular Petri nets for modelling processes of actions or events. They belong to the fundaments of Petri's general systems theory and have very different interpretations, ranging from Einstein's relativity theory and elementary information processing gates to the modelling of interacting sequential proce... |
2203.12798 | Jun-Gi Jang | Jun-Gi Jang and U Kang | DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense
Tensors | 14 pages, 11 figures. To appear at the 38th IEEE International
Conference on Data Engineering (ICDE '22) | null | null | null | cs.LG cs.DB cs.MS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given an irregular dense tensor, how can we efficiently analyze it? An
irregular tensor is a collection of matrices whose columns have the same size
and rows have different sizes from each other. PARAFAC2 decomposition is a
fundamental tool to deal with an irregular tensor in applications including
phenotype discover... | [
{
"created": "Thu, 24 Mar 2022 01:43:13 GMT",
"version": "v1"
},
{
"created": "Thu, 2 Jun 2022 05:56:41 GMT",
"version": "v2"
}
] | 2022-06-03 | [
[
"Jang",
"Jun-Gi",
""
],
[
"Kang",
"U",
""
]
] | Given an irregular dense tensor, how can we efficiently analyze it? An irregular tensor is a collection of matrices whose columns have the same size and rows have different sizes from each other. PARAFAC2 decomposition is a fundamental tool to deal with an irregular tensor in applications including phenotype discovery ... |
2103.05346 | Jihan Yang | Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi | ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object
Detection | CVPR2021 | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a new domain adaptive self-training pipeline, named ST3D, for
unsupervised domain adaptation on 3D object detection from point clouds. First,
we pre-train the 3D detector on the source domain with our proposed random
object scaling strategy for mitigating the negative effects of source domain
bias. Then, t... | [
{
"created": "Tue, 9 Mar 2021 10:51:24 GMT",
"version": "v1"
},
{
"created": "Sat, 27 Mar 2021 07:36:13 GMT",
"version": "v2"
}
] | 2021-03-30 | [
[
"Yang",
"Jihan",
""
],
[
"Shi",
"Shaoshuai",
""
],
[
"Wang",
"Zhe",
""
],
[
"Li",
"Hongsheng",
""
],
[
"Qi",
"Xiaojuan",
""
]
] | We present a new domain adaptive self-training pipeline, named ST3D, for unsupervised domain adaptation on 3D object detection from point clouds. First, we pre-train the 3D detector on the source domain with our proposed random object scaling strategy for mitigating the negative effects of source domain bias. Then, the... |
1009.4572 | S. M. Kamruzzaman | S. M. Kamruzzaman, Ahmed Ryadh Hasan, Abu Bakar Siddiquee, and Md.
Ehsanul Hoque Mazumder | Medical diagnosis using neural network | 4 pages, International Conference | Proc. 3rd International Conference on Electrical & Computer
Engineering (ICECE 2004), Dhaka Bangladesh, pp. 537-540, Dec. 2004 | null | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This research is to search for alternatives to the resolution of complex
medical diagnosis where human knowledge should be apprehended in a general
fashion. Successful application examples show that human diagnostic
capabilities are significantly worse than the neural diagnostic system. This
paper describes a modifie... | [
{
"created": "Thu, 23 Sep 2010 10:44:24 GMT",
"version": "v1"
}
] | 2010-09-28 | [
[
"Kamruzzaman",
"S. M.",
""
],
[
"Hasan",
"Ahmed Ryadh",
""
],
[
"Siddiquee",
"Abu Bakar",
""
],
[
"Mazumder",
"Md. Ehsanul Hoque",
""
]
] | This research is to search for alternatives to the resolution of complex medical diagnosis where human knowledge should be apprehended in a general fashion. Successful application examples show that human diagnostic capabilities are significantly worse than the neural diagnostic system. This paper describes a modified ... |
1910.09573 | David Madras | David Madras, James Atwood, Alex D'Amour | Detecting Underspecification with Local Ensembles | Published as a conference paper at ICLR 2020 under the title
"Detecting Extrapolation with Local Ensembles" | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present local ensembles, a method for detecting underspecification -- when
many possible predictors are consistent with the training data and model class
-- at test time in a pre-trained model. Our method uses local second-order
information to approximate the variance of predictions across an ensemble of
models fr... | [
{
"created": "Mon, 21 Oct 2019 18:05:52 GMT",
"version": "v1"
},
{
"created": "Tue, 7 Dec 2021 20:58:12 GMT",
"version": "v2"
}
] | 2021-12-09 | [
[
"Madras",
"David",
""
],
[
"Atwood",
"James",
""
],
[
"D'Amour",
"Alex",
""
]
] | We present local ensembles, a method for detecting underspecification -- when many possible predictors are consistent with the training data and model class -- at test time in a pre-trained model. Our method uses local second-order information to approximate the variance of predictions across an ensemble of models from... |
1504.05998 | Dong Su | Dong Su, Jianneng Cao, Ninghui Li, Elisa Bertino, Hongxia Jin | Differentially Private $k$-Means Clustering | null | null | null | null | cs.CR | http://creativecommons.org/licenses/by/3.0/ | There are two broad approaches for differentially private data analysis. The
interactive approach aims at developing customized differentially private
algorithms for various data mining tasks. The non-interactive approach aims at
developing differentially private algorithms that can output a synopsis of the
input dat... | [
{
"created": "Wed, 22 Apr 2015 22:21:30 GMT",
"version": "v1"
}
] | 2015-04-24 | [
[
"Su",
"Dong",
""
],
[
"Cao",
"Jianneng",
""
],
[
"Li",
"Ninghui",
""
],
[
"Bertino",
"Elisa",
""
],
[
"Jin",
"Hongxia",
""
]
] | There are two broad approaches for differentially private data analysis. The interactive approach aims at developing customized differentially private algorithms for various data mining tasks. The non-interactive approach aims at developing differentially private algorithms that can output a synopsis of the input datas... |
1903.06442 | Shiwen He | Shiwen He, Ju Ren, Jiaheng Wang, Yongming Huang, Yaoxue Zhang, Weihua
Zhuang, and Sherman (Xuemin) Shen | Cloud-Edge Coordinated Processing: Low-Latency Multicasting Transmission | 35 pages,9 figures, to appear in IEEE Journal on Selected Areas in
Communications-Special Issue on Network Softwarization & Enablers | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, edge caching and multicasting arise as two promising technologies
to support high-data-rate and low-latency delivery in wireless communication
networks. In this paper, we design three transmission schemes aiming to
minimize the delivery latency for cache-enabled multigroup multicasting
networks. In particul... | [
{
"created": "Fri, 15 Mar 2019 10:18:18 GMT",
"version": "v1"
}
] | 2019-03-18 | [
[
"He",
"Shiwen",
"",
"Xuemin"
],
[
"Ren",
"Ju",
"",
"Xuemin"
],
[
"Wang",
"Jiaheng",
"",
"Xuemin"
],
[
"Huang",
"Yongming",
"",
"Xuemin"
],
[
"Zhang",
"Yaoxue",
"",
"Xuemin"
],
[
"Zhuang",
"Weihua",
"",
... | Recently, edge caching and multicasting arise as two promising technologies to support high-data-rate and low-latency delivery in wireless communication networks. In this paper, we design three transmission schemes aiming to minimize the delivery latency for cache-enabled multigroup multicasting networks. In particular... |
1312.2299 | Vasilis Syrgkanis | Nicole Immorlica, Greg Stoddard, Vasilis Syrgkanis | Social Status and Badge Design | null | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many websites rely on user-generated content to provide value to consumers.
These websites typically incentivize participation by awarding users badges
based on their contributions. While these badges typically have no explicit
value, they act as symbols of social status within a community. In this paper,
we consider... | [
{
"created": "Mon, 9 Dec 2013 03:18:18 GMT",
"version": "v1"
},
{
"created": "Fri, 21 Feb 2014 01:41:12 GMT",
"version": "v2"
}
] | 2014-02-24 | [
[
"Immorlica",
"Nicole",
""
],
[
"Stoddard",
"Greg",
""
],
[
"Syrgkanis",
"Vasilis",
""
]
] | Many websites rely on user-generated content to provide value to consumers. These websites typically incentivize participation by awarding users badges based on their contributions. While these badges typically have no explicit value, they act as symbols of social status within a community. In this paper, we consider t... |
2203.05051 | John Howard | John J. Howard, Eli J. Laird, Yevgeniy B. Sirotin, Rebecca E. Rubin,
Jerry L. Tipton, and Arun R. Vemury | Evaluating Proposed Fairness Models for Face Recognition Algorithms | null | null | null | null | cs.CV cs.CY cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The development of face recognition algorithms by academic and commercial
organizations is growing rapidly due to the onset of deep learning and the
widespread availability of training data. Though tests of face recognition
algorithm performance indicate yearly performance gains, error rates for many
of these systems... | [
{
"created": "Wed, 9 Mar 2022 21:16:43 GMT",
"version": "v1"
}
] | 2022-03-11 | [
[
"Howard",
"John J.",
""
],
[
"Laird",
"Eli J.",
""
],
[
"Sirotin",
"Yevgeniy B.",
""
],
[
"Rubin",
"Rebecca E.",
""
],
[
"Tipton",
"Jerry L.",
""
],
[
"Vemury",
"Arun R.",
""
]
] | The development of face recognition algorithms by academic and commercial organizations is growing rapidly due to the onset of deep learning and the widespread availability of training data. Though tests of face recognition algorithm performance indicate yearly performance gains, error rates for many of these systems d... |
2405.04913 | Qi Lai | Qi Lai, Chi-Man Vong | Weakly-supervised Semantic Segmentation via Dual-stream Contrastive
Learning of Cross-image Contextual Information | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Weakly supervised semantic segmentation (WSSS) aims at learning a semantic
segmentation model with only image-level tags. Despite intensive research on
deep learning approaches over a decade, there is still a significant
performance gap between WSSS and full semantic segmentation. Most current WSSS
methods always foc... | [
{
"created": "Wed, 8 May 2024 09:35:26 GMT",
"version": "v1"
}
] | 2024-05-09 | [
[
"Lai",
"Qi",
""
],
[
"Vong",
"Chi-Man",
""
]
] | Weakly supervised semantic segmentation (WSSS) aims at learning a semantic segmentation model with only image-level tags. Despite intensive research on deep learning approaches over a decade, there is still a significant performance gap between WSSS and full semantic segmentation. Most current WSSS methods always focus... |
1901.10251 | Orr Krupnik | Orr Krupnik, Igor Mordatch, Aviv Tamar | Multi-Agent Reinforcement Learning with Multi-Step Generative Models | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider model-based reinforcement learning (MBRL) in 2-agent,
high-fidelity continuous control problems -- an important domain for robots
interacting with other agents in the same workspace. For non-trivial dynamical
systems, MBRL typically suffers from accumulating errors. Several recent
studies have addressed t... | [
{
"created": "Tue, 29 Jan 2019 12:29:20 GMT",
"version": "v1"
},
{
"created": "Fri, 19 Jul 2019 01:44:22 GMT",
"version": "v2"
},
{
"created": "Fri, 1 Nov 2019 04:51:13 GMT",
"version": "v3"
}
] | 2019-11-04 | [
[
"Krupnik",
"Orr",
""
],
[
"Mordatch",
"Igor",
""
],
[
"Tamar",
"Aviv",
""
]
] | We consider model-based reinforcement learning (MBRL) in 2-agent, high-fidelity continuous control problems -- an important domain for robots interacting with other agents in the same workspace. For non-trivial dynamical systems, MBRL typically suffers from accumulating errors. Several recent studies have addressed thi... |
2002.12349 | Vasileios Vasilopoulos | Vasileios Vasilopoulos, Georgios Pavlakos, Sean L. Bowman, J. Diego
Caporale, Kostas Daniilidis, George J. Pappas, Daniel E. Koditschek | Technical Report: Reactive Semantic Planning in Unexplored Semantic
Environments Using Deep Perceptual Feedback | Technical Report accompanying the paper "Reactive Semantic Planning
in Unexplored Semantic Environments Using Deep Perceptual Feedback" (12
pages, 8 figures) - Using definitions and equations from arxiv:2002.08946 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a reactive planning system that enriches the topological
representation of an environment with a tightly integrated semantic
representation, achieved by incorporating and exploiting advances in deep
perceptual learning and probabilistic semantic reasoning. Our architecture
combines object detectio... | [
{
"created": "Tue, 25 Feb 2020 23:02:30 GMT",
"version": "v1"
},
{
"created": "Fri, 28 Feb 2020 04:55:13 GMT",
"version": "v2"
},
{
"created": "Mon, 4 May 2020 16:54:22 GMT",
"version": "v3"
}
] | 2020-05-05 | [
[
"Vasilopoulos",
"Vasileios",
""
],
[
"Pavlakos",
"Georgios",
""
],
[
"Bowman",
"Sean L.",
""
],
[
"Caporale",
"J. Diego",
""
],
[
"Daniilidis",
"Kostas",
""
],
[
"Pappas",
"George J.",
""
],
[
"Koditschek",
"Da... | This paper presents a reactive planning system that enriches the topological representation of an environment with a tightly integrated semantic representation, achieved by incorporating and exploiting advances in deep perceptual learning and probabilistic semantic reasoning. Our architecture combines object detection ... |
2209.15167 | Heinrich Dinkel | Heinrich Dinkel, Zhiyong Yan, Yongqing Wang, Junbo Zhang, Yujun Wang | An empirical study of weakly supervised audio tagging embeddings for
general audio representations | Odyssey 2022 | null | 10.21437/Odyssey.2022-54 | null | cs.SD eess.AS | http://creativecommons.org/licenses/by/4.0/ | We study the usability of pre-trained weakly supervised audio tagging (AT)
models as feature extractors for general audio representations. We mainly
analyze the feasibility of transferring those embeddings to other tasks within
the speech and sound domains. Specifically, we benchmark weakly supervised
pre-trained mod... | [
{
"created": "Fri, 30 Sep 2022 01:35:36 GMT",
"version": "v1"
}
] | 2022-10-03 | [
[
"Dinkel",
"Heinrich",
""
],
[
"Yan",
"Zhiyong",
""
],
[
"Wang",
"Yongqing",
""
],
[
"Zhang",
"Junbo",
""
],
[
"Wang",
"Yujun",
""
]
] | We study the usability of pre-trained weakly supervised audio tagging (AT) models as feature extractors for general audio representations. We mainly analyze the feasibility of transferring those embeddings to other tasks within the speech and sound domains. Specifically, we benchmark weakly supervised pre-trained model... |
1809.00509 | Diego Esteves | Aniketh Janardhan Reddy and Gil Rocha and Diego Esteves | DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector
Comparison and Decomposable Attention | null | EMNLP 2018: Conference on Empirical Methods in Natural Language
Processing (The First Workshop on Fact Extraction and Verification) | null | null | cs.AI cs.CL cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we describe DeFactoNLP, the system we designed for the FEVER
2018 Shared Task. The aim of this task was to conceive a system that can not
only automatically assess the veracity of a claim but also retrieve evidence
supporting this assessment from Wikipedia. In our approach, the Wikipedia
documents whos... | [
{
"created": "Mon, 3 Sep 2018 09:07:17 GMT",
"version": "v1"
}
] | 2018-09-10 | [
[
"Reddy",
"Aniketh Janardhan",
""
],
[
"Rocha",
"Gil",
""
],
[
"Esteves",
"Diego",
""
]
] | In this paper, we describe DeFactoNLP, the system we designed for the FEVER 2018 Shared Task. The aim of this task was to conceive a system that can not only automatically assess the veracity of a claim but also retrieve evidence supporting this assessment from Wikipedia. In our approach, the Wikipedia documents whose ... |
1805.02751 | Noah Apthorpe | Gordon Chu, Noah Apthorpe, Nick Feamster | Security and Privacy Analyses of Internet of Things Children's Toys | 8 pages, 8 figures; publication version | IEEE Internet of Things Journal (IoT-J), 2018 | 10.1109/JIOT.2018.2866423 | null | cs.CR cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper investigates the security and privacy of Internet-connected
children's smart toys through case studies of three commercially-available
products. We conduct network and application vulnerability analyses of each toy
using static and dynamic analysis techniques, including application binary
decompilation and... | [
{
"created": "Mon, 7 May 2018 21:23:47 GMT",
"version": "v1"
},
{
"created": "Wed, 29 Aug 2018 00:35:58 GMT",
"version": "v2"
}
] | 2018-08-30 | [
[
"Chu",
"Gordon",
""
],
[
"Apthorpe",
"Noah",
""
],
[
"Feamster",
"Nick",
""
]
] | This paper investigates the security and privacy of Internet-connected children's smart toys through case studies of three commercially-available products. We conduct network and application vulnerability analyses of each toy using static and dynamic analysis techniques, including application binary decompilation and n... |
1504.05694 | Serge Egelman | Linda Lee, Serge Egelman, Joong Hwa Lee, David Wagner | Risk Perceptions for Wearable Devices | null | null | null | null | cs.CY cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Wearable devices, or "wearables," bring great benefits but also potential
risks that could expose users' activities with- out their awareness or consent.
In this paper, we report findings from the first large-scale survey conducted
to investigate user security and privacy concerns regarding wearables. We
surveyed 1,7... | [
{
"created": "Wed, 22 Apr 2015 08:44:23 GMT",
"version": "v1"
}
] | 2015-04-23 | [
[
"Lee",
"Linda",
""
],
[
"Egelman",
"Serge",
""
],
[
"Lee",
"Joong Hwa",
""
],
[
"Wagner",
"David",
""
]
] | Wearable devices, or "wearables," bring great benefits but also potential risks that could expose users' activities with- out their awareness or consent. In this paper, we report findings from the first large-scale survey conducted to investigate user security and privacy concerns regarding wearables. We surveyed 1,782... |
2108.07151 | Yi Wang | Yi Wang, Yuchen He, Xutian Deng, Ziwei Lei, Yiting Chen, Miao Li | Learning Friction Model for Tethered Capsule Robot | ICRAE 2021 Conference paper | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | With the potential applications of capsule robots in medical endoscopy,
accurate dynamic control of the capsule robot is becoming more and more
important. In the scale of a capsule robot, the friction between capsule and
the environment plays an essential role in the dynamic model, which is usually
difficult to model... | [
{
"created": "Mon, 16 Aug 2021 15:23:54 GMT",
"version": "v1"
}
] | 2021-08-17 | [
[
"Wang",
"Yi",
""
],
[
"He",
"Yuchen",
""
],
[
"Deng",
"Xutian",
""
],
[
"Lei",
"Ziwei",
""
],
[
"Chen",
"Yiting",
""
],
[
"Li",
"Miao",
""
]
] | With the potential applications of capsule robots in medical endoscopy, accurate dynamic control of the capsule robot is becoming more and more important. In the scale of a capsule robot, the friction between capsule and the environment plays an essential role in the dynamic model, which is usually difficult to model b... |
2406.14227 | Hristo Venev | Hristo Venev and Timon Gehr and Dimitar Dimitrov and Martin Vechev | Modular Synthesis of Efficient Quantum Uncomputation | 25 pages, 9 figures | null | null | null | cs.PL | http://creativecommons.org/licenses/by/4.0/ | A key challenge of quantum programming is uncomputation: the reversible
deallocation of qubits. And while there has been much recent progress on
automating uncomputation, state-of-the-art methods are insufficient for
handling today's expressive quantum programming languages. A core reason is
that they operate on prim... | [
{
"created": "Thu, 20 Jun 2024 11:47:45 GMT",
"version": "v1"
}
] | 2024-06-21 | [
[
"Venev",
"Hristo",
""
],
[
"Gehr",
"Timon",
""
],
[
"Dimitrov",
"Dimitar",
""
],
[
"Vechev",
"Martin",
""
]
] | A key challenge of quantum programming is uncomputation: the reversible deallocation of qubits. And while there has been much recent progress on automating uncomputation, state-of-the-art methods are insufficient for handling today's expressive quantum programming languages. A core reason is that they operate on primit... |
2305.05607 | Adam Thorpe | Adam J. Thorpe | Refining Human-Centered Autonomy Using Side Information | null | HCPS 2023 Workshop on Humans in Cyber-Physical Systems (HCPS
2023), part of CPS-IoT Week | null | null | cs.HC cs.RO cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Data-driven algorithms for human-centered autonomy use observed data to
compute models of human behavior in order to ensure safety, correctness, and to
avoid potential errors that arise at runtime. However, such algorithms often
neglect useful a priori knowledge, known as side information, that can improve
the qualit... | [
{
"created": "Tue, 9 May 2023 16:57:19 GMT",
"version": "v1"
}
] | 2023-05-10 | [
[
"Thorpe",
"Adam J.",
""
]
] | Data-driven algorithms for human-centered autonomy use observed data to compute models of human behavior in order to ensure safety, correctness, and to avoid potential errors that arise at runtime. However, such algorithms often neglect useful a priori knowledge, known as side information, that can improve the quality ... |
2206.00471 | Lu Han | Lu Han, Han-Jia Ye, De-Chuan Zhan | Augmentation Component Analysis: Modeling Similarity via the
Augmentation Overlaps | Accept to ICLR 2023 | null | null | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Self-supervised learning aims to learn a embedding space where semantically
similar samples are close. Contrastive learning methods pull views of samples
together and push different samples away, which utilizes semantic invariance of
augmentation but ignores the relationship between samples. To better exploit
the pow... | [
{
"created": "Wed, 1 Jun 2022 13:03:58 GMT",
"version": "v1"
},
{
"created": "Thu, 2 Feb 2023 12:40:25 GMT",
"version": "v2"
},
{
"created": "Thu, 16 Feb 2023 15:12:39 GMT",
"version": "v3"
}
] | 2023-02-17 | [
[
"Han",
"Lu",
""
],
[
"Ye",
"Han-Jia",
""
],
[
"Zhan",
"De-Chuan",
""
]
] | Self-supervised learning aims to learn a embedding space where semantically similar samples are close. Contrastive learning methods pull views of samples together and push different samples away, which utilizes semantic invariance of augmentation but ignores the relationship between samples. To better exploit the power... |
1904.10927 | Tamara Radivilova A | Lyudmyla Kirichenko and Tamara Radivilova and Illya Zinkevich | Forecasting Weakly Correlated Time Series in Tasks of Electronic
Commerce | 4 pages, 4 figures, 1 table | 2017 12th International Scientific and Technical Conference on
Computer Sciences and Information Technologies (CSIT) | 10.1109/STC-CSIT.2017.8098793 | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Forecasting of weakly correlated time series of conversion rate by methods of
exponential smoothing, neural network and decision tree on the example of
conversion percent series for an electronic store is considered in the paper.
The advantages and disadvantages of each method are considered.
| [
{
"created": "Tue, 16 Apr 2019 11:41:34 GMT",
"version": "v1"
}
] | 2019-04-25 | [
[
"Kirichenko",
"Lyudmyla",
""
],
[
"Radivilova",
"Tamara",
""
],
[
"Zinkevich",
"Illya",
""
]
] | Forecasting of weakly correlated time series of conversion rate by methods of exponential smoothing, neural network and decision tree on the example of conversion percent series for an electronic store is considered in the paper. The advantages and disadvantages of each method are considered. |
1602.03719 | Luka Krapic | Aleksander Klju\v{c}ev\v{s}ek, Luka Krapi\'c | Discovering novel ingredient pairings in molecular gastronomy using
network analysis | null | null | null | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Molecular gastronomy is a distinct sub-discipline of food science that takes
an active role in examining chemical and physical properties of ingredients and
as such lends itself to more scientific approaches to finding novel ingredient
pairings. With thousands of ingredients and molecules, which participate in the
cr... | [
{
"created": "Thu, 11 Feb 2016 13:20:53 GMT",
"version": "v1"
}
] | 2016-02-12 | [
[
"Ključevšek",
"Aleksander",
""
],
[
"Krapić",
"Luka",
""
]
] | Molecular gastronomy is a distinct sub-discipline of food science that takes an active role in examining chemical and physical properties of ingredients and as such lends itself to more scientific approaches to finding novel ingredient pairings. With thousands of ingredients and molecules, which participate in the crea... |
2205.08438 | Alexander Brownlee Dr | Alexander Brownlee, Martin Pelikan, John McCall, and Andrei Petrovski | An Application of a Multivariate Estimation of Distribution Algorithm to
Cancer Chemotherapy | Tech report, originally published at Missouri EDA Lab, in support of
extended abstract (poster) with same title presented at GECCO 2008 | null | null | null | cs.AI q-bio.QM | http://creativecommons.org/licenses/by/4.0/ | Chemotherapy treatment for cancer is a complex optimisation problem with a
large number of interacting variables and constraints. A number of different
probabilistic algorithms have been applied to it with varying success. In this
paper we expand on this by applying two estimation of distribution algorithms
to the pr... | [
{
"created": "Tue, 17 May 2022 15:28:46 GMT",
"version": "v1"
}
] | 2022-05-18 | [
[
"Brownlee",
"Alexander",
""
],
[
"Pelikan",
"Martin",
""
],
[
"McCall",
"John",
""
],
[
"Petrovski",
"Andrei",
""
]
] | Chemotherapy treatment for cancer is a complex optimisation problem with a large number of interacting variables and constraints. A number of different probabilistic algorithms have been applied to it with varying success. In this paper we expand on this by applying two estimation of distribution algorithms to the prob... |
1506.06096 | Dorina Thanou | Dorina Thanou, Philip A. Chou, and Pascal Frossard | Graph-based compression of dynamic 3D point cloud sequences | null | null | 10.1109/TIP.2016.2529506 | null | cs.CV cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper addresses the problem of compression of 3D point cloud sequences
that are characterized by moving 3D positions and color attributes. As
temporally successive point cloud frames are similar, motion estimation is key
to effective compression of these sequences. It however remains a challenging
problem as the... | [
{
"created": "Fri, 19 Jun 2015 17:31:34 GMT",
"version": "v1"
}
] | 2016-08-24 | [
[
"Thanou",
"Dorina",
""
],
[
"Chou",
"Philip A.",
""
],
[
"Frossard",
"Pascal",
""
]
] | This paper addresses the problem of compression of 3D point cloud sequences that are characterized by moving 3D positions and color attributes. As temporally successive point cloud frames are similar, motion estimation is key to effective compression of these sequences. It however remains a challenging problem as the p... |
1811.11044 | Peng Wei | Peng Wei, Yue Xiao, Lilin Dan, Shichao Lv, and Wei Xiang | Performance Analysis of Low-Interference N-Continuous OFDM | 15 pages, 14 figures | null | 10.23919/JCC.2022.11.012 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The low-interference N-continuous orthogonal frequency division multiplexing
(NC-OFDM) system [25], [26] is investigated in terms of power spectrum density
(PSD) and bit error rate (BER), to prove and quantify its advantages over
traditional NC-OFDM. The PSD and BER performances of the low-interference
scheme are ana... | [
{
"created": "Tue, 27 Nov 2018 15:08:28 GMT",
"version": "v1"
},
{
"created": "Wed, 5 Dec 2018 17:04:27 GMT",
"version": "v2"
},
{
"created": "Tue, 3 Nov 2020 08:09:03 GMT",
"version": "v3"
}
] | 2023-03-30 | [
[
"Wei",
"Peng",
""
],
[
"Xiao",
"Yue",
""
],
[
"Dan",
"Lilin",
""
],
[
"Lv",
"Shichao",
""
],
[
"Xiang",
"Wei",
""
]
] | The low-interference N-continuous orthogonal frequency division multiplexing (NC-OFDM) system [25], [26] is investigated in terms of power spectrum density (PSD) and bit error rate (BER), to prove and quantify its advantages over traditional NC-OFDM. The PSD and BER performances of the low-interference scheme are analy... |
1407.1065 | Mahdi Soltanolkotabi | Emmanuel Candes, Xiaodong Li, Mahdi Soltanolkotabi | Phase Retrieval via Wirtinger Flow: Theory and Algorithms | IEEE Transactions on Information Theory, Vol. 64 (4), Feb. 2015 | null | 10.1109/TIT.2015.2399924 | null | cs.IT math.FA math.IT math.NA math.OC math.ST stat.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of recovering the phase from magnitude measurements;
specifically, we wish to reconstruct a complex-valued signal x of C^n about
which we have phaseless samples of the form y_r = |< a_r,x >|^2, r = 1,2,...,m
(knowledge of the phase of these samples would yield a linear system). This
paper develop... | [
{
"created": "Thu, 3 Jul 2014 21:14:47 GMT",
"version": "v1"
},
{
"created": "Tue, 3 Feb 2015 08:31:04 GMT",
"version": "v2"
},
{
"created": "Tue, 24 Nov 2015 07:03:41 GMT",
"version": "v3"
}
] | 2016-11-17 | [
[
"Candes",
"Emmanuel",
""
],
[
"Li",
"Xiaodong",
""
],
[
"Soltanolkotabi",
"Mahdi",
""
]
] | We study the problem of recovering the phase from magnitude measurements; specifically, we wish to reconstruct a complex-valued signal x of C^n about which we have phaseless samples of the form y_r = |< a_r,x >|^2, r = 1,2,...,m (knowledge of the phase of these samples would yield a linear system). This paper develops ... |
1905.04000 | Takanori Fujiwara | Takanori Fujiwara, Jia-Kai Chou, Shilpika, Panpan Xu, Liu Ren,
Kwan-Liu Ma | An Incremental Dimensionality Reduction Method for Visualizing Streaming
Multidimensional Data | This is the author's version of the article that has been published
in IEEE Transactions on Visualization and Computer Graphics. The final
version of this record is available at: 10.1109/TVCG.2019.2934433 | null | 10.1109/TVCG.2019.2934433 | null | cs.GR cs.HC cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Dimensionality reduction (DR) methods are commonly used for analyzing and
visualizing multidimensional data. However, when data is a live streaming feed,
conventional DR methods cannot be directly used because of their computational
complexity and inability to preserve the projected data positions at previous
time po... | [
{
"created": "Fri, 10 May 2019 08:15:42 GMT",
"version": "v1"
},
{
"created": "Wed, 31 Jul 2019 05:38:20 GMT",
"version": "v2"
},
{
"created": "Tue, 15 Oct 2019 04:16:00 GMT",
"version": "v3"
}
] | 2019-10-16 | [
[
"Fujiwara",
"Takanori",
""
],
[
"Chou",
"Jia-Kai",
""
],
[
"Shilpika",
"",
""
],
[
"Xu",
"Panpan",
""
],
[
"Ren",
"Liu",
""
],
[
"Ma",
"Kwan-Liu",
""
]
] | Dimensionality reduction (DR) methods are commonly used for analyzing and visualizing multidimensional data. However, when data is a live streaming feed, conventional DR methods cannot be directly used because of their computational complexity and inability to preserve the projected data positions at previous time poin... |
2203.00972 | Jacek Komorowski | Jacek Komorowski | Improving Point Cloud Based Place Recognition with Ranking-based Loss
and Large Batch Training | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | The paper presents a simple and effective learning-based method for computing
a discriminative 3D point cloud descriptor for place recognition purposes.
Recent state-of-the-art methods have relatively complex architectures such as
multi-scale oyramid of point Transformers combined with a pyramid of feature
aggregatio... | [
{
"created": "Wed, 2 Mar 2022 09:29:28 GMT",
"version": "v1"
},
{
"created": "Thu, 7 Apr 2022 22:02:24 GMT",
"version": "v2"
}
] | 2022-04-11 | [
[
"Komorowski",
"Jacek",
""
]
] | The paper presents a simple and effective learning-based method for computing a discriminative 3D point cloud descriptor for place recognition purposes. Recent state-of-the-art methods have relatively complex architectures such as multi-scale oyramid of point Transformers combined with a pyramid of feature aggregation ... |
2208.09174 | Travis Greene | Travis Greene, Amit Dhurandhar, Galit Shmueli | Atomist or Holist? A Diagnosis and Vision for More Productive
Interdisciplinary AI Ethics Dialogue | 9 pages, 1 figure, 2 tables. To be published in Patterns by Cell
Press | null | null | null | cs.CY cs.AI stat.OT | http://creativecommons.org/licenses/by/4.0/ | In response to growing recognition of the social impact of new AI-based
technologies, major AI and ML conferences and journals now encourage or require
papers to include ethics impact statements and undergo ethics reviews. This
move has sparked heated debate concerning the role of ethics in AI research, at
times devo... | [
{
"created": "Fri, 19 Aug 2022 06:51:27 GMT",
"version": "v1"
},
{
"created": "Thu, 1 Sep 2022 04:38:42 GMT",
"version": "v2"
},
{
"created": "Sat, 12 Nov 2022 05:27:28 GMT",
"version": "v3"
}
] | 2022-11-15 | [
[
"Greene",
"Travis",
""
],
[
"Dhurandhar",
"Amit",
""
],
[
"Shmueli",
"Galit",
""
]
] | In response to growing recognition of the social impact of new AI-based technologies, major AI and ML conferences and journals now encourage or require papers to include ethics impact statements and undergo ethics reviews. This move has sparked heated debate concerning the role of ethics in AI research, at times devolv... |
2202.13252 | Richard Sutton | Richard S. Sutton | The Quest for a Common Model of the Intelligent Decision Maker | Will appear as an extended abstract at the fifth Multi-disciplinary
Conference on Reinforcement Learning and Decision Making, held in Providence,
Rhode Island, June 8-11, 2022 | null | null | null | cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The premise of the Multi-disciplinary Conference on Reinforcement Learning
and Decision Making is that multiple disciplines share an interest in
goal-directed decision making over time. The idea of this paper is to sharpen
and deepen this premise by proposing a perspective on the decision maker that
is substantive an... | [
{
"created": "Sat, 26 Feb 2022 23:40:42 GMT",
"version": "v1"
},
{
"created": "Fri, 8 Apr 2022 01:09:12 GMT",
"version": "v2"
},
{
"created": "Sun, 5 Jun 2022 22:15:16 GMT",
"version": "v3"
}
] | 2022-06-07 | [
[
"Sutton",
"Richard S.",
""
]
] | The premise of the Multi-disciplinary Conference on Reinforcement Learning and Decision Making is that multiple disciplines share an interest in goal-directed decision making over time. The idea of this paper is to sharpen and deepen this premise by proposing a perspective on the decision maker that is substantive and ... |
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