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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1304.7392 | John Kieffer | Jie Zhang, En-hui Yang, John C. Kieffer | A Universal Grammar-Based Code For Lossless Compression of Binary Trees | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of lossless compression of binary trees, with the aim
of reducing the number of code bits needed to store or transmit such trees. A
lossless grammar-based code is presented which encodes each binary tree into a
binary codeword in two steps. In the first step, the tree is transformed into a
con... | [
{
"created": "Sat, 27 Apr 2013 18:02:53 GMT",
"version": "v1"
}
] | 2013-04-30 | [
[
"Zhang",
"Jie",
""
],
[
"Yang",
"En-hui",
""
],
[
"Kieffer",
"John C.",
""
]
] | We consider the problem of lossless compression of binary trees, with the aim of reducing the number of code bits needed to store or transmit such trees. A lossless grammar-based code is presented which encodes each binary tree into a binary codeword in two steps. In the first step, the tree is transformed into a conte... |
2112.10356 | Roland Croft | Roland Croft, M. Ali Babar, Li Li | An Investigation into Inconsistency of Software Vulnerability Severity
across Data Sources | Accepted for publication in SANER 22 | null | null | null | cs.SE cs.CR | http://creativecommons.org/licenses/by/4.0/ | Software Vulnerability (SV) severity assessment is a vital task for informing
SV remediation and triage. Ranking of SV severity scores is often used to
advise prioritization of patching efforts. However, severity assessment is a
difficult and subjective manual task that relies on expertise, knowledge, and
standardize... | [
{
"created": "Mon, 20 Dec 2021 06:36:19 GMT",
"version": "v1"
},
{
"created": "Sun, 16 Jan 2022 09:22:37 GMT",
"version": "v2"
}
] | 2022-01-19 | [
[
"Croft",
"Roland",
""
],
[
"Babar",
"M. Ali",
""
],
[
"Li",
"Li",
""
]
] | Software Vulnerability (SV) severity assessment is a vital task for informing SV remediation and triage. Ranking of SV severity scores is often used to advise prioritization of patching efforts. However, severity assessment is a difficult and subjective manual task that relies on expertise, knowledge, and standardized ... |
2009.05983 | Mengdi Xu | Wentai Lei, Mengdi Xu, Feifei Hou, Wensi Jiang | Calibration Venus: An Interactive Camera Calibration Method Based on
Search Algorithm and Pose Decomposition | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In many scenarios where cameras are applied, such as robot positioning and
unmanned driving, camera calibration is one of the most important pre-work. The
interactive calibration method based on the plane board is becoming popular in
camera calibration field due to its repeatability and operation advantages.
However,... | [
{
"created": "Sun, 13 Sep 2020 12:12:10 GMT",
"version": "v1"
}
] | 2020-10-14 | [
[
"Lei",
"Wentai",
""
],
[
"Xu",
"Mengdi",
""
],
[
"Hou",
"Feifei",
""
],
[
"Jiang",
"Wensi",
""
]
] | In many scenarios where cameras are applied, such as robot positioning and unmanned driving, camera calibration is one of the most important pre-work. The interactive calibration method based on the plane board is becoming popular in camera calibration field due to its repeatability and operation advantages. However, t... |
2006.11645 | Tsung-Yen Yang | Tsung-Yen Yang and Justinian Rosca and Karthik Narasimhan and Peter J.
Ramadge | Accelerating Safe Reinforcement Learning with Constraint-mismatched
Policies | International Conference on Machine Learning (ICML) 2021 | null | null | null | cs.LG cs.AI cs.RO stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of reinforcement learning when provided with (1) a
baseline control policy and (2) a set of constraints that the learner must
satisfy. The baseline policy can arise from demonstration data or a teacher
agent and may provide useful cues for learning, but it might also be
sub-optimal for the tas... | [
{
"created": "Sat, 20 Jun 2020 20:20:47 GMT",
"version": "v1"
},
{
"created": "Wed, 7 Oct 2020 05:08:21 GMT",
"version": "v2"
},
{
"created": "Sat, 10 Jul 2021 02:55:37 GMT",
"version": "v3"
}
] | 2021-07-13 | [
[
"Yang",
"Tsung-Yen",
""
],
[
"Rosca",
"Justinian",
""
],
[
"Narasimhan",
"Karthik",
""
],
[
"Ramadge",
"Peter J.",
""
]
] | We consider the problem of reinforcement learning when provided with (1) a baseline control policy and (2) a set of constraints that the learner must satisfy. The baseline policy can arise from demonstration data or a teacher agent and may provide useful cues for learning, but it might also be sub-optimal for the task ... |
2401.10487 | Peiwen Yuan | Peiwen Yuan, Xinglin Wang, Shaoxiong Feng, Boyuan Pan, Yiwei Li, Heda
Wang, Xupeng Miao, Kan Li | Generative Dense Retrieval: Memory Can Be a Burden | EACL 2024 main | EACL 2024 main | null | null | cs.IR cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Generative Retrieval (GR), autoregressively decoding relevant document
identifiers given a query, has been shown to perform well under the setting of
small-scale corpora. By memorizing the document corpus with model parameters,
GR implicitly achieves deep interaction between query and document. However,
such a memori... | [
{
"created": "Fri, 19 Jan 2024 04:24:07 GMT",
"version": "v1"
}
] | 2024-01-22 | [
[
"Yuan",
"Peiwen",
""
],
[
"Wang",
"Xinglin",
""
],
[
"Feng",
"Shaoxiong",
""
],
[
"Pan",
"Boyuan",
""
],
[
"Li",
"Yiwei",
""
],
[
"Wang",
"Heda",
""
],
[
"Miao",
"Xupeng",
""
],
[
"Li",
"Kan",
... | Generative Retrieval (GR), autoregressively decoding relevant document identifiers given a query, has been shown to perform well under the setting of small-scale corpora. By memorizing the document corpus with model parameters, GR implicitly achieves deep interaction between query and document. However, such a memorizi... |
1910.04162 | Yizhen Chen | Yizhen Chen | Mobile Sensor Networks: Bounds on Capacity and Complexity of
Realizability | 24 pages, 14 figures | null | null | null | cs.DM cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We develop the mathematical theory of a model, constructed by C. Gu, I.
Downes, O. Gnawali, and L. Guibas, of networks that diffuse continuously
acquired information from mobile sensor nodes. We prove new results on the
maximum, minimum, and expected capacity of their model of combinatorial and
geometric mobile senso... | [
{
"created": "Wed, 9 Oct 2019 14:48:31 GMT",
"version": "v1"
},
{
"created": "Tue, 21 Jan 2020 23:20:58 GMT",
"version": "v2"
},
{
"created": "Tue, 2 Feb 2021 00:04:54 GMT",
"version": "v3"
}
] | 2021-02-03 | [
[
"Chen",
"Yizhen",
""
]
] | We develop the mathematical theory of a model, constructed by C. Gu, I. Downes, O. Gnawali, and L. Guibas, of networks that diffuse continuously acquired information from mobile sensor nodes. We prove new results on the maximum, minimum, and expected capacity of their model of combinatorial and geometric mobile sensor ... |
1805.02020 | Wu Yantong | YanTong Wu, Yang Liu | Position Estimation of Camera Based on Unsupervised Learning | 6 pages,5 figures,1 table | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | It is an exciting task to recover the scene's 3d-structure and camera pose
from the video sequence. Most of the current solutions divide it into two
parts, monocular depth recovery and camera pose estimation. The monocular depth
recovery is often studied as an independent part, and a better depth estimation
is used t... | [
{
"created": "Sat, 5 May 2018 08:35:23 GMT",
"version": "v1"
}
] | 2018-05-24 | [
[
"Wu",
"YanTong",
""
],
[
"Liu",
"Yang",
""
]
] | It is an exciting task to recover the scene's 3d-structure and camera pose from the video sequence. Most of the current solutions divide it into two parts, monocular depth recovery and camera pose estimation. The monocular depth recovery is often studied as an independent part, and a better depth estimation is used to ... |
1804.03079 | Jinseok Choi | Jinseok Choi, Gilwon Lee, and Brian L. Evans | User Scheduling for Millimeter Wave Hybrid Beamforming Systems with
Low-Resolution ADCs | Submitted to Transactions on Wireless Communications | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We investigate uplink user scheduling for millimeter wave (mmWave) hybrid
analog/digital beamforming systems with low-resolution analog-to-digital
converters (ADCs). Deriving new scheduling criteria for the mmWave systems, we
show that the channel structure in the beamspace, in addition to the channel
magnitude and o... | [
{
"created": "Mon, 9 Apr 2018 16:11:17 GMT",
"version": "v1"
},
{
"created": "Fri, 24 Aug 2018 04:47:01 GMT",
"version": "v2"
},
{
"created": "Fri, 15 Feb 2019 04:10:22 GMT",
"version": "v3"
}
] | 2019-02-18 | [
[
"Choi",
"Jinseok",
""
],
[
"Lee",
"Gilwon",
""
],
[
"Evans",
"Brian L.",
""
]
] | We investigate uplink user scheduling for millimeter wave (mmWave) hybrid analog/digital beamforming systems with low-resolution analog-to-digital converters (ADCs). Deriving new scheduling criteria for the mmWave systems, we show that the channel structure in the beamspace, in addition to the channel magnitude and ort... |
2305.01140 | Minkai Xu | Minkai Xu, Alexander Powers, Ron Dror, Stefano Ermon, Jure Leskovec | Geometric Latent Diffusion Models for 3D Molecule Generation | Published at ICML 2023 | null | null | null | cs.LG q-bio.QM | http://creativecommons.org/licenses/by/4.0/ | Generative models, especially diffusion models (DMs), have achieved promising
results for generating feature-rich geometries and advancing foundational
science problems such as molecule design. Inspired by the recent huge success
of Stable (latent) Diffusion models, we propose a novel and principled method
for 3D mol... | [
{
"created": "Tue, 2 May 2023 01:07:22 GMT",
"version": "v1"
}
] | 2023-05-03 | [
[
"Xu",
"Minkai",
""
],
[
"Powers",
"Alexander",
""
],
[
"Dror",
"Ron",
""
],
[
"Ermon",
"Stefano",
""
],
[
"Leskovec",
"Jure",
""
]
] | Generative models, especially diffusion models (DMs), have achieved promising results for generating feature-rich geometries and advancing foundational science problems such as molecule design. Inspired by the recent huge success of Stable (latent) Diffusion models, we propose a novel and principled method for 3D molec... |
1607.04320 | Roman Golubovski | Vanco Cabukovski, Roman Golubovski, Riste Temjanovski | Learning Repository Adaptibility in an Agent-Based University
Environment | 14 pages 4 figures | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Automated e-Learning Systems (AeLS) are fundamental to contemporary
educational concepts worldwide. It has become a standard not only in support to
the formal curriculum, but containing social platform capabilities,
gamification elements and functionalities fostering communities of experts,
also for faster knowledge ... | [
{
"created": "Wed, 13 Jul 2016 08:45:15 GMT",
"version": "v1"
}
] | 2016-07-18 | [
[
"Cabukovski",
"Vanco",
""
],
[
"Golubovski",
"Roman",
""
],
[
"Temjanovski",
"Riste",
""
]
] | Automated e-Learning Systems (AeLS) are fundamental to contemporary educational concepts worldwide. It has become a standard not only in support to the formal curriculum, but containing social platform capabilities, gamification elements and functionalities fostering communities of experts, also for faster knowledge di... |
2401.00434 | Cheng Deng | Zhouhan Lin, Cheng Deng, Le Zhou, Tianhang Zhang, Yi Xu, Yutong Xu,
Zhongmou He, Yuanyuan Shi, Beiya Dai, Yunchong Song, Boyi Zeng, Qiyuan Chen,
Yuxun Miao, Bo Xue, Shu Wang, Luoyi Fu, Weinan Zhang, Junxian He, Yunqiang
Zhu, Xinbing Wang, Chenghu Zhou | GeoGalactica: A Scientific Large Language Model in Geoscience | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large language models (LLMs) have achieved huge success for their general
knowledge and ability to solve a wide spectrum of tasks in natural language
processing (NLP). Due to their impressive abilities, LLMs have shed light on
potential inter-discipline applications to foster scientific discoveries of a
specific doma... | [
{
"created": "Sun, 31 Dec 2023 09:22:54 GMT",
"version": "v1"
},
{
"created": "Sat, 13 Apr 2024 17:05:03 GMT",
"version": "v2"
}
] | 2024-04-16 | [
[
"Lin",
"Zhouhan",
""
],
[
"Deng",
"Cheng",
""
],
[
"Zhou",
"Le",
""
],
[
"Zhang",
"Tianhang",
""
],
[
"Xu",
"Yi",
""
],
[
"Xu",
"Yutong",
""
],
[
"He",
"Zhongmou",
""
],
[
"Shi",
"Yuanyuan",
... | Large language models (LLMs) have achieved huge success for their general knowledge and ability to solve a wide spectrum of tasks in natural language processing (NLP). Due to their impressive abilities, LLMs have shed light on potential inter-discipline applications to foster scientific discoveries of a specific domain... |
2204.11526 | Su Lu | Su Lu, Han-Jia Ye, De-Chuan Zhan | Selective Cross-Task Distillation | null | null | null | null | cs.LG cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The outpouring of various pre-trained models empowers knowledge distillation
by providing abundant teacher resources, but there lacks a developed mechanism
to utilize these teachers adequately. With a massive model repository composed
of teachers pre-trained on diverse tasks, we must surmount two obstacles when
using... | [
{
"created": "Mon, 25 Apr 2022 09:34:37 GMT",
"version": "v1"
},
{
"created": "Thu, 16 Jun 2022 05:57:58 GMT",
"version": "v2"
},
{
"created": "Wed, 28 Sep 2022 01:43:56 GMT",
"version": "v3"
}
] | 2022-09-29 | [
[
"Lu",
"Su",
""
],
[
"Ye",
"Han-Jia",
""
],
[
"Zhan",
"De-Chuan",
""
]
] | The outpouring of various pre-trained models empowers knowledge distillation by providing abundant teacher resources, but there lacks a developed mechanism to utilize these teachers adequately. With a massive model repository composed of teachers pre-trained on diverse tasks, we must surmount two obstacles when using k... |
2007.02484 | Florian Richter | Florian Richter | Logic, Language, and Calculus | null | null | null | null | cs.LO cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The difference between object-language and metalanguage is crucial for
logical analysis, but has yet not been examined for the field of computer
science. In this paper the difference is examined with regard to inferential
relations. It is argued that inferential relations in a metalanguage (like a
calculus for propos... | [
{
"created": "Mon, 6 Jul 2020 00:52:54 GMT",
"version": "v1"
}
] | 2020-07-07 | [
[
"Richter",
"Florian",
""
]
] | The difference between object-language and metalanguage is crucial for logical analysis, but has yet not been examined for the field of computer science. In this paper the difference is examined with regard to inferential relations. It is argued that inferential relations in a metalanguage (like a calculus for proposit... |
2111.09815 | Dingwen Tao | Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck
Cappello | Improving Prediction-Based Lossy Compression Dramatically via
Ratio-Quality Modeling | 14 pages, 14 figures, published by IEEE ICDE 2022 | null | null | null | cs.DB cs.DC | http://creativecommons.org/licenses/by/4.0/ | Error-bounded lossy compression is one of the most effective techniques for
scientific data reduction. However, the traditional trial-and-error approach
used to configure lossy compressors for finding the optimal trade-off between
reconstructed data quality and compression ratio is prohibitively expensive. To
resolve... | [
{
"created": "Thu, 18 Nov 2021 17:29:42 GMT",
"version": "v1"
},
{
"created": "Sun, 28 Nov 2021 11:43:56 GMT",
"version": "v2"
},
{
"created": "Thu, 10 Mar 2022 01:11:10 GMT",
"version": "v3"
},
{
"created": "Wed, 23 Mar 2022 23:02:43 GMT",
"version": "v4"
},
{
"c... | 2022-05-09 | [
[
"Jin",
"Sian",
""
],
[
"Di",
"Sheng",
""
],
[
"Tian",
"Jiannan",
""
],
[
"Byna",
"Suren",
""
],
[
"Tao",
"Dingwen",
""
],
[
"Cappello",
"Franck",
""
]
] | Error-bounded lossy compression is one of the most effective techniques for scientific data reduction. However, the traditional trial-and-error approach used to configure lossy compressors for finding the optimal trade-off between reconstructed data quality and compression ratio is prohibitively expensive. To resolve t... |
2301.08564 | Spyridon Mastorakis | Sifat Ut Taki and Spyridon Mastorakis | An NDN-Enabled Fog Radio Access Network Architecture With Distributed
In-Network Caching | Accepted for publication by IEEE ICC 2023 | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | To meet the increasing demands of next-generation cellular networks (e.g.,
6G), advanced networking technologies must be incorporated. On one hand, the
Fog Radio Access Network (F-RAN), has been proposed as an enhancement to the
Cloud Radio Access Network (C-RAN). On the other hand, efficient network
architectures, s... | [
{
"created": "Wed, 18 Jan 2023 22:41:01 GMT",
"version": "v1"
}
] | 2023-01-23 | [
[
"Taki",
"Sifat Ut",
""
],
[
"Mastorakis",
"Spyridon",
""
]
] | To meet the increasing demands of next-generation cellular networks (e.g., 6G), advanced networking technologies must be incorporated. On one hand, the Fog Radio Access Network (F-RAN), has been proposed as an enhancement to the Cloud Radio Access Network (C-RAN). On the other hand, efficient network architectures, suc... |
1602.08680 | Shangwen Li | Shangwen Li, Sanjay Purushotham, Chen Chen, Yuzhuo Ren, and C.-C. Jay
Kuo | Measuring and Predicting Tag Importance for Image Retrieval | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Textual data such as tags, sentence descriptions are combined with visual
cues to reduce the semantic gap for image retrieval applications in today's
Multimodal Image Retrieval (MIR) systems. However, all tags are treated as
equally important in these systems, which may result in misalignment between
visual and textu... | [
{
"created": "Sun, 28 Feb 2016 07:38:25 GMT",
"version": "v1"
},
{
"created": "Thu, 14 Apr 2016 18:13:21 GMT",
"version": "v2"
},
{
"created": "Mon, 9 Jan 2017 22:32:36 GMT",
"version": "v3"
}
] | 2017-01-11 | [
[
"Li",
"Shangwen",
""
],
[
"Purushotham",
"Sanjay",
""
],
[
"Chen",
"Chen",
""
],
[
"Ren",
"Yuzhuo",
""
],
[
"Kuo",
"C. -C. Jay",
""
]
] | Textual data such as tags, sentence descriptions are combined with visual cues to reduce the semantic gap for image retrieval applications in today's Multimodal Image Retrieval (MIR) systems. However, all tags are treated as equally important in these systems, which may result in misalignment between visual and textual... |
1307.7429 | Seyyed Reza Khaze | Amin Babazadeh Sangar, Seyyed Reza Khaze, Laya Ebrahimi | Participation anticipating in elections using data mining methods | null | International Journal on Cybernetics & Informatics ( IJCI) Vol.2,
No.2, April2013 | null | null | cs.CY cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Anticipating the political behavior of people will be considerable help for
election candidates to assess the possibility of their success and to be
acknowledged about the public motivations to select them. In this paper, we
provide a general schematic of the architecture of participation anticipating
system in presi... | [
{
"created": "Mon, 29 Jul 2013 01:15:25 GMT",
"version": "v1"
}
] | 2013-07-31 | [
[
"Sangar",
"Amin Babazadeh",
""
],
[
"Khaze",
"Seyyed Reza",
""
],
[
"Ebrahimi",
"Laya",
""
]
] | Anticipating the political behavior of people will be considerable help for election candidates to assess the possibility of their success and to be acknowledged about the public motivations to select them. In this paper, we provide a general schematic of the architecture of participation anticipating system in preside... |
1011.2656 | Carsten Schneider | Johannes Bluemlein and Sebastian Klein and Carsten Schneider and
Flavia Stan | A Symbolic Summation Approach to Feynman Integral Calculus | null | J. Symbolic Comput. 47, pp. 1267-1289. 2012 | 10.1016/j.jsc.2011.12.044 | DESY 10-185, TTK-10-49, SFB-CPP/10-107 | cs.SC hep-ph hep-th math-ph math.MP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given a Feynman parameter integral, depending on a single discrete variable
$N$ and a real parameter $\epsilon$, we discuss a new algorithmic framework to
compute the first coefficients of its Laurent series expansion in $\epsilon$.
In a first step, the integrals are expressed by hypergeometric multi-sums by
means of... | [
{
"created": "Thu, 11 Nov 2010 13:49:35 GMT",
"version": "v1"
},
{
"created": "Wed, 30 May 2012 09:27:18 GMT",
"version": "v2"
}
] | 2012-05-31 | [
[
"Bluemlein",
"Johannes",
""
],
[
"Klein",
"Sebastian",
""
],
[
"Schneider",
"Carsten",
""
],
[
"Stan",
"Flavia",
""
]
] | Given a Feynman parameter integral, depending on a single discrete variable $N$ and a real parameter $\epsilon$, we discuss a new algorithmic framework to compute the first coefficients of its Laurent series expansion in $\epsilon$. In a first step, the integrals are expressed by hypergeometric multi-sums by means of s... |
2207.01229 | Susmit Agrawal | K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu | Segmentation Guided Deep HDR Deghosting | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | We present a motion segmentation guided convolutional neural network (CNN)
approach for high dynamic range (HDR) image deghosting. First, we segment the
moving regions in the input sequence using a CNN. Then, we merge static and
moving regions separately with different fusion networks and combine fused
features to ge... | [
{
"created": "Mon, 4 Jul 2022 06:49:27 GMT",
"version": "v1"
}
] | 2022-07-05 | [
[
"Prabhakar",
"K. Ram",
""
],
[
"Agrawal",
"Susmit",
""
],
[
"Babu",
"R. Venkatesh",
""
]
] | We present a motion segmentation guided convolutional neural network (CNN) approach for high dynamic range (HDR) image deghosting. First, we segment the moving regions in the input sequence using a CNN. Then, we merge static and moving regions separately with different fusion networks and combine fused features to gene... |
1906.00482 | Fabian Kuhn | Mohsen Ghaffari and Fabian Kuhn | On the Use of Randomness in Local Distributed Graph Algorithms | 21 pages, conference version in ACM Symp. on Principles of
Distributed Computing (PODC) 2019 | null | null | null | cs.DS cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We attempt to better understand randomization in local distributed graph
algorithms by exploring how randomness is used and what we can gain from it: -
We first ask the question of how much randomness is needed to obtain efficient
randomized algorithms. We show that for all locally checkable problems for
which polylo... | [
{
"created": "Sun, 2 Jun 2019 20:51:15 GMT",
"version": "v1"
}
] | 2019-06-04 | [
[
"Ghaffari",
"Mohsen",
""
],
[
"Kuhn",
"Fabian",
""
]
] | We attempt to better understand randomization in local distributed graph algorithms by exploring how randomness is used and what we can gain from it: - We first ask the question of how much randomness is needed to obtain efficient randomized algorithms. We show that for all locally checkable problems for which polylog ... |
2309.03023 | Heiko Paulheim | Patryk Preisner, Heiko Paulheim | Universal Preprocessing Operators for Embedding Knowledge Graphs with
Literals | Accepted for DL4KG Workshop at ISWC 2023 | null | null | null | cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Knowledge graph embeddings are dense numerical representations of entities in
a knowledge graph (KG). While the majority of approaches concentrate only on
relational information, i.e., relations between entities, fewer approaches
exist which also take information about literal values (e.g., textual
descriptions or nu... | [
{
"created": "Wed, 6 Sep 2023 14:08:46 GMT",
"version": "v1"
}
] | 2023-09-07 | [
[
"Preisner",
"Patryk",
""
],
[
"Paulheim",
"Heiko",
""
]
] | Knowledge graph embeddings are dense numerical representations of entities in a knowledge graph (KG). While the majority of approaches concentrate only on relational information, i.e., relations between entities, fewer approaches exist which also take information about literal values (e.g., textual descriptions or nume... |
cs/0604038 | Evgueni Petrov | E. Petrov, Yu. Kostov, E. Botoeva | UniCalc.LIN: a linear constraint solver for the UniCalc system | rejected by the programm committee of the conforence on Perspective
of System Informatics held in Novosibirsk, Russian Federation July 2006 | null | null | null | cs.MS cs.AI | null | In this short paper we present a linear constraint solver for the UniCalc
system, an environment for reliable solution of mathematical modeling problems.
| [
{
"created": "Mon, 10 Apr 2006 06:30:02 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Petrov",
"E.",
""
],
[
"Kostov",
"Yu.",
""
],
[
"Botoeva",
"E.",
""
]
] | In this short paper we present a linear constraint solver for the UniCalc system, an environment for reliable solution of mathematical modeling problems. |
2204.03873 | Cun Zhang | Cun Zhang, Xing-Peng Chen, Guo-Qiang Han, Xiang-Jie Liu | Spatial Transformer Network on Skeleton-based Gait Recognition | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Skeleton-based gait recognition models usually suffer from the robustness
problem, as the Rank-1 accuracy varies from 90\% in normal walking cases to
70\% in walking with coats cases. In this work, we propose a state-of-the-art
robust skeleton-based gait recognition model called Gait-TR, which is based on
the combina... | [
{
"created": "Fri, 8 Apr 2022 06:53:23 GMT",
"version": "v1"
}
] | 2022-04-11 | [
[
"Zhang",
"Cun",
""
],
[
"Chen",
"Xing-Peng",
""
],
[
"Han",
"Guo-Qiang",
""
],
[
"Liu",
"Xiang-Jie",
""
]
] | Skeleton-based gait recognition models usually suffer from the robustness problem, as the Rank-1 accuracy varies from 90\% in normal walking cases to 70\% in walking with coats cases. In this work, we propose a state-of-the-art robust skeleton-based gait recognition model called Gait-TR, which is based on the combinati... |
1902.02292 | Praveen Venkatesh | Praveen Venkatesh, Sanghamitra Dutta, Pulkit Grover | Information Flow in Computational Systems | Significantly revised version which was accepted for publication at
the IEEE Transactions on Information Theory | IEEE Transactions on Information Theory, September 2020 | 10.1109/TIT.2020.2987806 | Volume: 66, Issue: 9, pages 5456 - 5491 | cs.IT math.IT q-bio.NC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We develop a theoretical framework for defining and identifying flows of
information in computational systems. Here, a computational system is assumed
to be a directed graph, with "clocked" nodes that send transmissions to each
other along the edges of the graph at discrete points in time. We are
interested in a defi... | [
{
"created": "Wed, 6 Feb 2019 17:38:54 GMT",
"version": "v1"
},
{
"created": "Thu, 7 Feb 2019 21:13:46 GMT",
"version": "v2"
},
{
"created": "Mon, 2 Mar 2020 07:36:56 GMT",
"version": "v3"
}
] | 2023-07-21 | [
[
"Venkatesh",
"Praveen",
""
],
[
"Dutta",
"Sanghamitra",
""
],
[
"Grover",
"Pulkit",
""
]
] | We develop a theoretical framework for defining and identifying flows of information in computational systems. Here, a computational system is assumed to be a directed graph, with "clocked" nodes that send transmissions to each other along the edges of the graph at discrete points in time. We are interested in a defini... |
2308.03741 | Muhammad Bilal Shaikh | Muhammad Bilal Shaikh, Douglas Chai, Syed Mohammed Shamsul Islam and
Naveed Akhtar | MAiVAR-T: Multimodal Audio-image and Video Action Recognizer using
Transformers | 6 pages, 7 figures, 4 tables, Peer reviewed, Accepted @ The 11th
European Workshop on Visual Information Processing (EUVIP) will be held on
11th-14th September 2023, in Gj{\o}vik, Norway. arXiv admin note: text
overlap with arXiv:2103.15691 by other authors | null | null | null | cs.CV cs.AI cs.LG cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In line with the human capacity to perceive the world by simultaneously
processing and integrating high-dimensional inputs from multiple modalities
like vision and audio, we propose a novel model, MAiVAR-T (Multimodal
Audio-Image to Video Action Recognition Transformer). This model employs an
intuitive approach for t... | [
{
"created": "Tue, 1 Aug 2023 11:00:25 GMT",
"version": "v1"
}
] | 2023-08-08 | [
[
"Shaikh",
"Muhammad Bilal",
""
],
[
"Chai",
"Douglas",
""
],
[
"Islam",
"Syed Mohammed Shamsul",
""
],
[
"Akhtar",
"Naveed",
""
]
] | In line with the human capacity to perceive the world by simultaneously processing and integrating high-dimensional inputs from multiple modalities like vision and audio, we propose a novel model, MAiVAR-T (Multimodal Audio-Image to Video Action Recognition Transformer). This model employs an intuitive approach for the... |
0710.4649 | EDA Publishing Association | Praveen Ghanta, Sarma Vrudhula, Rajendran Panda, Janet Wang | Stochastic Power Grid Analysis Considering Process Variations | Submitted on behalf of EDAA (http://www.edaa.com/) | Dans Design, Automation and Test in Europe - DATE'05, Munich :
Allemagne (2005) | null | null | cs.AR | null | In this paper, we investigate the impact of interconnect and device process
variations on voltage fluctuations in power grids. We consider random
variations in the power grid's electrical parameters as spatial stochastic
processes and propose a new and efficient method to compute the stochastic
voltage response of th... | [
{
"created": "Thu, 25 Oct 2007 08:24:02 GMT",
"version": "v1"
}
] | 2011-11-09 | [
[
"Ghanta",
"Praveen",
""
],
[
"Vrudhula",
"Sarma",
""
],
[
"Panda",
"Rajendran",
""
],
[
"Wang",
"Janet",
""
]
] | In this paper, we investigate the impact of interconnect and device process variations on voltage fluctuations in power grids. We consider random variations in the power grid's electrical parameters as spatial stochastic processes and propose a new and efficient method to compute the stochastic voltage response of the ... |
1805.06213 | Makoto Naruse | Hayato Saigo, Makoto Naruse, Kazuya Okamura, Hirokazu Hori, Izumi
Ojima | Category theory as a foundation for soft robotics | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Soft robotics is an emerging field of research where the robot body is
composed of compliant and soft materials. It allows the body to bend, twist,
and deform to move or to adapt its shape to the environment for grasping, all
of which are difficult for traditional hard robots with rigid bodies. However,
the theoretic... | [
{
"created": "Wed, 16 May 2018 09:54:02 GMT",
"version": "v1"
},
{
"created": "Tue, 25 Sep 2018 13:26:41 GMT",
"version": "v2"
}
] | 2018-09-26 | [
[
"Saigo",
"Hayato",
""
],
[
"Naruse",
"Makoto",
""
],
[
"Okamura",
"Kazuya",
""
],
[
"Hori",
"Hirokazu",
""
],
[
"Ojima",
"Izumi",
""
]
] | Soft robotics is an emerging field of research where the robot body is composed of compliant and soft materials. It allows the body to bend, twist, and deform to move or to adapt its shape to the environment for grasping, all of which are difficult for traditional hard robots with rigid bodies. However, the theoretical... |
1912.10606 | L\^e Th\`anh D\~ung (Tito) Nguy\^en | L\^e Th\`anh D\~ung Nguy\^en | Complexity of correctness for pomset logic proof nets | Fully subsumed by arXiv:2209.07825 (which contains a lot more
material and has an additional coauthor) | null | null | null | cs.LO | http://creativecommons.org/licenses/by/4.0/ | We show that it is coNP-complete to decide whether a given proof structure of
pomset logic is a correct proof net, using the graph-theoretic used in a
previous paper of ours (arXiv:1901.10247).
| [
{
"created": "Mon, 23 Dec 2019 03:41:32 GMT",
"version": "v1"
},
{
"created": "Mon, 6 Jan 2020 17:58:41 GMT",
"version": "v2"
},
{
"created": "Wed, 22 Jan 2020 16:48:35 GMT",
"version": "v3"
},
{
"created": "Mon, 23 Jan 2023 00:13:20 GMT",
"version": "v4"
}
] | 2023-01-24 | [
[
"Nguyên",
"Lê Thành Dũng",
""
]
] | We show that it is coNP-complete to decide whether a given proof structure of pomset logic is a correct proof net, using the graph-theoretic used in a previous paper of ours (arXiv:1901.10247). |
2005.07727 | David Bau iii | David Bau, Hendrik Strobelt, William Peebles, Jonas Wulff, Bolei Zhou,
Jun-Yan Zhu, Antonio Torralba | Semantic Photo Manipulation with a Generative Image Prior | SIGGRAPH 2019 | ACM Transactions on Graphics (TOG) 38.4 (2019) | 10.1145/3306346.3323023 | null | cs.CV cs.GR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Despite the recent success of GANs in synthesizing images conditioned on
inputs such as a user sketch, text, or semantic labels, manipulating the
high-level attributes of an existing natural photograph with GANs is
challenging for two reasons. First, it is hard for GANs to precisely reproduce
an input image. Second, ... | [
{
"created": "Fri, 15 May 2020 18:22:05 GMT",
"version": "v1"
},
{
"created": "Sat, 12 Sep 2020 19:53:55 GMT",
"version": "v2"
}
] | 2020-09-15 | [
[
"Bau",
"David",
""
],
[
"Strobelt",
"Hendrik",
""
],
[
"Peebles",
"William",
""
],
[
"Wulff",
"Jonas",
""
],
[
"Zhou",
"Bolei",
""
],
[
"Zhu",
"Jun-Yan",
""
],
[
"Torralba",
"Antonio",
""
]
] | Despite the recent success of GANs in synthesizing images conditioned on inputs such as a user sketch, text, or semantic labels, manipulating the high-level attributes of an existing natural photograph with GANs is challenging for two reasons. First, it is hard for GANs to precisely reproduce an input image. Second, af... |
2404.17036 | Yoonha Cha | Yoonha Cha, Victoria Jackson, Isabela Figueira, Stacy M. Branham,
Andr\'e van der Hoek | Understanding the Career Mobility of Blind and Low Vision Software
Professionals | 12 pages, 1 table, conference paper, 2024 ACM / IEEE 17th
International Conference on Cooperative and Human Aspects of Software
Engineering | null | 10.1145/3641822.3641872 | null | cs.SE cs.HC | http://creativecommons.org/licenses/by/4.0/ | Context: Scholars in the software engineering (SE) research community have
investigated career advancement in the software industry. Research topics have
included how individual and external factors can impact career mobility of
software professionals, and how gender affects career advancement. However, the
community... | [
{
"created": "Thu, 25 Apr 2024 20:51:56 GMT",
"version": "v1"
}
] | 2024-04-29 | [
[
"Cha",
"Yoonha",
""
],
[
"Jackson",
"Victoria",
""
],
[
"Figueira",
"Isabela",
""
],
[
"Branham",
"Stacy M.",
""
],
[
"van der Hoek",
"André",
""
]
] | Context: Scholars in the software engineering (SE) research community have investigated career advancement in the software industry. Research topics have included how individual and external factors can impact career mobility of software professionals, and how gender affects career advancement. However, the community h... |
2005.14347 | Pieter van Goor | Pieter van Goor, Robert Mahony, Tarek Hamel, Jochen Trumpf | An Observer Design for Visual Simultaneous Localisation and Mapping with
Output Equivariance | 11 pages, 3 figures, to be published as {van Goor, P., Mahony, R.,
Hamel, T., Trumpf, J. (2020). An Observer Design for Visual Simultaneous
Localisation and Mapping with Output Equivariance. In Proceedings of 21st
IFAC World Congress 2020.} | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Visual Simultaneous Localisation and Mapping (VSLAM) is a key enabling
technology for small embedded robotic systems such as aerial vehicles. Recent
advances in equivariant filter and observer design offer the potential of a new
generation of highly robust algorithms with low memory and computation
requirements for e... | [
{
"created": "Fri, 29 May 2020 00:14:08 GMT",
"version": "v1"
}
] | 2020-06-01 | [
[
"van Goor",
"Pieter",
""
],
[
"Mahony",
"Robert",
""
],
[
"Hamel",
"Tarek",
""
],
[
"Trumpf",
"Jochen",
""
]
] | Visual Simultaneous Localisation and Mapping (VSLAM) is a key enabling technology for small embedded robotic systems such as aerial vehicles. Recent advances in equivariant filter and observer design offer the potential of a new generation of highly robust algorithms with low memory and computation requirements for emb... |
2406.13173 | Hejie Cui | Hejie Cui, Lingjun Mao, Xin Liang, Jieyu Zhang, Hui Ren, Quanzheng Li,
Xiang Li, Carl Yang | Biomedical Visual Instruction Tuning with Clinician Preference Alignment | null | null | null | null | cs.CV cs.AI cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advancements in multimodal foundation models have showcased impressive
capabilities in understanding and reasoning with visual and textual
information. Adapting these foundation models trained for general usage to
specialized domains like biomedicine requires large-scale domain-specific
instruction datasets. W... | [
{
"created": "Wed, 19 Jun 2024 03:07:33 GMT",
"version": "v1"
},
{
"created": "Sun, 30 Jun 2024 01:22:09 GMT",
"version": "v2"
},
{
"created": "Tue, 16 Jul 2024 05:56:05 GMT",
"version": "v3"
}
] | 2024-07-17 | [
[
"Cui",
"Hejie",
""
],
[
"Mao",
"Lingjun",
""
],
[
"Liang",
"Xin",
""
],
[
"Zhang",
"Jieyu",
""
],
[
"Ren",
"Hui",
""
],
[
"Li",
"Quanzheng",
""
],
[
"Li",
"Xiang",
""
],
[
"Yang",
"Carl",
""... | Recent advancements in multimodal foundation models have showcased impressive capabilities in understanding and reasoning with visual and textual information. Adapting these foundation models trained for general usage to specialized domains like biomedicine requires large-scale domain-specific instruction datasets. Whi... |
2212.09988 | Ke Zhao | Ke Zhao, Haining Tan, Tsz Fung Yau | Multi-Reference Image Super-Resolution: A Posterior Fusion Approach | null | null | null | null | cs.CV eess.IV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Reference-based Super-resolution (RefSR) approaches have recently been
proposed to overcome the ill-posed problem of image super-resolution by
providing additional information from a high-resolution image. Multi-reference
super-resolution extends this approach by allowing more information to be
incorporated. This pap... | [
{
"created": "Tue, 20 Dec 2022 04:15:03 GMT",
"version": "v1"
}
] | 2022-12-21 | [
[
"Zhao",
"Ke",
""
],
[
"Tan",
"Haining",
""
],
[
"Yau",
"Tsz Fung",
""
]
] | Reference-based Super-resolution (RefSR) approaches have recently been proposed to overcome the ill-posed problem of image super-resolution by providing additional information from a high-resolution image. Multi-reference super-resolution extends this approach by allowing more information to be incorporated. This paper... |
2305.05317 | Xia Wu | X. Wu, W. Lu, X. P. Qin, X. W. Cao | Minimal Linear Codes Constructed from hierarchical posets with two
levels | arXiv admin note: text overlap with arXiv:1911.11632,
arXiv:1911.07648 | null | null | null | cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | J. Y. Hyun, et al. (Des. Codes Cryptogr., vol. 88, pp. 2475-2492, 2020)
constructed some optimal and minimal binary linear codes generated by one or
two order ideals in hierarchical posets of two levels. At the end of their
paper, they left an open problem: it also should be interesting to investigate
the cases of mo... | [
{
"created": "Tue, 9 May 2023 10:12:17 GMT",
"version": "v1"
}
] | 2023-05-10 | [
[
"Wu",
"X.",
""
],
[
"Lu",
"W.",
""
],
[
"Qin",
"X. P.",
""
],
[
"Cao",
"X. W.",
""
]
] | J. Y. Hyun, et al. (Des. Codes Cryptogr., vol. 88, pp. 2475-2492, 2020) constructed some optimal and minimal binary linear codes generated by one or two order ideals in hierarchical posets of two levels. At the end of their paper, they left an open problem: it also should be interesting to investigate the cases of more... |
2207.04806 | Melanie F. Pradier | Ryutaro Tanno, Melanie F. Pradier, Aditya Nori, Yingzhen Li | Repairing Neural Networks by Leaving the Right Past Behind | 24 pages, 12 figures | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Prediction failures of machine learning models often arise from deficiencies
in training data, such as incorrect labels, outliers, and selection biases.
However, such data points that are responsible for a given failure mode are
generally not known a priori, let alone a mechanism for repairing the failure.
This work ... | [
{
"created": "Mon, 11 Jul 2022 12:07:39 GMT",
"version": "v1"
},
{
"created": "Wed, 9 Nov 2022 21:04:59 GMT",
"version": "v2"
}
] | 2022-11-11 | [
[
"Tanno",
"Ryutaro",
""
],
[
"Pradier",
"Melanie F.",
""
],
[
"Nori",
"Aditya",
""
],
[
"Li",
"Yingzhen",
""
]
] | Prediction failures of machine learning models often arise from deficiencies in training data, such as incorrect labels, outliers, and selection biases. However, such data points that are responsible for a given failure mode are generally not known a priori, let alone a mechanism for repairing the failure. This work dr... |
2310.08221 | Minseok Choi | Minseok Choi, Chaeheon Gwak, Seho Kim, Si Hyeong Kim, Jaegul Choo | SimCKP: Simple Contrastive Learning of Keyphrase Representations | Accepted to Findings of EMNLP 2023 | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Keyphrase generation (KG) aims to generate a set of summarizing words or
phrases given a source document, while keyphrase extraction (KE) aims to
identify them from the text. Because the search space is much smaller in KE, it
is often combined with KG to predict keyphrases that may or may not exist in
the correspondi... | [
{
"created": "Thu, 12 Oct 2023 11:11:54 GMT",
"version": "v1"
}
] | 2023-10-13 | [
[
"Choi",
"Minseok",
""
],
[
"Gwak",
"Chaeheon",
""
],
[
"Kim",
"Seho",
""
],
[
"Kim",
"Si Hyeong",
""
],
[
"Choo",
"Jaegul",
""
]
] | Keyphrase generation (KG) aims to generate a set of summarizing words or phrases given a source document, while keyphrase extraction (KE) aims to identify them from the text. Because the search space is much smaller in KE, it is often combined with KG to predict keyphrases that may or may not exist in the corresponding... |
2108.13051 | Edoardo Ramalli | Edoardo Ramalli, Alberto Parravicini, Guido Walter Di Donato, Mirko
Salaris, C\'eline Hudelot, Marco Domenico Santambrogio | Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph
Embedding | 5 pages, IEEE BioCAS 2021 | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Drug repurposing is more relevant than ever due to drug development's rising
costs and the need to respond to emerging diseases quickly. Knowledge graph
embedding enables drug repurposing using heterogeneous data sources combined
with state-of-the-art machine learning models to predict new drug-disease links
in the k... | [
{
"created": "Mon, 30 Aug 2021 08:16:02 GMT",
"version": "v1"
}
] | 2021-08-31 | [
[
"Ramalli",
"Edoardo",
""
],
[
"Parravicini",
"Alberto",
""
],
[
"Di Donato",
"Guido Walter",
""
],
[
"Salaris",
"Mirko",
""
],
[
"Hudelot",
"Céline",
""
],
[
"Santambrogio",
"Marco Domenico",
""
]
] | Drug repurposing is more relevant than ever due to drug development's rising costs and the need to respond to emerging diseases quickly. Knowledge graph embedding enables drug repurposing using heterogeneous data sources combined with state-of-the-art machine learning models to predict new drug-disease links in the kno... |
2303.00289 | Xiameng Qin | Yuechen Yu, Yulin Li, Chengquan Zhang, Xiaoqiang Zhang, Zengyuan Guo,
Xiameng Qin, Kun Yao, Junyu Han, Errui Ding, Jingdong Wang | StrucTexTv2: Masked Visual-Textual Prediction for Document Image
Pre-training | ICLR 2023 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we present StrucTexTv2, an effective document image
pre-training framework, by performing masked visual-textual prediction. It
consists of two self-supervised pre-training tasks: masked image modeling and
masked language modeling, based on text region-level image masking. The
proposed method randomly m... | [
{
"created": "Wed, 1 Mar 2023 07:32:51 GMT",
"version": "v1"
}
] | 2023-03-02 | [
[
"Yu",
"Yuechen",
""
],
[
"Li",
"Yulin",
""
],
[
"Zhang",
"Chengquan",
""
],
[
"Zhang",
"Xiaoqiang",
""
],
[
"Guo",
"Zengyuan",
""
],
[
"Qin",
"Xiameng",
""
],
[
"Yao",
"Kun",
""
],
[
"Han",
"Jun... | In this paper, we present StrucTexTv2, an effective document image pre-training framework, by performing masked visual-textual prediction. It consists of two self-supervised pre-training tasks: masked image modeling and masked language modeling, based on text region-level image masking. The proposed method randomly mas... |
2006.05082 | Xinshi Chen | Xinshi Chen, Hanjun Dai, Yu Li, Xin Gao, Le Song | Learning to Stop While Learning to Predict | Proceedings of the 37th International Conference on Machine Learning | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | There is a recent surge of interest in designing deep architectures based on
the update steps in traditional algorithms, or learning neural networks to
improve and replace traditional algorithms. While traditional algorithms have
certain stopping criteria for outputting results at different iterations, many
algorithm... | [
{
"created": "Tue, 9 Jun 2020 07:22:01 GMT",
"version": "v1"
}
] | 2020-06-11 | [
[
"Chen",
"Xinshi",
""
],
[
"Dai",
"Hanjun",
""
],
[
"Li",
"Yu",
""
],
[
"Gao",
"Xin",
""
],
[
"Song",
"Le",
""
]
] | There is a recent surge of interest in designing deep architectures based on the update steps in traditional algorithms, or learning neural networks to improve and replace traditional algorithms. While traditional algorithms have certain stopping criteria for outputting results at different iterations, many algorithm-i... |
2003.01593 | Benjamin Finley | Abhishek Kumar, Benjamin Finley, Tristan Braud, Sasu Tarkoma, Pan Hui | Marketplace for AI Models | null | null | null | null | cs.CY cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Artificial intelligence shows promise for solving many practical societal
problems in areas such as healthcare and transportation. However, the current
mechanisms for AI model diffusion such as Github code repositories, academic
project webpages, and commercial AI marketplaces have some limitations; for
example, a la... | [
{
"created": "Tue, 3 Mar 2020 15:27:30 GMT",
"version": "v1"
}
] | 2020-03-04 | [
[
"Kumar",
"Abhishek",
""
],
[
"Finley",
"Benjamin",
""
],
[
"Braud",
"Tristan",
""
],
[
"Tarkoma",
"Sasu",
""
],
[
"Hui",
"Pan",
""
]
] | Artificial intelligence shows promise for solving many practical societal problems in areas such as healthcare and transportation. However, the current mechanisms for AI model diffusion such as Github code repositories, academic project webpages, and commercial AI marketplaces have some limitations; for example, a lack... |
2010.12268 | Jianan Wang | Jianan Wang, Eren Sezener, David Budden, Marcus Hutter, Joel Veness | A Combinatorial Perspective on Transfer Learning | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Human intelligence is characterized not only by the capacity to learn complex
skills, but the ability to rapidly adapt and acquire new skills within an
ever-changing environment. In this work we study how the learning of modular
solutions can allow for effective generalization to both unseen and potentially
different... | [
{
"created": "Fri, 23 Oct 2020 09:53:31 GMT",
"version": "v1"
}
] | 2020-10-26 | [
[
"Wang",
"Jianan",
""
],
[
"Sezener",
"Eren",
""
],
[
"Budden",
"David",
""
],
[
"Hutter",
"Marcus",
""
],
[
"Veness",
"Joel",
""
]
] | Human intelligence is characterized not only by the capacity to learn complex skills, but the ability to rapidly adapt and acquire new skills within an ever-changing environment. In this work we study how the learning of modular solutions can allow for effective generalization to both unseen and potentially differently... |
2311.17030 | Aleksandar Makelov | Aleksandar Makelov, Georg Lange, Neel Nanda | Is This the Subspace You Are Looking for? An Interpretability Illusion
for Subspace Activation Patching | NeurIPS 2023 Workshop on Attributing Model Behavior at Scale | null | null | null | cs.LG cs.AI cs.CL | http://creativecommons.org/licenses/by/4.0/ | Mechanistic interpretability aims to understand model behaviors in terms of
specific, interpretable features, often hypothesized to manifest as
low-dimensional subspaces of activations. Specifically, recent studies have
explored subspace interventions (such as activation patching) as a way to
simultaneously manipulat... | [
{
"created": "Tue, 28 Nov 2023 18:32:19 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Dec 2023 14:28:46 GMT",
"version": "v2"
}
] | 2023-12-07 | [
[
"Makelov",
"Aleksandar",
""
],
[
"Lange",
"Georg",
""
],
[
"Nanda",
"Neel",
""
]
] | Mechanistic interpretability aims to understand model behaviors in terms of specific, interpretable features, often hypothesized to manifest as low-dimensional subspaces of activations. Specifically, recent studies have explored subspace interventions (such as activation patching) as a way to simultaneously manipulate ... |
1712.07474 | Johann Makowsky | J.A. Makowsky | Can one design a geometry engine? On the (un)decidability of affine
Euclidean geometries | 28 pages, revised version, May 25, 2018 | null | null | null | cs.SC | http://creativecommons.org/publicdomain/zero/1.0/ | We survey the status of decidabilty of the consequence relation in various
axiomatizations of Euclidean geometry. We draw attention to a widely overlooked
result by Martin Ziegler from 1980, which proves Tarski's conjecture on the
undecidability of finitely axiomatizable theories of fields. We elaborate on
how to use... | [
{
"created": "Wed, 20 Dec 2017 13:29:12 GMT",
"version": "v1"
},
{
"created": "Wed, 23 May 2018 10:51:54 GMT",
"version": "v2"
},
{
"created": "Fri, 1 Jun 2018 07:57:08 GMT",
"version": "v3"
}
] | 2018-06-04 | [
[
"Makowsky",
"J. A.",
""
]
] | We survey the status of decidabilty of the consequence relation in various axiomatizations of Euclidean geometry. We draw attention to a widely overlooked result by Martin Ziegler from 1980, which proves Tarski's conjecture on the undecidability of finitely axiomatizable theories of fields. We elaborate on how to use Z... |
2006.07159 | Lucas Beyer | Lucas Beyer and Olivier J. H\'enaff and Alexander Kolesnikov and
Xiaohua Zhai and A\"aron van den Oord | Are we done with ImageNet? | All five authors contributed equally. New labels at
https://github.com/google-research/reassessed-imagenet | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Yes, and no. We ask whether recent progress on the ImageNet classification
benchmark continues to represent meaningful generalization, or whether the
community has started to overfit to the idiosyncrasies of its labeling
procedure. We therefore develop a significantly more robust procedure for
collecting human annota... | [
{
"created": "Fri, 12 Jun 2020 13:17:25 GMT",
"version": "v1"
}
] | 2020-06-15 | [
[
"Beyer",
"Lucas",
""
],
[
"Hénaff",
"Olivier J.",
""
],
[
"Kolesnikov",
"Alexander",
""
],
[
"Zhai",
"Xiaohua",
""
],
[
"Oord",
"Aäron van den",
""
]
] | Yes, and no. We ask whether recent progress on the ImageNet classification benchmark continues to represent meaningful generalization, or whether the community has started to overfit to the idiosyncrasies of its labeling procedure. We therefore develop a significantly more robust procedure for collecting human annotati... |
2306.09805 | Joao A. Candido Ramos | Jo\~ao A. C\^andido Ramos, Lionel Blond\'e, Naoya Takeishi and
Alexandros Kalousis | Mimicking Better by Matching the Approximate Action Distribution | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | In this paper, we introduce MAAD, a novel, sample-efficient on-policy
algorithm for Imitation Learning from Observations. MAAD utilizes a surrogate
reward signal, which can be derived from various sources such as adversarial
games, trajectory matching objectives, or optimal transport criteria. To
compensate for the n... | [
{
"created": "Fri, 16 Jun 2023 12:43:47 GMT",
"version": "v1"
},
{
"created": "Fri, 9 Feb 2024 16:04:42 GMT",
"version": "v2"
}
] | 2024-02-12 | [
[
"Ramos",
"João A. Cândido",
""
],
[
"Blondé",
"Lionel",
""
],
[
"Takeishi",
"Naoya",
""
],
[
"Kalousis",
"Alexandros",
""
]
] | In this paper, we introduce MAAD, a novel, sample-efficient on-policy algorithm for Imitation Learning from Observations. MAAD utilizes a surrogate reward signal, which can be derived from various sources such as adversarial games, trajectory matching objectives, or optimal transport criteria. To compensate for the non... |
2012.00135 | Yingtai Xiao | Yingtai Xiao, Zeyu Ding, Yuxin Wang, Danfeng Zhang, Daniel Kifer | Optimizing Fitness-For-Use of Differentially Private Linear Queries | null | null | null | null | cs.DB | http://creativecommons.org/licenses/by/4.0/ | In practice, differentially private data releases are designed to support a
variety of applications. A data release is fit for use if it meets target
accuracy requirements for each application. In this paper, we consider the
problem of answering linear queries under differential privacy subject to
per-query accuracy ... | [
{
"created": "Mon, 30 Nov 2020 22:10:21 GMT",
"version": "v1"
},
{
"created": "Wed, 2 Dec 2020 01:14:08 GMT",
"version": "v2"
},
{
"created": "Mon, 28 Dec 2020 16:22:22 GMT",
"version": "v3"
},
{
"created": "Fri, 19 Mar 2021 02:26:31 GMT",
"version": "v4"
},
{
"cr... | 2021-06-15 | [
[
"Xiao",
"Yingtai",
""
],
[
"Ding",
"Zeyu",
""
],
[
"Wang",
"Yuxin",
""
],
[
"Zhang",
"Danfeng",
""
],
[
"Kifer",
"Daniel",
""
]
] | In practice, differentially private data releases are designed to support a variety of applications. A data release is fit for use if it meets target accuracy requirements for each application. In this paper, we consider the problem of answering linear queries under differential privacy subject to per-query accuracy co... |
2112.06223 | Holy Lovenia | Holy Lovenia, Samuel Cahyawijaya, Genta Indra Winata, Peng Xu, Xu Yan,
Zihan Liu, Rita Frieske, Tiezheng Yu, Wenliang Dai, Elham J. Barezi, Qifeng
Chen, Xiaojuan Ma, Bertram E. Shi, Pascale Fung | ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in
Multi-turn Conversation | null | Proceedings of the 13th Conference on Language Resources and
Evaluation (LREC 2022) | null | null | cs.CL | http://creativecommons.org/licenses/by-sa/4.0/ | Code-switching is a speech phenomenon occurring when a speaker switches
language during a conversation. Despite the spontaneous nature of
code-switching in conversational spoken language, most existing works collect
code-switching data from read speech instead of spontaneous speech. ASCEND (A
Spontaneous Chinese-Engl... | [
{
"created": "Sun, 12 Dec 2021 12:59:20 GMT",
"version": "v1"
},
{
"created": "Fri, 17 Dec 2021 17:11:30 GMT",
"version": "v2"
},
{
"created": "Fri, 7 Jan 2022 14:46:18 GMT",
"version": "v3"
},
{
"created": "Sun, 16 Jan 2022 08:27:45 GMT",
"version": "v4"
},
{
"cr... | 2022-09-07 | [
[
"Lovenia",
"Holy",
""
],
[
"Cahyawijaya",
"Samuel",
""
],
[
"Winata",
"Genta Indra",
""
],
[
"Xu",
"Peng",
""
],
[
"Yan",
"Xu",
""
],
[
"Liu",
"Zihan",
""
],
[
"Frieske",
"Rita",
""
],
[
"Yu",
"... | Code-switching is a speech phenomenon occurring when a speaker switches language during a conversation. Despite the spontaneous nature of code-switching in conversational spoken language, most existing works collect code-switching data from read speech instead of spontaneous speech. ASCEND (A Spontaneous Chinese-Englis... |
2105.04181 | Mengqi Xue | Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli
Song | KDExplainer: A Task-oriented Attention Model for Explaining Knowledge
Distillation | 7 pages, 4 figures, accepted to IJCAI 2021 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Knowledge distillation (KD) has recently emerged as an efficacious scheme for
learning compact deep neural networks (DNNs). Despite the promising results
achieved, the rationale that interprets the behavior of KD has yet remained
largely understudied. In this paper, we introduce a novel task-oriented
attention model,... | [
{
"created": "Mon, 10 May 2021 08:15:26 GMT",
"version": "v1"
},
{
"created": "Wed, 12 May 2021 11:54:17 GMT",
"version": "v2"
}
] | 2021-05-13 | [
[
"Xue",
"Mengqi",
""
],
[
"Song",
"Jie",
""
],
[
"Wang",
"Xinchao",
""
],
[
"Chen",
"Ying",
""
],
[
"Wang",
"Xingen",
""
],
[
"Song",
"Mingli",
""
]
] | Knowledge distillation (KD) has recently emerged as an efficacious scheme for learning compact deep neural networks (DNNs). Despite the promising results achieved, the rationale that interprets the behavior of KD has yet remained largely understudied. In this paper, we introduce a novel task-oriented attention model, t... |
2306.05123 | Fouad Oubari | Fouad Oubari, Raphael Meunier, Rodrigue D\'ecatoire, Mathilde Mougeot | A Meta-Generation framework for Industrial System Generation | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Generative design is an increasingly important tool in the industrial world.
It allows the designers and engineers to easily explore vast ranges of design
options, providing a cheaper and faster alternative to the trial and failure
approaches. Thanks to the flexibility they offer, Deep Generative Models are
gaining p... | [
{
"created": "Thu, 8 Jun 2023 11:47:02 GMT",
"version": "v1"
}
] | 2023-06-09 | [
[
"Oubari",
"Fouad",
""
],
[
"Meunier",
"Raphael",
""
],
[
"Décatoire",
"Rodrigue",
""
],
[
"Mougeot",
"Mathilde",
""
]
] | Generative design is an increasingly important tool in the industrial world. It allows the designers and engineers to easily explore vast ranges of design options, providing a cheaper and faster alternative to the trial and failure approaches. Thanks to the flexibility they offer, Deep Generative Models are gaining pop... |
0908.2256 | Viswanath Nagarajan | Nikhil Bansal, Nitish Korula, Viswanath Nagarajan and Aravind
Srinivasan | On k-Column Sparse Packing Programs | 19 pages, v3: additional details | null | 10.1007/978-3-642-13036-6_28 | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the class of packing integer programs (PIPs) that are column
sparse, i.e. there is a specified upper bound k on the number of constraints
that each variable appears in. We give an (ek+o(k))-approximation algorithm for
k-column sparse PIPs, improving on recent results of $k^2\cdot 2^k$ and
$O(k^2)$. We als... | [
{
"created": "Sun, 16 Aug 2009 17:55:03 GMT",
"version": "v1"
},
{
"created": "Wed, 30 Sep 2009 02:27:09 GMT",
"version": "v2"
},
{
"created": "Sun, 14 Mar 2010 15:29:51 GMT",
"version": "v3"
}
] | 2015-05-13 | [
[
"Bansal",
"Nikhil",
""
],
[
"Korula",
"Nitish",
""
],
[
"Nagarajan",
"Viswanath",
""
],
[
"Srinivasan",
"Aravind",
""
]
] | We consider the class of packing integer programs (PIPs) that are column sparse, i.e. there is a specified upper bound k on the number of constraints that each variable appears in. We give an (ek+o(k))-approximation algorithm for k-column sparse PIPs, improving on recent results of $k^2\cdot 2^k$ and $O(k^2)$. We also ... |
2307.00856 | Xinhang Li | Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Yong Li, Cheng Long,
Yong Zhang, Chunxiao Xing | OpenSiteRec: An Open Dataset for Site Recommendation | null | null | null | null | cs.IR cs.AI | http://creativecommons.org/licenses/by/4.0/ | As a representative information retrieval task, site recommendation, which
aims at predicting the optimal sites for a brand or an institution to open new
branches in an automatic data-driven way, is beneficial and crucial for brand
development in modern business. However, there is no publicly available dataset
so far... | [
{
"created": "Mon, 3 Jul 2023 08:54:32 GMT",
"version": "v1"
}
] | 2023-07-04 | [
[
"Li",
"Xinhang",
""
],
[
"Zhao",
"Xiangyu",
""
],
[
"Wang",
"Yejing",
""
],
[
"Liu",
"Yu",
""
],
[
"Li",
"Yong",
""
],
[
"Long",
"Cheng",
""
],
[
"Zhang",
"Yong",
""
],
[
"Xing",
"Chunxiao",
... | As a representative information retrieval task, site recommendation, which aims at predicting the optimal sites for a brand or an institution to open new branches in an automatic data-driven way, is beneficial and crucial for brand development in modern business. However, there is no publicly available dataset so far a... |
2310.01235 | Patrick Pfreundschuh | Patrick Pfreundschuh, Helen Oleynikova, Cesar Cadena, Roland Siegwart,
Olov Andersson | COIN-LIO: Complementary Intensity-Augmented LiDAR Inertial Odometry | null | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | We present COIN-LIO, a LiDAR Inertial Odometry pipeline that tightly couples
information from LiDAR intensity with geometry-based point cloud registration.
The focus of our work is to improve the robustness of LiDAR-inertial odometry
in geometrically degenerate scenarios, like tunnels or flat fields. We project
LiDAR... | [
{
"created": "Mon, 2 Oct 2023 14:24:38 GMT",
"version": "v1"
},
{
"created": "Wed, 8 Nov 2023 10:15:53 GMT",
"version": "v2"
},
{
"created": "Thu, 25 Apr 2024 13:46:52 GMT",
"version": "v3"
},
{
"created": "Thu, 30 May 2024 16:50:54 GMT",
"version": "v4"
}
] | 2024-05-31 | [
[
"Pfreundschuh",
"Patrick",
""
],
[
"Oleynikova",
"Helen",
""
],
[
"Cadena",
"Cesar",
""
],
[
"Siegwart",
"Roland",
""
],
[
"Andersson",
"Olov",
""
]
] | We present COIN-LIO, a LiDAR Inertial Odometry pipeline that tightly couples information from LiDAR intensity with geometry-based point cloud registration. The focus of our work is to improve the robustness of LiDAR-inertial odometry in geometrically degenerate scenarios, like tunnels or flat fields. We project LiDAR i... |
2006.12708 | Mingyuan Mao | Mingyuan Mao, Yuxin Tian, Baochang Zhang, Qixiang Ye, Wanquan Liu,
Guodong Guo, David Doermann | iffDetector: Inference-aware Feature Filtering for Object Detection | 14 pages, 6 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern CNN-based object detectors focus on feature configuration during
training but often ignore feature optimization during inference. In this paper,
we propose a new feature optimization approach to enhance features and suppress
background noise in both the training and inference stages. We introduce a
generic Inf... | [
{
"created": "Tue, 23 Jun 2020 02:57:29 GMT",
"version": "v1"
}
] | 2020-06-24 | [
[
"Mao",
"Mingyuan",
""
],
[
"Tian",
"Yuxin",
""
],
[
"Zhang",
"Baochang",
""
],
[
"Ye",
"Qixiang",
""
],
[
"Liu",
"Wanquan",
""
],
[
"Guo",
"Guodong",
""
],
[
"Doermann",
"David",
""
]
] | Modern CNN-based object detectors focus on feature configuration during training but often ignore feature optimization during inference. In this paper, we propose a new feature optimization approach to enhance features and suppress background noise in both the training and inference stages. We introduce a generic Infer... |
2203.04050 | Erkang Cheng | Lang Peng, Zhirong Chen, Zhangjie Fu, Pengpeng Liang, Erkang Cheng | BEVSegFormer: Bird's Eye View Semantic Segmentation From Arbitrary
Camera Rigs | Accepted at the IEEE Winter Conference on Applications of Computer
Vision, WACV 2023 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Semantic segmentation in bird's eye view (BEV) is an important task for
autonomous driving. Though this task has attracted a large amount of research
efforts, it is still challenging to flexibly cope with arbitrary (single or
multiple) camera sensors equipped on the autonomous vehicle. In this paper, we
present BEVSe... | [
{
"created": "Tue, 8 Mar 2022 12:39:51 GMT",
"version": "v1"
},
{
"created": "Sun, 13 Mar 2022 04:29:34 GMT",
"version": "v2"
},
{
"created": "Wed, 17 Aug 2022 03:28:41 GMT",
"version": "v3"
}
] | 2022-08-19 | [
[
"Peng",
"Lang",
""
],
[
"Chen",
"Zhirong",
""
],
[
"Fu",
"Zhangjie",
""
],
[
"Liang",
"Pengpeng",
""
],
[
"Cheng",
"Erkang",
""
]
] | Semantic segmentation in bird's eye view (BEV) is an important task for autonomous driving. Though this task has attracted a large amount of research efforts, it is still challenging to flexibly cope with arbitrary (single or multiple) camera sensors equipped on the autonomous vehicle. In this paper, we present BEVSegF... |
1811.06042 | Christian Samuel Perone | Christian S. Perone, Pedro Ballester, Rodrigo C. Barros, Julien
Cohen-Adad | Unsupervised domain adaptation for medical imaging segmentation with
self-ensembling | 15 pages, 9 figures | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Recent advances in deep learning methods have come to define the
state-of-the-art for many medical imaging applications, surpassing even human
judgment in several tasks. Those models, however, when trained to reduce the
empirical risk on a single domain, fail to generalize when applied to other
domains, a very common... | [
{
"created": "Wed, 14 Nov 2018 20:18:13 GMT",
"version": "v1"
},
{
"created": "Thu, 10 Jan 2019 22:38:53 GMT",
"version": "v2"
}
] | 2019-01-14 | [
[
"Perone",
"Christian S.",
""
],
[
"Ballester",
"Pedro",
""
],
[
"Barros",
"Rodrigo C.",
""
],
[
"Cohen-Adad",
"Julien",
""
]
] | Recent advances in deep learning methods have come to define the state-of-the-art for many medical imaging applications, surpassing even human judgment in several tasks. Those models, however, when trained to reduce the empirical risk on a single domain, fail to generalize when applied to other domains, a very common s... |
1811.10493 | Bingzhang Hu | BingZhang Hu, Yu Guan, Yan Gao, Yang Long, Nicholas Lane and Thomas
Ploetz | Robust Cross-View Gait Recognition with Evidence: A Discriminant Gait
GAN (DiGGAN) Approach | Submitted to ACM Transactions on Intelligent Systems and Technology | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Gait as a biometric trait has attracted much attention in many security and
privacy applications such as identity recognition and authentication, during
the last few decades. Because of its nature as a long-distance biometric trait,
gait can be easily collected and used to identify individuals non-intrusively
through... | [
{
"created": "Mon, 26 Nov 2018 16:37:29 GMT",
"version": "v1"
},
{
"created": "Wed, 16 Sep 2020 16:10:26 GMT",
"version": "v2"
},
{
"created": "Thu, 17 Sep 2020 10:17:12 GMT",
"version": "v3"
}
] | 2020-09-18 | [
[
"Hu",
"BingZhang",
""
],
[
"Guan",
"Yu",
""
],
[
"Gao",
"Yan",
""
],
[
"Long",
"Yang",
""
],
[
"Lane",
"Nicholas",
""
],
[
"Ploetz",
"Thomas",
""
]
] | Gait as a biometric trait has attracted much attention in many security and privacy applications such as identity recognition and authentication, during the last few decades. Because of its nature as a long-distance biometric trait, gait can be easily collected and used to identify individuals non-intrusively through C... |
1311.3387 | Chen He Mr. | Chen He, Xun Chen and Z. Jane Wang | Performance of General STCs over Spatially Correlated MIMO
Single-keyhole Channels | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | For MIMO Rayleigh channels, it has been shown that transmitter correlations
always degrade the performance of general space-time codes (STCs) in high SNR
regimes. In this correspondence, however, we show that when MIMO channels
experience single-keyhole conditions, the effect of spatial correlations
between transmiss... | [
{
"created": "Thu, 14 Nov 2013 05:39:37 GMT",
"version": "v1"
},
{
"created": "Sat, 23 Nov 2013 03:37:49 GMT",
"version": "v2"
},
{
"created": "Mon, 13 Jan 2014 19:09:29 GMT",
"version": "v3"
}
] | 2014-01-14 | [
[
"He",
"Chen",
""
],
[
"Chen",
"Xun",
""
],
[
"Wang",
"Z. Jane",
""
]
] | For MIMO Rayleigh channels, it has been shown that transmitter correlations always degrade the performance of general space-time codes (STCs) in high SNR regimes. In this correspondence, however, we show that when MIMO channels experience single-keyhole conditions, the effect of spatial correlations between transmissio... |
2401.11929 | Jinliang Deng | Jinliang Deng, Feiyang Ye, Du Yin, Xuan Song, Ivor W. Tsang, Hui Xiong | Parsimony or Capability? Decomposition Delivers Both in Long-term Time
Series Forecasting | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Long-term time series forecasting (LTSF) represents a critical frontier in
time series analysis, characterized by extensive input sequences, as opposed to
the shorter spans typical of traditional approaches. While longer sequences
inherently offer richer information for enhanced predictive precision,
prevailing studi... | [
{
"created": "Mon, 22 Jan 2024 13:15:40 GMT",
"version": "v1"
},
{
"created": "Sat, 3 Feb 2024 02:24:06 GMT",
"version": "v2"
},
{
"created": "Fri, 24 May 2024 01:17:03 GMT",
"version": "v3"
}
] | 2024-05-27 | [
[
"Deng",
"Jinliang",
""
],
[
"Ye",
"Feiyang",
""
],
[
"Yin",
"Du",
""
],
[
"Song",
"Xuan",
""
],
[
"Tsang",
"Ivor W.",
""
],
[
"Xiong",
"Hui",
""
]
] | Long-term time series forecasting (LTSF) represents a critical frontier in time series analysis, characterized by extensive input sequences, as opposed to the shorter spans typical of traditional approaches. While longer sequences inherently offer richer information for enhanced predictive precision, prevailing studies... |
2303.04912 | Tom Silver | Amber Li, Tom Silver | Embodied Active Learning of Relational State Abstractions for Bilevel
Planning | Conference on Lifelong Learning Agents (CoLLAs) 2023 | null | null | null | cs.RO cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | State abstraction is an effective technique for planning in robotics
environments with continuous states and actions, long task horizons, and sparse
feedback. In object-oriented environments, predicates are a particularly useful
form of state abstraction because of their compatibility with symbolic planners
and their... | [
{
"created": "Wed, 8 Mar 2023 22:04:31 GMT",
"version": "v1"
},
{
"created": "Mon, 19 Jun 2023 14:50:16 GMT",
"version": "v2"
}
] | 2023-06-21 | [
[
"Li",
"Amber",
""
],
[
"Silver",
"Tom",
""
]
] | State abstraction is an effective technique for planning in robotics environments with continuous states and actions, long task horizons, and sparse feedback. In object-oriented environments, predicates are a particularly useful form of state abstraction because of their compatibility with symbolic planners and their c... |
2005.13457 | Sergio Miguel Martin | Sergio M. Martin, Daniel W\"alchli, Georgios Arampatzis, Athena E.
Economides, Petr Karnakov, Petros Koumoutsakos | Korali: Efficient and Scalable Software Framework for Bayesian
Uncertainty Quantification and Stochastic Optimization | 12 pages, 12 figures | null | 10.1016/j.cma.2021.114264 | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present Korali, an open-source framework for large-scale Bayesian
uncertainty quantification and stochastic optimization. The framework relies on
non-intrusive sampling of complex multiphysics models and enables their
exploitation for optimization and decision-making. In addition, its distributed
sampling engine m... | [
{
"created": "Wed, 27 May 2020 16:14:49 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Mar 2021 12:58:16 GMT",
"version": "v2"
}
] | 2022-01-26 | [
[
"Martin",
"Sergio M.",
""
],
[
"Wälchli",
"Daniel",
""
],
[
"Arampatzis",
"Georgios",
""
],
[
"Economides",
"Athena E.",
""
],
[
"Karnakov",
"Petr",
""
],
[
"Koumoutsakos",
"Petros",
""
]
] | We present Korali, an open-source framework for large-scale Bayesian uncertainty quantification and stochastic optimization. The framework relies on non-intrusive sampling of complex multiphysics models and enables their exploitation for optimization and decision-making. In addition, its distributed sampling engine mak... |
2211.03183 | Nawid Keshtmand | Nawid Keshtmand, Raul Santos-Rodriguez, Jonathan Lawry | Understanding the properties and limitations of contrastive learning for
Out-of-Distribution detection | null | null | null | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A recent popular approach to out-of-distribution (OOD) detection is based on
a self-supervised learning technique referred to as contrastive learning. There
are two main variants of contrastive learning, namely instance and class
discrimination, targeting features that can discriminate between different
instances for... | [
{
"created": "Sun, 6 Nov 2022 17:33:29 GMT",
"version": "v1"
}
] | 2022-11-08 | [
[
"Keshtmand",
"Nawid",
""
],
[
"Santos-Rodriguez",
"Raul",
""
],
[
"Lawry",
"Jonathan",
""
]
] | A recent popular approach to out-of-distribution (OOD) detection is based on a self-supervised learning technique referred to as contrastive learning. There are two main variants of contrastive learning, namely instance and class discrimination, targeting features that can discriminate between different instances for t... |
2405.18523 | Jiaze Wang | Jiaze Wang, Yi Wang, Ziyu Guo, Renrui Zhang, Donghao Zhou, Guangyong
Chen, Anfeng Liu, Pheng-Ann Heng | TripletMix: Triplet Data Augmentation for 3D Understanding | null | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Data augmentation has proven to be a vital tool for enhancing the
generalization capabilities of deep learning models, especially in the context
of 3D vision where traditional datasets are often limited. Despite previous
advancements, existing methods primarily cater to unimodal data scenarios,
leaving a gap in the a... | [
{
"created": "Tue, 28 May 2024 18:44:15 GMT",
"version": "v1"
}
] | 2024-05-30 | [
[
"Wang",
"Jiaze",
""
],
[
"Wang",
"Yi",
""
],
[
"Guo",
"Ziyu",
""
],
[
"Zhang",
"Renrui",
""
],
[
"Zhou",
"Donghao",
""
],
[
"Chen",
"Guangyong",
""
],
[
"Liu",
"Anfeng",
""
],
[
"Heng",
"Pheng-A... | Data augmentation has proven to be a vital tool for enhancing the generalization capabilities of deep learning models, especially in the context of 3D vision where traditional datasets are often limited. Despite previous advancements, existing methods primarily cater to unimodal data scenarios, leaving a gap in the aug... |
2109.05413 | Yudong Luo | Ziyuan Ma, Yudong Luo, Jia Pan | Learning Selective Communication for Multi-Agent Path Finding | IEEE Robotics and Automation Letters (RA-L) | null | null | null | cs.RO cs.AI cs.MA | http://creativecommons.org/licenses/by/4.0/ | Learning communication via deep reinforcement learning (RL) or imitation
learning (IL) has recently been shown to be an effective way to solve
Multi-Agent Path Finding (MAPF). However, existing communication based MAPF
solvers focus on broadcast communication, where an agent broadcasts its message
to all other or pre... | [
{
"created": "Sun, 12 Sep 2021 03:07:20 GMT",
"version": "v1"
},
{
"created": "Thu, 23 Dec 2021 18:50:22 GMT",
"version": "v2"
}
] | 2021-12-24 | [
[
"Ma",
"Ziyuan",
""
],
[
"Luo",
"Yudong",
""
],
[
"Pan",
"Jia",
""
]
] | Learning communication via deep reinforcement learning (RL) or imitation learning (IL) has recently been shown to be an effective way to solve Multi-Agent Path Finding (MAPF). However, existing communication based MAPF solvers focus on broadcast communication, where an agent broadcasts its message to all other or prede... |
2107.12342 | Nandan Kumar Jha | Karthik Garimella, Nandan Kumar Jha and Brandon Reagen | Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations
in Privacy-Preserving Deep Learning | Accepted to PPML (ACM CCS) 2021 | null | null | null | cs.LG cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Privacy concerns in client-server machine learning have given rise to private
inference (PI), where neural inference occurs directly on encrypted inputs. PI
protects clients' personal data and the server's intellectual property. A
common practice in PI is to use garbled circuits to compute nonlinear functions
private... | [
{
"created": "Mon, 26 Jul 2021 17:33:56 GMT",
"version": "v1"
},
{
"created": "Tue, 2 Nov 2021 22:22:42 GMT",
"version": "v2"
}
] | 2021-11-04 | [
[
"Garimella",
"Karthik",
""
],
[
"Jha",
"Nandan Kumar",
""
],
[
"Reagen",
"Brandon",
""
]
] | Privacy concerns in client-server machine learning have given rise to private inference (PI), where neural inference occurs directly on encrypted inputs. PI protects clients' personal data and the server's intellectual property. A common practice in PI is to use garbled circuits to compute nonlinear functions privately... |
2407.07672 | Zhaohui Liang | Zhaohui Liang, Xiaoyu Zhang, Kevin Ma, Zhao Liu, Xipei Ren, Kosa
Goucher-Lambert, Can Liu | StoryDiffusion: How to Support UX Storyboarding With Generative-AI | null | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Storyboarding is an established method for designing user experiences.
Generative AI can support this process by helping designers quickly create
visual narratives. However, existing tools only focus on accurate text-to-image
generation. Currently, it is not clear how to effectively support the entire
creative proces... | [
{
"created": "Wed, 10 Jul 2024 13:59:37 GMT",
"version": "v1"
}
] | 2024-07-11 | [
[
"Liang",
"Zhaohui",
""
],
[
"Zhang",
"Xiaoyu",
""
],
[
"Ma",
"Kevin",
""
],
[
"Liu",
"Zhao",
""
],
[
"Ren",
"Xipei",
""
],
[
"Goucher-Lambert",
"Kosa",
""
],
[
"Liu",
"Can",
""
]
] | Storyboarding is an established method for designing user experiences. Generative AI can support this process by helping designers quickly create visual narratives. However, existing tools only focus on accurate text-to-image generation. Currently, it is not clear how to effectively support the entire creative process ... |
1808.01080 | Anisse Ismaili | Anisse Ismaili | The Complexity of Sequential Routing Games | Submitted to WINE2018 on July 28th, 2018. Rejected (reviews included
here). No major flaws are known. Additional (positive) results would be
welcome | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study routing games where every agent sequentially decides her next edge
when she obtains the green light at each vertex. Because every edge only has
capacity to let out one agent per round, an edge acts as a FIFO waiting queue
that causes congestion on agents who enter. Given $n$ agents over $|V|$
vertices, we sh... | [
{
"created": "Fri, 3 Aug 2018 03:52:42 GMT",
"version": "v1"
},
{
"created": "Fri, 26 Oct 2018 05:30:59 GMT",
"version": "v2"
}
] | 2018-10-29 | [
[
"Ismaili",
"Anisse",
""
]
] | We study routing games where every agent sequentially decides her next edge when she obtains the green light at each vertex. Because every edge only has capacity to let out one agent per round, an edge acts as a FIFO waiting queue that causes congestion on agents who enter. Given $n$ agents over $|V|$ vertices, we show... |
1410.4977 | Amit Sheth | Pratikkumar Desai, Amit Sheth and Pramod Anantharam | Semantic Gateway as a Service architecture for IoT Interoperability | 16 pages | null | null | null | cs.NI cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Internet of Things (IoT) is set to occupy a substantial component of
future Internet. The IoT connects sensors and devices that record physical
observations to applications and services of the Internet. As a successor to
technologies such as RFID and Wireless Sensor Networks (WSN), the IoT has
stumbled into verti... | [
{
"created": "Sat, 18 Oct 2014 16:23:51 GMT",
"version": "v1"
}
] | 2014-10-21 | [
[
"Desai",
"Pratikkumar",
""
],
[
"Sheth",
"Amit",
""
],
[
"Anantharam",
"Pramod",
""
]
] | The Internet of Things (IoT) is set to occupy a substantial component of future Internet. The IoT connects sensors and devices that record physical observations to applications and services of the Internet. As a successor to technologies such as RFID and Wireless Sensor Networks (WSN), the IoT has stumbled into vertica... |
2102.05334 | Yael Mathov | Yael Mathov, Lior Rokach, Yuval Elovici | Enhancing Real-World Adversarial Patches through 3D Modeling of Complex
Target Scenes | null | null | null | null | cs.CV cs.AI cs.CR cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Adversarial examples have proven to be a concerning threat to deep learning
models, particularly in the image domain. However, while many studies have
examined adversarial examples in the real world, most of them relied on 2D
photos of the attack scene. As a result, the attacks proposed may have limited
effectiveness... | [
{
"created": "Wed, 10 Feb 2021 09:16:09 GMT",
"version": "v1"
},
{
"created": "Thu, 2 Sep 2021 07:50:28 GMT",
"version": "v2"
}
] | 2021-09-03 | [
[
"Mathov",
"Yael",
""
],
[
"Rokach",
"Lior",
""
],
[
"Elovici",
"Yuval",
""
]
] | Adversarial examples have proven to be a concerning threat to deep learning models, particularly in the image domain. However, while many studies have examined adversarial examples in the real world, most of them relied on 2D photos of the attack scene. As a result, the attacks proposed may have limited effectiveness w... |
1703.07655 | Priyadarshini Panda | Priyadarshini Panda, Jason M. Allred, Shriram Ramanathan and Kaushik
Roy | ASP: Learning to Forget with Adaptive Synaptic Plasticity in Spiking
Neural Networks | 14 pages, 14 figures | IEEE Journal on Emerging and Selected Topics in Circuits and
Systems (Volume: 8, Issue: 1, March 2018) | 10.1109/JETCAS.2017.2769684 | null | cs.NE cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A fundamental feature of learning in animals is the "ability to forget" that
allows an organism to perceive, model and make decisions from disparate streams
of information and adapt to changing environments. Against this backdrop, we
present a novel unsupervised learning mechanism ASP (Adaptive Synaptic
Plasticity) f... | [
{
"created": "Wed, 22 Mar 2017 13:48:47 GMT",
"version": "v1"
},
{
"created": "Fri, 8 Jun 2018 20:17:33 GMT",
"version": "v2"
}
] | 2018-06-12 | [
[
"Panda",
"Priyadarshini",
""
],
[
"Allred",
"Jason M.",
""
],
[
"Ramanathan",
"Shriram",
""
],
[
"Roy",
"Kaushik",
""
]
] | A fundamental feature of learning in animals is the "ability to forget" that allows an organism to perceive, model and make decisions from disparate streams of information and adapt to changing environments. Against this backdrop, we present a novel unsupervised learning mechanism ASP (Adaptive Synaptic Plasticity) for... |
1310.5656 | Dimiter Skordev | Dimiter Skordev (Sofia University, Faculty of Mathematics and
Informatics, Sofia, Bulgaria) | Approximation systems for functions in topological and in metric spaces | 21 pages, published in Logical Methods in Computer Science | Logical Methods in Computer Science, Volume 9, Issue 4 (November
20, 2013) lmcs:890 | 10.2168/LMCS-9(4:15)2013 | null | cs.LO math.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A notable feature of the TTE approach to computability is the representation
of the argument values and the corresponding function values by means of
infinitistic names. Two ways to eliminate the using of such names in certain
cases are indicated in the paper. The first one is intended for the case of
topological spa... | [
{
"created": "Mon, 21 Oct 2013 17:42:33 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Nov 2013 09:20:16 GMT",
"version": "v2"
},
{
"created": "Thu, 21 Nov 2013 09:24:54 GMT",
"version": "v3"
}
] | 2015-07-01 | [
[
"Skordev",
"Dimiter",
"",
"Sofia University, Faculty of Mathematics and\n Informatics, Sofia, Bulgaria"
]
] | A notable feature of the TTE approach to computability is the representation of the argument values and the corresponding function values by means of infinitistic names. Two ways to eliminate the using of such names in certain cases are indicated in the paper. The first one is intended for the case of topological space... |
2405.01054 | Andriy Sarabakha | Zhongzheng Qiao, Xuan Huy Pham, Savitha Ramasamy, Xudong Jiang, Erdal
Kayacan, Andriy Sarabakha | Continual Learning for Robust Gate Detection under Dynamic Lighting in
Autonomous Drone Racing | 8 pages, 6 figures, in 2024 International Joint Conference on Neural
Networks (IJCNN) | null | null | null | cs.RO cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In autonomous and mobile robotics, a principal challenge is resilient
real-time environmental perception, particularly in situations characterized by
unknown and dynamic elements, as exemplified in the context of autonomous drone
racing. This study introduces a perception technique for detecting drone racing
gates un... | [
{
"created": "Thu, 2 May 2024 07:21:12 GMT",
"version": "v1"
}
] | 2024-05-03 | [
[
"Qiao",
"Zhongzheng",
""
],
[
"Pham",
"Xuan Huy",
""
],
[
"Ramasamy",
"Savitha",
""
],
[
"Jiang",
"Xudong",
""
],
[
"Kayacan",
"Erdal",
""
],
[
"Sarabakha",
"Andriy",
""
]
] | In autonomous and mobile robotics, a principal challenge is resilient real-time environmental perception, particularly in situations characterized by unknown and dynamic elements, as exemplified in the context of autonomous drone racing. This study introduces a perception technique for detecting drone racing gates unde... |
1512.06009 | Reuben Farrugia | Reuben Farrugia, Christine Guillemot | Face Hallucination using Linear Models of Coupled Sparse Support | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most face super-resolution methods assume that low-resolution and
high-resolution manifolds have similar local geometrical structure, hence learn
local models on the lowresolution manifolds (e.g. sparse or locally linear
embedding models), which are then applied on the high-resolution manifold.
However, the low-resol... | [
{
"created": "Fri, 18 Dec 2015 16:01:55 GMT",
"version": "v1"
}
] | 2015-12-21 | [
[
"Farrugia",
"Reuben",
""
],
[
"Guillemot",
"Christine",
""
]
] | Most face super-resolution methods assume that low-resolution and high-resolution manifolds have similar local geometrical structure, hence learn local models on the lowresolution manifolds (e.g. sparse or locally linear embedding models), which are then applied on the high-resolution manifold. However, the low-resolut... |
2403.16030 | Dongqi Fu | Dongqi Fu, Zhigang Hua, Yan Xie, Jin Fang, Si Zhang, Kaan Sancak, Hao
Wu, Andrey Malevich, Jingrui He, Bo Long | VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Graph transformer has been proven as an effective graph learning method for
its adoption of attention mechanism that is capable of capturing expressive
representations from complex topological and feature information of graphs.
Graph transformer conventionally performs dense attention (or global attention)
for every ... | [
{
"created": "Sun, 24 Mar 2024 06:10:56 GMT",
"version": "v1"
}
] | 2024-03-26 | [
[
"Fu",
"Dongqi",
""
],
[
"Hua",
"Zhigang",
""
],
[
"Xie",
"Yan",
""
],
[
"Fang",
"Jin",
""
],
[
"Zhang",
"Si",
""
],
[
"Sancak",
"Kaan",
""
],
[
"Wu",
"Hao",
""
],
[
"Malevich",
"Andrey",
""
... | Graph transformer has been proven as an effective graph learning method for its adoption of attention mechanism that is capable of capturing expressive representations from complex topological and feature information of graphs. Graph transformer conventionally performs dense attention (or global attention) for every pa... |
2404.19141 | Tonglong Wei | Tonglong Wei, Youfang Lin, Yan Lin, Shengnan Guo, Lan Zhang, Huaiyu
Wan | Micro-Macro Spatial-Temporal Graph-based Encoder-Decoder for
Map-Constrained Trajectory Recovery | This paper has been accepted as a regular paper at IEEE TKDE | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recovering intermediate missing GPS points in a sparse trajectory, while
adhering to the constraints of the road network, could offer deep insights into
users' moving behaviors in intelligent transportation systems. Although recent
studies have demonstrated the advantages of achieving map-constrained
trajectory recov... | [
{
"created": "Mon, 29 Apr 2024 22:54:35 GMT",
"version": "v1"
}
] | 2024-05-01 | [
[
"Wei",
"Tonglong",
""
],
[
"Lin",
"Youfang",
""
],
[
"Lin",
"Yan",
""
],
[
"Guo",
"Shengnan",
""
],
[
"Zhang",
"Lan",
""
],
[
"Wan",
"Huaiyu",
""
]
] | Recovering intermediate missing GPS points in a sparse trajectory, while adhering to the constraints of the road network, could offer deep insights into users' moving behaviors in intelligent transportation systems. Although recent studies have demonstrated the advantages of achieving map-constrained trajectory recover... |
2004.06081 | Aboul Ella Hassanien Abo | Mohamed Torky and Aboul Ella Hassanien (Scientific Research Group in
Egypt) | COVID-19 Blockchain Framework: Innovative Approach | 22 pages, 11 Figures | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The world is currently witnessing dangerous shifts in the epidemic of
emerging SARS-CoV-2, the causative agent of (COVID-19) coronavirus. The
infection, and death numbers reported by World Health Organization (WHO) about
this epidemic forecasts an increasing threats to the lives of people and the
economics of countri... | [
{
"created": "Sun, 5 Apr 2020 11:25:45 GMT",
"version": "v1"
}
] | 2020-04-14 | [
[
"Torky",
"Mohamed",
"",
"Scientific Research Group in\n Egypt"
],
[
"Hassanien",
"Aboul Ella",
"",
"Scientific Research Group in\n Egypt"
]
] | The world is currently witnessing dangerous shifts in the epidemic of emerging SARS-CoV-2, the causative agent of (COVID-19) coronavirus. The infection, and death numbers reported by World Health Organization (WHO) about this epidemic forecasts an increasing threats to the lives of people and the economics of countries... |
1705.07904 | Chris Donahue | Chris Donahue, Zachary C. Lipton, Akshay Balsubramani, Julian McAuley | Semantically Decomposing the Latent Spaces of Generative Adversarial
Networks | Published as a conference paper at ICLR 2018 | null | null | null | cs.LG cs.AI cs.CV cs.NE stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a new algorithm for training generative adversarial networks that
jointly learns latent codes for both identities (e.g. individual humans) and
observations (e.g. specific photographs). By fixing the identity portion of the
latent codes, we can generate diverse images of the same subject, and by fixing
the ... | [
{
"created": "Mon, 22 May 2017 18:00:02 GMT",
"version": "v1"
},
{
"created": "Tue, 31 Oct 2017 18:00:05 GMT",
"version": "v2"
},
{
"created": "Thu, 22 Feb 2018 19:36:33 GMT",
"version": "v3"
}
] | 2018-02-26 | [
[
"Donahue",
"Chris",
""
],
[
"Lipton",
"Zachary C.",
""
],
[
"Balsubramani",
"Akshay",
""
],
[
"McAuley",
"Julian",
""
]
] | We propose a new algorithm for training generative adversarial networks that jointly learns latent codes for both identities (e.g. individual humans) and observations (e.g. specific photographs). By fixing the identity portion of the latent codes, we can generate diverse images of the same subject, and by fixing the ob... |
2212.11922 | Evin P{\i}nar \"Ornek | Evin P{\i}nar \"Ornek, Aravindhan K Krishnan, Shreekant Gayaka,
Cheng-Hao Kuo, Arnie Sen, Nassir Navab, Federico Tombari | SupeRGB-D: Zero-shot Instance Segmentation in Cluttered Indoor
Environments | Accepted in Robotics and Automation Letters April 2023 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Object instance segmentation is a key challenge for indoor robots navigating
cluttered environments with many small objects. Limitations in 3D sensing
capabilities often make it difficult to detect every possible object. While
deep learning approaches may be effective for this problem, manually annotating
3D data for... | [
{
"created": "Thu, 22 Dec 2022 17:59:48 GMT",
"version": "v1"
},
{
"created": "Thu, 25 May 2023 12:25:24 GMT",
"version": "v2"
}
] | 2023-05-26 | [
[
"Örnek",
"Evin Pınar",
""
],
[
"Krishnan",
"Aravindhan K",
""
],
[
"Gayaka",
"Shreekant",
""
],
[
"Kuo",
"Cheng-Hao",
""
],
[
"Sen",
"Arnie",
""
],
[
"Navab",
"Nassir",
""
],
[
"Tombari",
"Federico",
""
]... | Object instance segmentation is a key challenge for indoor robots navigating cluttered environments with many small objects. Limitations in 3D sensing capabilities often make it difficult to detect every possible object. While deep learning approaches may be effective for this problem, manually annotating 3D data for s... |
1505.07396 | Marko Horvat | Marko Horvat, Davor Kukolja, Dragutin Ivanec | Retrieval of multimedia stimuli with semantic and emotional cues:
Suggestions from a controlled study | 4 pages, 3 figures, 1 table. In the Proceedings of 38th International
Convention on Information and Communication Technology, Electronics and
Microelectronics MIPRO 2015 (pp. 1399-1402) | null | null | null | cs.HC cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The ability to efficiently search pictures with annotated semantics and
emotion is an important problem for Human-Computer Interaction with
considerable interdisciplinary significance. Accuracy and speed of the
multimedia retrieval process depends on the chosen metadata annotation model.
The quality of such multiface... | [
{
"created": "Wed, 27 May 2015 16:34:55 GMT",
"version": "v1"
},
{
"created": "Fri, 30 Jun 2017 14:09:38 GMT",
"version": "v2"
}
] | 2017-07-03 | [
[
"Horvat",
"Marko",
""
],
[
"Kukolja",
"Davor",
""
],
[
"Ivanec",
"Dragutin",
""
]
] | The ability to efficiently search pictures with annotated semantics and emotion is an important problem for Human-Computer Interaction with considerable interdisciplinary significance. Accuracy and speed of the multimedia retrieval process depends on the chosen metadata annotation model. The quality of such multifacete... |
1908.02134 | Hiroshi Kuwajima | Hiroshi Kuwajima and Fuyuki Ishikawa | Adapting SQuaRE for Quality Assessment of Artificial Intelligence
Systems | null | null | null | null | cs.CY cs.LG cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | More and more software practitioners are tackling towards industrial
applications of artificial intelligence (AI) systems, especially those based on
machine learning (ML). However, many of existing principles and approaches to
traditional systems do not work effectively for the system behavior obtained by
training no... | [
{
"created": "Wed, 31 Jul 2019 18:31:06 GMT",
"version": "v1"
}
] | 2019-08-07 | [
[
"Kuwajima",
"Hiroshi",
""
],
[
"Ishikawa",
"Fuyuki",
""
]
] | More and more software practitioners are tackling towards industrial applications of artificial intelligence (AI) systems, especially those based on machine learning (ML). However, many of existing principles and approaches to traditional systems do not work effectively for the system behavior obtained by training not ... |
2012.03709 | Yilin Zhao | Yilin Zhao, Zhuosheng Zhang, Hai Zhao | Reference Knowledgeable Network for Machine Reading Comprehension | Accepted by TASLP 2022 | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multi-choice Machine Reading Comprehension (MRC) as a challenge requires
models to select the most appropriate answer from a set of candidates with a
given passage and question. Most of the existing researches focus on the
modeling of specific tasks or complex networks, without explicitly referring to
relevant and cr... | [
{
"created": "Mon, 7 Dec 2020 14:11:33 GMT",
"version": "v1"
},
{
"created": "Wed, 14 Jul 2021 12:49:41 GMT",
"version": "v2"
},
{
"created": "Sat, 26 Mar 2022 15:27:28 GMT",
"version": "v3"
}
] | 2022-03-29 | [
[
"Zhao",
"Yilin",
""
],
[
"Zhang",
"Zhuosheng",
""
],
[
"Zhao",
"Hai",
""
]
] | Multi-choice Machine Reading Comprehension (MRC) as a challenge requires models to select the most appropriate answer from a set of candidates with a given passage and question. Most of the existing researches focus on the modeling of specific tasks or complex networks, without explicitly referring to relevant and cred... |
2012.08129 | Yi-Hsin Chen | Cheng-Hsun Lei, Yi-Hsin Chen, Wen-Hsiao Peng, Wei-Chen Chiu | Class-incremental Learning with Rectified Feature-Graph Preservation | Accepted by ACCV 2020 (oral) | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | In this paper, we address the problem of distillation-based class-incremental
learning with a single head. A central theme of this task is to learn new
classes that arrive in sequential phases over time while keeping the model's
capability of recognizing seen classes with only limited memory for preserving
seen data ... | [
{
"created": "Tue, 15 Dec 2020 07:26:04 GMT",
"version": "v1"
},
{
"created": "Fri, 22 Jan 2021 09:06:04 GMT",
"version": "v2"
}
] | 2021-01-25 | [
[
"Lei",
"Cheng-Hsun",
""
],
[
"Chen",
"Yi-Hsin",
""
],
[
"Peng",
"Wen-Hsiao",
""
],
[
"Chiu",
"Wei-Chen",
""
]
] | In this paper, we address the problem of distillation-based class-incremental learning with a single head. A central theme of this task is to learn new classes that arrive in sequential phases over time while keeping the model's capability of recognizing seen classes with only limited memory for preserving seen data sa... |
1406.3269 | Krzysztof Geras | Krzysztof J. Geras and Charles Sutton | Scheduled denoising autoencoders | Published as a conference paper at ICLR 2015 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a representation learning method that learns features at multiple
different levels of scale. Working within the unsupervised framework of
denoising autoencoders, we observe that when the input is heavily corrupted
during training, the network tends to learn coarse-grained features, whereas
when the input i... | [
{
"created": "Thu, 12 Jun 2014 15:40:18 GMT",
"version": "v1"
},
{
"created": "Fri, 19 Dec 2014 20:42:11 GMT",
"version": "v2"
},
{
"created": "Fri, 10 Apr 2015 21:05:32 GMT",
"version": "v3"
}
] | 2015-04-14 | [
[
"Geras",
"Krzysztof J.",
""
],
[
"Sutton",
"Charles",
""
]
] | We present a representation learning method that learns features at multiple different levels of scale. Working within the unsupervised framework of denoising autoencoders, we observe that when the input is heavily corrupted during training, the network tends to learn coarse-grained features, whereas when the input is ... |
2010.16340 | Yuval Moskovitch | Yuval Moskovitch and H. V. Jagadish | Patterns Count-Based Labels for Datasets | ICDE2021 | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Counts of attribute-value combinations are central to the profiling of a
dataset, particularly in determining fitness for use and in eliminating bias
and unfairness. While counts of individual attribute values may be stored in
some dataset profiles, there are too many combinations of attributes for it to
be practical... | [
{
"created": "Fri, 30 Oct 2020 16:00:34 GMT",
"version": "v1"
},
{
"created": "Sat, 7 Nov 2020 15:10:11 GMT",
"version": "v2"
}
] | 2020-11-10 | [
[
"Moskovitch",
"Yuval",
""
],
[
"Jagadish",
"H. V.",
""
]
] | Counts of attribute-value combinations are central to the profiling of a dataset, particularly in determining fitness for use and in eliminating bias and unfairness. While counts of individual attribute values may be stored in some dataset profiles, there are too many combinations of attributes for it to be practical t... |
2403.05351 | Hassan Keshvarikhojasteh | H. Keshvarikhojasteh, J.P.W. Pluim, M. Veta | Multiple Instance Learning with random sampling for Whole Slide Image
Classification | SPIE Medical Imaging 2024 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | In computational pathology, random sampling of patches during training of
Multiple Instance Learning (MIL) methods is computationally efficient and
serves as a regularization strategy. Despite its promising benefits, questions
concerning performance trends for varying sample sizes and its influence on
model interpret... | [
{
"created": "Fri, 8 Mar 2024 14:31:40 GMT",
"version": "v1"
}
] | 2024-03-11 | [
[
"Keshvarikhojasteh",
"H.",
""
],
[
"Pluim",
"J. P. W.",
""
],
[
"Veta",
"M.",
""
]
] | In computational pathology, random sampling of patches during training of Multiple Instance Learning (MIL) methods is computationally efficient and serves as a regularization strategy. Despite its promising benefits, questions concerning performance trends for varying sample sizes and its influence on model interpretab... |
2207.05855 | Ka Ho Brian Chor | Ka Ho Brian Chor, Kit T. Rodolfa, Rayid Ghani | A Conceptual Framework for Using Machine Learning to Support Child
Welfare Decisions | 69 pages, 1 table, 5 figures, 1 appendix | null | null | null | cs.CY cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Human services systems make key decisions that impact individuals in the
society. The U.S. child welfare system makes such decisions, from screening-in
hotline reports of suspected abuse or neglect for child protective
investigations, placing children in foster care, to returning children to
permanent home settings. ... | [
{
"created": "Tue, 12 Jul 2022 21:42:22 GMT",
"version": "v1"
}
] | 2022-07-14 | [
[
"Chor",
"Ka Ho Brian",
""
],
[
"Rodolfa",
"Kit T.",
""
],
[
"Ghani",
"Rayid",
""
]
] | Human services systems make key decisions that impact individuals in the society. The U.S. child welfare system makes such decisions, from screening-in hotline reports of suspected abuse or neglect for child protective investigations, placing children in foster care, to returning children to permanent home settings. Th... |
1309.5507 | Irfan Uddin | Irfan Uddin | Microgrid - The microthreaded many-core architecture | 30 pages, 16 figures | null | null | null | cs.AR | http://creativecommons.org/licenses/by/3.0/ | Traditional processors use the von Neumann execution model, some other
processors in the past have used the dataflow execution model. A combination of
von Neuman model and dataflow model is also tried in the past and the resultant
model is referred as hybrid dataflow execution model. We describe a hybrid
dataflow mod... | [
{
"created": "Sat, 21 Sep 2013 17:50:09 GMT",
"version": "v1"
}
] | 2013-09-24 | [
[
"Uddin",
"Irfan",
""
]
] | Traditional processors use the von Neumann execution model, some other processors in the past have used the dataflow execution model. A combination of von Neuman model and dataflow model is also tried in the past and the resultant model is referred as hybrid dataflow execution model. We describe a hybrid dataflow model... |
2108.03122 | Vishrant Tripathi | Vishrant Tripathi, Luca Ballotta, Luca Carlone, and Eytan Modiano | Computation and Communication Co-Design for Real-Time Monitoring and
Control in Multi-Agent Systems | accepted at WiOpt 2021 | null | 10.23919/WiOpt52861.2021.9589966 | null | cs.NI cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We investigate the problem of co-designing computation and communication in a
multi-agent system (e.g. a sensor network or a multi-robot team). We consider
the realistic setting where each agent acquires sensor data and is capable of
local processing before sending updates to a base station, which is in charge
of mak... | [
{
"created": "Fri, 6 Aug 2021 13:45:30 GMT",
"version": "v1"
},
{
"created": "Mon, 9 Aug 2021 02:11:37 GMT",
"version": "v2"
}
] | 2022-04-08 | [
[
"Tripathi",
"Vishrant",
""
],
[
"Ballotta",
"Luca",
""
],
[
"Carlone",
"Luca",
""
],
[
"Modiano",
"Eytan",
""
]
] | We investigate the problem of co-designing computation and communication in a multi-agent system (e.g. a sensor network or a multi-robot team). We consider the realistic setting where each agent acquires sensor data and is capable of local processing before sending updates to a base station, which is in charge of makin... |
1808.09463 | Christina Niklaus | Matthias Cetto, Christina Niklaus, Andr\'e Freitas, Siegfried
Handschuh | Graphene: A Context-Preserving Open Information Extraction System | 27th International Conference on Computational Linguistics (COLING
2018) | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | We introduce Graphene, an Open IE system whose goal is to generate accurate,
meaningful and complete propositions that may facilitate a variety of
downstream semantic applications. For this purpose, we transform syntactically
complex input sentences into clean, compact structures in the form of core
facts and accompa... | [
{
"created": "Tue, 28 Aug 2018 18:00:44 GMT",
"version": "v1"
}
] | 2018-08-30 | [
[
"Cetto",
"Matthias",
""
],
[
"Niklaus",
"Christina",
""
],
[
"Freitas",
"André",
""
],
[
"Handschuh",
"Siegfried",
""
]
] | We introduce Graphene, an Open IE system whose goal is to generate accurate, meaningful and complete propositions that may facilitate a variety of downstream semantic applications. For this purpose, we transform syntactically complex input sentences into clean, compact structures in the form of core facts and accompany... |
1909.08240 | EPTCS | David Spies (University of Alberta), Jia-Huai You (University of
Alberta), Ryan Hayward (University of Alberta) | Mutex Graphs and Multicliques: Reducing Grounding Size for Planning | In Proceedings ICLP 2019, arXiv:1909.07646 | EPTCS 306, 2019, pp. 140-153 | 10.4204/EPTCS.306.20 | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present an approach to representing large sets of mutual exclusions, also
known as mutexes or mutex constraints. These are the types of constraints that
specify the exclusion of some properties, events, processes, and so on. They
are ubiquitous in many areas of applications. The size of these constraints for
a giv... | [
{
"created": "Wed, 18 Sep 2019 07:04:54 GMT",
"version": "v1"
}
] | 2019-09-19 | [
[
"Spies",
"David",
"",
"University of Alberta"
],
[
"You",
"Jia-Huai",
"",
"University of\n Alberta"
],
[
"Hayward",
"Ryan",
"",
"University of Alberta"
]
] | We present an approach to representing large sets of mutual exclusions, also known as mutexes or mutex constraints. These are the types of constraints that specify the exclusion of some properties, events, processes, and so on. They are ubiquitous in many areas of applications. The size of these constraints for a given... |
cs/0201023 | Andree Blotz | Andree Blotz (1), Franz Huber (2), Heiko Loetzbeyer (3), Alexander
Pretschner (3), Oscar Slotosch (2), Hans-Peter Zaengerl (2) ((1) EADS
Deutschland GmbH, (2) Validas AG, (3) TU Munich) | Model-Based Software Engineering and Ada: Synergy for the Development of
Safety-Critical Systems | 16 pages, figures included, paper accepted for ADA Deutschland Tagung
2002, March 6-8, Jena, GERMANY | null | null | null | cs.SE | null | In this paper we outline a software development process for safety-critical
systems that aims at combining some of the specific strengths of model-based
development with those of programming language based development using
safety-critical subsets of Ada. Model-based software development and
model-based test case gen... | [
{
"created": "Sat, 26 Jan 2002 11:32:31 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Blotz",
"Andree",
""
],
[
"Huber",
"Franz",
""
],
[
"Loetzbeyer",
"Heiko",
""
],
[
"Pretschner",
"Alexander",
""
],
[
"Slotosch",
"Oscar",
""
],
[
"Zaengerl",
"Hans-Peter",
""
]
] | In this paper we outline a software development process for safety-critical systems that aims at combining some of the specific strengths of model-based development with those of programming language based development using safety-critical subsets of Ada. Model-based software development and model-based test case gener... |
2203.01548 | Ziyi Zhou | Ziyi Zhou, Bruce Wingo, Nathan Boyd, Seth Hutchinson, and Ye Zhao | Momentum-Aware Trajectory Optimization and Control for Agile Quadrupedal
Locomotion | null | null | null | null | cs.RO | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In this letter, we present a versatile hierarchical offline planning
algorithm, along with an online control pipeline for agile quadrupedal
locomotion. Our offline planner alternates between optimizing centroidal
dynamics for a reduced-order model and whole-body trajectory optimization, with
the aim of achieving dyna... | [
{
"created": "Thu, 3 Mar 2022 07:30:06 GMT",
"version": "v1"
},
{
"created": "Sun, 19 Jun 2022 01:37:02 GMT",
"version": "v2"
}
] | 2022-06-22 | [
[
"Zhou",
"Ziyi",
""
],
[
"Wingo",
"Bruce",
""
],
[
"Boyd",
"Nathan",
""
],
[
"Hutchinson",
"Seth",
""
],
[
"Zhao",
"Ye",
""
]
] | In this letter, we present a versatile hierarchical offline planning algorithm, along with an online control pipeline for agile quadrupedal locomotion. Our offline planner alternates between optimizing centroidal dynamics for a reduced-order model and whole-body trajectory optimization, with the aim of achieving dynami... |
2406.18460 | Ahmed Njifenjou | Ahmed Njifenjou, Virgile Sucal, Bassam Jabaian and Fabrice Lef\`evre | Role-Play Zero-Shot Prompting with Large Language Models for Open-Domain
Human-Machine Conversation | Updated version of a paper originally submitted at SIGDIAL 2023 | null | null | null | cs.CL cs.AI cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, various methods have been proposed to create open-domain
conversational agents with Large Language Models (LLMs). These models are able
to answer user queries, but in a one-way Q&A format rather than a true
conversation. Fine-tuning on particular datasets is the usual way to modify
their style to increase c... | [
{
"created": "Wed, 26 Jun 2024 16:10:53 GMT",
"version": "v1"
}
] | 2024-07-02 | [
[
"Njifenjou",
"Ahmed",
""
],
[
"Sucal",
"Virgile",
""
],
[
"Jabaian",
"Bassam",
""
],
[
"Lefèvre",
"Fabrice",
""
]
] | Recently, various methods have been proposed to create open-domain conversational agents with Large Language Models (LLMs). These models are able to answer user queries, but in a one-way Q&A format rather than a true conversation. Fine-tuning on particular datasets is the usual way to modify their style to increase con... |
2104.05974 | Mengmeng Yang | Mengmeng Yang, Ivan Tjuawinata, Kwok-Yan Lam, Tianqing Zhu, Jun Zhao | Fair and Differentially Private Distributed Frequency Estimation | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In order to remain competitive, Internet companies collect and analyse user
data for the purpose of improving user experiences. Frequency estimation is a
widely used statistical tool which could potentially conflict with the relevant
privacy regulations. Privacy preserving analytic methods based on differential
priva... | [
{
"created": "Tue, 13 Apr 2021 07:02:16 GMT",
"version": "v1"
}
] | 2021-04-14 | [
[
"Yang",
"Mengmeng",
""
],
[
"Tjuawinata",
"Ivan",
""
],
[
"Lam",
"Kwok-Yan",
""
],
[
"Zhu",
"Tianqing",
""
],
[
"Zhao",
"Jun",
""
]
] | In order to remain competitive, Internet companies collect and analyse user data for the purpose of improving user experiences. Frequency estimation is a widely used statistical tool which could potentially conflict with the relevant privacy regulations. Privacy preserving analytic methods based on differential privacy... |
2203.13321 | Yeshwanth Venkatesha | Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Yuhang Li,
Priyadarshini Panda | Addressing Client Drift in Federated Continual Learning with Adaptive
Optimization | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Federated learning has been extensively studied and is the prevalent method
for privacy-preserving distributed learning in edge devices. Correspondingly,
continual learning is an emerging field targeted towards learning multiple
tasks sequentially. However, there is little attention towards additional
challenges emer... | [
{
"created": "Thu, 24 Mar 2022 20:00:03 GMT",
"version": "v1"
}
] | 2022-03-28 | [
[
"Venkatesha",
"Yeshwanth",
""
],
[
"Kim",
"Youngeun",
""
],
[
"Park",
"Hyoungseob",
""
],
[
"Li",
"Yuhang",
""
],
[
"Panda",
"Priyadarshini",
""
]
] | Federated learning has been extensively studied and is the prevalent method for privacy-preserving distributed learning in edge devices. Correspondingly, continual learning is an emerging field targeted towards learning multiple tasks sequentially. However, there is little attention towards additional challenges emergi... |
1503.07795 | Marina Sokolova | Naveen Kumar Parachur Cotha and Marina Sokolova | Multi-Labeled Classification of Demographic Attributes of Patients: a
case study of diabetics patients | 16 pages, 9 tables | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Automated learning of patients demographics can be seen as multi-label
problem where a patient model is based on different race and gender groups. The
resulting model can be further integrated into Privacy-Preserving Data Mining,
where it can be used to assess risk of identification of different patient
groups. Our p... | [
{
"created": "Thu, 26 Mar 2015 17:22:26 GMT",
"version": "v1"
}
] | 2015-03-27 | [
[
"Cotha",
"Naveen Kumar Parachur",
""
],
[
"Sokolova",
"Marina",
""
]
] | Automated learning of patients demographics can be seen as multi-label problem where a patient model is based on different race and gender groups. The resulting model can be further integrated into Privacy-Preserving Data Mining, where it can be used to assess risk of identification of different patient groups. Our pro... |
2109.13126 | Fidan Samet | Fidan Samet and Oguz Bakir | GANiry: Bald-to-Hairy Translation Using CycleGAN | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work presents our computer vision course project called bald
men-to-hairy men translation using CycleGAN. On top of CycleGAN architecture,
we utilize perceptual loss in order to achieve more realistic results. We also
integrate conditional constrains to obtain different stylized and colored hairs
on bald men. We... | [
{
"created": "Mon, 27 Sep 2021 15:39:27 GMT",
"version": "v1"
}
] | 2021-09-28 | [
[
"Samet",
"Fidan",
""
],
[
"Bakir",
"Oguz",
""
]
] | This work presents our computer vision course project called bald men-to-hairy men translation using CycleGAN. On top of CycleGAN architecture, we utilize perceptual loss in order to achieve more realistic results. We also integrate conditional constrains to obtain different stylized and colored hairs on bald men. We c... |
1909.06045 | Ajay Kumar | Ritesh Vyas and Ajay Kumar | A Collaborative Approach using Ridge-Valley Minutiae for More Accurate
Contactless Fingerprint Identification | null | null | null | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Contactless fingerprint identification has emerged as an reliable and user
friendly alternative for the personal identification in a range of e-business
and law-enforcement applications. It is however quite known from the literature
that the contactless fingerprint images deliver remarkably low matching
accuracies as... | [
{
"created": "Fri, 13 Sep 2019 05:56:52 GMT",
"version": "v1"
},
{
"created": "Thu, 19 Sep 2019 07:40:23 GMT",
"version": "v2"
}
] | 2019-09-20 | [
[
"Vyas",
"Ritesh",
""
],
[
"Kumar",
"Ajay",
""
]
] | Contactless fingerprint identification has emerged as an reliable and user friendly alternative for the personal identification in a range of e-business and law-enforcement applications. It is however quite known from the literature that the contactless fingerprint images deliver remarkably low matching accuracies as c... |
1703.00941 | Stefan Schneider | Marvin K\"unnemann, Ramamohan Paturi, Stefan Schneider | On the Fine-grained Complexity of One-Dimensional Dynamic Programming | null | null | null | null | cs.CC cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we investigate the complexity of one-dimensional dynamic
programming, or more specifically, of the Least-Weight Subsequence (LWS)
problem: Given a sequence of $n$ data items together with weights for every
pair of the items, the task is to determine a subsequence $S$ minimizing the
total weight of the ... | [
{
"created": "Thu, 2 Mar 2017 20:25:04 GMT",
"version": "v1"
}
] | 2017-03-06 | [
[
"Künnemann",
"Marvin",
""
],
[
"Paturi",
"Ramamohan",
""
],
[
"Schneider",
"Stefan",
""
]
] | In this paper, we investigate the complexity of one-dimensional dynamic programming, or more specifically, of the Least-Weight Subsequence (LWS) problem: Given a sequence of $n$ data items together with weights for every pair of the items, the task is to determine a subsequence $S$ minimizing the total weight of the pa... |
2404.00506 | Shaofei Shen | Shaofei Shen, Chenhao Zhang, Yawen Zhao, Alina Bialkowski, Weitong
Tony Chen, Miao Xu | Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Machine unlearning aims to remove information derived from forgotten data
while preserving that of the remaining dataset in a well-trained model. With
the increasing emphasis on data privacy, several approaches to machine
unlearning have emerged. However, these methods typically rely on complete
supervision throughou... | [
{
"created": "Sun, 31 Mar 2024 00:29:00 GMT",
"version": "v1"
},
{
"created": "Tue, 7 May 2024 16:06:50 GMT",
"version": "v2"
}
] | 2024-05-08 | [
[
"Shen",
"Shaofei",
""
],
[
"Zhang",
"Chenhao",
""
],
[
"Zhao",
"Yawen",
""
],
[
"Bialkowski",
"Alina",
""
],
[
"Chen",
"Weitong Tony",
""
],
[
"Xu",
"Miao",
""
]
] | Machine unlearning aims to remove information derived from forgotten data while preserving that of the remaining dataset in a well-trained model. With the increasing emphasis on data privacy, several approaches to machine unlearning have emerged. However, these methods typically rely on complete supervision throughout ... |
2402.14367 | Tianyu Fu | Rex Ying, Tianyu Fu, Andrew Wang, Jiaxuan You, Yu Wang, Jure Leskovec | Representation Learning for Frequent Subgraph Mining | Oral Presentation in The Graph Representation Learning and Beyond
(GRL+) Workshop from The 37th International Conference on Ma- chine Learning,
2020 | null | null | null | cs.LG cs.SI | http://creativecommons.org/licenses/by/4.0/ | Identifying frequent subgraphs, also called network motifs, is crucial in
analyzing and predicting properties of real-world networks. However, finding
large commonly-occurring motifs remains a challenging problem not only due to
its NP-hard subroutine of subgraph counting, but also the exponential growth of
the numbe... | [
{
"created": "Thu, 22 Feb 2024 08:11:22 GMT",
"version": "v1"
}
] | 2024-02-23 | [
[
"Ying",
"Rex",
""
],
[
"Fu",
"Tianyu",
""
],
[
"Wang",
"Andrew",
""
],
[
"You",
"Jiaxuan",
""
],
[
"Wang",
"Yu",
""
],
[
"Leskovec",
"Jure",
""
]
] | Identifying frequent subgraphs, also called network motifs, is crucial in analyzing and predicting properties of real-world networks. However, finding large commonly-occurring motifs remains a challenging problem not only due to its NP-hard subroutine of subgraph counting, but also the exponential growth of the number ... |
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