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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1308.4218 | Liangfeng Zhang liangfeng zhang | Liang Feng Zhang and Rehanehi Safavi-Naini | Private Outsourcing of Polynomial Evaluation and Matrix Multiplication
using Multilinear Maps | 23 pages, A preliminary version appears in the 12th International
Conference on Cryptology and Network Security (CANS 2013) | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | {\em Verifiable computation} (VC) allows a computationally weak client to
outsource the evaluation of a function on many inputs to a powerful but
untrusted server. The client invests a large amount of off-line computation and
gives an encoding of its function to the server. The server returns both an
evaluation of th... | [
{
"created": "Tue, 20 Aug 2013 03:33:48 GMT",
"version": "v1"
},
{
"created": "Thu, 29 Aug 2013 21:40:43 GMT",
"version": "v2"
},
{
"created": "Tue, 3 Sep 2013 03:22:30 GMT",
"version": "v3"
}
] | 2013-09-04 | [
[
"Zhang",
"Liang Feng",
""
],
[
"Safavi-Naini",
"Rehanehi",
""
]
] | {\em Verifiable computation} (VC) allows a computationally weak client to outsource the evaluation of a function on many inputs to a powerful but untrusted server. The client invests a large amount of off-line computation and gives an encoding of its function to the server. The server returns both an evaluation of the ... |
1707.02920 | Rouhollah Rahmatizadeh | Rouhollah Rahmatizadeh, Pooya Abolghasemi, Ladislau B\"ol\"oni, Sergey
Levine | Vision-Based Multi-Task Manipulation for Inexpensive Robots Using
End-To-End Learning from Demonstration | null | null | null | null | cs.LG cs.AI cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a technique for multi-task learning from demonstration that trains
the controller of a low-cost robotic arm to accomplish several complex picking
and placing tasks, as well as non-prehensile manipulation. The controller is a
recurrent neural network using raw images as input and generating robot arm
trajec... | [
{
"created": "Mon, 10 Jul 2017 16:05:53 GMT",
"version": "v1"
},
{
"created": "Sun, 22 Apr 2018 16:19:28 GMT",
"version": "v2"
}
] | 2018-04-24 | [
[
"Rahmatizadeh",
"Rouhollah",
""
],
[
"Abolghasemi",
"Pooya",
""
],
[
"Bölöni",
"Ladislau",
""
],
[
"Levine",
"Sergey",
""
]
] | We propose a technique for multi-task learning from demonstration that trains the controller of a low-cost robotic arm to accomplish several complex picking and placing tasks, as well as non-prehensile manipulation. The controller is a recurrent neural network using raw images as input and generating robot arm trajecto... |
1509.02130 | Arnau Ramisa | Ariadna Quattoni, Arnau Ramisa, Pranava Swaroop Madhyastha, Edgar
Simo-Serra and Francesc Moreno-Noguer | Structured Prediction with Output Embeddings for Semantic Image
Annotation | 11 pages | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We address the task of annotating images with semantic tuples. Solving this
problem requires an algorithm which is able to deal with hundreds of classes
for each argument of the tuple. In such contexts, data sparsity becomes a key
challenge, as there will be a large number of classes for which only a few
examples are... | [
{
"created": "Mon, 7 Sep 2015 17:23:05 GMT",
"version": "v1"
}
] | 2015-09-08 | [
[
"Quattoni",
"Ariadna",
""
],
[
"Ramisa",
"Arnau",
""
],
[
"Madhyastha",
"Pranava Swaroop",
""
],
[
"Simo-Serra",
"Edgar",
""
],
[
"Moreno-Noguer",
"Francesc",
""
]
] | We address the task of annotating images with semantic tuples. Solving this problem requires an algorithm which is able to deal with hundreds of classes for each argument of the tuple. In such contexts, data sparsity becomes a key challenge, as there will be a large number of classes for which only a few examples are a... |
1809.08585 | Haruna Isah | Tiffany Leung, Farhana Zulkernine, Haruna Isah | The use of Virtual Reality in Enhancing Interdisciplinary Research and
Education | 6 Pages | null | null | null | cs.HC cs.AI | http://creativecommons.org/publicdomain/zero/1.0/ | Virtual Reality (VR) is increasingly being recognized for its educational
potential and as an effective way to convey new knowledge to people, it
supports interactive and collaborative activities. Affordable VR powered by
mobile technologies is opening a new world of opportunities that can transform
the ways in which... | [
{
"created": "Sun, 23 Sep 2018 12:22:11 GMT",
"version": "v1"
}
] | 2018-09-25 | [
[
"Leung",
"Tiffany",
""
],
[
"Zulkernine",
"Farhana",
""
],
[
"Isah",
"Haruna",
""
]
] | Virtual Reality (VR) is increasingly being recognized for its educational potential and as an effective way to convey new knowledge to people, it supports interactive and collaborative activities. Affordable VR powered by mobile technologies is opening a new world of opportunities that can transform the ways in which w... |
2404.13192 | Yuchen Zhang | Yuchen Zhang, Xiaoxiao Ma, Jia Wu, Jian Yang and Hao Fan | Heterogeneous Subgraph Transformer for Fake News Detection | null | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Fake news is pervasive on social media, inflicting substantial harm on public
discourse and societal well-being. We investigate the explicit structural
information and textual features of news pieces by constructing a heterogeneous
graph concerning the relations among news topics, entities, and content.
Through our s... | [
{
"created": "Fri, 19 Apr 2024 21:39:37 GMT",
"version": "v1"
}
] | 2024-04-23 | [
[
"Zhang",
"Yuchen",
""
],
[
"Ma",
"Xiaoxiao",
""
],
[
"Wu",
"Jia",
""
],
[
"Yang",
"Jian",
""
],
[
"Fan",
"Hao",
""
]
] | Fake news is pervasive on social media, inflicting substantial harm on public discourse and societal well-being. We investigate the explicit structural information and textual features of news pieces by constructing a heterogeneous graph concerning the relations among news topics, entities, and content. Through our stu... |
2208.00408 | Guangyao Zhai | Guangyao Zhai, Yu Zheng, Ziwei Xu, Xin Kong, Yong Liu, Benjamin Busam,
Yi Ren, Nassir Navab, Zhengyou Zhang | DA$^2$ Dataset: Toward Dexterity-Aware Dual-Arm Grasping | RAL+IROS'22 | null | 10.1109/LRA.2022.3189959 | null | cs.RO cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we introduce DA$^2$, the first large-scale dual-arm
dexterity-aware dataset for the generation of optimal bimanual grasping pairs
for arbitrary large objects. The dataset contains about 9M pairs of
parallel-jaw grasps, generated from more than 6000 objects and each labeled
with various grasp dexterity ... | [
{
"created": "Sun, 31 Jul 2022 10:02:27 GMT",
"version": "v1"
}
] | 2022-08-02 | [
[
"Zhai",
"Guangyao",
""
],
[
"Zheng",
"Yu",
""
],
[
"Xu",
"Ziwei",
""
],
[
"Kong",
"Xin",
""
],
[
"Liu",
"Yong",
""
],
[
"Busam",
"Benjamin",
""
],
[
"Ren",
"Yi",
""
],
[
"Navab",
"Nassir",
"... | In this paper, we introduce DA$^2$, the first large-scale dual-arm dexterity-aware dataset for the generation of optimal bimanual grasping pairs for arbitrary large objects. The dataset contains about 9M pairs of parallel-jaw grasps, generated from more than 6000 objects and each labeled with various grasp dexterity me... |
2407.02751 | Haolin Zuo | Rui Liu, Haolin Zuo, Zheng Lian, Xiaofen Xing, Bj\"orn W. Schuller,
Haizhou Li | Emotion and Intent Joint Understanding in Multimodal Conversation: A
Benchmarking Dataset | 26 pages, 8 figures, 12 tables, NeurIPS 2024 Dataset and Benchmark
Track | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Emotion and Intent Joint Understanding in Multimodal Conversation (MC-EIU)
aims to decode the semantic information manifested in a multimodal
conversational history, while inferring the emotions and intents simultaneously
for the current utterance. MC-EIU is enabling technology for many
human-computer interfaces. How... | [
{
"created": "Wed, 3 Jul 2024 01:56:00 GMT",
"version": "v1"
},
{
"created": "Thu, 4 Jul 2024 15:13:24 GMT",
"version": "v2"
}
] | 2024-07-08 | [
[
"Liu",
"Rui",
""
],
[
"Zuo",
"Haolin",
""
],
[
"Lian",
"Zheng",
""
],
[
"Xing",
"Xiaofen",
""
],
[
"Schuller",
"Björn W.",
""
],
[
"Li",
"Haizhou",
""
]
] | Emotion and Intent Joint Understanding in Multimodal Conversation (MC-EIU) aims to decode the semantic information manifested in a multimodal conversational history, while inferring the emotions and intents simultaneously for the current utterance. MC-EIU is enabling technology for many human-computer interfaces. Howev... |
1012.1673 | Jaeok Park | Jaeok Park, Mihaela van der Schaar | Designing Incentive Schemes Based on Intervention: The Case of Perfect
Monitoring | 8 pages, 2 figures | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper studies a class of incentive schemes based on intervention, where
there exists an intervention device that is able to monitor the actions of
users and to take an action that affects the payoffs of users. We consider the
case of perfect monitoring, where the intervention device can immediately
observe the a... | [
{
"created": "Wed, 8 Dec 2010 02:18:20 GMT",
"version": "v1"
}
] | 2010-12-09 | [
[
"Park",
"Jaeok",
""
],
[
"van der Schaar",
"Mihaela",
""
]
] | This paper studies a class of incentive schemes based on intervention, where there exists an intervention device that is able to monitor the actions of users and to take an action that affects the payoffs of users. We consider the case of perfect monitoring, where the intervention device can immediately observe the act... |
2404.10458 | Qiuyi Hong | Qiuyi Hong, Fanlin Meng, Felipe Maldonado | Advancing Long-Term Multi-Energy Load Forecasting with Patchformer: A
Patch and Transformer-Based Approach | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the context of increasing demands for long-term multi-energy load
forecasting in real-world applications, this paper introduces Patchformer, a
novel model that integrates patch embedding with encoder-decoder
Transformer-based architectures. To address the limitation in existing
Transformer-based models, which stru... | [
{
"created": "Tue, 16 Apr 2024 10:56:33 GMT",
"version": "v1"
}
] | 2024-04-17 | [
[
"Hong",
"Qiuyi",
""
],
[
"Meng",
"Fanlin",
""
],
[
"Maldonado",
"Felipe",
""
]
] | In the context of increasing demands for long-term multi-energy load forecasting in real-world applications, this paper introduces Patchformer, a novel model that integrates patch embedding with encoder-decoder Transformer-based architectures. To address the limitation in existing Transformer-based models, which strugg... |
1910.07738 | Bogdan Trasnea | Sorin Grigorescu and Bogdan Trasnea and Tiberiu Cocias and Gigel
Macesanu | A Survey of Deep Learning Techniques for Autonomous Driving | 28 pages, 7 figures. arXiv admin note: text overlap with
arXiv:1709.02435, arXiv:1610.01256 by other authors | Journal of Field Robotics, Online ISSN:1556-4967, 2019 | 10.1002/rob.21918 | Article ID: ROB21918 | cs.LG cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The last decade witnessed increasingly rapid progress in self-driving vehicle
technology, mainly backed up by advances in the area of deep learning and
artificial intelligence. The objective of this paper is to survey the current
state-of-the-art on deep learning technologies used in autonomous driving. We
start by p... | [
{
"created": "Thu, 17 Oct 2019 07:05:28 GMT",
"version": "v1"
},
{
"created": "Tue, 24 Mar 2020 07:47:39 GMT",
"version": "v2"
}
] | 2020-03-26 | [
[
"Grigorescu",
"Sorin",
""
],
[
"Trasnea",
"Bogdan",
""
],
[
"Cocias",
"Tiberiu",
""
],
[
"Macesanu",
"Gigel",
""
]
] | The last decade witnessed increasingly rapid progress in self-driving vehicle technology, mainly backed up by advances in the area of deep learning and artificial intelligence. The objective of this paper is to survey the current state-of-the-art on deep learning technologies used in autonomous driving. We start by pre... |
1611.07233 | Lukas Cavigelli | Lukas Cavigelli, Pascal Hager, Luca Benini | CAS-CNN: A Deep Convolutional Neural Network for Image Compression
Artifact Suppression | 8 pages | null | 10.1109/IJCNN.2017.7965927 | null | cs.CV cs.AI cs.GR cs.IR cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Lossy image compression algorithms are pervasively used to reduce the size of
images transmitted over the web and recorded on data storage media. However, we
pay for their high compression rate with visual artifacts degrading the user
experience. Deep convolutional neural networks have become a widespread tool to
add... | [
{
"created": "Tue, 22 Nov 2016 10:11:58 GMT",
"version": "v1"
}
] | 2018-01-30 | [
[
"Cavigelli",
"Lukas",
""
],
[
"Hager",
"Pascal",
""
],
[
"Benini",
"Luca",
""
]
] | Lossy image compression algorithms are pervasively used to reduce the size of images transmitted over the web and recorded on data storage media. However, we pay for their high compression rate with visual artifacts degrading the user experience. Deep convolutional neural networks have become a widespread tool to addre... |
1904.10678 | Konstantinos Drossos | Konstantinos Drossos and Paul Magron and Tuomas Virtanen | Unsupervised Adversarial Domain Adaptation Based On The Wasserstein
Distance For Acoustic Scene Classification | Updated indices at Eq 6 | null | null | null | cs.SD cs.LG eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A challenging problem in deep learning-based machine listening field is the
degradation of the performance when using data from unseen conditions. In this
paper we focus on the acoustic scene classification (ASC) task and propose an
adversarial deep learning method to allow adapting an acoustic scene
classification s... | [
{
"created": "Wed, 24 Apr 2019 08:01:38 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Nov 2019 11:56:01 GMT",
"version": "v2"
}
] | 2019-11-07 | [
[
"Drossos",
"Konstantinos",
""
],
[
"Magron",
"Paul",
""
],
[
"Virtanen",
"Tuomas",
""
]
] | A challenging problem in deep learning-based machine listening field is the degradation of the performance when using data from unseen conditions. In this paper we focus on the acoustic scene classification (ASC) task and propose an adversarial deep learning method to allow adapting an acoustic scene classification sys... |
1501.01184 | Jimmy Nielsen | Petar Popovski, Osvaldo Simeone, Jimmy J. Nielsen, \v{C}edomir
Stefanovi\'c | Interference Spins: Scheduling of Multiple Interfering Two-Way Wireless
Links | Accepted for publication in IEEE Communications Letters | null | 10.1109/LCOMM.2014.2387166 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Two-way is a dominant mode of communication in wireless systems. Departing
from the tradition to optimize each transmission direction separately, recent
work has demonstrated that, for time-division duplex (TDD) systems, optimizing
the schedule of the two transmission directions depending on traffic load and
interfer... | [
{
"created": "Tue, 6 Jan 2015 14:11:36 GMT",
"version": "v1"
},
{
"created": "Wed, 4 Feb 2015 13:28:56 GMT",
"version": "v2"
}
] | 2016-11-17 | [
[
"Popovski",
"Petar",
""
],
[
"Simeone",
"Osvaldo",
""
],
[
"Nielsen",
"Jimmy J.",
""
],
[
"Stefanović",
"Čedomir",
""
]
] | Two-way is a dominant mode of communication in wireless systems. Departing from the tradition to optimize each transmission direction separately, recent work has demonstrated that, for time-division duplex (TDD) systems, optimizing the schedule of the two transmission directions depending on traffic load and interferen... |
2208.05907 | Alejandro Cohen | Alejandro Cohen, Rafael G. L. D'Oliveira, Chia-Yi Yeh, Hichem
Guerboukha, Rabi Shrestha, Zhaoji Fang, Edward Knightly, Muriel M\'edard, and
Daniel M. Mittleman | Absolute Security in High-Frequency Wireless Links | null | null | null | null | cs.IT cs.CR math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Security against eavesdropping is one of the key concerns in the design of
any communication system. Many common considerations of the security of a
wireless communication channel rely on comparing the signal level measured by
Bob (the intended receiver) to that accessible to Eve (an eavesdropper).
Frameworks such as... | [
{
"created": "Thu, 11 Aug 2022 16:12:33 GMT",
"version": "v1"
}
] | 2022-08-12 | [
[
"Cohen",
"Alejandro",
""
],
[
"D'Oliveira",
"Rafael G. L.",
""
],
[
"Yeh",
"Chia-Yi",
""
],
[
"Guerboukha",
"Hichem",
""
],
[
"Shrestha",
"Rabi",
""
],
[
"Fang",
"Zhaoji",
""
],
[
"Knightly",
"Edward",
""
... | Security against eavesdropping is one of the key concerns in the design of any communication system. Many common considerations of the security of a wireless communication channel rely on comparing the signal level measured by Bob (the intended receiver) to that accessible to Eve (an eavesdropper). Frameworks such as W... |
1606.09581 | Sahil Sharma | Sahil Sharma, Vinod Sharma and Atul Sharma | Performance Based Evaluation of Various Machine Learning Classification
Techniques for Chronic Kidney Disease Diagnosis | 6 pages, 4 figures, 2 tables | International Journal of Modern Computer Science, Vol.4, Issue3,
June 2016, pp.11-16 | null | null | cs.LG cs.AI cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Areas where Artificial Intelligence (AI) & related fields are finding their
applications are increasing day by day, moving from core areas of computer
science they are finding their applications in various other domains.In recent
times Machine Learning i.e. a sub-domain of AI has been widely used in order to
assist m... | [
{
"created": "Tue, 28 Jun 2016 07:00:07 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Jul 2016 08:14:43 GMT",
"version": "v2"
}
] | 2016-07-19 | [
[
"Sharma",
"Sahil",
""
],
[
"Sharma",
"Vinod",
""
],
[
"Sharma",
"Atul",
""
]
] | Areas where Artificial Intelligence (AI) & related fields are finding their applications are increasing day by day, moving from core areas of computer science they are finding their applications in various other domains.In recent times Machine Learning i.e. a sub-domain of AI has been widely used in order to assist med... |
2406.00751 | Zhu Liu | Zhu Liu | How well do distributed representations convey contextual lexical
semantics: a Thesis Proposal | 6 pages | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Modern neural networks (NNs), trained on extensive raw sentence data,
construct distributed representations by compressing individual words into
dense, continuous, high-dimensional vectors. These representations are
specifically designed to capture the varied meanings, including ambiguity, of
word occurrences within ... | [
{
"created": "Sun, 2 Jun 2024 14:08:51 GMT",
"version": "v1"
}
] | 2024-06-04 | [
[
"Liu",
"Zhu",
""
]
] | Modern neural networks (NNs), trained on extensive raw sentence data, construct distributed representations by compressing individual words into dense, continuous, high-dimensional vectors. These representations are specifically designed to capture the varied meanings, including ambiguity, of word occurrences within co... |
2107.12083 | Zaid Abdullah | Zaid Abdullah, Steven Kisseleff, Konstantinos Ntontin, Wallace Alves
Martins, Symeon Chatzinotas, Bjorn Ottersten | Double-RIS Communication with DF Relaying for Coverage Extension: Is One
Relay Enough? | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we investigate the decode-and-forward (DF) relay-aided double
reconfigurable intelligent surface (RIS)-assisted networks, where the signal is
subject to reflections from two RISs before reaching the destination. Different
relay-aided network architectures are considered for maximum achievable rate
under... | [
{
"created": "Mon, 26 Jul 2021 10:08:58 GMT",
"version": "v1"
}
] | 2021-07-27 | [
[
"Abdullah",
"Zaid",
""
],
[
"Kisseleff",
"Steven",
""
],
[
"Ntontin",
"Konstantinos",
""
],
[
"Martins",
"Wallace Alves",
""
],
[
"Chatzinotas",
"Symeon",
""
],
[
"Ottersten",
"Bjorn",
""
]
] | In this work, we investigate the decode-and-forward (DF) relay-aided double reconfigurable intelligent surface (RIS)-assisted networks, where the signal is subject to reflections from two RISs before reaching the destination. Different relay-aided network architectures are considered for maximum achievable rate under a... |
1811.06874 | Manuel Zierl | Manuel Zierl | Wing Expansion Menu - An approach for faster and more precise navigation
with cascading pull-down menus | 4 Pages, 5 figures | null | null | null | cs.HC | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This paper presents a new design suggestion for cascading pull-down menus to
make user interaction with it faster and therefore easier: The Wing Expansion
Menu (WEM). The proposal is based on the Steering Law, which implies a wider
steering path for menu items. Our Approach combines this enlargement with a
heuristic ... | [
{
"created": "Fri, 16 Nov 2018 15:47:57 GMT",
"version": "v1"
}
] | 2018-11-19 | [
[
"Zierl",
"Manuel",
""
]
] | This paper presents a new design suggestion for cascading pull-down menus to make user interaction with it faster and therefore easier: The Wing Expansion Menu (WEM). The proposal is based on the Steering Law, which implies a wider steering path for menu items. Our Approach combines this enlargement with a heuristic fu... |
1302.4953 | Petr Hajek | Petr Hajek, Lluis Godo, Francesc Esteva | Fuzzy Logic and Probability | Appears in Proceedings of the Eleventh Conference on Uncertainty in
Artificial Intelligence (UAI1995) | null | null | UAI-P-1995-PG-237-244 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we deal with a new approach to probabilistic reasoning in a
logical framework. Nearly almost all logics of probability that have been
proposed in the literature are based on classical two-valued logic. After
making clear the differences between fuzzy logic and probability theory, here
we propose a {em f... | [
{
"created": "Wed, 20 Feb 2013 15:21:03 GMT",
"version": "v1"
}
] | 2013-02-21 | [
[
"Hajek",
"Petr",
""
],
[
"Godo",
"Lluis",
""
],
[
"Esteva",
"Francesc",
""
]
] | In this paper we deal with a new approach to probabilistic reasoning in a logical framework. Nearly almost all logics of probability that have been proposed in the literature are based on classical two-valued logic. After making clear the differences between fuzzy logic and probability theory, here we propose a {em fuz... |
2105.13428 | Arnaud Blouin | Arnaud Blouin, Jean-Marc J\'ez\'equel | Interacto: A Modern User Interaction Processing Model | null | IEEE Transactions on Software Engineering, 2021 | 10.1109/TSE.2021.3083321 | null | cs.SE cs.HC | http://creativecommons.org/licenses/by/4.0/ | Since most software systems provide their users with interactive features,
building user interfaces (UI) is one of the core software engineering tasks. It
consists in designing, implementing and testing ever more sophisticated and
versatile ways for users to interact with software systems, and safely
connecting these... | [
{
"created": "Thu, 27 May 2021 19:59:49 GMT",
"version": "v1"
}
] | 2021-05-31 | [
[
"Blouin",
"Arnaud",
""
],
[
"Jézéquel",
"Jean-Marc",
""
]
] | Since most software systems provide their users with interactive features, building user interfaces (UI) is one of the core software engineering tasks. It consists in designing, implementing and testing ever more sophisticated and versatile ways for users to interact with software systems, and safely connecting these i... |
2311.00890 | Jos\'e A. Soto | Javier Marinkovic, Jos\'e A. Soto, Victor Verdugo | Online Combinatorial Assignment in Independence Systems | 31 pages | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider an online multi-weighted generalization of several classic online
optimization problems, called the online combinatorial assignment problem. We
are given an independence system over a ground set of elements and agents that
arrive online one by one. Upon arrival, each agent reveals a weight function
over t... | [
{
"created": "Wed, 1 Nov 2023 22:46:41 GMT",
"version": "v1"
}
] | 2023-11-03 | [
[
"Marinkovic",
"Javier",
""
],
[
"Soto",
"José A.",
""
],
[
"Verdugo",
"Victor",
""
]
] | We consider an online multi-weighted generalization of several classic online optimization problems, called the online combinatorial assignment problem. We are given an independence system over a ground set of elements and agents that arrive online one by one. Upon arrival, each agent reveals a weight function over the... |
1208.5413 | Alan Guo | Alan Guo, Swastik Kopparty, Madhu Sudan | New affine-invariant codes from lifting | 27 pages | null | null | null | cs.IT cs.CC math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work we explore error-correcting codes derived from the "lifting" of
"affine-invariant" codes. Affine-invariant codes are simply linear codes whose
coordinates are a vector space over a field and which are invariant under
affine-transformations of the coordinate space. Lifting takes codes defined
over a vecto... | [
{
"created": "Mon, 27 Aug 2012 14:57:52 GMT",
"version": "v1"
},
{
"created": "Thu, 8 Nov 2012 19:32:06 GMT",
"version": "v2"
}
] | 2012-11-09 | [
[
"Guo",
"Alan",
""
],
[
"Kopparty",
"Swastik",
""
],
[
"Sudan",
"Madhu",
""
]
] | In this work we explore error-correcting codes derived from the "lifting" of "affine-invariant" codes. Affine-invariant codes are simply linear codes whose coordinates are a vector space over a field and which are invariant under affine-transformations of the coordinate space. Lifting takes codes defined over a vector ... |
2307.00119 | Aaron Mueller | Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed
Firooz | Meta-training with Demonstration Retrieval for Efficient Few-shot
Learning | Accepted to Findings of ACL 2023 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large language models show impressive results on few-shot NLP tasks. However,
these models are memory and computation-intensive. Meta-training allows one to
leverage smaller models for few-shot generalization in a domain-general and
task-agnostic manner; however, these methods alone results in models that may
not hav... | [
{
"created": "Fri, 30 Jun 2023 20:16:22 GMT",
"version": "v1"
}
] | 2023-07-04 | [
[
"Mueller",
"Aaron",
""
],
[
"Narang",
"Kanika",
""
],
[
"Mathias",
"Lambert",
""
],
[
"Wang",
"Qifan",
""
],
[
"Firooz",
"Hamed",
""
]
] | Large language models show impressive results on few-shot NLP tasks. However, these models are memory and computation-intensive. Meta-training allows one to leverage smaller models for few-shot generalization in a domain-general and task-agnostic manner; however, these methods alone results in models that may not have ... |
1906.04787 | Marco Baiesi | Marco Baiesi | Power Gradient Descent | 5 pages, 3 figures | null | null | null | cs.LG cond-mat.stat-mech cs.PF stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The development of machine learning is promoting the search for fast and
stable minimization algorithms. To this end, we suggest a change in the current
gradient descent methods that should speed up the motion in flat regions and
slow it down in steep directions of the function to minimize. It is based on a
"power gr... | [
{
"created": "Tue, 11 Jun 2019 19:48:01 GMT",
"version": "v1"
}
] | 2019-06-13 | [
[
"Baiesi",
"Marco",
""
]
] | The development of machine learning is promoting the search for fast and stable minimization algorithms. To this end, we suggest a change in the current gradient descent methods that should speed up the motion in flat regions and slow it down in steep directions of the function to minimize. It is based on a "power grad... |
1603.08371 | EPTCS | Jana Kofro\v{n}, Jana Tumova, Bara Buhnova | Proceedings of the 13th International Workshop on Formal Engineering
Approaches to Software Components and Architectures | null | EPTCS 205, 2016 | 10.4204/EPTCS.205 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The aim of the FESCA workshop is to bring together junior researchers from
formal methods, software engineering, and industry interested in the
development and application of formal modelling approaches as well as
associated analysis and reasoning techniques with practical benefits for
software engineering.
In rece... | [
{
"created": "Mon, 28 Mar 2016 12:52:17 GMT",
"version": "v1"
}
] | 2016-03-29 | [
[
"Kofroň",
"Jana",
""
],
[
"Tumova",
"Jana",
""
],
[
"Buhnova",
"Bara",
""
]
] | The aim of the FESCA workshop is to bring together junior researchers from formal methods, software engineering, and industry interested in the development and application of formal modelling approaches as well as associated analysis and reasoning techniques with practical benefits for software engineering. In recent y... |
cs/0602066 | Louis Mello | Louis Mello | Natural Economics | null | null | null | null | cs.OH | null | A few considerations on the nature of Economics and its relationship to human
communities through the prism of Self-Organizing-Systems.
| [
{
"created": "Fri, 17 Feb 2006 17:01:00 GMT",
"version": "v1"
}
] | 2011-11-10 | [
[
"Mello",
"Louis",
""
]
] | A few considerations on the nature of Economics and its relationship to human communities through the prism of Self-Organizing-Systems. |
2310.05962 | Ke Ma | Ke Ma, Yiliang Sang, Yang Ming, Jin Lian, Chang Tian, Zhaocheng Wang | Improving the Performance of R17 Type-II Codebook with Deep Learning | Accepted by IEEE GLOBECOM 2023, conference version of
Arxiv:2305.08081 | null | null | null | cs.IT cs.LG eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Type-II codebook in Release 17 (R17) exploits the angular-delay-domain
partial reciprocity between uplink and downlink channels to select part of
angular-delay-domain ports for measuring and feeding back the downlink channel
state information (CSI), where the performance of existing deep learning
enhanced CSI fee... | [
{
"created": "Wed, 13 Sep 2023 04:34:32 GMT",
"version": "v1"
}
] | 2023-10-11 | [
[
"Ma",
"Ke",
""
],
[
"Sang",
"Yiliang",
""
],
[
"Ming",
"Yang",
""
],
[
"Lian",
"Jin",
""
],
[
"Tian",
"Chang",
""
],
[
"Wang",
"Zhaocheng",
""
]
] | The Type-II codebook in Release 17 (R17) exploits the angular-delay-domain partial reciprocity between uplink and downlink channels to select part of angular-delay-domain ports for measuring and feeding back the downlink channel state information (CSI), where the performance of existing deep learning enhanced CSI feedb... |
1612.05320 | Jeffrey Shallit | Jeffrey Shallit | Minimum Critical Exponents for Palindromes | null | null | null | null | cs.FL cs.DM math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We determine the minimum possible critical exponent for all palindromes over
finite alphabets.
| [
{
"created": "Fri, 16 Dec 2016 00:31:53 GMT",
"version": "v1"
},
{
"created": "Tue, 20 Dec 2016 11:46:14 GMT",
"version": "v2"
}
] | 2016-12-21 | [
[
"Shallit",
"Jeffrey",
""
]
] | We determine the minimum possible critical exponent for all palindromes over finite alphabets. |
2001.05402 | Fran\c{c}ois Dross | Fran\c{c}ois Dross | 1-planar graphs with minimum degree at least 3 have bounded girth | It has come to the attention of the author that the main result of
the contribution can readily be obtained by combining existing results.
Graphs with minimum degree 3 and large enough girth have a 2d-shallow minor
of minimum degree at least $2^d$. Moreover, the edge density in shallow
minors of $k$-planar grap... | null | null | null | cs.DM math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We show that every 1-planar graph with minimum degree at least 4 has girth at
most $8$, and every 1-planar graph with minimum degree at least 3 has girth at
most $198$.
| [
{
"created": "Wed, 15 Jan 2020 16:12:38 GMT",
"version": "v1"
},
{
"created": "Thu, 16 Jan 2020 16:42:08 GMT",
"version": "v2"
}
] | 2020-01-17 | [
[
"Dross",
"François",
""
]
] | We show that every 1-planar graph with minimum degree at least 4 has girth at most $8$, and every 1-planar graph with minimum degree at least 3 has girth at most $198$. |
1702.06298 | Md Saiful Islam | Md. Saiful Islam, Wenny Rahayu, Chengfei Liu, Tarique Anwar and Bela
Stantic | Computing Influence of a Product through Uncertain Reverse Skyline | 12 pages, 3 tables, 12 figures, submitted to SSDBM 2017 | null | null | null | cs.DB cs.DC cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Understanding the influence of a product is crucially important for making
informed business decisions. This paper introduces a new type of skyline
queries, called uncertain reverse skyline, for measuring the influence of a
probabilistic product in uncertain data settings. More specifically, given a
dataset of probab... | [
{
"created": "Tue, 21 Feb 2017 09:06:04 GMT",
"version": "v1"
}
] | 2017-02-22 | [
[
"Islam",
"Md. Saiful",
""
],
[
"Rahayu",
"Wenny",
""
],
[
"Liu",
"Chengfei",
""
],
[
"Anwar",
"Tarique",
""
],
[
"Stantic",
"Bela",
""
]
] | Understanding the influence of a product is crucially important for making informed business decisions. This paper introduces a new type of skyline queries, called uncertain reverse skyline, for measuring the influence of a probabilistic product in uncertain data settings. More specifically, given a dataset of probabil... |
1810.08054 | Ryan Rogers | Marco Gaboardi and Ryan Rogers and Or Sheffet | Locally Private Mean Estimation: Z-test and Tight Confidence Intervals | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work provides tight upper- and lower-bounds for the problem of mean
estimation under $\epsilon$-differential privacy in the local model, when the
input is composed of $n$ i.i.d. drawn samples from a normal distribution with
variance $\sigma$. Our algorithms result in a $(1-\beta)$-confidence interval
for the und... | [
{
"created": "Thu, 18 Oct 2018 13:48:58 GMT",
"version": "v1"
},
{
"created": "Sat, 26 Jan 2019 01:20:58 GMT",
"version": "v2"
},
{
"created": "Wed, 10 Apr 2019 18:45:51 GMT",
"version": "v3"
}
] | 2019-04-12 | [
[
"Gaboardi",
"Marco",
""
],
[
"Rogers",
"Ryan",
""
],
[
"Sheffet",
"Or",
""
]
] | This work provides tight upper- and lower-bounds for the problem of mean estimation under $\epsilon$-differential privacy in the local model, when the input is composed of $n$ i.i.d. drawn samples from a normal distribution with variance $\sigma$. Our algorithms result in a $(1-\beta)$-confidence interval for the under... |
2306.03361 | Deuksin Kwon | Deuksin Kwon, Sunwoo Lee, Ki Hyun Kim, Seojin Lee, Taeyoon Kim, Eric
Davis | WHAT, WHEN, and HOW to Ground: Designing User Persona-Aware
Conversational Agents for Engaging Dialogue | Accepted in ACL 2023 Industry Track | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a method for building a personalized open-domain dialogue
system to address the WWH (WHAT, WHEN, and HOW) problem for natural response
generation in a commercial setting, where personalized dialogue responses are
heavily interleaved with casual response turns. The proposed approach involves
weight... | [
{
"created": "Tue, 6 Jun 2023 02:28:38 GMT",
"version": "v1"
},
{
"created": "Wed, 21 Jun 2023 16:37:22 GMT",
"version": "v2"
},
{
"created": "Mon, 3 Jul 2023 22:44:12 GMT",
"version": "v3"
}
] | 2023-07-06 | [
[
"Kwon",
"Deuksin",
""
],
[
"Lee",
"Sunwoo",
""
],
[
"Kim",
"Ki Hyun",
""
],
[
"Lee",
"Seojin",
""
],
[
"Kim",
"Taeyoon",
""
],
[
"Davis",
"Eric",
""
]
] | This paper presents a method for building a personalized open-domain dialogue system to address the WWH (WHAT, WHEN, and HOW) problem for natural response generation in a commercial setting, where personalized dialogue responses are heavily interleaved with casual response turns. The proposed approach involves weighted... |
2009.14799 | Carson Eisenach | Carson Eisenach and Yagna Patel and Dhruv Madeka | MQTransformer: Multi-Horizon Forecasts with Context Dependent and
Feedback-Aware Attention | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advances in neural forecasting have produced major improvements in
accuracy for probabilistic demand prediction. In this work, we propose novel
improvements to the current state of the art by incorporating changes inspired
by recent advances in Transformer architectures for Natural Language
Processing. We deve... | [
{
"created": "Wed, 30 Sep 2020 17:12:46 GMT",
"version": "v1"
},
{
"created": "Wed, 7 Oct 2020 23:06:45 GMT",
"version": "v2"
},
{
"created": "Wed, 2 Dec 2020 21:14:11 GMT",
"version": "v3"
},
{
"created": "Thu, 27 Jan 2022 03:02:39 GMT",
"version": "v4"
}
] | 2022-01-28 | [
[
"Eisenach",
"Carson",
""
],
[
"Patel",
"Yagna",
""
],
[
"Madeka",
"Dhruv",
""
]
] | Recent advances in neural forecasting have produced major improvements in accuracy for probabilistic demand prediction. In this work, we propose novel improvements to the current state of the art by incorporating changes inspired by recent advances in Transformer architectures for Natural Language Processing. We develo... |
2407.13052 | Seungeon Lee | Seungeon Lee, Nina Corvelo Benz, Suhas Thejaswi, Manuel
Gomez-Rodriguez | Matchings, Predictions and Counterfactual Harm in Refugee Resettlement
Processes | 24 pages including reference and appendix | null | null | null | cs.CY cs.DS cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Resettlement agencies have started to adopt data-driven algorithmic matching
to match refugees to locations using employment rate as a measure of utility.
Given a pool of refugees, data-driven algorithmic matching utilizes a
classifier to predict the probability that each refugee would find employment
at any given lo... | [
{
"created": "Fri, 24 May 2024 19:51:01 GMT",
"version": "v1"
}
] | 2024-07-19 | [
[
"Lee",
"Seungeon",
""
],
[
"Benz",
"Nina Corvelo",
""
],
[
"Thejaswi",
"Suhas",
""
],
[
"Gomez-Rodriguez",
"Manuel",
""
]
] | Resettlement agencies have started to adopt data-driven algorithmic matching to match refugees to locations using employment rate as a measure of utility. Given a pool of refugees, data-driven algorithmic matching utilizes a classifier to predict the probability that each refugee would find employment at any given loca... |
2404.05011 | Szymon Wilk | Alexandra Kogan, Roy Leizer, Szymon Wilk, David Glasspool | A Hybrid Execution Environment for Computer-Interpretable Guidelines in
PROforma | Presented as a short paper at the Knowledge Representation for
Healthcare 2023 (KR4HC 2023) workshop | null | null | null | cs.SE | http://creativecommons.org/licenses/by-nc-nd/4.0/ | In this paper, we share our experience of developing a hybrid execution
environment for computer-interpretable guidelines (CIGs) in PROforma. The
proposed environment is part of the CAPABLE system which provides coaching for
cancer patients and decision support for physicians. It extends a standard
PROforma execution... | [
{
"created": "Sun, 7 Apr 2024 16:32:37 GMT",
"version": "v1"
}
] | 2024-04-09 | [
[
"Kogan",
"Alexandra",
""
],
[
"Leizer",
"Roy",
""
],
[
"Wilk",
"Szymon",
""
],
[
"Glasspool",
"David",
""
]
] | In this paper, we share our experience of developing a hybrid execution environment for computer-interpretable guidelines (CIGs) in PROforma. The proposed environment is part of the CAPABLE system which provides coaching for cancer patients and decision support for physicians. It extends a standard PROforma execution e... |
1901.05355 | Shridhar Ravikumar | Shridhar Ravikumar | Lightweight Markerless Monocular Face Capture with 3D Spatial Priors | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a simple lightweight markerless facial performance capture
framework using just a monocular video input that combines Active Appearance
Models for feature tracking and prior constraints on 3D shapes into an
integrated objective function. 2D monocular inputs inherently lack information
along the depth axis ... | [
{
"created": "Wed, 16 Jan 2019 15:51:25 GMT",
"version": "v1"
}
] | 2019-01-17 | [
[
"Ravikumar",
"Shridhar",
""
]
] | We present a simple lightweight markerless facial performance capture framework using just a monocular video input that combines Active Appearance Models for feature tracking and prior constraints on 3D shapes into an integrated objective function. 2D monocular inputs inherently lack information along the depth axis an... |
2403.06103 | Morgen Pronk | Morgen Pronk | Generative LSTM Models and Asset Hierarchy Creation in Industrial
Facilities | Code available on request | null | null | null | cs.CE | http://creativecommons.org/licenses/by/4.0/ | In the evolving field of maintenance and reliability engineering, the
organization of equipment into hierarchical structures presents both a
challenge and a necessity, directly impacting the operational integrity of
industrial facilities. This paper introduces an innovative approach employing
machine learning, specif... | [
{
"created": "Sun, 10 Mar 2024 06:07:16 GMT",
"version": "v1"
}
] | 2024-03-12 | [
[
"Pronk",
"Morgen",
""
]
] | In the evolving field of maintenance and reliability engineering, the organization of equipment into hierarchical structures presents both a challenge and a necessity, directly impacting the operational integrity of industrial facilities. This paper introduces an innovative approach employing machine learning, specific... |
2008.10401 | Mark Dukes Dr | Mark Dukes, Anthony A. Casey | Combinatorial diversity metrics for the analysis of policy processes | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present several completely general diversity metrics to quantify the
problem-solving capacity of any public policy decision making process. This is
performed by modelling the policy process using a declarative process paradigm
in conjunction with constraints modelled by expressions in linear temporal
logic. We int... | [
{
"created": "Wed, 19 Aug 2020 19:46:29 GMT",
"version": "v1"
}
] | 2020-08-25 | [
[
"Dukes",
"Mark",
""
],
[
"Casey",
"Anthony A.",
""
]
] | We present several completely general diversity metrics to quantify the problem-solving capacity of any public policy decision making process. This is performed by modelling the policy process using a declarative process paradigm in conjunction with constraints modelled by expressions in linear temporal logic. We intro... |
2401.15203 | Zaixi Zhang | Zaixi Zhang, Qingyong Hu, Yang Yu, Weibo Gao, Qi Liu | FedGT: Federated Node Classification with Scalable Graph Transformer | ICLR 24 submission | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Graphs are widely used to model relational data. As graphs are getting larger
and larger in real-world scenarios, there is a trend to store and compute
subgraphs in multiple local systems. For example, recently proposed
\emph{subgraph federated learning} methods train Graph Neural Networks (GNNs)
distributively on lo... | [
{
"created": "Fri, 26 Jan 2024 21:02:36 GMT",
"version": "v1"
}
] | 2024-01-30 | [
[
"Zhang",
"Zaixi",
""
],
[
"Hu",
"Qingyong",
""
],
[
"Yu",
"Yang",
""
],
[
"Gao",
"Weibo",
""
],
[
"Liu",
"Qi",
""
]
] | Graphs are widely used to model relational data. As graphs are getting larger and larger in real-world scenarios, there is a trend to store and compute subgraphs in multiple local systems. For example, recently proposed \emph{subgraph federated learning} methods train Graph Neural Networks (GNNs) distributively on loca... |
2310.01201 | Thomas Guyet | Hana Sebia, Thomas Guyet, Etienne Audureau | SWoTTeD: An Extension of Tensor Decomposition to Temporal Phenotyping | null | null | 10.1007/s10994-024-06545-8 | null | cs.LG stat.ML | http://creativecommons.org/licenses/by-sa/4.0/ | Tensor decomposition has recently been gaining attention in the machine
learning community for the analysis of individual traces, such as Electronic
Health Records (EHR). However, this task becomes significantly more difficult
when the data follows complex temporal patterns. This paper introduces the
notion of a temp... | [
{
"created": "Mon, 2 Oct 2023 13:42:11 GMT",
"version": "v1"
},
{
"created": "Tue, 20 Feb 2024 16:10:29 GMT",
"version": "v2"
},
{
"created": "Thu, 28 Mar 2024 15:09:13 GMT",
"version": "v3"
}
] | 2024-05-03 | [
[
"Sebia",
"Hana",
""
],
[
"Guyet",
"Thomas",
""
],
[
"Audureau",
"Etienne",
""
]
] | Tensor decomposition has recently been gaining attention in the machine learning community for the analysis of individual traces, such as Electronic Health Records (EHR). However, this task becomes significantly more difficult when the data follows complex temporal patterns. This paper introduces the notion of a tempor... |
2010.03338 | Mingzhu Wu | Mingzhu Wu, Nafise Sadat Moosavi, Andreas R\"uckl\'e and Iryna
Gurevych | Improving QA Generalization by Concurrent Modeling of Multiple Biases | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Existing NLP datasets contain various biases that models can easily exploit
to achieve high performances on the corresponding evaluation sets. However,
focusing on dataset-specific biases limits their ability to learn more
generalizable knowledge about the task from more general data patterns. In this
paper, we inves... | [
{
"created": "Wed, 7 Oct 2020 11:18:49 GMT",
"version": "v1"
}
] | 2020-10-08 | [
[
"Wu",
"Mingzhu",
""
],
[
"Moosavi",
"Nafise Sadat",
""
],
[
"Rücklé",
"Andreas",
""
],
[
"Gurevych",
"Iryna",
""
]
] | Existing NLP datasets contain various biases that models can easily exploit to achieve high performances on the corresponding evaluation sets. However, focusing on dataset-specific biases limits their ability to learn more generalizable knowledge about the task from more general data patterns. In this paper, we investi... |
1303.1728 | Zungeru Adamu Murtala | A.M. Zungeru, P.O. Abraham-Attah | A Digital Automatic Sliding Door with a Room Light Control System | 17 pages, 17 figures, Journal paper | A.M. Zungeru, P.O. Abraham-Attah. A Digital Automatic Sliding Door
with a Room Light Control System, International Journal of Information
Technology, Modeling and Computing (IJITMC), vol. 1(1), pp. 1-17, 2012 | null | null | cs.OH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Automatic door is an automated movable barrier installed in the entry of a
room or building to restrict access, provide ease of opening a door or provide
visual privacy. As a result of enhanced civilization and modernization, the
human nature demands more comfort to his life. The man seeks ways to do things
easily an... | [
{
"created": "Thu, 7 Mar 2013 16:02:28 GMT",
"version": "v1"
}
] | 2013-03-08 | [
[
"Zungeru",
"A. M.",
""
],
[
"Abraham-Attah",
"P. O.",
""
]
] | Automatic door is an automated movable barrier installed in the entry of a room or building to restrict access, provide ease of opening a door or provide visual privacy. As a result of enhanced civilization and modernization, the human nature demands more comfort to his life. The man seeks ways to do things easily and ... |
2312.06827 | Jo\~ao Madeiras Pereira | Pedro Granja and Jo\~ao Pereira | Hybrid-Rendering Techniques in GPU | null | null | null | null | cs.GR | http://creativecommons.org/licenses/by/4.0/ | Ray tracing has long been the holy grail of real time rendering. This
technique, commonly used for photo realism, simulates the physical behavior of
light, at the cost of being computationally heavy. With the introduction of
Nvidia RTX graphic card family, which provides hardware support for ray
tracing, this techniq... | [
{
"created": "Mon, 11 Dec 2023 20:38:17 GMT",
"version": "v1"
}
] | 2023-12-13 | [
[
"Granja",
"Pedro",
""
],
[
"Pereira",
"João",
""
]
] | Ray tracing has long been the holy grail of real time rendering. This technique, commonly used for photo realism, simulates the physical behavior of light, at the cost of being computationally heavy. With the introduction of Nvidia RTX graphic card family, which provides hardware support for ray tracing, this technique... |
2401.00604 | Peihao Wang | Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest
Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra | SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via
Stein Identity | Project page: https://vita-group.github.io/SteinDreamer/ | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Score distillation has emerged as one of the most prevalent approaches for
text-to-3D asset synthesis. Essentially, score distillation updates 3D
parameters by lifting and back-propagating scores averaged over different
views. In this paper, we reveal that the gradient estimation in score
distillation is inherent to ... | [
{
"created": "Sun, 31 Dec 2023 23:04:25 GMT",
"version": "v1"
},
{
"created": "Fri, 29 Mar 2024 18:33:30 GMT",
"version": "v2"
}
] | 2024-04-02 | [
[
"Wang",
"Peihao",
""
],
[
"Fan",
"Zhiwen",
""
],
[
"Xu",
"Dejia",
""
],
[
"Wang",
"Dilin",
""
],
[
"Mohan",
"Sreyas",
""
],
[
"Iandola",
"Forrest",
""
],
[
"Ranjan",
"Rakesh",
""
],
[
"Li",
"Yil... | Score distillation has emerged as one of the most prevalent approaches for text-to-3D asset synthesis. Essentially, score distillation updates 3D parameters by lifting and back-propagating scores averaged over different views. In this paper, we reveal that the gradient estimation in score distillation is inherent to hi... |
2406.05866 | Vincenzo Liguori | Vincenzo Liguori | Procrastination Is All You Need: Exponent Indexed Accumulators for
Floating Point, Posits and Logarithmic Numbers | null | null | null | null | cs.CV cs.AI cs.AR | http://creativecommons.org/licenses/by/4.0/ | This paper discusses a simple and effective method for the summation of long
sequences of floating point numbers. The method comprises two phases: an
accumulation phase where the mantissas of the floating point numbers are added
to accumulators indexed by the exponents and a reconstruction phase where the
actual summ... | [
{
"created": "Sun, 9 Jun 2024 17:44:17 GMT",
"version": "v1"
}
] | 2024-06-11 | [
[
"Liguori",
"Vincenzo",
""
]
] | This paper discusses a simple and effective method for the summation of long sequences of floating point numbers. The method comprises two phases: an accumulation phase where the mantissas of the floating point numbers are added to accumulators indexed by the exponents and a reconstruction phase where the actual summat... |
2309.06814 | Priyadharshini R | R.Priyadharshini, G.Jeyakodi, P.Shanthi Bala | Comparative Analysis of Contextual Relation Extraction based on Deep
Learning Models | This Paper Presented in the International Conference on FOSS
Approaches towards Computational Intelligence and Language TTechnolog on
February 2023, Thiruvananthapuram | An International Journal of Engineering Science, March 2023 | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Contextual Relation Extraction (CRE) is mainly used for constructing a
knowledge graph with a help of ontology. It performs various tasks such as
semantic search, query answering, and textual entailment. Relation extraction
identifies the entities from raw texts and the relations among them. An
efficient and accurate... | [
{
"created": "Wed, 13 Sep 2023 09:05:09 GMT",
"version": "v1"
}
] | 2023-09-14 | [
[
"Priyadharshini",
"R.",
""
],
[
"Jeyakodi",
"G.",
""
],
[
"Bala",
"P. Shanthi",
""
]
] | Contextual Relation Extraction (CRE) is mainly used for constructing a knowledge graph with a help of ontology. It performs various tasks such as semantic search, query answering, and textual entailment. Relation extraction identifies the entities from raw texts and the relations among them. An efficient and accurate C... |
1904.07344 | Xing Di | Xing Di, Benjamin S. Riggan, Shuowen Hu, Nathaniel J. Short, Vishal M.
Patel | Polarimetric Thermal to Visible Face Verification via Self-Attention
Guided Synthesis | This work is accepted at the 12th IAPR International Conference On
Biometrics (ICB 2019) | null | 10.1109/ICB45273.2019.8987329 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Polarimetric thermal to visible face verification entails matching two images
that contain significant domain differences. Several recent approaches have
attempted to synthesize visible faces from thermal images for cross-modal
matching. In this paper, we take a different approach in which rather than
focusing only o... | [
{
"created": "Mon, 15 Apr 2019 21:58:40 GMT",
"version": "v1"
}
] | 2020-04-23 | [
[
"Di",
"Xing",
""
],
[
"Riggan",
"Benjamin S.",
""
],
[
"Hu",
"Shuowen",
""
],
[
"Short",
"Nathaniel J.",
""
],
[
"Patel",
"Vishal M.",
""
]
] | Polarimetric thermal to visible face verification entails matching two images that contain significant domain differences. Several recent approaches have attempted to synthesize visible faces from thermal images for cross-modal matching. In this paper, we take a different approach in which rather than focusing only on ... |
1911.07375 | Li-Yang Tan | Guy Blanc, Jane Lange, Li-Yang Tan | Top-down induction of decision trees: rigorous guarantees and inherent
limitations | null | null | null | null | cs.DS cs.CC cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Consider the following heuristic for building a decision tree for a function
$f : \{0,1\}^n \to \{\pm 1\}$. Place the most influential variable $x_i$ of $f$
at the root, and recurse on the subfunctions $f_{x_i=0}$ and $f_{x_i=1}$ on the
left and right subtrees respectively; terminate once the tree is an
$\varepsilon$... | [
{
"created": "Mon, 18 Nov 2019 00:25:31 GMT",
"version": "v1"
}
] | 2019-11-19 | [
[
"Blanc",
"Guy",
""
],
[
"Lange",
"Jane",
""
],
[
"Tan",
"Li-Yang",
""
]
] | Consider the following heuristic for building a decision tree for a function $f : \{0,1\}^n \to \{\pm 1\}$. Place the most influential variable $x_i$ of $f$ at the root, and recurse on the subfunctions $f_{x_i=0}$ and $f_{x_i=1}$ on the left and right subtrees respectively; terminate once the tree is an $\varepsilon$-a... |
2102.00417 | Pranay Lohia | Pranay Lohia | Priority-based Post-Processing Bias Mitigation for Individual and Group
Fairness | null | null | null | null | cs.AI | http://creativecommons.org/licenses/by/4.0/ | Previous post-processing bias mitigation algorithms on both group and
individual fairness don't work on regression models and datasets with
multi-class numerical labels. We propose a priority-based post-processing bias
mitigation on both group and individual fairness with the notion that similar
individuals should ge... | [
{
"created": "Sun, 31 Jan 2021 09:25:28 GMT",
"version": "v1"
}
] | 2021-02-02 | [
[
"Lohia",
"Pranay",
""
]
] | Previous post-processing bias mitigation algorithms on both group and individual fairness don't work on regression models and datasets with multi-class numerical labels. We propose a priority-based post-processing bias mitigation on both group and individual fairness with the notion that similar individuals should get ... |
2401.08865 | Nicholas Konz | Nicholas Konz, Maciej A. Mazurowski | The Effect of Intrinsic Dataset Properties on Generalization: Unraveling
Learning Differences Between Natural and Medical Images | ICLR 2024. Code:
https://github.com/mazurowski-lab/intrinsic-properties | null | null | null | cs.CV cs.LG eess.IV stat.ML | http://creativecommons.org/licenses/by/4.0/ | This paper investigates discrepancies in how neural networks learn from
different imaging domains, which are commonly overlooked when adopting computer
vision techniques from the domain of natural images to other specialized
domains such as medical images. Recent works have found that the generalization
error of a tr... | [
{
"created": "Tue, 16 Jan 2024 22:36:23 GMT",
"version": "v1"
},
{
"created": "Mon, 22 Jan 2024 15:30:08 GMT",
"version": "v2"
},
{
"created": "Wed, 21 Feb 2024 16:17:22 GMT",
"version": "v3"
}
] | 2024-02-22 | [
[
"Konz",
"Nicholas",
""
],
[
"Mazurowski",
"Maciej A.",
""
]
] | This paper investigates discrepancies in how neural networks learn from different imaging domains, which are commonly overlooked when adopting computer vision techniques from the domain of natural images to other specialized domains such as medical images. Recent works have found that the generalization error of a trai... |
1603.04080 | Chetan Singh Thakur | Runchun Wang, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan
Tapson, Andr\'e van Schaik | A Stochastic Approach to STDP | IEEE-International Symposium on Circuits and Systems (ISCAS)-2016 | null | 10.1109/ISCAS.2016.7538989 | null | cs.NE | http://creativecommons.org/licenses/by/4.0/ | We present a digital implementation of the Spike Timing Dependent Plasticity
(STDP) learning rule. The proposed digital implementation consists of an
exponential decay generator array and a STDP adaptor array. On the arrival of a
pre- and post-synaptic spike, the STDP adaptor will send a digital spike to the
decay ge... | [
{
"created": "Sun, 13 Mar 2016 21:44:22 GMT",
"version": "v1"
}
] | 2016-11-18 | [
[
"Wang",
"Runchun",
""
],
[
"Thakur",
"Chetan Singh",
""
],
[
"Hamilton",
"Tara Julia",
""
],
[
"Tapson",
"Jonathan",
""
],
[
"van Schaik",
"André",
""
]
] | We present a digital implementation of the Spike Timing Dependent Plasticity (STDP) learning rule. The proposed digital implementation consists of an exponential decay generator array and a STDP adaptor array. On the arrival of a pre- and post-synaptic spike, the STDP adaptor will send a digital spike to the decay gene... |
2308.08072 | Zhongyu Wang | Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Jiashu Qian and Yao Yang | Decentralized Graph Neural Network for Privacy-Preserving Recommendation | null | null | null | null | cs.IR cs.AI cs.CR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Building a graph neural network (GNN)-based recommender system without
violating user privacy proves challenging. Existing methods can be divided into
federated GNNs and decentralized GNNs. But both methods have undesirable
effects, i.e., low communication efficiency and privacy leakage. This paper
proposes DGREC, a ... | [
{
"created": "Tue, 15 Aug 2023 23:56:44 GMT",
"version": "v1"
}
] | 2023-08-17 | [
[
"Zheng",
"Xiaolin",
""
],
[
"Wang",
"Zhongyu",
""
],
[
"Chen",
"Chaochao",
""
],
[
"Qian",
"Jiashu",
""
],
[
"Yang",
"Yao",
""
]
] | Building a graph neural network (GNN)-based recommender system without violating user privacy proves challenging. Existing methods can be divided into federated GNNs and decentralized GNNs. But both methods have undesirable effects, i.e., low communication efficiency and privacy leakage. This paper proposes DGREC, a no... |
2110.03149 | Akriti Verma | Akriti Verma, Valeh Moghaddam and Adnan Anwar | Data-driven behavioural biometrics for continuous and adaptive user
verification using Smartphone and Smartwatch | 11 pages, 7 figures, 2 tables | null | null | null | cs.LG eess.SP | http://creativecommons.org/licenses/by/4.0/ | Recent studies have shown how motion-based biometrics can be used as a form
of user authentication and identification without requiring any human
cooperation. This category of behavioural biometrics deals with the features we
learn in our life as a result of our interaction with the environment and
nature. This modal... | [
{
"created": "Thu, 7 Oct 2021 02:46:21 GMT",
"version": "v1"
}
] | 2021-10-08 | [
[
"Verma",
"Akriti",
""
],
[
"Moghaddam",
"Valeh",
""
],
[
"Anwar",
"Adnan",
""
]
] | Recent studies have shown how motion-based biometrics can be used as a form of user authentication and identification without requiring any human cooperation. This category of behavioural biometrics deals with the features we learn in our life as a result of our interaction with the environment and nature. This modalit... |
2112.03968 | Pascal Mattia Esser | Pascal Mattia Esser, Leena Chennuru Vankadara, Debarghya Ghoshdastidar | Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural
Networks | 35th Conference on Neural Information Processing Systems (NeurIPS
2021) | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, several results in the supervised learning setting suggested
that classical statistical learning-theoretic measures, such as VC dimension,
do not adequately explain the performance of deep learning models which
prompted a slew of work in the infinite-width and iteration regimes. However,
there is lit... | [
{
"created": "Tue, 7 Dec 2021 20:06:23 GMT",
"version": "v1"
}
] | 2021-12-09 | [
[
"Esser",
"Pascal Mattia",
""
],
[
"Vankadara",
"Leena Chennuru",
""
],
[
"Ghoshdastidar",
"Debarghya",
""
]
] | In recent years, several results in the supervised learning setting suggested that classical statistical learning-theoretic measures, such as VC dimension, do not adequately explain the performance of deep learning models which prompted a slew of work in the infinite-width and iteration regimes. However, there is littl... |
2011.09375 | Markus Anders | Markus Anders and Pascal Schweitzer | Engineering a Fast Probabilistic Isomorphism Test | To appear at ALENEX 2021 | null | null | null | cs.DS cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We engineer a new probabilistic Monte-Carlo algorithm for isomorphism
testing. Most notably, as opposed to all other solvers, it implicitly exploits
the presence of symmetries without explicitly computing them.
We provide extensive benchmarks, showing that the algorithm outperforms all
state-of-the-art solutions fo... | [
{
"created": "Wed, 18 Nov 2020 16:18:53 GMT",
"version": "v1"
}
] | 2020-11-19 | [
[
"Anders",
"Markus",
""
],
[
"Schweitzer",
"Pascal",
""
]
] | We engineer a new probabilistic Monte-Carlo algorithm for isomorphism testing. Most notably, as opposed to all other solvers, it implicitly exploits the presence of symmetries without explicitly computing them. We provide extensive benchmarks, showing that the algorithm outperforms all state-of-the-art solutions for is... |
1409.2186 | Pin-Yu Chen | Pin-Yu Chen and Alfred O. Hero III | Universal Phase Transition in Community Detectability under a Stochastic
Block Model | 9 pages, 7 figures, to appear in Physical Review E | null | 10.1103/PhysRevE.91.032804 | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We prove the existence of an asymptotic phase transition threshold on
community detectability for the spectral modularity method [M. E. J. Newman,
Phys. Rev. E 74, 036104 (2006) and Proc. National Academy of Sciences. 103,
8577 (2006)] under a stochastic block model. The phase transition on community
detectability oc... | [
{
"created": "Mon, 8 Sep 2014 01:57:10 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Sep 2014 19:30:11 GMT",
"version": "v2"
},
{
"created": "Sun, 1 Mar 2015 06:43:52 GMT",
"version": "v3"
},
{
"created": "Tue, 3 Mar 2015 01:51:01 GMT",
"version": "v4"
},
{
"crea... | 2015-06-22 | [
[
"Chen",
"Pin-Yu",
""
],
[
"Hero",
"Alfred O.",
"III"
]
] | We prove the existence of an asymptotic phase transition threshold on community detectability for the spectral modularity method [M. E. J. Newman, Phys. Rev. E 74, 036104 (2006) and Proc. National Academy of Sciences. 103, 8577 (2006)] under a stochastic block model. The phase transition on community detectability occu... |
1704.06378 | Victor Stamatescu | Avishek Chakraborty, Victor Stamatescu, Sebastien C. Wong, Grant
Wigley, David Kearney | A data set for evaluating the performance of multi-class multi-object
video tracking | Originally presented at SPIE Defense + Security conference on
Automatic Target Recognition XXVII (2017) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | One of the challenges in evaluating multi-object video detection, tracking
and classification systems is having publically available data sets with which
to compare different systems. However, the measures of performance for tracking
and classification are different. Data sets that are suitable for evaluating
trackin... | [
{
"created": "Fri, 21 Apr 2017 02:14:13 GMT",
"version": "v1"
}
] | 2017-04-24 | [
[
"Chakraborty",
"Avishek",
""
],
[
"Stamatescu",
"Victor",
""
],
[
"Wong",
"Sebastien C.",
""
],
[
"Wigley",
"Grant",
""
],
[
"Kearney",
"David",
""
]
] | One of the challenges in evaluating multi-object video detection, tracking and classification systems is having publically available data sets with which to compare different systems. However, the measures of performance for tracking and classification are different. Data sets that are suitable for evaluating tracking ... |
2203.11683 | Zhaohui Wang | Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu and Xueqi Cheng | Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The expressive power of message passing GNNs is upper-bounded by
Weisfeiler-Lehman (WL) test. To achieve high expressive GNNs beyond WL test, we
propose a novel graph isomorphism test method, namely Twin-WL, which
simultaneously passes node labels and node identities rather than only passes
node label as WL. The iden... | [
{
"created": "Tue, 22 Mar 2022 12:58:03 GMT",
"version": "v1"
}
] | 2022-03-23 | [
[
"Wang",
"Zhaohui",
""
],
[
"Cao",
"Qi",
""
],
[
"Shen",
"Huawei",
""
],
[
"Xu",
"Bingbing",
""
],
[
"Cheng",
"Xueqi",
""
]
] | The expressive power of message passing GNNs is upper-bounded by Weisfeiler-Lehman (WL) test. To achieve high expressive GNNs beyond WL test, we propose a novel graph isomorphism test method, namely Twin-WL, which simultaneously passes node labels and node identities rather than only passes node label as WL. The identi... |
1806.05618 | Matteo Papini | Matteo Papini, Damiano Binaghi, Giuseppe Canonaco, Matteo Pirotta,
Marcello Restelli | Stochastic Variance-Reduced Policy Gradient | null | Proceedings of the 35 th International Conference on Machine
Learning, Stockholm, Sweden, PMLR 80, 2018 | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a novel reinforcement- learning algorithm
consisting in a stochastic variance-reduced version of policy gradient for
solving Markov Decision Processes (MDPs). Stochastic variance-reduced gradient
(SVRG) methods have proven to be very successful in supervised learning.
However, their adaptati... | [
{
"created": "Thu, 14 Jun 2018 15:49:13 GMT",
"version": "v1"
}
] | 2018-06-15 | [
[
"Papini",
"Matteo",
""
],
[
"Binaghi",
"Damiano",
""
],
[
"Canonaco",
"Giuseppe",
""
],
[
"Pirotta",
"Matteo",
""
],
[
"Restelli",
"Marcello",
""
]
] | In this paper, we propose a novel reinforcement- learning algorithm consisting in a stochastic variance-reduced version of policy gradient for solving Markov Decision Processes (MDPs). Stochastic variance-reduced gradient (SVRG) methods have proven to be very successful in supervised learning. However, their adaptation... |
1711.04141 | Giuseppe Caire | Andreas Benzin, Giuseppe Caire, Yonatan Shadmi, and Antonia Tulino | Truncated Polynomial Expansion Downlink Precoders and Uplink Detectors
for Massive MIMO | A shorter version of this paper without the tutorial-like appendices
has been submitted to IEEE Transactions on Wireless Communications | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In TDD reciprocity-based massive MIMO it is essential to be able to compute
the downlink precoding matrix over all OFDM resource blocks within a small
fraction of the uplink-downlink slot duration. Early implementation of massive
MIMO are limited to the simple Conjugate Beamforming (ConjBF) precoding method,
because ... | [
{
"created": "Sat, 11 Nov 2017 14:19:50 GMT",
"version": "v1"
}
] | 2017-11-15 | [
[
"Benzin",
"Andreas",
""
],
[
"Caire",
"Giuseppe",
""
],
[
"Shadmi",
"Yonatan",
""
],
[
"Tulino",
"Antonia",
""
]
] | In TDD reciprocity-based massive MIMO it is essential to be able to compute the downlink precoding matrix over all OFDM resource blocks within a small fraction of the uplink-downlink slot duration. Early implementation of massive MIMO are limited to the simple Conjugate Beamforming (ConjBF) precoding method, because of... |
2001.01619 | Federico Olimpieri | Federico Olimpieri | Normalization, Taylor expansion and rigid approximation of
$\lambda$-terms | null | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The aim of this work is to characterize three fundamental normalization
proprieties in lambda-calculus trough the Taylor expansion of $ \lambda$-terms.
The general proof strategy consists in stating the dependence of ordinary
reduction strategies on their resource counterparts and in finding a convenient
resource ter... | [
{
"created": "Mon, 6 Jan 2020 15:03:41 GMT",
"version": "v1"
}
] | 2020-01-07 | [
[
"Olimpieri",
"Federico",
""
]
] | The aim of this work is to characterize three fundamental normalization proprieties in lambda-calculus trough the Taylor expansion of $ \lambda$-terms. The general proof strategy consists in stating the dependence of ordinary reduction strategies on their resource counterparts and in finding a convenient resource term ... |
1805.10685 | Keet Sugathadasa Mr | Keet Sugathadasa, Buddhi Ayesha, Nisansa de Silva, Amal Shehan Perera,
Vindula Jayawardana, Dimuthu Lakmal, Madhavi Perera | Legal Document Retrieval using Document Vector Embeddings and Deep
Learning | null | null | null | null | cs.IR cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Domain specific information retrieval process has been a prominent and
ongoing research in the field of natural language processing. Many researchers
have incorporated different techniques to overcome the technical and domain
specificity and provide a mature model for various domains of interest. The
main bottleneck ... | [
{
"created": "Sun, 27 May 2018 20:55:50 GMT",
"version": "v1"
}
] | 2021-12-07 | [
[
"Sugathadasa",
"Keet",
""
],
[
"Ayesha",
"Buddhi",
""
],
[
"de Silva",
"Nisansa",
""
],
[
"Perera",
"Amal Shehan",
""
],
[
"Jayawardana",
"Vindula",
""
],
[
"Lakmal",
"Dimuthu",
""
],
[
"Perera",
"Madhavi",
... | Domain specific information retrieval process has been a prominent and ongoing research in the field of natural language processing. Many researchers have incorporated different techniques to overcome the technical and domain specificity and provide a mature model for various domains of interest. The main bottleneck in... |
1912.02318 | Adam Lerer | Adam Lerer, Hengyuan Hu, Jakob Foerster, Noam Brown | Improving Policies via Search in Cooperative Partially Observable Games | null | AAAI 2020 | null | null | cs.AI cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent superhuman results in games have largely been achieved in a variety of
zero-sum settings, such as Go and Poker, in which agents need to compete
against others. However, just like humans, real-world AI systems have to
coordinate and communicate with other agents in cooperative partially
observable environments ... | [
{
"created": "Thu, 5 Dec 2019 00:14:34 GMT",
"version": "v1"
}
] | 2019-12-06 | [
[
"Lerer",
"Adam",
""
],
[
"Hu",
"Hengyuan",
""
],
[
"Foerster",
"Jakob",
""
],
[
"Brown",
"Noam",
""
]
] | Recent superhuman results in games have largely been achieved in a variety of zero-sum settings, such as Go and Poker, in which agents need to compete against others. However, just like humans, real-world AI systems have to coordinate and communicate with other agents in cooperative partially observable environments as... |
1609.06404 | Suwon Shon | Suwon Shon, Seongkyu Mun, John H.L. Hansen, Hanseok Ko | KU-ISPL Language Recognition System for NIST 2015 i-Vector Machine
Learning Challenge | null | null | null | null | cs.SD cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In language recognition, the task of rejecting/differentiating closely spaced
versus acoustically far spaced languages remains a major challenge. For
confusable closely spaced languages, the system needs longer input test
duration material to obtain sufficient information to distinguish between
languages. Alternative... | [
{
"created": "Wed, 21 Sep 2016 02:14:23 GMT",
"version": "v1"
}
] | 2016-09-22 | [
[
"Shon",
"Suwon",
""
],
[
"Mun",
"Seongkyu",
""
],
[
"Hansen",
"John H. L.",
""
],
[
"Ko",
"Hanseok",
""
]
] | In language recognition, the task of rejecting/differentiating closely spaced versus acoustically far spaced languages remains a major challenge. For confusable closely spaced languages, the system needs longer input test duration material to obtain sufficient information to distinguish between languages. Alternatively... |
1910.07600 | Defeng Liu | Defeng Liu, Andrea Lodi, Mathieu Tanneau | Learning chordal extensions | Submitted to Journal of Global Optimization | null | null | null | cs.LG math.OC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A highly influential ingredient of many techniques designed to exploit
sparsity in numerical optimization is the so-called chordal extension of a
graph representation of the optimization problem. The definitive relation
between chordal extension and the performance of the optimization algorithm
that uses the extensio... | [
{
"created": "Wed, 16 Oct 2019 20:25:45 GMT",
"version": "v1"
}
] | 2019-10-18 | [
[
"Liu",
"Defeng",
""
],
[
"Lodi",
"Andrea",
""
],
[
"Tanneau",
"Mathieu",
""
]
] | A highly influential ingredient of many techniques designed to exploit sparsity in numerical optimization is the so-called chordal extension of a graph representation of the optimization problem. The definitive relation between chordal extension and the performance of the optimization algorithm that uses the extension ... |
1906.01891 | Florian Dubost | Florian Dubost, Hieab Adams, Pinar Yilmaz, Gerda Bortsova, Gijs van
Tulder, M. Arfan Ikram, Wiro Niessen, Meike Vernooij, Marleen de Bruijne | Weakly Supervised Object Detection with 2D and 3D Regression Neural
Networks | New formatting. A few changes in introduction, discussion and
conclusion | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Finding automatically multiple lesions in large images is a common problem in
medical image analysis. Solving this problem can be challenging if, during
optimization, the automated method cannot access information about the location
of the lesions nor is given single examples of the lesions. We propose a new
weakly s... | [
{
"created": "Wed, 5 Jun 2019 09:08:38 GMT",
"version": "v1"
},
{
"created": "Fri, 14 Jun 2019 15:44:55 GMT",
"version": "v2"
},
{
"created": "Wed, 2 Oct 2019 21:17:34 GMT",
"version": "v3"
},
{
"created": "Thu, 19 Mar 2020 18:30:35 GMT",
"version": "v4"
}
] | 2020-03-23 | [
[
"Dubost",
"Florian",
""
],
[
"Adams",
"Hieab",
""
],
[
"Yilmaz",
"Pinar",
""
],
[
"Bortsova",
"Gerda",
""
],
[
"van Tulder",
"Gijs",
""
],
[
"Ikram",
"M. Arfan",
""
],
[
"Niessen",
"Wiro",
""
],
[
"... | Finding automatically multiple lesions in large images is a common problem in medical image analysis. Solving this problem can be challenging if, during optimization, the automated method cannot access information about the location of the lesions nor is given single examples of the lesions. We propose a new weakly sup... |
2110.00060 | Noah Apthorpe | Xi Jiang, Noah Apthorpe | Automating Internet of Things Network Traffic Collection with Robotic
Arm Interactions | 10 pages, 5 figures, 3 tables; revised version for publication | null | null | null | cs.NI cs.CR cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Consumer Internet of things research often involves collecting network
traffic sent or received by IoT devices. These data are typically collected via
crowdsourcing or while researchers manually interact with IoT devices in a
laboratory setting. However, manual interactions and crowdsourcing are often
tedious, expens... | [
{
"created": "Thu, 30 Sep 2021 19:41:47 GMT",
"version": "v1"
},
{
"created": "Wed, 12 Oct 2022 14:17:16 GMT",
"version": "v2"
}
] | 2022-10-13 | [
[
"Jiang",
"Xi",
""
],
[
"Apthorpe",
"Noah",
""
]
] | Consumer Internet of things research often involves collecting network traffic sent or received by IoT devices. These data are typically collected via crowdsourcing or while researchers manually interact with IoT devices in a laboratory setting. However, manual interactions and crowdsourcing are often tedious, expensiv... |
2406.16508 | Sho Takase | Sho Takase, Ryokan Ri, Shun Kiyono, Takuya Kato | Large Vocabulary Size Improves Large Language Models | Work in progress | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper empirically investigates the relationship between subword
vocabulary size and the performance of large language models (LLMs) to provide
insights on how to define the vocabulary size. Experimental results show that
larger vocabulary sizes lead to better performance in LLMs. Moreover, we
consider a continua... | [
{
"created": "Mon, 24 Jun 2024 10:27:07 GMT",
"version": "v1"
}
] | 2024-06-25 | [
[
"Takase",
"Sho",
""
],
[
"Ri",
"Ryokan",
""
],
[
"Kiyono",
"Shun",
""
],
[
"Kato",
"Takuya",
""
]
] | This paper empirically investigates the relationship between subword vocabulary size and the performance of large language models (LLMs) to provide insights on how to define the vocabulary size. Experimental results show that larger vocabulary sizes lead to better performance in LLMs. Moreover, we consider a continual ... |
1107.1739 | Vladimir Lerner s | Vladimir S. Lerner | The entropy functional, the information path functional's essentials and
their connections to Kolmogorov's entropy, complexity and physics | null | null | null | null | cs.IT cs.SY math.IT math.OC math.ST stat.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The paper introduces the recent results related to an entropy functional on
trajectories of a controlled diffusion process, and the information path
functional (IPF), analyzing their connections to the Kolmogorov's entropy,
complexity and the Lyapunov's characteristics. Considering the IPF's essentials
and specifics,... | [
{
"created": "Fri, 8 Jul 2011 21:48:19 GMT",
"version": "v1"
}
] | 2011-07-12 | [
[
"Lerner",
"Vladimir S.",
""
]
] | The paper introduces the recent results related to an entropy functional on trajectories of a controlled diffusion process, and the information path functional (IPF), analyzing their connections to the Kolmogorov's entropy, complexity and the Lyapunov's characteristics. Considering the IPF's essentials and specifics, t... |
1911.04139 | Yu Guan | Yu Guan, Chengyuan Zheng, Zongming Guo, Xinggong Zhang, Junchen Jiang | Pano: Optimizing 360{\deg} Video Streaming with a Better Understanding
of Quality Perception | 16 pages, 18 figures, Sigcomm conference | null | null | null | cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Streaming 360{\deg} videos requires more bandwidth than non-360{\deg} videos.
This is because current solutions assume that users perceive the quality of
360{\deg} videos in the same way they perceive the quality of non-360{\deg}
videos. This means the bandwidth demand must be proportional to the size of the
user's f... | [
{
"created": "Mon, 11 Nov 2019 08:50:41 GMT",
"version": "v1"
}
] | 2019-11-12 | [
[
"Guan",
"Yu",
""
],
[
"Zheng",
"Chengyuan",
""
],
[
"Guo",
"Zongming",
""
],
[
"Zhang",
"Xinggong",
""
],
[
"Jiang",
"Junchen",
""
]
] | Streaming 360{\deg} videos requires more bandwidth than non-360{\deg} videos. This is because current solutions assume that users perceive the quality of 360{\deg} videos in the same way they perceive the quality of non-360{\deg} videos. This means the bandwidth demand must be proportional to the size of the user's fie... |
2206.15065 | Chenghong Bian | Chenghong Bian, Chin-Wei Hsu, Changwoo Lee, Hun-Seok Kim | Learning-Based Near-Orthogonal Superposition Code for MIMO Short Message
Transmission | submitted for possible journal publication | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Massive machine type communication (mMTC) has attracted new coding schemes
optimized for reliable short message transmission. In this paper, a novel deep
learning-based near-orthogonal superposition (NOS) coding scheme is proposed to
transmit short messages in multiple-input multiple-output (MIMO) channels for
mMTC a... | [
{
"created": "Thu, 30 Jun 2022 06:59:13 GMT",
"version": "v1"
}
] | 2022-07-01 | [
[
"Bian",
"Chenghong",
""
],
[
"Hsu",
"Chin-Wei",
""
],
[
"Lee",
"Changwoo",
""
],
[
"Kim",
"Hun-Seok",
""
]
] | Massive machine type communication (mMTC) has attracted new coding schemes optimized for reliable short message transmission. In this paper, a novel deep learning-based near-orthogonal superposition (NOS) coding scheme is proposed to transmit short messages in multiple-input multiple-output (MIMO) channels for mMTC app... |
1909.00573 | Johannes Jendersie | Johannes Jendersie | Next Event Backtracking | 25 pages, octree source code included | null | null | null | cs.GR | http://creativecommons.org/licenses/by/4.0/ | In light transport simulation, challenging situations are caused by the
variety of materials and the relative length of path segments. Path Tracing can
handle many situations and scales well to parallel hardware. However, it is not
able to produce paths which have a smooth surface in connection with a small
light sou... | [
{
"created": "Mon, 2 Sep 2019 07:16:53 GMT",
"version": "v1"
}
] | 2019-09-04 | [
[
"Jendersie",
"Johannes",
""
]
] | In light transport simulation, challenging situations are caused by the variety of materials and the relative length of path segments. Path Tracing can handle many situations and scales well to parallel hardware. However, it is not able to produce paths which have a smooth surface in connection with a small light sourc... |
1510.04796 | Sumit Mishra | Sumit Mishra, Samrat Mondal and Sriparna Saha | Improved Solution to the Non-Domination Level Update Problem | 18 pages and 6 figures | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Non-domination level update problem is to sort the non-dominated fronts after
insertion or deletion of a solution. Generally the solution to this problem
requires to perform the complete non-dominated sorting which is too expensive
in terms of number of comparisons. Recently an Efficient Non-domination Level
Update (... | [
{
"created": "Fri, 16 Oct 2015 06:53:19 GMT",
"version": "v1"
}
] | 2015-10-19 | [
[
"Mishra",
"Sumit",
""
],
[
"Mondal",
"Samrat",
""
],
[
"Saha",
"Sriparna",
""
]
] | Non-domination level update problem is to sort the non-dominated fronts after insertion or deletion of a solution. Generally the solution to this problem requires to perform the complete non-dominated sorting which is too expensive in terms of number of comparisons. Recently an Efficient Non-domination Level Update (EN... |
2301.10395 | Muneeb Ul Hassan | Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen | Huff-DP: Huffman Coding based Differential Privacy Mechanism for
Real-Time Data | Submitted to Venue | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the advancements in connected devices, a huge amount of real-time data
is being generated. Efficient storage, transmission, and analysation of this
real-time big data is important, as it serves a number of purposes ranging from
decision making to fault prediction, etc. Alongside this, real-time big data
has rigo... | [
{
"created": "Wed, 25 Jan 2023 03:24:21 GMT",
"version": "v1"
}
] | 2023-01-26 | [
[
"Hassan",
"Muneeb Ul",
""
],
[
"Rehmani",
"Mubashir Husain",
""
],
[
"Chen",
"Jinjun",
""
]
] | With the advancements in connected devices, a huge amount of real-time data is being generated. Efficient storage, transmission, and analysation of this real-time big data is important, as it serves a number of purposes ranging from decision making to fault prediction, etc. Alongside this, real-time big data has rigoro... |
2402.08320 | Ioan-Adrian Cosma Mr. | Andy C\u{a}trun\u{a}, Adrian Cosma, Emilian R\u{a}doi | The Paradox of Motion: Evidence for Spurious Correlations in
Skeleton-based Gait Recognition Models | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Gait, an unobtrusive biometric, is valued for its capability to identify
individuals at a distance, across external outfits and environmental
conditions. This study challenges the prevailing assumption that vision-based
gait recognition, in particular skeleton-based gait recognition, relies
primarily on motion patter... | [
{
"created": "Tue, 13 Feb 2024 09:33:12 GMT",
"version": "v1"
}
] | 2024-02-14 | [
[
"Cătrună",
"Andy",
""
],
[
"Cosma",
"Adrian",
""
],
[
"Rădoi",
"Emilian",
""
]
] | Gait, an unobtrusive biometric, is valued for its capability to identify individuals at a distance, across external outfits and environmental conditions. This study challenges the prevailing assumption that vision-based gait recognition, in particular skeleton-based gait recognition, relies primarily on motion patterns... |
1707.02842 | Na-Young Ahn | Na-Young Ahn and Dong Hoon Lee | Duty to Delete on Non-Volatile Memory | 3 pages, 8 figures | null | 10.8080/1020190046820 | CPS-2017-0088 | cs.OH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We firstly suggest new cache policy applying the duty to delete invalid cache
data on Non-volatile Memory (NVM). This cache policy includes generating random
data and overwriting the random data into invalid cache data. Proposed cache
policy is more economical and effective regarding perfect deletion of data. It
is e... | [
{
"created": "Fri, 7 Jul 2017 15:44:11 GMT",
"version": "v1"
}
] | 2020-11-20 | [
[
"Ahn",
"Na-Young",
""
],
[
"Lee",
"Dong Hoon",
""
]
] | We firstly suggest new cache policy applying the duty to delete invalid cache data on Non-volatile Memory (NVM). This cache policy includes generating random data and overwriting the random data into invalid cache data. Proposed cache policy is more economical and effective regarding perfect deletion of data. It is ens... |
2006.12439 | Josep L. Rossello | Christiam F. Frasser, Pablo Linares-Serrano, V. Canals, Miquel Roca,
T. Serrano-Gotarredona, Josep L. Rossello | Fully-parallel Convolutional Neural Network Hardware | 8 pages, 6 figures, to be submitted to an IEEE journal | null | null | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A new trans-disciplinary knowledge area, Edge Artificial Intelligence or Edge
Intelligence, is beginning to receive a tremendous amount of interest from the
machine learning community due to the ever increasing popularization of the
Internet of Things (IoT). Unfortunately, the incorporation of AI
characteristics to e... | [
{
"created": "Mon, 22 Jun 2020 17:19:09 GMT",
"version": "v1"
}
] | 2020-06-23 | [
[
"Frasser",
"Christiam F.",
""
],
[
"Linares-Serrano",
"Pablo",
""
],
[
"Canals",
"V.",
""
],
[
"Roca",
"Miquel",
""
],
[
"Serrano-Gotarredona",
"T.",
""
],
[
"Rossello",
"Josep L.",
""
]
] | A new trans-disciplinary knowledge area, Edge Artificial Intelligence or Edge Intelligence, is beginning to receive a tremendous amount of interest from the machine learning community due to the ever increasing popularization of the Internet of Things (IoT). Unfortunately, the incorporation of AI characteristics to edg... |
2111.00038 | Valentin Bazarevsky | George Sung, Kanstantsin Sokal, Esha Uboweja, Valentin Bazarevsky,
Jonathan Baccash, Eduard Gabriel Bazavan, Chuo-Ling Chang, Matthias Grundmann | On-device Real-time Hand Gesture Recognition | 5 pages, 6 figures; ICCV Workshop on Computer Vision for Augmented
and Virtual Reality, Montreal, Canada, 2021 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | We present an on-device real-time hand gesture recognition (HGR) system,
which detects a set of predefined static gestures from a single RGB camera. The
system consists of two parts: a hand skeleton tracker and a gesture classifier.
We use MediaPipe Hands as the basis of the hand skeleton tracker, improve the
keypoin... | [
{
"created": "Fri, 29 Oct 2021 18:33:25 GMT",
"version": "v1"
}
] | 2021-11-02 | [
[
"Sung",
"George",
""
],
[
"Sokal",
"Kanstantsin",
""
],
[
"Uboweja",
"Esha",
""
],
[
"Bazarevsky",
"Valentin",
""
],
[
"Baccash",
"Jonathan",
""
],
[
"Bazavan",
"Eduard Gabriel",
""
],
[
"Chang",
"Chuo-Ling",
... | We present an on-device real-time hand gesture recognition (HGR) system, which detects a set of predefined static gestures from a single RGB camera. The system consists of two parts: a hand skeleton tracker and a gesture classifier. We use MediaPipe Hands as the basis of the hand skeleton tracker, improve the keypoint ... |
2403.10521 | Zhou Jiang | Zhou Jiang, Zhenxin Zhu, Pengfei Li, Huan-ang Gao, Tianyuan Yuan,
Yongliang Shi, Hang Zhao, Hao Zhao | P-MapNet: Far-seeing Map Generator Enhanced by both SDMap and HDMap
Priors | Code: https://jike5.github.io/P-MapNet | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Autonomous vehicles are gradually entering city roads today, with the help of
high-definition maps (HDMaps). However, the reliance on HDMaps prevents
autonomous vehicles from stepping into regions without this expensive digital
infrastructure. This fact drives many researchers to study online HDMap
generation algorit... | [
{
"created": "Fri, 15 Mar 2024 17:59:53 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Mar 2024 14:54:14 GMT",
"version": "v2"
},
{
"created": "Fri, 29 Mar 2024 04:21:27 GMT",
"version": "v3"
}
] | 2024-04-01 | [
[
"Jiang",
"Zhou",
""
],
[
"Zhu",
"Zhenxin",
""
],
[
"Li",
"Pengfei",
""
],
[
"Gao",
"Huan-ang",
""
],
[
"Yuan",
"Tianyuan",
""
],
[
"Shi",
"Yongliang",
""
],
[
"Zhao",
"Hang",
""
],
[
"Zhao",
"Ha... | Autonomous vehicles are gradually entering city roads today, with the help of high-definition maps (HDMaps). However, the reliance on HDMaps prevents autonomous vehicles from stepping into regions without this expensive digital infrastructure. This fact drives many researchers to study online HDMap generation algorithm... |
2010.07988 | Harish Tayyar Madabushi PhD | Calum Perrio and Harish Tayyar Madabushi | CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets --
RoBERTa Ensembles and The Continued Relevance of Handcrafted Features | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents our submission to Task 2 of the Workshop on Noisy
User-generated Text. We explore improving the performance of a pre-trained
transformer-based language model fine-tuned for text classification through an
ensemble implementation that makes use of corpus level information and a
handcrafted feature. ... | [
{
"created": "Thu, 15 Oct 2020 19:12:52 GMT",
"version": "v1"
}
] | 2020-10-19 | [
[
"Perrio",
"Calum",
""
],
[
"Madabushi",
"Harish Tayyar",
""
]
] | This paper presents our submission to Task 2 of the Workshop on Noisy User-generated Text. We explore improving the performance of a pre-trained transformer-based language model fine-tuned for text classification through an ensemble implementation that makes use of corpus level information and a handcrafted feature. We... |
1912.10080 | Tiago Alves | Tiago Alves, Alberto Laender, Adriano Veloso, Nivio Ziviani | Dynamic Prediction of ICU Mortality Risk Using Domain Adaptation | null | 2018 IEEE International Conference on Big Data | 10.1109/BigData.2018.8621927 | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Early recognition of risky trajectories during an Intensive Care Unit (ICU)
stay is one of the key steps towards improving patient survival. Learning
trajectories from physiological signals continuously measured during an ICU
stay requires learning time-series features that are robust and discriminative
across divers... | [
{
"created": "Fri, 20 Dec 2019 19:59:22 GMT",
"version": "v1"
}
] | 2019-12-24 | [
[
"Alves",
"Tiago",
""
],
[
"Laender",
"Alberto",
""
],
[
"Veloso",
"Adriano",
""
],
[
"Ziviani",
"Nivio",
""
]
] | Early recognition of risky trajectories during an Intensive Care Unit (ICU) stay is one of the key steps towards improving patient survival. Learning trajectories from physiological signals continuously measured during an ICU stay requires learning time-series features that are robust and discriminative across diverse ... |
2211.01980 | Luca Beurer-Kellner | Luca Beurer-Kellner, Martin Vechev, Laurent Vanbever, Petar
Veli\v{c}kovi\'c | Learning to Configure Computer Networks with Neural Algorithmic
Reasoning | null | null | null | null | cs.NI cs.LG | http://creativecommons.org/licenses/by/4.0/ | We present a new method for scaling automatic configuration of computer
networks. The key idea is to relax the computationally hard search problem of
finding a configuration that satisfies a given specification into an
approximate objective amenable to learning-based techniques. Based on this
idea, we train a neural ... | [
{
"created": "Wed, 26 Oct 2022 13:37:00 GMT",
"version": "v1"
}
] | 2022-11-04 | [
[
"Beurer-Kellner",
"Luca",
""
],
[
"Vechev",
"Martin",
""
],
[
"Vanbever",
"Laurent",
""
],
[
"Veličković",
"Petar",
""
]
] | We present a new method for scaling automatic configuration of computer networks. The key idea is to relax the computationally hard search problem of finding a configuration that satisfies a given specification into an approximate objective amenable to learning-based techniques. Based on this idea, we train a neural al... |
2105.10036 | Rogier van de Wetering | Rogier van de Wetering | Dynamic enterprise architecture capabilities and organizational
benefits: an empirical mediation study | 13 pages, 1 figure, 3 tables. Proceedings of Twenty-Eighth European
Conference on Information Systems (ECIS2020), Marrakesh, Morocco | null | null | null | cs.CY | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In recent years the literature has put a greater emphasis on theory building
in the context of Enterprise Architecture, EA, research. Specifically, scholars
tend to focus on EA-based capabilities that organize and deploy
organization-specific resources to align strategic objectives with the
particular use of technolo... | [
{
"created": "Tue, 18 May 2021 10:07:31 GMT",
"version": "v1"
}
] | 2021-05-24 | [
[
"van de Wetering",
"Rogier",
""
]
] | In recent years the literature has put a greater emphasis on theory building in the context of Enterprise Architecture, EA, research. Specifically, scholars tend to focus on EA-based capabilities that organize and deploy organization-specific resources to align strategic objectives with the particular use of technology... |
2101.06223 | Yuhuai(Tony) Wu | Yuhuai Wu, Markus Rabe, Wenda Li, Jimmy Ba, Roger Grosse, Christian
Szegedy | LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning | Published as a conference paper at ICML 2021 (16 pages) | null | null | null | cs.LG cs.AI cs.LO | http://creativecommons.org/licenses/by/4.0/ | While designing inductive bias in neural architectures has been widely
studied, we hypothesize that transformer networks are flexible enough to learn
inductive bias from suitable generic tasks. Here, we replace architecture
engineering by encoding inductive bias in the form of datasets. Inspired by
Peirce's view that... | [
{
"created": "Fri, 15 Jan 2021 17:15:24 GMT",
"version": "v1"
},
{
"created": "Wed, 16 Mar 2022 02:25:40 GMT",
"version": "v2"
}
] | 2022-03-17 | [
[
"Wu",
"Yuhuai",
""
],
[
"Rabe",
"Markus",
""
],
[
"Li",
"Wenda",
""
],
[
"Ba",
"Jimmy",
""
],
[
"Grosse",
"Roger",
""
],
[
"Szegedy",
"Christian",
""
]
] | While designing inductive bias in neural architectures has been widely studied, we hypothesize that transformer networks are flexible enough to learn inductive bias from suitable generic tasks. Here, we replace architecture engineering by encoding inductive bias in the form of datasets. Inspired by Peirce's view that d... |
2405.16081 | Ningzhi Tang | Ningzhi Tang, Meng Chen, Zheng Ning, Aakash Bansal, Yu Huang, Collin
McMillan, Toby Jia-Jun Li | A Study on Developer Behaviors for Validating and Repairing
LLM-Generated Code Using Eye Tracking and IDE Actions | null | null | null | null | cs.SE cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The increasing use of large language model (LLM)-powered code generation
tools, such as GitHub Copilot, is transforming software engineering practices.
This paper investigates how developers validate and repair code generated by
Copilot and examines the impact of code provenance awareness during these
processes. We c... | [
{
"created": "Sat, 25 May 2024 06:20:01 GMT",
"version": "v1"
}
] | 2024-05-28 | [
[
"Tang",
"Ningzhi",
""
],
[
"Chen",
"Meng",
""
],
[
"Ning",
"Zheng",
""
],
[
"Bansal",
"Aakash",
""
],
[
"Huang",
"Yu",
""
],
[
"McMillan",
"Collin",
""
],
[
"Li",
"Toby Jia-Jun",
""
]
] | The increasing use of large language model (LLM)-powered code generation tools, such as GitHub Copilot, is transforming software engineering practices. This paper investigates how developers validate and repair code generated by Copilot and examines the impact of code provenance awareness during these processes. We con... |
2109.04817 | Anna Wegmann | Anna Wegmann and Dong Nguyen | Does It Capture STEL? A Modular, Similarity-based Linguistic Style
Evaluation Framework | Accepted at EMNLP2021 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Style is an integral part of natural language. However, evaluation methods
for style measures are rare, often task-specific and usually do not control for
content. We propose the modular, fine-grained and content-controlled
similarity-based STyle EvaLuation framework (STEL) to test the performance of
any model that c... | [
{
"created": "Fri, 10 Sep 2021 12:03:19 GMT",
"version": "v1"
}
] | 2021-09-13 | [
[
"Wegmann",
"Anna",
""
],
[
"Nguyen",
"Dong",
""
]
] | Style is an integral part of natural language. However, evaluation methods for style measures are rare, often task-specific and usually do not control for content. We propose the modular, fine-grained and content-controlled similarity-based STyle EvaLuation framework (STEL) to test the performance of any model that can... |
2203.03957 | Thierry Val | Sihem Tlili, Sami Mnasri, Thierry Val (IRIT-RMESS) | The Internet of Things enabling communication technologies, applications
and challenges: a survey | null | International Journal of Wireless and Mobile Computing,
Inderscience, In press | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, the IoT has gained great importance, which results in the evolution
of communication technologies to meet the needs of different IoT applications.
In addition, several domains integrate the IoT technologies in several
applications of our professional life and daily activities. However, the IoT
still present... | [
{
"created": "Tue, 8 Mar 2022 09:31:46 GMT",
"version": "v1"
}
] | 2022-03-09 | [
[
"Tlili",
"Sihem",
"",
"IRIT-RMESS"
],
[
"Mnasri",
"Sami",
"",
"IRIT-RMESS"
],
[
"Val",
"Thierry",
"",
"IRIT-RMESS"
]
] | Recently, the IoT has gained great importance, which results in the evolution of communication technologies to meet the needs of different IoT applications. In addition, several domains integrate the IoT technologies in several applications of our professional life and daily activities. However, the IoT still presents ... |
2110.06790 | Vincent Padois | Antun Skuric (AUCTUS), Vincent Padois (AUCTUS), Nasser Rezzoug (UTLN,
AUCTUS), David Daney (AUCTUS) | On-line feasible wrench polytope evaluation based on human
musculoskeletal models: an iterative convex hull method | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many recent human-robot collaboration strategies, such as Assist-As-Needed
(AAN), are promoting humancentered robot control, where the robot continuously
adapts its assistance level based on the real-time need of its human
counterpart. One of the fundamental assumptions of these approaches is the
ability to measure o... | [
{
"created": "Wed, 13 Oct 2021 15:23:42 GMT",
"version": "v1"
}
] | 2021-10-14 | [
[
"Skuric",
"Antun",
"",
"AUCTUS"
],
[
"Padois",
"Vincent",
"",
"AUCTUS"
],
[
"Rezzoug",
"Nasser",
"",
"UTLN,\n AUCTUS"
],
[
"Daney",
"David",
"",
"AUCTUS"
]
] | Many recent human-robot collaboration strategies, such as Assist-As-Needed (AAN), are promoting humancentered robot control, where the robot continuously adapts its assistance level based on the real-time need of its human counterpart. One of the fundamental assumptions of these approaches is the ability to measure or ... |
2309.12345 | Lu\'is Arandas | Lu\'is Arandas, Mick Grierson and Miguel Carvalhais | Antagonising explanation and revealing bias directly through sequencing
and multimodal inference | 3 pages, no figures. ACM C&C 23 Workshop paper | null | null | null | cs.HC cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Deep generative models produce data according to a learned representation,
e.g. diffusion models, through a process of approximation computing possible
samples. Approximation can be understood as reconstruction and the large
datasets used to train models as sets of records in which we represent the
physical world wit... | [
{
"created": "Fri, 25 Aug 2023 22:51:00 GMT",
"version": "v1"
}
] | 2023-09-25 | [
[
"Arandas",
"Luís",
""
],
[
"Grierson",
"Mick",
""
],
[
"Carvalhais",
"Miguel",
""
]
] | Deep generative models produce data according to a learned representation, e.g. diffusion models, through a process of approximation computing possible samples. Approximation can be understood as reconstruction and the large datasets used to train models as sets of records in which we represent the physical world with ... |
2206.11411 | Sergiy Koshkin | Sergiy Koshkin and Daniel Rodriguez | Linear recurrent cryptography: golden-like cryptography for higher order
linear recurrences | 27 pages, 1 figure | Discrete Mathematics, Algorithms and Applications, 2022 | 10.1142/S179383092250094X | null | cs.CR cs.DM math.NT math.SP | http://creativecommons.org/licenses/by/4.0/ | We develop matrix cryptography based on linear recurrent sequences of any
order that allows securing encryption against brute force and chosen plaintext
attacks. In particular, we solve the problem of generalizing error detection
and correction algorithms of golden cryptography previously known only for
recurrences o... | [
{
"created": "Wed, 22 Jun 2022 22:38:15 GMT",
"version": "v1"
}
] | 2022-06-24 | [
[
"Koshkin",
"Sergiy",
""
],
[
"Rodriguez",
"Daniel",
""
]
] | We develop matrix cryptography based on linear recurrent sequences of any order that allows securing encryption against brute force and chosen plaintext attacks. In particular, we solve the problem of generalizing error detection and correction algorithms of golden cryptography previously known only for recurrences of ... |
1906.03364 | Dheeraj Baby | Dheeraj Baby and Yu-Xiang Wang | Online Forecasting of Total-Variation-bounded Sequences | To appear in NeurIPS 2019 | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | We consider the problem of online forecasting of sequences of length $n$ with
total-variation at most $C_n$ using observations contaminated by independent
$\sigma$-subgaussian noise. We design an $O(n\log n)$-time algorithm that
achieves a cumulative square error of $\tilde{O}(n^{1/3}C_n^{2/3}\sigma^{4/3} +
C_n^2)$ w... | [
{
"created": "Sat, 8 Jun 2019 00:48:26 GMT",
"version": "v1"
},
{
"created": "Sat, 26 Oct 2019 21:55:22 GMT",
"version": "v2"
}
] | 2019-10-29 | [
[
"Baby",
"Dheeraj",
""
],
[
"Wang",
"Yu-Xiang",
""
]
] | We consider the problem of online forecasting of sequences of length $n$ with total-variation at most $C_n$ using observations contaminated by independent $\sigma$-subgaussian noise. We design an $O(n\log n)$-time algorithm that achieves a cumulative square error of $\tilde{O}(n^{1/3}C_n^{2/3}\sigma^{4/3} + C_n^2)$ wit... |
2406.17767 | Sebastian Perez-Salazar | Johannes Brustle, Sebastian Perez-Salazar, Victor Verdugo | Splitting Guarantees for Prophet Inequalities via Nonlinear Systems | null | null | null | null | cs.GT math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The prophet inequality is one of the cornerstone problems in optimal stopping
theory and has become a crucial tool for designing sequential algorithms in
Bayesian settings. In the i.i.d. $k$-selection prophet inequality problem, we
sequentially observe $n$ non-negative random values sampled from a known
distribution.... | [
{
"created": "Tue, 25 Jun 2024 17:49:59 GMT",
"version": "v1"
}
] | 2024-06-26 | [
[
"Brustle",
"Johannes",
""
],
[
"Perez-Salazar",
"Sebastian",
""
],
[
"Verdugo",
"Victor",
""
]
] | The prophet inequality is one of the cornerstone problems in optimal stopping theory and has become a crucial tool for designing sequential algorithms in Bayesian settings. In the i.i.d. $k$-selection prophet inequality problem, we sequentially observe $n$ non-negative random values sampled from a known distribution. E... |
cs/0406050 | Andrea Montanari | Abdelaziz Amraoui, Andrea Montanari, Tom Richardson, Ruediger Urbanke | Finite-Length Scaling for Iteratively Decoded LDPC Ensembles | 45 pages, 14 figures | null | null | null | cs.IT cond-mat.dis-nn cs.DM math.IT | null | In this paper we investigate the behavior of iteratively decoded low-density
parity-check codes over the binary erasure channel in the so-called ``waterfall
region." We show that the performance curves in this region follow a very basic
scaling law. We conjecture that essentially the same scaling behavior applies
in ... | [
{
"created": "Sat, 26 Jun 2004 11:52:17 GMT",
"version": "v1"
}
] | 2007-07-13 | [
[
"Amraoui",
"Abdelaziz",
""
],
[
"Montanari",
"Andrea",
""
],
[
"Richardson",
"Tom",
""
],
[
"Urbanke",
"Ruediger",
""
]
] | In this paper we investigate the behavior of iteratively decoded low-density parity-check codes over the binary erasure channel in the so-called ``waterfall region." We show that the performance curves in this region follow a very basic scaling law. We conjecture that essentially the same scaling behavior applies in a ... |
1707.05848 | Amelia Harrison | Amelia Harrison, Vladimir Lifschitz, and Dhananjay Raju | Program Completionin the Input Language of GRINGO | Paper presented at the 33nd International Conference on Logic
Programming (ICLP 2017), Melbourne, Australia, August 28 to September 1, 2017
16 pages, LaTeX, 3 PDF figures (arXiv:YYMM.NNNNN) | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We argue that turning a logic program into a set of completed definitions can
be sometimes thought of as the "reverse engineering" process of generating a
set of conditions that could serve as a specification for it. Accordingly, it
may be useful to define completion for a large class of ASP programs and to
automate ... | [
{
"created": "Tue, 18 Jul 2017 20:34:36 GMT",
"version": "v1"
},
{
"created": "Thu, 2 Nov 2017 20:14:51 GMT",
"version": "v2"
}
] | 2017-11-06 | [
[
"Harrison",
"Amelia",
""
],
[
"Lifschitz",
"Vladimir",
""
],
[
"Raju",
"Dhananjay",
""
]
] | We argue that turning a logic program into a set of completed definitions can be sometimes thought of as the "reverse engineering" process of generating a set of conditions that could serve as a specification for it. Accordingly, it may be useful to define completion for a large class of ASP programs and to automate th... |
2305.06474 | Wang-Cheng Kang | Wang-Cheng Kang, Jianmo Ni, Nikhil Mehta, Maheswaran Sathiamoorthy,
Lichan Hong, Ed Chi, Derek Zhiyuan Cheng | Do LLMs Understand User Preferences? Evaluating LLMs On User Rating
Prediction | null | null | null | null | cs.IR cs.LG | http://creativecommons.org/licenses/by/4.0/ | Large Language Models (LLMs) have demonstrated exceptional capabilities in
generalizing to new tasks in a zero-shot or few-shot manner. However, the
extent to which LLMs can comprehend user preferences based on their previous
behavior remains an emerging and still unclear research question.
Traditionally, Collaborati... | [
{
"created": "Wed, 10 May 2023 21:43:42 GMT",
"version": "v1"
}
] | 2023-05-12 | [
[
"Kang",
"Wang-Cheng",
""
],
[
"Ni",
"Jianmo",
""
],
[
"Mehta",
"Nikhil",
""
],
[
"Sathiamoorthy",
"Maheswaran",
""
],
[
"Hong",
"Lichan",
""
],
[
"Chi",
"Ed",
""
],
[
"Cheng",
"Derek Zhiyuan",
""
]
] | Large Language Models (LLMs) have demonstrated exceptional capabilities in generalizing to new tasks in a zero-shot or few-shot manner. However, the extent to which LLMs can comprehend user preferences based on their previous behavior remains an emerging and still unclear research question. Traditionally, Collaborative... |
2302.11730 | Ziheng Li | Ziheng Li, Shibo Jie, and Zhi-Hong Deng | Detachedly Learn a Classifier for Class-Incremental Learning | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | In continual learning, model needs to continually learn a feature extractor
and classifier on a sequence of tasks. This paper focuses on how to learn a
classifier based on a pretrained feature extractor under continual learning
setting. We present an probabilistic analysis that the failure of vanilla
experience repla... | [
{
"created": "Thu, 23 Feb 2023 01:35:44 GMT",
"version": "v1"
}
] | 2023-02-24 | [
[
"Li",
"Ziheng",
""
],
[
"Jie",
"Shibo",
""
],
[
"Deng",
"Zhi-Hong",
""
]
] | In continual learning, model needs to continually learn a feature extractor and classifier on a sequence of tasks. This paper focuses on how to learn a classifier based on a pretrained feature extractor under continual learning setting. We present an probabilistic analysis that the failure of vanilla experience replay ... |
2210.10176 | Jialin Wu | Jialin Wu and Raymond J. Mooney | Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual
Question Answering | EMNLP 2022 | null | null | null | cs.CL cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most Outside-Knowledge Visual Question Answering (OK-VQA) systems employ a
two-stage framework that first retrieves external knowledge given the visual
question and then predicts the answer based on the retrieved content. However,
the retrieved knowledge is often inadequate. Retrievals are frequently too
general and ... | [
{
"created": "Tue, 18 Oct 2022 21:39:24 GMT",
"version": "v1"
},
{
"created": "Thu, 20 Oct 2022 20:48:49 GMT",
"version": "v2"
}
] | 2022-10-24 | [
[
"Wu",
"Jialin",
""
],
[
"Mooney",
"Raymond J.",
""
]
] | Most Outside-Knowledge Visual Question Answering (OK-VQA) systems employ a two-stage framework that first retrieves external knowledge given the visual question and then predicts the answer based on the retrieved content. However, the retrieved knowledge is often inadequate. Retrievals are frequently too general and fa... |
2402.00370 | Ewa Zegler-Poleska | Agnieszka Olechnicka, Adam Ploszaj, Ewa Zegler-Poleska | Virtual academic conferencing: a scoping review of 1984-2021 literature.
Novel modalities vs. long standing challenges in scholarly communication | 37 pages, 1 figure. Updated to match journal version | Iberoamerican Journal of Science Measurement and Communication,
Vol. 4 No. 1 (2024) | 10.47909/ijsmc.93 | null | cs.DL cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This study reviews the literature on virtual academic conferences, which have
gained significant attention due to the COVID-19 pandemic. We conducted a
scoping review, analyzing 147 documents available up to October 5th, 2021. We
categorized this literature, identified main themes, examined theoretical
approaches, ev... | [
{
"created": "Thu, 1 Feb 2024 06:17:10 GMT",
"version": "v1"
},
{
"created": "Tue, 18 Jun 2024 21:32:18 GMT",
"version": "v2"
}
] | 2024-06-21 | [
[
"Olechnicka",
"Agnieszka",
""
],
[
"Ploszaj",
"Adam",
""
],
[
"Zegler-Poleska",
"Ewa",
""
]
] | This study reviews the literature on virtual academic conferences, which have gained significant attention due to the COVID-19 pandemic. We conducted a scoping review, analyzing 147 documents available up to October 5th, 2021. We categorized this literature, identified main themes, examined theoretical approaches, eval... |
1905.08988 | Damien Vurpillot | Damien Vurpillot (CESR), Perrine Pittet (CESR), Johann Forte (CESR),
Benoist Pierre (CESR) | From heterogeneous data to heterogeneous public: thoughts on transmedia
applications for digital heritage research and dissemination | Computer Applications and quantitative methods in Archaeology 2019:
Check Object Integrity, Apr 2019, Cracovie, Poland | null | null | null | cs.HC cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, we have seen a tenfold increase in volume and complexity of
digital data acquired for cultural heritage documentation. Meanwhile, open data
and open science have become leading trends in digital humanities. The
convergence of those two parameters compels us to deliver, in an interoperable
fashion, da... | [
{
"created": "Wed, 22 May 2019 07:07:34 GMT",
"version": "v1"
}
] | 2019-05-23 | [
[
"Vurpillot",
"Damien",
"",
"CESR"
],
[
"Pittet",
"Perrine",
"",
"CESR"
],
[
"Forte",
"Johann",
"",
"CESR"
],
[
"Pierre",
"Benoist",
"",
"CESR"
]
] | In recent years, we have seen a tenfold increase in volume and complexity of digital data acquired for cultural heritage documentation. Meanwhile, open data and open science have become leading trends in digital humanities. The convergence of those two parameters compels us to deliver, in an interoperable fashion, data... |
1909.06133 | Andrea Barraza | Andrea Barraza-Urbina and Mathieu d'Aquin | Towards Sharing Task Environments to Support Reproducible Evaluations of
Interactive Recommender Systems | Included in the Offline Evaluation for Recommender Systems Workshop
(REVEAL'19), collocated with ACM RecSys 2019. REVEAL'19, September 20th,
2019, Copenhagen, Denmark | null | null | null | cs.IR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Beyond sharing datasets or simulations, we believe the Recommender Systems
(RS) community should share Task Environments. In this work, we propose a
high-level logical architecture that will help to reason about the core
components of a RS Task Environment, identify the differences between
Environments, datasets and ... | [
{
"created": "Fri, 13 Sep 2019 10:52:30 GMT",
"version": "v1"
},
{
"created": "Mon, 16 Sep 2019 09:57:55 GMT",
"version": "v2"
}
] | 2019-09-17 | [
[
"Barraza-Urbina",
"Andrea",
""
],
[
"d'Aquin",
"Mathieu",
""
]
] | Beyond sharing datasets or simulations, we believe the Recommender Systems (RS) community should share Task Environments. In this work, we propose a high-level logical architecture that will help to reason about the core components of a RS Task Environment, identify the differences between Environments, datasets and si... |
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