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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2405.18357 | Jundong Xu | Jundong Xu, Hao Fei, Liangming Pan, Qian Liu, Mong-Li Lee, Wynne Hsu | Faithful Logical Reasoning via Symbolic Chain-of-Thought | Accepted by ACL 2024 (main proceeding) | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | While the recent Chain-of-Thought (CoT) technique enhances the reasoning
ability of large language models (LLMs) with the theory of mind, it might still
struggle in handling logical reasoning that relies much on symbolic expressions
and rigid deducing rules. To strengthen the logical reasoning capability of
LLMs, we ... | [
{
"created": "Tue, 28 May 2024 16:55:33 GMT",
"version": "v1"
},
{
"created": "Tue, 11 Jun 2024 07:41:03 GMT",
"version": "v2"
}
] | 2024-06-12 | [
[
"Xu",
"Jundong",
""
],
[
"Fei",
"Hao",
""
],
[
"Pan",
"Liangming",
""
],
[
"Liu",
"Qian",
""
],
[
"Lee",
"Mong-Li",
""
],
[
"Hsu",
"Wynne",
""
]
] | While the recent Chain-of-Thought (CoT) technique enhances the reasoning ability of large language models (LLMs) with the theory of mind, it might still struggle in handling logical reasoning that relies much on symbolic expressions and rigid deducing rules. To strengthen the logical reasoning capability of LLMs, we pr... |
1605.06020 | Zeineb Guizani | Zeineb Guizani and Noureddine Hamdi | Spectrum Resource Management and Interference Mitigation for D2D
Communications with Awareness of BER Constraint in mmWave 5G Underlay Network | Accepted in IEEE Symposium on Computers and Communications June, 2016 | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The work presented in this paper deals with the issue of massive demands for
higher capacity. For that matter, we investigate the spectrum resource
management in outdoor mmWave cell for the uplink of cellular and D2D
communications. Indeed, we provide a first insight how to optimize the system
performance in terms of... | [
{
"created": "Thu, 19 May 2016 15:53:52 GMT",
"version": "v1"
}
] | 2016-05-20 | [
[
"Guizani",
"Zeineb",
""
],
[
"Hamdi",
"Noureddine",
""
]
] | The work presented in this paper deals with the issue of massive demands for higher capacity. For that matter, we investigate the spectrum resource management in outdoor mmWave cell for the uplink of cellular and D2D communications. Indeed, we provide a first insight how to optimize the system performance in terms of a... |
2312.04838 | Suhas Srinath | Suhas Srinath, Shankhanil Mitra, Shika Rao and Rajiv Soundararajan | Learning Generalizable Perceptual Representations for Data-Efficient
No-Reference Image Quality Assessment | Accepted to IEEE/CVF WACV 2024 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | No-reference (NR) image quality assessment (IQA) is an important tool in
enhancing the user experience in diverse visual applications. A major drawback
of state-of-the-art NR-IQA techniques is their reliance on a large number of
human annotations to train models for a target IQA application. To mitigate
this requirem... | [
{
"created": "Fri, 8 Dec 2023 05:24:21 GMT",
"version": "v1"
}
] | 2023-12-11 | [
[
"Srinath",
"Suhas",
""
],
[
"Mitra",
"Shankhanil",
""
],
[
"Rao",
"Shika",
""
],
[
"Soundararajan",
"Rajiv",
""
]
] | No-reference (NR) image quality assessment (IQA) is an important tool in enhancing the user experience in diverse visual applications. A major drawback of state-of-the-art NR-IQA techniques is their reliance on a large number of human annotations to train models for a target IQA application. To mitigate this requiremen... |
1606.01292 | Kaisheng Yao | Kaisheng Yao and Baolin Peng and Geoffrey Zweig and Kam-Fai Wong | An Attentional Neural Conversation Model with Improved Specificity | null | null | null | null | cs.CL cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we propose a neural conversation model for conducting
dialogues. We demonstrate the use of this model to generate help desk
responses, where users are asking questions about PC applications. Our model is
distinguished by two characteristics. First, it models intention across turns
with a recurrent netwo... | [
{
"created": "Fri, 3 Jun 2016 22:26:01 GMT",
"version": "v1"
}
] | 2016-06-07 | [
[
"Yao",
"Kaisheng",
""
],
[
"Peng",
"Baolin",
""
],
[
"Zweig",
"Geoffrey",
""
],
[
"Wong",
"Kam-Fai",
""
]
] | In this paper we propose a neural conversation model for conducting dialogues. We demonstrate the use of this model to generate help desk responses, where users are asking questions about PC applications. Our model is distinguished by two characteristics. First, it models intention across turns with a recurrent network... |
2201.09208 | I-Hsi Kao | I-Hsi Kao, Ya-Zhu Yian, Jian-An Su, Yi-Horng Lai, Jau-Woei Perng,
Tung-Li Hsieh, Yi-Shueh Tsai, and Min-Shiu Hsieh | Design of Sensor Fusion Driver Assistance System for Active Pedestrian
Safety | The 14th International Conference on Automation Technology
(Automation 2017), December 8-10, 2017, Kaohsiung, Taiwan | null | null | null | cs.CV eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we present a parallel architecture for a sensor fusion
detection system that combines a camera and 1D light detection and ranging
(lidar) sensor for object detection. The system contains two object detection
methods, one based on an optical flow, and the other using lidar. The two
sensors can effective... | [
{
"created": "Sun, 23 Jan 2022 08:52:32 GMT",
"version": "v1"
}
] | 2022-01-25 | [
[
"Kao",
"I-Hsi",
""
],
[
"Yian",
"Ya-Zhu",
""
],
[
"Su",
"Jian-An",
""
],
[
"Lai",
"Yi-Horng",
""
],
[
"Perng",
"Jau-Woei",
""
],
[
"Hsieh",
"Tung-Li",
""
],
[
"Tsai",
"Yi-Shueh",
""
],
[
"Hsieh",
... | In this paper, we present a parallel architecture for a sensor fusion detection system that combines a camera and 1D light detection and ranging (lidar) sensor for object detection. The system contains two object detection methods, one based on an optical flow, and the other using lidar. The two sensors can effectively... |
2402.09500 | Matthew Fox | Matthew Fox | On Formally Undecidable Traits of Intelligent Machines | 34 pages | null | null | null | cs.AI cs.LO | http://creativecommons.org/licenses/by/4.0/ | Building on work by Alfonseca et al. (2021), we study the conditions
necessary for it to be logically possible to prove that an arbitrary
artificially intelligent machine will exhibit certain behavior. To do this, we
develop a formalism like -- but mathematically distinct from -- the theory of
formal languages and th... | [
{
"created": "Wed, 14 Feb 2024 18:59:37 GMT",
"version": "v1"
}
] | 2024-02-16 | [
[
"Fox",
"Matthew",
""
]
] | Building on work by Alfonseca et al. (2021), we study the conditions necessary for it to be logically possible to prove that an arbitrary artificially intelligent machine will exhibit certain behavior. To do this, we develop a formalism like -- but mathematically distinct from -- the theory of formal languages and thei... |
2401.15720 | Anat Hashavit | Anat Hashavit, Tamar Stern, Hongning Wang, Sarit Kraus | The Impact of Snippet Reliability on Misinformation in Online Health
Search | null | null | null | null | cs.IR | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Search result snippets are crucial in modern search engines, providing users
with a quick overview of a website's content. Snippets help users determine the
relevance of a document to their information needs, and in certain scenarios
even enable them to satisfy those needs without visiting web documents. Hence,
it is... | [
{
"created": "Sun, 28 Jan 2024 17:59:55 GMT",
"version": "v1"
}
] | 2024-01-30 | [
[
"Hashavit",
"Anat",
""
],
[
"Stern",
"Tamar",
""
],
[
"Wang",
"Hongning",
""
],
[
"Kraus",
"Sarit",
""
]
] | Search result snippets are crucial in modern search engines, providing users with a quick overview of a website's content. Snippets help users determine the relevance of a document to their information needs, and in certain scenarios even enable them to satisfy those needs without visiting web documents. Hence, it is c... |
1109.3437 | Jia Zeng | Jia Zeng and William K. Cheung and Jiming Liu | Learning Topic Models by Belief Propagation | 14 pages, 17 figures | IEEE Transactions on Pattern Analysis and Machine Intelligence,
Volume 33, Number 5, Pages 1121-1134, 2013 | 10.1109/TPAMI.2012.185 | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Latent Dirichlet allocation (LDA) is an important hierarchical Bayesian model
for probabilistic topic modeling, which attracts worldwide interests and
touches on many important applications in text mining, computer vision and
computational biology. This paper represents LDA as a factor graph within the
Markov random ... | [
{
"created": "Thu, 15 Sep 2011 19:20:48 GMT",
"version": "v1"
},
{
"created": "Sun, 25 Sep 2011 21:17:41 GMT",
"version": "v2"
},
{
"created": "Mon, 3 Oct 2011 03:17:44 GMT",
"version": "v3"
},
{
"created": "Sat, 24 Mar 2012 12:47:02 GMT",
"version": "v4"
}
] | 2015-03-19 | [
[
"Zeng",
"Jia",
""
],
[
"Cheung",
"William K.",
""
],
[
"Liu",
"Jiming",
""
]
] | Latent Dirichlet allocation (LDA) is an important hierarchical Bayesian model for probabilistic topic modeling, which attracts worldwide interests and touches on many important applications in text mining, computer vision and computational biology. This paper represents LDA as a factor graph within the Markov random fi... |
2108.09105 | Pierre-Louis Guhur | Pierre-Louis Guhur, Makarand Tapaswi, Shizhe Chen, Ivan Laptev,
Cordelia Schmid | Airbert: In-domain Pretraining for Vision-and-Language Navigation | To be published on ICCV 2021. Webpage is at
https://airbert-vln.github.io/ linking to our dataset, codes and models | null | null | null | cs.CV cs.AI cs.CL cs.HC cs.LG | http://creativecommons.org/licenses/by/4.0/ | Vision-and-language navigation (VLN) aims to enable embodied agents to
navigate in realistic environments using natural language instructions. Given
the scarcity of domain-specific training data and the high diversity of image
and language inputs, the generalization of VLN agents to unseen environments
remains challe... | [
{
"created": "Fri, 20 Aug 2021 10:58:09 GMT",
"version": "v1"
}
] | 2021-08-23 | [
[
"Guhur",
"Pierre-Louis",
""
],
[
"Tapaswi",
"Makarand",
""
],
[
"Chen",
"Shizhe",
""
],
[
"Laptev",
"Ivan",
""
],
[
"Schmid",
"Cordelia",
""
]
] | Vision-and-language navigation (VLN) aims to enable embodied agents to navigate in realistic environments using natural language instructions. Given the scarcity of domain-specific training data and the high diversity of image and language inputs, the generalization of VLN agents to unseen environments remains challeng... |
2405.02782 | David Wood | David A. Wood, Emily Guilhem, Sina Kafiabadi, Ayisha Al Busaidi,
Kishan Dissanayake, Ahmed Hammam, Nina Mansoor, Matthew Townend, Siddharth
Agarwal, Yiran Wei, Asif Mazumder, Gareth J. Barker, Peter Sasieni, Sebastien
Ourselin, James H. Cole, Thomas C. Booth | A self-supervised text-vision framework for automated brain abnormality
detection | Under Review | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Artificial neural networks trained on large, expert-labelled datasets are
considered state-of-the-art for a range of medical image recognition tasks.
However, categorically labelled datasets are time-consuming to generate and
constrain classification to a pre-defined, fixed set of classes. For
neuroradiological appli... | [
{
"created": "Sun, 5 May 2024 01:51:58 GMT",
"version": "v1"
},
{
"created": "Wed, 12 Jun 2024 01:01:51 GMT",
"version": "v2"
}
] | 2024-06-13 | [
[
"Wood",
"David A.",
""
],
[
"Guilhem",
"Emily",
""
],
[
"Kafiabadi",
"Sina",
""
],
[
"Busaidi",
"Ayisha Al",
""
],
[
"Dissanayake",
"Kishan",
""
],
[
"Hammam",
"Ahmed",
""
],
[
"Mansoor",
"Nina",
""
],
... | Artificial neural networks trained on large, expert-labelled datasets are considered state-of-the-art for a range of medical image recognition tasks. However, categorically labelled datasets are time-consuming to generate and constrain classification to a pre-defined, fixed set of classes. For neuroradiological applica... |
2207.08536 | Xi Li | Zequn Qin, Jingyu Chen, Chao Chen, Xiaozhi Chen, Xi Li | UniFusion: Unified Multi-view Fusion Transformer for Spatial-Temporal
Representation in Bird's-Eye-View | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Bird's eye view (BEV) representation is a new perception formulation for
autonomous driving, which is based on spatial fusion. Further, temporal fusion
is also introduced in BEV representation and gains great success. In this work,
we propose a new method that unifies both spatial and temporal fusion and
merges them ... | [
{
"created": "Mon, 18 Jul 2022 11:59:10 GMT",
"version": "v1"
},
{
"created": "Mon, 20 Mar 2023 03:12:09 GMT",
"version": "v2"
}
] | 2023-03-21 | [
[
"Qin",
"Zequn",
""
],
[
"Chen",
"Jingyu",
""
],
[
"Chen",
"Chao",
""
],
[
"Chen",
"Xiaozhi",
""
],
[
"Li",
"Xi",
""
]
] | Bird's eye view (BEV) representation is a new perception formulation for autonomous driving, which is based on spatial fusion. Further, temporal fusion is also introduced in BEV representation and gains great success. In this work, we propose a new method that unifies both spatial and temporal fusion and merges them in... |
2309.13808 | EPTCS | Dafina Trufa\c{s} (University of Bucharest), Ioan Teodorescu
(University of Bucharest), Denisa Diaconescu (University of Bucharest),
Traian \c{S}erb\u{a}nu\c{t}\u{a} (University of Bucharest), Vlad Zamfir
(independent researcher) | Asynchronous Muddy Children Puzzle (work in progress) | In Proceedings FROM 2023, arXiv:2309.12959 | EPTCS 389, 2023, pp. 152-166 | 10.4204/EPTCS.389.13 | null | cs.LO cs.MA | http://creativecommons.org/licenses/by/4.0/ | In this work-in-progress paper we explore using the recently introduced VLSM
formalism to define and reason about the dynamics of agent-based systems. To
this aim we use VLSMs to formally present several possible approaches to
modeling the interactions in the Muddy Children Puzzle as protocols that reach
consensus as... | [
{
"created": "Mon, 25 Sep 2023 01:24:21 GMT",
"version": "v1"
}
] | 2023-09-26 | [
[
"Trufaş",
"Dafina",
"",
"University of Bucharest"
],
[
"Teodorescu",
"Ioan",
"",
"University of Bucharest"
],
[
"Diaconescu",
"Denisa",
"",
"University of Bucharest"
],
[
"Şerbănuţă",
"Traian",
"",
"University of Bucharest"
],
[
"... | In this work-in-progress paper we explore using the recently introduced VLSM formalism to define and reason about the dynamics of agent-based systems. To this aim we use VLSMs to formally present several possible approaches to modeling the interactions in the Muddy Children Puzzle as protocols that reach consensus asyn... |
1211.6940 | Keehang Kwon | Keehang Kwon and Daeseong Kang | Choice Disjunctive Queries in Logic Programming | IEICE transaction on Information and Systems (to appear) | IEICE transaction on Information and Systems vol.E106-D,No.3, 2023 | null | null | cs.LO cs.PL | http://creativecommons.org/licenses/by/4.0/ | One of the long-standing research problems on logic programming is to treat
the cut predicate in a logical, high-level way. We argue that this problem can
be solved by adopting linear logic and choice-disjunctive goal formulas of the
form $G_0 \add G_1$ where $G_0, G_1$ are goals. These goals have the following
inten... | [
{
"created": "Thu, 29 Nov 2012 15:04:31 GMT",
"version": "v1"
},
{
"created": "Mon, 22 Sep 2014 03:30:04 GMT",
"version": "v2"
},
{
"created": "Fri, 4 Sep 2015 06:27:20 GMT",
"version": "v3"
},
{
"created": "Tue, 11 Oct 2022 04:28:33 GMT",
"version": "v4"
}
] | 2023-01-31 | [
[
"Kwon",
"Keehang",
""
],
[
"Kang",
"Daeseong",
""
]
] | One of the long-standing research problems on logic programming is to treat the cut predicate in a logical, high-level way. We argue that this problem can be solved by adopting linear logic and choice-disjunctive goal formulas of the form $G_0 \add G_1$ where $G_0, G_1$ are goals. These goals have the following intende... |
1508.02439 | Di Wang | Di Wang, Satish Rao, Michael W. Mahoney | Unified Acceleration Method for Packing and Covering Problems via
Diameter Reduction | Fixed typo in packing LP formulation (page 1), and wrong citation in
the discussion of earlier works on page 2 | null | null | null | cs.DS cs.NA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The linear coupling method was introduced recently by Allen-Zhu and Orecchia
for solving convex optimization problems with first order methods, and it
provides a conceptually simple way to integrate a gradient descent step and
mirror descent step in each iteration. The high-level approach of the linear
coupling metho... | [
{
"created": "Mon, 10 Aug 2015 21:56:20 GMT",
"version": "v1"
},
{
"created": "Tue, 6 Oct 2015 06:41:38 GMT",
"version": "v2"
}
] | 2015-10-07 | [
[
"Wang",
"Di",
""
],
[
"Rao",
"Satish",
""
],
[
"Mahoney",
"Michael W.",
""
]
] | The linear coupling method was introduced recently by Allen-Zhu and Orecchia for solving convex optimization problems with first order methods, and it provides a conceptually simple way to integrate a gradient descent step and mirror descent step in each iteration. The high-level approach of the linear coupling method ... |
1812.10037 | Jianpeng Cheng J | Jianpeng Cheng and Siva Reddy and Mirella Lapata | Building a Neural Semantic Parser from a Domain Ontology | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Semantic parsing is the task of converting natural language utterances into
machine interpretable meaning representations which can be executed against a
real-world environment such as a database. Scaling semantic parsing to
arbitrary domains faces two interrelated challenges: obtaining broad coverage
training data e... | [
{
"created": "Tue, 25 Dec 2018 05:30:18 GMT",
"version": "v1"
}
] | 2018-12-27 | [
[
"Cheng",
"Jianpeng",
""
],
[
"Reddy",
"Siva",
""
],
[
"Lapata",
"Mirella",
""
]
] | Semantic parsing is the task of converting natural language utterances into machine interpretable meaning representations which can be executed against a real-world environment such as a database. Scaling semantic parsing to arbitrary domains faces two interrelated challenges: obtaining broad coverage training data eff... |
2404.08259 | Udo Kruschwitz | Wan-Hua Her and Udo Kruschwitz | Investigating Neural Machine Translation for Low-Resource Languages:
Using Bavarian as a Case Study | Preprint accepted at the 3rd Annual Meeting of the Special Interest
Group on Under-resourced Languages (SIGUL 2024) | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Machine Translation has made impressive progress in recent years offering
close to human-level performance on many languages, but studies have primarily
focused on high-resource languages with broad online presence and resources.
With the help of growing Large Language Models, more and more low-resource
languages ach... | [
{
"created": "Fri, 12 Apr 2024 06:16:26 GMT",
"version": "v1"
}
] | 2024-04-15 | [
[
"Her",
"Wan-Hua",
""
],
[
"Kruschwitz",
"Udo",
""
]
] | Machine Translation has made impressive progress in recent years offering close to human-level performance on many languages, but studies have primarily focused on high-resource languages with broad online presence and resources. With the help of growing Large Language Models, more and more low-resource languages achie... |
1303.2211 | Nilanjan Dey | Nilanjan Dey, Suvojit Acharjee, Debalina Biswas, Achintya Das, Sheli
Sinha Chaudhuri | Medical Information Embedding in Compressed Watermarked Intravascular
Ultrasound Video | Pages-7 Fig.-15 Tables-2 | Scientific Bulletin of the Politehnica University of Timisoara -
Transactions on Electronics and Communications p-ISSN 1583-3380 , vol.
57(71), no. 2, 2012 | null | null | cs.MM cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In medical field, intravascular ultrasound (IVUS) is a tomographic imaging
modality, which can identify the boundaries of different layers of blood
vessels. IVUS can detect myocardial infarction (heart attack) that remains
ignored and unattended when only angioplasty is done. During the past decade,
it became easier ... | [
{
"created": "Sat, 9 Mar 2013 14:08:23 GMT",
"version": "v1"
}
] | 2013-03-12 | [
[
"Dey",
"Nilanjan",
""
],
[
"Acharjee",
"Suvojit",
""
],
[
"Biswas",
"Debalina",
""
],
[
"Das",
"Achintya",
""
],
[
"Chaudhuri",
"Sheli Sinha",
""
]
] | In medical field, intravascular ultrasound (IVUS) is a tomographic imaging modality, which can identify the boundaries of different layers of blood vessels. IVUS can detect myocardial infarction (heart attack) that remains ignored and unattended when only angioplasty is done. During the past decade, it became easier fo... |
1911.07292 | Hufei Zhu | Hufei Zhu | Two Efficient Ridge Solutions for the Incremental Broad Learning System
on Added Inputs | arXiv admin note: text overlap with arXiv:1911.04872 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes the recursive and square-root BLS algorithms to improve
the original BLS for new added inputs, which utilize the inverse and inverse
Cholesky factor of the Hermitian matrix in the ridge inverse, respectively, to
update the ridge solution. The recursive BLS updates the inverse by the matrix
inversi... | [
{
"created": "Tue, 12 Nov 2019 14:19:52 GMT",
"version": "v1"
},
{
"created": "Tue, 13 Apr 2021 04:36:01 GMT",
"version": "v2"
},
{
"created": "Fri, 16 Apr 2021 06:34:18 GMT",
"version": "v3"
},
{
"created": "Mon, 22 Nov 2021 14:12:51 GMT",
"version": "v4"
},
{
"c... | 2023-01-26 | [
[
"Zhu",
"Hufei",
""
]
] | This paper proposes the recursive and square-root BLS algorithms to improve the original BLS for new added inputs, which utilize the inverse and inverse Cholesky factor of the Hermitian matrix in the ridge inverse, respectively, to update the ridge solution. The recursive BLS updates the inverse by the matrix inversion... |
2103.07658 | Mallikarjun Byrasandra Ramalinga Reddy | Mallikarjun B R, Ayush Tewari, Abdallah Dib, Tim Weyrich, Bernd
Bickel, Hans-Peter Seidel, Hanspeter Pfister, Wojciech Matusik, Louis
Chevallier, Mohamed Elgharib, Christian Theobalt | PhotoApp: Photorealistic Appearance Editing of Head Portraits | http://gvv.mpi-inf.mpg.de/projects/PhotoApp/ | null | null | null | cs.CV cs.GR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Photorealistic editing of portraits is a challenging task as humans are very
sensitive to inconsistencies in faces. We present an approach for high-quality
intuitive editing of the camera viewpoint and scene illumination in a portrait
image. This requires our method to capture and control the full reflectance
field o... | [
{
"created": "Sat, 13 Mar 2021 08:59:49 GMT",
"version": "v1"
},
{
"created": "Thu, 13 May 2021 17:59:43 GMT",
"version": "v2"
}
] | 2021-05-14 | [
[
"R",
"Mallikarjun B",
""
],
[
"Tewari",
"Ayush",
""
],
[
"Dib",
"Abdallah",
""
],
[
"Weyrich",
"Tim",
""
],
[
"Bickel",
"Bernd",
""
],
[
"Seidel",
"Hans-Peter",
""
],
[
"Pfister",
"Hanspeter",
""
],
[
... | Photorealistic editing of portraits is a challenging task as humans are very sensitive to inconsistencies in faces. We present an approach for high-quality intuitive editing of the camera viewpoint and scene illumination in a portrait image. This requires our method to capture and control the full reflectance field of ... |
2305.15805 | Sotiris Anagnostidis | Sotiris Anagnostidis, Dario Pavllo, Luca Biggio, Lorenzo Noci,
Aurelien Lucchi, Thomas Hofmann | Dynamic Context Pruning for Efficient and Interpretable Autoregressive
Transformers | null | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | Autoregressive Transformers adopted in Large Language Models (LLMs) are hard
to scale to long sequences. Despite several works trying to reduce their
computational cost, most of LLMs still adopt attention layers between all pairs
of tokens in the sequence, thus incurring a quadratic cost. In this study, we
present a ... | [
{
"created": "Thu, 25 May 2023 07:39:41 GMT",
"version": "v1"
},
{
"created": "Sun, 28 May 2023 12:11:11 GMT",
"version": "v2"
},
{
"created": "Fri, 31 May 2024 14:02:24 GMT",
"version": "v3"
}
] | 2024-06-03 | [
[
"Anagnostidis",
"Sotiris",
""
],
[
"Pavllo",
"Dario",
""
],
[
"Biggio",
"Luca",
""
],
[
"Noci",
"Lorenzo",
""
],
[
"Lucchi",
"Aurelien",
""
],
[
"Hofmann",
"Thomas",
""
]
] | Autoregressive Transformers adopted in Large Language Models (LLMs) are hard to scale to long sequences. Despite several works trying to reduce their computational cost, most of LLMs still adopt attention layers between all pairs of tokens in the sequence, thus incurring a quadratic cost. In this study, we present a no... |
0908.0980 | R Doomun | Syed S. Rizvi, Khaled M. Elleithy, Aasia Riasat | Deterministic Formulization of SNR for Wireless Multiuser DS-CDMA
Networks | 9 pages IEEE format, International Journal of Computer Science and
Information Security, IJCSIS July 2009, ISSN 1947 5500, Impact Factor 0.423 | International Journal of Computer Science and Information
Security, IJCSIS, Vol. 3, No. 1, July 2009, USA | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Wireless Multiuser receivers suffer from their relatively higher
computational complexity that prevents widespread use of this technique. In
addition, one of the main characteristics of multi-channel communications that
can severely degrade the performance is the inconsistent and low values of SNR
that result in high... | [
{
"created": "Sun, 9 Aug 2009 06:57:39 GMT",
"version": "v1"
}
] | 2009-08-10 | [
[
"Rizvi",
"Syed S.",
""
],
[
"Elleithy",
"Khaled M.",
""
],
[
"Riasat",
"Aasia",
""
]
] | Wireless Multiuser receivers suffer from their relatively higher computational complexity that prevents widespread use of this technique. In addition, one of the main characteristics of multi-channel communications that can severely degrade the performance is the inconsistent and low values of SNR that result in high B... |
2210.16083 | JunKyu Lee | JunKyu Lee, Blesson Varghese, Hans Vandierendonck | ROMA: Run-Time Object Detection To Maximize Real-Time Accuracy | Accepted at the IEEE/CVF Winter Conference on Applications of
Computer Vision (WACV) 2023 | null | 10.1109/WACV56688.2023.00634 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper analyzes the effects of dynamically varying video contents and
detection latency on the real-time detection accuracy of a detector and
proposes a new run-time accuracy variation model, ROMA, based on the findings
from the analysis. ROMA is designed to select an optimal detector out of a set
of detectors in... | [
{
"created": "Fri, 28 Oct 2022 12:06:29 GMT",
"version": "v1"
}
] | 2024-04-30 | [
[
"Lee",
"JunKyu",
""
],
[
"Varghese",
"Blesson",
""
],
[
"Vandierendonck",
"Hans",
""
]
] | This paper analyzes the effects of dynamically varying video contents and detection latency on the real-time detection accuracy of a detector and proposes a new run-time accuracy variation model, ROMA, based on the findings from the analysis. ROMA is designed to select an optimal detector out of a set of detectors in r... |
2406.15111 | T\'eo Guichoux | Teo Guichoux, Laure Soulier, Nicolas Obin, Catherine Pelachaud | Investigating the impact of 2D gesture representation on co-speech
gesture generation | 8 pages. Paper accepted at WACAI 2024 | null | null | null | cs.AI cs.CL cs.CV | http://creativecommons.org/publicdomain/zero/1.0/ | Co-speech gestures play a crucial role in the interactions between humans and
embodied conversational agents (ECA). Recent deep learning methods enable the
generation of realistic, natural co-speech gestures synchronized with speech,
but such approaches require large amounts of training data. "In-the-wild"
datasets, ... | [
{
"created": "Fri, 21 Jun 2024 12:59:20 GMT",
"version": "v1"
},
{
"created": "Mon, 24 Jun 2024 08:19:00 GMT",
"version": "v2"
}
] | 2024-06-25 | [
[
"Guichoux",
"Teo",
""
],
[
"Soulier",
"Laure",
""
],
[
"Obin",
"Nicolas",
""
],
[
"Pelachaud",
"Catherine",
""
]
] | Co-speech gestures play a crucial role in the interactions between humans and embodied conversational agents (ECA). Recent deep learning methods enable the generation of realistic, natural co-speech gestures synchronized with speech, but such approaches require large amounts of training data. "In-the-wild" datasets, wh... |
2107.14110 | Juan C. P\'erez | Juan C. P\'erez, Motasem Alfarra, Guillaume Jeanneret, Laura Rueda,
Ali Thabet, Bernard Ghanem, Pablo Arbel\'aez | Enhancing Adversarial Robustness via Test-time Transformation Ensembling | null | null | null | null | cs.LG cs.CR cs.CV | http://creativecommons.org/licenses/by/4.0/ | Deep learning models are prone to being fooled by imperceptible perturbations
known as adversarial attacks. In this work, we study how equipping models with
Test-time Transformation Ensembling (TTE) can work as a reliable defense
against such attacks. While transforming the input data, both at train and test
times, i... | [
{
"created": "Thu, 29 Jul 2021 15:32:35 GMT",
"version": "v1"
}
] | 2021-07-30 | [
[
"Pérez",
"Juan C.",
""
],
[
"Alfarra",
"Motasem",
""
],
[
"Jeanneret",
"Guillaume",
""
],
[
"Rueda",
"Laura",
""
],
[
"Thabet",
"Ali",
""
],
[
"Ghanem",
"Bernard",
""
],
[
"Arbeláez",
"Pablo",
""
]
] | Deep learning models are prone to being fooled by imperceptible perturbations known as adversarial attacks. In this work, we study how equipping models with Test-time Transformation Ensembling (TTE) can work as a reliable defense against such attacks. While transforming the input data, both at train and test times, is ... |
2405.15640 | Sungwoo Oh | Sungwoo Oh and Donggyu Kim | GECKO: Generative Language Model for English, Code and Korean | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | We introduce GECKO, a bilingual large language model (LLM) optimized for
Korean and English, along with programming languages. GECKO is pretrained on
the balanced, high-quality corpus of Korean and English employing LLaMA
architecture. In this report, we share the experiences of several efforts to
build a better data... | [
{
"created": "Fri, 24 May 2024 15:30:41 GMT",
"version": "v1"
}
] | 2024-05-27 | [
[
"Oh",
"Sungwoo",
""
],
[
"Kim",
"Donggyu",
""
]
] | We introduce GECKO, a bilingual large language model (LLM) optimized for Korean and English, along with programming languages. GECKO is pretrained on the balanced, high-quality corpus of Korean and English employing LLaMA architecture. In this report, we share the experiences of several efforts to build a better data p... |
2312.17641 | Pan Liao | Yang Feng, Liao Pan, Wu Di, Liu Bo, Zhang Xingle | Motion State: A New Benchmark Multiple Object Tracking | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | In the realm of video analysis, the field of multiple object tracking (MOT)
assumes paramount importance, with the motion state of objects-whether static
or dynamic relative to the ground-holding practical significance across diverse
scenarios. However, the extant literature exhibits a notable dearth in the
explorati... | [
{
"created": "Fri, 29 Dec 2023 15:08:06 GMT",
"version": "v1"
},
{
"created": "Tue, 7 May 2024 13:42:52 GMT",
"version": "v2"
}
] | 2024-05-08 | [
[
"Feng",
"Yang",
""
],
[
"Pan",
"Liao",
""
],
[
"Di",
"Wu",
""
],
[
"Bo",
"Liu",
""
],
[
"Xingle",
"Zhang",
""
]
] | In the realm of video analysis, the field of multiple object tracking (MOT) assumes paramount importance, with the motion state of objects-whether static or dynamic relative to the ground-holding practical significance across diverse scenarios. However, the extant literature exhibits a notable dearth in the exploration... |
2208.01352 | Milad Ganjalizadeh | Milad Ganjalizadeh, Hossein S. Ghadikolaei, Johan Haraldson, Marina
Petrova | Interplay between Distributed AI Workflow and URLLC | Accepted in 2022 IEEE Global Communications Conference (GLOBECOM) | null | null | null | cs.NI eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Distributed artificial intelligence (AI) has recently accomplished tremendous
breakthroughs in various communication services, ranging from fault-tolerant
factory automation to smart cities. When distributed learning is run over a set
of wireless connected devices, random channel fluctuations, and the incumbent
servi... | [
{
"created": "Tue, 2 Aug 2022 10:46:50 GMT",
"version": "v1"
}
] | 2022-08-03 | [
[
"Ganjalizadeh",
"Milad",
""
],
[
"Ghadikolaei",
"Hossein S.",
""
],
[
"Haraldson",
"Johan",
""
],
[
"Petrova",
"Marina",
""
]
] | Distributed artificial intelligence (AI) has recently accomplished tremendous breakthroughs in various communication services, ranging from fault-tolerant factory automation to smart cities. When distributed learning is run over a set of wireless connected devices, random channel fluctuations, and the incumbent service... |
2108.09858 | Martin Baigorria Alonso | Mart\'in Baigorria Alonso | Data Augmentation Using Many-To-Many RNNs for Session-Aware Recommender
Systems | null | Proceedings of the ACM WSDM Workshop on Web Tourism (WSDM Webtour
2021) | null | null | cs.IR cs.LG | http://creativecommons.org/licenses/by/4.0/ | The ACM WSDM WebTour 2021 Challenge organized by Booking.com focuses on
applying Session-Aware recommender systems in the travel domain. Given a
sequence of travel bookings in a user trip, we look to recommend the user's
next destination. To handle the large dimensionality of the output's space, we
propose a many-to-... | [
{
"created": "Sun, 22 Aug 2021 22:12:25 GMT",
"version": "v1"
}
] | 2021-08-27 | [
[
"Alonso",
"Martín Baigorria",
""
]
] | The ACM WSDM WebTour 2021 Challenge organized by Booking.com focuses on applying Session-Aware recommender systems in the travel domain. Given a sequence of travel bookings in a user trip, we look to recommend the user's next destination. To handle the large dimensionality of the output's space, we propose a many-to-ma... |
2307.07240 | Bin-Cheng Yang | Bincheng Yang and Gangshan Wu | MaxSR: Image Super-Resolution Using Improved MaxViT | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While transformer models have been demonstrated to be effective for natural
language processing tasks and high-level vision tasks, only a few attempts have
been made to use powerful transformer models for single image super-resolution.
Because transformer models have powerful representation capacity and the
in-built ... | [
{
"created": "Fri, 14 Jul 2023 09:26:47 GMT",
"version": "v1"
}
] | 2023-07-17 | [
[
"Yang",
"Bincheng",
""
],
[
"Wu",
"Gangshan",
""
]
] | While transformer models have been demonstrated to be effective for natural language processing tasks and high-level vision tasks, only a few attempts have been made to use powerful transformer models for single image super-resolution. Because transformer models have powerful representation capacity and the in-built se... |
0811.4170 | Alain Barrat | Alain Barrat, Ciro Cattuto, Vittoria Colizza, Jean-Francois Pinton,
Wouter Van den Broeck, Alessandro Vespignani | High resolution dynamical mapping of social interactions with active
RFID | null | PLoS ONE 5(7): e11596 (2010) | 10.1371/journal.pone.0011596 | null | cs.CY cs.HC physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we present an experimental framework to gather data on
face-to-face social interactions between individuals, with a high spatial and
temporal resolution. We use active Radio Frequency Identification (RFID)
devices that assess contacts with one another by exchanging low-power radio
packets. When individu... | [
{
"created": "Tue, 25 Nov 2008 20:54:34 GMT",
"version": "v1"
},
{
"created": "Tue, 25 Nov 2008 21:01:28 GMT",
"version": "v2"
}
] | 2010-08-18 | [
[
"Barrat",
"Alain",
""
],
[
"Cattuto",
"Ciro",
""
],
[
"Colizza",
"Vittoria",
""
],
[
"Pinton",
"Jean-Francois",
""
],
[
"Broeck",
"Wouter Van den",
""
],
[
"Vespignani",
"Alessandro",
""
]
] | In this paper we present an experimental framework to gather data on face-to-face social interactions between individuals, with a high spatial and temporal resolution. We use active Radio Frequency Identification (RFID) devices that assess contacts with one another by exchanging low-power radio packets. When individual... |
2009.04426 | Felipe Del Rio | Pablo Messina, Manuel Cartagena, Patricio Cerda-Mardini, Felipe del
Rio and Denis Parra | CuratorNet: Visually-aware Recommendation of Art Images | null | null | null | null | cs.IR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Although there are several visually-aware recommendation models in domains
like fashion or even movies, the art domain lacks thesame level of research
attention, despite the recent growth of the online artwork market. To reduce
this gap, in this article we introduceCuratorNet, a neural network architecture
for visual... | [
{
"created": "Wed, 9 Sep 2020 17:22:17 GMT",
"version": "v1"
},
{
"created": "Wed, 30 Sep 2020 12:35:08 GMT",
"version": "v2"
}
] | 2020-10-01 | [
[
"Messina",
"Pablo",
""
],
[
"Cartagena",
"Manuel",
""
],
[
"Cerda-Mardini",
"Patricio",
""
],
[
"del Rio",
"Felipe",
""
],
[
"Parra",
"Denis",
""
]
] | Although there are several visually-aware recommendation models in domains like fashion or even movies, the art domain lacks thesame level of research attention, despite the recent growth of the online artwork market. To reduce this gap, in this article we introduceCuratorNet, a neural network architecture for visually... |
2407.05458 | Fei Wang | Fei Wang, Weibo Gao, Qi Liu, Jiatong Li, Guanhao Zhao, Zheng Zhang,
Zhenya Huang, Mengxiao Zhu, Shijin Wang, Wei Tong, Enhong Chen | A Survey of Models for Cognitive Diagnosis: New Developments and Future
Directions | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cognitive diagnosis has been developed for decades as an effective
measurement tool to evaluate human cognitive status such as ability level and
knowledge mastery. It has been applied to a wide range of fields including
education, sport, psychological diagnosis, etc. By providing better awareness
of cognitive status,... | [
{
"created": "Sun, 7 Jul 2024 18:02:00 GMT",
"version": "v1"
}
] | 2024-07-09 | [
[
"Wang",
"Fei",
""
],
[
"Gao",
"Weibo",
""
],
[
"Liu",
"Qi",
""
],
[
"Li",
"Jiatong",
""
],
[
"Zhao",
"Guanhao",
""
],
[
"Zhang",
"Zheng",
""
],
[
"Huang",
"Zhenya",
""
],
[
"Zhu",
"Mengxiao",
... | Cognitive diagnosis has been developed for decades as an effective measurement tool to evaluate human cognitive status such as ability level and knowledge mastery. It has been applied to a wide range of fields including education, sport, psychological diagnosis, etc. By providing better awareness of cognitive status, i... |
2312.07685 | Yinmin Zhang | Yinmin Zhang, Jie Liu, Chuming Li, Yazhe Niu, Yaodong Yang, Yu Liu,
Wanli Ouyang | A Perspective of Q-value Estimation on Offline-to-Online Reinforcement
Learning | Accepted at AAAI 2024 | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Offline-to-online Reinforcement Learning (O2O RL) aims to improve the
performance of offline pretrained policy using only a few online samples. Built
on offline RL algorithms, most O2O methods focus on the balance between RL
objective and pessimism, or the utilization of offline and online samples. In
this paper, fro... | [
{
"created": "Tue, 12 Dec 2023 19:24:35 GMT",
"version": "v1"
}
] | 2023-12-14 | [
[
"Zhang",
"Yinmin",
""
],
[
"Liu",
"Jie",
""
],
[
"Li",
"Chuming",
""
],
[
"Niu",
"Yazhe",
""
],
[
"Yang",
"Yaodong",
""
],
[
"Liu",
"Yu",
""
],
[
"Ouyang",
"Wanli",
""
]
] | Offline-to-online Reinforcement Learning (O2O RL) aims to improve the performance of offline pretrained policy using only a few online samples. Built on offline RL algorithms, most O2O methods focus on the balance between RL objective and pessimism, or the utilization of offline and online samples. In this paper, from ... |
1909.07818 | Lasse Hansen | Lasse Hansen, Doris Dittmer, Mattias P. Heinrich | Learning Deformable Point Set Registration with Regularized Dynamic
Graph CNNs for Large Lung Motion in COPD Patients | accepted for MICCAI 2019 Workshop Graph Learning in Medical Imaging | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deformable registration continues to be one of the key challenges in medical
image analysis. While iconic registration methods have started to benefit from
the recent advances in medical deep learning, the same does not yet apply for
the registration of point sets, e.g. registration based on surfaces, keypoints
or la... | [
{
"created": "Tue, 17 Sep 2019 13:59:04 GMT",
"version": "v1"
}
] | 2019-09-18 | [
[
"Hansen",
"Lasse",
""
],
[
"Dittmer",
"Doris",
""
],
[
"Heinrich",
"Mattias P.",
""
]
] | Deformable registration continues to be one of the key challenges in medical image analysis. While iconic registration methods have started to benefit from the recent advances in medical deep learning, the same does not yet apply for the registration of point sets, e.g. registration based on surfaces, keypoints or land... |
2403.11369 | KV Aditya Srivatsa | KV Aditya Srivatsa and Ekaterina Kochmar | What Makes Math Word Problems Challenging for LLMs? | Accepted to NAACL Findings 2024 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | This paper investigates the question of what makes math word problems (MWPs)
in English challenging for large language models (LLMs). We conduct an in-depth
analysis of the key linguistic and mathematical characteristics of MWPs. In
addition, we train feature-based classifiers to better understand the impact of
each ... | [
{
"created": "Sun, 17 Mar 2024 23:18:40 GMT",
"version": "v1"
},
{
"created": "Mon, 1 Apr 2024 13:58:34 GMT",
"version": "v2"
}
] | 2024-04-02 | [
[
"Srivatsa",
"KV Aditya",
""
],
[
"Kochmar",
"Ekaterina",
""
]
] | This paper investigates the question of what makes math word problems (MWPs) in English challenging for large language models (LLMs). We conduct an in-depth analysis of the key linguistic and mathematical characteristics of MWPs. In addition, we train feature-based classifiers to better understand the impact of each fe... |
2301.04727 | Joaquin Garcia-Alfaro | Iain Burge, Michel Barbeau, Joaquin Garcia-Alfaro | A Quantum Algorithm for Shapley Value Estimation | 29 pages, 8 figures, 21 references, baseline (preprint) QCE 2023
(IEEE International Conference on Quantum Computing and Engineering)
Technical Paper (Quantum Algorithms for Shapley Value Calculation) | null | null | null | cs.ET cs.CR math.QA | http://creativecommons.org/licenses/by/4.0/ | The introduction of the European Union's (EU) set of comprehensive
regulations relating to technology, the General Data Protection Regulation,
grants EU citizens the right to explanations for automated decisions that have
significant effects on their life. This poses a substantial challenge, as many
of today's state-... | [
{
"created": "Wed, 11 Jan 2023 21:32:59 GMT",
"version": "v1"
},
{
"created": "Wed, 15 Mar 2023 16:10:32 GMT",
"version": "v2"
},
{
"created": "Fri, 14 Jul 2023 08:17:46 GMT",
"version": "v3"
}
] | 2023-08-24 | [
[
"Burge",
"Iain",
""
],
[
"Barbeau",
"Michel",
""
],
[
"Garcia-Alfaro",
"Joaquin",
""
]
] | The introduction of the European Union's (EU) set of comprehensive regulations relating to technology, the General Data Protection Regulation, grants EU citizens the right to explanations for automated decisions that have significant effects on their life. This poses a substantial challenge, as many of today's state-of... |
2311.09394 | Marco Elver | Kostya Serebryany, Chris Kennelly, Mitch Phillips, Matt Denton, Marco
Elver, Alexander Potapenko, Matt Morehouse, Vlad Tsyrklevich, Christian
Holler, Julian Lettner, David Kilzer, Lander Brandt | GWP-ASan: Sampling-Based Detection of Memory-Safety Bugs in Production | null | null | null | null | cs.SE cs.PL | http://creativecommons.org/licenses/by/4.0/ | Despite the recent advances in pre-production bug detection,
heap-use-after-free and heap-buffer-overflow bugs remain the primary problem
for security, reliability, and developer productivity for applications written
in C or C++, across all major software ecosystems. Memory-safe languages solve
this problem when they... | [
{
"created": "Wed, 15 Nov 2023 21:41:53 GMT",
"version": "v1"
},
{
"created": "Sat, 13 Jan 2024 14:42:26 GMT",
"version": "v2"
}
] | 2024-01-17 | [
[
"Serebryany",
"Kostya",
""
],
[
"Kennelly",
"Chris",
""
],
[
"Phillips",
"Mitch",
""
],
[
"Denton",
"Matt",
""
],
[
"Elver",
"Marco",
""
],
[
"Potapenko",
"Alexander",
""
],
[
"Morehouse",
"Matt",
""
],
... | Despite the recent advances in pre-production bug detection, heap-use-after-free and heap-buffer-overflow bugs remain the primary problem for security, reliability, and developer productivity for applications written in C or C++, across all major software ecosystems. Memory-safe languages solve this problem when they a... |
2103.05469 | Mark Stamp | Andy Phung and Mark Stamp | Universal Adversarial Perturbations and Image Spam Classifiers | null | null | null | null | cs.CR cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | As the name suggests, image spam is spam email that has been embedded in an
image. Image spam was developed in an effort to evade text-based filters.
Modern deep learning-based classifiers perform well in detecting typical image
spam that is seen in the wild. In this chapter, we evaluate numerous
adversarial techniqu... | [
{
"created": "Sun, 7 Mar 2021 14:36:02 GMT",
"version": "v1"
}
] | 2021-03-10 | [
[
"Phung",
"Andy",
""
],
[
"Stamp",
"Mark",
""
]
] | As the name suggests, image spam is spam email that has been embedded in an image. Image spam was developed in an effort to evade text-based filters. Modern deep learning-based classifiers perform well in detecting typical image spam that is seen in the wild. In this chapter, we evaluate numerous adversarial techniques... |
1606.02409 | Zeng Yulong | Pingzhong Tang and Yulong Zeng | How to manipulate truthful prior-dependent mechanisms? | 29 pages, 1 figure | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the standard formulation of mechanism design, a key assumption is that the
designer has reliable information and technology to determine a prior
distribution on types of the agents. In the meanwhile, as pointed out by the
Wilson's Principle, a mechanism should reply as little as possible on the
accuracy of prior t... | [
{
"created": "Wed, 8 Jun 2016 05:59:14 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Jul 2016 05:18:21 GMT",
"version": "v2"
}
] | 2016-07-20 | [
[
"Tang",
"Pingzhong",
""
],
[
"Zeng",
"Yulong",
""
]
] | In the standard formulation of mechanism design, a key assumption is that the designer has reliable information and technology to determine a prior distribution on types of the agents. In the meanwhile, as pointed out by the Wilson's Principle, a mechanism should reply as little as possible on the accuracy of prior typ... |
1904.06903 | Xiangyu Xu | Xiangyu Xu, Muchen Li, Wenxiu Sun | Learning Deformable Kernels for Image and Video Denoising | 10 pages | null | null | null | cs.CV cs.AI cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most of the classical denoising methods restore clear results by selecting
and averaging pixels in the noisy input. Instead of relying on hand-crafted
selecting and averaging strategies, we propose to explicitly learn this process
with deep neural networks. Specifically, we propose deformable 2D kernels for
image den... | [
{
"created": "Mon, 15 Apr 2019 08:15:09 GMT",
"version": "v1"
}
] | 2019-04-16 | [
[
"Xu",
"Xiangyu",
""
],
[
"Li",
"Muchen",
""
],
[
"Sun",
"Wenxiu",
""
]
] | Most of the classical denoising methods restore clear results by selecting and averaging pixels in the noisy input. Instead of relying on hand-crafted selecting and averaging strategies, we propose to explicitly learn this process with deep neural networks. Specifically, we propose deformable 2D kernels for image denoi... |
1610.04872 | Bodhisattwa Majumder | Bodhisattwa Prasad Majumder, Ayan Sengupta, Sajal jain, Parikshit
Bhaduri | Fault Detection Engine in Intelligent Predictive Analytics Platform for
DCIM | Accepted in 4th International Conference on Business Analytics and
Intelligence (ICBAI 2016) | null | null | null | cs.AI cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the advancement of huge data generation and data handling capability,
Machine Learning and Probabilistic modelling enables an immense opportunity to
employ predictive analytics platform in high security critical industries
namely data centers, electricity grids, utilities, airport etc. where downtime
minimizatio... | [
{
"created": "Sun, 16 Oct 2016 15:14:36 GMT",
"version": "v1"
}
] | 2016-10-18 | [
[
"Majumder",
"Bodhisattwa Prasad",
""
],
[
"Sengupta",
"Ayan",
""
],
[
"jain",
"Sajal",
""
],
[
"Bhaduri",
"Parikshit",
""
]
] | With the advancement of huge data generation and data handling capability, Machine Learning and Probabilistic modelling enables an immense opportunity to employ predictive analytics platform in high security critical industries namely data centers, electricity grids, utilities, airport etc. where downtime minimization ... |
2106.11196 | Benedikt Boenninghoff | Benedikt Boenninghoff, Dorothea Kolossa, Robert M. Nickel | Self-Calibrating Neural-Probabilistic Model for Authorship Verification
Under Covariate Shift | 12th International Conference of the CLEF Association, 2021 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | We are addressing two fundamental problems in authorship verification (AV):
Topic variability and miscalibration. Variations in the topic of two disputed
texts are a major cause of error for most AV systems. In addition, it is
observed that the underlying probability estimates produced by deep learning AV
mechanisms ... | [
{
"created": "Mon, 21 Jun 2021 15:33:48 GMT",
"version": "v1"
}
] | 2021-06-22 | [
[
"Boenninghoff",
"Benedikt",
""
],
[
"Kolossa",
"Dorothea",
""
],
[
"Nickel",
"Robert M.",
""
]
] | We are addressing two fundamental problems in authorship verification (AV): Topic variability and miscalibration. Variations in the topic of two disputed texts are a major cause of error for most AV systems. In addition, it is observed that the underlying probability estimates produced by deep learning AV mechanisms of... |
2107.12429 | Pan Ji | Pan Ji, Runze Li, Bir Bhanu, Yi Xu | MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth
Estimation for Indoor Environments | ICCV 2021 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Self-supervised depth estimation for indoor environments is more challenging
than its outdoor counterpart in at least the following two aspects: (i) the
depth range of indoor sequences varies a lot across different frames, making it
difficult for the depth network to induce consistent depth cues, whereas the
maximum ... | [
{
"created": "Mon, 26 Jul 2021 18:45:14 GMT",
"version": "v1"
},
{
"created": "Wed, 28 Jul 2021 00:32:57 GMT",
"version": "v2"
}
] | 2021-07-29 | [
[
"Ji",
"Pan",
""
],
[
"Li",
"Runze",
""
],
[
"Bhanu",
"Bir",
""
],
[
"Xu",
"Yi",
""
]
] | Self-supervised depth estimation for indoor environments is more challenging than its outdoor counterpart in at least the following two aspects: (i) the depth range of indoor sequences varies a lot across different frames, making it difficult for the depth network to induce consistent depth cues, whereas the maximum di... |
2208.11904 | Gayan Kulatilleke | Gayan K. Kulatilleke, Sugandika Samarakoon | Empirical study of Machine Learning Classifier Evaluation Metrics
behavior in Massively Imbalanced and Noisy data | null | null | null | null | cs.LG cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With growing credit card transaction volumes, the fraud percentages are also
rising, including overhead costs for institutions to combat and compensate
victims. The use of machine learning into the financial sector permits more
effective protection against fraud and other economic crime. Suitably trained
machine lear... | [
{
"created": "Thu, 25 Aug 2022 07:30:31 GMT",
"version": "v1"
}
] | 2022-08-26 | [
[
"Kulatilleke",
"Gayan K.",
""
],
[
"Samarakoon",
"Sugandika",
""
]
] | With growing credit card transaction volumes, the fraud percentages are also rising, including overhead costs for institutions to combat and compensate victims. The use of machine learning into the financial sector permits more effective protection against fraud and other economic crime. Suitably trained machine learni... |
1807.11164 | Xiangyu Zhang | Ningning Ma, Xiangyu Zhang, Hai-Tao Zheng, Jian Sun | ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture
Design | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Currently, the neural network architecture design is mostly guided by the
\emph{indirect} metric of computation complexity, i.e., FLOPs. However, the
\emph{direct} metric, e.g., speed, also depends on the other factors such as
memory access cost and platform characterics. Thus, this work proposes to
evaluate the dire... | [
{
"created": "Mon, 30 Jul 2018 04:18:25 GMT",
"version": "v1"
}
] | 2018-07-31 | [
[
"Ma",
"Ningning",
""
],
[
"Zhang",
"Xiangyu",
""
],
[
"Zheng",
"Hai-Tao",
""
],
[
"Sun",
"Jian",
""
]
] | Currently, the neural network architecture design is mostly guided by the \emph{indirect} metric of computation complexity, i.e., FLOPs. However, the \emph{direct} metric, e.g., speed, also depends on the other factors such as memory access cost and platform characterics. Thus, this work proposes to evaluate the direct... |
2105.10011 | Leonard Berrada | Leonard Berrada, Andrew Zisserman, M. Pawan Kumar | Comment on Stochastic Polyak Step-Size: Performance of ALI-G | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This is a short note on the performance of the ALI-G algorithm (Berrada et
al., 2020) as reported in (Loizou et al., 2021). ALI-G (Berrada et al., 2020)
and SPS (Loizou et al., 2021) are both adaptations of the Polyak step-size to
optimize machine learning models that can interpolate the training data. The
main algor... | [
{
"created": "Thu, 20 May 2021 19:57:34 GMT",
"version": "v1"
}
] | 2021-05-24 | [
[
"Berrada",
"Leonard",
""
],
[
"Zisserman",
"Andrew",
""
],
[
"Kumar",
"M. Pawan",
""
]
] | This is a short note on the performance of the ALI-G algorithm (Berrada et al., 2020) as reported in (Loizou et al., 2021). ALI-G (Berrada et al., 2020) and SPS (Loizou et al., 2021) are both adaptations of the Polyak step-size to optimize machine learning models that can interpolate the training data. The main algorit... |
cs/0208012 | Jim Gray | Jim Gray, Alexander S. Szalay, Ani R. Thakar, Christopher Stoughton,
Jan vandenBerg | Online Scientific Data Curation, Publication, and Archiving | original at
http://research.microsoft.com/scripts/pubs/view.asp?TR_ID=MSR-TR-2002-74 | null | 10.1117/12.461524 | MSR-TR-2002-74 | cs.DL | null | Science projects are data publishers. The scale and complexity of current and
future science data changes the nature of the publication process. Publication
is becoming a major project component. At a minimum, a project must preserve
the ephemeral data it gathers. Derived data can be reconstructed from metadata,
but ... | [
{
"created": "Wed, 7 Aug 2002 22:42:31 GMT",
"version": "v1"
}
] | 2015-06-25 | [
[
"Gray",
"Jim",
""
],
[
"Szalay",
"Alexander S.",
""
],
[
"Thakar",
"Ani R.",
""
],
[
"Stoughton",
"Christopher",
""
],
[
"vandenBerg",
"Jan",
""
]
] | Science projects are data publishers. The scale and complexity of current and future science data changes the nature of the publication process. Publication is becoming a major project component. At a minimum, a project must preserve the ephemeral data it gathers. Derived data can be reconstructed from metadata, but me... |
2207.04606 | Zihao Ye | Zihao Ye, Ruihang Lai, Junru Shao, Tianqi Chen, Luis Ceze | SparseTIR: Composable Abstractions for Sparse Compilation in Deep
Learning | To appear at ASPLOS 2023 (19 pages, 23 figures), source code
available at https://github.com/uwsampl/sparsetir, artifact available at
https://github.com/uwsampl/sparsetir-artifact | null | null | null | cs.LG cs.AI cs.PL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Sparse tensors are rapidly becoming critical components of modern deep
learning workloads. However, developing high-performance sparse operators can
be difficult and tedious, and existing vendor libraries cannot satisfy the
escalating demands from new operators. Sparse tensor compilers simplify the
development of ope... | [
{
"created": "Mon, 11 Jul 2022 03:49:53 GMT",
"version": "v1"
},
{
"created": "Fri, 26 Aug 2022 03:57:10 GMT",
"version": "v2"
},
{
"created": "Fri, 11 Nov 2022 01:48:13 GMT",
"version": "v3"
},
{
"created": "Tue, 21 Feb 2023 16:51:55 GMT",
"version": "v4"
}
] | 2023-02-22 | [
[
"Ye",
"Zihao",
""
],
[
"Lai",
"Ruihang",
""
],
[
"Shao",
"Junru",
""
],
[
"Chen",
"Tianqi",
""
],
[
"Ceze",
"Luis",
""
]
] | Sparse tensors are rapidly becoming critical components of modern deep learning workloads. However, developing high-performance sparse operators can be difficult and tedious, and existing vendor libraries cannot satisfy the escalating demands from new operators. Sparse tensor compilers simplify the development of opera... |
1602.00248 | Adam Kucharski | Adam J. Kucharski | Modelling the transmission dynamics of online social contagion | 13 pages, 6 figures, 2 tables | null | null | null | cs.SI physics.soc-ph | http://creativecommons.org/licenses/by/4.0/ | During 2014-15, there were several outbreaks of nominated-based online social
contagion. These infections, which were transmitted from one individual to
another via posts on social media, included games such as 'neknomination', 'ice
bucket challenge', 'no make up selfies', and Facebook users re-posting their
first pr... | [
{
"created": "Sun, 31 Jan 2016 13:58:17 GMT",
"version": "v1"
}
] | 2016-02-02 | [
[
"Kucharski",
"Adam J.",
""
]
] | During 2014-15, there were several outbreaks of nominated-based online social contagion. These infections, which were transmitted from one individual to another via posts on social media, included games such as 'neknomination', 'ice bucket challenge', 'no make up selfies', and Facebook users re-posting their first prof... |
2403.00278 | Jinho Bok | Jinho Bok, Weijie Su, Jason M. Altschuler | Shifted Interpolation for Differential Privacy | 45 pages, ICML 2024. v2: added lower bounds (Appendix C.5) | null | null | null | cs.LG cs.CR math.OC math.ST stat.ML stat.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Noisy gradient descent and its variants are the predominant algorithms for
differentially private machine learning. It is a fundamental question to
quantify their privacy leakage, yet tight characterizations remain open even in
the foundational setting of convex losses. This paper improves over previous
analyses by e... | [
{
"created": "Fri, 1 Mar 2024 04:50:04 GMT",
"version": "v1"
},
{
"created": "Wed, 12 Jun 2024 04:08:27 GMT",
"version": "v2"
}
] | 2024-06-13 | [
[
"Bok",
"Jinho",
""
],
[
"Su",
"Weijie",
""
],
[
"Altschuler",
"Jason M.",
""
]
] | Noisy gradient descent and its variants are the predominant algorithms for differentially private machine learning. It is a fundamental question to quantify their privacy leakage, yet tight characterizations remain open even in the foundational setting of convex losses. This paper improves over previous analyses by est... |
2207.03618 | Shannan Guan | Shannan Guan, Haiyan Lu, Linchao Zhu, Gengfa Fang | PoseGU: 3D Human Pose Estimation with Novel Human Pose Generator and
Unbiased Learning | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | 3D pose estimation has recently gained substantial interests in computer
vision domain. Existing 3D pose estimation methods have a strong reliance on
large size well-annotated 3D pose datasets, and they suffer poor model
generalization on unseen poses due to limited diversity of 3D poses in training
sets. In this wor... | [
{
"created": "Thu, 7 Jul 2022 23:43:53 GMT",
"version": "v1"
}
] | 2022-07-11 | [
[
"Guan",
"Shannan",
""
],
[
"Lu",
"Haiyan",
""
],
[
"Zhu",
"Linchao",
""
],
[
"Fang",
"Gengfa",
""
]
] | 3D pose estimation has recently gained substantial interests in computer vision domain. Existing 3D pose estimation methods have a strong reliance on large size well-annotated 3D pose datasets, and they suffer poor model generalization on unseen poses due to limited diversity of 3D poses in training sets. In this work,... |
2104.07516 | Chengtang Yao | Chengtang Yao, Yunde Jia, Huijun Di, Pengxiang Li, Yuwei Wu | A Decomposition Model for Stereo Matching | CVPR 2021 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | In this paper, we present a decomposition model for stereo matching to solve
the problem of excessive growth in computational cost (time and memory cost) as
the resolution increases. In order to reduce the huge cost of stereo matching
at the original resolution, our model only runs dense matching at a very low
resolu... | [
{
"created": "Thu, 15 Apr 2021 15:16:23 GMT",
"version": "v1"
}
] | 2021-04-16 | [
[
"Yao",
"Chengtang",
""
],
[
"Jia",
"Yunde",
""
],
[
"Di",
"Huijun",
""
],
[
"Li",
"Pengxiang",
""
],
[
"Wu",
"Yuwei",
""
]
] | In this paper, we present a decomposition model for stereo matching to solve the problem of excessive growth in computational cost (time and memory cost) as the resolution increases. In order to reduce the huge cost of stereo matching at the original resolution, our model only runs dense matching at a very low resoluti... |
2208.01250 | Chaozhuo Li | Yiding Zhang, Chaozhuo Li, Senzhang Wang, Jianxun Lian, Xing Xie | Geometric Interaction Augmented Graph Collaborative Filtering | null | null | null | null | cs.IR | http://creativecommons.org/licenses/by/4.0/ | Graph-based collaborative filtering is capable of capturing the essential and
abundant collaborative signals from the high-order interactions, and thus
received increasingly research interests. Conventionally, the embeddings of
users and items are defined in the Euclidean spaces, along with the propagation
on the int... | [
{
"created": "Tue, 2 Aug 2022 04:53:17 GMT",
"version": "v1"
}
] | 2022-08-03 | [
[
"Zhang",
"Yiding",
""
],
[
"Li",
"Chaozhuo",
""
],
[
"Wang",
"Senzhang",
""
],
[
"Lian",
"Jianxun",
""
],
[
"Xie",
"Xing",
""
]
] | Graph-based collaborative filtering is capable of capturing the essential and abundant collaborative signals from the high-order interactions, and thus received increasingly research interests. Conventionally, the embeddings of users and items are defined in the Euclidean spaces, along with the propagation on the inter... |
2003.13320 | Kai Niu | Kai Niu and Yan Li | Polar Coded Diversity on Block Fading Channels via Polar Spectrum | 13 pages, 5 figues | null | 10.1109/TSP.2021.3094652 | null | cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | Due to the advantage of capacity-achieving, polar codes have been extended to
the block fading channel whereas most constructions involve complex
iterative-calculation. In this paper, we establish a systematic framework to
analyze the error performance of polar codes in the case of block mapping and
random mapping. F... | [
{
"created": "Mon, 30 Mar 2020 10:12:14 GMT",
"version": "v1"
}
] | 2021-08-11 | [
[
"Niu",
"Kai",
""
],
[
"Li",
"Yan",
""
]
] | Due to the advantage of capacity-achieving, polar codes have been extended to the block fading channel whereas most constructions involve complex iterative-calculation. In this paper, we establish a systematic framework to analyze the error performance of polar codes in the case of block mapping and random mapping. For... |
2209.13803 | Luo Ping | Ping Luo, Jieren Cheng, Zhenhao Liu, N.Xiong, Jie Wu | FedVeca: Federated Vectorized Averaging on Non-IID Data with Adaptive
Bi-directional Global Objective | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Federated Learning (FL) is a distributed machine learning framework to
alleviate the data silos, where decentralized clients collaboratively learn a
global model without sharing their private data. However, the clients'
Non-Independent and Identically Distributed (Non-IID) data negatively affect
the trained model, an... | [
{
"created": "Wed, 28 Sep 2022 03:14:10 GMT",
"version": "v1"
},
{
"created": "Tue, 7 Feb 2023 11:14:06 GMT",
"version": "v2"
}
] | 2023-02-08 | [
[
"Luo",
"Ping",
""
],
[
"Cheng",
"Jieren",
""
],
[
"Liu",
"Zhenhao",
""
],
[
"Xiong",
"N.",
""
],
[
"Wu",
"Jie",
""
]
] | Federated Learning (FL) is a distributed machine learning framework to alleviate the data silos, where decentralized clients collaboratively learn a global model without sharing their private data. However, the clients' Non-Independent and Identically Distributed (Non-IID) data negatively affect the trained model, and ... |
2002.01358 | Shan Zhang | Xiao Ma, Ao Zhou, Shan Zhang, Shangguang Wang | Cooperative Service Caching and Workload Scheduling in Mobile Edge
Computing | INFOCOM 2020 | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Mobile edge computing is beneficial to reduce service response time and core
network traffic by pushing cloud functionalities to network edge. Equipped with
storage and computation capacities, edge nodes can cache services of
resource-intensive and delay-sensitive mobile applications and process the
corresponding com... | [
{
"created": "Tue, 4 Feb 2020 15:06:44 GMT",
"version": "v1"
}
] | 2020-02-05 | [
[
"Ma",
"Xiao",
""
],
[
"Zhou",
"Ao",
""
],
[
"Zhang",
"Shan",
""
],
[
"Wang",
"Shangguang",
""
]
] | Mobile edge computing is beneficial to reduce service response time and core network traffic by pushing cloud functionalities to network edge. Equipped with storage and computation capacities, edge nodes can cache services of resource-intensive and delay-sensitive mobile applications and process the corresponding compu... |
1907.12891 | Olivier Rukundo | Olivier Rukundo | 4X4 Census Transform | 3 pages, 9 figures, 2 tables | null | null | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a 4X4 Census Transform (4X4CT) to encourage further
research in computer vision and visual computing. Unlike the traditional 3X3 CT
which uses a nine pixels kernel, the proposed 4X4CT uses a sixteen pixels
kernel with four overlapped groups of 3X3 kernel size. In each overlapping
group, a referenc... | [
{
"created": "Tue, 30 Jul 2019 13:30:45 GMT",
"version": "v1"
}
] | 2019-07-31 | [
[
"Rukundo",
"Olivier",
""
]
] | This paper proposes a 4X4 Census Transform (4X4CT) to encourage further research in computer vision and visual computing. Unlike the traditional 3X3 CT which uses a nine pixels kernel, the proposed 4X4CT uses a sixteen pixels kernel with four overlapped groups of 3X3 kernel size. In each overlapping group, a reference ... |
2108.01454 | Albert Weichselbraun | Albert Weichselbraun | Inscriptis -- A Python-based HTML to text conversion library optimized
for knowledge extraction from the Web | Preprint of the published version, which includes all improvements
made during the review process | Journal of Open Source Software (2021), 6(66), 3557 | 10.21105/joss.03557 | null | cs.IR | http://creativecommons.org/licenses/by/4.0/ | Inscriptis provides a library, command line client and Web service for
converting HTML to plain text. Its development has been triggered by the need
to obtain accurate text representations for knowledge extraction tasks that
preserve the spatial alignment of text without drawing upon heavyweight,
browser-based soluti... | [
{
"created": "Mon, 12 Jul 2021 12:40:43 GMT",
"version": "v1"
},
{
"created": "Fri, 22 Oct 2021 07:04:02 GMT",
"version": "v2"
}
] | 2021-10-25 | [
[
"Weichselbraun",
"Albert",
""
]
] | Inscriptis provides a library, command line client and Web service for converting HTML to plain text. Its development has been triggered by the need to obtain accurate text representations for knowledge extraction tasks that preserve the spatial alignment of text without drawing upon heavyweight, browser-based solution... |
2112.04019 | Hongwei Zhu | Hongwei Zhu, Minjia Shi | The b-symbol weight hierarchy of the Kasami codes | null | null | null | null | cs.IT math.GR math.IT | http://creativecommons.org/publicdomain/zero/1.0/ | The symbol-pair read channel was first proposed by Cassuto and Blaum. Later,
Yaakobi et al. generalized it to the $b$-symbol read channel. It is motivated
by the limitations of the reading process in high density data storage systems.
One main task in $b$-symbol coding theory is to determine the $b$-symbol weight
hie... | [
{
"created": "Tue, 7 Dec 2021 22:19:05 GMT",
"version": "v1"
}
] | 2021-12-09 | [
[
"Zhu",
"Hongwei",
""
],
[
"Shi",
"Minjia",
""
]
] | The symbol-pair read channel was first proposed by Cassuto and Blaum. Later, Yaakobi et al. generalized it to the $b$-symbol read channel. It is motivated by the limitations of the reading process in high density data storage systems. One main task in $b$-symbol coding theory is to determine the $b$-symbol weight hiera... |
1009.1407 | Grenville Croll | Sebastian Dewhurst | Transforming Critical Spreadsheets into Web Applications at Zurich
Financial | 10 pages, 6 colour figures; ISBN 978-1-905404-50-6 | Proc. European Spreadsheet Risks Int. Grp. (EuSpRIG) 2010 23-32 | null | null | cs.SE cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the insurance industry, spreadsheets have emerged as an invaluable tool to
for product pricing, because it is relatively straightforward to create and
maintain complex pricing models using Excel. In fact, Excel is often preferred
to "hard-code" whenever there are frequent changes to the calculations and
business l... | [
{
"created": "Tue, 7 Sep 2010 21:15:47 GMT",
"version": "v1"
}
] | 2010-09-09 | [
[
"Dewhurst",
"Sebastian",
""
]
] | In the insurance industry, spreadsheets have emerged as an invaluable tool to for product pricing, because it is relatively straightforward to create and maintain complex pricing models using Excel. In fact, Excel is often preferred to "hard-code" whenever there are frequent changes to the calculations and business log... |
2310.18912 | Hao Zhang | Hao Zhang, Yang Liu, Xiaoyan Liu, Tianming Liang, Gaurav Sharma, Liang
Xue, and Maozu Guo | Sentence Bag Graph Formulation for Biomedical Distant Supervision
Relation Extraction | in IEEE Transactions on Knowledge and Data Engineering, 2024 | null | 10.1109/TKDE.2024.3377229 | null | cs.LG cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a novel graph-based framework for alleviating key challenges in
distantly-supervised relation extraction and demonstrate its effectiveness in
the challenging and important domain of biomedical data. Specifically, we
propose a graph view of sentence bags referring to an entity pair, which
enables message-... | [
{
"created": "Sun, 29 Oct 2023 05:48:04 GMT",
"version": "v1"
}
] | 2024-04-08 | [
[
"Zhang",
"Hao",
""
],
[
"Liu",
"Yang",
""
],
[
"Liu",
"Xiaoyan",
""
],
[
"Liang",
"Tianming",
""
],
[
"Sharma",
"Gaurav",
""
],
[
"Xue",
"Liang",
""
],
[
"Guo",
"Maozu",
""
]
] | We introduce a novel graph-based framework for alleviating key challenges in distantly-supervised relation extraction and demonstrate its effectiveness in the challenging and important domain of biomedical data. Specifically, we propose a graph view of sentence bags referring to an entity pair, which enables message-pa... |
2405.19773 | Jasper Uijlings | Tautvydas Misiunas and Hassan Mansoor and Jasper Uijlings and Oriana
Riva and Victor Carbune | VQA Training Sets are Self-play Environments for Generating Few-shot
Pools | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Large-language models and large-vision models are increasingly capable of
solving compositional reasoning tasks, as measured by breakthroughs in
visual-question answering benchmarks. However, state-of-the-art solutions often
involve careful construction of large pre-training and fine-tuning datasets,
which can be exp... | [
{
"created": "Thu, 30 May 2024 07:38:58 GMT",
"version": "v1"
}
] | 2024-05-31 | [
[
"Misiunas",
"Tautvydas",
""
],
[
"Mansoor",
"Hassan",
""
],
[
"Uijlings",
"Jasper",
""
],
[
"Riva",
"Oriana",
""
],
[
"Carbune",
"Victor",
""
]
] | Large-language models and large-vision models are increasingly capable of solving compositional reasoning tasks, as measured by breakthroughs in visual-question answering benchmarks. However, state-of-the-art solutions often involve careful construction of large pre-training and fine-tuning datasets, which can be expen... |
cs/0511012 | Hamilton Link | Hamilton Link and Randall A. LaViolette and Jared Saia and Terran Lane | Parameters Affecting the Resilience of Scale-Free Networks to Random
Failures | 12 pages, 7 figures. Submitting to Phys. Rev. Lett | null | null | null | cs.NI cs.AR cs.MA | null | It is commonly believed that scale-free networks are robust to massive
numbers of random node deletions. For example, Cohen et al. study scale-free
networks including some which approximate the measured degree distribution of
the Internet. Their results suggest that if each node in this network failed
independently w... | [
{
"created": "Wed, 2 Nov 2005 22:22:14 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Link",
"Hamilton",
""
],
[
"LaViolette",
"Randall A.",
""
],
[
"Saia",
"Jared",
""
],
[
"Lane",
"Terran",
""
]
] | It is commonly believed that scale-free networks are robust to massive numbers of random node deletions. For example, Cohen et al. study scale-free networks including some which approximate the measured degree distribution of the Internet. Their results suggest that if each node in this network failed independently wit... |
2406.10738 | Yao Zhao | Yao Zhao, Kwang-Sung Jun, Tanner Fiez, Lalit Jain | Adaptive Experimentation When You Can't Experiment | null | null | null | null | cs.LG stat.ME | http://creativecommons.org/licenses/by/4.0/ | This paper introduces the \emph{confounded pure exploration transductive
linear bandit} (\texttt{CPET-LB}) problem. As a motivating example, often
online services cannot directly assign users to specific control or treatment
experiences either for business or practical reasons. In these settings,
naively comparing tr... | [
{
"created": "Sat, 15 Jun 2024 20:54:48 GMT",
"version": "v1"
}
] | 2024-06-18 | [
[
"Zhao",
"Yao",
""
],
[
"Jun",
"Kwang-Sung",
""
],
[
"Fiez",
"Tanner",
""
],
[
"Jain",
"Lalit",
""
]
] | This paper introduces the \emph{confounded pure exploration transductive linear bandit} (\texttt{CPET-LB}) problem. As a motivating example, often online services cannot directly assign users to specific control or treatment experiences either for business or practical reasons. In these settings, naively comparing trea... |
1611.03898 | Thai Pham | Derek Farren and Thai Pham and Marco Alban-Hidalgo | Low Latency Anomaly Detection and Bayesian Network Prediction of Anomaly
Likelihood | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We develop a supervised machine learning model that detects anomalies in
systems in real time. Our model processes unbounded streams of data into time
series which then form the basis of a low-latency anomaly detection model.
Moreover, we extend our preliminary goal of just anomaly detection to
simultaneous anomaly p... | [
{
"created": "Fri, 11 Nov 2016 22:20:41 GMT",
"version": "v1"
}
] | 2016-11-16 | [
[
"Farren",
"Derek",
""
],
[
"Pham",
"Thai",
""
],
[
"Alban-Hidalgo",
"Marco",
""
]
] | We develop a supervised machine learning model that detects anomalies in systems in real time. Our model processes unbounded streams of data into time series which then form the basis of a low-latency anomaly detection model. Moreover, we extend our preliminary goal of just anomaly detection to simultaneous anomaly pre... |
2211.16958 | Prerak Srivastava | Prerak Srivastava, Antoine Deleforge, Archontis Politis, Emmanuel
Vincent | How to (virtually) train your speaker localizer | Published in INTERSPEECH 2023 | null | null | null | cs.SD eess.AS | http://creativecommons.org/licenses/by/4.0/ | Learning-based methods have become ubiquitous in speaker localization.
Existing systems rely on simulated training sets for the lack of sufficiently
large, diverse and annotated real datasets. Most room acoustics simulators used
for this purpose rely on the image source method (ISM) because of its
computational effic... | [
{
"created": "Wed, 30 Nov 2022 13:01:11 GMT",
"version": "v1"
},
{
"created": "Thu, 25 May 2023 14:51:43 GMT",
"version": "v2"
}
] | 2023-05-26 | [
[
"Srivastava",
"Prerak",
""
],
[
"Deleforge",
"Antoine",
""
],
[
"Politis",
"Archontis",
""
],
[
"Vincent",
"Emmanuel",
""
]
] | Learning-based methods have become ubiquitous in speaker localization. Existing systems rely on simulated training sets for the lack of sufficiently large, diverse and annotated real datasets. Most room acoustics simulators used for this purpose rely on the image source method (ISM) because of its computational efficie... |
1808.04337 | Samir Chowdhury | Samir Chowdhury and Facundo M\'emoli | The Gromov-Wasserstein distance between networks and stable network
invariants | To appear in Information and Inference. Current version is a
substantial update from the previous version and includes new computational
experiments and also new results on the Gromov-Prokhorov distance between
spheres | null | null | null | cs.DM math.MG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We define a metric---the network Gromov-Wasserstein distance---on weighted,
directed networks that is sensitive to the presence of outliers. In addition to
proving its theoretical properties, we supply network invariants based on
optimal transport that approximate this distance by means of lower bounds. We
test these... | [
{
"created": "Mon, 13 Aug 2018 17:24:45 GMT",
"version": "v1"
},
{
"created": "Wed, 4 Sep 2019 14:46:48 GMT",
"version": "v2"
}
] | 2019-09-05 | [
[
"Chowdhury",
"Samir",
""
],
[
"Mémoli",
"Facundo",
""
]
] | We define a metric---the network Gromov-Wasserstein distance---on weighted, directed networks that is sensitive to the presence of outliers. In addition to proving its theoretical properties, we supply network invariants based on optimal transport that approximate this distance by means of lower bounds. We test these m... |
2301.10827 | Matthew Alan Le Brun | Matthew Alan Le Brun and Ornela Dardha | MAG$\pi$: Types for Failure-Prone Communication | To be published in ESOP'23 | null | null | null | cs.PL | http://creativecommons.org/licenses/by/4.0/ | Multiparty Session Types (MPST) are a typing discipline for
communication-centric systems, guaranteeing communication safety, deadlock
freedom and protocol compliance. Several works have emerged which model
failures and introduce fault-tolerance techniques. However, such works often
make assumptions on the underlying... | [
{
"created": "Wed, 25 Jan 2023 21:04:02 GMT",
"version": "v1"
}
] | 2023-01-27 | [
[
"Brun",
"Matthew Alan Le",
""
],
[
"Dardha",
"Ornela",
""
]
] | Multiparty Session Types (MPST) are a typing discipline for communication-centric systems, guaranteeing communication safety, deadlock freedom and protocol compliance. Several works have emerged which model failures and introduce fault-tolerance techniques. However, such works often make assumptions on the underlying n... |
2110.09570 | Arijit Nag | Arijit Nag, Bidisha Samanta, Animesh Mukherjee, Niloy Ganguly, Soumen
Chakrabarti | A Data Bootstrapping Recipe for Low Resource Multilingual Relation
Classification | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Relation classification (sometimes called 'extraction') requires trustworthy
datasets for fine-tuning large language models, as well as for evaluation. Data
collection is challenging for Indian languages, because they are syntactically
and morphologically diverse, as well as different from resource-rich languages
lik... | [
{
"created": "Mon, 18 Oct 2021 18:40:46 GMT",
"version": "v1"
}
] | 2021-10-20 | [
[
"Nag",
"Arijit",
""
],
[
"Samanta",
"Bidisha",
""
],
[
"Mukherjee",
"Animesh",
""
],
[
"Ganguly",
"Niloy",
""
],
[
"Chakrabarti",
"Soumen",
""
]
] | Relation classification (sometimes called 'extraction') requires trustworthy datasets for fine-tuning large language models, as well as for evaluation. Data collection is challenging for Indian languages, because they are syntactically and morphologically diverse, as well as different from resource-rich languages like ... |
1805.12081 | Md. Mostafa Kamal Sarker | Md. Mostafa Kamal Sarker, Mohammed Jabreel, Hatem A. Rashwan, Syeda
Furruka Banu, Antonio Moreno, Petia Radeva, Domenec Puig | CuisineNet: Food Attributes Classification using Multi-scale Convolution
Network | 8 pages, Submitted in CCIA 2018 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Diversity of food and its attributes represents the culinary habits of
peoples from different countries. Thus, this paper addresses the problem of
identifying food culture of people around the world and its flavor by
classifying two main food attributes, cuisine and flavor. A deep learning model
based on multi-scale ... | [
{
"created": "Wed, 30 May 2018 16:56:32 GMT",
"version": "v1"
},
{
"created": "Fri, 8 Jun 2018 16:44:15 GMT",
"version": "v2"
}
] | 2018-06-11 | [
[
"Sarker",
"Md. Mostafa Kamal",
""
],
[
"Jabreel",
"Mohammed",
""
],
[
"Rashwan",
"Hatem A.",
""
],
[
"Banu",
"Syeda Furruka",
""
],
[
"Moreno",
"Antonio",
""
],
[
"Radeva",
"Petia",
""
],
[
"Puig",
"Domenec",
... | Diversity of food and its attributes represents the culinary habits of peoples from different countries. Thus, this paper addresses the problem of identifying food culture of people around the world and its flavor by classifying two main food attributes, cuisine and flavor. A deep learning model based on multi-scale co... |
1705.04269 | Xingqin Lin | Xingqin Lin, Johan Bergman, Fredrik Gunnarsson, Olof Liberg, Sara
Modarres Razavi, Hazhir Shokri Razaghi, Henrik Ryd\'en, and Yutao Sui | Positioning for the Internet of Things: A 3GPP Perspective | 8 pages; 7 figures; 1 table; submitted for publication | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many use cases in the Internet of Things (IoT) will require or benefit from
location information, making positioning a vital dimension of the IoT. The 3rd
Generation Partnership Project (3GPP) has dedicated a significant effort during
its Release 14 to enhance positioning support for its IoT technologies to
further i... | [
{
"created": "Thu, 13 Apr 2017 00:37:56 GMT",
"version": "v1"
},
{
"created": "Fri, 16 Jun 2017 16:03:38 GMT",
"version": "v2"
}
] | 2017-06-19 | [
[
"Lin",
"Xingqin",
""
],
[
"Bergman",
"Johan",
""
],
[
"Gunnarsson",
"Fredrik",
""
],
[
"Liberg",
"Olof",
""
],
[
"Razavi",
"Sara Modarres",
""
],
[
"Razaghi",
"Hazhir Shokri",
""
],
[
"Rydén",
"Henrik",
""
... | Many use cases in the Internet of Things (IoT) will require or benefit from location information, making positioning a vital dimension of the IoT. The 3rd Generation Partnership Project (3GPP) has dedicated a significant effort during its Release 14 to enhance positioning support for its IoT technologies to further imp... |
1903.12271 | Mahmoud El-Haj | Mahmoud El-Haj, Paul Rayson, Martin Walker, Steven Young, Vasiliki
Simaki | In Search of Meaning: Lessons, Resources and Next Steps for
Computational Analysis of Financial Discourse | 70 page, 18 pages of references, Journal Article | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We critically assess mainstream accounting and finance research applying
methods from computational linguistics (CL) to study financial discourse. We
also review common themes and innovations in the literature and assess the
incremental contributions of work applying CL methods over manual content
analysis. Key concl... | [
{
"created": "Thu, 28 Mar 2019 21:12:59 GMT",
"version": "v1"
}
] | 2019-04-01 | [
[
"El-Haj",
"Mahmoud",
""
],
[
"Rayson",
"Paul",
""
],
[
"Walker",
"Martin",
""
],
[
"Young",
"Steven",
""
],
[
"Simaki",
"Vasiliki",
""
]
] | We critically assess mainstream accounting and finance research applying methods from computational linguistics (CL) to study financial discourse. We also review common themes and innovations in the literature and assess the incremental contributions of work applying CL methods over manual content analysis. Key conclus... |
1510.08301 | Wonju Lee | Wonju Lee, Osvaldo Simeone, Joonhyuk Kang and Shlomo Shamai | Multivariate Fronthaul Quantization for Downlink C-RAN | Submitted | null | 10.1109/TSP.2016.2593682 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Cloud-Radio Access Network (C-RAN) cellular architecture relies on the
transfer of complex baseband signals to and from a central unit (CU) over
digital fronthaul links to enable the virtualization of the baseband processing
functionalities of distributed radio units (RUs). The standard design of
digital fronthau... | [
{
"created": "Wed, 28 Oct 2015 13:27:36 GMT",
"version": "v1"
},
{
"created": "Mon, 11 Jul 2016 01:31:28 GMT",
"version": "v2"
}
] | 2016-08-24 | [
[
"Lee",
"Wonju",
""
],
[
"Simeone",
"Osvaldo",
""
],
[
"Kang",
"Joonhyuk",
""
],
[
"Shamai",
"Shlomo",
""
]
] | The Cloud-Radio Access Network (C-RAN) cellular architecture relies on the transfer of complex baseband signals to and from a central unit (CU) over digital fronthaul links to enable the virtualization of the baseband processing functionalities of distributed radio units (RUs). The standard design of digital fronthauli... |
1201.0081 | Yuan Liu Yuan Liu | Hao Zhang, Yuan Liu, and Meixia Tao | Resource Allocation with Subcarrier Pairing in OFDMA Two-Way Relay
Networks | null | null | null | null | cs.IT math.IT | http://creativecommons.org/licenses/by/3.0/ | This study considers an orthogonal frequency-division multiple-access
(OFDMA)-based multi-user two-way relay network where multiple mobile stations
(MSs) communicate with a common base station (BS) via multiple relay stations
(RSs). We study the joint optimization problem of subcarrier-pairing based
relay-power alloc... | [
{
"created": "Fri, 30 Dec 2011 08:49:17 GMT",
"version": "v1"
}
] | 2012-01-04 | [
[
"Zhang",
"Hao",
""
],
[
"Liu",
"Yuan",
""
],
[
"Tao",
"Meixia",
""
]
] | This study considers an orthogonal frequency-division multiple-access (OFDMA)-based multi-user two-way relay network where multiple mobile stations (MSs) communicate with a common base station (BS) via multiple relay stations (RSs). We study the joint optimization problem of subcarrier-pairing based relay-power allocat... |
2110.11404 | Edgar Du\'e\~nez-Guzm\'an | Edgar A. Du\'e\~nez-Guzm\'an, Kevin R. McKee, Yiran Mao, Ben Coppin,
Silvia Chiappa, Alexander Sasha Vezhnevets, Michiel A. Bakker, Yoram
Bachrach, Suzanne Sadedin, William Isaac, Karl Tuyls, Joel Z. Leibo | Statistical discrimination in learning agents | 29 pages, 10 figures | null | null | null | cs.LG cs.AI cs.GT cs.MA | http://creativecommons.org/licenses/by/4.0/ | Undesired bias afflicts both human and algorithmic decision making, and may
be especially prevalent when information processing trade-offs incentivize the
use of heuristics. One primary example is \textit{statistical discrimination}
-- selecting social partners based not on their underlying attributes, but on
readily... | [
{
"created": "Thu, 21 Oct 2021 18:28:57 GMT",
"version": "v1"
}
] | 2021-10-25 | [
[
"Duéñez-Guzmán",
"Edgar A.",
""
],
[
"McKee",
"Kevin R.",
""
],
[
"Mao",
"Yiran",
""
],
[
"Coppin",
"Ben",
""
],
[
"Chiappa",
"Silvia",
""
],
[
"Vezhnevets",
"Alexander Sasha",
""
],
[
"Bakker",
"Michiel A.",
... | Undesired bias afflicts both human and algorithmic decision making, and may be especially prevalent when information processing trade-offs incentivize the use of heuristics. One primary example is \textit{statistical discrimination} -- selecting social partners based not on their underlying attributes, but on readily p... |
2009.09719 | arXiv Admin | Sagar Verma | A Survey on Machine Learning Applied to Dynamic Physical Systems | arXiv admin note: submission has been withdrawn by arXiv
administrators due to inappropriate text overlap with external source | null | null | null | cs.LG cs.NE | http://creativecommons.org/licenses/by/4.0/ | This survey is on recent advancements in the intersection of physical
modeling and machine learning. We focus on the modeling of nonlinear systems
which are closer to electric motors. Survey on motor control and fault
detection in operation of electric motors has been done.
| [
{
"created": "Mon, 21 Sep 2020 09:41:54 GMT",
"version": "v1"
},
{
"created": "Mon, 28 Sep 2020 13:27:14 GMT",
"version": "v2"
}
] | 2020-09-29 | [
[
"Verma",
"Sagar",
""
]
] | This survey is on recent advancements in the intersection of physical modeling and machine learning. We focus on the modeling of nonlinear systems which are closer to electric motors. Survey on motor control and fault detection in operation of electric motors has been done. |
1903.04959 | Haotian Fu | Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen,
Changjie Fan | Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid
Action Spaces | null | IJCAI 2019 | null | null | cs.LG cs.AI cs.MA stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep Reinforcement Learning (DRL) has been applied to address a variety of
cooperative multi-agent problems with either discrete action spaces or
continuous action spaces. However, to the best of our knowledge, no previous
work has ever succeeded in applying DRL to multi-agent problems with
discrete-continuous hybrid... | [
{
"created": "Tue, 12 Mar 2019 14:40:32 GMT",
"version": "v1"
}
] | 2019-06-04 | [
[
"Fu",
"Haotian",
""
],
[
"Tang",
"Hongyao",
""
],
[
"Hao",
"Jianye",
""
],
[
"Lei",
"Zihan",
""
],
[
"Chen",
"Yingfeng",
""
],
[
"Fan",
"Changjie",
""
]
] | Deep Reinforcement Learning (DRL) has been applied to address a variety of cooperative multi-agent problems with either discrete action spaces or continuous action spaces. However, to the best of our knowledge, no previous work has ever succeeded in applying DRL to multi-agent problems with discrete-continuous hybrid (... |
2003.00145 | Nupur Patanker | Nupur Patanker, Sanjay Kumar Singh | Generalization of trace codes to places of higher degree | Due to error in Section 6 on the dimension of codes | null | null | null | cs.IT math.AG math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this note, we give a construction of codes on algebraic function field $F/
\mathbb{F}_{q}$ using places of $F$ (not necessarily of degree one) and trace
functions from various extensions of $\mathbb{F}_{q}$. This is a generalization
of trace code of geometric Goppa codes to higher degree places. We compute a
bound... | [
{
"created": "Sat, 29 Feb 2020 01:19:05 GMT",
"version": "v1"
},
{
"created": "Fri, 2 Oct 2020 16:05:02 GMT",
"version": "v2"
},
{
"created": "Wed, 14 Apr 2021 03:05:04 GMT",
"version": "v3"
}
] | 2021-04-15 | [
[
"Patanker",
"Nupur",
""
],
[
"Singh",
"Sanjay Kumar",
""
]
] | In this note, we give a construction of codes on algebraic function field $F/ \mathbb{F}_{q}$ using places of $F$ (not necessarily of degree one) and trace functions from various extensions of $\mathbb{F}_{q}$. This is a generalization of trace code of geometric Goppa codes to higher degree places. We compute a bound o... |
2305.10621 | Yulin Sun | Yulin Sun, Qingming Qu, Chenxingyu Zhao, Arvind Krishnamurthy, Hong
Chang, Ying Xiong | TSoR: TCP Socket over RDMA Container Network for Cloud Native Computing | null | null | null | null | cs.NI cs.DC | http://creativecommons.org/licenses/by/4.0/ | Cloud-native containerized applications constantly seek high-performance and
easy-to-operate container network solutions. RDMA network is a potential
enabler with higher throughput and lower latency than the standard TCP/IP
network stack. However, several challenges remain in equipping containerized
applications with... | [
{
"created": "Thu, 18 May 2023 00:20:56 GMT",
"version": "v1"
}
] | 2023-05-19 | [
[
"Sun",
"Yulin",
""
],
[
"Qu",
"Qingming",
""
],
[
"Zhao",
"Chenxingyu",
""
],
[
"Krishnamurthy",
"Arvind",
""
],
[
"Chang",
"Hong",
""
],
[
"Xiong",
"Ying",
""
]
] | Cloud-native containerized applications constantly seek high-performance and easy-to-operate container network solutions. RDMA network is a potential enabler with higher throughput and lower latency than the standard TCP/IP network stack. However, several challenges remain in equipping containerized applications with R... |
2407.02442 | Hao Xu | Hao Xu, Kai-Kit Wong, Giuseppe Caire | A New Achievable Region of the $K$-User MAC Wiretap Channel with
Confidential and Open Messages Under Strong Secrecy | 61 pages, 15 figures. arXiv admin note: text overlap with
arXiv:2209.05403 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper investigates the achievable region of a $K$-user discrete
memoryless (DM) multiple access wiretap (MAC-WT) channel, where each user
transmits both secret and open messages. All these messages are intended for
Bob, while Eve is only interested in the secret messages. In the achievable
coding strategy, the c... | [
{
"created": "Tue, 2 Jul 2024 17:17:53 GMT",
"version": "v1"
}
] | 2024-07-03 | [
[
"Xu",
"Hao",
""
],
[
"Wong",
"Kai-Kit",
""
],
[
"Caire",
"Giuseppe",
""
]
] | This paper investigates the achievable region of a $K$-user discrete memoryless (DM) multiple access wiretap (MAC-WT) channel, where each user transmits both secret and open messages. All these messages are intended for Bob, while Eve is only interested in the secret messages. In the achievable coding strategy, the con... |
2303.02673 | Jiguo Li | Jiguo Li, Tianzi Zhang, Xiaobin Liu, Lirong Zheng | Time-frequency Network for Robust Speaker Recognition | 5pages, 3 figures | null | null | null | cs.SD cs.MM eess.AS | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The wide deployment of speech-based biometric systems usually demands
high-performance speaker recognition algorithms. However, most of the prior
works for speaker recognition either process the speech in the frequency domain
or time domain, which may produce suboptimal results because both time and
frequency domains... | [
{
"created": "Sun, 5 Mar 2023 13:48:47 GMT",
"version": "v1"
},
{
"created": "Tue, 7 Mar 2023 02:38:16 GMT",
"version": "v2"
}
] | 2023-03-08 | [
[
"Li",
"Jiguo",
""
],
[
"Zhang",
"Tianzi",
""
],
[
"Liu",
"Xiaobin",
""
],
[
"Zheng",
"Lirong",
""
]
] | The wide deployment of speech-based biometric systems usually demands high-performance speaker recognition algorithms. However, most of the prior works for speaker recognition either process the speech in the frequency domain or time domain, which may produce suboptimal results because both time and frequency domains a... |
2104.04909 | Saed Rezayi | Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka,
Sheng Li | Edge: Enriching Knowledge Graph Embeddings with External Text | Accepted in NAACL'21 | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Knowledge graphs suffer from sparsity which degrades the quality of
representations generated by various methods. While there is an abundance of
textual information throughout the web and many existing knowledge bases,
aligning information across these diverse data sources remains a challenge in
the literature. Previ... | [
{
"created": "Sun, 11 Apr 2021 03:47:06 GMT",
"version": "v1"
}
] | 2021-04-13 | [
[
"Rezayi",
"Saed",
""
],
[
"Zhao",
"Handong",
""
],
[
"Kim",
"Sungchul",
""
],
[
"Rossi",
"Ryan A.",
""
],
[
"Lipka",
"Nedim",
""
],
[
"Li",
"Sheng",
""
]
] | Knowledge graphs suffer from sparsity which degrades the quality of representations generated by various methods. While there is an abundance of textual information throughout the web and many existing knowledge bases, aligning information across these diverse data sources remains a challenge in the literature. Previou... |
2009.14361 | Angus Addlesee | Angus Addlesee and Pierre Albert | Ethically Collecting Multi-Modal Spontaneous Conversations with People
that have Cognitive Impairments | Published at LREC's Workshop on Legal and Ethical Issues in Human
Language Technologies 2020 | LREC Workshop on Legal and Ethical Issues in Human Language
Technologies (2020) 15-20 | null | null | cs.CL cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In order to make spoken dialogue systems (such as Amazon Alexa or Google
Assistant) more accessible and naturally interactive for people with cognitive
impairments, appropriate data must be obtainable. Recordings of multi-modal
spontaneous conversations with vulnerable user groups are scarce however and
this valuable... | [
{
"created": "Wed, 30 Sep 2020 00:57:33 GMT",
"version": "v1"
}
] | 2020-10-01 | [
[
"Addlesee",
"Angus",
""
],
[
"Albert",
"Pierre",
""
]
] | In order to make spoken dialogue systems (such as Amazon Alexa or Google Assistant) more accessible and naturally interactive for people with cognitive impairments, appropriate data must be obtainable. Recordings of multi-modal spontaneous conversations with vulnerable user groups are scarce however and this valuable d... |
2306.01953 | Xuandong Zhao | Xuandong Zhao, Kexun Zhang, Zihao Su, Saastha Vasan, Ilya Grishchenko,
Christopher Kruegel, Giovanni Vigna, Yu-Xiang Wang, Lei Li | Invisible Image Watermarks Are Provably Removable Using Generative AI | null | null | null | null | cs.CR cs.AI cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Invisible watermarks safeguard images' copyright by embedding hidden messages
only detectable by owners. They also prevent people from misusing images,
especially those generated by AI models. We propose a family of regeneration
attacks to remove these invisible watermarks. The proposed attack method first
adds rando... | [
{
"created": "Fri, 2 Jun 2023 23:29:28 GMT",
"version": "v1"
},
{
"created": "Sun, 6 Aug 2023 17:17:04 GMT",
"version": "v2"
}
] | 2023-08-08 | [
[
"Zhao",
"Xuandong",
""
],
[
"Zhang",
"Kexun",
""
],
[
"Su",
"Zihao",
""
],
[
"Vasan",
"Saastha",
""
],
[
"Grishchenko",
"Ilya",
""
],
[
"Kruegel",
"Christopher",
""
],
[
"Vigna",
"Giovanni",
""
],
[
... | Invisible watermarks safeguard images' copyright by embedding hidden messages only detectable by owners. They also prevent people from misusing images, especially those generated by AI models. We propose a family of regeneration attacks to remove these invisible watermarks. The proposed attack method first adds random ... |
2104.08894 | Ahmed Abdelkader | Phillip Pope, Chen Zhu, Ahmed Abdelkader, Micah Goldblum, Tom
Goldstein | The Intrinsic Dimension of Images and Its Impact on Learning | To appear at ICLR 2021 (spotlight), 17 pages with appendix, 15
figures | null | null | null | cs.CV cs.LG stat.ML | http://creativecommons.org/licenses/by-sa/4.0/ | It is widely believed that natural image data exhibits low-dimensional
structure despite the high dimensionality of conventional pixel
representations. This idea underlies a common intuition for the remarkable
success of deep learning in computer vision. In this work, we apply dimension
estimation tools to popular da... | [
{
"created": "Sun, 18 Apr 2021 16:29:23 GMT",
"version": "v1"
}
] | 2021-04-20 | [
[
"Pope",
"Phillip",
""
],
[
"Zhu",
"Chen",
""
],
[
"Abdelkader",
"Ahmed",
""
],
[
"Goldblum",
"Micah",
""
],
[
"Goldstein",
"Tom",
""
]
] | It is widely believed that natural image data exhibits low-dimensional structure despite the high dimensionality of conventional pixel representations. This idea underlies a common intuition for the remarkable success of deep learning in computer vision. In this work, we apply dimension estimation tools to popular data... |
1603.06679 | Wenya Wang | Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier and Xiaokui Xiao | Recursive Neural Conditional Random Fields for Aspect-based Sentiment
Analysis | null | null | null | null | cs.CL cs.IR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In aspect-based sentiment analysis, extracting aspect terms along with the
opinions being expressed from user-generated content is one of the most
important subtasks. Previous studies have shown that exploiting connections
between aspect and opinion terms is promising for this task. In this paper, we
propose a novel ... | [
{
"created": "Tue, 22 Mar 2016 05:59:00 GMT",
"version": "v1"
},
{
"created": "Wed, 8 Jun 2016 06:24:06 GMT",
"version": "v2"
},
{
"created": "Mon, 19 Sep 2016 14:00:43 GMT",
"version": "v3"
}
] | 2016-09-20 | [
[
"Wang",
"Wenya",
""
],
[
"Pan",
"Sinno Jialin",
""
],
[
"Dahlmeier",
"Daniel",
""
],
[
"Xiao",
"Xiaokui",
""
]
] | In aspect-based sentiment analysis, extracting aspect terms along with the opinions being expressed from user-generated content is one of the most important subtasks. Previous studies have shown that exploiting connections between aspect and opinion terms is promising for this task. In this paper, we propose a novel jo... |
2105.10440 | Prajwol Kumar Nakarmi | John Preu{\ss} Mattsson, Prajwol Kumar Nakarmi | Nori: Concealing the Concealed Identifier in 5G | 9 pages, 8 figures, 1 table | 2021 | 10.1145/3465481 | ARES '21: Proceedings of the 16th International Conference on
Availability, Reliability and Security | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | IMSI catchers have been a long standing and serious privacy problem in pre-5G
mobile networks. To tackle this, 3GPP introduced the Subscription Concealed
Identifier (SUCI) and other countermeasures in 5G. In this paper, we analyze
the new SUCI mechanism and discover that it provides very poor anonymity when
used with... | [
{
"created": "Fri, 21 May 2021 16:20:16 GMT",
"version": "v1"
},
{
"created": "Mon, 14 Jun 2021 16:00:17 GMT",
"version": "v2"
}
] | 2023-09-12 | [
[
"Mattsson",
"John Preuß",
""
],
[
"Nakarmi",
"Prajwol Kumar",
""
]
] | IMSI catchers have been a long standing and serious privacy problem in pre-5G mobile networks. To tackle this, 3GPP introduced the Subscription Concealed Identifier (SUCI) and other countermeasures in 5G. In this paper, we analyze the new SUCI mechanism and discover that it provides very poor anonymity when used with t... |
1905.13340 | Hsin-Po Wang | Hsin-Po Wang and Iwan Duursma | Log-logarithmic Time Pruned Polar Coding | 13 pages, 13 figures; we extend arXiv:1812.08106 and remove "BEC"
from title | null | 10.1109/TIT.2020.3041523 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A pruned variant of polar coding is proposed for binary erasure channels. For
sufficiently small $\varepsilon>0$, we construct a series of capacity achieving
codes with block length $N=\varepsilon^{-5}$, code rate
$R=\text{Capacity}-\varepsilon$, error probability $P=\varepsilon$, and
encoding and decoding time compl... | [
{
"created": "Thu, 30 May 2019 22:37:41 GMT",
"version": "v1"
}
] | 2020-12-14 | [
[
"Wang",
"Hsin-Po",
""
],
[
"Duursma",
"Iwan",
""
]
] | A pruned variant of polar coding is proposed for binary erasure channels. For sufficiently small $\varepsilon>0$, we construct a series of capacity achieving codes with block length $N=\varepsilon^{-5}$, code rate $R=\text{Capacity}-\varepsilon$, error probability $P=\varepsilon$, and encoding and decoding time complex... |
2406.01080 | Zhibo Xing | Zhibo Xing, Zijian Zhang, Zi'ang Zhang, Jiamou Liu, Liehuang Zhu,
Giovanni Russello | No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning | null | null | null | null | cs.CR cs.DC cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Federated learning allows several clients to train one machine learning model
jointly without sharing private data, providing privacy protection. However,
traditional federated learning is vulnerable to poisoning attacks, which can
not only decrease the model performance, but also implant malicious backdoors.
In addi... | [
{
"created": "Mon, 3 Jun 2024 07:59:10 GMT",
"version": "v1"
}
] | 2024-06-05 | [
[
"Xing",
"Zhibo",
""
],
[
"Zhang",
"Zijian",
""
],
[
"Zhang",
"Zi'ang",
""
],
[
"Liu",
"Jiamou",
""
],
[
"Zhu",
"Liehuang",
""
],
[
"Russello",
"Giovanni",
""
]
] | Federated learning allows several clients to train one machine learning model jointly without sharing private data, providing privacy protection. However, traditional federated learning is vulnerable to poisoning attacks, which can not only decrease the model performance, but also implant malicious backdoors. In additi... |
1604.04586 | Mouhacine Benosman | Mouhacine Benosman, Jeff Borggaard, Boris Kramer | Robust Reduced-Order Model Stabilization for Partial Differential
Equations Based on Lyapunov Theory and Extremum Seeking with Application to
the 3D Boussinesq Equations | arXiv admin note: text overlap with arXiv:1510.01728 | null | null | null | cs.SY math.NA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present some results on stabilization for reduced-order models (ROMs) of
partial differential equations. The stabilization is achieved using Lyapunov
theory to design a new closure model that is robust to parametric
uncertainties. The free parameters in the proposed ROM stabilization method are
optimized using a m... | [
{
"created": "Fri, 15 Apr 2016 18:04:32 GMT",
"version": "v1"
}
] | 2016-04-18 | [
[
"Benosman",
"Mouhacine",
""
],
[
"Borggaard",
"Jeff",
""
],
[
"Kramer",
"Boris",
""
]
] | We present some results on stabilization for reduced-order models (ROMs) of partial differential equations. The stabilization is achieved using Lyapunov theory to design a new closure model that is robust to parametric uncertainties. The free parameters in the proposed ROM stabilization method are optimized using a mod... |
2205.10123 | Stefano Teso | Andrea Bontempelli, Marcelo Rodas Britez, Xiaoyue Li, Haonan Zhao,
Luca Erculiani, Stefano Teso, Andrea Passerini, Fausto Giunchiglia | Lifelong Personal Context Recognition | 8 pages | null | null | null | cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We focus on the development of AIs which live in lifelong symbiosis with a
human. The key prerequisite for this task is that the AI understands - at any
moment in time - the personal situational context that the human is in. We
outline the key challenges that this task brings forth, namely (i) handling the
human-like... | [
{
"created": "Tue, 10 May 2022 13:24:47 GMT",
"version": "v1"
}
] | 2022-05-23 | [
[
"Bontempelli",
"Andrea",
""
],
[
"Britez",
"Marcelo Rodas",
""
],
[
"Li",
"Xiaoyue",
""
],
[
"Zhao",
"Haonan",
""
],
[
"Erculiani",
"Luca",
""
],
[
"Teso",
"Stefano",
""
],
[
"Passerini",
"Andrea",
""
],
... | We focus on the development of AIs which live in lifelong symbiosis with a human. The key prerequisite for this task is that the AI understands - at any moment in time - the personal situational context that the human is in. We outline the key challenges that this task brings forth, namely (i) handling the human-like a... |
2310.01882 | Nick Brown | Nick Brown, Maurice Jamieson, Anton Lydike, Emilien Bauer, Tobias
Grosser | Fortran performance optimisation and auto-parallelisation by leveraging
MLIR-based domain specific abstractions in Flang | Author accepted version of paper in ACM Workshops of The
International Conference on High Performance Computing, Network, Storage, and
Analysis (SC-W 2023) | null | 10.1145/3624062.3624167 | null | cs.DC cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | MLIR has become popular since it was open sourced in 2019. A sub-project of
LLVM, the flexibility provided by MLIR to represent Intermediate
Representations (IR) as dialects at different abstraction levels, to mix these,
and to leverage transformations between dialects provides opportunities for
automated program opt... | [
{
"created": "Tue, 3 Oct 2023 08:36:26 GMT",
"version": "v1"
}
] | 2023-10-04 | [
[
"Brown",
"Nick",
""
],
[
"Jamieson",
"Maurice",
""
],
[
"Lydike",
"Anton",
""
],
[
"Bauer",
"Emilien",
""
],
[
"Grosser",
"Tobias",
""
]
] | MLIR has become popular since it was open sourced in 2019. A sub-project of LLVM, the flexibility provided by MLIR to represent Intermediate Representations (IR) as dialects at different abstraction levels, to mix these, and to leverage transformations between dialects provides opportunities for automated program optim... |
2309.11119 | Minsu Kim | Minsu Kim, Giseop Kim, Kyong Hwan Jin, Sunwook Choi | BroadBEV: Collaborative LiDAR-camera Fusion for Broad-sighted Bird's Eye
View Map Construction | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | A recent sensor fusion in a Bird's Eye View (BEV) space has shown its utility
in various tasks such as 3D detection, map segmentation, etc. However, the
approach struggles with inaccurate camera BEV estimation, and a perception of
distant areas due to the sparsity of LiDAR points. In this paper, we propose a
broad BE... | [
{
"created": "Wed, 20 Sep 2023 07:55:57 GMT",
"version": "v1"
},
{
"created": "Thu, 21 Sep 2023 01:14:02 GMT",
"version": "v2"
},
{
"created": "Mon, 25 Sep 2023 06:46:12 GMT",
"version": "v3"
},
{
"created": "Wed, 8 Nov 2023 11:18:24 GMT",
"version": "v4"
}
] | 2023-11-09 | [
[
"Kim",
"Minsu",
""
],
[
"Kim",
"Giseop",
""
],
[
"Jin",
"Kyong Hwan",
""
],
[
"Choi",
"Sunwook",
""
]
] | A recent sensor fusion in a Bird's Eye View (BEV) space has shown its utility in various tasks such as 3D detection, map segmentation, etc. However, the approach struggles with inaccurate camera BEV estimation, and a perception of distant areas due to the sparsity of LiDAR points. In this paper, we propose a broad BEV ... |
1611.04145 | Zijie Zheng | Zijie Zheng, Lingyang Song, Dusit Niyato, and Zhu Han | Resource Allocation in Wireless Powered Relay Networks: A Bargaining
Game Approach | 14 pages, 7 figures, journal paper | null | null | null | cs.IT cs.GT math.IT | http://creativecommons.org/licenses/by/4.0/ | Simultaneously information and power transfer in mobile relay networks have
recently emerged, where the relay can harvest the radio frequency (RF) energy
and then use this energy for data forwarding and system operation. Most of the
previous works do not consider that the relay may have its own objectives, such
as us... | [
{
"created": "Sun, 13 Nov 2016 15:34:14 GMT",
"version": "v1"
}
] | 2016-11-15 | [
[
"Zheng",
"Zijie",
""
],
[
"Song",
"Lingyang",
""
],
[
"Niyato",
"Dusit",
""
],
[
"Han",
"Zhu",
""
]
] | Simultaneously information and power transfer in mobile relay networks have recently emerged, where the relay can harvest the radio frequency (RF) energy and then use this energy for data forwarding and system operation. Most of the previous works do not consider that the relay may have its own objectives, such as usin... |
2307.13900 | Hyunjong Ok | Hyunjong Ok | FinTree: Financial Dataset Pretrain Transformer Encoder for Relation
Extraction | 4pages, 2 figures, The SIGIR'23 Workshop on Knowledge Discovery from
Unstructured Data in Financial Services | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present FinTree, Financial Dataset Pretrain Transformer Encoder for
Relation Extraction. Utilizing an encoder language model, we further pretrain
FinTree on the financial dataset, adapting the model in financial domain tasks.
FinTree stands out with its novel structure that predicts a masked token
instead of the c... | [
{
"created": "Wed, 26 Jul 2023 01:48:52 GMT",
"version": "v1"
}
] | 2023-07-27 | [
[
"Ok",
"Hyunjong",
""
]
] | We present FinTree, Financial Dataset Pretrain Transformer Encoder for Relation Extraction. Utilizing an encoder language model, we further pretrain FinTree on the financial dataset, adapting the model in financial domain tasks. FinTree stands out with its novel structure that predicts a masked token instead of the con... |
2403.13249 | Zhenyi Wang | Zhenyi Wang, Yan Li, Li Shen, Heng Huang | A Unified and General Framework for Continual Learning | ICLR 2024 | null | null | null | cs.LG cs.AI cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Continual Learning (CL) focuses on learning from dynamic and changing data
distributions while retaining previously acquired knowledge. Various methods
have been developed to address the challenge of catastrophic forgetting,
including regularization-based, Bayesian-based, and memory-replay-based
techniques. However, ... | [
{
"created": "Wed, 20 Mar 2024 02:21:44 GMT",
"version": "v1"
}
] | 2024-03-21 | [
[
"Wang",
"Zhenyi",
""
],
[
"Li",
"Yan",
""
],
[
"Shen",
"Li",
""
],
[
"Huang",
"Heng",
""
]
] | Continual Learning (CL) focuses on learning from dynamic and changing data distributions while retaining previously acquired knowledge. Various methods have been developed to address the challenge of catastrophic forgetting, including regularization-based, Bayesian-based, and memory-replay-based techniques. However, th... |
2012.06354 | Alexander Ziller | Alexander Ziller, Jonathan Passerat-Palmbach, Th\'eo Ryffel, Dmitrii
Usynin, Andrew Trask, Ion\'esio Da Lima Costa Junior, Jason Mancuso, Marcus
Makowski, Daniel Rueckert, Rickmer Braren, Georgios Kaissis | Privacy-preserving medical image analysis | Accepted at the workshop for Medical Imaging meets NeurIPS, 34th
Conference on Neural Information Processing Systems (NeurIPS) December 11,
2020 | null | null | null | cs.CR cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | The utilisation of artificial intelligence in medicine and healthcare has led
to successful clinical applications in several domains. The conflict between
data usage and privacy protection requirements in such systems must be resolved
for optimal results as well as ethical and legal compliance. This calls for
innovat... | [
{
"created": "Thu, 10 Dec 2020 13:56:00 GMT",
"version": "v1"
}
] | 2020-12-14 | [
[
"Ziller",
"Alexander",
""
],
[
"Passerat-Palmbach",
"Jonathan",
""
],
[
"Ryffel",
"Théo",
""
],
[
"Usynin",
"Dmitrii",
""
],
[
"Trask",
"Andrew",
""
],
[
"Junior",
"Ionésio Da Lima Costa",
""
],
[
"Mancuso",
"J... | The utilisation of artificial intelligence in medicine and healthcare has led to successful clinical applications in several domains. The conflict between data usage and privacy protection requirements in such systems must be resolved for optimal results as well as ethical and legal compliance. This calls for innovativ... |
2205.13741 | Ali Seyfi | Ali Seyfi, Jean-Francois Rajotte, Raymond T. Ng | Generating multivariate time series with COmmon Source CoordInated GAN
(COSCI-GAN) | 19 pages, 16 figures | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Generating multivariate time series is a promising approach for sharing
sensitive data in many medical, financial, and IoT applications. A common type
of multivariate time series originates from a single source such as the
biometric measurements from a medical patient. This leads to complex dynamical
patterns between... | [
{
"created": "Fri, 27 May 2022 03:09:55 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Dec 2022 00:19:16 GMT",
"version": "v2"
}
] | 2022-12-16 | [
[
"Seyfi",
"Ali",
""
],
[
"Rajotte",
"Jean-Francois",
""
],
[
"Ng",
"Raymond T.",
""
]
] | Generating multivariate time series is a promising approach for sharing sensitive data in many medical, financial, and IoT applications. A common type of multivariate time series originates from a single source such as the biometric measurements from a medical patient. This leads to complex dynamical patterns between i... |
1401.4802 | J\"urgen M\"unch | Alexis Ocampo, J\"urgen M\"unch | Process Evolution Supported by Rationale: An Empirical Investigation of
Process Changes | 8 pages. The final publication is available at
http://link.springer.com/chapter/10.1007%2F11754305_36 | Software Process Change, volume 3966 of Lecture Notes in Computer
Science, pages 334-341, Springer Berlin Heidelberg, 2006 | 10.1007/11754305_36 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Evolving a software process model without a retrospective and, in
consequence, without an understanding of the process evolution, can lead to
severe problems for the software development organization, e.g., inefficient
performance as a consequence of the arbitrary introduction of changes or
difficulty in demonstratin... | [
{
"created": "Mon, 20 Jan 2014 06:41:59 GMT",
"version": "v1"
}
] | 2014-01-21 | [
[
"Ocampo",
"Alexis",
""
],
[
"Münch",
"Jürgen",
""
]
] | Evolving a software process model without a retrospective and, in consequence, without an understanding of the process evolution, can lead to severe problems for the software development organization, e.g., inefficient performance as a consequence of the arbitrary introduction of changes or difficulty in demonstrating ... |
2102.05802 | Leighton Barnes | Leighton Pate Barnes and Ayfer Ozgur | Fisher Information and Mutual Information Constraints | null | null | null | null | cs.IT math.IT math.ST stat.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the processing of statistical samples $X\sim P_\theta$ by a
channel $p(y|x)$, and characterize how the statistical information from the
samples for estimating the parameter $\theta\in\mathbb{R}^d$ can scale with the
mutual information or capacity of the channel. We show that if the statistical
model has a... | [
{
"created": "Thu, 11 Feb 2021 01:53:09 GMT",
"version": "v1"
},
{
"created": "Thu, 8 Jul 2021 22:28:26 GMT",
"version": "v2"
}
] | 2021-07-12 | [
[
"Barnes",
"Leighton Pate",
""
],
[
"Ozgur",
"Ayfer",
""
]
] | We consider the processing of statistical samples $X\sim P_\theta$ by a channel $p(y|x)$, and characterize how the statistical information from the samples for estimating the parameter $\theta\in\mathbb{R}^d$ can scale with the mutual information or capacity of the channel. We show that if the statistical model has a s... |
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