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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2110.07774 | Amelia Regan | Hesam Sahfienya and Amelia C. Regan | 4D flight trajectory prediction using a hybrid Deep Learning prediction
method based on ADS-B technology: a case study of Hartsfield-Jackson Atlanta
International Airport(ATL) | 17 pages, 10 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The core of any flight schedule is the trajectories. In particular, 4D
trajectories are the most crucial component for flight attribute prediction. In
particular, 4D trajectories are the most crucial component for flight attribute
prediction. Each trajectory contains spatial and temporal features that are
associated ... | [
{
"created": "Thu, 14 Oct 2021 23:48:44 GMT",
"version": "v1"
}
] | 2021-10-18 | [
[
"Sahfienya",
"Hesam",
""
],
[
"Regan",
"Amelia C.",
""
]
] | The core of any flight schedule is the trajectories. In particular, 4D trajectories are the most crucial component for flight attribute prediction. In particular, 4D trajectories are the most crucial component for flight attribute prediction. Each trajectory contains spatial and temporal features that are associated wi... |
1610.01732 | Lei Tai | Lei Tai, Haoyang Ye, Qiong Ye, Ming Liu | PCA-aided Fully Convolutional Networks for Semantic Segmentation of
Multi-channel fMRI | ICAR 2017 - 18th International Conference on Advanced Robotics, Best
Student Paper Award, 6 figures | null | null | null | cs.CV cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Semantic segmentation of functional magnetic resonance imaging (fMRI) makes
great sense for pathology diagnosis and decision system of medical robots. The
multi-channel fMRI provides more information of the pathological features. But
the increased amount of data causes complexity in feature detections. This
paper pro... | [
{
"created": "Thu, 6 Oct 2016 05:08:15 GMT",
"version": "v1"
},
{
"created": "Fri, 9 Jun 2017 15:44:09 GMT",
"version": "v2"
},
{
"created": "Mon, 12 Jun 2017 12:50:09 GMT",
"version": "v3"
},
{
"created": "Tue, 11 Jul 2017 15:52:08 GMT",
"version": "v4"
}
] | 2017-07-12 | [
[
"Tai",
"Lei",
""
],
[
"Ye",
"Haoyang",
""
],
[
"Ye",
"Qiong",
""
],
[
"Liu",
"Ming",
""
]
] | Semantic segmentation of functional magnetic resonance imaging (fMRI) makes great sense for pathology diagnosis and decision system of medical robots. The multi-channel fMRI provides more information of the pathological features. But the increased amount of data causes complexity in feature detections. This paper propo... |
1908.00205 | Emma Xue | Shan Xue, Jie Lu, Guangquan Zhang | Cross-domain Network Representations | null | Pattern Recognition 94 (2019): 135-148 | 10.1016/j.patcog.2019.05.009 | null | cs.SI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The purpose of network representation is to learn a set of latent features by
obtaining community information from network structures to provide knowledge
for machine learning tasks. Recent research has driven significant progress in
network representation by employing random walks as the network sampling
strategy. N... | [
{
"created": "Thu, 1 Aug 2019 04:32:15 GMT",
"version": "v1"
}
] | 2019-08-02 | [
[
"Xue",
"Shan",
""
],
[
"Lu",
"Jie",
""
],
[
"Zhang",
"Guangquan",
""
]
] | The purpose of network representation is to learn a set of latent features by obtaining community information from network structures to provide knowledge for machine learning tasks. Recent research has driven significant progress in network representation by employing random walks as the network sampling strategy. Nev... |
2110.11405 | Gautam Singh | Gautam Singh, Fei Deng and Sungjin Ahn | Illiterate DALL-E Learns to Compose | Published as a conference paper at ICLR 2022 | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Although DALL-E has shown an impressive ability of composition-based
systematic generalization in image generation, it requires the dataset of
text-image pairs and the compositionality is provided by the text. In contrast,
object-centric representation models like the Slot Attention model learn
composable representat... | [
{
"created": "Sun, 17 Oct 2021 16:40:47 GMT",
"version": "v1"
},
{
"created": "Wed, 27 Oct 2021 18:46:24 GMT",
"version": "v2"
},
{
"created": "Mon, 14 Mar 2022 21:10:39 GMT",
"version": "v3"
}
] | 2022-03-16 | [
[
"Singh",
"Gautam",
""
],
[
"Deng",
"Fei",
""
],
[
"Ahn",
"Sungjin",
""
]
] | Although DALL-E has shown an impressive ability of composition-based systematic generalization in image generation, it requires the dataset of text-image pairs and the compositionality is provided by the text. In contrast, object-centric representation models like the Slot Attention model learn composable representatio... |
1805.11572 | Sebastian Lunz | Sebastian Lunz, Ozan \"Oktem, Carola-Bibiane Sch\"onlieb | Adversarial Regularizers in Inverse Problems | published at NeurIPS 2018 | null | null | null | cs.CV cs.LG math.NA stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Inverse Problems in medical imaging and computer vision are traditionally
solved using purely model-based methods. Among those variational regularization
models are one of the most popular approaches. We propose a new framework for
applying data-driven approaches to inverse problems, using a neural network as
a regul... | [
{
"created": "Tue, 29 May 2018 16:40:37 GMT",
"version": "v1"
},
{
"created": "Fri, 11 Jan 2019 17:24:06 GMT",
"version": "v2"
}
] | 2019-01-14 | [
[
"Lunz",
"Sebastian",
""
],
[
"Öktem",
"Ozan",
""
],
[
"Schönlieb",
"Carola-Bibiane",
""
]
] | Inverse Problems in medical imaging and computer vision are traditionally solved using purely model-based methods. Among those variational regularization models are one of the most popular approaches. We propose a new framework for applying data-driven approaches to inverse problems, using a neural network as a regular... |
1603.06200 | Florian Geigl | Florian Geigl, Kristina Lerman, Simon Walk, Markus Strohmaier, Denis
Helic | Assessing the Navigational Effects of Click Biases and Link Insertion on
the Web | This paper is currently under review at ACM Hypertext 2016 | null | null | null | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Websites have an inherent interest in steering user navigation in order to,
for example, increase sales of specific products or categories, or to guide
users towards specific information. In general, website administrators can use
the following two strategies to influence their visitors' navigation behavior.
First, t... | [
{
"created": "Sun, 20 Mar 2016 11:07:48 GMT",
"version": "v1"
}
] | 2016-03-22 | [
[
"Geigl",
"Florian",
""
],
[
"Lerman",
"Kristina",
""
],
[
"Walk",
"Simon",
""
],
[
"Strohmaier",
"Markus",
""
],
[
"Helic",
"Denis",
""
]
] | Websites have an inherent interest in steering user navigation in order to, for example, increase sales of specific products or categories, or to guide users towards specific information. In general, website administrators can use the following two strategies to influence their visitors' navigation behavior. First, the... |
1405.6058 | Francesco Gadaleta | Francesco Gadaleta, Raoul Strackx, Nick Nikiforakis, Frank Piessens,
Wouter Joosen | On the effectiveness of virtualization-based security | 12 pages, 07-10 May 2012, Max Planck Institute IT Security, Freiburg
(Germany) | null | null | null | cs.CR | http://creativecommons.org/licenses/by/3.0/ | Protecting commodity operating systems and applications against malware and
targeted attacks has proven to be difficult. In recent years, virtualization
has received attention from security researchers who utilize it to harden
existing systems and provide strong security guarantees. This has lead to
interesting use c... | [
{
"created": "Thu, 22 May 2014 07:56:53 GMT",
"version": "v1"
}
] | 2014-05-26 | [
[
"Gadaleta",
"Francesco",
""
],
[
"Strackx",
"Raoul",
""
],
[
"Nikiforakis",
"Nick",
""
],
[
"Piessens",
"Frank",
""
],
[
"Joosen",
"Wouter",
""
]
] | Protecting commodity operating systems and applications against malware and targeted attacks has proven to be difficult. In recent years, virtualization has received attention from security researchers who utilize it to harden existing systems and provide strong security guarantees. This has lead to interesting use cas... |
2404.06437 | Dimitrios Michail | Dimitrios Michail and Lefki-Ioanna Panagiotou and Charalampos Davalas
and Ioannis Prapas and Spyros Kondylatos and Nikolaos Ioannis Bountos and
Ioannis Papoutsis | Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks | null | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | With climate change expected to exacerbate fire weather conditions, the
accurate anticipation of wildfires on a global scale becomes increasingly
crucial for disaster mitigation. In this study, we utilize SeasFire, a
comprehensive global wildfire dataset with climate, vegetation, oceanic
indices, and human-related va... | [
{
"created": "Tue, 9 Apr 2024 16:28:54 GMT",
"version": "v1"
}
] | 2024-04-10 | [
[
"Michail",
"Dimitrios",
""
],
[
"Panagiotou",
"Lefki-Ioanna",
""
],
[
"Davalas",
"Charalampos",
""
],
[
"Prapas",
"Ioannis",
""
],
[
"Kondylatos",
"Spyros",
""
],
[
"Bountos",
"Nikolaos Ioannis",
""
],
[
"Papoutsis... | With climate change expected to exacerbate fire weather conditions, the accurate anticipation of wildfires on a global scale becomes increasingly crucial for disaster mitigation. In this study, we utilize SeasFire, a comprehensive global wildfire dataset with climate, vegetation, oceanic indices, and human-related vari... |
2006.10712 | Ertunc Erdil | Ertunc Erdil, Krishna Chaitanya, Neerav Karani, Ender Konukoglu | Task-agnostic Out-of-Distribution Detection Using Kernel Density
Estimation | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the recent years, researchers proposed a number of successful methods to
perform out-of-distribution (OOD) detection in deep neural networks (DNNs). So
far the scope of the highly accurate methods has been limited to image level
classification tasks. However, attempts for generally applicable methods beyond
classi... | [
{
"created": "Thu, 18 Jun 2020 17:46:06 GMT",
"version": "v1"
},
{
"created": "Tue, 6 Oct 2020 20:39:03 GMT",
"version": "v2"
},
{
"created": "Tue, 24 Nov 2020 11:29:14 GMT",
"version": "v3"
},
{
"created": "Tue, 30 Mar 2021 21:55:47 GMT",
"version": "v4"
}
] | 2021-04-01 | [
[
"Erdil",
"Ertunc",
""
],
[
"Chaitanya",
"Krishna",
""
],
[
"Karani",
"Neerav",
""
],
[
"Konukoglu",
"Ender",
""
]
] | In the recent years, researchers proposed a number of successful methods to perform out-of-distribution (OOD) detection in deep neural networks (DNNs). So far the scope of the highly accurate methods has been limited to image level classification tasks. However, attempts for generally applicable methods beyond classifi... |
1702.06969 | Vedat Levi Alev | Vedat Levi Alev, Lap Chi Lau | Approximating Unique Games Using Low Diameter Graph Decomposition | 15 pages, 2 figures | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We design approximation algorithms for Unique Games when the constraint graph
admits good low diameter graph decomposition. For the ${\sf Max2Lin}_k$ problem
in $K_r$-minor free graphs, when there is an assignment satisfying
$1-\varepsilon$ fraction of constraints, we present an algorithm that produces
an assignment ... | [
{
"created": "Wed, 22 Feb 2017 19:08:25 GMT",
"version": "v1"
},
{
"created": "Mon, 27 Feb 2017 05:09:46 GMT",
"version": "v2"
},
{
"created": "Mon, 12 Jun 2017 16:23:37 GMT",
"version": "v3"
},
{
"created": "Fri, 17 Nov 2017 13:25:16 GMT",
"version": "v4"
},
{
"c... | 2017-12-01 | [
[
"Alev",
"Vedat Levi",
""
],
[
"Lau",
"Lap Chi",
""
]
] | We design approximation algorithms for Unique Games when the constraint graph admits good low diameter graph decomposition. For the ${\sf Max2Lin}_k$ problem in $K_r$-minor free graphs, when there is an assignment satisfying $1-\varepsilon$ fraction of constraints, we present an algorithm that produces an assignment sa... |
0902.1853 | Arash Amini | F. Marvasti, A. Amini, F. Haddadi, M. Soltanolkotabi, B. H. Khalaj, A.
Aldroubi, S. Holm, S. Sanei and J. Chambers | A Unified Approach to Sparse Signal Processing | 43 pages, 40 figures, 15 tables | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A unified view of sparse signal processing is presented in tutorial form by
bringing together various fields. For each of these fields, various algorithms
and techniques, which have been developed to leverage sparsity, are described
succinctly. The common benefits of significant reduction in sampling rate and
process... | [
{
"created": "Wed, 11 Feb 2009 16:58:19 GMT",
"version": "v1"
}
] | 2009-02-12 | [
[
"Marvasti",
"F.",
""
],
[
"Amini",
"A.",
""
],
[
"Haddadi",
"F.",
""
],
[
"Soltanolkotabi",
"M.",
""
],
[
"Khalaj",
"B. H.",
""
],
[
"Aldroubi",
"A.",
""
],
[
"Holm",
"S.",
""
],
[
"Sanei",
"S."... | A unified view of sparse signal processing is presented in tutorial form by bringing together various fields. For each of these fields, various algorithms and techniques, which have been developed to leverage sparsity, are described succinctly. The common benefits of significant reduction in sampling rate and processin... |
1905.02450 | Kaitao Song | Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu | MASS: Masked Sequence to Sequence Pre-training for Language Generation | Accepted by ICML 2019 | null | null | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pre-training and fine-tuning, e.g., BERT, have achieved great success in
language understanding by transferring knowledge from rich-resource
pre-training task to the low/zero-resource downstream tasks. Inspired by the
success of BERT, we propose MAsked Sequence to Sequence pre-training (MASS) for
the encoder-decoder ... | [
{
"created": "Tue, 7 May 2019 10:13:04 GMT",
"version": "v1"
},
{
"created": "Wed, 8 May 2019 06:46:26 GMT",
"version": "v2"
},
{
"created": "Mon, 13 May 2019 11:43:27 GMT",
"version": "v3"
},
{
"created": "Tue, 11 Jun 2019 03:43:41 GMT",
"version": "v4"
},
{
"cre... | 2019-06-24 | [
[
"Song",
"Kaitao",
""
],
[
"Tan",
"Xu",
""
],
[
"Qin",
"Tao",
""
],
[
"Lu",
"Jianfeng",
""
],
[
"Liu",
"Tie-Yan",
""
]
] | Pre-training and fine-tuning, e.g., BERT, have achieved great success in language understanding by transferring knowledge from rich-resource pre-training task to the low/zero-resource downstream tasks. Inspired by the success of BERT, we propose MAsked Sequence to Sequence pre-training (MASS) for the encoder-decoder ba... |
2305.05592 | Ela Liberman Pincu | Ela Liberman-Pincu and Tal Oron-Gilad | A Robotic Medical Clown (RMC): Forming a Design Space Model | Working paper based on the poster presented at ICRA 2023 | null | null | null | cs.RO cs.HC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Medical clowns help hospitalized children in reducing pain and anxiety
symptoms and increase the level of satisfaction in children's wards.
Unfortunately, there is a shortage of medical clowns around the world.
Furthermore, isolated children can not enjoy this service. This study explored
the concept of a Robotic Med... | [
{
"created": "Tue, 9 May 2023 16:31:36 GMT",
"version": "v1"
}
] | 2023-05-10 | [
[
"Liberman-Pincu",
"Ela",
""
],
[
"Oron-Gilad",
"Tal",
""
]
] | Medical clowns help hospitalized children in reducing pain and anxiety symptoms and increase the level of satisfaction in children's wards. Unfortunately, there is a shortage of medical clowns around the world. Furthermore, isolated children can not enjoy this service. This study explored the concept of a Robotic Medic... |
1805.11550 | Justin Hsu | Gerco van Heerdt, Justin Hsu, Jo\"el Ouaknine, Alexandra Silva | Convex Language Semantics for Nondeterministic Probabilistic Automata | null | null | null | null | cs.FL cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We explore language semantics for automata combining probabilistic and
nondeterministic behavior. We first show that there are precisely two natural
semantics for probabilistic automata with nondeterminism. For both choices, we
show that these automata are strictly more expressive than deterministic
probabilistic aut... | [
{
"created": "Tue, 29 May 2018 15:56:32 GMT",
"version": "v1"
}
] | 2018-05-30 | [
[
"van Heerdt",
"Gerco",
""
],
[
"Hsu",
"Justin",
""
],
[
"Ouaknine",
"Joël",
""
],
[
"Silva",
"Alexandra",
""
]
] | We explore language semantics for automata combining probabilistic and nondeterministic behavior. We first show that there are precisely two natural semantics for probabilistic automata with nondeterminism. For both choices, we show that these automata are strictly more expressive than deterministic probabilistic autom... |
1708.09217 | Long Zhou | Long Zhou, Jiajun Zhang, Chengqing Zong | Look-ahead Attention for Generation in Neural Machine Translation | 12 pages, 5 figures | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | The attention model has become a standard component in neural machine
translation (NMT) and it guides translation process by selectively focusing on
parts of the source sentence when predicting each target word. However, we find
that the generation of a target word does not only depend on the source
sentence, but als... | [
{
"created": "Wed, 30 Aug 2017 11:27:02 GMT",
"version": "v1"
}
] | 2017-08-31 | [
[
"Zhou",
"Long",
""
],
[
"Zhang",
"Jiajun",
""
],
[
"Zong",
"Chengqing",
""
]
] | The attention model has become a standard component in neural machine translation (NMT) and it guides translation process by selectively focusing on parts of the source sentence when predicting each target word. However, we find that the generation of a target word does not only depend on the source sentence, but also ... |
2206.04891 | Sascha Marton | Sascha Marton, Stefan L\"udtke, Christian Bartelt, Andrej Tschalzev,
Heiner Stuckenschmidt | Explaining Neural Networks without Access to Training Data | null | Machine Learning (2024) | 10.1007/s10994-023-06428-4 | null | cs.LG cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We consider generating explanations for neural networks in cases where the
network's training data is not accessible, for instance due to privacy or
safety issues. Recently, $\mathcal{I}$-Nets have been proposed as a sample-free
approach to post-hoc, global model interpretability that does not require
access to train... | [
{
"created": "Fri, 10 Jun 2022 06:10:04 GMT",
"version": "v1"
}
] | 2024-01-15 | [
[
"Marton",
"Sascha",
""
],
[
"Lüdtke",
"Stefan",
""
],
[
"Bartelt",
"Christian",
""
],
[
"Tschalzev",
"Andrej",
""
],
[
"Stuckenschmidt",
"Heiner",
""
]
] | We consider generating explanations for neural networks in cases where the network's training data is not accessible, for instance due to privacy or safety issues. Recently, $\mathcal{I}$-Nets have been proposed as a sample-free approach to post-hoc, global model interpretability that does not require access to trainin... |
2406.18836 | Huaying Zhang | Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama | Zero-shot Composed Image Retrieval Considering Query-target Relationship
Leveraging Masked Image-text Pairs | Accepted as a conference paper in IEEE ICIP 2024 | null | null | null | cs.CV cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a novel zero-shot composed image retrieval (CIR) method
considering the query-target relationship by masked image-text pairs. The
objective of CIR is to retrieve the target image using a query image and a
query text. Existing methods use a textual inversion network to convert the
query image into ... | [
{
"created": "Thu, 27 Jun 2024 02:10:30 GMT",
"version": "v1"
}
] | 2024-06-28 | [
[
"Zhang",
"Huaying",
""
],
[
"Yanagi",
"Rintaro",
""
],
[
"Togo",
"Ren",
""
],
[
"Ogawa",
"Takahiro",
""
],
[
"Haseyama",
"Miki",
""
]
] | This paper proposes a novel zero-shot composed image retrieval (CIR) method considering the query-target relationship by masked image-text pairs. The objective of CIR is to retrieve the target image using a query image and a query text. Existing methods use a textual inversion network to convert the query image into a ... |
0904.2129 | Tamara Mchedlidze David | Tamara Mchedlidze, Antonios Symvonis | Crossing-Optimal Acyclic HP-Completion for Outerplanar st-Digraphs | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given an embedded planar acyclic digraph G, we define the problem of acyclic
hamiltonian path completion with crossing minimization (Acyclic-HPCCM) to be
the problem of determining a hamiltonian path completion set of edges such
that, when these edges are embedded on G, they create the smallest possible
number of edg... | [
{
"created": "Tue, 14 Apr 2009 14:29:56 GMT",
"version": "v1"
}
] | 2009-04-15 | [
[
"Mchedlidze",
"Tamara",
""
],
[
"Symvonis",
"Antonios",
""
]
] | Given an embedded planar acyclic digraph G, we define the problem of acyclic hamiltonian path completion with crossing minimization (Acyclic-HPCCM) to be the problem of determining a hamiltonian path completion set of edges such that, when these edges are embedded on G, they create the smallest possible number of edge ... |
1404.5248 | Meddeb Mohamed | M. Meddeb, H. Karray and Adel M. Alimi | Intelligent Remote Control for TV Program based on Emotion in Arabic
Speech | 6 pages, 3 figures | International Journal of Scientific Research & Engineering
Technology (IJSET), ISSN: (2277-1581) volume 1, 2014 | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recommender systems for TV program have been studied for the realization of
personalized TV Electronic Program Guides. In this paper, we propose automatic
emotion Arabic speech recognition in order to achieve an intelligent remote
control. In addition, the TV can estimate our interests and preferences by
observing ou... | [
{
"created": "Mon, 21 Apr 2014 17:25:15 GMT",
"version": "v1"
}
] | 2014-04-22 | [
[
"Meddeb",
"M.",
""
],
[
"Karray",
"H.",
""
],
[
"Alimi",
"Adel M.",
""
]
] | Recommender systems for TV program have been studied for the realization of personalized TV Electronic Program Guides. In this paper, we propose automatic emotion Arabic speech recognition in order to achieve an intelligent remote control. In addition, the TV can estimate our interests and preferences by observing our ... |
2011.00784 | Tobias Schlagenhauf | Tobias Schlagenhauf, Yefeng Xia, J\"urgen Fleischer | Context-based Image Segment Labeling (CBISL) | 11 pages, 4 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Working with images, one often faces problems with incomplete or unclear
information. Image inpainting can be used to restore missing image regions but
focuses, however, on low-level image features such as pixel intensity, pixel
gradient orientation, and color. This paper aims to recover semantic image
features (obje... | [
{
"created": "Mon, 2 Nov 2020 07:26:55 GMT",
"version": "v1"
}
] | 2020-11-03 | [
[
"Schlagenhauf",
"Tobias",
""
],
[
"Xia",
"Yefeng",
""
],
[
"Fleischer",
"Jürgen",
""
]
] | Working with images, one often faces problems with incomplete or unclear information. Image inpainting can be used to restore missing image regions but focuses, however, on low-level image features such as pixel intensity, pixel gradient orientation, and color. This paper aims to recover semantic image features (object... |
2304.00988 | Andrea Poltronieri | Jacopo de Berardinis, Albert Mero\~no-Pe\~nuela, Andrea Poltronieri,
Valentina Presutti | The Music Annotation Pattern | 12 pages, 3 figures. Proceedings of the 13th Workshop on Ontology
Design and Patterns, edited by V. Sv\'atek et al., WOP, 2022 | null | null | null | cs.AI cs.MM cs.SD eess.AS | http://creativecommons.org/licenses/by/4.0/ | The annotation of music content is a complex process to represent due to its
inherent multifaceted, subjectivity, and interdisciplinary nature. Numerous
systems and conventions for annotating music have been developed as independent
standards over the past decades. Little has been done to make them
interoperable, whi... | [
{
"created": "Thu, 30 Mar 2023 11:13:59 GMT",
"version": "v1"
}
] | 2023-04-04 | [
[
"de Berardinis",
"Jacopo",
""
],
[
"Meroño-Peñuela",
"Albert",
""
],
[
"Poltronieri",
"Andrea",
""
],
[
"Presutti",
"Valentina",
""
]
] | The annotation of music content is a complex process to represent due to its inherent multifaceted, subjectivity, and interdisciplinary nature. Numerous systems and conventions for annotating music have been developed as independent standards over the past decades. Little has been done to make them interoperable, which... |
2401.17035 | Ivica Kopriva Dr | Ivica Kopriva | Robust Kernel Sparse Subspace Clustering | 5 pages, 2 tables | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Kernel methods are applied to many problems in pattern recognition, including
subspace clustering (SC). That way, nonlinear problems in the input data space
become linear in mapped high-dimensional feature space. Thereby,
computationally tractable nonlinear algorithms are enabled through implicit
mapping by the virtu... | [
{
"created": "Tue, 30 Jan 2024 14:12:39 GMT",
"version": "v1"
}
] | 2024-01-31 | [
[
"Kopriva",
"Ivica",
""
]
] | Kernel methods are applied to many problems in pattern recognition, including subspace clustering (SC). That way, nonlinear problems in the input data space become linear in mapped high-dimensional feature space. Thereby, computationally tractable nonlinear algorithms are enabled through implicit mapping by the virtue ... |
1712.06843 | Saahil Ognawala | Saahil Ognawala, Ana Petrovska, Kristian Beckers | An Exploratory Survey of Hybrid Testing Techniques Involving Symbolic
Execution and Fuzzing | Author's preprint | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent efforts in practical symbolic execution have successfully mitigated
the path-explosion problem to some extent with search-based heuristics and
compositional approaches. Similarly, due to an increase in the performance of
cheap multi-core commodity computers, fuzzing as a viable method of random
mutation-based ... | [
{
"created": "Tue, 19 Dec 2017 09:50:10 GMT",
"version": "v1"
}
] | 2017-12-20 | [
[
"Ognawala",
"Saahil",
""
],
[
"Petrovska",
"Ana",
""
],
[
"Beckers",
"Kristian",
""
]
] | Recent efforts in practical symbolic execution have successfully mitigated the path-explosion problem to some extent with search-based heuristics and compositional approaches. Similarly, due to an increase in the performance of cheap multi-core commodity computers, fuzzing as a viable method of random mutation-based te... |
2310.18036 | Benjamin Aram Berendsohn | Benjamin Aram Berendsohn | Fast and simple unrooted dynamic forests | null | null | 10.1137/1.9781611977929.4 | null | cs.DS | http://creativecommons.org/licenses/by-sa/4.0/ | A dynamic forest data structure maintains a forest (and associated data like
edge weights) under edge insertions and deletions. Dynamic forests are widely
used to solve online and offline graph problems. Well-known examples of dynamic
forest data structures are link-cut trees [Sleator and Tarjan '83] and top
trees [A... | [
{
"created": "Fri, 27 Oct 2023 10:28:24 GMT",
"version": "v1"
},
{
"created": "Mon, 8 Jan 2024 13:48:50 GMT",
"version": "v2"
}
] | 2024-01-09 | [
[
"Berendsohn",
"Benjamin Aram",
""
]
] | A dynamic forest data structure maintains a forest (and associated data like edge weights) under edge insertions and deletions. Dynamic forests are widely used to solve online and offline graph problems. Well-known examples of dynamic forest data structures are link-cut trees [Sleator and Tarjan '83] and top trees [Als... |
2209.14399 | Marie Siew | Marie Siew, Shikhar Sharma, Zekai Li, Kun Guo, Chao Xu, Tania
Lorido-Botran, Tony Q.S. Quek and Carlee Joe-Wong | FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge
Computing Migrations | null | null | null | null | cs.NI cs.LG cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | In edge computing, users' service profiles are migrated due to user mobility.
Reinforcement learning (RL) frameworks have been proposed to do so, often
trained on simulated data. However, existing RL frameworks overlook occasional
server failures, which although rare, impact latency-sensitive applications
like autono... | [
{
"created": "Wed, 28 Sep 2022 19:49:39 GMT",
"version": "v1"
},
{
"created": "Thu, 7 Mar 2024 06:22:02 GMT",
"version": "v2"
}
] | 2024-03-08 | [
[
"Siew",
"Marie",
""
],
[
"Sharma",
"Shikhar",
""
],
[
"Li",
"Zekai",
""
],
[
"Guo",
"Kun",
""
],
[
"Xu",
"Chao",
""
],
[
"Lorido-Botran",
"Tania",
""
],
[
"Quek",
"Tony Q. S.",
""
],
[
"Joe-Wong",
... | In edge computing, users' service profiles are migrated due to user mobility. Reinforcement learning (RL) frameworks have been proposed to do so, often trained on simulated data. However, existing RL frameworks overlook occasional server failures, which although rare, impact latency-sensitive applications like autonomo... |
2012.09720 | Ilias Diakonikolas | Ilias Diakonikolas and Daniel M. Kane | Near-Optimal Statistical Query Hardness of Learning Halfspaces with
Massart Noise | This version improves on the previous version. It obtains a
near-optimal hardness result essentially matching known algorithms | null | null | null | cs.LG cs.CC math.ST stat.ML stat.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of PAC learning halfspaces with Massart noise. Given
labeled samples $(x, y)$ from a distribution $D$ on $\mathbb{R}^{d} \times \{
\pm 1\}$ such that the marginal $D_x$ on the examples is arbitrary and the
label $y$ of example $x$ is generated from the target halfspace corrupted by a
Massart adve... | [
{
"created": "Thu, 17 Dec 2020 16:43:11 GMT",
"version": "v1"
},
{
"created": "Mon, 23 Aug 2021 16:18:45 GMT",
"version": "v2"
},
{
"created": "Mon, 8 Nov 2021 18:19:54 GMT",
"version": "v3"
}
] | 2021-11-09 | [
[
"Diakonikolas",
"Ilias",
""
],
[
"Kane",
"Daniel M.",
""
]
] | We study the problem of PAC learning halfspaces with Massart noise. Given labeled samples $(x, y)$ from a distribution $D$ on $\mathbb{R}^{d} \times \{ \pm 1\}$ such that the marginal $D_x$ on the examples is arbitrary and the label $y$ of example $x$ is generated from the target halfspace corrupted by a Massart advers... |
2203.04311 | Zhiyu Mou | Zhiyu Mou, Jun Liu, Xiang Yun, Feifei Gao, Qihui Wu | Cluster Head Detection for Hierarchical UAV Swarm With Graph
Self-supervised Learning | null | null | null | null | cs.LG cs.AI eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we study the cluster head detection problem of a two-level
unmanned aerial vehicle (UAV) swarm network (USNET) with multiple UAV clusters,
where the inherent follow strategy (IFS) of low-level follower UAVs (FUAVs)
with respect to high-level cluster head UAVs (HUAVs) is unknown. We first
propose a grap... | [
{
"created": "Tue, 8 Mar 2022 14:50:29 GMT",
"version": "v1"
}
] | 2022-03-10 | [
[
"Mou",
"Zhiyu",
""
],
[
"Liu",
"Jun",
""
],
[
"Yun",
"Xiang",
""
],
[
"Gao",
"Feifei",
""
],
[
"Wu",
"Qihui",
""
]
] | In this paper, we study the cluster head detection problem of a two-level unmanned aerial vehicle (UAV) swarm network (USNET) with multiple UAV clusters, where the inherent follow strategy (IFS) of low-level follower UAVs (FUAVs) with respect to high-level cluster head UAVs (HUAVs) is unknown. We first propose a graph ... |
1804.08032 | Bart Jacobs | Bart Jacobs | A Channel-based Exact Inference Algorithm for Bayesian Networks | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper describes a new algorithm for exact Bayesian inference that is
based on a recently proposed compositional semantics of Bayesian networks in
terms of channels. The paper concentrates on the ideas behind this algorithm,
involving a linearisation (`stretching') of the Bayesian network, followed by a
combinati... | [
{
"created": "Sat, 21 Apr 2018 21:59:24 GMT",
"version": "v1"
}
] | 2018-04-24 | [
[
"Jacobs",
"Bart",
""
]
] | This paper describes a new algorithm for exact Bayesian inference that is based on a recently proposed compositional semantics of Bayesian networks in terms of channels. The paper concentrates on the ideas behind this algorithm, involving a linearisation (`stretching') of the Bayesian network, followed by a combination... |
2103.04789 | Qianyu Feng | Qianyu Feng, Yawei Luo, Keyang Luo, Yi Yang | Look, Cast and Mold: Learning 3D Shape Manifold from Single-view
Synthetic Data | this work is no longer under development | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Inferring the stereo structure of objects in the real world is a challenging
yet practical task. To equip deep models with this ability usually requires
abundant 3D supervision which is hard to acquire. It is promising that we can
simply benefit from synthetic data, where pairwise ground-truth is easy to
access. Neve... | [
{
"created": "Mon, 8 Mar 2021 14:30:18 GMT",
"version": "v1"
},
{
"created": "Thu, 18 Mar 2021 11:31:09 GMT",
"version": "v2"
},
{
"created": "Tue, 7 Jun 2022 05:44:25 GMT",
"version": "v3"
}
] | 2022-06-08 | [
[
"Feng",
"Qianyu",
""
],
[
"Luo",
"Yawei",
""
],
[
"Luo",
"Keyang",
""
],
[
"Yang",
"Yi",
""
]
] | Inferring the stereo structure of objects in the real world is a challenging yet practical task. To equip deep models with this ability usually requires abundant 3D supervision which is hard to acquire. It is promising that we can simply benefit from synthetic data, where pairwise ground-truth is easy to access. Nevert... |
2001.05451 | Yujie Wang | Yujie Wang | Improvement of an Approximated Self-Improving Sorter and Error Analysis
of its Estimated Entropy | I found there is a critical error in this submission, therefore, I
withdraw this draft | null | null | null | cs.DS | http://creativecommons.org/licenses/by/4.0/ | The self-improving sorter proposed by Ailon et al. consists of two phases: a
relatively long training phase and rapid operation phase. In this study, we
have developed an efficient way to further improve this sorter by approximating
its training phase to be faster but not sacrificing much performance in the
operation... | [
{
"created": "Wed, 15 Jan 2020 17:49:28 GMT",
"version": "v1"
},
{
"created": "Mon, 15 Mar 2021 13:18:01 GMT",
"version": "v2"
}
] | 2021-03-16 | [
[
"Wang",
"Yujie",
""
]
] | The self-improving sorter proposed by Ailon et al. consists of two phases: a relatively long training phase and rapid operation phase. In this study, we have developed an efficient way to further improve this sorter by approximating its training phase to be faster but not sacrificing much performance in the operation p... |
1709.05675 | Andrey Savchenko | Anastasiia D. Sokolova, Angelina S. Kharchevnikova, Andrey V.
Savchenko | Organizing Multimedia Data in Video Surveillance Systems Based on Face
Verification with Convolutional Neural Networks | 8 pages; 1 figure, accepted for publication at AIST17 | Proceedings of the International Conference on Analysis of Images,
Social Networks and Texts (AIST), 2018, pp. 223-230 | 10.1007/978-3-319-73013-4_20 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we propose the two-stage approach of organizing information in
video surveillance systems. At first, the faces are detected in each frame and
a video stream is split into sequences of frames with face region of one
person. Secondly, these sequences (tracks) that contain identical faces are
grouped using... | [
{
"created": "Sun, 17 Sep 2017 14:57:55 GMT",
"version": "v1"
}
] | 2018-01-04 | [
[
"Sokolova",
"Anastasiia D.",
""
],
[
"Kharchevnikova",
"Angelina S.",
""
],
[
"Savchenko",
"Andrey V.",
""
]
] | In this paper we propose the two-stage approach of organizing information in video surveillance systems. At first, the faces are detected in each frame and a video stream is split into sequences of frames with face region of one person. Secondly, these sequences (tracks) that contain identical faces are grouped using f... |
2304.08327 | Yi-Pei Chen | Yi-Pei Chen, An-Zi Yen, Hen-Hsen Huang, Hideki Nakayama, Hsin-Hsi Chen | LED: A Dataset for Life Event Extraction from Dialogs | Accepted to EACL 2023 Findings | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Lifelogging has gained more attention due to its wide applications, such as
personalized recommendations or memory assistance. The issues of collecting and
extracting personal life events have emerged. People often share their life
experiences with others through conversations. However, extracting life events
from co... | [
{
"created": "Mon, 17 Apr 2023 14:46:59 GMT",
"version": "v1"
}
] | 2023-04-18 | [
[
"Chen",
"Yi-Pei",
""
],
[
"Yen",
"An-Zi",
""
],
[
"Huang",
"Hen-Hsen",
""
],
[
"Nakayama",
"Hideki",
""
],
[
"Chen",
"Hsin-Hsi",
""
]
] | Lifelogging has gained more attention due to its wide applications, such as personalized recommendations or memory assistance. The issues of collecting and extracting personal life events have emerged. People often share their life experiences with others through conversations. However, extracting life events from conv... |
2007.07841 | Paul Tardy | Paul Tardy, David Janiszek, Yannick Est\`eve, Vincent Nguyen | Align then Summarize: Automatic Alignment Methods for Summarization
Corpus Creation | null | LREC 2020 -- Proceedings of The 12th Language Resources and
Evaluation Conference, 2020, pp. 6718--6724 | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Summarizing texts is not a straightforward task. Before even considering text
summarization, one should determine what kind of summary is expected. How much
should the information be compressed? Is it relevant to reformulate or should
the summary stick to the original phrasing? State-of-the-art on automatic text
summ... | [
{
"created": "Wed, 15 Jul 2020 17:03:34 GMT",
"version": "v1"
}
] | 2020-07-16 | [
[
"Tardy",
"Paul",
""
],
[
"Janiszek",
"David",
""
],
[
"Estève",
"Yannick",
""
],
[
"Nguyen",
"Vincent",
""
]
] | Summarizing texts is not a straightforward task. Before even considering text summarization, one should determine what kind of summary is expected. How much should the information be compressed? Is it relevant to reformulate or should the summary stick to the original phrasing? State-of-the-art on automatic text summar... |
1711.02257 | Zhao Chen | Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee and Andrew Rabinovich | GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep
Multitask Networks | ICML 2018 | Proceedings of the 35th International Conference on Machine
Learning (2018), 793-802 | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep multitask networks, in which one neural network produces multiple
predictive outputs, can offer better speed and performance than their
single-task counterparts but are challenging to train properly. We present a
gradient normalization (GradNorm) algorithm that automatically balances
training in deep multitask m... | [
{
"created": "Tue, 7 Nov 2017 02:08:12 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Dec 2017 01:00:22 GMT",
"version": "v2"
},
{
"created": "Sun, 8 Apr 2018 21:25:49 GMT",
"version": "v3"
},
{
"created": "Tue, 12 Jun 2018 06:45:49 GMT",
"version": "v4"
}
] | 2018-07-16 | [
[
"Chen",
"Zhao",
""
],
[
"Badrinarayanan",
"Vijay",
""
],
[
"Lee",
"Chen-Yu",
""
],
[
"Rabinovich",
"Andrew",
""
]
] | Deep multitask networks, in which one neural network produces multiple predictive outputs, can offer better speed and performance than their single-task counterparts but are challenging to train properly. We present a gradient normalization (GradNorm) algorithm that automatically balances training in deep multitask mod... |
2304.08379 | Pedro Neto | Ant\'onio Amorim, Diana Guimar\~aes, Tiago Mendon\c{c}a, Pedro Neto,
Paulo Costa, Ant\'onio Paulo Moreira | Robust human position estimation in cooperative robotic cells | null | Robotics and Computer-Integrated Manufacturing, 67, 102035 (2021) | 10.1016/j.rcim.2020.102035 | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | Robots are increasingly present in our lives, sharing the workspace and tasks
with human co-workers. However, existing interfaces for human-robot interaction
/ cooperation (HRI/C) have limited levels of intuitiveness to use and safety is
a major concern when humans and robots share the same workspace. Many times,
thi... | [
{
"created": "Mon, 17 Apr 2023 15:42:44 GMT",
"version": "v1"
}
] | 2023-04-18 | [
[
"Amorim",
"António",
""
],
[
"Guimarães",
"Diana",
""
],
[
"Mendonça",
"Tiago",
""
],
[
"Neto",
"Pedro",
""
],
[
"Costa",
"Paulo",
""
],
[
"Moreira",
"António Paulo",
""
]
] | Robots are increasingly present in our lives, sharing the workspace and tasks with human co-workers. However, existing interfaces for human-robot interaction / cooperation (HRI/C) have limited levels of intuitiveness to use and safety is a major concern when humans and robots share the same workspace. Many times, this ... |
2305.08527 | Jinlei Xu | Jinlei Xu, Zhengyu Zhu, Zheng Chu, Hehao Niu, Pei Xiao, Inkyu Lee | Sum Secrecy Rate Maximization for IRS-aided Multi-Cluster MIMO-NOMA
Terahertz Systems | 11 pages, 8 figure; references added | null | null | null | cs.IT eess.SP math.IT | http://creativecommons.org/licenses/by/4.0/ | Intelligent reflecting surface (IRS) is a promising technique to extend the
network coverage and improve spectral efficiency. This paper investigates an
IRS-assisted terahertz (THz) multiple-input multiple-output
(MIMO)-nonorthogonal multiple access (NOMA) system based on hybrid precoding
with the presence of eavesdr... | [
{
"created": "Mon, 15 May 2023 10:35:26 GMT",
"version": "v1"
},
{
"created": "Mon, 12 Jun 2023 00:09:03 GMT",
"version": "v2"
}
] | 2023-06-13 | [
[
"Xu",
"Jinlei",
""
],
[
"Zhu",
"Zhengyu",
""
],
[
"Chu",
"Zheng",
""
],
[
"Niu",
"Hehao",
""
],
[
"Xiao",
"Pei",
""
],
[
"Lee",
"Inkyu",
""
]
] | Intelligent reflecting surface (IRS) is a promising technique to extend the network coverage and improve spectral efficiency. This paper investigates an IRS-assisted terahertz (THz) multiple-input multiple-output (MIMO)-nonorthogonal multiple access (NOMA) system based on hybrid precoding with the presence of eavesdrop... |
2406.10910 | Kaiming Shen | Yannan Chen, Yi Feng, Xiaoyang Li, Licheng Zhao, Kaiming Shen | Fast Fractional Programming for Multi-Cell Integrated Sensing and
Communications | null | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper concerns the coordinate multi-cell beamforming design for
integrated sensing and communications (ISAC). In particular, we assume that
each base station (BS) has massive antennas. The optimization objective is to
maximize a weighted sum of the data rates (for communications) and the Fisher
information (for ... | [
{
"created": "Sun, 16 Jun 2024 12:14:09 GMT",
"version": "v1"
}
] | 2024-06-18 | [
[
"Chen",
"Yannan",
""
],
[
"Feng",
"Yi",
""
],
[
"Li",
"Xiaoyang",
""
],
[
"Zhao",
"Licheng",
""
],
[
"Shen",
"Kaiming",
""
]
] | This paper concerns the coordinate multi-cell beamforming design for integrated sensing and communications (ISAC). In particular, we assume that each base station (BS) has massive antennas. The optimization objective is to maximize a weighted sum of the data rates (for communications) and the Fisher information (for se... |
2203.01880 | Elmira Amirloo Abolfathi | Elmira Amirloo, Amir Rasouli, Peter Lakner, Mohsen Rohani, Jun Luo | LatentFormer: Multi-Agent Transformer-Based Interaction Modeling and
Trajectory Prediction | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Multi-agent trajectory prediction is a fundamental problem in autonomous
driving. The key challenges in prediction are accurately anticipating the
behavior of surrounding agents and understanding the scene context. To address
these problems, we propose LatentFormer, a transformer-based model for
predicting future veh... | [
{
"created": "Thu, 3 Mar 2022 17:44:58 GMT",
"version": "v1"
}
] | 2022-03-04 | [
[
"Amirloo",
"Elmira",
""
],
[
"Rasouli",
"Amir",
""
],
[
"Lakner",
"Peter",
""
],
[
"Rohani",
"Mohsen",
""
],
[
"Luo",
"Jun",
""
]
] | Multi-agent trajectory prediction is a fundamental problem in autonomous driving. The key challenges in prediction are accurately anticipating the behavior of surrounding agents and understanding the scene context. To address these problems, we propose LatentFormer, a transformer-based model for predicting future vehic... |
2405.05615 | Shibo Jie | Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng, Kai Han, Yunhe Wang | Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning | Accepted to ICML2024 | null | null | null | cs.CV cs.CL cs.LG | http://creativecommons.org/publicdomain/zero/1.0/ | Current solutions for efficiently constructing large vision-language (VL)
models follow a two-step paradigm: projecting the output of pre-trained vision
encoders to the input space of pre-trained language models as visual prompts;
and then transferring the models to downstream VL tasks via end-to-end
parameter-effici... | [
{
"created": "Thu, 9 May 2024 08:23:20 GMT",
"version": "v1"
}
] | 2024-05-10 | [
[
"Jie",
"Shibo",
""
],
[
"Tang",
"Yehui",
""
],
[
"Ding",
"Ning",
""
],
[
"Deng",
"Zhi-Hong",
""
],
[
"Han",
"Kai",
""
],
[
"Wang",
"Yunhe",
""
]
] | Current solutions for efficiently constructing large vision-language (VL) models follow a two-step paradigm: projecting the output of pre-trained vision encoders to the input space of pre-trained language models as visual prompts; and then transferring the models to downstream VL tasks via end-to-end parameter-efficien... |
2206.09848 | Yue Chen | Anthony L. Gunderman, Saikat Sengupta, Eleni Siampli, Dimitri
Sigounas, Christopher Kellner, Chima Oluigbo, Karun Sharma, Isuru Godage,
Kevin Cleary, Yue Chen | A Surgical Platform for Intracerebral Hemorrhage Robotic Evacuation
(ASPIHRE): A Non-metallic MR-guided Concentric Tube Robot | 19 pages, 20 figures, 3 tables | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Intracerebral hemorrhage (ICH) is the deadliest stroke sub-type, with a
one-month mortality rate as high as 52%. Due to the potential cortical
disruption caused by craniotomy, conservative management (watchful waiting) has
historically been a common method of treatment. Minimally invasive evacuation
has recently beco... | [
{
"created": "Mon, 20 Jun 2022 15:26:43 GMT",
"version": "v1"
}
] | 2022-06-22 | [
[
"Gunderman",
"Anthony L.",
""
],
[
"Sengupta",
"Saikat",
""
],
[
"Siampli",
"Eleni",
""
],
[
"Sigounas",
"Dimitri",
""
],
[
"Kellner",
"Christopher",
""
],
[
"Oluigbo",
"Chima",
""
],
[
"Sharma",
"Karun",
"... | Intracerebral hemorrhage (ICH) is the deadliest stroke sub-type, with a one-month mortality rate as high as 52%. Due to the potential cortical disruption caused by craniotomy, conservative management (watchful waiting) has historically been a common method of treatment. Minimally invasive evacuation has recently become... |
2406.13457 | Dachun Kai | Dachun Kai, Jiayao Lu, Yueyi Zhang, Xiaoyan Sun | EvTexture: Event-driven Texture Enhancement for Video Super-Resolution | ICML 2024. Project page:
https://dachunkai.github.io/evtexture.github.io/ | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Event-based vision has drawn increasing attention due to its unique
characteristics, such as high temporal resolution and high dynamic range. It
has been used in video super-resolution (VSR) recently to enhance the flow
estimation and temporal alignment. Rather than for motion learning, we propose
in this paper the f... | [
{
"created": "Wed, 19 Jun 2024 11:27:44 GMT",
"version": "v1"
}
] | 2024-06-21 | [
[
"Kai",
"Dachun",
""
],
[
"Lu",
"Jiayao",
""
],
[
"Zhang",
"Yueyi",
""
],
[
"Sun",
"Xiaoyan",
""
]
] | Event-based vision has drawn increasing attention due to its unique characteristics, such as high temporal resolution and high dynamic range. It has been used in video super-resolution (VSR) recently to enhance the flow estimation and temporal alignment. Rather than for motion learning, we propose in this paper the fir... |
1211.6653 | Yuyang Wang | Yuyang Wang, Roni Khardon | Nonparametric Bayesian Mixed-effect Model: a Sparse Gaussian Process
Approach | Preliminary version appeared in ECML2012 | null | 10.1007/978-3-642-33460-3_51 | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multi-task learning models using Gaussian processes (GP) have been developed
and successfully applied in various applications. The main difficulty with this
approach is the computational cost of inference using the union of examples
from all tasks. Therefore sparse solutions, that avoid using the entire data
directly... | [
{
"created": "Wed, 28 Nov 2012 16:50:23 GMT",
"version": "v1"
}
] | 2012-11-29 | [
[
"Wang",
"Yuyang",
""
],
[
"Khardon",
"Roni",
""
]
] | Multi-task learning models using Gaussian processes (GP) have been developed and successfully applied in various applications. The main difficulty with this approach is the computational cost of inference using the union of examples from all tasks. Therefore sparse solutions, that avoid using the entire data directly a... |
1502.07449 | Lan Shi | Lan Shi, Christopher Soell, Andreas Baenisch, Robert Weigel, J\"urgen
Seiler, Thomas Ussmueller | Concept for a CMOS Image Sensor Suited for Analog Image Pre-Processing | Presented at DATE Friday Workshop on Heterogeneous Architectures and
Design Methods for Embedded Image Systems (HIS 2015) (arXiv:1502.07241) | null | null | DATEHIS/2015/04 | cs.ET cs.AR cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A concept for a novel CMOS image sensor suited for analog image
pre-processing is presented in this paper. As an example, an image restoration
algorithm for reducing image noise is applied as image pre-processing in the
analog domain. To supply low-latency data input for analog image preprocessing,
the proposed conce... | [
{
"created": "Thu, 26 Feb 2015 06:18:04 GMT",
"version": "v1"
}
] | 2015-02-27 | [
[
"Shi",
"Lan",
""
],
[
"Soell",
"Christopher",
""
],
[
"Baenisch",
"Andreas",
""
],
[
"Weigel",
"Robert",
""
],
[
"Seiler",
"Jürgen",
""
],
[
"Ussmueller",
"Thomas",
""
]
] | A concept for a novel CMOS image sensor suited for analog image pre-processing is presented in this paper. As an example, an image restoration algorithm for reducing image noise is applied as image pre-processing in the analog domain. To supply low-latency data input for analog image preprocessing, the proposed concept... |
2401.02734 | Jian Li | Jian Li, Yong Liu, Wei Wang, Haoran Wu, Weiping Wang | FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning | Accepted at AAAI 2024 | null | null | null | cs.LG cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent Newton-type federated learning algorithms have demonstrated linear
convergence with respect to the communication rounds. However, communicating
Hessian matrices is often unfeasible due to their quadratic communication
complexity. In this paper, we introduce a novel approach to tackle this issue
while still ach... | [
{
"created": "Fri, 5 Jan 2024 10:06:41 GMT",
"version": "v1"
}
] | 2024-01-08 | [
[
"Li",
"Jian",
""
],
[
"Liu",
"Yong",
""
],
[
"Wang",
"Wei",
""
],
[
"Wu",
"Haoran",
""
],
[
"Wang",
"Weiping",
""
]
] | Recent Newton-type federated learning algorithms have demonstrated linear convergence with respect to the communication rounds. However, communicating Hessian matrices is often unfeasible due to their quadratic communication complexity. In this paper, we introduce a novel approach to tackle this issue while still achie... |
1108.4891 | Christoph Wernhard | Christoph Wernhard | Computing with Logic as Operator Elimination: The ToyElim System | Appears in the Proceedings of the 25th Workshop on Logic Programming
(WLP 2011) | null | null | null | cs.AI cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A prototype system is described whose core functionality is, based on
propositional logic, the elimination of second-order operators, such as Boolean
quantifiers and operators for projection, forgetting and circumscription. This
approach allows to express many representational and computational tasks in
knowledge rep... | [
{
"created": "Wed, 24 Aug 2011 17:21:58 GMT",
"version": "v1"
}
] | 2011-08-25 | [
[
"Wernhard",
"Christoph",
""
]
] | A prototype system is described whose core functionality is, based on propositional logic, the elimination of second-order operators, such as Boolean quantifiers and operators for projection, forgetting and circumscription. This approach allows to express many representational and computational tasks in knowledge repre... |
2106.04765 | Yair Schiff | Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen | Predicting Deep Neural Network Generalization with Perturbation Response
Curves | NeurIPS 2021 | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The field of Deep Learning is rich with empirical evidence of human-like
performance on a variety of prediction tasks. However, despite these successes,
the recent Predicting Generalization in Deep Learning (PGDL) NeurIPS 2020
competition suggests that there is a need for more robust and efficient
measures of network... | [
{
"created": "Wed, 9 Jun 2021 01:37:36 GMT",
"version": "v1"
},
{
"created": "Wed, 27 Oct 2021 01:19:08 GMT",
"version": "v2"
}
] | 2021-10-28 | [
[
"Schiff",
"Yair",
""
],
[
"Quanz",
"Brian",
""
],
[
"Das",
"Payel",
""
],
[
"Chen",
"Pin-Yu",
""
]
] | The field of Deep Learning is rich with empirical evidence of human-like performance on a variety of prediction tasks. However, despite these successes, the recent Predicting Generalization in Deep Learning (PGDL) NeurIPS 2020 competition suggests that there is a need for more robust and efficient measures of network g... |
2405.01754 | Atefeh Alirezazadeh | Atefeh Alirezazadeh, Vahid Disfani | A Peer-to-Peer Energy Management Solution for Maximum Social Welfare | null | null | null | null | cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In smart energy communities, prosumers who both generate and consume energy
play a crucial role in shaping energy management strategies. These communities
use advanced platforms that enable prosumers to actively engage in the local
electricity markets by setting and adjusting their own energy prices. Through
peer to ... | [
{
"created": "Thu, 2 May 2024 21:42:35 GMT",
"version": "v1"
}
] | 2024-05-06 | [
[
"Alirezazadeh",
"Atefeh",
""
],
[
"Disfani",
"Vahid",
""
]
] | In smart energy communities, prosumers who both generate and consume energy play a crucial role in shaping energy management strategies. These communities use advanced platforms that enable prosumers to actively engage in the local electricity markets by setting and adjusting their own energy prices. Through peer to pe... |
1702.01638 | Xinyu Li | Xinyu Li, Yanyi Zhang, Jianyu Zhang, Shuhong Chen, Ivan Marsic,
Richard A. Farneth, Randall S. Burd | Concurrent Activity Recognition with Multimodal CNN-LSTM Structure | 14 pages, 12 figures, under review | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a system that recognizes concurrent activities from real-world
data captured by multiple sensors of different types. The recognition is
achieved in two steps. First, we extract spatial and temporal features from the
multimodal data. We feed each datatype into a convolutional neural network that
extracts ... | [
{
"created": "Mon, 6 Feb 2017 15:01:45 GMT",
"version": "v1"
}
] | 2017-02-07 | [
[
"Li",
"Xinyu",
""
],
[
"Zhang",
"Yanyi",
""
],
[
"Zhang",
"Jianyu",
""
],
[
"Chen",
"Shuhong",
""
],
[
"Marsic",
"Ivan",
""
],
[
"Farneth",
"Richard A.",
""
],
[
"Burd",
"Randall S.",
""
]
] | We introduce a system that recognizes concurrent activities from real-world data captured by multiple sensors of different types. The recognition is achieved in two steps. First, we extract spatial and temporal features from the multimodal data. We feed each datatype into a convolutional neural network that extracts sp... |
2311.01591 | Debolina Halder Lina | Debolina Halder Lina and Arlei Silva | Better Fair than Sorry: Adversarial Missing Data Imputation for Fair
GNNs | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | This paper addresses the problem of learning fair Graph Neural Networks
(GNNs) under missing protected attributes. GNNs have achieved state-of-the-art
results in many relevant tasks where decisions might disproportionately impact
specific communities. However, existing work on fair GNNs assumes that either
protected ... | [
{
"created": "Thu, 2 Nov 2023 20:57:44 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Feb 2024 17:48:33 GMT",
"version": "v2"
}
] | 2024-02-16 | [
[
"Lina",
"Debolina Halder",
""
],
[
"Silva",
"Arlei",
""
]
] | This paper addresses the problem of learning fair Graph Neural Networks (GNNs) under missing protected attributes. GNNs have achieved state-of-the-art results in many relevant tasks where decisions might disproportionately impact specific communities. However, existing work on fair GNNs assumes that either protected at... |
1712.07062 | Biao He | Biao He, Shihao Yan, Xiangyun Zhou, and Hamid Jafarkhani | Covert Wireless Communication with a Poisson Field of Interferers | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we study covert communication in wireless networks consisting
of a transmitter, Alice, an intended receiver, Bob, a warden, Willie, and a
Poisson field of interferers. Bob and Willie are subject to uncertain shot
noise due to the ambient signals from interferers in the network. With the aid
of stochast... | [
{
"created": "Tue, 19 Dec 2017 17:21:59 GMT",
"version": "v1"
},
{
"created": "Tue, 12 Jun 2018 16:42:03 GMT",
"version": "v2"
},
{
"created": "Tue, 19 Jun 2018 00:04:39 GMT",
"version": "v3"
}
] | 2018-06-20 | [
[
"He",
"Biao",
""
],
[
"Yan",
"Shihao",
""
],
[
"Zhou",
"Xiangyun",
""
],
[
"Jafarkhani",
"Hamid",
""
]
] | In this paper, we study covert communication in wireless networks consisting of a transmitter, Alice, an intended receiver, Bob, a warden, Willie, and a Poisson field of interferers. Bob and Willie are subject to uncertain shot noise due to the ambient signals from interferers in the network. With the aid of stochastic... |
1711.10288 | Jacopo Cavazza | Pietro Morerio and Jacopo Cavazza and Vittorio Murino | Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain
Adaptation | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we face the problem of unsupervised domain adaptation with a
novel deep learning approach which leverages on our finding that entropy
minimization is induced by the optimal alignment of second order statistics
between source and target domains. We formally demonstrate this hypothesis and,
aiming at achi... | [
{
"created": "Tue, 28 Nov 2017 13:39:10 GMT",
"version": "v1"
}
] | 2017-11-29 | [
[
"Morerio",
"Pietro",
""
],
[
"Cavazza",
"Jacopo",
""
],
[
"Murino",
"Vittorio",
""
]
] | In this work, we face the problem of unsupervised domain adaptation with a novel deep learning approach which leverages on our finding that entropy minimization is induced by the optimal alignment of second order statistics between source and target domains. We formally demonstrate this hypothesis and, aiming at achiev... |
2006.13646 | Weiyu Chen | Weiyu Chen, Haiyang Ding, Shilian Wang, Daniel Benevides da Costa,
Fengkui Gong and Pedro Henrique Juliano Nardelli | Backscatter Cooperation in NOMA Communications Systems | 31 pages, 6 figures | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, a backscatter cooperation (BC) scheme is proposed for
non-orthogonal multiple access (NOMA) downlink transmission. The key idea is to
enable one user to split and then backscatter part of its received signals to
improve the reception at another user. To evaluate the performance of the
proposed BC-NOMA ... | [
{
"created": "Wed, 24 Jun 2020 11:40:59 GMT",
"version": "v1"
}
] | 2020-06-25 | [
[
"Chen",
"Weiyu",
""
],
[
"Ding",
"Haiyang",
""
],
[
"Wang",
"Shilian",
""
],
[
"da Costa",
"Daniel Benevides",
""
],
[
"Gong",
"Fengkui",
""
],
[
"Nardelli",
"Pedro Henrique Juliano",
""
]
] | In this paper, a backscatter cooperation (BC) scheme is proposed for non-orthogonal multiple access (NOMA) downlink transmission. The key idea is to enable one user to split and then backscatter part of its received signals to improve the reception at another user. To evaluate the performance of the proposed BC-NOMA sc... |
1906.07953 | Robin Haunschild | Jian Du, Peixin Li, Robin Haunschild, Yinan Sun, and Xiaoli Tang | Paper-Patent Citation Linkages as Early Signs for Predicting Delayed
Recognized Knowledge: Macro and Micro Evidence | 21 pages, 8 figures, and 4 tables; previous version was presented at
the ISSI 2019 in Rome, Italy; current version has been accepted for
publication in Journal of Informetrics | null | null | null | cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this study, we investigate the extent to which patent citations to papers
can serve as early signs for predicting delayed recognized knowledge in science
using a comparative study with a control group, i.e., instant recognition
papers. We identify the two opposite groups of papers by the Bcp measure, a
parameter-f... | [
{
"created": "Wed, 19 Jun 2019 07:45:43 GMT",
"version": "v1"
},
{
"created": "Mon, 20 Jan 2020 13:19:43 GMT",
"version": "v2"
}
] | 2020-01-22 | [
[
"Du",
"Jian",
""
],
[
"Li",
"Peixin",
""
],
[
"Haunschild",
"Robin",
""
],
[
"Sun",
"Yinan",
""
],
[
"Tang",
"Xiaoli",
""
]
] | In this study, we investigate the extent to which patent citations to papers can serve as early signs for predicting delayed recognized knowledge in science using a comparative study with a control group, i.e., instant recognition papers. We identify the two opposite groups of papers by the Bcp measure, a parameter-fre... |
2004.02166 | Suman Banerjee | Suman Banerjee | Designing and Connectivity Checking of Implicit Social Networks from the
User-Item Rating Data | null | null | null | null | cs.SI cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | \emph{Implicit Social Network} is a connected social structure among a group
of persons, where two of them are linked if they have some common interest. One
real\mbox{-}life example of such networks is the implicit social network among
the customers of an online commercial house, where there exists an edge between
tw... | [
{
"created": "Sun, 5 Apr 2020 11:44:51 GMT",
"version": "v1"
}
] | 2020-04-07 | [
[
"Banerjee",
"Suman",
""
]
] | \emph{Implicit Social Network} is a connected social structure among a group of persons, where two of them are linked if they have some common interest. One real\mbox{-}life example of such networks is the implicit social network among the customers of an online commercial house, where there exists an edge between two ... |
2202.13716 | Claudio Canella | Claudio Canella, Sebastian Dorn, Daniel Gruss, Michael Schwarz | SFIP: Coarse-Grained Syscall-Flow-Integrity Protection in Modern Systems | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Growing code bases of modern applications have led to a steady increase in
the number of vulnerabilities. Control-Flow Integrity (CFI) is one promising
mitigation that is more and more widely deployed and prevents numerous
exploits. CFI focuses purely on one security domain. That is, transitions
between user space an... | [
{
"created": "Mon, 28 Feb 2022 12:17:32 GMT",
"version": "v1"
}
] | 2022-03-01 | [
[
"Canella",
"Claudio",
""
],
[
"Dorn",
"Sebastian",
""
],
[
"Gruss",
"Daniel",
""
],
[
"Schwarz",
"Michael",
""
]
] | Growing code bases of modern applications have led to a steady increase in the number of vulnerabilities. Control-Flow Integrity (CFI) is one promising mitigation that is more and more widely deployed and prevents numerous exploits. CFI focuses purely on one security domain. That is, transitions between user space and ... |
2402.03111 | R\'emi Pr\'ebet | R\'emi Pr\'ebet and Mohab Safey El Din and \'Eric Schost | Computing roadmaps in unbounded smooth real algebraic sets II: algorithm
and complexity | 60 pages | null | null | null | cs.SC math.AG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A roadmap for an algebraic set $V$ defined by polynomials with coefficients
in some real field, say $\mathbb{R}$, is an algebraic curve contained in $V$
whose intersection with all connected components of $V\cap\mathbb{R}^{n}$ is
connected. These objects, introduced by Canny, can be used to answer
connectivity querie... | [
{
"created": "Mon, 5 Feb 2024 15:44:16 GMT",
"version": "v1"
}
] | 2024-02-06 | [
[
"Prébet",
"Rémi",
""
],
[
"Din",
"Mohab Safey El",
""
],
[
"Schost",
"Éric",
""
]
] | A roadmap for an algebraic set $V$ defined by polynomials with coefficients in some real field, say $\mathbb{R}$, is an algebraic curve contained in $V$ whose intersection with all connected components of $V\cap\mathbb{R}^{n}$ is connected. These objects, introduced by Canny, can be used to answer connectivity queries ... |
1810.07791 | Dominika Woszczyk | Dominika Woszczyk, Gerasimos Spanakis | MaaSim: A Liveability Simulation for Improving the Quality of Life in
Cities | 16 pages | null | null | null | cs.CY cs.HC cs.LG cs.NE stat.ML | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Urbanism is no longer planned on paper thanks to powerful models and 3D
simulation platforms. However, current work is not open to the public and lacks
an optimisation agent that could help in decision making. This paper describes
the creation of an open-source simulation based on an existing Dutch
liveability score ... | [
{
"created": "Sat, 13 Oct 2018 15:19:41 GMT",
"version": "v1"
}
] | 2018-10-19 | [
[
"Woszczyk",
"Dominika",
""
],
[
"Spanakis",
"Gerasimos",
""
]
] | Urbanism is no longer planned on paper thanks to powerful models and 3D simulation platforms. However, current work is not open to the public and lacks an optimisation agent that could help in decision making. This paper describes the creation of an open-source simulation based on an existing Dutch liveability score wi... |
2210.01633 | Michael Cohen | Michael K. Cohen, Samuel Daulton, Michael A. Osborne | Log-Linear-Time Gaussian Processes Using Binary Tree Kernels | NeurIPS 2022; 9 pages + appendices | Adv.Neur.Info.Proc.Sys. 35 (2022) 8118-8129 | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Gaussian processes (GPs) produce good probabilistic models of functions, but
most GP kernels require $O((n+m)n^2)$ time, where $n$ is the number of data
points and $m$ the number of predictive locations. We present a new kernel that
allows for Gaussian process regression in $O((n+m)\log(n+m))$ time. Our "binary
tree"... | [
{
"created": "Tue, 4 Oct 2022 14:30:06 GMT",
"version": "v1"
}
] | 2023-04-03 | [
[
"Cohen",
"Michael K.",
""
],
[
"Daulton",
"Samuel",
""
],
[
"Osborne",
"Michael A.",
""
]
] | Gaussian processes (GPs) produce good probabilistic models of functions, but most GP kernels require $O((n+m)n^2)$ time, where $n$ is the number of data points and $m$ the number of predictive locations. We present a new kernel that allows for Gaussian process regression in $O((n+m)\log(n+m))$ time. Our "binary tree" k... |
2006.01938 | Tenzin Singhay Bhotia | Vaibhav Kumar, Tenzin Singhay Bhotia, Vaibhav Kumar, Tanmoy
Chakraborty | Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased
Proximities in Word Embeddings | TACL 2020 | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | Word embeddings are the standard model for semantic and syntactic
representations of words. Unfortunately, these models have been shown to
exhibit undesirable word associations resulting from gender, racial, and
religious biases. Existing post-processing methods for debiasing word
embeddings are unable to mitigate ge... | [
{
"created": "Tue, 2 Jun 2020 20:50:43 GMT",
"version": "v1"
}
] | 2020-06-04 | [
[
"Kumar",
"Vaibhav",
""
],
[
"Bhotia",
"Tenzin Singhay",
""
],
[
"Kumar",
"Vaibhav",
""
],
[
"Chakraborty",
"Tanmoy",
""
]
] | Word embeddings are the standard model for semantic and syntactic representations of words. Unfortunately, these models have been shown to exhibit undesirable word associations resulting from gender, racial, and religious biases. Existing post-processing methods for debiasing word embeddings are unable to mitigate gend... |
2403.19930 | Shulin Liu | Shulin Liu, Chengcheng Xu, Hao Liu, Tinghao Yu, Tao Yang | Are LLMs Effective Backbones for Fine-tuning? An Experimental
Investigation of Supervised LLMs on Chinese Short Text Matching | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The recent success of Large Language Models (LLMs) has garnered significant
attention in both academia and industry. Prior research on LLMs has primarily
focused on enhancing or leveraging their generalization capabilities in zero-
and few-shot settings. However, there has been limited investigation into
effectively ... | [
{
"created": "Fri, 29 Mar 2024 02:36:54 GMT",
"version": "v1"
}
] | 2024-04-01 | [
[
"Liu",
"Shulin",
""
],
[
"Xu",
"Chengcheng",
""
],
[
"Liu",
"Hao",
""
],
[
"Yu",
"Tinghao",
""
],
[
"Yang",
"Tao",
""
]
] | The recent success of Large Language Models (LLMs) has garnered significant attention in both academia and industry. Prior research on LLMs has primarily focused on enhancing or leveraging their generalization capabilities in zero- and few-shot settings. However, there has been limited investigation into effectively fi... |
2102.02938 | Stephen MacDonell | Stephen G. MacDonell | The Impact of Sampling and Rule Set Size on Generated Fuzzy Inference
System Predictive Accuracy: Analysis of a Software Engineering Data Set | Conference paper, 7 pages, 5 tables, 7 figures | Proceedings of the 12th Engineering Applications of Neural
Networks (EANN)/7th Artificial Intelligence Applications and Innovations
(AIAI) Joint Conferences (EANN-AIAI2011) | 10.1007/978-3-642-23960-1_43 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Software project management makes extensive use of predictive modeling to
estimate product size, defect proneness and development effort. Although
uncertainty is acknowledged in these tasks, fuzzy inference systems, designed
to cope well with uncertainty, have received only limited attention in the
software engineeri... | [
{
"created": "Fri, 5 Feb 2021 00:42:52 GMT",
"version": "v1"
}
] | 2021-02-08 | [
[
"MacDonell",
"Stephen G.",
""
]
] | Software project management makes extensive use of predictive modeling to estimate product size, defect proneness and development effort. Although uncertainty is acknowledged in these tasks, fuzzy inference systems, designed to cope well with uncertainty, have received only limited attention in the software engineering... |
2303.07230 | Fatemeh Hadadi | Fatemeh Hadadi, Joshua H. Dawes, Donghwan Shin, Domenico Bianculli,
Lionel Briand | Systematic Evaluation of Deep Learning Models for Log-based Failure
Prediction | Accepted by EMSE'24 | Empir Software Eng 29, 105 (2024) | 10.1007/s10664-024-10501-4 | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | With the increasing complexity and scope of software systems, their
dependability is crucial. The analysis of log data recorded during system
execution can enable engineers to automatically predict failures at run time.
Several Machine Learning (ML) techniques, including traditional ML and Deep
Learning (DL), have be... | [
{
"created": "Mon, 13 Mar 2023 16:04:14 GMT",
"version": "v1"
},
{
"created": "Thu, 26 Oct 2023 20:07:45 GMT",
"version": "v2"
},
{
"created": "Tue, 30 Apr 2024 16:25:17 GMT",
"version": "v3"
},
{
"created": "Mon, 24 Jun 2024 04:36:05 GMT",
"version": "v4"
}
] | 2024-06-25 | [
[
"Hadadi",
"Fatemeh",
""
],
[
"Dawes",
"Joshua H.",
""
],
[
"Shin",
"Donghwan",
""
],
[
"Bianculli",
"Domenico",
""
],
[
"Briand",
"Lionel",
""
]
] | With the increasing complexity and scope of software systems, their dependability is crucial. The analysis of log data recorded during system execution can enable engineers to automatically predict failures at run time. Several Machine Learning (ML) techniques, including traditional ML and Deep Learning (DL), have been... |
1907.01201 | Qinmeng Zou | Qinmeng Zou and Frederic Magoules | Convergence Detection of Asynchronous Iterations based on Modified
Recursive Doubling | null | 17th International Symposium on Distributed Computing and
Applications for Business Engineering and Science (DCABES), 2018, IEEE | 10.1109/dcabes.2018.00081 | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper addresses the distributed convergence detection problem in
asynchronous iterations. A modified recursive doubling algorithm is
investigated in order to adapt to the non-power-of-two case. Some convergence
detection algorithms are illustrated based on the reduction operation. Finally,
a concluding discussio... | [
{
"created": "Tue, 2 Jul 2019 07:04:31 GMT",
"version": "v1"
}
] | 2019-07-12 | [
[
"Zou",
"Qinmeng",
""
],
[
"Magoules",
"Frederic",
""
]
] | This paper addresses the distributed convergence detection problem in asynchronous iterations. A modified recursive doubling algorithm is investigated in order to adapt to the non-power-of-two case. Some convergence detection algorithms are illustrated based on the reduction operation. Finally, a concluding discussion ... |
2307.09020 | Sunder Ali Khowaja | Sunder Ali Khowaja, Lewis Nkenyereye, Ghulam Mujtaba, Ik Hyun Lee,
Giancarlo Fortino, Kapal Dev | FISTNet: FusIon of STyle-path generative Networks for Facial Style
Transfer | 21 pages, 6 figures, 2 tables | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | With the surge in emerging technologies such as Metaverse, spatial computing,
and generative AI, the application of facial style transfer has gained a lot of
interest from researchers as well as startups enthusiasts alike. StyleGAN
methods have paved the way for transfer-learning strategies that could reduce
the depe... | [
{
"created": "Tue, 18 Jul 2023 07:20:31 GMT",
"version": "v1"
},
{
"created": "Thu, 19 Oct 2023 13:51:08 GMT",
"version": "v2"
},
{
"created": "Tue, 2 Apr 2024 15:46:19 GMT",
"version": "v3"
}
] | 2024-04-03 | [
[
"Khowaja",
"Sunder Ali",
""
],
[
"Nkenyereye",
"Lewis",
""
],
[
"Mujtaba",
"Ghulam",
""
],
[
"Lee",
"Ik Hyun",
""
],
[
"Fortino",
"Giancarlo",
""
],
[
"Dev",
"Kapal",
""
]
] | With the surge in emerging technologies such as Metaverse, spatial computing, and generative AI, the application of facial style transfer has gained a lot of interest from researchers as well as startups enthusiasts alike. StyleGAN methods have paved the way for transfer-learning strategies that could reduce the depend... |
1511.03774 | Lijie Chen | Lijie Chen, Jian Li | On the Optimal Sample Complexity for Best Arm Identification | null | null | null | null | cs.LG cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the best arm identification (BEST-1-ARM) problem, which is defined
as follows. We are given $n$ stochastic bandit arms. The $i$th arm has a reward
distribution $D_i$ with an unknown mean $\mu_{i}$. Upon each play of the $i$th
arm, we can get a reward, sampled i.i.d. from $D_i$. We would like to identify
the ... | [
{
"created": "Thu, 12 Nov 2015 04:49:46 GMT",
"version": "v1"
},
{
"created": "Fri, 13 Nov 2015 05:47:39 GMT",
"version": "v2"
},
{
"created": "Tue, 23 Aug 2016 18:05:29 GMT",
"version": "v3"
}
] | 2016-08-24 | [
[
"Chen",
"Lijie",
""
],
[
"Li",
"Jian",
""
]
] | We study the best arm identification (BEST-1-ARM) problem, which is defined as follows. We are given $n$ stochastic bandit arms. The $i$th arm has a reward distribution $D_i$ with an unknown mean $\mu_{i}$. Upon each play of the $i$th arm, we can get a reward, sampled i.i.d. from $D_i$. We would like to identify the ar... |
1110.1734 | Debaditya Ghosh | Debaditya Ghosh, Pritam Majumder, Ayan Kumar Das | A New Energy Efficient Approach Towards WASN Routing with Modified QCS
Protocol | 18 pages, 14 figures | International Journal of Ad hoc, Sensor & Ubiquitous Computing
(IJASUC) Vol.2, No.3, September 2011 | 10.5121/ijasuc.2011.230 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In today's world Wireless Ad-hoc sensor network, consists of small sensor
nodes having limited resources, has a great potential to solve problems in
various domain including disaster management. In this paper "QCS-protocol" is
modified which was introduced in our previous paper [1] and named as "Modified
QCS-protocol... | [
{
"created": "Sat, 8 Oct 2011 13:30:09 GMT",
"version": "v1"
}
] | 2011-10-11 | [
[
"Ghosh",
"Debaditya",
""
],
[
"Majumder",
"Pritam",
""
],
[
"Das",
"Ayan Kumar",
""
]
] | In today's world Wireless Ad-hoc sensor network, consists of small sensor nodes having limited resources, has a great potential to solve problems in various domain including disaster management. In this paper "QCS-protocol" is modified which was introduced in our previous paper [1] and named as "Modified QCS-protocol".... |
2403.18882 | Igor Ivkic | Igor Ivki\'c, Tobias Buhmann, Burkhard List, Clemens Gnauer | Towards a Cost-Benefit Analysis of Additive Manufacturing as a Service | In Proceedings of the 14th International Conference on Cloud
Computing and Services Science (CLOSER 2024). Angers, France | null | null | null | cs.OH | http://creativecommons.org/licenses/by/4.0/ | The landscape of traditional industrial manufacturing is undergoing a pivotal
shift from resource-intensive production and long supply chains to more
sustainable and regionally focused economies. In this evolving scenario, the
move towards local, on-demand manufacturing is emerging as a remedy to the
environmentally ... | [
{
"created": "Wed, 27 Mar 2024 13:52:53 GMT",
"version": "v1"
}
] | 2024-03-29 | [
[
"Ivkić",
"Igor",
""
],
[
"Buhmann",
"Tobias",
""
],
[
"List",
"Burkhard",
""
],
[
"Gnauer",
"Clemens",
""
]
] | The landscape of traditional industrial manufacturing is undergoing a pivotal shift from resource-intensive production and long supply chains to more sustainable and regionally focused economies. In this evolving scenario, the move towards local, on-demand manufacturing is emerging as a remedy to the environmentally da... |
1711.07710 | Arindam Khan | Waldo G\'alvez and Fabrizio Grandoni and Sandy Heydrich and Salvatore
Ingala and Arindam Khan and Andreas Wiese | Approximating Geometric Knapsack via L-packings | 64pages, full version of FOCS 2017 paper | null | null | null | cs.DS cs.CG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the two-dimensional geometric knapsack problem (2DK) in which we are
given a set of n axis-aligned rectangular items, each one with an associated
profit, and an axis-aligned square knapsack. The goal is to find a
(non-overlapping) packing of a maximum profit subset of items inside the
knapsack (without rotat... | [
{
"created": "Tue, 21 Nov 2017 10:46:35 GMT",
"version": "v1"
}
] | 2017-11-22 | [
[
"Gálvez",
"Waldo",
""
],
[
"Grandoni",
"Fabrizio",
""
],
[
"Heydrich",
"Sandy",
""
],
[
"Ingala",
"Salvatore",
""
],
[
"Khan",
"Arindam",
""
],
[
"Wiese",
"Andreas",
""
]
] | We study the two-dimensional geometric knapsack problem (2DK) in which we are given a set of n axis-aligned rectangular items, each one with an associated profit, and an axis-aligned square knapsack. The goal is to find a (non-overlapping) packing of a maximum profit subset of items inside the knapsack (without rotatin... |
1208.2766 | EPTCS | Gabriele Fici (Universit\'e Nice Sophia Antipolis, France), Francesca
Fiorenzi (Universit\'e Paris-Sud 11, France) | Topological properties of cellular automata on trees | In Proceedings AUTOMATA&JAC 2012, arXiv:1208.2498 | EPTCS 90, 2012, pp. 255-266 | 10.4204/EPTCS.90.20 | null | cs.FL cs.CC cs.DM nlin.CG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We prove that there do not exist positively expansive cellular automata
defined on the full k-ary tree shift (for k>=2). Moreover, we investigate some
topological properties of these automata and their relationships, namely
permutivity, surjectivity, preinjectivity, right-closingness and openness.
| [
{
"created": "Tue, 14 Aug 2012 01:55:58 GMT",
"version": "v1"
}
] | 2012-08-15 | [
[
"Fici",
"Gabriele",
"",
"Université Nice Sophia Antipolis, France"
],
[
"Fiorenzi",
"Francesca",
"",
"Université Paris-Sud 11, France"
]
] | We prove that there do not exist positively expansive cellular automata defined on the full k-ary tree shift (for k>=2). Moreover, we investigate some topological properties of these automata and their relationships, namely permutivity, surjectivity, preinjectivity, right-closingness and openness. |
2009.06343 | Selahattin Serdar Helli | Selahattin Serdar Helli, \c{C}a\u{g}kan Dem\.irc\.i, Onur \c{C}oban
and Anda\c{c} Hamamci | Short-Term Forecasting COVID-19 Cases In Turkey Using Long Short-Term
Memory Network | 4 pages,4 figures | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | COVID-19 has been one of the most severe diseases, causing a harsh pandemic
all over the world, since December 2019. The aim of this study is to evaluate
the value of Long Short-Term Memory (LSTM) Networks in forecasting the total
number of COVID-19 cases in Turkey. The COVID-19 data for 30 days, between
March 24 and... | [
{
"created": "Mon, 14 Sep 2020 12:01:40 GMT",
"version": "v1"
},
{
"created": "Wed, 16 Sep 2020 12:10:32 GMT",
"version": "v2"
}
] | 2020-09-17 | [
[
"Helli",
"Selahattin Serdar",
""
],
[
"Demirci",
"Çağkan",
""
],
[
"Çoban",
"Onur",
""
],
[
"Hamamci",
"Andaç",
""
]
] | COVID-19 has been one of the most severe diseases, causing a harsh pandemic all over the world, since December 2019. The aim of this study is to evaluate the value of Long Short-Term Memory (LSTM) Networks in forecasting the total number of COVID-19 cases in Turkey. The COVID-19 data for 30 days, between March 24 and A... |
2312.03430 | Zhuoyan Liu | Zhuoyan Liu, Bo Wang, Lizhi Wang, Chenyu Mao, Ye Li | ShareCMP: Polarization-Aware RGB-P Semantic Segmentation | 10 pages, 5 figures | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Multimodal semantic segmentation is developing rapidly, but the modality of
RGB-Polarization remains underexplored. To delve into this problem, we
construct a UPLight RGB-P segmentation benchmark with 12 typical underwater
semantic classes. In this work, we design the ShareCMP, an RGB-P semantic
segmentation framewor... | [
{
"created": "Wed, 6 Dec 2023 11:25:40 GMT",
"version": "v1"
},
{
"created": "Sun, 10 Dec 2023 03:02:22 GMT",
"version": "v2"
}
] | 2023-12-12 | [
[
"Liu",
"Zhuoyan",
""
],
[
"Wang",
"Bo",
""
],
[
"Wang",
"Lizhi",
""
],
[
"Mao",
"Chenyu",
""
],
[
"Li",
"Ye",
""
]
] | Multimodal semantic segmentation is developing rapidly, but the modality of RGB-Polarization remains underexplored. To delve into this problem, we construct a UPLight RGB-P segmentation benchmark with 12 typical underwater semantic classes. In this work, we design the ShareCMP, an RGB-P semantic segmentation framework ... |
1112.1335 | Guodong Shi | Guodong Shi, Yiguang Hong and K. H. Johansson | Connectivity and Set Tracking of Multi-agent Systems Guided by Multiple
Moving Leaders | null | null | null | null | cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we investigate distributed multi-agent tracking of a convex
set specified by multiple moving leaders with unmeasurable velocities. Various
jointly-connected interaction topologies of the follower agents with
uncertainties are considered in the study of set tracking. Based on the
connectivity of the tim... | [
{
"created": "Tue, 6 Dec 2011 16:30:35 GMT",
"version": "v1"
}
] | 2015-03-19 | [
[
"Shi",
"Guodong",
""
],
[
"Hong",
"Yiguang",
""
],
[
"Johansson",
"K. H.",
""
]
] | In this paper, we investigate distributed multi-agent tracking of a convex set specified by multiple moving leaders with unmeasurable velocities. Various jointly-connected interaction topologies of the follower agents with uncertainties are considered in the study of set tracking. Based on the connectivity of the time-... |
2103.17182 | Zeke Xie | Zeke Xie, Li Yuan, Zhanxing Zhu, and Masashi Sugiyama | Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to
Improve Generalization | ICML 2021; 20 pages; 13 figures; We fixed some typos in the updated
version | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | It is well-known that stochastic gradient noise (SGN) acts as implicit
regularization for deep learning and is essentially important for both
optimization and generalization of deep networks. Some works attempted to
artificially simulate SGN by injecting random noise to improve deep learning.
However, it turned out t... | [
{
"created": "Wed, 31 Mar 2021 16:08:06 GMT",
"version": "v1"
},
{
"created": "Mon, 10 May 2021 12:21:32 GMT",
"version": "v2"
},
{
"created": "Sun, 6 Jun 2021 15:19:52 GMT",
"version": "v3"
},
{
"created": "Tue, 12 Oct 2021 05:39:54 GMT",
"version": "v4"
},
{
"cr... | 2022-08-31 | [
[
"Xie",
"Zeke",
""
],
[
"Yuan",
"Li",
""
],
[
"Zhu",
"Zhanxing",
""
],
[
"Sugiyama",
"Masashi",
""
]
] | It is well-known that stochastic gradient noise (SGN) acts as implicit regularization for deep learning and is essentially important for both optimization and generalization of deep networks. Some works attempted to artificially simulate SGN by injecting random noise to improve deep learning. However, it turned out tha... |
2311.17216 | Hang Li | Hang Li, Chengzhi Shen, Philip Torr, Volker Tresp, Jindong Gu | Self-Discovering Interpretable Diffusion Latent Directions for
Responsible Text-to-Image Generation | Accepted to CVPR 2024 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Diffusion-based models have gained significant popularity for text-to-image
generation due to their exceptional image-generation capabilities. A risk with
these models is the potential generation of inappropriate content, such as
biased or harmful images. However, the underlying reasons for generating such
undesired ... | [
{
"created": "Tue, 28 Nov 2023 20:40:45 GMT",
"version": "v1"
},
{
"created": "Thu, 28 Mar 2024 14:58:59 GMT",
"version": "v2"
}
] | 2024-03-29 | [
[
"Li",
"Hang",
""
],
[
"Shen",
"Chengzhi",
""
],
[
"Torr",
"Philip",
""
],
[
"Tresp",
"Volker",
""
],
[
"Gu",
"Jindong",
""
]
] | Diffusion-based models have gained significant popularity for text-to-image generation due to their exceptional image-generation capabilities. A risk with these models is the potential generation of inappropriate content, such as biased or harmful images. However, the underlying reasons for generating such undesired co... |
2211.14308 | Guillaume Le Moing | Guillaume Le Moing and Jean Ponce and Cordelia Schmid | WALDO: Future Video Synthesis using Object Layer Decomposition and
Parametric Flow Prediction | Accepted to ICCV 2023 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents WALDO (WArping Layer-Decomposed Objects), a novel
approach to the prediction of future video frames from past ones. Individual
images are decomposed into multiple layers combining object masks and a small
set of control points. The layer structure is shared across all frames in each
video to build... | [
{
"created": "Fri, 25 Nov 2022 18:59:46 GMT",
"version": "v1"
},
{
"created": "Tue, 21 Mar 2023 15:22:30 GMT",
"version": "v2"
},
{
"created": "Tue, 29 Aug 2023 07:58:49 GMT",
"version": "v3"
}
] | 2023-08-30 | [
[
"Moing",
"Guillaume Le",
""
],
[
"Ponce",
"Jean",
""
],
[
"Schmid",
"Cordelia",
""
]
] | This paper presents WALDO (WArping Layer-Decomposed Objects), a novel approach to the prediction of future video frames from past ones. Individual images are decomposed into multiple layers combining object masks and a small set of control points. The layer structure is shared across all frames in each video to build d... |
2207.08569 | Kosmas Dimitropoulos | Dimitrios Konstantinidis, Ilias Papastratis, Kosmas Dimitropoulos,
Petros Daras | Multi-manifold Attention for Vision Transformers | This work has been submitted to the IEEE for possible publication.
Copyright may be transferred without notice, after which this version may no
longer be accessible | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Vision Transformers are very popular nowadays due to their state-of-the-art
performance in several computer vision tasks, such as image classification and
action recognition. Although their performance has been greatly enhanced
through highly descriptive patch embeddings and hierarchical structures, there
is still li... | [
{
"created": "Mon, 18 Jul 2022 12:53:53 GMT",
"version": "v1"
},
{
"created": "Wed, 30 Nov 2022 13:45:41 GMT",
"version": "v2"
},
{
"created": "Tue, 5 Sep 2023 09:05:15 GMT",
"version": "v3"
}
] | 2023-09-06 | [
[
"Konstantinidis",
"Dimitrios",
""
],
[
"Papastratis",
"Ilias",
""
],
[
"Dimitropoulos",
"Kosmas",
""
],
[
"Daras",
"Petros",
""
]
] | Vision Transformers are very popular nowadays due to their state-of-the-art performance in several computer vision tasks, such as image classification and action recognition. Although their performance has been greatly enhanced through highly descriptive patch embeddings and hierarchical structures, there is still limi... |
2102.04925 | Chuhan Wu | Chuhan Wu, Fangzhao Wu, Yang Cao, Yongfeng Huang, Xing Xie | FedGNN: Federated Graph Neural Network for Privacy-Preserving
Recommendation | null | null | 10.1038/s41467-022-30714-9 | null | cs.IR | http://creativecommons.org/licenses/by/4.0/ | Graph neural network (GNN) is widely used for recommendation to model
high-order interactions between users and items. Existing GNN-based
recommendation methods rely on centralized storage of user-item graphs and
centralized model learning. However, user data is privacy-sensitive, and the
centralized storage of user-... | [
{
"created": "Tue, 9 Feb 2021 16:30:53 GMT",
"version": "v1"
},
{
"created": "Mon, 1 Mar 2021 08:27:46 GMT",
"version": "v2"
}
] | 2022-10-12 | [
[
"Wu",
"Chuhan",
""
],
[
"Wu",
"Fangzhao",
""
],
[
"Cao",
"Yang",
""
],
[
"Huang",
"Yongfeng",
""
],
[
"Xie",
"Xing",
""
]
] | Graph neural network (GNN) is widely used for recommendation to model high-order interactions between users and items. Existing GNN-based recommendation methods rely on centralized storage of user-item graphs and centralized model learning. However, user data is privacy-sensitive, and the centralized storage of user-it... |
2307.07699 | Joohyung Lee | Adam Ishay, Zhun Yang, Joohyung Lee | Leveraging Large Language Models to Generate Answer Set Programs | 17 pages, KR 2023 | null | null | null | cs.AI cs.CL cs.SC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large language models (LLMs), such as GPT-3 and GPT-4, have demonstrated
exceptional performance in various natural language processing tasks and have
shown the ability to solve certain reasoning problems. However, their reasoning
capabilities are limited and relatively shallow, despite the application of
various pro... | [
{
"created": "Sat, 15 Jul 2023 03:40:55 GMT",
"version": "v1"
}
] | 2023-07-18 | [
[
"Ishay",
"Adam",
""
],
[
"Yang",
"Zhun",
""
],
[
"Lee",
"Joohyung",
""
]
] | Large language models (LLMs), such as GPT-3 and GPT-4, have demonstrated exceptional performance in various natural language processing tasks and have shown the ability to solve certain reasoning problems. However, their reasoning capabilities are limited and relatively shallow, despite the application of various promp... |
1904.03084 | Lukas Schmelzeisen | Ipek Baris and Lukas Schmelzeisen and Steffen Staab | CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors | 5 pages, 2 figures, 3 tables. Accepted for publication at
SemEval@NAACL-HLT 2019 | SemEval@NAACL-HLT (2019) 1105-1109 | 10.18653/v1/S19-2193 | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper describes our submission to SemEval-2019 Task 7: RumourEval:
Determining Rumor Veracity and Support for Rumors. We participated in both
subtasks. The goal of subtask A is to classify the type of interaction between
a rumorous social media post and a reply post as support, query, deny, or
comment. The goal ... | [
{
"created": "Fri, 5 Apr 2019 14:25:25 GMT",
"version": "v1"
}
] | 2020-11-30 | [
[
"Baris",
"Ipek",
""
],
[
"Schmelzeisen",
"Lukas",
""
],
[
"Staab",
"Steffen",
""
]
] | This paper describes our submission to SemEval-2019 Task 7: RumourEval: Determining Rumor Veracity and Support for Rumors. We participated in both subtasks. The goal of subtask A is to classify the type of interaction between a rumorous social media post and a reply post as support, query, deny, or comment. The goal of... |
2210.06436 | Yuesong Shen | Yuesong Shen, Daniel Cremers | Deep Combinatorial Aggregation | NeurIPS 2022 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neural networks are known to produce poor uncertainty estimations, and a
variety of approaches have been proposed to remedy this issue. This includes
deep ensemble, a simple and effective method that achieves state-of-the-art
results for uncertainty-aware learning tasks. In this work, we explore a
combinatorial gener... | [
{
"created": "Wed, 12 Oct 2022 17:35:03 GMT",
"version": "v1"
}
] | 2022-10-13 | [
[
"Shen",
"Yuesong",
""
],
[
"Cremers",
"Daniel",
""
]
] | Neural networks are known to produce poor uncertainty estimations, and a variety of approaches have been proposed to remedy this issue. This includes deep ensemble, a simple and effective method that achieves state-of-the-art results for uncertainty-aware learning tasks. In this work, we explore a combinatorial general... |
2405.03228 | Jinying Xiao | Jinying Xiao, Ping Li, Jie Nie | TED: Accelerate Model Training by Internal Generalization | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large language models have demonstrated strong performance in recent years,
but the high cost of training drives the need for efficient methods to compress
dataset sizes. We propose TED pruning, a method that addresses the challenge of
overfitting under high pruning ratios by quantifying the model's ability to
improv... | [
{
"created": "Mon, 6 May 2024 07:40:13 GMT",
"version": "v1"
}
] | 2024-05-07 | [
[
"Xiao",
"Jinying",
""
],
[
"Li",
"Ping",
""
],
[
"Nie",
"Jie",
""
]
] | Large language models have demonstrated strong performance in recent years, but the high cost of training drives the need for efficient methods to compress dataset sizes. We propose TED pruning, a method that addresses the challenge of overfitting under high pruning ratios by quantifying the model's ability to improve ... |
2111.03322 | Mouhammad Sakr | Swen Jacobs (1), Mouhammad Sakr (2), Marcus V\"olp (2) ((1) CISPA
Helmholtz Center for Information Security, Saarbr\"ucken, Germany, (2) SnT,
University of Luxembourg) | Automatic Repair and Deadlock Detection for Parameterized Systems | null | null | null | null | cs.LO | http://creativecommons.org/licenses/by/4.0/ | We present an algorithm for the repair of parameterized systems. The repair
problem is, for a given process implementation, to find a refinement such that
a given safety property is satisfied by the resulting parameterized system, and
deadlocks are avoided. Our algorithm uses a parameterized model checker to
determin... | [
{
"created": "Fri, 5 Nov 2021 08:46:22 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Jul 2022 10:46:08 GMT",
"version": "v2"
},
{
"created": "Thu, 28 Jul 2022 13:49:29 GMT",
"version": "v3"
}
] | 2022-07-29 | [
[
"Jacobs",
"Swen",
""
],
[
"Sakr",
"Mouhammad",
""
],
[
"Völp",
"Marcus",
""
]
] | We present an algorithm for the repair of parameterized systems. The repair problem is, for a given process implementation, to find a refinement such that a given safety property is satisfied by the resulting parameterized system, and deadlocks are avoided. Our algorithm uses a parameterized model checker to determine ... |
2406.10730 | Pedro Hack | Pedro Hack | Order-theoretic models for decision-making: Learning, optimization,
complexity and computation | PhD thesis | null | 10.18725/OPARU-52612 | null | cs.IT cs.AI cs.LO math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The study of intelligent systems explains behaviour in terms of economic
rationality. This results in an optimization principle involving a function or
utility, which states that the system will evolve until the configuration of
maximum utility is achieved. Recently, this theory has incorporated
constraints, i.e., th... | [
{
"created": "Sat, 15 Jun 2024 20:20:43 GMT",
"version": "v1"
}
] | 2024-06-18 | [
[
"Hack",
"Pedro",
""
]
] | The study of intelligent systems explains behaviour in terms of economic rationality. This results in an optimization principle involving a function or utility, which states that the system will evolve until the configuration of maximum utility is achieved. Recently, this theory has incorporated constraints, i.e., the ... |
1908.06062 | Daniel Liu | Daniel Liu, Ronald Yu, Hao Su | Adversarial shape perturbations on 3D point clouds | 18 pages, accepted to the 2020 ECCV workshop on Adversarial
Robustness in the Real World, source code available at this https url:
https://github.com/Daniel-Liu-c0deb0t/Adversarial-point-perturbations-on-3D-objects | null | null | null | cs.CV cs.CR cs.LG eess.IV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The importance of training robust neural network grows as 3D data is
increasingly utilized in deep learning for vision tasks in robotics, drone
control, and autonomous driving. One commonly used 3D data type is 3D point
clouds, which describe shape information. We examine the problem of creating
robust models from th... | [
{
"created": "Fri, 16 Aug 2019 17:19:34 GMT",
"version": "v1"
},
{
"created": "Mon, 28 Sep 2020 00:04:59 GMT",
"version": "v2"
},
{
"created": "Fri, 23 Oct 2020 04:55:16 GMT",
"version": "v3"
}
] | 2020-10-26 | [
[
"Liu",
"Daniel",
""
],
[
"Yu",
"Ronald",
""
],
[
"Su",
"Hao",
""
]
] | The importance of training robust neural network grows as 3D data is increasingly utilized in deep learning for vision tasks in robotics, drone control, and autonomous driving. One commonly used 3D data type is 3D point clouds, which describe shape information. We examine the problem of creating robust models from the ... |
2402.19421 | Xingchen Xu | Lijia Ma, Xingchen Xu, Yong Tan | Crafting Knowledge: Exploring the Creative Mechanisms of Chat-Based
Search Engines | 38 pages, 2 figures, 7 tables | null | null | null | cs.IR cs.AI econ.GN q-fin.EC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the domain of digital information dissemination, search engines act as
pivotal conduits linking information seekers with providers. The advent of
chat-based search engines utilizing Large Language Models (LLMs) and Retrieval
Augmented Generation (RAG), exemplified by Bing Chat, marks an evolutionary
leap in the se... | [
{
"created": "Thu, 29 Feb 2024 18:20:37 GMT",
"version": "v1"
}
] | 2024-03-01 | [
[
"Ma",
"Lijia",
""
],
[
"Xu",
"Xingchen",
""
],
[
"Tan",
"Yong",
""
]
] | In the domain of digital information dissemination, search engines act as pivotal conduits linking information seekers with providers. The advent of chat-based search engines utilizing Large Language Models (LLMs) and Retrieval Augmented Generation (RAG), exemplified by Bing Chat, marks an evolutionary leap in the sear... |
2310.12362 | Ruisi Zhang | Ruisi Zhang, Shehzeen Samarah Hussain, Paarth Neekhara, Farinaz
Koushanfar | REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative
Large Language Models | accept to usenix security 2024 | null | null | null | cs.CR cs.CL | http://creativecommons.org/licenses/by/4.0/ | We present REMARK-LLM, a novel efficient, and robust watermarking framework
designed for texts generated by large language models (LLMs). Synthesizing
human-like content using LLMs necessitates vast computational resources and
extensive datasets, encapsulating critical intellectual property (IP). However,
the generat... | [
{
"created": "Wed, 18 Oct 2023 22:14:37 GMT",
"version": "v1"
},
{
"created": "Mon, 8 Apr 2024 00:16:46 GMT",
"version": "v2"
}
] | 2024-04-09 | [
[
"Zhang",
"Ruisi",
""
],
[
"Hussain",
"Shehzeen Samarah",
""
],
[
"Neekhara",
"Paarth",
""
],
[
"Koushanfar",
"Farinaz",
""
]
] | We present REMARK-LLM, a novel efficient, and robust watermarking framework designed for texts generated by large language models (LLMs). Synthesizing human-like content using LLMs necessitates vast computational resources and extensive datasets, encapsulating critical intellectual property (IP). However, the generated... |
2301.02423 | Shuai Liu | Shuai Liu, Xiao Guo, Shun Qi, Huaning Wang and Xiangyu Chang | Learning Personalized Brain Functional Connectivity of MDD Patients from
Multiple Sites via Federated Bayesian Networks | null | null | null | null | cs.LG q-bio.NC | http://creativecommons.org/licenses/by/4.0/ | Identifying functional connectivity biomarkers of major depressive disorder
(MDD) patients is essential to advance understanding of the disorder mechanisms
and early intervention. However, due to the small sample size and the high
dimension of available neuroimaging data, the performance of existing methods
is often ... | [
{
"created": "Fri, 6 Jan 2023 08:58:06 GMT",
"version": "v1"
}
] | 2023-01-09 | [
[
"Liu",
"Shuai",
""
],
[
"Guo",
"Xiao",
""
],
[
"Qi",
"Shun",
""
],
[
"Wang",
"Huaning",
""
],
[
"Chang",
"Xiangyu",
""
]
] | Identifying functional connectivity biomarkers of major depressive disorder (MDD) patients is essential to advance understanding of the disorder mechanisms and early intervention. However, due to the small sample size and the high dimension of available neuroimaging data, the performance of existing methods is often li... |
2202.10554 | Tugdual Ceillier | Arthur Vilhelm, Matthieu Limbert, Cl\'ement Audebert, Tugdual Ceillier | Ensemble Learning techniques for object detection in high-resolution
satellite images | Conference on Artificial Intelligence for Defense, Nov 2019, Rennes,
France | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Ensembling is a method that aims to maximize the detection performance by
fusing individual detectors. While rarely mentioned in deep-learning articles
applied to remote sensing, ensembling methods have been widely used to achieve
high scores in recent data science com-petitions, such as Kaggle. The few
remote sensin... | [
{
"created": "Wed, 16 Feb 2022 10:19:21 GMT",
"version": "v1"
}
] | 2022-02-23 | [
[
"Vilhelm",
"Arthur",
""
],
[
"Limbert",
"Matthieu",
""
],
[
"Audebert",
"Clément",
""
],
[
"Ceillier",
"Tugdual",
""
]
] | Ensembling is a method that aims to maximize the detection performance by fusing individual detectors. While rarely mentioned in deep-learning articles applied to remote sensing, ensembling methods have been widely used to achieve high scores in recent data science com-petitions, such as Kaggle. The few remote sensing ... |
2203.06053 | Saeed Mohammadi | Saeed Mohammadi and Mohammad Reza Hesamzadeh | A Machine Learning Approach for Prosumer Management in Intraday
Electricity Markets | 5 pages, 6 figures | null | null | null | cs.LG cs.AI cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Prosumer operators are dealing with extensive challenges to participate in
short-term electricity markets while taking uncertainties into account.
Challenges such as variation in demand, solar energy, wind power, and
electricity prices as well as faster response time in intraday electricity
markets. Machine learning ... | [
{
"created": "Fri, 11 Mar 2022 16:29:02 GMT",
"version": "v1"
}
] | 2022-03-14 | [
[
"Mohammadi",
"Saeed",
""
],
[
"Hesamzadeh",
"Mohammad Reza",
""
]
] | Prosumer operators are dealing with extensive challenges to participate in short-term electricity markets while taking uncertainties into account. Challenges such as variation in demand, solar energy, wind power, and electricity prices as well as faster response time in intraday electricity markets. Machine learning ap... |
2301.11683 | Alec Edwards | Alessandro Abate, Alec Edwards, Mirco Giacobbe | Neural Abstractions | NeurIPS 2022 | null | null | null | cs.LO cs.LG cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a novel method for the safety verification of nonlinear dynamical
models that uses neural networks to represent abstractions of their dynamics.
Neural networks have extensively been used before as approximators; in this
work, we make a step further and use them for the first time as abstractions.
For a giv... | [
{
"created": "Fri, 27 Jan 2023 12:38:09 GMT",
"version": "v1"
}
] | 2023-01-30 | [
[
"Abate",
"Alessandro",
""
],
[
"Edwards",
"Alec",
""
],
[
"Giacobbe",
"Mirco",
""
]
] | We present a novel method for the safety verification of nonlinear dynamical models that uses neural networks to represent abstractions of their dynamics. Neural networks have extensively been used before as approximators; in this work, we make a step further and use them for the first time as abstractions. For a given... |
0801.4714 | Miroslava Sotakova | Miroslava Sotakova | Breaking One-Round Key-Agreement Protocols in the Random Oracle Model | 6 pages | null | null | null | cs.CC cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we study one-round key-agreement protocols analogous to
Merkle's puzzles in the random oracle model. The players Alice and Bob are
allowed to query a random permutation oracle $n$ times and upon their queries
and communication, they both output the same key with high probability. We
prove that Eve can a... | [
{
"created": "Wed, 30 Jan 2008 19:34:34 GMT",
"version": "v1"
},
{
"created": "Wed, 12 Mar 2008 21:02:49 GMT",
"version": "v2"
},
{
"created": "Tue, 24 Mar 2009 12:17:31 GMT",
"version": "v3"
}
] | 2009-03-24 | [
[
"Sotakova",
"Miroslava",
""
]
] | In this paper we study one-round key-agreement protocols analogous to Merkle's puzzles in the random oracle model. The players Alice and Bob are allowed to query a random permutation oracle $n$ times and upon their queries and communication, they both output the same key with high probability. We prove that Eve can alw... |
0809.5096 | Hong Ju Park | Hong Ju Park and Ender Ayanoglu | Diversity Analysis of Bit-Interleaved Coded Multiple Beamforming | The maximum achievable diversity order from given convolutional code
with any interleaver is shown by using the Singleton bound | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, diversity analysis of bit-interleaved coded multiple
beamforming (BICMB) is extended to the case of general spatial interleavers,
removing a condition on their previously known design criteria and quantifying
the resulting diversity order. The diversity order is determined by a parameter
Qmax which is ... | [
{
"created": "Tue, 30 Sep 2008 00:14:10 GMT",
"version": "v1"
},
{
"created": "Wed, 29 Oct 2008 18:00:01 GMT",
"version": "v2"
},
{
"created": "Tue, 3 Feb 2009 01:49:02 GMT",
"version": "v3"
}
] | 2009-09-29 | [
[
"Park",
"Hong Ju",
""
],
[
"Ayanoglu",
"Ender",
""
]
] | In this paper, diversity analysis of bit-interleaved coded multiple beamforming (BICMB) is extended to the case of general spatial interleavers, removing a condition on their previously known design criteria and quantifying the resulting diversity order. The diversity order is determined by a parameter Qmax which is in... |
1906.02292 | Konstantinos Slavakis | Cong Ye, Konstantinos Slavakis, Pratik V. Patil, Sarah F. Muldoon,
John Medaglia | Brain-Network Clustering via Kernel-ARMA Modeling and the Grassmannian | null | null | null | null | cs.LG eess.SP stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advances in neuroscience and in the technology of functional magnetic
resonance imaging (fMRI) and electro-encephalography (EEG) have propelled a
growing interest in brain-network clustering via time-series analysis.
Notwithstanding, most of the brain-network clustering methods revolve around
state clustering ... | [
{
"created": "Wed, 5 Jun 2019 20:19:05 GMT",
"version": "v1"
}
] | 2019-06-07 | [
[
"Ye",
"Cong",
""
],
[
"Slavakis",
"Konstantinos",
""
],
[
"Patil",
"Pratik V.",
""
],
[
"Muldoon",
"Sarah F.",
""
],
[
"Medaglia",
"John",
""
]
] | Recent advances in neuroscience and in the technology of functional magnetic resonance imaging (fMRI) and electro-encephalography (EEG) have propelled a growing interest in brain-network clustering via time-series analysis. Notwithstanding, most of the brain-network clustering methods revolve around state clustering an... |
2407.05000 | Shaowen Wang | Shaowen Wang, Linxi Yu, Jian Li | LoRA-GA: Low-Rank Adaptation with Gradient Approximation | null | null | null | null | cs.LG cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Fine-tuning large-scale pretrained models is prohibitively expensive in terms
of computational and memory costs. LoRA, as one of the most popular
Parameter-Efficient Fine-Tuning (PEFT) methods, offers a cost-effective
alternative by fine-tuning an auxiliary low-rank model that has significantly
fewer parameters. Alth... | [
{
"created": "Sat, 6 Jul 2024 08:37:21 GMT",
"version": "v1"
},
{
"created": "Tue, 16 Jul 2024 07:32:23 GMT",
"version": "v2"
}
] | 2024-07-17 | [
[
"Wang",
"Shaowen",
""
],
[
"Yu",
"Linxi",
""
],
[
"Li",
"Jian",
""
]
] | Fine-tuning large-scale pretrained models is prohibitively expensive in terms of computational and memory costs. LoRA, as one of the most popular Parameter-Efficient Fine-Tuning (PEFT) methods, offers a cost-effective alternative by fine-tuning an auxiliary low-rank model that has significantly fewer parameters. Althou... |
2107.12704 | Staas De Jong | Staas de Jong | The cyclotactor: towards a tactile platform for musical interaction | Proceedings of the International Conference on New Interfaces for
Musical Expression, 2008 | null | 10.5281/zenodo.1179571 | null | cs.HC cs.SD eess.AS | http://creativecommons.org/licenses/by/4.0/ | This paper reports on work in progress on a finger-based tactile I/O device
for musical interaction. Central to the device is the ability to set up
cyclical relationships between tactile input and output. A direct practical
application of this to musical interaction is given, using the idea to
multiplex two degrees o... | [
{
"created": "Tue, 27 Jul 2021 10:02:57 GMT",
"version": "v1"
}
] | 2021-07-28 | [
[
"de Jong",
"Staas",
""
]
] | This paper reports on work in progress on a finger-based tactile I/O device for musical interaction. Central to the device is the ability to set up cyclical relationships between tactile input and output. A direct practical application of this to musical interaction is given, using the idea to multiplex two degrees of ... |
2305.18156 | Mengsay Loem | Mengsay Loem, Masahiro Kaneko, Sho Takase, Naoaki Okazaki | Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A
Study on Performance and Controllability in Prompt-Based Methods | Accepted in BEA 2023 | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large-scale pre-trained language models such as GPT-3 have shown remarkable
performance across various natural language processing tasks. However, applying
prompt-based methods with GPT-3 for Grammatical Error Correction (GEC) tasks
and their controllability remains underexplored. Controllability in GEC is
crucial fo... | [
{
"created": "Mon, 29 May 2023 15:31:29 GMT",
"version": "v1"
}
] | 2023-05-30 | [
[
"Loem",
"Mengsay",
""
],
[
"Kaneko",
"Masahiro",
""
],
[
"Takase",
"Sho",
""
],
[
"Okazaki",
"Naoaki",
""
]
] | Large-scale pre-trained language models such as GPT-3 have shown remarkable performance across various natural language processing tasks. However, applying prompt-based methods with GPT-3 for Grammatical Error Correction (GEC) tasks and their controllability remains underexplored. Controllability in GEC is crucial for ... |
2308.07760 | Bowei He | Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma | Dynamic Embedding Size Search with Minimum Regret for Streaming
Recommender System | Accepted for publication on CIKM2023 | null | 10.1145/3583780.3615135 | null | cs.IR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the continuous increase of users and items, conventional recommender
systems trained on static datasets can hardly adapt to changing environments.
The high-throughput data requires the model to be updated in a timely manner
for capturing the user interest dynamics, which leads to the emergence of
streaming recom... | [
{
"created": "Tue, 15 Aug 2023 13:27:18 GMT",
"version": "v1"
}
] | 2023-08-16 | [
[
"He",
"Bowei",
""
],
[
"He",
"Xu",
""
],
[
"Zhang",
"Renrui",
""
],
[
"Zhang",
"Yingxue",
""
],
[
"Tang",
"Ruiming",
""
],
[
"Ma",
"Chen",
""
]
] | With the continuous increase of users and items, conventional recommender systems trained on static datasets can hardly adapt to changing environments. The high-throughput data requires the model to be updated in a timely manner for capturing the user interest dynamics, which leads to the emergence of streaming recomme... |
1704.08598 | Phuong Nguyen | Phuong Nguyen and Klara Nahrstedt | Crowdsensing in Opportunistic Mobile Social Networks: A Context-aware
and Human-centric Approach | Long version of the IEEE MASS 2015 poster abstract titled
"Context-aware Crowd-sensing in Opportunistic Mobile Social Network" | null | null | null | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, there have been efforts to collect human contact traces
during social events (e.g., conferences) using Bluetooth devices (e.g., mobile
phones, iMotes). The results of these studies have enabled the ability to do
the crowd-sourcing task from within the crowd, in order to answer questions,
such as: wha... | [
{
"created": "Thu, 27 Apr 2017 14:28:28 GMT",
"version": "v1"
}
] | 2017-04-28 | [
[
"Nguyen",
"Phuong",
""
],
[
"Nahrstedt",
"Klara",
""
]
] | In recent years, there have been efforts to collect human contact traces during social events (e.g., conferences) using Bluetooth devices (e.g., mobile phones, iMotes). The results of these studies have enabled the ability to do the crowd-sourcing task from within the crowd, in order to answer questions, such as: what ... |
2105.13655 | Dabeen Lee | Dabeen Lee, Milan Vojnovic | Scheduling Jobs with Stochastic Holding Costs | Extended abstract appeared in NeurIPS 2021 | null | null | null | cs.LG cs.DS math.OC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study a single-server scheduling problem for the objective of minimizing
the expected cumulative holding cost incurred by jobs, where parameters
defining stochastic job holding costs are unknown to the scheduler. We consider
a general setting allowing for different job classes, where jobs of the same
class have st... | [
{
"created": "Fri, 28 May 2021 08:04:06 GMT",
"version": "v1"
},
{
"created": "Tue, 26 Oct 2021 22:42:45 GMT",
"version": "v2"
},
{
"created": "Wed, 21 Sep 2022 05:25:43 GMT",
"version": "v3"
}
] | 2022-09-22 | [
[
"Lee",
"Dabeen",
""
],
[
"Vojnovic",
"Milan",
""
]
] | We study a single-server scheduling problem for the objective of minimizing the expected cumulative holding cost incurred by jobs, where parameters defining stochastic job holding costs are unknown to the scheduler. We consider a general setting allowing for different job classes, where jobs of the same class have stat... |
2109.13770 | Andrew Lee | Andrew Lee, Jonathan K. Kummerfeld, Lawrence C. An, Rada Mihalcea | Micromodels for Efficient, Explainable, and Reusable Systems: A Case
Study on Mental Health | To appear in Findings of EMNLP 2021 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Many statistical models have high accuracy on test benchmarks, but are not
explainable, struggle in low-resource scenarios, cannot be reused for multiple
tasks, and cannot easily integrate domain expertise. These factors limit their
use, particularly in settings such as mental health, where it is difficult to
annotat... | [
{
"created": "Tue, 28 Sep 2021 14:45:59 GMT",
"version": "v1"
}
] | 2021-09-29 | [
[
"Lee",
"Andrew",
""
],
[
"Kummerfeld",
"Jonathan K.",
""
],
[
"An",
"Lawrence C.",
""
],
[
"Mihalcea",
"Rada",
""
]
] | Many statistical models have high accuracy on test benchmarks, but are not explainable, struggle in low-resource scenarios, cannot be reused for multiple tasks, and cannot easily integrate domain expertise. These factors limit their use, particularly in settings such as mental health, where it is difficult to annotate ... |
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